xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

01147e4a82a4a696af3efd6740c7aef0e620cc34

129

py

Python

rBN/utils/eval.py

hiroki-kyoto/LogicNet

a9105c38c60fec8e74c7d039e58625c9b3b3e691

[ "MIT" ]

null

rBN/utils/eval.py

hiroki-kyoto/LogicNet

a9105c38c60fec8e74c7d039e58625c9b3b3e691

[ "MIT" ]

null

rBN/utils/eval.py

hiroki-kyoto/LogicNet

a9105c38c60fec8e74c7d039e58625c9b3b3e691

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F def eval(model: nn.Module, data, weight_path: str): pass

18.428571

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0.744186

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0.170543

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null

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7

0146fb0691528b5c331553be5368a038bea5f39a

46

py

Python

Release/Tests/AnalysisTest/Python.VS.TestData/Grammar/ExecStmt.py

rsumner33/PTVS

f5d67cff8c7bb32992dd4f77c0dfddaca6071250

[ "Apache-2.0" ]

null

Release/Tests/AnalysisTest/Python.VS.TestData/Grammar/ExecStmt.py

rsumner33/PTVS

f5d67cff8c7bb32992dd4f77c0dfddaca6071250

[ "Apache-2.0" ]

null

Release/Tests/AnalysisTest/Python.VS.TestData/Grammar/ExecStmt.py

rsumner33/PTVS

f5d67cff8c7bb32992dd4f77c0dfddaca6071250

[ "Apache-2.0" ]

1

2020-12-09T10:16:23.000Z

exec foo exec foo in bar exec foo in bar, baz

15.333333

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null

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7

0149bd1e4b96d3898353cfff34dce891d13a9168

269

py

Python

notebook/random_random.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

174

2018-05-30T21:14:50.000Z

2022-03-25T07:59:37.000Z

notebook/random_random.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

5

2019-08-10T03:22:02.000Z

2021-07-12T20:31:17.000Z

notebook/random_random.py

vhn0912/python-snippets

80b2e1d6b2b8f12ae30d6dbe86d25bb2b3a02038

[ "MIT" ]

53

2018-04-27T05:26:35.000Z

2022-03-25T07:59:37.000Z

import random print(random.random()) # 0.4496839011176701 random.seed(0) print(random.random()) # 0.8444218515250481 print(random.random()) # 0.7579544029403025 random.seed(0) print(random.random()) # 0.8444218515250481 print(random.random()) # 0.7579544029403025

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null

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1

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1

0

13

6dd2b1fb20e0bfa3e682005711696fdb77563e53

6,393

py

Python

tests/test_magics.py

davidesarra/jupyter_spaces

3152b226e14f5c9b21ae9e997efca50ff10b7757

[ "MIT" ]

24

2018-05-24T16:50:43.000Z

2021-09-07T00:34:33.000Z

tests/test_magics.py

davidesarra/jupyter_spaces

3152b226e14f5c9b21ae9e997efca50ff10b7757

[ "MIT" ]

15

2020-04-20T08:45:04.000Z

2021-03-26T07:14:53.000Z

tests/test_magics.py

davidesarra/jupyter_spaces

3152b226e14f5c9b21ae9e997efca50ff10b7757

[ "MIT" ]

2

2018-07-02T16:03:07.000Z

2022-03-30T22:40:45.000Z

from pytest import raises def test_space_can_access_user_namespace_references(ip): ip.run_cell(raw_cell="x = 100") ip.run_cell_magic(magic_name="space", line="tomato", cell="x") def test_space_references_prioritized_over_user_namespace_references(ip): ip.run_cell(raw_cell="x = 100") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99; assert x == 99") def test_space_cannot_alter_user_namespace_immutable_references(ip): ip.run_cell(raw_cell="x = 100") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") assert ip.user_global_ns["x"] == 100 def test_space_can_alter_user_namespace_mutable_references(ip): ip.run_cell(raw_cell="x = [1, 2, 3]") ip.run_cell_magic(magic_name="space", line="tomato", cell="x[-1] = 10") assert ip.user_global_ns["x"] == [1, 2, 10] def test_space_cannot_alter_user_namespace_references_using_global(ip): ip.run_cell(raw_cell="x = 100") ip.run_cell_magic(magic_name="space", line="tomato", cell="global x; x = 99") assert ip.user_global_ns["x"] == 100 def test_space_cannot_remove_user_namespace_references(ip): ip.run_cell(raw_cell="x = 100") with raises(NameError): ip.run_cell_magic(magic_name="space", line="tomato", cell="del x") assert ip.user_global_ns["x"] == 100 def test_space_cannot_remove_user_namespace_references_using_global(ip): ip.run_cell(raw_cell="x = 100") with raises(NameError): ip.run_cell_magic(magic_name="space", line="tomato", cell="global x; del x") assert "x" in ip.user_global_ns def test_space_cannot_add_user_namespace_references(ip): ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") assert "x" not in ip.user_global_ns def test_space_cannot_add_user_namespace_references_using_global(ip): ip.run_cell_magic(magic_name="space", line="tomato", cell="global x; x = 99") assert "x" not in ip.user_global_ns def test_space_reference_assignments_persist_in_new_magic_call(ip): ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell_magic(magic_name="space", line="tomato", cell="assert x == 99") def test_space_reference_deletions_persist_in_new_magic_call(ip): ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell_magic(magic_name="space", line="tomato", cell="del x") with raises(NameError): ip.run_cell_magic(magic_name="space", line="tomato", cell="x") def test_space_references_assignments_are_confined_in_one_space_only(ip): ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell_magic(magic_name="space", line="potato", cell="x = 100") ip.run_cell_magic(magic_name="space", line="tomato", cell="assert x == 99") def test_space_references_deletions_are_confined_in_one_space_only(ip): ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") with raises(NameError): ip.run_cell_magic(magic_name="space", line="potato", cell="del x") ip.run_cell_magic(magic_name="space", line="tomato", cell="assert x == 99") def test_space_can_execute_newly_defined_lambda_functions(ip): ip.run_cell_magic( magic_name="space", line="tomato", cell="f = lambda x: x + 1; y = f(x=2); assert y == 3", ) def test_space_can_execute_newly_defined_functions(ip): ip.run_cell_magic( magic_name="space", line="tomato", cell="def f(x): return x + 1; y = f(x=2); assert y == 3", ) def test_space_can_execute_top_level_non_closure_functions(ip): ip.run_cell_magic( magic_name="space", line="tomato", cell="def f(x): return x + 1\ndef g(x): return f(x=x) * 2\ny = g(x=3)", ) ip.run_cell_magic(magic_name="space", line="tomato", cell="assert y == 8") def test_get_spaces_can_access_space_references(ip): ip.run_cell(raw_cell="from jupyter_spaces import get_spaces") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell(raw_cell="spaces = get_spaces()") assert ip.user_global_ns["spaces"]["tomato"].namespace["x"] == 99 def test_get_spaces_can_alter_space_references(ip): ip.run_cell(raw_cell="from jupyter_spaces import get_spaces") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell(raw_cell="spaces = get_spaces()") ip.run_cell(raw_cell='spaces["tomato"].namespace["x"] = 101') assert ip.user_global_ns["spaces"]["tomato"].namespace["x"] == 101 def test_get_spaces_can_remove_space_references(ip): ip.run_cell(raw_cell="from jupyter_spaces import get_spaces") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell(raw_cell="spaces = get_spaces()") ip.run_cell(raw_cell='del spaces["tomato"].namespace["x"]') assert "x" not in ip.user_global_ns["spaces"]["tomato"].namespace def test_get_spaces_reflects_space_references_changes(ip): ip.run_cell(raw_cell="from jupyter_spaces import get_spaces") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell(raw_cell="spaces = get_spaces()") ip.run_cell(raw_cell='spaces["tomato"].namespace["x"] = 101') ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 11") assert ip.user_global_ns["spaces"]["tomato"].namespace["x"] == 11 def test_get_spaces_reflects_space_removal(ip): ip.run_cell(raw_cell="from jupyter_spaces import get_spaces") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell(raw_cell="spaces = get_spaces()") ip.run_line_magic(magic_name="remove_space", line="tomato") assert "tomato" not in ip.user_global_ns["spaces"] def test_get_spaces_reflects_extension_reload(ip): ip.run_cell(raw_cell="from jupyter_spaces import get_spaces") ip.run_cell_magic(magic_name="space", line="tomato", cell="x = 99") ip.run_cell(raw_cell="spaces = get_spaces()") ip.run_line_magic(magic_name="reload_ext", line="jupyter_spaces") assert not ip.user_global_ns["spaces"] def test_space_outputs_to_console(ip, capsys): ip.run_cell_magic(magic_name="space", line="tomato", cell="100") assert capsys.readouterr().out == "100\n" def test_space_can_print_to_console(ip, capsys): ip.run_cell_magic(magic_name="space", line="tomato", cell="print(100)") assert capsys.readouterr().out == "100\n"

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a3048b47315de4a38a708e652e230bf44746bfeb

10,355

py

Python

snake_game.py

JehunYoo/SnakeRL

3635e2e5bcd6d3147cafa90e57471dbc5587d49a

[ "MIT" ]

null

snake_game.py

JehunYoo/SnakeRL

3635e2e5bcd6d3147cafa90e57471dbc5587d49a

[ "MIT" ]

null

snake_game.py

JehunYoo/SnakeRL

3635e2e5bcd6d3147cafa90e57471dbc5587d49a

[ "MIT" ]

null

<<<<<<< HEAD ''' Game Description valid coordinate : ([0, 380], [0, 380]) pygame 좌표가 x축 방향은 똑같은데 y축 방향이 반대에 주의! ''' import pygame from pygame.locals import * import random, time class Snake(): def __init__(self, x, y): self.x = x # head self.y = y # head self.length = 1 self.go = 100 self.gone = 100 self.edible = False self.space = [(self.x, self.y)] # queue self.rect = [] self.surf = [] self.gene = [] # FIXME self.wall = None self.prey = None def update(self, delta_x=None, delta_y=None, prey_x=None, prey_y=None): if delta_x is not None: self.x += delta_x if delta_y is not None: self.y += delta_y self.space.insert(0, (self.x, self.y)) if not self.edible: self.space.pop() elif self.edible: self.edible = False self.wall = ((self.x - 0) / STEP, (self.x - SCREEN_SIZE + SIZE) / STEP, (self.y - 0) / STEP, (self.y - SCREEN_SIZE + SIZE) / STEP) self.prey = ((prey_x - self.x) / STEP, (prey_y - self.y) / STEP) def where(self): print(self.length, self.space, self.wall) def move(self): self.rect = [] self.surf = [] for idx, sp in enumerate(self.space): self.rect.append(pygame.Rect((sp[0], sp[1]), (SIZE, SIZE))) self.surf.append(pygame.Surface((SIZE, SIZE))) if idx == 0: self.surf[idx].fill(GREEN) elif idx == len(self.space) - 1: self.surf[idx].fill(BLUE) else: self.surf[idx].fill(WHITE) def eat(self): self.length += 1 self.edible = True # hyperparameter control (GAME) ## screen and objects SCREEN_SIZE = 400 FPS = 60 # how many frames we update per second. SIZE = 20 STEP = 20 INIT_POS_X = 20 * random.randint(0, 19) INIT_POS_Y = 20 * random.randint(0, 19) ## colors BLACK = (0, 0, 0) WHITE = (255, 255, 255) RED = (255, 0, 0) GREEN = (0, 255, 0) BLUE = (0, 0, 255) ## others START = True # hyperparameter control (Neural Network) ## TODO # pygame initialization successes, failures = pygame.init() print("{0} successes and {1} failures".format(successes, failures)) assert not failures, "pygame initialization error" # screen screen = pygame.display.set_mode((SCREEN_SIZE, SCREEN_SIZE)) pygame.display.set_caption('snake game') clock = pygame.time.Clock() # objects snake = Snake(INIT_POS_X, INIT_POS_Y) snakeRect = pygame.Rect((INIT_POS_X, INIT_POS_Y), (SIZE, SIZE)) snakeSurf = pygame.Surface((SIZE, SIZE)) snakeSurf.fill(GREEN) preySurf = pygame.Surface((SIZE, SIZE)) preySurf.fill(RED) # game operation while True: clock.tick(FPS) for event in pygame.event.get(): if event.type == pygame.QUIT: quit() elif event.type == pygame.KEYDOWN: if event.key == pygame.K_UP: snakeRect.move_ip(0, -STEP) # changes the snakeRect's position snake.update(delta_y=-STEP, prey_x=prey_x, prey_y=prey_y) snake.go = 1 snake.where() elif event.key == pygame.K_DOWN: snakeRect.move_ip(0, STEP) snake.update(delta_y=STEP, prey_x=prey_x, prey_y=prey_y) snake.go = -1 snake.where() elif event.key == pygame.K_LEFT: snakeRect.move_ip(-STEP, 0) snake.update(delta_x=-STEP, prey_x=prey_x, prey_y=prey_y) snake.go = -2 snake.where() elif event.key == pygame.K_RIGHT: snakeRect.move_ip(STEP, 0) snake.update(delta_x=STEP, prey_x=prey_x, prey_y=prey_y) snake.go = 2 snake.where() elif event.key == pygame.K_ESCAPE: quit() # game end rule if (not 0 <= snake.x <= (SCREEN_SIZE - SIZE)) or (not 0 <= snake.y <= (SCREEN_SIZE - SIZE)): print('out of boundary') quit() elif (snake.x, snake.y) in snake.space[1:] or (snake.length > 1 and snake.go + snake.gone == 0): print('it\'s you!') quit() elif snake.length == 400: print('you win!') quit() # prey if START == True or (prey_x, prey_y) == (snake.x, snake.y): prey_x = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) prey_y = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) while (prey_x, prey_y) in snake.space: prey_x = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) prey_y = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) preyRect = pygame.Rect((prey_x, prey_y), (SIZE, SIZE)) if START: START = False elif not START: snake.eat() # update direction of snake snake.gone = snake.go screen.fill(BLACK) screen.blit(snakeSurf, snakeRect) snake.move() for surf, rect in zip(snake.surf, snake.rect): screen.blit(surf, rect) screen.blit(preySurf, preyRect) ======= ''' Game Description valid coordinate : ([0, 380], [0, 380]) pygame 좌표가 x축 방향은 똑같은데 y축 방향이 반대에 주의! ''' import pygame from pygame.locals import * import random, time class Snake(): def __init__(self, x, y): self.x = x # head self.y = y # head self.length = 1 self.go = 100 self.gone = 100 self.edible = False self.space = [(self.x, self.y)] # queue self.rect = [] self.surf = [] self.gene = [] # FIXME self.wall = None self.prey = None def update(self, delta_x=None, delta_y=None, prey_x=None, prey_y=None): if delta_x is not None: self.x += delta_x if delta_y is not None: self.y += delta_y self.space.insert(0, (self.x, self.y)) if not self.edible: self.space.pop() elif self.edible: self.edible = False self.wall = ((self.x - 0) / STEP, (self.x - SCREEN_SIZE + SIZE) / STEP, (self.y - 0) / STEP, (self.y - SCREEN_SIZE + SIZE) / STEP) self.prey = ((prey_x - self.x) / STEP, (prey_y - self.y) / STEP) def where(self): print(self.length, self.space, self.wall) def move(self): self.rect = [] self.surf = [] for idx, sp in enumerate(self.space): self.rect.append(pygame.Rect((sp[0], sp[1]), (SIZE, SIZE))) self.surf.append(pygame.Surface((SIZE, SIZE))) if idx == 0: self.surf[idx].fill(GREEN) elif idx == len(self.space) - 1: self.surf[idx].fill(BLUE) else: self.surf[idx].fill(WHITE) def eat(self): self.length += 1 self.edible = True # hyperparameter control (GAME) ## screen and objects SCREEN_SIZE = 400 FPS = 60 # how many frames we update per second. SIZE = 20 STEP = 20 INIT_POS_X = 20 * random.randint(0, 19) INIT_POS_Y = 20 * random.randint(0, 19) ## colors BLACK = (0, 0, 0) WHITE = (255, 255, 255) RED = (255, 0, 0) GREEN = (0, 255, 0) BLUE = (0, 0, 255) ## others START = True # hyperparameter control (Neural Network) ## TODO # pygame initialization successes, failures = pygame.init() print("{0} successes and {1} failures".format(successes, failures)) assert not failures, "pygame initialization error" # screen screen = pygame.display.set_mode((SCREEN_SIZE, SCREEN_SIZE)) pygame.display.set_caption('snake game') clock = pygame.time.Clock() # objects snake = Snake(INIT_POS_X, INIT_POS_Y) snakeRect = pygame.Rect((INIT_POS_X, INIT_POS_Y), (SIZE, SIZE)) snakeSurf = pygame.Surface((SIZE, SIZE)) snakeSurf.fill(GREEN) preySurf = pygame.Surface((SIZE, SIZE)) preySurf.fill(RED) # game operation while True: clock.tick(FPS) for event in pygame.event.get(): if event.type == pygame.QUIT: quit() elif event.type == pygame.KEYDOWN: if event.key == pygame.K_UP: snakeRect.move_ip(0, -STEP) # changes the snakeRect's position snake.update(delta_y=-STEP, prey_x=prey_x, prey_y=prey_y) snake.go = 1 snake.where() elif event.key == pygame.K_DOWN: snakeRect.move_ip(0, STEP) snake.update(delta_y=STEP, prey_x=prey_x, prey_y=prey_y) snake.go = -1 snake.where() elif event.key == pygame.K_LEFT: snakeRect.move_ip(-STEP, 0) snake.update(delta_x=-STEP, prey_x=prey_x, prey_y=prey_y) snake.go = -2 snake.where() elif event.key == pygame.K_RIGHT: snakeRect.move_ip(STEP, 0) snake.update(delta_x=STEP, prey_x=prey_x, prey_y=prey_y) snake.go = 2 snake.where() elif event.key == pygame.K_ESCAPE: quit() # game end rule if (not 0 <= snake.x <= (SCREEN_SIZE - SIZE)) or (not 0 <= snake.y <= (SCREEN_SIZE - SIZE)): print('out of boundary') quit() elif (snake.x, snake.y) in snake.space[1:] or (snake.length > 1 and snake.go + snake.gone == 0): print('it\'s you!') quit() elif snake.length == 400: print('you win!') quit() # prey if START == True or (prey_x, prey_y) == (snake.x, snake.y): prey_x = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) prey_y = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) while (prey_x, prey_y) in snake.space: prey_x = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) prey_y = SIZE * random.randint(0, int((SCREEN_SIZE - SIZE) / STEP)) preyRect = pygame.Rect((prey_x, prey_y), (SIZE, SIZE)) if START: START = False elif not START: snake.eat() # update direction of snake snake.gone = snake.go screen.fill(BLACK) screen.blit(snakeSurf, snakeRect) snake.move() for surf, rect in zip(snake.surf, snake.rect): screen.blit(surf, rect) screen.blit(preySurf, preyRect) >>>>>>> ff35870c235c677bd6e367cfedf2974cac4a6e8a pygame.display.update()

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096ca815f3ba365f32e9b9f794d729151f466436

13,337

py

Python

utils/cloud/cloud_client/api/packages_api.py

alexfdo/asr_eval

d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3

[ "MIT" ]

3

2020-03-06T17:20:34.000Z

2021-09-09T09:18:48.000Z

utils/cloud/cloud_client/api/packages_api.py

alexfdo/asr_eval

d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3

[ "MIT" ]

1

2020-02-03T18:25:08.000Z

utils/cloud/cloud_client/api/packages_api.py

alexfdo/asr_eval

d1573cc3113ce9df1ae64c3b91b5f495e2cff9a3

[ "MIT" ]

1

2020-01-29T19:47:54.000Z

# coding: utf-8 """ ASR documentation No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 1.1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from cloud_client.cloud_api_client import CloudApiClient class PackagesApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = CloudApiClient() self.api_client = api_client def get_available_packages(self, x_session_id, **kwargs): # noqa: E501 """Get all available packages # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_available_packages(x_session_id, async=True) >>> result = thread.get() :param async bool :param str x_session_id: Session identifier (required) :return: list[PackageDto] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_available_packages_with_http_info(x_session_id, **kwargs) # noqa: E501 else: (data) = self.get_available_packages_with_http_info(x_session_id, **kwargs) # noqa: E501 return data def get_available_packages_with_http_info(self, x_session_id, **kwargs): # noqa: E501 """Get all available packages # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_available_packages_with_http_info(x_session_id, async=True) >>> result = thread.get() :param async bool :param str x_session_id: Session identifier (required) :return: list[PackageDto] If the method is called asynchronously, returns the request thread. """ all_params = ['x_session_id'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_available_packages" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'x_session_id' is set if ('x_session_id' not in params or params['x_session_id'] is None): raise ValueError("Missing the required parameter `x_session_id` when calling `get_available_packages`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} if 'x_session_id' in params: header_params['X-Session-ID'] = params['x_session_id'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json;charset=UTF-8']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json;charset=UTF-8']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/vkasr/rest/v1/packages/available', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[PackageDto]', # noqa: E501 auth_settings=auth_settings, async_=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def load(self, x_session_id, package_id, **kwargs): # noqa: E501 """Load package # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.load(x_session_id, package_id, async=True) >>> result = thread.get() :param async bool :param str x_session_id: Session identifier (required) :param str package_id: Package name (required) :return: StatusDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.load_with_http_info(x_session_id, package_id, **kwargs) # noqa: E501 else: (data) = self.load_with_http_info(x_session_id, package_id, **kwargs) # noqa: E501 return data def load_with_http_info(self, x_session_id, package_id, **kwargs): # noqa: E501 """Load package # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.load_with_http_info(x_session_id, package_id, async=True) >>> result = thread.get() :param async bool :param str x_session_id: Session identifier (required) :param str package_id: Package name (required) :return: StatusDto If the method is called asynchronously, returns the request thread. """ all_params = ['x_session_id', 'package_id'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method load" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'x_session_id' is set if ('x_session_id' not in params or params['x_session_id'] is None): raise ValueError("Missing the required parameter `x_session_id` when calling `load`") # noqa: E501 # verify the required parameter 'package_id' is set if ('package_id' not in params or params['package_id'] is None): raise ValueError("Missing the required parameter `package_id` when calling `load`") # noqa: E501 collection_formats = {} path_params = {} if 'package_id' in params: path_params['packageId'] = params['package_id'] # noqa: E501 query_params = [] header_params = {} if 'x_session_id' in params: header_params['X-Session-ID'] = params['x_session_id'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json;charset=UTF-8']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json;charset=UTF-8']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/vkasr/rest/v1/packages/{packageId}/load', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='StatusDto', # noqa: E501 auth_settings=auth_settings, async_=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def unload(self, x_session_id, package_id, **kwargs): # noqa: E501 """Unload package # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.unload(x_session_id, package_id, async=True) >>> result = thread.get() :param async bool :param str x_session_id: Session identifier (required) :param str package_id: Package name (required) :return: StatusDto If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.unload_with_http_info(x_session_id, package_id, **kwargs) # noqa: E501 else: (data) = self.unload_with_http_info(x_session_id, package_id, **kwargs) # noqa: E501 return data def unload_with_http_info(self, x_session_id, package_id, **kwargs): # noqa: E501 """Unload package # noqa: E501 # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.unload_with_http_info(x_session_id, package_id, async=True) >>> result = thread.get() :param async bool :param str x_session_id: Session identifier (required) :param str package_id: Package name (required) :return: StatusDto If the method is called asynchronously, returns the request thread. """ all_params = ['x_session_id', 'package_id'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method unload" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'x_session_id' is set if ('x_session_id' not in params or params['x_session_id'] is None): raise ValueError("Missing the required parameter `x_session_id` when calling `unload`") # noqa: E501 # verify the required parameter 'package_id' is set if ('package_id' not in params or params['package_id'] is None): raise ValueError("Missing the required parameter `package_id` when calling `unload`") # noqa: E501 collection_formats = {} path_params = {} if 'package_id' in params: path_params['packageId'] = params['package_id'] # noqa: E501 query_params = [] header_params = {} if 'x_session_id' in params: header_params['X-Session-ID'] = params['x_session_id'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json;charset=UTF-8']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json;charset=UTF-8']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/vkasr/rest/v1/packages/{packageId}/unload', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='StatusDto', # noqa: E501 auth_settings=auth_settings, async_=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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8

097748848d694a8ecad028ff57b9e7498b1f917a

10,488

py

Python

tests/ocd_backend/items/ra_nijmegen.py

openstate/open-cultuur-data

57cad9d221594cc8dddb34124e19dfbbde73e129

[ "CC-BY-4.0" ]

13

2015-02-27T01:46:31.000Z

2021-12-27T18:08:31.000Z

tests/ocd_backend/items/ra_nijmegen.py

openstate/open-archaeology-data

c16b36f7ac90f90e6ffa5c839783b6ff34969a08

[ "CC-BY-4.0" ]

68

2015-01-05T15:15:30.000Z

2022-03-11T23:13:05.000Z

tests/ocd_backend/items/ra_nijmegen.py

openstate/open-cultuur-data

57cad9d221594cc8dddb34124e19dfbbde73e129

[ "CC-BY-4.0" ]

10

2015-01-09T14:01:07.000Z

2018-04-13T14:27:07.000Z

import json import os from ocd_backend.items.ra_nijmegen import ( NijmegenGrintenItem, NijmegenDoornroosjeItem, NijmegenVierdaagseItem) from . import ItemTestCase class NijmegenGrintenItemTestCase(ItemTestCase): def setUp(self): super(NijmegenGrintenItemTestCase, self).setUp() self.PWD = os.path.dirname(__file__) self.source_definition = { 'id': 'test_definition', 'extractor': ( 'ocd_backend.extractors.staticfile.' 'StaticJSONExtractor' ), 'transformer': 'ocd_backend.transformers.BaseTransformer', 'item': 'ocd_backend.items.gemeente_ede.NijmegenGrintenItem', 'loader': 'ocd_backend.loaders.ElasticsearchLoader', 'file_url': '' } with open(os.path.abspath(os.path.join( self.PWD, ( '../test_dumps/ra_nijmegen_grinten_item.json'))), 'r') as f: self.raw_item = f.read() with open(os.path.abspath(os.path.join( self.PWD, ( '../test_dumps/ra_nijmegen_grinten_item.json'))), 'r') as f: self.item = json.load(f) self.collection = ( u'Regionaal Archief Nijmegen - Fotocollectie Prof. dr. E.F. ' u'van der Grinten') self.rights = u'https://creativecommons.org/licenses/by-sa/4.0/' self.original_object_id = u'F26235' self.original_object_urls = { u'html': ( u'http://studiezaal.nijmegen.nl/ran/_detail.aspx?xmldescid=' u'2113744396')} self.media_urls = [{ 'original_url': ( u'http://www.nijmegen.nl/opendata/archief/vandergrinten/' u'F26235.jpg'), 'content_type': 'image/jpeg'}] def _instantiate_item(self): return NijmegenGrintenItem( self.source_definition, 'application/json', self.raw_item, self.item) def test_item_collection(self): item = self._instantiate_item() self.assertEqual(item.get_collection(), self.collection) def test_get_rights(self): item = self._instantiate_item() self.assertEqual(item.get_rights(), self.rights) def test_get_original_object_id(self): item = self._instantiate_item() self.assertEqual( item.get_original_object_id(), self.original_object_id) def test_get_original_object_urls(self): item = self._instantiate_item() self.assertDictEqual( item.get_original_object_urls(), self.original_object_urls) def test_get_combined_index_data(self): item = self._instantiate_item() self.assertIsInstance(item.get_combined_index_data(), dict) def test_get_index_data(self): item = self._instantiate_item() self.assertIsInstance(item.get_index_data(), dict) def test_get_all_text(self): item = self._instantiate_item() self.assertEqual(type(item.get_all_text()), unicode) self.assertTrue(len(item.get_all_text()) > 0) def test_media_urls(self): item = self._instantiate_item() data = item.get_combined_index_data() self.assertEqual(data['media_urls'], self.media_urls) def test_combined_index_data_types(self): item = self._instantiate_item() data = item.get_combined_index_data() for field, field_type in item.combined_index_fields.iteritems(): self.assertIn(field, data) if data[field] is not None: self.assertIsInstance(data[field], field_type) class NijmegenDoornroosjeItemTestCase(ItemTestCase): def setUp(self): super(NijmegenDoornroosjeItemTestCase, self).setUp() self.PWD = os.path.dirname(__file__) self.source_definition = { 'id': 'test_definition', 'extractor': ( 'ocd_backend.extractors.staticfile.' 'StaticJSONExtractor' ), 'transformer': 'ocd_backend.transformers.BaseTransformer', 'item': 'ocd_backend.items.gemeente_ede.NijmegenDoornroosjeItem', 'loader': 'ocd_backend.loaders.ElasticsearchLoader', 'file_url': '' } with open(os.path.abspath(os.path.join( self.PWD, ( '../test_dumps/ra_nijmegen_doornroosje_item.json'))), 'r') as f: self.raw_item = f.read() with open(os.path.abspath(os.path.join( self.PWD, ( '../test_dumps/ra_nijmegen_doornroosje_item.json'))), 'r') as f: self.item = json.load(f) self.collection = ( u'Regionaal Archief Nijmegen - Affichecollectie Doornroosje') self.rights = u'https://creativecommons.org/licenses/by-sa/3.0/' self.original_object_id = u'AF1000.1000' self.original_object_urls = { u'html': ( u'http://studiezaal.nijmegen.nl/ran/_detail.aspx?xmldescid=' u'2010305578')} self.media_urls = [{ 'original_url': ( u'http://www.nijmegen.nl/opendata/archief/AF1000.1000.JPG'), 'content_type': 'image/jpeg'}] def _instantiate_item(self): return NijmegenDoornroosjeItem( self.source_definition, 'application/json', self.raw_item, self.item) def test_item_collection(self): item = self._instantiate_item() self.assertEqual(item.get_collection(), self.collection) def test_get_rights(self): item = self._instantiate_item() self.assertEqual(item.get_rights(), self.rights) def test_get_original_object_id(self): item = self._instantiate_item() self.assertEqual( item.get_original_object_id(), self.original_object_id) def test_get_original_object_urls(self): item = self._instantiate_item() self.assertDictEqual( item.get_original_object_urls(), self.original_object_urls) def test_get_combined_index_data(self): item = self._instantiate_item() self.assertIsInstance(item.get_combined_index_data(), dict) def test_get_index_data(self): item = self._instantiate_item() self.assertIsInstance(item.get_index_data(), dict) def test_get_all_text(self): item = self._instantiate_item() self.assertEqual(type(item.get_all_text()), unicode) self.assertTrue(len(item.get_all_text()) > 0) def test_media_urls(self): item = self._instantiate_item() data = item.get_combined_index_data() self.assertEqual(data['media_urls'], self.media_urls) def test_combined_index_data_types(self): item = self._instantiate_item() data = item.get_combined_index_data() for field, field_type in item.combined_index_fields.iteritems(): self.assertIn(field, data) if data[field] is not None: self.assertIsInstance(data[field], field_type) class NijmegenVierdaagseItemTestCase(ItemTestCase): def setUp(self): super(NijmegenVierdaagseItemTestCase, self).setUp() self.PWD = os.path.dirname(__file__) self.source_definition = { 'id': 'test_definition', 'extractor': ( 'ocd_backend.extractors.staticfile.' 'StaticJSONExtractor' ), 'transformer': 'ocd_backend.transformers.BaseTransformer', 'item': 'ocd_backend.items.gemeente_ede.NijmegenVierdaagseItem', 'loader': 'ocd_backend.loaders.ElasticsearchLoader', 'file_url': '' } with open(os.path.abspath(os.path.join( self.PWD, ( '../test_dumps/ra_nijmegen_vierdaagse_item.json'))), 'r') as f: self.raw_item = f.read() with open(os.path.abspath(os.path.join( self.PWD, ( '../test_dumps/ra_nijmegen_vierdaagse_item.json'))), 'r') as f: self.item = json.load(f) self.collection = ( u'Fotocollectie Regionaal Archief Nijmegen - Vierdaagsefeesten' u' / Zomerfeesten') self.rights = u'https://creativecommons.org/licenses/by-sa/3.0/' self.original_object_id = u'F20706' self.original_object_urls = { u'html': ( u'http://studiezaal.nijmegen.nl/ran/_detail.aspx?xmldescid=' u'277219')} self.media_urls = [{ 'original_url': ( u'http://www.nijmegen.nl/opendata/archief/F20706.jpg'), 'content_type': 'image/jpeg'}] def _instantiate_item(self): return NijmegenVierdaagseItem( self.source_definition, 'application/json', self.raw_item, self.item) def test_item_collection(self): item = self._instantiate_item() self.assertEqual(item.get_collection(), self.collection) def test_get_rights(self): item = self._instantiate_item() self.assertEqual(item.get_rights(), self.rights) def test_get_original_object_id(self): item = self._instantiate_item() self.assertEqual( item.get_original_object_id(), self.original_object_id) def test_get_original_object_urls(self): item = self._instantiate_item() self.assertDictEqual( item.get_original_object_urls(), self.original_object_urls) def test_get_combined_index_data(self): item = self._instantiate_item() self.assertIsInstance(item.get_combined_index_data(), dict) def test_get_index_data(self): item = self._instantiate_item() self.assertIsInstance(item.get_index_data(), dict) def test_get_all_text(self): item = self._instantiate_item() self.assertEqual(type(item.get_all_text()), unicode) self.assertTrue(len(item.get_all_text()) > 0) def test_media_urls(self): item = self._instantiate_item() data = item.get_combined_index_data() self.assertEqual(data['media_urls'], self.media_urls) def test_combined_index_data_types(self): item = self._instantiate_item() data = item.get_combined_index_data() for field, field_type in item.combined_index_fields.iteritems(): self.assertIn(field, data) if data[field] is not None: self.assertIsInstance(data[field], field_type)

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5.349699

0.115418

0.069554

0.052166

0.099984

0.893415

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0.875865

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0

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0.263444

10,488

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37.726619

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0

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0

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0

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null

0

1

0

1

0

null

0

7

09881cdd9093da7b0af71f2e7298a1f4174943ef

13,157

py

Python

SLIT/mk_SLIT_plot.py

aymgal/SLIT

cd41433a3302e3090617c15016bb6552f27804d7

[ "MIT" ]

null

SLIT/mk_SLIT_plot.py

aymgal/SLIT

cd41433a3302e3090617c15016bb6552f27804d7

[ "MIT" ]

null

SLIT/mk_SLIT_plot.py

aymgal/SLIT

cd41433a3302e3090617c15016bb6552f27804d7

[ "MIT" ]

null

import matplotlib.cm as cm import matplotlib.pyplot as plt import numpy as np from SLIT import Lens import scipy.signal as scp import scipy.misc as misc def plot_critical(kappa, Fkappa, n1,n2, size, extra= 1): det = 1./Lens.Jacobian_det(kappa, n1,n2)[extra/2:-extra/2., extra/2:-extra/2.] kernel = np.array([[1,0],[0,-1]]) kernelT = np.array([[0,1],[-1,0]]) diff = np.abs(-det+np.abs(det)) diff[diff!=0]=1 xderiv = scp.convolve2d(diff, kernel, mode='same') yderiv = scp.convolve2d(diff, kernelT, mode='same') x,y = np.where(np.abs(xderiv)+np.abs(yderiv)>0) #newx,newy = mk_curve(x,y) critical = np.zeros((n1,n2)) critical[x,y] = 1 Splane = Lens.image_to_source(critical, Fkappa, 0) xs,ys = np.where(Splane !=0) #newxs,newys = mk_curve(xs,ys) factor = np.float(size) return x/factor,y/factor, xs, ys def mk_curve(x,y): newx, newy = np.zeros(np.size(x)+1), np.zeros(np.size(y)+1) newx[0], newy[0] = x[0], y[0] newx[-1], newy[-1] = x[0], y[0] x[0],y[0] = -999,-999 for i in range(x.size-1): r = (newx[i]-x)**2+(newy[i]-y)**2 if np.size(np.where(r == np.min(r)))>1: newx[i + 1], newy[i + 1] = int(x[(r == np.min(r)) * (r != 0)][0]), int(y[(r == np.min(r)) * (r != 0)][0]) else: newx[i+1], newy[i+1] = int(x[(r == np.min(r))*(r!=0)]), int(y[(r == np.min(r))*(r!=0)]) x[(newx[i+1]-x)**2+(newy[i+1]-y)**2==0], y[(newx[i+1]-x)**2+(newy[i+1]-y)**2==0] =-999,-999 return (newy.astype(int)), (newx.astype(int)) def Plot_SLIT_Results(Y,S,FS, TrueS, TrueFS, sigma, TitleFont = 40, ColorbarFont = 25, x=[0], y=[0], xs = [0], ys = [0], delta_pix = 0): ns1,ns2 = S.shape n1,n2 = Y.shape size = ns1 / np.float(n1) if delta_pix > 0: L = 1. / delta_pix # Length of 1 arceseconds in pixels Ls = L * size XXarc = [n1 / 10, n1 / 10 + L] XYarc = [n2 / 10, n2 / 10] YYarc = [n2 / 10, n2 / 10 + L] YXarc = [n1 / 10, n1 / 10] XXarcs = [ns1 / 10, ns1 / 10 + Ls] XYarcs = [ns2 / 10, ns2 / 10] YYarcs = [ns2 / 10, ns2 / 10 + Ls] YXarcs = [ns1 / 10, ns1 / 10] plt.figure(0) plt.title('$\~{S}$', fontsize=TitleFont) plt.imshow((S), vmin=np.min(TrueS), vmax=np.max(TrueS), cmap=cm.gist_stern, interpolation='nearest') plt.plot(ys, xs, 'w.', ms=2) if delta_pix >0: plt.plot(XXarc, XYarc, 'w', linewidth = 10 ) plt.plot(YXarc, YYarc, 'w', linewidth = 10 ) plt.text(n1/5+10, n2/5+10, '$1\"$', color = 'white', fontsize = 25 ) plt.axis('off') plt.xlim(xmax = ns1) plt.ylim(ymax = ns2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(1) plt.title('$S$', fontsize=TitleFont) plt.imshow(TrueS, cmap=cm.gist_stern, interpolation='nearest') plt.plot(ys, xs, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = ns1) plt.ylim(ymax = ns2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(2) plt.title('$|S-\~S|$', fontsize=TitleFont) diff = (TrueS - S) plt.imshow((np.abs(diff)), cmap=cm.gist_stern, interpolation='nearest') plt.plot(ys, xs, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = ns1) plt.ylim(ymax = ns2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) ####Lensed source plt.figure(3) plt.title('$HFS$', fontsize=TitleFont) plt.imshow(TrueFS, cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = n1) plt.ylim(ymax = n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(4) plt.title('$HF\~S$', fontsize=TitleFont) plt.imshow((FS), vmin=np.min(TrueFS), vmax=np.max(TrueFS), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = n1) plt.ylim(ymax = n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(5) plt.title('$|HFS-HF\~S|$', fontsize=TitleFont) plt.imshow((TrueFS - FS), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = n1) plt.ylim(ymax = n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) ###Image plt.figure(8) plt.title('$Y$', fontsize=TitleFont) plt.imshow(Y, cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = n1) plt.ylim(ymax = n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(10) plt.title('$|Y-HF\~S|$', fontsize=TitleFont) plt.imshow(Y - FS, cmap=cm.gist_stern, interpolation='nearest', vmin=-5 * sigma, vmax=5 * sigma) # slit.fft_convolve(Im,PSF) plt.plot(y, x, 'w.', ms=2) plt.axis('off') plt.xlim(xmax = n1) plt.ylim(ymax = n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.show() return 0 def Plot_MCA_Results(Y,S,FS,G,FG, TrueS, TrueG, TrueFS, sigma, TitleFont = 40, ColorbarFont = 25, x=[0], y=[0], xs = [0], ys = [0], delta_pix = 0): ns1,ns2 = S.shape n1,n2 = G.shape size = ns1/np.float(n1) if delta_pix > 0: L = 1. / delta_pix # Length of 1 arceseconds in pixels Ls = L*size XXarc = [n1 / 10, n1 / 10 + L] XYarc = [n2 / 10, n2 / 10] YYarc = [n2 / 10, n2 / 10 + L] YXarc = [n1 / 10, n1 / 10] XXarcs = [ns1 / 10, ns1 / 10 + Ls] XYarcs = [ns2 / 10, ns2 / 10] YYarcs = [ns2 / 10, ns2 / 10 + Ls] YXarcs = [ns1 / 10, ns1 / 10] plt.figure(0) plt.title('$\~{S}$', fontsize=TitleFont) plt.imshow((S), vmin=np.min(TrueS), vmax=np.max(TrueS), cmap=cm.gist_stern, interpolation='nearest') plt.plot(ys,xs,'w.', ms = 2) plt.axis('off') plt.xlim(xmax=ns1) plt.ylim(ymax=ns2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarcs, XYarcs, 'w', linewidth=3) plt.plot(YXarcs, YYarcs, 'w', linewidth=3) plt.text(ns1 / 10 + 5, ns2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(1) plt.title('$S$', fontsize=TitleFont) plt.imshow(TrueS, cmap=cm.gist_stern, interpolation='nearest') plt.plot(ys, xs, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=ns1) plt.ylim(ymax=ns2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarcs, XYarcs, 'w', linewidth=3) plt.plot(YXarcs, YYarcs, 'w', linewidth=3) plt.text(ns1 / 10 + 5, ns2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(2) plt.title('$S-\~S$', fontsize=TitleFont) diff = (TrueS - S) plt.imshow(diff, cmap=cm.gist_stern, interpolation='nearest') plt.plot(ys, xs, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=ns1) plt.ylim(ymax=ns2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarcs, XYarcs, 'w', linewidth=3) plt.plot(YXarcs, YYarcs, 'w', linewidth=3) plt.text(ns1 / 10 + 5, ns2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) ####Lensed source plt.figure(3) plt.title('$HFS$', fontsize=TitleFont) plt.imshow(TrueFS, cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(4) plt.title('$HF\~S$', fontsize=TitleFont) plt.imshow((FS), vmin=np.min(TrueFS), vmax=np.max(TrueFS), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(5) plt.title('$HFS-HF\~S$', fontsize=TitleFont) plt.imshow((TrueFS - FS), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) ###Galaxy plt.figure(6) plt.title('$HG$', fontsize=TitleFont) plt.imshow((TrueG), vmin=np.min(TrueG), vmax=np.max(TrueG), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(12) plt.title('$H\~G$', fontsize=TitleFont) plt.imshow((G), vmin=np.min(TrueG), vmax=np.max(TrueG), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(7) plt.title('$HG-H\~G$', fontsize=TitleFont) plt.imshow((TrueG - G), cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) ###Image plt.figure(8) plt.title('$Y$', fontsize=TitleFont) plt.imshow(Y, cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(9) plt.title('$H\~G+HF\~S$', fontsize=TitleFont) plt.imshow(FS + FG, cmap=cm.gist_stern, interpolation='nearest') plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.figure(10) plt.title('$Y-H\~G-HF\~S$', fontsize=TitleFont) plt.imshow(Y - FS - FG, cmap=cm.gist_stern, interpolation='nearest', vmin=-5 * sigma, vmax=5 * sigma) # slit.fft_convolve(Im,PSF) plt.plot(y, x, 'w.', ms = 2) plt.axis('off') plt.xlim(xmax=n1) plt.ylim(ymax=n2) plt.xlim(xmin=0) plt.ylim(ymin=0) if delta_pix > 0: plt.plot(XXarc, XYarc, 'w', linewidth=3) plt.plot(YXarc, YYarc, 'w', linewidth=3) plt.text(n1 / 10 + 5, n2 / 10 + 10, '1 "', color='white', fontsize=25) cbar = plt.colorbar() cbar.ax.tick_params(labelsize=ColorbarFont) plt.show() return 0

35.179144

147

0.570951

2,061

13,157

3.609898

0.074721

0.04328

0.035484

0.045161

0.885484

0.879301

0.864919

0.864785

0.850941

0.847312

0

0.053125

0.23744

13,157

374

148

35.179144

0.688428

0.016417

0

0.81686

0

0.040715

0

1

0.011628

false

0

0.017442

0

0.040698

0

null

0

1

0

1

0

null

0

7

09d5db0a99a3d24e0b1288336523d4c3ad21b405

2,103

py

Python

WriteToCSV.py

Michal3456/ermlab3

4b4f1e6775467c05875580fef4df336773b23209

[ "MIT" ]

null

WriteToCSV.py

Michal3456/ermlab3

4b4f1e6775467c05875580fef4df336773b23209

[ "MIT" ]

null

WriteToCSV.py

Michal3456/ermlab3

4b4f1e6775467c05875580fef4df336773b23209

[ "MIT" ]

null

# encoding: utf-8 # module WriteToCSV # from ./WriteToCSV.py # by written 2.00 # no doc # imports import csv import re # no Variables # class class WriteTiCSV: """ open_file_count_word() -> bool. """ # function @staticmethod def open_file_count_word(dict_words_quantity: dict) -> bool: # real signature unknown; loaded from data/ """ open_file_count_word() -> bool Parameters ----------- dict_words_quantity: Dictionary with words and number of the same words Returns ------- return: Bool """ try: csv.register_dialect('myDialect', quoting=csv.QUOTE_ALL, skipinitialspace=True) with open('words.csv', 'w') as f: writer = csv.writer(f, dialect='myDialect') for row in dict_words_quantity.items(): writer.writerow('d') except Exception as e: print("Error in write csv method: %e" % e) return False finally: f.close() return True @staticmethod def open_file_count_word(dict_words_quantity: [str]) -> bool: # real signature unknown; loaded from data/ """ open_file_count_word() -> bool Parameters ----------- dict_words_quantity: Dictionary with words and number of the same words Returns ------- return: Bool """ try: csv.register_dialect('myDialect', quoting=csv.QUOTE_ALL, skipinitialspace=True) with open('words.csv', 'w') as f: writer = csv.writer(f, dialect='myDialect') for row in dict_words_quantity: writer.writerow(row) except Exception as e: print("Error in write csv method: %e" % e) return False finally: f.close() return True

25.337349

110

0.503091

211

2,103

4.867299

0.36019

0.05258

0.099318

0.082765

0.836417

0.815969

0.720545

0

0.003175

0.400856

2,103

82

111

25.646341

0.811905

0.266286

0

0.742857

0

0.085629

0

1

0.057143

false

0

0.057143

0

0.257143

0.057143

0

null

0

1

0

1

0

null

0

7

fece586f7c879565e293bd688e97ebed878c9afc

137

py

Python

jack/beanstalk/shortcuts.py

andreisavu/django-jack

7a20eeebe3cb6535c0d3734124acf7171713fdc5

[ "Apache-2.0" ]

10

2015-04-13T10:09:08.000Z

2021-12-17T01:29:11.000Z

jack/beanstalk/shortcuts.py

andreisavu/django-jack

7a20eeebe3cb6535c0d3734124acf7171713fdc5

[ "Apache-2.0" ]

null

jack/beanstalk/shortcuts.py

andreisavu/django-jack

7a20eeebe3cb6535c0d3734124acf7171713fdc5

[ "Apache-2.0" ]

3

2016-02-12T01:48:38.000Z

2021-12-17T01:29:10.000Z

from django.shortcuts import render_to_response def render_unavailable(): return render_to_response('beanstalk/unavailable.html')

19.571429

59

0.817518

17

137

6.294118

0.705882

0.149533

0.299065

0

0.109489

137

6

60

22.833333

0.877049

0

0.192593

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

8

28df32a590f831dc58732e958794fa48e5c4ce05

11,754

py

Python

tests/unit/test_word2vec.py

juliob29/BitcoinTalk-Insights

73033791698c67bb1f6268dc0b762832f0e097dd

[ "MIT" ]

null

tests/unit/test_word2vec.py

juliob29/BitcoinTalk-Insights

73033791698c67bb1f6268dc0b762832f0e097dd

[ "MIT" ]

13

2020-01-28T22:29:05.000Z

2022-02-09T23:52:43.000Z

tests/unit/test_word2vec.py

juliob29/BitcoinTalk-Insights

73033791698c67bb1f6268dc0b762832f0e097dd

[ "MIT" ]

null

""" Unit tests for the Word2Vec class. """ import os import gensim import unittest import psycopg2 from isoweek import Week from pathlib import Path from skill.skill import Crypto from skill.word2vec import Model from skill.storage import Storage from skill.bitcointalk import BitcoinTalk class Word2VecTestCase(unittest.TestCase): """ Test case for the Model() class. """ @classmethod def setUpClass(self): sql = """ INSERT INTO "public"."message"("sid","topic","topic_position","member","post_time","subject","link","content","content_no_html","content_no_quote","content_no_quote_no_html","db_update_time") VALUES (1000000000,34,1,28,E'2010-02-01 02:17:02',E'Questions about Addresses',E'https://bitcointalk.org/index.php?topic=34.msg185#msg185',E'\\x3129205768617420776f756c642068617070656e206966206f6e6520617474656d70747320746f2073656e6420616e20616d6f756e74206f6620636f696e7320746f20616e204950206164647265737320746861742069736e27742072756e6e696e67207468652070726f6772616d3f3c62723e3229205768617420776f756c642068617070656e206966206f6e6520617474656d70747320746f2073656e6420616e20616d6f756e74206f6620636f696e7320746f206120696e76616c696420426974636f696e20416464726573733f3c62723e3329205768617420776f756c642068617070656e206966206f6e6520617474656d70747320746f2073656e6420616e20616d6f756e74206f6620636f696e7320746f206120426974636f696e20416464726573732074686174206e6f626f6479206f776e733f3c62723e3429205768617420776f756c642068617070656e206966206f6e6520617474656d70747320746f2073656e6420616e20616d6f756e74206f6620636f696e7320746f206120426974636f696e20416464726573732074686174207573656420746f206265206f776e65642c20627574206861732073696e6365206265656e206162616e646f6e65642028726563697069656e742073746f707065642072756e6e696e67207468652070726f6772616d2c206f722064656c657465642074686569722077616c6c6574293f3c62723e3c62723e49207468616e6b20616e7377657265727320666f7220657870616e64696e67206d79206b6e6f776c656467652e',E'1) What would happen if one attempts to send an amount of coins to an IP address that isn t running the program?2) What would happen if one attempts to send an amount of coins to a invalid Bitcoin Address?3) What would happen if one attempts to send an amount of coins to a Bitcoin Address that nobody owns?4) What would happen if one attempts to send an amount of coins to a Bitcoin Address that used to be owned, but has since been abandoned (recipient stopped running the program, or deleted their wallet)?I thank answerers for expanding my knowledge.',E'\\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',E'1) What would happen if one attempts to send an amount of coins to an IP address that isn t running the program?2) What would happen if one attempts to send an amount of coins to a invalid Bitcoin Address?3) What would happen if one attempts to send an amount of coins to a Bitcoin Address that nobody owns?4) What would happen if one attempts to send an amount of coins to a Bitcoin Address that used to be owned, but has since been abandoned (recipient stopped running the program, or deleted their wallet)?I thank answerers for expanding my knowledge.',NULL), (1000000001,34,2,4,E'2010-02-01 10:44:43',E'Re: Questions about Addresses',E'https://bitcointalk.org/index.php?topic=34.msg187#msg187',E'\\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',E'Quote from: Sabunir on February 01, 2010, 02:17:02 AM1) What would happen if one attempts to send an amount of coins to an IP address that isn t running the program?2) What would happen if one attempts to send an amount of coins to a invalid Bitcoin Address?Not possible, the software doesn t allow that.Quote3) What would happen if one attempts to send an amount of coins to a Bitcoin Address that nobody owns?4) What would happen if one attempts to send an amount of coins to a Bitcoin Address that used to be owned, but has since been abandoned (recipient stopped running the program, or deleted their wallet)?I guess the money will just be lost in that case.',E'\\x3c62723e4e6f7420706f737369626c652c2074686520736f66747761726520646f65736e277420616c6c6f7720746861742e3c62723e3c62723e3c62723e4920677565737320746865206d6f6e65792077696c6c206a757374206265206c6f737420696e207468617420636173652e',E'Not possible, the software doesn t allow that.I guess the money will just be lost in that case.',NULL), (1000000002,34,3,30,E'2010-02-01 23:10:07',E'Re: Questions about Addresses',E'https://bitcointalk.org/index.php?topic=34.msg196#msg196',E'\\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',E'What happens to Bitcoins sent to an IP address where the sub-net computers are each running Bitcoin software ? Do they all receive an equal share of Bitcoins ? lol ',E'\\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',E'What happens to Bitcoins sent to an IP address where the sub-net computers are each running Bitcoin software ? Do they all receive an equal share of Bitcoins ? lol ',NULL), (1000000003,34,4,26,E'2010-02-01 23:41:24',E'Re: Questions about Addresses',E'https://bitcointalk.org/index.php?topic=34.msg197#msg197',E'\\x496620492072656d656d62657220636f72726563746c792049207468696e6b20492077617320746f6c642074686174207468657920776f756c642062652073656e7420746f2074686520666972737420626974636f696e206170706c69636174696f6e20776974682077686f6d207468652073656e64657220636f6e6e656374732e',E'If I remember correctly I think I was told that they would be sent to the first bitcoin application with whom the sender connects.',E'\\x496620492072656d656d62657220636f72726563746c792049207468696e6b20492077617320746f6c642074686174207468657920776f756c642062652073656e7420746f2074686520666972737420626974636f696e206170706c69636174696f6e20776974682077686f6d207468652073656e64657220636f6e6e656374732e',E'If I remember correctly I think I was told that they would be sent to the first bitcoin application with whom the sender connects.',NULL) """ with Storage(os.getenv('POSTGRES_URI')) as S: try: S.execute(sql) except psycopg2.IntegrityError: S.execute(""" DELETE FROM message WHERE sid IN (1000000000, 1000000001, 1000000002, 1000000003) """) @classmethod def tearDownClass(self): with Storage(os.getenv('POSTGRES_URI')) as S: S.execute(""" DELETE FROM message WHERE sid IN (1000000000, 1000000001, 1000000002, 1000000003) """) def test_corpus_create(self): """ Model()._corpus_create() can create a properly cleaned corpus from an input from the BitcoinTalk() class. """ unclean = BitcoinTalk().all() results = Model()._corpus_create(unclean) for result in results: assert type(result) == list assert len(result) >= 3 def test_training_pipeline(self): """ Model().train is able to train a model and place it in the proper directory. """ # # The original Word2Vec requires that words # appear at least 5 times by default. Here # we pass the argument min_count=1 because # our test test does not contain words that # repeat 5 times. # path = os.getenv('MODELS_PATH') trained = Model().train( directory=path, data_last_week=False, epochs=1, min_count=1) last_week = str(Week.thisweek() - 1) my_trained_file = Path(f'{path}/{last_week}.model') assert my_trained_file.is_file() assert type(trained) == gensim.models.word2vec.Word2Vec

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e90141a0ecf7af89f8bdd4046f70b52f3a1c59b1

331

py

Python

solardatatools/__init__.py

tadatoshi/solar-data-tools

51b3e1ac2d1daefef88b8f110c42db42da3ba952

[ "BSD-2-Clause" ]

null

solardatatools/__init__.py

tadatoshi/solar-data-tools

51b3e1ac2d1daefef88b8f110c42db42da3ba952

[ "BSD-2-Clause" ]

null

solardatatools/__init__.py

tadatoshi/solar-data-tools

51b3e1ac2d1daefef88b8f110c42db42da3ba952

[ "BSD-2-Clause" ]

null

from solardatatools.data_transforms import standardize_time_axis from solardatatools.data_transforms import make_2d from solardatatools.data_transforms import fix_time_shifts from solardatatools.clear_day_detection import find_clear_days from solardatatools.dataio import get_pvdaq_data from solardatatools.plotting import plot_2d

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3aa99d611090a847ab67f1c2b086e2ebc3283e58

367

py

Python

pycessing/pycessing.py

kitao/pycessing

ab59dfbef7f52712e894f5b4d869c27f68bf3685

[ "MIT" ]

null

pycessing/pycessing.py

kitao/pycessing

ab59dfbef7f52712e894f5b4d869c27f68bf3685

[ "MIT" ]

null

pycessing/pycessing.py

kitao/pycessing

ab59dfbef7f52712e894f5b4d869c27f68bf3685

[ "MIT" ]

null

from sketch_runner import load_library # NOQA from sketch_runner import load_all_jars # NOQA from sketch_runner import load_jar # NOQA from sketch_runner import complete_path # NOQA from sketch_runner import reload_sketch # NOQA from sketch_runner import run_app # NOQA from app import App # NOQA # from sketch_info import filename, dirname, basename # NOQA

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3aec019d39dd4990a71833138a1afd94240bc790

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py

Python

gym-tic-tac-toe/gym_tic_tac_toe/envs/__init__.py

Akhilez/gyms

bf16cf7fa4024cf9f0124e73293ea7e37421478e

[ "MIT" ]

null

gym-tic-tac-toe/gym_tic_tac_toe/envs/__init__.py

Akhilez/gyms

bf16cf7fa4024cf9f0124e73293ea7e37421478e

[ "MIT" ]

null

gym-tic-tac-toe/gym_tic_tac_toe/envs/__init__.py

Akhilez/gyms

bf16cf7fa4024cf9f0124e73293ea7e37421478e

[ "MIT" ]

null

from gym_tic_tac_toe.envs.tic_tac_toe_env import TicTacToeEnv from gym_tic_tac_toe.envs.t3_v2 import TicTacToeEnvV2

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7

3af4bbb0f43dcd060407da0cfc4ccbf66473f524

5,045

py

Python

test/units/service_framework_test.py

praktikos/praktikos-template-python

324c7640ee05469fba87a7ec64d6ac61675b259e

[ "MIT" ]

null

test/units/service_framework_test.py

praktikos/praktikos-template-python

324c7640ee05469fba87a7ec64d6ac61675b259e

[ "MIT" ]

null

test/units/service_framework_test.py

praktikos/praktikos-template-python

324c7640ee05469fba87a7ec64d6ac61675b259e

[ "MIT" ]

null

# -*- coding: utf-8 -*- from api.rdb.utils.service_framework import get_api_gateway_request # https://docs.aws.amazon.com/lambda/latest/dg/eventsources.html#eventsources-api-gateway-request # noinspection PyPep8,PyPep8,PyPep8 api_gateway_proxy_request_event_get = { "path": "/test/hello", "headers": { "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8", "Accept-Encoding": "gzip, deflate, lzma, sdch, br", "Accept-Language": "en-US,en;q=0.8", "CloudFront-Forwarded-Proto": "https", "CloudFront-Is-Desktop-Viewer": "true", "CloudFront-Is-Mobile-Viewer": "false", "CloudFront-Is-SmartTV-Viewer": "false", "CloudFront-Is-Tablet-Viewer": "false", "CloudFront-Viewer-Country": "US", "Host": "wt6mne2s9k.execute-api.us-west-2.amazonaws.com", "Upgrade-Insecure-Requests": "1", "Subscription-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36 OPR/39.0.2256.48", "Via": "1.1 fb7cca60f0ecd82ce07790c9c5eef16c.cloudfront.net (CloudFront)", "X-Amz-Cf-Id": "nBsWBOrSHMgnaROZJK1wGCZ9PcRcSpq_oSXZNQwQ10OTZL4cimZo3g==", "X-Forwarded-For": "192.168.100.1, 192.168.1.1", "X-Forwarded-Port": "443", "X-Forwarded-Proto": "https" }, "pathParameters": { "proxy": "hello" }, "requestContext": { "accountId": "123456789012", "resourceId": "us4z18", "stage": "test", "requestId": "41b45ea3-70b5-11e6-b7bd-69b5aaebc7d9", "identity": { "cognitoIdentityPoolId": "", "accountId": "", "cognitoIdentityId": "", "caller": "", "apiKey": "", "sourceIp": "192.168.100.1", "cognitoAuthenticationType": "", "cognitoAuthenticationProvider": "", "userArn": "", "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36 OPR/39.0.2256.48", "user": "" }, "resourcePath": "/{proxy+}", "httpMethod": "GET", "apiId": "wt6mne2s9k" }, "resource": "/{proxy+}", "httpMethod": "GET", "queryStringParameters": { "name": "me" }, "stageVariables": { "stageVarName": "stageVarValue" } } # noinspection PyPep8,PyPep8 api_gateway_proxy_request_event_put = { "path": "/test/hello", "headers": { "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8", "Accept-Encoding": "gzip, deflate, lzma, sdch, br", "Accept-Language": "en-US,en;q=0.8", "CloudFront-Forwarded-Proto": "https", "CloudFront-Is-Desktop-Viewer": "true", "CloudFront-Is-Mobile-Viewer": "false", "CloudFront-Is-SmartTV-Viewer": "false", "CloudFront-Is-Tablet-Viewer": "false", "CloudFront-Viewer-Country": "US", "Host": "wt6mne2s9k.execute-api.us-west-2.amazonaws.com", "Upgrade-Insecure-Requests": "1", "Subscription-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36 OPR/39.0.2256.48", "Via": "1.1 fb7cca60f0ecd82ce07790c9c5eef16c.cloudfront.net (CloudFront)", "X-Amz-Cf-Id": "nBsWBOrSHMgnaROZJK1wGCZ9PcRcSpq_oSXZNQwQ10OTZL4cimZo3g==", "X-Forwarded-For": "192.168.100.1, 192.168.1.1", "X-Forwarded-Port": "443", "X-Forwarded-Proto": "https" }, "pathParameters": { "proxy": "hello" }, "requestContext": { "accountId": "123456789012", "resourceId": "us4z18", "stage": "test", "requestId": "41b45ea3-70b5-11e6-b7bd-69b5aaebc7d9", "identity": { "cognitoIdentityPoolId": "", "accountId": "", "cognitoIdentityId": "", "caller": "", "apiKey": "", "sourceIp": "192.168.100.1", "cognitoAuthenticationType": "", "cognitoAuthenticationProvider": "", "userArn": "", "userAgent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36 OPR/39.0.2256.48", "user": "" }, "resourcePath": "/{proxy+}", "httpMethod": "PUT", "apiId": "wt6mne2s9k" }, "resource": "/{proxy+}", "httpMethod": "PUT", "queryStringParameters": { "name": "me" }, "stageVariables": { "stageVarName": "stageVarValue" } } def test_log_api_gateway_request(): """Test request_header """ result = get_api_gateway_request(api_gateway_proxy_request_event_get) assert result.startswith('curl https://') result = get_api_gateway_request(api_gateway_proxy_request_event_put) assert result.startswith('curl -H "Content-Type: application/json" -X PUT https://')

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336

py

Python

temporalio/bridge/proto/activity_result/__init__.py

cretz/temporal-sdk-python

431ca1967d365556a9cf5aa9aac00243b71059f8

[ "MIT" ]

55

2022-01-31T22:02:22.000Z

2022-03-30T11:17:21.000Z

temporalio/bridge/proto/activity_result/__init__.py

cretz/temporal-sdk-python

431ca1967d365556a9cf5aa9aac00243b71059f8

[ "MIT" ]

7

2022-02-04T14:08:46.000Z

2022-03-22T13:27:30.000Z

temporalio/bridge/proto/activity_result/__init__.py

cretz/temporal-sdk-python

431ca1967d365556a9cf5aa9aac00243b71059f8

[ "MIT" ]

4

2022-01-31T17:31:49.000Z

2022-03-29T01:04:46.000Z

from .activity_result_pb2 import ( ActivityExecutionResult, ActivityResolution, Cancellation, DoBackoff, Failure, Success, WillCompleteAsync, ) __all__ = [ "ActivityExecutionResult", "ActivityResolution", "Cancellation", "DoBackoff", "Failure", "Success", "WillCompleteAsync", ]

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null

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8

a30b2181125014ebeb41a0a5caaefb58593a434c

11,756

py

Python

commit_checker/download_security_classified_crbug_numbers.py

freingruber/JavaScript-Raider

d1c1fff2fcfc60f210b93dbe063216fa1a83c1d0

[ "Apache-2.0" ]

91

2022-01-24T07:32:34.000Z

2022-03-31T23:37:15.000Z

commit_checker/download_security_classified_crbug_numbers.py

zeusguy/JavaScript-Raider

d1c1fff2fcfc60f210b93dbe063216fa1a83c1d0

[ "Apache-2.0" ]

null

commit_checker/download_security_classified_crbug_numbers.py

zeusguy/JavaScript-Raider

d1c1fff2fcfc60f210b93dbe063216fa1a83c1d0

[ "Apache-2.0" ]

11

2022-01-24T14:21:12.000Z

2022-03-31T23:37:23.000Z

# Copyright 2022 @ReneFreingruber # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # We can use the "Chrome update news" to detect which bugs were security related. # This information can be used to label older CRBugs (e.g. "security relevant" or "not security relevant") # The labels are important when the data is passed to some learning logic. # For example, a neuronal network can be used to detect if a commit fixes an interesting CRBug (an exploitable 1day). # Data like "CRBug public viewable or not", authors of the commit patch, reviewers of the commit, # how long did it take to fix the bug, date of the fix, referenced persons, which files were modified, which words occur in the commit message, # which words are used in the discussion-messages, assigned tags, ... can be used as input to the neuronal network. # With the correct labels (which this script downloads), the neuronal network can learn to detect if a commit is # interesting or not. import requests import sys import pickle import re import utils import os all_urls = """https://chromereleases.googleblog.com/2021/08/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/08/the-stable-channel-has-been-updated-to.html https://chromereleases.googleblog.com/2021/07/stable-channel-update-for-desktop_20.html https://chromereleases.googleblog.com/2021/07/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/06/stable-channel-update-for-desktop_17.html https://chromereleases.googleblog.com/2021/06/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/05/stable-channel-update-for-desktop_25.html https://chromereleases.googleblog.com/2021/05/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/04/stable-channel-update-for-desktop_26.html https://chromereleases.googleblog.com/2021/04/stable-channel-update-for-desktop_20.html https://chromereleases.googleblog.com/2021/04/stable-channel-update-for-desktop_14.html https://chromereleases.googleblog.com/2021/04/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/03/stable-channel-update-for-desktop_30.html https://chromereleases.googleblog.com/2021/03/stable-channel-update-for-desktop_12.html https://chromereleases.googleblog.com/2021/03/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/02/stable-channel-update-for-desktop_16.html https://chromereleases.googleblog.com/2021/02/stable-channel-update-for-desktop_4.html https://chromereleases.googleblog.com/2021/02/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2021/01/stable-channel-update-for-desktop_19.html https://chromereleases.googleblog.com/2021/01/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/12/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/11/stable-channel-update-for-desktop_17.html https://chromereleases.googleblog.com/2020/11/stable-channel-update-for-desktop_11.html https://chromereleases.googleblog.com/2020/11/stable-channel-update-for-desktop_9.html https://chromereleases.googleblog.com/2020/11/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/10/stable-channel-update-for-desktop_20.html https://chromereleases.googleblog.com/2020/10/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/10/beta-channel-update-for-desktop_6.html https://chromereleases.googleblog.com/2020/09/stable-channel-update-for-desktop_21.html https://chromereleases.googleblog.com/2020/09/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/08/stable-channel-update-for-desktop_25.html https://chromereleases.googleblog.com/2020/08/stable-channel-update-for-desktop_18.html https://chromereleases.googleblog.com/2020/08/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/07/stable-channel-update-for-desktop_27.html https://chromereleases.googleblog.com/2020/07/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/06/stable-channel-update-for-desktop_22.html https://chromereleases.googleblog.com/2020/06/stable-channel-update-for-desktop_15.html https://chromereleases.googleblog.com/2020/06/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/05/stable-channel-update-for-desktop_19.html https://chromereleases.googleblog.com/2020/05/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/04/stable-channel-update-for-desktop_27.html https://chromereleases.googleblog.com/2020/04/stable-channel-update-for-desktop_21.html https://chromereleases.googleblog.com/2020/04/stable-channel-update-for-desktop_15.html https://chromereleases.googleblog.com/2020/04/stable-channel-update-for-desktop_7.html https://chromereleases.googleblog.com/2020/03/stable-channel-update-for-desktop_31.html https://chromereleases.googleblog.com/2020/03/stable-channel-update-for-desktop_18.html https://chromereleases.googleblog.com/2020/03/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop_24.html https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop_18.html https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop_13.html https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2020/01/stable-channel-update-for-desktop_16.html https://chromereleases.googleblog.com/2020/01/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/12/stable-channel-update-for-desktop_17.html https://chromereleases.googleblog.com/2019/12/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/11/stable-channel-update-for-desktop_18.html https://chromereleases.googleblog.com/2019/10/stable-channel-update-for-desktop_31.html https://chromereleases.googleblog.com/2019/10/stable-channel-update-for-desktop_22.html https://chromereleases.googleblog.com/2019/10/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/09/stable-channel-update-for-desktop_18.html https://chromereleases.googleblog.com/2019/09/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/08/stable-channel-update-for-desktop_26.html https://chromereleases.googleblog.com/2019/08/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/07/stable-channel-update-for-desktop_30.html https://chromereleases.googleblog.com/2019/07/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/06/stable-channel-update-for-desktop_13.html https://chromereleases.googleblog.com/2019/06/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/05/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/04/stable-channel-update-for-desktop_30.html https://chromereleases.googleblog.com/2019/04/stable-channel-update-for-desktop_23.html https://chromereleases.googleblog.com/2019/04/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/03/stable-channel-update-for-desktop_12.html https://chromereleases.googleblog.com/2019/03/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/02/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2019/01/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/12/stable-channel-update-for-desktop_12.html https://chromereleases.googleblog.com/2018/12/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/11/stable-channel-update-for-desktop_19.html https://chromereleases.googleblog.com/2018/11/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/10/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/09/stable-channel-update-for-desktop_17.html https://chromereleases.googleblog.com/2018/09/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/07/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/06/stable-channel-update-for-desktop_12.html https://chromereleases.googleblog.com/2018/06/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/05/stable-channel-update-for-desktop_58.html https://chromereleases.googleblog.com/2018/05/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/04/stable-channel-update-for-desktop_26.html https://chromereleases.googleblog.com/2018/04/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/03/stable-channel-update-for-desktop_20.html https://chromereleases.googleblog.com/2018/03/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/02/stable-channel-update-for-desktop_13.html https://chromereleases.googleblog.com/2018/02/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2018/01/stable-channel-update-for-desktop_24.html https://chromereleases.googleblog.com/2017/12/stable-channel-update-for-desktop_14.html https://chromereleases.googleblog.com/2017/12/stable-channel-update-for-desktop.html https://chromereleases.googleblog.com/2017/11/stable-channel-update-for-desktop_13.html https://chromereleases.googleblog.com/2017/11/stable-channel-update-for-desktop.html""" def get_response(arg_url): response = requests.get(arg_url).text return response def load_database(): if os.path.exists('database_security_bugs_from_rewards.pickle'): with open('database_security_bugs_from_rewards.pickle', 'rb') as handle: database_security_bugs_from_rewards = pickle.load(handle) else: database_security_bugs_from_rewards = set() return database_security_bugs_from_rewards def get_all_referenced_bugs(arg_url): chromium_bug_ids = set() response = get_response(arg_url) if "https://bugs.chromium.org/p/v8/issues/detail?id=" in arg_url: utils.perror("TODO: %s" % arg_url) for entry in re.findall(r'https://crbug.com/[0-9]+', response): chromium_bug_ids.add(int(entry[len("https://crbug.com/"):], 10)) for entry in re.findall(r'https://bugs.chromium.org/p/chromium/issues/detail\?id=[0-9]+', response): chromium_bug_ids.add(int(entry[len("https://bugs.chromium.org/p/chromium/issues/detail?id="):], 10)) return chromium_bug_ids def main(): all_security_bugs = set() for url in all_urls.split(): url = url.strip() if url == "": continue utils.msg("[i] Going to download from: %s" % url) bugs = get_all_referenced_bugs(url) all_security_bugs.update(bugs) with open('database_security_bugs_from_rewards.pickle', 'wb') as handle: pickle.dump(all_security_bugs, handle, protocol=pickle.HIGHEST_PROTOCOL) if __name__ == '__main__': main()

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1

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null

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a37c3d078d0c41f2c931c17db0983ad739358991

17,025

py

Python

morerandom.py

Wolframoviy/morerandom-py

3159aa3fa70db0c79e2a3fe2aed8803aa58fc966

[ "MIT" ]

null

morerandom.py

Wolframoviy/morerandom-py

3159aa3fa70db0c79e2a3fe2aed8803aa58fc966

[ "MIT" ]

null

morerandom.py

Wolframoviy/morerandom-py

3159aa3fa70db0c79e2a3fe2aed8803aa58fc966

[ "MIT" ]

null

import random def randbool(chance): res = random.randint(0,1000) if res >= chance: return False else: return True def randobj(dict): return dict[random.randint(0, len(dict)-1)] def randname(lang = None, gender = None): if lang == "en": if gender == "m": names = ["Abraham", "Addison", "Adrian", "Albert", "Alec", "Alfred", "Alvin", "Andrew", "Andy", "Archibald", "Archie", "Arlo", "Arthur", "Arthur", "Austen", "Barnabe", "Bartholomew", "Bertram", "Bramwell", "Byam", "Cardew", "Chad", "Chance", "Colin", "Coloman", "Curtis", "Cuthbert", "Daniel", "Darryl", "David", "Dickon", "Donald", "Dougie", "Douglas", "Earl", "Ebenezer", "Edgar", "Edmund", "Edward", "Edwin", "Elliot", "Emil", "Floyd", "Franklin", "Frederick", "Gabriel", "Galton", "Gareth", "George", "Gerard", "Gilbert", "Gorden", "Gordon", "Graham", "Grant", "Henry", "Hervey", "Hudson", "Hugh", "Ian", "Jack", "Jaime", "James", "Jason", "Jeffrey", "Joey", "John", "Jolyon", "Jonas", "Joseph", "Joshua", "Julian", "Justin", "Kurt", "Lanny", "Larry", "Laurence", "Lawton", "Lester", "Malcolm", "Marcus", "Mark", "Marshall", "Martin", "Marvin", "Matt", "Maximilian", "Michael", "Miles", "Murray", "Myron", "Nate", "Nathan", "Neil", "Nicholas", "Nicolas", "Norman", "Oliver", "Oscar", "Osric", "Owen", "Patrick", "Paul", "Peleg", "Philip", "Phillipps", "Raymond", "Reginald", "Rhys", "Richard", "Robert", "Roderick", "Rodger", "Roger", "Ronald", "Rowland", "Rufus", "Russell", "Sebastian", "Shahaf", "Simon", "Stephen", "Swaine", "Thomas", "Tobias", "Travis", "Victor", "Vincent", "Vincent", "Vivian", "Wayne", "Wilfred", "William", "Winston", "Zadoc"] return names[random.randint(0, len(names)-1)] elif gender == "f": names = ["Abigail", "Ada", "Addy", "Adelaide", "Adele", "Agatha", "Agnes", "Alaina", "Alanna", "Alberta", "Alice", "Aliso", "Alvina", "Amanda", "Ambe", "Amelia", "Amy", "Andrea", "Ange", "Angela", "Anna", "Annabe", "Arda", "Audrey", "Augusta", "Autum", "Avi", "Barbara", "Beatrice", "Belinda", "Bella", "Berenice", "Bertha", "Brenda", "Bridget", "Bronwen", "Cadence", "Carmelita", "Caroline", "Carolyn", "Carolynn", "Cassandra", "Cecilia", "Cecily", "Celia", "Charis", "Charisse", "Charity", "Charlotte", "Charmaine", "Cheryl", "Chloe", "Christabel", "Claribel", "Clarissa", "Clementine", "Cleo", "Cordelia", "Cristalyn", "Crystal", "Cynthia", "Daisy", "Daphne", "Darryl", "Davina", "Dawn", "Deanna", "Deanne", "Deborah", "Dede", "Delia", "Denise", "Destiny", "Diana", "Dolores", "Dora", "Doreen", "Dorothy", "Drusilla", "Dulcie", "Edith", "Edna", "Edwina", "Effie", "Eileen", "Eleanor", "Elektra", "Elizabeth", "Ella", "Ellen", "Emma", "Enid", "Estelle", "Ethel", "Eudora", "Eunice", "Eva", "Faith", "Felicity", "Fiona", "Flora", "Galenka", "Gaynor", "Gemma", "Genevieve", "Georgiana", "Gertie", "Gertrude", "Gia", "Glenda", "Gwen", "Gwenda", "Gwendolen", "Gwendoline", "Gwendolyn", "Hannah", "Harriet", "Helen", "Henrietta", "Hero", "Hester", "Honor", "Hope", "Ida", "Imelda", "Imogen", "InnogeIona", "Irene", "IriIsla", "Ivy", "Jacqueline", "Jacqui", "Jaime", "Jane", "Jemima", "Jenna", "Jennifer", "Jessica", "Jessie", "Joanna", "Joanne", "Joelle", "Joey", "Josephine", "Judith", "Julianne", "June", "Karen", "Kathleen", "Kaylee", "Kierra", "Lara", "Laura", "Lauren", "Leah", "Lettice", "Liana", "Lilla", "Lillia", "Lois", "Lorelei", "Loretta", "Lorna", "Lorraine", "Louisa", "Lucinda", "Lucy", "Lynnette", "Mabel", "Madge", "Maggie", "Marcia", "Marcie", "Margaret", "Marian", "Marianne", "Marilyn", "Marissa", "Marjorie", "Marsha", "Matilda", "Maud", "Maude", "Mavis", "May", "Medea", "Mehitable", "Melanie", "Melissa", "Michele", "Millicent", "Minna", "Moira", "Myra", "Myrna", "Myrtle", "Nadine", "Naila"] return names[random.randint(0, len(names)-1)] elif gender == None: names = ["Abraham", "Addison", "Adrian", "Albert", "Alec", "Alfred", "Alvin", "Andrew", "Andy", "Archibald", "Archie", "Arlo", "Arthur", "Arthur", "Austen", "Barnabe", "Bartholomew", "Bertram", "Bramwell", "Byam", "Cardew", "Chad", "Chance", "Colin", "Coloman", "Curtis", "Cuthbert", "Daniel", "Darryl", "David", "Dickon", "Donald", "Dougie", "Douglas", "Earl", "Ebenezer", "Edgar", "Edmund", "Edward", "Edwin", "Elliot", "Emil", "Floyd", "Franklin", "Frederick", "Gabriel", "Galton", "Gareth", "George", "Gerard", "Gilbert", "Gorden", "Gordon", "Graham", "Grant", "Henry", "Hervey", "Hudson", "Hugh", "Ian", "Jack", "Jaime", "James", "Jason", "Jeffrey", "Joey", "John", "Jolyon", "Jonas", "Joseph", "Joshua", "Julian", "Justin", "Kurt", "Lanny", "Larry", "Laurence", "Lawton", "Lester", "Malcolm", "Marcus", "Mark", "Marshall", "Martin", "Marvin", "Matt", "Maximilian", "Michael", "Miles", "Murray", "Myron", "Nate", "Nathan", "Neil", "Nicholas", "Nicolas", "Norman", "Oliver", "Oscar", "Osric", "Owen", "Patrick", "Paul", "Peleg", "Philip", "Phillipps", "Raymond", "Reginald", "Rhys", "Richard", "Robert", "Roderick", "Rodger", "Roger", "Ronald", "Rowland", "Rufus", "Russell", "Sebastian", "Shahaf", "Simon", "Stephen", "Swaine", "Thomas", "Tobias", "Travis", "Victor", "Vincent", "Vincent", "Vivian", "Wayne", "Wilfred", "William", "Winston", "Zadoc","Abigail", "Ada", "Addy", "Adelaide", "Adele", "Agatha", "Agnes", "Alaina", "Alanna", "Alberta", "Alice", "Aliso", "Alvina", "Amanda", "Ambe", "Amelia", "Amy", "Andrea", "Ange", "Angela", "Anna", "Annabe", "Arda", "Audrey", "Augusta", "Autum", "Avi", "Barbara", "Beatrice", "Belinda", "Bella", "Berenice", "Bertha", "Brenda", "Bridget", "Bronwen", "Cadence", "Carmelita", "Caroline", "Carolyn", "Carolynn", "Cassandra", "Cecilia", "Cecily", "Celia", "Charis", "Charisse", "Charity", "Charlotte", "Charmaine", "Cheryl", "Chloe", "Christabel", "Claribel", "Clarissa", "Clementine", "Cleo", "Cordelia", "Cristalyn", "Crystal", "Cynthia", "Daisy", "Daphne", "Darryl", "Davina", "Dawn", "Deanna", "Deanne", "Deborah", "Dede", "Delia", "Denise", "Destiny", "Diana", "Dolores", "Dora", "Doreen", "Dorothy", "Drusilla", "Dulcie", "Edith", "Edna", "Edwina", "Effie", "Eileen", "Eleanor", "Elektra", "Elizabeth", "Ella", "Ellen", "Emma", "Enid", "Estelle", "Ethel", "Eudora", "Eunice", "Eva", "Faith", "Felicity", "Fiona", "Flora", "Galenka", "Gaynor", "Gemma", "Genevieve", "Georgiana", "Gertie", "Gertrude", "Gia", "Glenda", "Gwen", "Gwenda", "Gwendolen", "Gwendoline", "Gwendolyn", "Hannah", "Harriet", "Helen", "Henrietta", "Hero", "Hester", "Honor", "Hope", "Ida", "Imelda", "Imogen", "InnogeIona", "Irene", "IriIsla", "Ivy", "Jacqueline", "Jacqui", "Jaime", "Jane", "Jemima", "Jenna", "Jennifer", "Jessica", "Jessie", "Joanna", "Joanne", "Joelle", "Joey", "Josephine", "Judith", "Julianne", "June", "Karen", "Kathleen", "Kaylee", "Kierra", "Lara", "Laura", "Lauren", "Leah", "Lettice", "Liana", "Lilla", "Lillia", "Lois", "Lorelei", "Loretta", "Lorna", "Lorraine", "Louisa", "Lucinda", "Lucy", "Lynnette", "Mabel", "Madge", "Maggie", "Marcia", "Marcie", "Margaret", "Marian", "Marianne", "Marilyn", "Marissa", "Marjorie", "Marsha", "Matilda", "Maud", "Maude", "Mavis", "May", "Medea", "Mehitable", "Melanie", "Melissa", "Michele", "Millicent", "Minna", "Moira", "Myra", "Myrna", "Myrtle", "Nadine", "Naila"] return names[random.randint(0, len(names)-1)] elif lang == "ru": if gender == "m": names = ['Иван', 'Арсений', 'Дмитрий', 'Никита', 'Константин', 'Артемий', 'Илья', 'Владимир', 'Андрей', 'Лев', 'Егор', 'Александр', 'Степан', 'Лука', 'Сергей', 'Артём', 'Кирилл', 'Максим', 'Дамир', 'Демид', 'Григорий', 'Тимофей', 'Василий', 'Валерий', 'Фёдор', 'Марк', 'Вадим', 'Матвей', 'Павел', 'Георгий', 'Платон', 'Михаил', 'Богдан', 'Даниил', 'Ярослав', 'Алексей', 'Леонид', 'Али', 'Роман', 'Елисей', 'Савелий', 'Борис', 'Марат', 'Роберт', 'Данила', 'Антон', 'Адам', 'Семён', 'Даниэль', 'Давид', 'Николай', 'Филипп', 'Владислав', 'Глеб', 'Мирон', 'Ян', 'Святослав', 'Тимур', 'Артур', 'Серафим', 'Денис', 'Назар', 'Игорь', 'Руслан', 'Данил', 'Эмир', 'Евгений', 'Пётр', 'Макар', 'Юрий', 'Станислав', 'Захар', 'Гордей', 'Родион', 'Всеволод', 'Ростислав', 'Вячеслав', 'Герман', 'Олег', 'Леон', 'Ибрагим', 'Виктор', 'Виталий', 'Мирослав', 'Демьян', 'Савва', 'Даниль', 'Рафаэль', 'Эрик', 'Альберт', 'Рустам', 'Эмиль', 'Яков', 'Тихон', 'Анатолий', 'Мартин', 'Билал', 'Тигран', 'Камиль', 'Марсель'] return names[random.randint(0, len(names)-1)] elif gender == "f": names = ['Мирослава', 'Кира', 'Анастасия', 'Ирина', 'Василиса', 'Екатерина', 'Евгения', 'Алиса', 'Арина', 'Вероника', 'Ника', 'Елизавета', 'Анна', 'Мария', 'Варвара', 'Марьяна', 'Валерия', 'Элина', 'Виктория', 'Сафия', 'Ярослава', 'Есения', 'Юлия', 'Светлана', 'Милана', 'Ульяна', 'Николь', 'Софья', 'София', 'Эмилия', 'Сабина', 'Полина', 'Надежда', 'Камила', 'Таисия', 'Дарья', 'Эвелина', 'Амина', 'Алисия', 'Айлин', 'Дарина', 'Антонина', 'Александра', 'Ксения', 'Камилла', 'Ясмина', 'Мадина', 'Диана', 'Малика', 'Оливия', 'Яна', 'Татьяна', 'Ева', 'Аделина', 'Ангелина', 'Вера', 'Лея', 'Злата', 'Асия', 'Аврора', 'Ольга', 'Кристина', 'Марина', 'Зоя', 'Наталья', 'Мира', 'Марьям', 'Фатима', 'Алина', 'Маргарита', 'Лидия', 'Амира', 'Лиана', 'Алия', 'Мила', 'Алёна', 'Юлиана', 'Ариана', 'Любовь', 'Аиша', 'Дария', 'Сара', 'Аяна', 'Агата', 'Майя', 'Мелания', 'Амелия', 'Марианна', 'Анфиса', 'Марта', 'Элеонора', 'Милослава', 'Регина', 'Серафима', 'Владислава', 'Елена', 'Нина', 'Лилия', 'Карина', 'Олеся'] return names[random.randint(0, len(names)-1)] elif gender == None: names = ['Мирослава', 'Кира', 'Анастасия', 'Ирина', 'Василиса', 'Екатерина', 'Евгения', 'Алиса', 'Арина', 'Вероника', 'Ника', 'Елизавета', 'Анна', 'Мария', 'Варвара', 'Марьяна', 'Валерия', 'Элина', 'Виктория', 'Сафия', 'Ярослава', 'Есения', 'Юлия', 'Светлана', 'Милана', 'Ульяна', 'Николь', 'Софья', 'София', 'Эмилия', 'Сабина', 'Полина', 'Надежда', 'Камила', 'Таисия', 'Дарья', 'Эвелина', 'Амина', 'Алисия', 'Айлин', 'Дарина', 'Антонина', 'Александра', 'Ксения', 'Камилла', 'Ясмина', 'Мадина', 'Диана', 'Малика', 'Оливия', 'Яна', 'Татьяна', 'Ева', 'Аделина', 'Ангелина', 'Вера', 'Лея', 'Злата', 'Асия', 'Аврора', 'Ольга', 'Кристина', 'Марина', 'Зоя', 'Наталья', 'Мира', 'Марьям', 'Фатима', 'Алина', 'Маргарита', 'Лидия', 'Амира', 'Лиана', 'Алия', 'Мила', 'Алёна', 'Юлиана', 'Ариана', 'Любовь', 'Аиша', 'Дария', 'Сара', 'Аяна', 'Агата', 'Майя', 'Мелания', 'Амелия', 'Марианна', 'Анфиса', 'Марта', 'Элеонора', 'Милослава', 'Регина', 'Серафима', 'Владислава', 'Елена', 'Нина', 'Лилия', 'Карина', 'Олеся','Иван', 'Арсений', 'Дмитрий', 'Никита', 'Константин', 'Артемий', 'Илья', 'Владимир', 'Андрей', 'Лев', 'Егор', 'Александр', 'Степан', 'Лука', 'Сергей', 'Артём', 'Кирилл', 'Максим', 'Дамир', 'Демид', 'Григорий', 'Тимофей', 'Василий', 'Валерий', 'Фёдор', 'Марк', 'Вадим', 'Матвей', 'Павел', 'Георгий', 'Платон', 'Михаил', 'Богдан', 'Даниил', 'Ярослав', 'Алексей', 'Леонид', 'Али', 'Роман', 'Елисей', 'Савелий', 'Борис', 'Марат', 'Роберт', 'Данила', 'Антон', 'Адам', 'Семён', 'Даниэль', 'Давид', 'Николай', 'Филипп', 'Владислав', 'Глеб', 'Мирон', 'Ян', 'Святослав', 'Тимур', 'Артур', 'Серафим', 'Денис', 'Назар', 'Игорь', 'Руслан', 'Данил', 'Эмир', 'Евгений', 'Пётр', 'Макар', 'Юрий', 'Станислав', 'Захар', 'Гордей', 'Родион', 'Всеволод', 'Ростислав', 'Вячеслав', 'Герман', 'Олег', 'Леон', 'Ибрагим', 'Виктор', 'Виталий', 'Мирослав', 'Демьян', 'Савва', 'Даниль', 'Рафаэль', 'Эрик', 'Альберт', 'Рустам', 'Эмиль', 'Яков', 'Тихон', 'Анатолий', 'Мартин', 'Билал', 'Тигран', 'Камиль', 'Марсель'] return names[random.randint(0, len(names)-1)] elif lang == None: names = ['Мирослава', 'Кира', 'Анастасия', 'Ирина', 'Василиса', 'Екатерина', 'Евгения', 'Алиса', 'Арина', 'Вероника', 'Ника', 'Елизавета', 'Анна', 'Мария', 'Варвара', 'Марьяна', 'Валерия', 'Элина', 'Виктория', 'Сафия', 'Ярослава', 'Есения', 'Юлия', 'Светлана', 'Милана', 'Ульяна', 'Николь', 'Софья', 'София', 'Эмилия', 'Сабина', 'Полина', 'Надежда', 'Камила', 'Таисия', 'Дарья', 'Эвелина', 'Амина', 'Алисия', 'Айлин', 'Дарина', 'Антонина', 'Александра', 'Ксения', 'Камилла', 'Ясмина', 'Мадина', 'Диана', 'Малика', 'Оливия', 'Яна', 'Татьяна', 'Ева', 'Аделина', 'Ангелина', 'Вера', 'Лея', 'Злата', 'Асия', 'Аврора', 'Ольга', 'Кристина', 'Марина', 'Зоя', 'Наталья', 'Мира', 'Марьям', 'Фатима', 'Алина', 'Маргарита', 'Лидия', 'Амира', 'Лиана', 'Алия', 'Мила', 'Алёна', 'Юлиана', 'Ариана', 'Любовь', 'Аиша', 'Дария', 'Сара', 'Аяна', 'Агата', 'Майя', 'Мелания', 'Амелия', 'Марианна', 'Анфиса', 'Марта', 'Элеонора', 'Милослава', 'Регина', 'Серафима', 'Владислава', 'Елена', 'Нина', 'Лилия', 'Карина', 'Олеся','Иван', 'Арсений', 'Дмитрий', 'Никита', 'Константин', 'Артемий', 'Илья', 'Владимир', 'Андрей', 'Лев', 'Егор', 'Александр', 'Степан', 'Лука', 'Сергей', 'Артём', 'Кирилл', 'Максим', 'Дамир', 'Демид', 'Григорий', 'Тимофей', 'Василий', 'Валерий', 'Фёдор', 'Марк', 'Вадим', 'Матвей', 'Павел', 'Георгий', 'Платон', 'Михаил', 'Богдан', 'Даниил', 'Ярослав', 'Алексей', 'Леонид', 'Али', 'Роман', 'Елисей', 'Савелий', 'Борис', 'Марат', 'Роберт', 'Данила', 'Антон', 'Адам', 'Семён', 'Даниэль', 'Давид', 'Николай', 'Филипп', 'Владислав', 'Глеб', 'Мирон', 'Ян', 'Святослав', 'Тимур', 'Артур', 'Серафим', 'Денис', 'Назар', 'Игорь', 'Руслан', 'Данил', 'Эмир', 'Евгений', 'Пётр', 'Макар', 'Юрий', 'Станислав', 'Захар', 'Гордей', 'Родион', 'Всеволод', 'Ростислав', 'Вячеслав', 'Герман', 'Олег', 'Леон', 'Ибрагим', 'Виктор', 'Виталий', 'Мирослав', 'Демьян', 'Савва', 'Даниль', 'Рафаэль', 'Эрик', 'Альберт', 'Рустам', 'Эмиль', 'Яков', 'Тихон', 'Анатолий', 'Мартин', 'Билал', 'Тигран', 'Камиль', 'Марсель', "Abraham", "Addison", "Adrian", "Albert", "Alec", "Alfred", "Alvin", "Andrew", "Andy", "Archibald", "Archie", "Arlo", "Arthur", "Arthur", "Austen", "Barnabe", "Bartholomew", "Bertram", "Bramwell", "Byam", "Cardew", "Chad", "Chance", "Colin", "Coloman", "Curtis", "Cuthbert", "Daniel", "Darryl", "David", "Dickon", "Donald", "Dougie", "Douglas", "Earl", "Ebenezer", "Edgar", "Edmund", "Edward", "Edwin", "Elliot", "Emil", "Floyd", "Franklin", "Frederick", "Gabriel", "Galton", "Gareth", "George", "Gerard", "Gilbert", "Gorden", "Gordon", "Graham", "Grant", "Henry", "Hervey", "Hudson", "Hugh", "Ian", "Jack", "Jaime", "James", "Jason", "Jeffrey", "Joey", "John", "Jolyon", "Jonas", "Joseph", "Joshua", "Julian", "Justin", "Kurt", "Lanny", "Larry", "Laurence", "Lawton", "Lester", "Malcolm", "Marcus", "Mark", "Marshall", "Martin", "Marvin", "Matt", "Maximilian", "Michael", "Miles", "Murray", "Myron", "Nate", "Nathan", "Neil", "Nicholas", "Nicolas", "Norman", "Oliver", "Oscar", "Osric", "Owen", "Patrick", "Paul", "Peleg", "Philip", "Phillipps", "Raymond", "Reginald", "Rhys", "Richard", "Robert", "Roderick", "Rodger", "Roger", "Ronald", "Rowland", "Rufus", "Russell", "Sebastian", "Shahaf", "Simon", "Stephen", "Swaine", "Thomas", "Tobias", "Travis", "Victor", "Vincent", "Vincent", "Vivian", "Wayne", "Wilfred", "William", "Winston", "Zadoc","Abigail", "Ada", "Addy", "Adelaide", "Adele", "Agatha", "Agnes", "Alaina", "Alanna", "Alberta", "Alice", "Aliso", "Alvina", "Amanda", "Ambe", "Amelia", "Amy", "Andrea", "Ange", "Angela", "Anna", "Annabe", "Arda", "Audrey", "Augusta", "Autum", "Avi", "Barbara", "Beatrice", "Belinda", "Bella", "Berenice", "Bertha", "Brenda", "Bridget", "Bronwen", "Cadence", "Carmelita", "Caroline", "Carolyn", "Carolynn", "Cassandra", "Cecilia", "Cecily", "Celia", "Charis", "Charisse", "Charity", "Charlotte", "Charmaine", "Cheryl", "Chloe", "Christabel", "Claribel", "Clarissa", "Clementine", "Cleo", "Cordelia", "Cristalyn", "Crystal", "Cynthia", "Daisy", "Daphne", "Darryl", "Davina", "Dawn", "Deanna", "Deanne", "Deborah", "Dede", "Delia", "Denise", "Destiny", "Diana", "Dolores", "Dora", "Doreen", "Dorothy", "Drusilla", "Dulcie", "Edith", "Edna", "Edwina", "Effie", "Eileen", "Eleanor", "Elektra", "Elizabeth", "Ella", "Ellen", "Emma", "Enid", "Estelle", "Ethel", "Eudora", "Eunice", "Eva", "Faith", "Felicity", "Fiona", "Flora", "Galenka", "Gaynor", "Gemma", "Genevieve", "Georgiana", "Gertie", "Gertrude", "Gia", "Glenda", "Gwen", "Gwenda", "Gwendolen", "Gwendoline", "Gwendolyn", "Hannah", "Harriet", "Helen", "Henrietta", "Hero", "Hester", "Honor", "Hope", "Ida", "Imelda", "Imogen", "InnogeIona", "Irene", "IriIsla", "Ivy", "Jacqueline", "Jacqui", "Jaime", "Jane", "Jemima", "Jenna", "Jennifer", "Jessica", "Jessie", "Joanna", "Joanne", "Joelle", "Joey", "Josephine", "Judith", "Julianne", "June", "Karen", "Kathleen", "Kaylee", "Kierra", "Lara", "Laura", "Lauren", "Leah", "Lettice", "Liana", "Lilla", "Lillia", "Lois", "Lorelei", "Loretta", "Lorna", "Lorraine", "Louisa", "Lucinda", "Lucy", "Lynnette", "Mabel", "Madge", "Maggie", "Marcia", "Marcie", "Margaret", "Marian", "Marianne", "Marilyn", "Marissa", "Marjorie", "Marsha", "Matilda", "Maud", "Maude", "Mavis", "May", "Medea", "Mehitable", "Melanie", "Melissa", "Michele", "Millicent", "Minna", "Moira", "Myra", "Myrna", "Myrtle", "Nadine", "Naila"] return names[random.randint(0, len(names)-1)]

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a3a5c4b7d896d4ee0da3e7d1cb1b5a6b67fa8fa0

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Python

tests/fast_tests/test_multi_fcnet.py

jesbu1/h-baselines

f6f775bb18de22527f2d01d73bd733ed2e435ba3

[ "MIT" ]

null

tests/fast_tests/test_multi_fcnet.py

jesbu1/h-baselines

f6f775bb18de22527f2d01d73bd733ed2e435ba3

[ "MIT" ]

null

tests/fast_tests/test_multi_fcnet.py

jesbu1/h-baselines

f6f775bb18de22527f2d01d73bd733ed2e435ba3

[ "MIT" ]

null

"""Tests for the policies in the hbaselines/multi_fcnet subdirectory.""" import unittest import numpy as np import tensorflow as tf from gym.spaces import Box from hbaselines.utils.tf_util import get_trainable_vars from hbaselines.multi_fcnet.td3 import MultiFeedForwardPolicy as \ TD3MultiFeedForwardPolicy from hbaselines.multi_fcnet.sac import MultiFeedForwardPolicy as \ SACMultiFeedForwardPolicy from hbaselines.algorithms.off_policy import SAC_PARAMS, TD3_PARAMS from hbaselines.algorithms.off_policy import MULTI_FEEDFORWARD_PARAMS class TestMultiActorCriticPolicy(unittest.TestCase): """Test MultiActorCriticPolicy in hbaselines/multi_fcnet/base.py.""" def setUp(self): self.sess = tf.compat.v1.Session() # Shared policy parameters self.policy_params_shared = { 'sess': self.sess, 'ac_space': Box(low=-1, high=1, shape=(1,)), 'co_space': Box(low=-2, high=2, shape=(2,)), 'ob_space': Box(low=-3, high=3, shape=(3,)), 'all_ob_space': Box(low=-3, high=3, shape=(10,)), 'layers': [256, 256], 'verbose': 0, } self.policy_params_shared.update(TD3_PARAMS.copy()) self.policy_params_shared.update(MULTI_FEEDFORWARD_PARAMS.copy()) self.policy_params_shared['shared'] = True # Independent policy parameters self.policy_params_independent = { 'sess': self.sess, 'ac_space': { 'a': Box(low=-1, high=1, shape=(1,)), 'b': Box(low=-2, high=2, shape=(2,)), }, 'co_space': { 'a': Box(low=-3, high=3, shape=(3,)), 'b': Box(low=-4, high=4, shape=(4,)), }, 'ob_space': { 'a': Box(low=-5, high=5, shape=(5,)), 'b': Box(low=-6, high=6, shape=(6,)), }, 'all_ob_space': Box(low=-6, high=6, shape=(18,)), 'layers': [256, 256], 'verbose': 0, } self.policy_params_independent.update(TD3_PARAMS.copy()) self.policy_params_independent.update(MULTI_FEEDFORWARD_PARAMS.copy()) self.policy_params_independent['shared'] = False def tearDown(self): self.sess.close() del self.policy_params_shared del self.policy_params_independent # Clear the graph. tf.compat.v1.reset_default_graph() def test_store_transition_1(self): """Check the functionality of the store_transition() method. This test checks for the following cases: 1. maddpg = False, shared = False 2. maddpg = False, shared = True """ policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = False policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() for i in range(4): action_0 = np.array([i for _ in range(1)]) action_1 = np.array([i for _ in range(2)]) context0_0 = np.array([i for _ in range(3)]) context0_1 = np.array([i for _ in range(4)]) obs0_0 = np.array([i for _ in range(5)]) obs0_1 = np.array([i for _ in range(6)]) reward = i obs1_0 = np.array([i+1 for _ in range(5)]) obs1_1 = np.array([i+1 for _ in range(6)]) context1_0 = np.array([i for _ in range(3)]) context1_1 = np.array([i for _ in range(4)]) done = False is_final_step = False evaluate = False policy.store_transition( obs0={"a": obs0_0, "b": obs0_1}, context0={"a": context0_0, "b": context0_1}, action={"a": action_0, "b": action_1}, reward={"a": reward, "b": reward}, obs1={"a": obs1_0, "b": obs1_1}, context1={"a": context1_0, "b": context1_1}, done=done, is_final_step=is_final_step, evaluate=evaluate, env_num=0, ) # =================================================================== # # test for agent a # # =================================================================== # obs_t = policy.agents["a"].replay_buffer.obs_t action_t = policy.agents["a"].replay_buffer.action_t reward = policy.agents["a"].replay_buffer.reward done = policy.agents["a"].replay_buffer.done # check the various attributes np.testing.assert_almost_equal( obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3.]]) ) np.testing.assert_almost_equal( action_t[:4, :], np.array([[0.], [1.], [2.], [3.]]) ) np.testing.assert_almost_equal( reward[:4], np.array([0., 1., 2., 3.]) ) np.testing.assert_almost_equal( done[:4], [0., 0., 0., 0.] ) # =================================================================== # # test for agent b # # =================================================================== # obs_t = policy.agents["b"].replay_buffer.obs_t action_t = policy.agents["b"].replay_buffer.action_t reward = policy.agents["b"].replay_buffer.reward done = policy.agents["b"].replay_buffer.done # check the various attributes np.testing.assert_almost_equal( obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]]) ) np.testing.assert_almost_equal( action_t[:4, :], np.array([[0., 0.], [1., 1.], [2., 2.], [3., 3.]]) ) np.testing.assert_almost_equal( reward[:4], np.array([0., 1., 2., 3.]) ) np.testing.assert_almost_equal( done[:4], [0., 0., 0., 0.] ) def test_store_transition_2(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = False policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() for i in range(4): obs0 = np.array([i for _ in range(2)]) context0 = np.array([i for _ in range(3)]) action = np.array([i for _ in range(1)]) reward = i obs1 = np.array([i+1 for _ in range(2)]) context1 = np.array([i for _ in range(3)]) is_final_step = False evaluate = False policy.store_transition( obs0={"a": obs0, "b": obs0 + 1}, context0={"a": context0, "b": context0 + 1}, action={"a": action, "b": action + 1}, reward={"a": reward, "b": reward + 1}, obs1={"a": obs1, "b": obs1 + 1}, context1={"a": context1, "b": context1 + 1}, done=0., is_final_step=is_final_step, evaluate=evaluate, env_num=0, ) # extract the attributes obs_t = policy.agents["policy"].replay_buffer.obs_t action_t = policy.agents["policy"].replay_buffer.action_t reward = policy.agents["policy"].replay_buffer.reward done = policy.agents["policy"].replay_buffer.done # check the various attributes np.testing.assert_almost_equal( obs_t[:8, :], np.array([[0., 0., 0., 0., 0.], [1., 1., 1., 1., 1.], [1., 1., 1., 1., 1.], [2., 2., 2., 2., 2.], [2., 2., 2., 2., 2.], [3., 3., 3., 3., 3.], [3., 3., 3., 3., 3.], [4., 4., 4., 4., 4.]]) ) np.testing.assert_almost_equal( action_t[:8, :], np.array([[0.], [1.], [1.], [2.], [2.], [3.], [3.], [4.]]) ) np.testing.assert_almost_equal( reward[:8], np.array([0., 1., 1., 2., 2., 3., 3., 4.]) ) np.testing.assert_almost_equal( done[:8], [0., 0., 0., 0., 0., 0., 0., 0.] ) class TestTD3MultiFeedForwardPolicy(unittest.TestCase): """Test MultiFeedForwardPolicy in hbaselines/multi_fcnet/td3.py.""" def setUp(self): self.sess = tf.compat.v1.Session() # Shared policy parameters self.policy_params_shared = { 'sess': self.sess, 'ac_space': Box(low=-1, high=1, shape=(1,)), 'co_space': Box(low=-2, high=2, shape=(2,)), 'ob_space': Box(low=-3, high=3, shape=(3,)), 'all_ob_space': Box(low=-3, high=3, shape=(10,)), 'layers': [256, 256], 'verbose': 0, } self.policy_params_shared.update(TD3_PARAMS.copy()) self.policy_params_shared.update(MULTI_FEEDFORWARD_PARAMS.copy()) self.policy_params_shared['shared'] = True # Independent policy parameters self.policy_params_independent = { 'sess': self.sess, 'ac_space': { 'a': Box(low=-1, high=1, shape=(1,)), 'b': Box(low=-2, high=2, shape=(2,)), }, 'co_space': { 'a': Box(low=-3, high=3, shape=(3,)), 'b': Box(low=-4, high=4, shape=(4,)), }, 'ob_space': { 'a': Box(low=-5, high=5, shape=(5,)), 'b': Box(low=-6, high=6, shape=(6,)), }, 'all_ob_space': Box(low=-6, high=6, shape=(18,)), 'layers': [256, 256], 'verbose': 0, } self.policy_params_independent.update(TD3_PARAMS.copy()) self.policy_params_independent.update(MULTI_FEEDFORWARD_PARAMS.copy()) self.policy_params_independent['shared'] = False def tearDown(self): self.sess.close() del self.policy_params_shared del self.policy_params_independent # Clear the graph. tf.compat.v1.reset_default_graph() def test_init_1(self): """Check the functionality of the __init__() method. This method is tested for the following features: 1. The proper structure graph was generated. 2. All input placeholders are correct. This is done for the following cases: 1. maddpg = False, shared = False 2. maddpg = False, shared = True 3. maddpg = True, shared = False 4. maddpg = True, shared = True """ policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = False policy = TD3MultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['a/model/pi/fc0/bias:0', 'a/model/pi/fc0/kernel:0', 'a/model/pi/fc1/bias:0', 'a/model/pi/fc1/kernel:0', 'a/model/pi/output/bias:0', 'a/model/pi/output/kernel:0', 'a/model/qf_0/fc0/bias:0', 'a/model/qf_0/fc0/kernel:0', 'a/model/qf_0/fc1/bias:0', 'a/model/qf_0/fc1/kernel:0', 'a/model/qf_0/qf_output/bias:0', 'a/model/qf_0/qf_output/kernel:0', 'a/model/qf_1/fc0/bias:0', 'a/model/qf_1/fc0/kernel:0', 'a/model/qf_1/fc1/bias:0', 'a/model/qf_1/fc1/kernel:0', 'a/model/qf_1/qf_output/bias:0', 'a/model/qf_1/qf_output/kernel:0', 'a/target/pi/fc0/bias:0', 'a/target/pi/fc0/kernel:0', 'a/target/pi/fc1/bias:0', 'a/target/pi/fc1/kernel:0', 'a/target/pi/output/bias:0', 'a/target/pi/output/kernel:0', 'a/target/qf_0/fc0/bias:0', 'a/target/qf_0/fc0/kernel:0', 'a/target/qf_0/fc1/bias:0', 'a/target/qf_0/fc1/kernel:0', 'a/target/qf_0/qf_output/bias:0', 'a/target/qf_0/qf_output/kernel:0', 'a/target/qf_1/fc0/bias:0', 'a/target/qf_1/fc0/kernel:0', 'a/target/qf_1/fc1/bias:0', 'a/target/qf_1/fc1/kernel:0', 'a/target/qf_1/qf_output/bias:0', 'a/target/qf_1/qf_output/kernel:0', 'b/model/pi/fc0/bias:0', 'b/model/pi/fc0/kernel:0', 'b/model/pi/fc1/bias:0', 'b/model/pi/fc1/kernel:0', 'b/model/pi/output/bias:0', 'b/model/pi/output/kernel:0', 'b/model/qf_0/fc0/bias:0', 'b/model/qf_0/fc0/kernel:0', 'b/model/qf_0/fc1/bias:0', 'b/model/qf_0/fc1/kernel:0', 'b/model/qf_0/qf_output/bias:0', 'b/model/qf_0/qf_output/kernel:0', 'b/model/qf_1/fc0/bias:0', 'b/model/qf_1/fc0/kernel:0', 'b/model/qf_1/fc1/bias:0', 'b/model/qf_1/fc1/kernel:0', 'b/model/qf_1/qf_output/bias:0', 'b/model/qf_1/qf_output/kernel:0', 'b/target/pi/fc0/bias:0', 'b/target/pi/fc0/kernel:0', 'b/target/pi/fc1/bias:0', 'b/target/pi/fc1/kernel:0', 'b/target/pi/output/bias:0', 'b/target/pi/output/kernel:0', 'b/target/qf_0/fc0/bias:0', 'b/target/qf_0/fc0/kernel:0', 'b/target/qf_0/fc1/bias:0', 'b/target/qf_0/fc1/kernel:0', 'b/target/qf_0/qf_output/bias:0', 'b/target/qf_0/qf_output/kernel:0', 'b/target/qf_1/fc0/bias:0', 'b/target/qf_1/fc0/kernel:0', 'b/target/qf_1/fc1/bias:0', 'b/target/qf_1/fc1/kernel:0', 'b/target/qf_1/qf_output/bias:0', 'b/target/qf_1/qf_output/kernel:0'] ) # Check observation/action/context spaces of the agents self.assertEqual(policy.agents['a'].ac_space, self.policy_params_independent['ac_space']['a']) self.assertEqual(policy.agents['a'].ob_space, self.policy_params_independent['ob_space']['a']) self.assertEqual(policy.agents['a'].co_space, self.policy_params_independent['co_space']['a']) self.assertEqual(policy.agents['b'].ac_space, self.policy_params_independent['ac_space']['b']) self.assertEqual(policy.agents['b'].ob_space, self.policy_params_independent['ob_space']['b']) self.assertEqual(policy.agents['b'].co_space, self.policy_params_independent['co_space']['b']) # Check the instantiation of the class attributes. self.assertTrue(not policy.shared) self.assertTrue(not policy.maddpg) def test_init_2(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = False policy = TD3MultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['model/pi/fc0/bias:0', 'model/pi/fc0/kernel:0', 'model/pi/fc1/bias:0', 'model/pi/fc1/kernel:0', 'model/pi/output/bias:0', 'model/pi/output/kernel:0', 'model/qf_0/fc0/bias:0', 'model/qf_0/fc0/kernel:0', 'model/qf_0/fc1/bias:0', 'model/qf_0/fc1/kernel:0', 'model/qf_0/qf_output/bias:0', 'model/qf_0/qf_output/kernel:0', 'model/qf_1/fc0/bias:0', 'model/qf_1/fc0/kernel:0', 'model/qf_1/fc1/bias:0', 'model/qf_1/fc1/kernel:0', 'model/qf_1/qf_output/bias:0', 'model/qf_1/qf_output/kernel:0', 'target/pi/fc0/bias:0', 'target/pi/fc0/kernel:0', 'target/pi/fc1/bias:0', 'target/pi/fc1/kernel:0', 'target/pi/output/bias:0', 'target/pi/output/kernel:0', 'target/qf_0/fc0/bias:0', 'target/qf_0/fc0/kernel:0', 'target/qf_0/fc1/bias:0', 'target/qf_0/fc1/kernel:0', 'target/qf_0/qf_output/bias:0', 'target/qf_0/qf_output/kernel:0', 'target/qf_1/fc0/bias:0', 'target/qf_1/fc0/kernel:0', 'target/qf_1/fc1/bias:0', 'target/qf_1/fc1/kernel:0', 'target/qf_1/qf_output/bias:0', 'target/qf_1/qf_output/kernel:0'] ) # Check observation/action/context spaces of the agents self.assertEqual(policy.agents['policy'].ac_space, self.policy_params_shared['ac_space']) self.assertEqual(policy.agents['policy'].ob_space, self.policy_params_shared['ob_space']) self.assertEqual(policy.agents['policy'].co_space, self.policy_params_shared['co_space']) # Check the instantiation of the class attributes. self.assertTrue(policy.shared) self.assertTrue(not policy.maddpg) def test_init_3(self): policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = True policy = TD3MultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['a/model/centralized_qf_0/fc0/bias:0', 'a/model/centralized_qf_0/fc0/kernel:0', 'a/model/centralized_qf_0/fc1/bias:0', 'a/model/centralized_qf_0/fc1/kernel:0', 'a/model/centralized_qf_0/qf_output/bias:0', 'a/model/centralized_qf_0/qf_output/kernel:0', 'a/model/centralized_qf_1/fc0/bias:0', 'a/model/centralized_qf_1/fc0/kernel:0', 'a/model/centralized_qf_1/fc1/bias:0', 'a/model/centralized_qf_1/fc1/kernel:0', 'a/model/centralized_qf_1/qf_output/bias:0', 'a/model/centralized_qf_1/qf_output/kernel:0', 'a/model/pi/fc0/bias:0', 'a/model/pi/fc0/kernel:0', 'a/model/pi/fc1/bias:0', 'a/model/pi/fc1/kernel:0', 'a/model/pi/output/bias:0', 'a/model/pi/output/kernel:0', 'a/target/centralized_qf_0/fc0/bias:0', 'a/target/centralized_qf_0/fc0/kernel:0', 'a/target/centralized_qf_0/fc1/bias:0', 'a/target/centralized_qf_0/fc1/kernel:0', 'a/target/centralized_qf_0/qf_output/bias:0', 'a/target/centralized_qf_0/qf_output/kernel:0', 'a/target/centralized_qf_1/fc0/bias:0', 'a/target/centralized_qf_1/fc0/kernel:0', 'a/target/centralized_qf_1/fc1/bias:0', 'a/target/centralized_qf_1/fc1/kernel:0', 'a/target/centralized_qf_1/qf_output/bias:0', 'a/target/centralized_qf_1/qf_output/kernel:0', 'a/target/pi/fc0/bias:0', 'a/target/pi/fc0/kernel:0', 'a/target/pi/fc1/bias:0', 'a/target/pi/fc1/kernel:0', 'a/target/pi/output/bias:0', 'a/target/pi/output/kernel:0', 'b/model/centralized_qf_0/fc0/bias:0', 'b/model/centralized_qf_0/fc0/kernel:0', 'b/model/centralized_qf_0/fc1/bias:0', 'b/model/centralized_qf_0/fc1/kernel:0', 'b/model/centralized_qf_0/qf_output/bias:0', 'b/model/centralized_qf_0/qf_output/kernel:0', 'b/model/centralized_qf_1/fc0/bias:0', 'b/model/centralized_qf_1/fc0/kernel:0', 'b/model/centralized_qf_1/fc1/bias:0', 'b/model/centralized_qf_1/fc1/kernel:0', 'b/model/centralized_qf_1/qf_output/bias:0', 'b/model/centralized_qf_1/qf_output/kernel:0', 'b/model/pi/fc0/bias:0', 'b/model/pi/fc0/kernel:0', 'b/model/pi/fc1/bias:0', 'b/model/pi/fc1/kernel:0', 'b/model/pi/output/bias:0', 'b/model/pi/output/kernel:0', 'b/target/centralized_qf_0/fc0/bias:0', 'b/target/centralized_qf_0/fc0/kernel:0', 'b/target/centralized_qf_0/fc1/bias:0', 'b/target/centralized_qf_0/fc1/kernel:0', 'b/target/centralized_qf_0/qf_output/bias:0', 'b/target/centralized_qf_0/qf_output/kernel:0', 'b/target/centralized_qf_1/fc0/bias:0', 'b/target/centralized_qf_1/fc0/kernel:0', 'b/target/centralized_qf_1/fc1/bias:0', 'b/target/centralized_qf_1/fc1/kernel:0', 'b/target/centralized_qf_1/qf_output/bias:0', 'b/target/centralized_qf_1/qf_output/kernel:0', 'b/target/pi/fc0/bias:0', 'b/target/pi/fc0/kernel:0', 'b/target/pi/fc1/bias:0', 'b/target/pi/fc1/kernel:0', 'b/target/pi/output/bias:0', 'b/target/pi/output/kernel:0'] ) # Check observation/action/context spaces of the agents for key in policy.ac_space.keys(): self.assertEqual(int(policy.all_obs_ph[key].shape[-1]), policy.all_ob_space.shape[0]) self.assertEqual(int(policy.all_obs1_ph[key].shape[-1]), policy.all_ob_space.shape[0]) self.assertEqual(int(policy.all_action_ph[key].shape[-1]), sum(policy.ac_space[key].shape[0] for key in policy.ac_space.keys())) self.assertEqual(int(policy.action_ph[key].shape[-1]), policy.ac_space[key].shape[0]) self.assertEqual(int(policy.obs_ph[key].shape[-1]), int(policy.ob_space[key].shape[0] + policy.co_space[key].shape[0])) self.assertEqual(int(policy.obs1_ph[key].shape[-1]), int(policy.ob_space[key].shape[0] + policy.co_space[key].shape[0])) # Check the instantiation of the class attributes. self.assertTrue(not policy.shared) self.assertTrue(policy.maddpg) def test_init_4(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = True policy = TD3MultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['model/centralized_qf_0/fc0/bias:0', 'model/centralized_qf_0/fc0/kernel:0', 'model/centralized_qf_0/fc1/bias:0', 'model/centralized_qf_0/fc1/kernel:0', 'model/centralized_qf_0/qf_output/bias:0', 'model/centralized_qf_0/qf_output/kernel:0', 'model/centralized_qf_1/fc0/bias:0', 'model/centralized_qf_1/fc0/kernel:0', 'model/centralized_qf_1/fc1/bias:0', 'model/centralized_qf_1/fc1/kernel:0', 'model/centralized_qf_1/qf_output/bias:0', 'model/centralized_qf_1/qf_output/kernel:0', 'model/pi/fc0/bias:0', 'model/pi/fc0/kernel:0', 'model/pi/fc1/bias:0', 'model/pi/fc1/kernel:0', 'model/pi/output/bias:0', 'model/pi/output/kernel:0', 'target/centralized_qf_0/fc0/bias:0', 'target/centralized_qf_0/fc0/kernel:0', 'target/centralized_qf_0/fc1/bias:0', 'target/centralized_qf_0/fc1/kernel:0', 'target/centralized_qf_0/qf_output/bias:0', 'target/centralized_qf_0/qf_output/kernel:0', 'target/centralized_qf_1/fc0/bias:0', 'target/centralized_qf_1/fc0/kernel:0', 'target/centralized_qf_1/fc1/bias:0', 'target/centralized_qf_1/fc1/kernel:0', 'target/centralized_qf_1/qf_output/bias:0', 'target/centralized_qf_1/qf_output/kernel:0', 'target/pi/fc0/bias:0', 'target/pi/fc0/kernel:0', 'target/pi/fc1/bias:0', 'target/pi/fc1/kernel:0', 'target/pi/output/bias:0', 'target/pi/output/kernel:0'] ) # Check observation/action/context spaces of the agents self.assertEqual(int(policy.all_obs_ph.shape[-1]), policy.all_ob_space.shape[0]) self.assertEqual(int(policy.all_obs1_ph.shape[-1]), policy.all_ob_space.shape[0]) self.assertEqual(int(policy.all_action_ph.shape[-1]), policy.n_agents * policy.ac_space.shape[0]) self.assertEqual(int(policy.action_ph[0].shape[-1]), policy.ac_space.shape[0]) self.assertEqual(int(policy.obs_ph[0].shape[-1]), int(policy.ob_space.shape[0] + policy.co_space.shape[0])) self.assertEqual(int(policy.obs1_ph[0].shape[-1]), int(policy.ob_space.shape[0] + policy.co_space.shape[0])) # Check the instantiation of the class attributes. self.assertTrue(policy.shared) self.assertTrue(policy.maddpg) def test_initialize_1(self): """Check the functionality of the initialize() method. This test validates that the target variables are properly initialized when initialize is called. This is done for the following cases: 1. maddpg = False, shared = False 2. maddpg = False, shared = True 3. maddpg = True, shared = False 4. maddpg = True, shared = True """ policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = False policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'a/model/pi/fc0/bias:0', 'a/model/pi/fc0/kernel:0', 'a/model/pi/fc1/bias:0', 'a/model/pi/fc1/kernel:0', 'a/model/pi/output/bias:0', 'a/model/pi/output/kernel:0', 'a/model/qf_0/fc0/bias:0', 'a/model/qf_0/fc0/kernel:0', 'a/model/qf_0/fc1/bias:0', 'a/model/qf_0/fc1/kernel:0', 'a/model/qf_0/qf_output/bias:0', 'a/model/qf_0/qf_output/kernel:0', 'a/model/qf_1/fc0/bias:0', 'a/model/qf_1/fc0/kernel:0', 'a/model/qf_1/fc1/bias:0', 'a/model/qf_1/fc1/kernel:0', 'a/model/qf_1/qf_output/bias:0', 'a/model/qf_1/qf_output/kernel:0', 'b/model/pi/fc0/bias:0', 'b/model/pi/fc0/kernel:0', 'b/model/pi/fc1/bias:0', 'b/model/pi/fc1/kernel:0', 'b/model/pi/output/bias:0', 'b/model/pi/output/kernel:0', 'b/model/qf_0/fc0/bias:0', 'b/model/qf_0/fc0/kernel:0', 'b/model/qf_0/fc1/bias:0', 'b/model/qf_0/fc1/kernel:0', 'b/model/qf_0/qf_output/bias:0', 'b/model/qf_0/qf_output/kernel:0', 'b/model/qf_1/fc0/bias:0', 'b/model/qf_1/fc0/kernel:0', 'b/model/qf_1/fc1/bias:0', 'b/model/qf_1/fc1/kernel:0', 'b/model/qf_1/qf_output/bias:0', 'b/model/qf_1/qf_output/kernel:0', ] target_var_list = [ 'a/target/pi/fc0/bias:0', 'a/target/pi/fc0/kernel:0', 'a/target/pi/fc1/bias:0', 'a/target/pi/fc1/kernel:0', 'a/target/pi/output/bias:0', 'a/target/pi/output/kernel:0', 'a/target/qf_0/fc0/bias:0', 'a/target/qf_0/fc0/kernel:0', 'a/target/qf_0/fc1/bias:0', 'a/target/qf_0/fc1/kernel:0', 'a/target/qf_0/qf_output/bias:0', 'a/target/qf_0/qf_output/kernel:0', 'a/target/qf_1/fc0/bias:0', 'a/target/qf_1/fc0/kernel:0', 'a/target/qf_1/fc1/bias:0', 'a/target/qf_1/fc1/kernel:0', 'a/target/qf_1/qf_output/bias:0', 'a/target/qf_1/qf_output/kernel:0', 'b/target/pi/fc0/bias:0', 'b/target/pi/fc0/kernel:0', 'b/target/pi/fc1/bias:0', 'b/target/pi/fc1/kernel:0', 'b/target/pi/output/bias:0', 'b/target/pi/output/kernel:0', 'b/target/qf_0/fc0/bias:0', 'b/target/qf_0/fc0/kernel:0', 'b/target/qf_0/fc1/bias:0', 'b/target/qf_0/fc1/kernel:0', 'b/target/qf_0/qf_output/bias:0', 'b/target/qf_0/qf_output/kernel:0', 'b/target/qf_1/fc0/bias:0', 'b/target/qf_1/fc0/kernel:0', 'b/target/qf_1/fc1/bias:0', 'b/target/qf_1/fc1/kernel:0', 'b/target/qf_1/qf_output/bias:0', 'b/target/qf_1/qf_output/kernel:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_initialize_2(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = False policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'model/pi/fc0/bias:0', 'model/pi/fc0/kernel:0', 'model/pi/fc1/bias:0', 'model/pi/fc1/kernel:0', 'model/pi/output/bias:0', 'model/pi/output/kernel:0', 'model/qf_0/fc0/bias:0', 'model/qf_0/fc0/kernel:0', 'model/qf_0/fc1/bias:0', 'model/qf_0/fc1/kernel:0', 'model/qf_0/qf_output/bias:0', 'model/qf_0/qf_output/kernel:0', 'model/qf_1/fc0/bias:0', 'model/qf_1/fc0/kernel:0', 'model/qf_1/fc1/bias:0', 'model/qf_1/fc1/kernel:0', 'model/qf_1/qf_output/bias:0', 'model/qf_1/qf_output/kernel:0', ] target_var_list = [ 'target/pi/fc0/bias:0', 'target/pi/fc0/kernel:0', 'target/pi/fc1/bias:0', 'target/pi/fc1/kernel:0', 'target/pi/output/bias:0', 'target/pi/output/kernel:0', 'target/qf_0/fc0/bias:0', 'target/qf_0/fc0/kernel:0', 'target/qf_0/fc1/bias:0', 'target/qf_0/fc1/kernel:0', 'target/qf_0/qf_output/bias:0', 'target/qf_0/qf_output/kernel:0', 'target/qf_1/fc0/bias:0', 'target/qf_1/fc0/kernel:0', 'target/qf_1/fc1/bias:0', 'target/qf_1/fc1/kernel:0', 'target/qf_1/qf_output/bias:0', 'target/qf_1/qf_output/kernel:0' ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_initialize_3(self): policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = True policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'a/model/centralized_qf_0/fc0/bias:0', 'a/model/centralized_qf_0/fc0/kernel:0', 'a/model/centralized_qf_0/fc1/bias:0', 'a/model/centralized_qf_0/fc1/kernel:0', 'a/model/centralized_qf_0/qf_output/bias:0', 'a/model/centralized_qf_0/qf_output/kernel:0', 'a/model/centralized_qf_1/fc0/bias:0', 'a/model/centralized_qf_1/fc0/kernel:0', 'a/model/centralized_qf_1/fc1/bias:0', 'a/model/centralized_qf_1/fc1/kernel:0', 'a/model/centralized_qf_1/qf_output/bias:0', 'a/model/centralized_qf_1/qf_output/kernel:0', 'a/model/pi/fc0/bias:0', 'a/model/pi/fc0/kernel:0', 'a/model/pi/fc1/bias:0', 'a/model/pi/fc1/kernel:0', 'a/model/pi/output/bias:0', 'a/model/pi/output/kernel:0', 'b/model/centralized_qf_0/fc0/bias:0', 'b/model/centralized_qf_0/fc0/kernel:0', 'b/model/centralized_qf_0/fc1/bias:0', 'b/model/centralized_qf_0/fc1/kernel:0', 'b/model/centralized_qf_0/qf_output/bias:0', 'b/model/centralized_qf_0/qf_output/kernel:0', 'b/model/centralized_qf_1/fc0/bias:0', 'b/model/centralized_qf_1/fc0/kernel:0', 'b/model/centralized_qf_1/fc1/bias:0', 'b/model/centralized_qf_1/fc1/kernel:0', 'b/model/centralized_qf_1/qf_output/bias:0', 'b/model/centralized_qf_1/qf_output/kernel:0', 'b/model/pi/fc0/bias:0', 'b/model/pi/fc0/kernel:0', 'b/model/pi/fc1/bias:0', 'b/model/pi/fc1/kernel:0', 'b/model/pi/output/bias:0', 'b/model/pi/output/kernel:0', ] target_var_list = [ 'a/target/centralized_qf_0/fc0/bias:0', 'a/target/centralized_qf_0/fc0/kernel:0', 'a/target/centralized_qf_0/fc1/bias:0', 'a/target/centralized_qf_0/fc1/kernel:0', 'a/target/centralized_qf_0/qf_output/bias:0', 'a/target/centralized_qf_0/qf_output/kernel:0', 'a/target/centralized_qf_1/fc0/bias:0', 'a/target/centralized_qf_1/fc0/kernel:0', 'a/target/centralized_qf_1/fc1/bias:0', 'a/target/centralized_qf_1/fc1/kernel:0', 'a/target/centralized_qf_1/qf_output/bias:0', 'a/target/centralized_qf_1/qf_output/kernel:0', 'a/target/pi/fc0/bias:0', 'a/target/pi/fc0/kernel:0', 'a/target/pi/fc1/bias:0', 'a/target/pi/fc1/kernel:0', 'a/target/pi/output/bias:0', 'a/target/pi/output/kernel:0', 'b/target/centralized_qf_0/fc0/bias:0', 'b/target/centralized_qf_0/fc0/kernel:0', 'b/target/centralized_qf_0/fc1/bias:0', 'b/target/centralized_qf_0/fc1/kernel:0', 'b/target/centralized_qf_0/qf_output/bias:0', 'b/target/centralized_qf_0/qf_output/kernel:0', 'b/target/centralized_qf_1/fc0/bias:0', 'b/target/centralized_qf_1/fc0/kernel:0', 'b/target/centralized_qf_1/fc1/bias:0', 'b/target/centralized_qf_1/fc1/kernel:0', 'b/target/centralized_qf_1/qf_output/bias:0', 'b/target/centralized_qf_1/qf_output/kernel:0', 'b/target/pi/fc0/bias:0', 'b/target/pi/fc0/kernel:0', 'b/target/pi/fc1/bias:0', 'b/target/pi/fc1/kernel:0', 'b/target/pi/output/bias:0', 'b/target/pi/output/kernel:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_initialize_4(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = True policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'model/centralized_qf_0/fc0/bias:0', 'model/centralized_qf_0/fc0/kernel:0', 'model/centralized_qf_0/fc1/bias:0', 'model/centralized_qf_0/fc1/kernel:0', 'model/centralized_qf_0/qf_output/bias:0', 'model/centralized_qf_0/qf_output/kernel:0', 'model/centralized_qf_1/fc0/bias:0', 'model/centralized_qf_1/fc0/kernel:0', 'model/centralized_qf_1/fc1/bias:0', 'model/centralized_qf_1/fc1/kernel:0', 'model/centralized_qf_1/qf_output/bias:0', 'model/centralized_qf_1/qf_output/kernel:0', 'model/pi/fc0/bias:0', 'model/pi/fc0/kernel:0', 'model/pi/fc1/bias:0', 'model/pi/fc1/kernel:0', 'model/pi/output/bias:0', 'model/pi/output/kernel:0', ] target_var_list = [ 'target/centralized_qf_0/fc0/bias:0', 'target/centralized_qf_0/fc0/kernel:0', 'target/centralized_qf_0/fc1/bias:0', 'target/centralized_qf_0/fc1/kernel:0', 'target/centralized_qf_0/qf_output/bias:0', 'target/centralized_qf_0/qf_output/kernel:0', 'target/centralized_qf_1/fc0/bias:0', 'target/centralized_qf_1/fc0/kernel:0', 'target/centralized_qf_1/fc1/bias:0', 'target/centralized_qf_1/fc1/kernel:0', 'target/centralized_qf_1/qf_output/bias:0', 'target/centralized_qf_1/qf_output/kernel:0', 'target/pi/fc0/bias:0', 'target/pi/fc0/kernel:0', 'target/pi/fc1/bias:0', 'target/pi/fc1/kernel:0', 'target/pi/output/bias:0', 'target/pi/output/kernel:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_store_transition_1(self): """Check the functionality of the store_transition() method. This test checks for the following cases: 1. maddpg = True, shared = False 2. maddpg = True, shared = True """ policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = True policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() for i in range(4): action_0 = np.array([i for _ in range(1)]) action_1 = np.array([i for _ in range(2)]) context0_0 = np.array([i for _ in range(3)]) context0_1 = np.array([i for _ in range(4)]) obs0_0 = np.array([i for _ in range(5)]) obs0_1 = np.array([i for _ in range(6)]) reward = i obs1_0 = np.array([i+1 for _ in range(5)]) obs1_1 = np.array([i+1 for _ in range(6)]) context1_0 = np.array([i for _ in range(3)]) context1_1 = np.array([i for _ in range(4)]) done = False is_final_step = False evaluate = False all_obs0 = np.array([i for _ in range(18)]) all_obs1 = np.array([i+1 for _ in range(18)]) policy.store_transition( obs0={"a": obs0_0, "b": obs0_1}, context0={"a": context0_0, "b": context0_1}, action={"a": action_0, "b": action_1}, reward={"a": reward, "b": reward}, obs1={"a": obs1_0, "b": obs1_1}, context1={"a": context1_0, "b": context1_1}, done=done, is_final_step=is_final_step, evaluate=evaluate, env_num=0, all_obs0=all_obs0, all_obs1=all_obs1, ) # =================================================================== # # test for agent a # # =================================================================== # obs_t = policy.replay_buffer["a"].obs_t action_t = policy.replay_buffer["a"].action_t reward = policy.replay_buffer["a"].reward done = policy.replay_buffer["a"].done all_obs_t = policy.replay_buffer["a"].all_obs_t # check the various attributes np.testing.assert_almost_equal( obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3.]]) ) np.testing.assert_almost_equal( action_t[:4, :], np.array([[0.], [1.], [2.], [3.]]) ) np.testing.assert_almost_equal( reward[:4], np.array([0., 1., 2., 3.]) ) np.testing.assert_almost_equal( done[:4], [0., 0., 0., 0.] ) np.testing.assert_almost_equal( all_obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]]) ) # =================================================================== # # test for agent b # # =================================================================== # obs_t = policy.replay_buffer["b"].obs_t action_t = policy.replay_buffer["b"].action_t reward = policy.replay_buffer["b"].reward done = policy.replay_buffer["b"].done all_obs_t = policy.replay_buffer["b"].all_obs_t # check the various attributes np.testing.assert_almost_equal( obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]]) ) np.testing.assert_almost_equal( action_t[:4, :], np.array([[0., 0.], [1., 1.], [2., 2.], [3., 3.]]) ) np.testing.assert_almost_equal( reward[:4], np.array([0., 1., 2., 3.]) ) np.testing.assert_almost_equal( done[:4], [0., 0., 0., 0.] ) np.testing.assert_almost_equal( all_obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]]) ) def test_store_transition_2(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = True policy_params["n_agents"] = 2 policy = TD3MultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() for i in range(4): obs0 = np.array([i for _ in range(2)]) context0 = np.array([i for _ in range(3)]) action = np.array([i for _ in range(1)]) reward = i obs1 = np.array([i+1 for _ in range(2)]) context1 = np.array([i for _ in range(3)]) is_final_step = False evaluate = False all_obs0 = np.array([i for _ in range(10)]) all_obs1 = np.array([i+1 for _ in range(10)]) policy.store_transition( obs0={"a": obs0, "b": obs0 + 1}, context0={"a": context0, "b": context0 + 1}, action={"a": action, "b": action + 1}, reward={"a": reward, "b": reward + 1}, obs1={"a": obs1, "b": obs1 + 1}, context1={"a": context1, "b": context1 + 1}, done=0., is_final_step=is_final_step, evaluate=evaluate, env_num=0, all_obs0=all_obs0, all_obs1=all_obs1, ) # extract the attributes obs_t = policy.replay_buffer.obs_t action_t = policy.replay_buffer.action reward = policy.replay_buffer.reward done = policy.replay_buffer.done all_obs_t = policy.replay_buffer.all_obs_t # check the various attributes np.testing.assert_almost_equal( obs_t[0][:4, :], np.array([[0., 0., 0., 0., 0.], [1., 1., 1., 1., 1.], [2., 2., 2., 2., 2.], [3., 3., 3., 3., 3.]]) ) np.testing.assert_almost_equal( action_t[0][:4, :], np.array([[0.], [1.], [2.], [3.]]) ) np.testing.assert_almost_equal( reward[:4], np.array([0., 1., 2., 3.]) ) np.testing.assert_almost_equal( done[:4], [0., 0., 0., 0.] ) np.testing.assert_almost_equal( all_obs_t[:4, :], np.array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [1., 1., 1., 1., 1., 1., 1., 1., 1., 1.], [2., 2., 2., 2., 2., 2., 2., 2., 2., 2.], [3., 3., 3., 3., 3., 3., 3., 3., 3., 3.]]) ) class TestSACMultiFeedForwardPolicy(unittest.TestCase): """Test MultiFeedForwardPolicy in hbaselines/multi_fcnet/sac.py.""" def setUp(self): self.sess = tf.compat.v1.Session() # Shared policy parameters self.policy_params_shared = { 'sess': self.sess, 'ac_space': Box(low=-1, high=1, shape=(1,)), 'co_space': Box(low=-2, high=2, shape=(2,)), 'ob_space': Box(low=-3, high=3, shape=(3,)), 'all_ob_space': Box(low=-3, high=3, shape=(10,)), 'layers': [256, 256], 'verbose': 0, } self.policy_params_shared.update(SAC_PARAMS.copy()) self.policy_params_shared.update(MULTI_FEEDFORWARD_PARAMS.copy()) self.policy_params_shared['shared'] = True # Independent policy parameters self.policy_params_independent = { 'sess': self.sess, 'ac_space': { 'a': Box(low=-1, high=1, shape=(1,)), 'b': Box(low=-2, high=2, shape=(2,)), }, 'co_space': { 'a': Box(low=-3, high=3, shape=(3,)), 'b': Box(low=-4, high=4, shape=(4,)), }, 'ob_space': { 'a': Box(low=-5, high=5, shape=(5,)), 'b': Box(low=-6, high=6, shape=(6,)), }, 'all_ob_space': Box(low=-6, high=6, shape=(18,)), 'layers': [256, 256], 'verbose': 0, } self.policy_params_independent.update(SAC_PARAMS.copy()) self.policy_params_independent.update(MULTI_FEEDFORWARD_PARAMS.copy()) self.policy_params_independent['shared'] = False def tearDown(self): self.sess.close() del self.policy_params_shared del self.policy_params_independent # Clear the graph. tf.compat.v1.reset_default_graph() def test_init_1(self): """Check the functionality of the __init__() method. This method is tested for the following features: 1. The proper structure graph was generated. 2. All input placeholders are correct. This is done for the following cases: 1. maddpg = False, shared = False 2. maddpg = False, shared = True 3. maddpg = True, shared = False 4. maddpg = True, shared = True """ policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = False policy = SACMultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['a/model/log_alpha:0', 'a/model/pi/fc0/bias:0', 'a/model/pi/fc0/kernel:0', 'a/model/pi/fc1/bias:0', 'a/model/pi/fc1/kernel:0', 'a/model/pi/log_std/bias:0', 'a/model/pi/log_std/kernel:0', 'a/model/pi/mean/bias:0', 'a/model/pi/mean/kernel:0', 'a/model/value_fns/qf1/fc0/bias:0', 'a/model/value_fns/qf1/fc0/kernel:0', 'a/model/value_fns/qf1/fc1/bias:0', 'a/model/value_fns/qf1/fc1/kernel:0', 'a/model/value_fns/qf1/qf_output/bias:0', 'a/model/value_fns/qf1/qf_output/kernel:0', 'a/model/value_fns/qf2/fc0/bias:0', 'a/model/value_fns/qf2/fc0/kernel:0', 'a/model/value_fns/qf2/fc1/bias:0', 'a/model/value_fns/qf2/fc1/kernel:0', 'a/model/value_fns/qf2/qf_output/bias:0', 'a/model/value_fns/qf2/qf_output/kernel:0', 'a/model/value_fns/vf/fc0/bias:0', 'a/model/value_fns/vf/fc0/kernel:0', 'a/model/value_fns/vf/fc1/bias:0', 'a/model/value_fns/vf/fc1/kernel:0', 'a/model/value_fns/vf/vf_output/bias:0', 'a/model/value_fns/vf/vf_output/kernel:0', 'a/target/value_fns/vf/fc0/bias:0', 'a/target/value_fns/vf/fc0/kernel:0', 'a/target/value_fns/vf/fc1/bias:0', 'a/target/value_fns/vf/fc1/kernel:0', 'a/target/value_fns/vf/vf_output/bias:0', 'a/target/value_fns/vf/vf_output/kernel:0', 'b/model/log_alpha:0', 'b/model/pi/fc0/bias:0', 'b/model/pi/fc0/kernel:0', 'b/model/pi/fc1/bias:0', 'b/model/pi/fc1/kernel:0', 'b/model/pi/log_std/bias:0', 'b/model/pi/log_std/kernel:0', 'b/model/pi/mean/bias:0', 'b/model/pi/mean/kernel:0', 'b/model/value_fns/qf1/fc0/bias:0', 'b/model/value_fns/qf1/fc0/kernel:0', 'b/model/value_fns/qf1/fc1/bias:0', 'b/model/value_fns/qf1/fc1/kernel:0', 'b/model/value_fns/qf1/qf_output/bias:0', 'b/model/value_fns/qf1/qf_output/kernel:0', 'b/model/value_fns/qf2/fc0/bias:0', 'b/model/value_fns/qf2/fc0/kernel:0', 'b/model/value_fns/qf2/fc1/bias:0', 'b/model/value_fns/qf2/fc1/kernel:0', 'b/model/value_fns/qf2/qf_output/bias:0', 'b/model/value_fns/qf2/qf_output/kernel:0', 'b/model/value_fns/vf/fc0/bias:0', 'b/model/value_fns/vf/fc0/kernel:0', 'b/model/value_fns/vf/fc1/bias:0', 'b/model/value_fns/vf/fc1/kernel:0', 'b/model/value_fns/vf/vf_output/bias:0', 'b/model/value_fns/vf/vf_output/kernel:0', 'b/target/value_fns/vf/fc0/bias:0', 'b/target/value_fns/vf/fc0/kernel:0', 'b/target/value_fns/vf/fc1/bias:0', 'b/target/value_fns/vf/fc1/kernel:0', 'b/target/value_fns/vf/vf_output/bias:0', 'b/target/value_fns/vf/vf_output/kernel:0'] ) # Check observation/action/context spaces of the agents self.assertEqual(policy.agents['a'].ac_space, self.policy_params_independent['ac_space']['a']) self.assertEqual(policy.agents['a'].ob_space, self.policy_params_independent['ob_space']['a']) self.assertEqual(policy.agents['a'].co_space, self.policy_params_independent['co_space']['a']) self.assertEqual(policy.agents['b'].ac_space, self.policy_params_independent['ac_space']['b']) self.assertEqual(policy.agents['b'].ob_space, self.policy_params_independent['ob_space']['b']) self.assertEqual(policy.agents['b'].co_space, self.policy_params_independent['co_space']['b']) # Check the instantiation of the class attributes. self.assertTrue(not policy.shared) self.assertTrue(not policy.maddpg) def test_init_2(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = False policy = SACMultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['model/log_alpha:0', 'model/pi/fc0/bias:0', 'model/pi/fc0/kernel:0', 'model/pi/fc1/bias:0', 'model/pi/fc1/kernel:0', 'model/pi/log_std/bias:0', 'model/pi/log_std/kernel:0', 'model/pi/mean/bias:0', 'model/pi/mean/kernel:0', 'model/value_fns/qf1/fc0/bias:0', 'model/value_fns/qf1/fc0/kernel:0', 'model/value_fns/qf1/fc1/bias:0', 'model/value_fns/qf1/fc1/kernel:0', 'model/value_fns/qf1/qf_output/bias:0', 'model/value_fns/qf1/qf_output/kernel:0', 'model/value_fns/qf2/fc0/bias:0', 'model/value_fns/qf2/fc0/kernel:0', 'model/value_fns/qf2/fc1/bias:0', 'model/value_fns/qf2/fc1/kernel:0', 'model/value_fns/qf2/qf_output/bias:0', 'model/value_fns/qf2/qf_output/kernel:0', 'model/value_fns/vf/fc0/bias:0', 'model/value_fns/vf/fc0/kernel:0', 'model/value_fns/vf/fc1/bias:0', 'model/value_fns/vf/fc1/kernel:0', 'model/value_fns/vf/vf_output/bias:0', 'model/value_fns/vf/vf_output/kernel:0', 'target/value_fns/vf/fc0/bias:0', 'target/value_fns/vf/fc0/kernel:0', 'target/value_fns/vf/fc1/bias:0', 'target/value_fns/vf/fc1/kernel:0', 'target/value_fns/vf/vf_output/bias:0', 'target/value_fns/vf/vf_output/kernel:0'] ) # Check observation/action/context spaces of the agents self.assertEqual(policy.agents['policy'].ac_space, self.policy_params_shared['ac_space']) self.assertEqual(policy.agents['policy'].ob_space, self.policy_params_shared['ob_space']) self.assertEqual(policy.agents['policy'].co_space, self.policy_params_shared['co_space']) # Check the instantiation of the class attributes. self.assertTrue(policy.shared) self.assertTrue(not policy.maddpg) def test_init_3(self): policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = True policy = SACMultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['a/model/centralized_value_fns/qf1/fc0/bias:0', 'a/model/centralized_value_fns/qf1/fc0/kernel:0', 'a/model/centralized_value_fns/qf1/fc1/bias:0', 'a/model/centralized_value_fns/qf1/fc1/kernel:0', 'a/model/centralized_value_fns/qf1/qf_output/bias:0', 'a/model/centralized_value_fns/qf1/qf_output/kernel:0', 'a/model/centralized_value_fns/qf2/fc0/bias:0', 'a/model/centralized_value_fns/qf2/fc0/kernel:0', 'a/model/centralized_value_fns/qf2/fc1/bias:0', 'a/model/centralized_value_fns/qf2/fc1/kernel:0', 'a/model/centralized_value_fns/qf2/qf_output/bias:0', 'a/model/centralized_value_fns/qf2/qf_output/kernel:0', 'a/model/centralized_value_fns/vf/fc0/bias:0', 'a/model/centralized_value_fns/vf/fc0/kernel:0', 'a/model/centralized_value_fns/vf/fc1/bias:0', 'a/model/centralized_value_fns/vf/fc1/kernel:0', 'a/model/centralized_value_fns/vf/vf_output/bias:0', 'a/model/centralized_value_fns/vf/vf_output/kernel:0', 'a/model/log_alpha:0', 'a/model/pi/fc0/bias:0', 'a/model/pi/fc0/kernel:0', 'a/model/pi/fc1/bias:0', 'a/model/pi/fc1/kernel:0', 'a/model/pi/log_std/bias:0', 'a/model/pi/log_std/kernel:0', 'a/model/pi/mean/bias:0', 'a/model/pi/mean/kernel:0', 'a/target/centralized_value_fns/vf/fc0/bias:0', 'a/target/centralized_value_fns/vf/fc0/kernel:0', 'a/target/centralized_value_fns/vf/fc1/bias:0', 'a/target/centralized_value_fns/vf/fc1/kernel:0', 'a/target/centralized_value_fns/vf/vf_output/bias:0', 'a/target/centralized_value_fns/vf/vf_output/kernel:0', 'b/model/centralized_value_fns/qf1/fc0/bias:0', 'b/model/centralized_value_fns/qf1/fc0/kernel:0', 'b/model/centralized_value_fns/qf1/fc1/bias:0', 'b/model/centralized_value_fns/qf1/fc1/kernel:0', 'b/model/centralized_value_fns/qf1/qf_output/bias:0', 'b/model/centralized_value_fns/qf1/qf_output/kernel:0', 'b/model/centralized_value_fns/qf2/fc0/bias:0', 'b/model/centralized_value_fns/qf2/fc0/kernel:0', 'b/model/centralized_value_fns/qf2/fc1/bias:0', 'b/model/centralized_value_fns/qf2/fc1/kernel:0', 'b/model/centralized_value_fns/qf2/qf_output/bias:0', 'b/model/centralized_value_fns/qf2/qf_output/kernel:0', 'b/model/centralized_value_fns/vf/fc0/bias:0', 'b/model/centralized_value_fns/vf/fc0/kernel:0', 'b/model/centralized_value_fns/vf/fc1/bias:0', 'b/model/centralized_value_fns/vf/fc1/kernel:0', 'b/model/centralized_value_fns/vf/vf_output/bias:0', 'b/model/centralized_value_fns/vf/vf_output/kernel:0', 'b/model/log_alpha:0', 'b/model/pi/fc0/bias:0', 'b/model/pi/fc0/kernel:0', 'b/model/pi/fc1/bias:0', 'b/model/pi/fc1/kernel:0', 'b/model/pi/log_std/bias:0', 'b/model/pi/log_std/kernel:0', 'b/model/pi/mean/bias:0', 'b/model/pi/mean/kernel:0', 'b/target/centralized_value_fns/vf/fc0/bias:0', 'b/target/centralized_value_fns/vf/fc0/kernel:0', 'b/target/centralized_value_fns/vf/fc1/bias:0', 'b/target/centralized_value_fns/vf/fc1/kernel:0', 'b/target/centralized_value_fns/vf/vf_output/bias:0', 'b/target/centralized_value_fns/vf/vf_output/kernel:0'] ) # Check observation/action/context spaces of the agents for key in policy.ac_space.keys(): self.assertEqual(int(policy.all_obs_ph[key].shape[-1]), int(policy.all_ob_space.shape[0])) self.assertEqual(int(policy.all_obs1_ph[key].shape[-1]), int(policy.all_ob_space.shape[0])) self.assertEqual(int(policy.all_action_ph[key].shape[-1]), sum(policy.ac_space[key].shape[0] for key in policy.ac_space.keys())) self.assertEqual(int(policy.action_ph[key].shape[-1]), int(policy.ac_space[key].shape[0])) self.assertEqual(int(policy.obs_ph[key].shape[-1]), int(policy.ob_space[key].shape[0] + policy.co_space[key].shape[0])) self.assertEqual(int(policy.obs1_ph[key].shape[-1]), int(policy.ob_space[key].shape[0] + policy.co_space[key].shape[0])) # Check the instantiation of the class attributes. self.assertTrue(not policy.shared) self.assertTrue(policy.maddpg) def test_init_4(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = True policy = SACMultiFeedForwardPolicy(**policy_params) self.assertListEqual( sorted([var.name for var in get_trainable_vars()]), ['model/centralized_value_fns/qf1/fc0/bias:0', 'model/centralized_value_fns/qf1/fc0/kernel:0', 'model/centralized_value_fns/qf1/fc1/bias:0', 'model/centralized_value_fns/qf1/fc1/kernel:0', 'model/centralized_value_fns/qf1/qf_output/bias:0', 'model/centralized_value_fns/qf1/qf_output/kernel:0', 'model/centralized_value_fns/qf2/fc0/bias:0', 'model/centralized_value_fns/qf2/fc0/kernel:0', 'model/centralized_value_fns/qf2/fc1/bias:0', 'model/centralized_value_fns/qf2/fc1/kernel:0', 'model/centralized_value_fns/qf2/qf_output/bias:0', 'model/centralized_value_fns/qf2/qf_output/kernel:0', 'model/centralized_value_fns/vf/fc0/bias:0', 'model/centralized_value_fns/vf/fc0/kernel:0', 'model/centralized_value_fns/vf/fc1/bias:0', 'model/centralized_value_fns/vf/fc1/kernel:0', 'model/centralized_value_fns/vf/vf_output/bias:0', 'model/centralized_value_fns/vf/vf_output/kernel:0', 'model/log_alpha:0', 'model/pi/fc0/bias:0', 'model/pi/fc0/kernel:0', 'model/pi/fc1/bias:0', 'model/pi/fc1/kernel:0', 'model/pi/log_std/bias:0', 'model/pi/log_std/kernel:0', 'model/pi/mean/bias:0', 'model/pi/mean/kernel:0', 'target/centralized_value_fns/vf/fc0/bias:0', 'target/centralized_value_fns/vf/fc0/kernel:0', 'target/centralized_value_fns/vf/fc1/bias:0', 'target/centralized_value_fns/vf/fc1/kernel:0', 'target/centralized_value_fns/vf/vf_output/bias:0', 'target/centralized_value_fns/vf/vf_output/kernel:0'] ) # Check observation/action/context spaces of the agents self.assertEqual(int(policy.all_obs_ph.shape[-1]), policy.all_ob_space.shape[0]) self.assertEqual(int(policy.all_obs1_ph.shape[-1]), policy.all_ob_space.shape[0]) self.assertEqual(int(policy.all_action_ph.shape[-1]), policy.n_agents * policy.ac_space.shape[0]) self.assertEqual(int(policy.action_ph[0].shape[-1]), policy.ac_space.shape[0]) self.assertEqual(int(policy.obs_ph[0].shape[-1]), int(policy.ob_space.shape[0] + policy.co_space.shape[0])) self.assertEqual(int(policy.obs1_ph[0].shape[-1]), int(policy.ob_space.shape[0] + policy.co_space.shape[0])) # Check the instantiation of the class attributes. self.assertTrue(policy.shared) self.assertTrue(policy.maddpg) def test_initialize_1(self): """Check the functionality of the initialize() method. This test validates that the target variables are properly initialized when initialize is called. This is done for the following cases: 1. maddpg = False, shared = False 2. maddpg = False, shared = True 3. maddpg = True, shared = False 4. maddpg = True, shared = True """ policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = False policy = SACMultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'a/model/value_fns/vf/fc0/kernel:0', 'a/model/value_fns/vf/fc0/bias:0', 'a/model/value_fns/vf/fc1/kernel:0', 'a/model/value_fns/vf/fc1/bias:0', 'a/model/value_fns/vf/vf_output/kernel:0', 'a/model/value_fns/vf/vf_output/bias:0', 'b/model/value_fns/vf/fc0/kernel:0', 'b/model/value_fns/vf/fc0/bias:0', 'b/model/value_fns/vf/fc1/kernel:0', 'b/model/value_fns/vf/fc1/bias:0', 'b/model/value_fns/vf/vf_output/kernel:0', 'b/model/value_fns/vf/vf_output/bias:0', ] target_var_list = [ 'a/target/value_fns/vf/fc0/kernel:0', 'a/target/value_fns/vf/fc0/bias:0', 'a/target/value_fns/vf/fc1/kernel:0', 'a/target/value_fns/vf/fc1/bias:0', 'a/target/value_fns/vf/vf_output/kernel:0', 'a/target/value_fns/vf/vf_output/bias:0', 'b/target/value_fns/vf/fc0/kernel:0', 'b/target/value_fns/vf/fc0/bias:0', 'b/target/value_fns/vf/fc1/kernel:0', 'b/target/value_fns/vf/fc1/bias:0', 'b/target/value_fns/vf/vf_output/kernel:0', 'b/target/value_fns/vf/vf_output/bias:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_initialize_2(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = False policy = SACMultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'model/value_fns/vf/fc0/kernel:0', 'model/value_fns/vf/fc0/bias:0', 'model/value_fns/vf/fc1/kernel:0', 'model/value_fns/vf/fc1/bias:0', 'model/value_fns/vf/vf_output/kernel:0', 'model/value_fns/vf/vf_output/bias:0', ] target_var_list = [ 'target/value_fns/vf/fc0/kernel:0', 'target/value_fns/vf/fc0/bias:0', 'target/value_fns/vf/fc1/kernel:0', 'target/value_fns/vf/fc1/bias:0', 'target/value_fns/vf/vf_output/kernel:0', 'target/value_fns/vf/vf_output/bias:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_initialize_3(self): policy_params = self.policy_params_independent.copy() policy_params["maddpg"] = True policy = SACMultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'a/model/centralized_value_fns/vf/fc0/kernel:0', 'a/model/centralized_value_fns/vf/fc0/bias:0', 'a/model/centralized_value_fns/vf/fc1/kernel:0', 'a/model/centralized_value_fns/vf/fc1/bias:0', 'a/model/centralized_value_fns/vf/vf_output/kernel:0', 'a/model/centralized_value_fns/vf/vf_output/bias:0', 'b/model/centralized_value_fns/vf/fc0/kernel:0', 'b/model/centralized_value_fns/vf/fc0/bias:0', 'b/model/centralized_value_fns/vf/fc1/kernel:0', 'b/model/centralized_value_fns/vf/fc1/bias:0', 'b/model/centralized_value_fns/vf/vf_output/kernel:0', 'b/model/centralized_value_fns/vf/vf_output/bias:0', ] target_var_list = [ 'a/target/centralized_value_fns/vf/fc0/kernel:0', 'a/target/centralized_value_fns/vf/fc0/bias:0', 'a/target/centralized_value_fns/vf/fc1/kernel:0', 'a/target/centralized_value_fns/vf/fc1/bias:0', 'a/target/centralized_value_fns/vf/vf_output/kernel:0', 'a/target/centralized_value_fns/vf/vf_output/bias:0', 'b/target/centralized_value_fns/vf/fc0/kernel:0', 'b/target/centralized_value_fns/vf/fc0/bias:0', 'b/target/centralized_value_fns/vf/fc1/kernel:0', 'b/target/centralized_value_fns/vf/fc1/bias:0', 'b/target/centralized_value_fns/vf/vf_output/kernel:0', 'b/target/centralized_value_fns/vf/vf_output/bias:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) def test_initialize_4(self): policy_params = self.policy_params_shared.copy() policy_params["maddpg"] = True policy = SACMultiFeedForwardPolicy(**policy_params) # Initialize the variables of the policy. policy.sess.run(tf.compat.v1.global_variables_initializer()) # Run the initialize method. policy.initialize() model_var_list = [ 'model/centralized_value_fns/vf/fc0/bias:0', 'model/centralized_value_fns/vf/fc0/kernel:0', 'model/centralized_value_fns/vf/fc1/bias:0', 'model/centralized_value_fns/vf/fc1/kernel:0', 'model/centralized_value_fns/vf/vf_output/bias:0', 'model/centralized_value_fns/vf/vf_output/kernel:0', ] target_var_list = [ 'target/centralized_value_fns/vf/fc0/bias:0', 'target/centralized_value_fns/vf/fc0/kernel:0', 'target/centralized_value_fns/vf/fc1/bias:0', 'target/centralized_value_fns/vf/fc1/kernel:0', 'target/centralized_value_fns/vf/vf_output/bias:0', 'target/centralized_value_fns/vf/vf_output/kernel:0', ] for model, target in zip(model_var_list, target_var_list): with tf.compat.v1.variable_scope( tf.compat.v1.get_variable_scope(), reuse=True): model_val = policy.sess.run(model) target_val = policy.sess.run(target) np.testing.assert_almost_equal(model_val, target_val) if __name__ == '__main__': unittest.main()

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Python

dlkit/abstract_osid/mapping/queries.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/abstract_osid/mapping/queries.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/abstract_osid/mapping/queries.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""Implementations of mapping abstract base class queries.""" # pylint: disable=invalid-name # Method names comply with OSID specification. # pylint: disable=no-init # Abstract classes do not define __init__. # pylint: disable=too-few-public-methods # Some interfaces are specified as 'markers' and include no methods. # pylint: disable=too-many-public-methods # Number of methods are defined in specification # pylint: disable=too-many-ancestors # Inheritance defined in specification # pylint: disable=too-many-arguments # Argument signature defined in specification. # pylint: disable=duplicate-code # All apparent duplicates have been inspected. They aren't. import abc class LocationQuery: """This is the query for searching locations. Each method match specifies an ``AND`` term while multiple invocations of the same method produce a nested ``OR``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def match_coordinate(self, coordinate, match): """Matches locations at the specified ``Coordinate``. :param coordinate: a coordinate :type coordinate: ``osid.mapping.Coordinate`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``coordinate`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def match_any_coordinate(self, match): """Matches locations that have any coordinate assignment. :param match: ``true`` to match locations with any coordinate, ``false`` to match locations with no coordinates :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_coordinate_terms(self): """Clears the coordinate query terms. *compliance: mandatory -- This method must be implemented.* """ pass coordinate_terms = abc.abstractproperty(fdel=clear_coordinate_terms) @abc.abstractmethod def match_contained_spatial_unit(self, spatial_unit, match): """Matches locations containing the specified ``SpatialUnit``. :param spatial_unit: a spatial unit :type spatial_unit: ``osid.mapping.SpatialUnit`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``spatial_unit`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_contained_spatial_unit_terms(self): """Clears the spatial unit terms. *compliance: mandatory -- This method must be implemented.* """ pass contained_spatial_unit_terms = abc.abstractproperty(fdel=clear_contained_spatial_unit_terms) @abc.abstractmethod def match_overlapping_spatial_unit(self, spatial_unit, match): """Matches locations overlapping with the specified ``SpatialUnit``. :param spatial_unit: a spatial unit :type spatial_unit: ``osid.mapping.SpatialUnit`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``spatial_unit`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_overlapping_spatial_unit_terms(self): """Clears the overlapping spatial unit terms. *compliance: mandatory -- This method must be implemented.* """ pass overlapping_spatial_unit_terms = abc.abstractproperty(fdel=clear_overlapping_spatial_unit_terms) @abc.abstractmethod def match_any_spatial_unit(self, match): """Matches locations that have any spatial unit assignment. :param match: ``true`` to match locations with any boundary, ``false`` to match locations with no boundaries :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_spatial_unit_terms(self): """Clears the spatial unit query terms. *compliance: mandatory -- This method must be implemented.* """ pass spatial_unit_terms = abc.abstractproperty(fdel=clear_spatial_unit_terms) @abc.abstractmethod def match_route_id(self, route_id, match): """Sets the route ``Id`` for this query to match locations along the given route. :param route_id: the route ``Id`` :type route_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``route_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_route_id_terms(self): """Clears the route ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass route_id_terms = abc.abstractproperty(fdel=clear_route_id_terms) @abc.abstractmethod def supports_route_query(self): """Tests if a ``RouteQuery`` is available. :return: ``true`` if a route query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_route_query(self): """Gets the query for a route. Multiple retrievals produce a nested ``OR`` term. :return: the route query :rtype: ``osid.mapping.route.RouteQuery`` :raise: ``Unimplemented`` -- ``supports_route_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_route_query()`` is ``true``.* """ return # osid.mapping.route.RouteQuery route_query = abc.abstractproperty(fget=get_route_query) @abc.abstractmethod def match_any_route(self, match): """Matches locations that are used on any route. :param match: ``true`` to match locations on any route, ``false`` to match locations on no routes :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_route_terms(self): """Clears the route query terms. *compliance: mandatory -- This method must be implemented.* """ pass route_terms = abc.abstractproperty(fdel=clear_route_terms) @abc.abstractmethod def match_path_id(self, path_id, match): """Sets the path ``Id`` for this query to match locations along the given path. :param path_id: the path ``Id`` :type path_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``path_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_path_id_terms(self): """Clears the path ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass path_id_terms = abc.abstractproperty(fdel=clear_path_id_terms) @abc.abstractmethod def supports_path_query(self): """Tests if a ``PathQuery`` is available. :return: ``true`` if a path query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_path_query(self): """Gets the query for a path. Multiple retrievals produce a nested ``OR`` term. :return: the path query :rtype: ``osid.mapping.path.PathQuery`` :raise: ``Unimplemented`` -- ``supports_path_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_path_query()`` is ``true``.* """ return # osid.mapping.path.PathQuery path_query = abc.abstractproperty(fget=get_path_query) @abc.abstractmethod def match_any_path(self, match): """Matches locations that exist along any path. :param match: ``true`` to match locations on any path, ``false`` to match locations on no path :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_path_terms(self): """Clears the path query terms. *compliance: mandatory -- This method must be implemented.* """ pass path_terms = abc.abstractproperty(fdel=clear_path_terms) @abc.abstractmethod def match_containing_location_id(self, location_id, match): """Sets the location ``Id`` for this query to match locations contained within the given location. :param location_id: a location ``Id`` :type location_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``location_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_containing_location_id_terms(self): """Clears the pcontaining location ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass containing_location_id_terms = abc.abstractproperty(fdel=clear_containing_location_id_terms) @abc.abstractmethod def supports_containing_location_query(self): """Tests if a ``LocationQuery`` is available. :return: ``true`` if a location query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_containing_location_query(self): """Gets the query for a parent location. Multiple retrievals produce a nested ``OR`` term. :return: the location query :rtype: ``osid.mapping.LocationQuery`` :raise: ``Unimplemented`` -- ``supports_containing_location_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_containing_location_query()`` is ``true``.* """ return # osid.mapping.LocationQuery containing_location_query = abc.abstractproperty(fget=get_containing_location_query) @abc.abstractmethod def match_any_containing_location(self, match): """Matches locations that have any ancestor. :param match: ``true`` to match locations with any parent location, ``false`` to match root locations :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_containing_location_terms(self): """Clears the containing location query terms. *compliance: mandatory -- This method must be implemented.* """ pass containing_location_terms = abc.abstractproperty(fdel=clear_containing_location_terms) @abc.abstractmethod def match_contained_location_id(self, location_id, match): """Sets the location ``Id`` for this query to match locations containing the given location. :param location_id: a location ``Id`` :type location_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``location_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_contained_location_id_terms(self): """Clears the contained location ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass contained_location_id_terms = abc.abstractproperty(fdel=clear_contained_location_id_terms) @abc.abstractmethod def supports_contained_location_query(self): """Tests if a ``LocationQuery`` is available. :return: ``true`` if a location query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_contained_location_query(self): """Gets the query for a contained location. Multiple retrievals produce a nested ``OR`` term. :return: the location query :rtype: ``osid.mapping.LocationQuery`` :raise: ``Unimplemented`` -- ``supports_contained_location_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_contained_location_query()`` is ``true``.* """ return # osid.mapping.LocationQuery contained_location_query = abc.abstractproperty(fget=get_contained_location_query) @abc.abstractmethod def match_any_contained_location(self, match): """Matches locations that have any children. :param match: ``true`` to match locations containing any other location, ``false`` to match empty locations :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_contained_location_terms(self): """Clears the contained location query terms. *compliance: mandatory -- This method must be implemented.* """ pass contained_location_terms = abc.abstractproperty(fdel=clear_contained_location_terms) @abc.abstractmethod def match_map_id(self, map_id, match): """Sets the map ``Id`` for this query. :param map_id: the map ``Id`` :type map_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``map_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_map_id_terms(self): """Clears the map ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass map_id_terms = abc.abstractproperty(fdel=clear_map_id_terms) @abc.abstractmethod def supports_map_query(self): """Tests if a ``MapQuery`` is available. :return: ``true`` if a map query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_map_query(self): """Gets the query for a map. Multiple retrievals produce a nested ``OR`` term. :return: the map query :rtype: ``osid.mapping.MapQuery`` :raise: ``Unimplemented`` -- ``supports_map_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_map_query()`` is ``true``.* """ return # osid.mapping.MapQuery map_query = abc.abstractproperty(fget=get_map_query) @abc.abstractmethod def clear_map_terms(self): """Clears the map query terms. *compliance: mandatory -- This method must be implemented.* """ pass map_terms = abc.abstractproperty(fdel=clear_map_terms) @abc.abstractmethod def get_location_query_record(self, location_record_type): """Gets the location query record corresponding to the given ``Location`` record ``Type``. Multiple record retrievals produce a nested ``OR`` term. :param location_record_type: a location record type :type location_record_type: ``osid.type.Type`` :return: the location query record :rtype: ``osid.mapping.records.LocationQueryRecord`` :raise: ``NullArgument`` -- ``location_record_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``Unsupported`` -- ``has_record_type(location_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.records.LocationQueryRecord class MapQuery: """This is the query for searching maps. Each method match specifies an ``AND`` term while multiple invocations of the same method produce a nested ``OR``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def match_location_id(self, location_id, match): """Sets the location ``Id`` for this query to match maps that have a related location. :param location_id: a location ``Id`` :type location_id: ``osid.id.Id`` :param match: ``true`` if a positive match, ``false`` for negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``location_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_location_id_terms(self): """Clears the location ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass location_id_terms = abc.abstractproperty(fdel=clear_location_id_terms) @abc.abstractmethod def supports_location_query(self): """Tests if a ``LocationQuery`` is available. :return: ``true`` if a location query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_location_query(self): """Gets the query for a location. Multiple retrievals produce a nested ``OR`` term. :return: the location query :rtype: ``osid.mapping.LocationQuery`` :raise: ``Unimplemented`` -- ``supports_location_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_location_query()`` is ``true``.* """ return # osid.mapping.LocationQuery location_query = abc.abstractproperty(fget=get_location_query) @abc.abstractmethod def match_any_location(self, match): """Matches maps that have any location. :param match: ``true`` to match maps with any location, ``false`` to match maps with no location :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_location_terms(self): """Clears the location query terms. *compliance: mandatory -- This method must be implemented.* """ pass location_terms = abc.abstractproperty(fdel=clear_location_terms) @abc.abstractmethod def match_path_id(self, path_id, match): """Sets the path ``Id`` for this query to match maps containing paths. :param path_id: the path ``Id`` :type path_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``path_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_path_id_terms(self): """Clears the path ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass path_id_terms = abc.abstractproperty(fdel=clear_path_id_terms) @abc.abstractmethod def supports_path_query(self): """Tests if a ``PathQuery`` is available. :return: ``true`` if a path query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_path_query(self): """Gets the query for a path. Multiple retrievals produce a nested ``OR`` term. :return: the path query :rtype: ``osid.mapping.path.PathQuery`` :raise: ``Unimplemented`` -- ``supports_path_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_path_query()`` is ``true``.* """ return # osid.mapping.path.PathQuery path_query = abc.abstractproperty(fget=get_path_query) @abc.abstractmethod def match_any_path(self, match): """Matches maps that have any path. :param match: ``true`` to match maps with any path, ``false`` to match maps with no path :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_path_terms(self): """Clears the path query terms. *compliance: mandatory -- This method must be implemented.* """ pass path_terms = abc.abstractproperty(fdel=clear_path_terms) @abc.abstractmethod def match_route_id(self, path_id, match): """Sets the path ``Id`` for this query to match maps containing paths. :param path_id: the path ``Id`` :type path_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for a negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``path_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_route_id_terms(self): """Clears the route ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass route_id_terms = abc.abstractproperty(fdel=clear_route_id_terms) @abc.abstractmethod def supports_route_query(self): """Tests if a ``RouteQuery`` is available. :return: ``true`` if a route query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_route_query(self): """Gets the query for a route. Multiple retrievals produce a nested ``OR`` term. :return: the route query :rtype: ``osid.mapping.route.RouteQuery`` :raise: ``Unimplemented`` -- ``supports_route_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_route_query()`` is ``true``.* """ return # osid.mapping.route.RouteQuery route_query = abc.abstractproperty(fget=get_route_query) @abc.abstractmethod def match_any_route(self, match): """Matches maps that have any route. :param match: ``true`` to match maps with any route, ``false`` to match maps with no route :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_route_terms(self): """Clears the route query terms. *compliance: mandatory -- This method must be implemented.* """ pass route_terms = abc.abstractproperty(fdel=clear_route_terms) @abc.abstractmethod def match_ancestor_map_id(self, map_id, match): """Sets the map ``Id`` for this query to match maps that have the specified map as an ancestor. :param map_id: a map ``Id`` :type map_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``map_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_ancestor_map_id_terms(self): """Clears the ancestor map ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass ancestor_map_id_terms = abc.abstractproperty(fdel=clear_ancestor_map_id_terms) @abc.abstractmethod def supports_ancestor_map_query(self): """Tests if a ``MapQuery`` is available. :return: ``true`` if a map query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_ancestor_map_query(self): """Gets the query for a map. Multiple retrievals produce a nested ``OR`` term. :return: the map query :rtype: ``osid.mapping.MapQuery`` :raise: ``Unimplemented`` -- ``supports_ancestor_map_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_ancestor_map_query()`` is ``true``.* """ return # osid.mapping.MapQuery ancestor_map_query = abc.abstractproperty(fget=get_ancestor_map_query) @abc.abstractmethod def match_any_ancestor_map(self, match): """Matches maps with any ancestor. :param match: ``true`` to match maps with any ancestor, ``false`` to match root maps :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_ancestor_map_terms(self): """Clears the ancestor map query terms. *compliance: mandatory -- This method must be implemented.* """ pass ancestor_map_terms = abc.abstractproperty(fdel=clear_ancestor_map_terms) @abc.abstractmethod def match_descendant_map_id(self, map_id, match): """Sets the map ``Id`` for this query to match maps that have the specified map as a descendant. :param map_id: a map ``Id`` :type map_id: ``osid.id.Id`` :param match: ``true`` for a positive match, ``false`` for negative match :type match: ``boolean`` :raise: ``NullArgument`` -- ``map_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_descendant_map_id_terms(self): """Clears the descendant map ``Id`` query terms. *compliance: mandatory -- This method must be implemented.* """ pass descendant_map_id_terms = abc.abstractproperty(fdel=clear_descendant_map_id_terms) @abc.abstractmethod def supports_descendant_map_query(self): """Tests if a ``MapQuery`` is available. :return: ``true`` if a map query is available, ``false`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_descendant_map_query(self): """Gets the query for a map. Multiple retrievals produce a nested ``OR`` term. :return: the map query :rtype: ``osid.mapping.MapQuery`` :raise: ``Unimplemented`` -- ``supports_descendant_map_query()`` is ``false`` *compliance: optional -- This method must be implemented if ``supports_descendant_map_query()`` is ``true``.* """ return # osid.mapping.MapQuery descendant_map_query = abc.abstractproperty(fget=get_descendant_map_query) @abc.abstractmethod def match_any_descendant_map(self, match): """Matches maps with any descendant. :param match: ``true`` to match maps with any descendant, ``false`` to match leaf maps :type match: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def clear_descendant_map_terms(self): """Clears the descendant map query terms. *compliance: mandatory -- This method must be implemented.* """ pass descendant_map_terms = abc.abstractproperty(fdel=clear_descendant_map_terms) @abc.abstractmethod def get_map_query_record(self, map_record_type): """Gets the map query record corresponding to the given ``Map`` record ``Type``. Multiple record retrievals produce a nested ``OR`` term. :param map_record_type: a map record type :type map_record_type: ``osid.type.Type`` :return: the map query record :rtype: ``osid.mapping.records.MapQueryRecord`` :raise: ``NullArgument`` -- ``map_record_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``Unsupported`` -- ``has_record_type(map_record_type)`` is ``false`` *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.records.MapQueryRecord

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9

42d9369c99af7adb8cfd02c0100c8ba5acd2c9f1

228

py

Python

solarforecast/__init__.py

arminalgln/solar

b23b0c1820f997c4ff1f99ffdb8a4ecc68007e5f

[ "MIT" ]

null

solarforecast/__init__.py

arminalgln/solar

b23b0c1820f997c4ff1f99ffdb8a4ecc68007e5f

[ "MIT" ]

null

solarforecast/__init__.py

arminalgln/solar

b23b0c1820f997c4ff1f99ffdb8a4ecc68007e5f

[ "MIT" ]

null

from .readingdata import FileInf from .readingdata import SolcastDataForecast from .forecastmodel import SolarF from .readingdata import EtapData from .readingdata import SolcastHistorical from .readingdata import OpenWeatherAPI

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py

Python

app/filterMarketData_test.py

kyoungd/material-stock-finder-app

60b4a274ddb304ae8257f6a53a0d91b65975b649

[ "MIT" ]

null

app/filterMarketData_test.py

kyoungd/material-stock-finder-app

60b4a274ddb304ae8257f6a53a0d91b65975b649

[ "MIT" ]

null

app/filterMarketData_test.py

kyoungd/material-stock-finder-app

60b4a274ddb304ae8257f6a53a0d91b65975b649

[ "MIT" ]

1

2022-03-26T06:50:59.000Z

from unittest import mock, TestCase, main import pandas as pd import random import datetime from util import RedisTimeFrame from dbase import MarketDataDb class TestMarketData(TestCase): def setUp(self): self.app = MarketDataDb() self.symbol = 'TEST01' def tearDown(self): pass def test_marketdatadb_01(self): # random number 0 to 100 data1 = [ {"t": "2022-05-11T12:54:00Z", "o": 60.99, "h": 60.99, "l": 60.99, "c": 60.99, "v": 300, "n": 2, "vw": 60.9901}, {"t": "2022-05-11T12:39:00Z", "o": 62.5, "h": 62.5, "l": 61.14, "c": 61.14, "v": 203, "n": 3, "vw": 61.806995}, {"t": "2022-05-10T20:49:00Z", "o": 63.14, "h": 63.14, "l": 63.14, "c": 63.14, "v": 738, "n": 3, "vw": 63.14}, {"t": "2022-05-10T20:37:00Z", "o": 63.14, "h": 63.14, "l": 63.14, "c": 63.14, "v": 367, "n": 12, "vw": 63.150981}, {"t": "2022-05-10T20:34:00Z", "o": 63.05, "h": 63.05, "l": 63.05, "c": 63.05, "v": 1870, "n": 1, "vw": 63.05}, {"t": "2022-05-10T20:01:00Z", "o": 63.05, "h": 63.05, "l": 63.05, "c": 63.05, "v": 166, "n": 1, "vw": 63.05}, {"t": "2022-05-10T20:00:00Z", "o": 63.05, "h": 63.05, "l": 63.05, "c": 63.05, "v": 86352, "n": 17, "vw": 63.05}, {"t": "2022-05-10T19:59:00Z", "o": 63.21, "h": 63.26, "l": 63.06, "c": 63.17, "v": 48768, "n": 577, "vw": 63.196629}, {"t": "2022-05-10T19:58:00Z", "o": 63.125, "h": 63.23, "l": 63.12, "c": 63.19, "v": 32905, "n": 434, "vw": 63.176757}, {"t": "2022-05-10T19:57:00Z", "o": 63.08, "h": 63.155, "l": 63.08, "c": 63.125, "v": 24075, "n": 335, "vw": 63.11993}, {"t": "2022-05-10T19:56:00Z", "o": 62.915, "h": 63.095, "l": 62.915, "c": 63.08, "v": 23586, "n": 356, "vw": 63.016562}, {"t": "2022-05-10T19:55:00Z", "o": 63.02, "h": 63.07, "l": 62.91, "c": 62.915, "v": 16345, "n": 236, "vw": 62.970845}, {"t": "2022-05-10T19:54:00Z", "o": 63.18, "h": 63.19, "l": 63.03, "c": 63.04, "v": 15894, "n": 304, "vw": 63.100413}, {"t": "2022-05-10T19:53:00Z", "o": 63.13, "h": 63.23, "l": 63.13, "c": 63.19, "v": 17371, "n": 256, "vw": 63.166113}, {"t": "2022-05-10T19:52:00Z", "o": 63.075, "h": 63.16, "l": 63.05, "c": 63.15, "v": 16097, "n": 230, "vw": 63.100952}, {"t": "2022-05-10T19:51:00Z", "o": 63.045, "h": 63.095, "l": 63.01, "c": 63.08, "v": 15041, "n": 217, "vw": 63.059537}, {"t": "2022-05-09T19:50:00Z", "o": 63.13, "h": 63.13, "l": 63, "c": 63.06, "v": 9846, "n": 157, "vw": 63.059741}, {"t": "2022-05-09T19:49:00Z", "o": 63.08, "h": 63.21, "l": 63.07, "c": 63.145, "v": 11489, "n": 188, "vw": 63.139188}, {"t": "2022-05-09T19:48:00Z", "o": 63.16, "h": 63.18, "l": 63.06, "c": 63.095, "v": 11551, "n": 181, "vw": 63.106101}, {"t": "2022-05-08T19:47:00Z", "o": 63.11, "h": 63.155, "l": 63.065, "c": 63.14, "v": 7863, "n": 118, "vw": 63.109396}, {"t": "2022-05-07T19:46:00Z", "o": 63.095, "h": 63.12, "l": 62.96, "c": 63.102, "v": 8571, "n": 143, "vw": 63.039032} ] data2 = self.app.MergeData(RedisTimeFrame.DAILY, data1) self.assertEqual(len(data2), 5) def test_marketdatadb_02(self): # random number 0 to 100 data = [ {"t": "2022-05-11T12:54:00Z", "o": 60.99, "h": 60.99, "l": 60.99, "c": 60.99, "v": 300, "n": 2, "vw": 60.9901}, {"t": "2022-05-11T12:39:00Z", "o": 62.5, "h": 62.5, "l": 61.14, "c": 61.14, "v": 203, "n": 3, "vw": 61.806995}, {"t": "2022-05-10T20:49:00Z", "o": 63.14, "h": 63.14, "l": 63.14, "c": 63.14, "v": 738, "n": 3, "vw": 63.14}, {"t": "2022-05-10T20:37:00Z", "o": 63.14, "h": 63.14, "l": 63.14, "c": 63.14, "v": 367, "n": 12, "vw": 63.150981}, {"t": "2022-05-10T20:34:00Z", "o": 63.05, "h": 63.05, "l": 63.05, "c": 63.05, "v": 1870, "n": 1, "vw": 63.05}, {"t": "2022-05-10T20:01:00Z", "o": 63.05, "h": 63.05, "l": 63.05, "c": 63.05, "v": 166, "n": 1, "vw": 63.05}, {"t": "2022-05-10T20:00:00Z", "o": 63.05, "h": 63.05, "l": 63.05, "c": 63.05, "v": 86352, "n": 17, "vw": 63.05}, {"t": "2022-05-10T19:59:00Z", "o": 63.21, "h": 63.26, "l": 63.06, "c": 63.17, "v": 48768, "n": 577, "vw": 63.196629}, {"t": "2022-05-10T19:58:00Z", "o": 63.125, "h": 63.23, "l": 63.12, "c": 63.19, "v": 32905, "n": 434, "vw": 63.176757}, {"t": "2022-05-10T19:57:00Z", "o": 63.08, "h": 63.155, "l": 63.08, "c": 63.125, "v": 24075, "n": 335, "vw": 63.11993}, {"t": "2022-05-10T19:56:00Z", "o": 62.915, "h": 63.095, "l": 62.915, "c": 63.08, "v": 23586, "n": 356, "vw": 63.016562}, {"t": "2022-05-10T19:55:00Z", "o": 63.02, "h": 63.07, "l": 62.91, "c": 62.915, "v": 16345, "n": 236, "vw": 62.970845}, {"t": "2022-05-10T19:54:00Z", "o": 63.18, "h": 63.19, "l": 63.03, "c": 63.04, "v": 15894, "n": 304, "vw": 63.100413}, {"t": "2022-05-10T19:53:00Z", "o": 63.13, "h": 63.23, "l": 63.13, "c": 63.19, "v": 17371, "n": 256, "vw": 63.166113}, {"t": "2022-05-10T19:52:00Z", "o": 63.075, "h": 63.16, "l": 63.05, "c": 63.15, "v": 16097, "n": 230, "vw": 63.100952}, {"t": "2022-05-10T19:51:00Z", "o": 63.045, "h": 63.095, "l": 63.01, "c": 63.08, "v": 15041, "n": 217, "vw": 63.059537}, {"t": "2022-05-09T19:50:00Z", "o": 63.13, "h": 63.13, "l": 63, "c": 63.06, "v": 9846, "n": 157, "vw": 63.059741}, {"t": "2022-05-09T19:49:00Z", "o": 63.08, "h": 63.21, "l": 63.07, "c": 63.145, "v": 11489, "n": 188, "vw": 63.139188}, {"t": "2022-05-09T19:48:00Z", "o": 63.16, "h": 63.18, "l": 63.06, "c": 63.095, "v": 11551, "n": 181, "vw": 63.106101}, {"t": "2022-05-08T19:47:00Z", "o": 63.11, "h": 63.155, "l": 63.065, "c": 63.14, "v": 7863, "n": 118, "vw": 63.109396}, {"t": "2022-05-07T19:46:00Z", "o": 63.095, "h": 63.12, "l": 62.96, "c": 63.102, "v": 8571, "n": 143, "vw": 63.039032} ]; datatype = 'stock' timeframe='1Day' result = self.app.WriteMarket(self.symbol, data, datatype, timeframe) self.assertTrue(result) isReadOk, values = self.app.ReadMarket(self.symbol, datatype, timeframe) self.assertTrue(isReadOk) rows = values[0] self.assertEqual(rows[2]['o'], 63.13) self.assertEqual(rows[0]['o'], 60.99)

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Python

docker/docker-lambda/python/Word2pdf/app/testdata.py

BigMountainTiger/aws-cdk-examples

e954a44544ee9921c305e460a4582fb6f6c09bc2

[ "MIT" ]

2

2021-05-12T10:05:45.000Z

2021-09-26T21:32:25.000Z

docker/docker-lambda/python/Word2pdf/app/testdata.py

BigMountainTiger/aws-cdk-examples

e954a44544ee9921c305e460a4582fb6f6c09bc2

[ "MIT" ]

6

2020-09-28T21:57:19.000Z

2022-03-15T22:21:18.000Z

docker/docker-lambda/python/Word2pdf/app/testdata.py

BigMountainTiger/aws-cdk-examples

e954a44544ee9921c305e460a4582fb6f6c09bc2

[ "MIT" ]

null

def get_test_data(): return { "contact": { "name": "Paul Kempa", "company": "Baltimore Steel Factory" }, "invoice": { "items": [ { "quantity": 12, "description": "Item description No.0", "unitprice": 12000.3, "linetotal": 20 }, { "quantity": 1290, "description": "Item description No.0", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.1", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.2", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.3", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.4", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.5", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.6", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.7", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.8", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.9", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.10", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.11", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.12", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.13", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.14", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.15", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.16", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.17", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.18", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.19", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.20", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.21", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.22", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.23", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.24", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.25", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.26", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.27", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.28", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.29", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.30", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.31", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.32", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.33", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.34", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.35", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.36", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.37", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.38", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.39", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.40", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.41", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.42", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.43", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.44", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.45", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.46", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.47", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.48", "unitprice": 12.3, "linetotal": 20000 }, { "quantity": 1290, "description": "Item description No.49", "unitprice": 12.3, "linetotal": 20000 } ], "total": 50000000.01 } }

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Python

presqt/targets/gitlab/tests/views/download/test_download.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

3

2019-01-29T19:45:25.000Z

2020-12-01T18:24:51.000Z

presqt/targets/gitlab/tests/views/download/test_download.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

419

2018-09-13T23:11:15.000Z

2021-09-22T17:49:00.000Z

presqt/targets/gitlab/tests/views/download/test_download.py

djordjetrajkovic/presqt

8424b61b1c5b8d29de74c7a333889d9e9eb7aee8

[ "Apache-2.0" ]

2

2020-04-10T08:19:41.000Z

2021-01-04T15:29:42.000Z

import io import json import shutil import zipfile from django.test import SimpleTestCase from rest_framework.reverse import reverse from rest_framework.test import APIClient from presqt.utilities import read_file from presqt.targets.utilities import shared_call_get_resource_zip from presqt.api_v1.utilities import hash_tokens from config.settings.base import GITLAB_TEST_USER_TOKEN class TestDownload(SimpleTestCase): """ Test the 'api_v1/downloads/<ticket_id>/' endpoint's GET method. Testing only GitLab download function. """ def setUp(self): self.client = APIClient() self.header = {'HTTP_PRESQT_SOURCE_TOKEN': GITLAB_TEST_USER_TOKEN, 'HTTP_PRESQT_EMAIL_OPT_IN': ''} self.target_name = 'gitlab' self.token = GITLAB_TEST_USER_TOKEN def test_success_download_private_repo(self): """ Return a 200 along with a zip file of the private project requested. """ resource_id = '17990894' shared_call_get_resource_zip(self, resource_id) url = reverse('job_status', kwargs={'action': 'download', 'response_format': 'zip'}) response = self.client.get(url, **self.header) # Verify the status code self.assertEqual(response.status_code, 200) zip_file = zipfile.ZipFile(io.BytesIO(response.content)) # Verify the name of the zip file self.assertEquals( response._headers['content-disposition'][1], 'attachment; filename={}_download_{}.zip'.format(self.target_name, resource_id)) # Verify content type self.assertEqual(response._headers['content-type'][1], 'application/zip') # Verify the number of resources in the zip is correct self.assertEqual(len(zip_file.namelist()), 14) # Verify the fixity file is empty as there was nothing to check. with zip_file.open('gitlab_download_{}/fixity_info.json'.format(resource_id)) as fixityfile: zip_json = json.load(fixityfile) self.assertEqual(len(zip_json), 2) with zip_file.open('gitlab_download_{}/PRESQT_FTS_METADATA.json'.format(resource_id)) as metadatafile: metadata = json.load(metadatafile) self.assertEqual(metadata['extra_metadata']['description'], "Welcome to the show, kid.") self.assertEqual(metadata['extra_metadata']['title'], 'Test Project') file_path = "{}_download_{}/data/Test Project/README.md".format( self.target_name, resource_id) # Verify that the folder exists self.assertIn(file_path, zip_file.namelist()) # # Verify there is only one entry that contains this folder count_of_file_references = zip_file.namelist().count(file_path) self.assertEqual(count_of_file_references, 1) # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(self.ticket_number)) def test_success_download_public_repo(self): """ Return a 200 along with a zip file of the public project requested. """ resource_id = '17993206' shared_call_get_resource_zip(self, resource_id) url = reverse('job_status', kwargs={'action': 'download', 'response_format': 'zip'}) response = self.client.get(url, **self.header) # Verify the status code self.assertEqual(response.status_code, 200) zip_file = zipfile.ZipFile(io.BytesIO(response.content)) # Verify the name of the zip file self.assertEquals( response._headers['content-disposition'][1], 'attachment; filename={}_download_{}.zip'.format(self.target_name, resource_id)) # Verify content type self.assertEqual(response._headers['content-type'][1], 'application/zip') # Verify the number of resources in the zip is correct self.assertEqual(len(zip_file.namelist()), 14) # Verify the fixity file is empty as there was nothing to check. with zip_file.open('gitlab_download_{}/fixity_info.json'.format(resource_id)) as fixityfile: zip_json = json.load(fixityfile) self.assertEqual(len(zip_json), 1) file_path = "{}_download_{}/data/ProjectTwo/README.md".format( self.target_name, resource_id) # Verify that the file exists self.assertIn(file_path, zip_file.namelist()) # Verify there is only one entry that contains this file count_of_file_references = zip_file.namelist().count(file_path) self.assertEqual(count_of_file_references, 1) # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(self.ticket_number)) def test_success_download_unowned_public_repo(self): """ Return a 200 along with a zip file of the unowned public project requested. """ resource_id = '17433066' shared_call_get_resource_zip(self, resource_id) url = reverse('job_status', kwargs={'action': 'download', 'response_format': 'zip'}) response = self.client.get(url, **self.header) # Verify the status code self.assertEqual(response.status_code, 200) zip_file = zipfile.ZipFile(io.BytesIO(response.content)) # Verify the name of the zip file self.assertEquals( response._headers['content-disposition'][1], 'attachment; filename={}_download_{}.zip'.format(self.target_name, resource_id)) # Verify content type self.assertEqual(response._headers['content-type'][1], 'application/zip') # Verify the number of resources in the zip is correct # self.assertEqual(len(zip_file.namelist()), 13) # Verify the fixity file is empty as there was nothing to check. with zip_file.open('gitlab_download_{}/fixity_info.json'.format(resource_id)) as fixityfile: zip_json = json.load(fixityfile) self.assertEqual(len(zip_json), 72) file_path = "gitlab_download_17433066/data/Eggs-Flutter/lib/themes/theme.dart" # Verify that the file exists self.assertIn(file_path, zip_file.namelist()) # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(self.ticket_number)) def test_success_download_directory(self): """ Return a 200 along with a zip file of the unowned public directory requested. """ resource_id = '17433066:test' shared_call_get_resource_zip(self, resource_id) url = reverse('job_status', kwargs={'action': 'download', 'response_format': 'zip'}) response = self.client.get(url, **self.header) # Verify the status code self.assertEqual(response.status_code, 200) zip_file = zipfile.ZipFile(io.BytesIO(response.content)) # Verify the name of the zip file self.assertEquals( response._headers['content-disposition'][1], 'attachment; filename={}_download_{}.zip'.format(self.target_name, resource_id)) # Verify content type self.assertEqual(response._headers['content-type'][1], 'application/zip') # Verify the number of resources in the zip is correct # self.assertEqual(len(zip_file.namelist()), 13) # Verify the fixity file is empty as there was nothing to check. with zip_file.open('gitlab_download_{}/fixity_info.json'.format(resource_id)) as fixityfile: zip_json = json.load(fixityfile) self.assertEqual(len(zip_json), 1) file_path = 'gitlab_download_17433066:test/data/test/widget_test.dart' # # Verify that the file exists self.assertIn(file_path, zip_file.namelist()) # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(self.ticket_number)) def test_success_download_single_file(self): """ Return a 200 along with a zip file of the single file requested. """ resource_id = '17993268:README%2Emd' shared_call_get_resource_zip(self, resource_id) url = reverse('job_status', kwargs={'action': 'download', 'response_format': 'zip'}) response = self.client.get(url, **self.header) # Verify the status code self.assertEqual(response.status_code, 200) zip_file = zipfile.ZipFile(io.BytesIO(response.content)) # Verify the name of the zip file self.assertEquals( response._headers['content-disposition'][1], 'attachment; filename={}_download_{}.zip'.format(self.target_name, resource_id)) # Verify content type self.assertEqual(response._headers['content-type'][1], 'application/zip') # Verify the number of resources in the zip is correct # self.assertEqual(len(zip_file.namelist()), 13) # Verify the fixity file is empty as there was nothing to check. with zip_file.open('gitlab_download_{}/fixity_info.json'.format(resource_id)) as fixityfile: zip_json = json.load(fixityfile) self.assertEqual(len(zip_json), 1) file_path = 'gitlab_download_17993268:README%2Emd/data/README.md' # # Verify that the file exists self.assertIn(file_path, zip_file.namelist()) # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(self.ticket_number)) def test_error_500_401(self): """ Return a 500 if an invalid token is provided. """ url = reverse('resource', kwargs={'target_name': self.target_name, 'resource_id': '209373160', 'resource_format': 'zip'}) response = self.client.get(url, **{'HTTP_PRESQT_SOURCE_TOKEN': 'eggs', 'HTTP_PRESQT_EMAIL_OPT_IN': ''}) ticket_number = hash_tokens('eggs') download_url = response.data['download_job_zip'] process_info_path = 'mediafiles/jobs/{}/process_info.json'.format(ticket_number) process_info = read_file(process_info_path, True) while process_info['resource_download']['status'] == 'in_progress': try: process_info = read_file(process_info_path, True) except json.decoder.JSONDecodeError: # Pass while the process_info file is being written to pass download_response = self.client.get(download_url, **{'HTTP_PRESQT_SOURCE_TOKEN': 'eggs'}) # The endpoint lumps all errors into a 500 status code self.assertEqual(download_response.status_code, 500) self.assertEqual(download_response.data['status_code'], 401) self.assertEqual(download_response.data['message'], "Token is invalid. Response returned a 401 status code.") # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(ticket_number)) def test_error_500_404_project(self): """ Return a 500 if an invalid resource_id is provided. """ url = reverse('resource', kwargs={'target_name': self.target_name, 'resource_id': 'bad', 'resource_format': 'zip'}) response = self.client.get(url, **self.header) ticket_number = hash_tokens(self.token) download_url = response.data['download_job_zip'] process_info_path = 'mediafiles/jobs/{}/process_info.json'.format(ticket_number) process_info = read_file(process_info_path, True) while process_info['resource_download']['status'] == 'in_progress': try: process_info = read_file(process_info_path, True) except json.decoder.JSONDecodeError: # Pass while the process_info file is being written to pass download_response = self.client.get(download_url, **self.header) # The endpoint lumps all errors into a 500 status code self.assertEqual(download_response.status_code, 500) self.assertEqual(download_response.data['status_code'], 404) self.assertEqual(download_response.data['message'], "The resource with id, bad, does not exist for this user.") # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(ticket_number)) def test_error_500_404_directory(self): """ Return a 500 if an invalid resource_id (directory) is provided. """ url = reverse('resource', kwargs={'target_name': self.target_name, 'resource_id': '16682224:Danglesauce', 'resource_format': 'zip'}) response = self.client.get(url, **self.header) ticket_number = hash_tokens(self.token) download_url = response.data['download_job_zip'] process_info_path = 'mediafiles/jobs/{}/process_info.json'.format(ticket_number) process_info = read_file(process_info_path, True) while process_info['resource_download']['status'] == 'in_progress': try: process_info = read_file(process_info_path, True) except json.decoder.JSONDecodeError: # Pass while the process_info file is being written to pass download_response = self.client.get(download_url, **self.header) # The endpoint lumps all errors into a 500 status code self.assertEqual(download_response.status_code, 500) self.assertEqual(download_response.data['status_code'], 404) self.assertEqual(download_response.data['message'], "The resource with id, 16682224:Danglesauce, does not exist for this user.") # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(ticket_number)) def test_error_500_404_file(self): """ Return a 500 if an invalid resource_id (file) is provided. """ url = reverse('resource', kwargs={'target_name': self.target_name, 'resource_id': '17993268:TheEggBasketMetaphor%2Emp4', 'resource_format': 'zip'}) response = self.client.get(url, **self.header) ticket_number = hash_tokens(self.token) download_url = response.data['download_job_zip'] process_info_path = 'mediafiles/jobs/{}/process_info.json'.format(ticket_number) process_info = read_file(process_info_path, True) while process_info['resource_download']['status'] == 'in_progress': try: process_info = read_file(process_info_path, True) except json.decoder.JSONDecodeError: # Pass while the process_info file is being written to pass download_response = self.client.get(download_url, **self.header) # The endpoint lumps all errors into a 500 status code self.assertEqual(download_response.status_code, 500) self.assertEqual(download_response.data['status_code'], 404) self.assertEqual(download_response.data['message'], "The resource with id, 17993268:TheEggBasketMetaphor%2Emp4, does not exist for this user.") # Delete corresponding folder shutil.rmtree('mediafiles/jobs/{}'.format(ticket_number))

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null

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1

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null

0

7

254a1e75993d0dd92aac408fc911ab82057d8dba

11,002

py

Python

3DShit.py

moaz-eldefrawy/Graphical-Linear-Transformation

ca2cf30fc22d33c51ac65f7e714bf4e59b54ffc4

[ "MIT" ]

null

3DShit.py

moaz-eldefrawy/Graphical-Linear-Transformation

ca2cf30fc22d33c51ac65f7e714bf4e59b54ffc4

[ "MIT" ]

3

2021-03-19T08:34:05.000Z

2022-01-13T01:52:08.000Z

3DShit.py

moaz-eldefrawy/Graphical-Linear-Transformation

ca2cf30fc22d33c51ac65f7e714bf4e59b54ffc4

[ "MIT" ]

1

2019-11-20T18:01:37.000Z

from manimlib.imports import * import os import pyclbr from tkinter import * ##import numpy as np n = 0 def get_cube(b1,b2,b3,b4,h1,h2,h3,h4, **kwargs): # base s1 = Line(h1,h2, **kwargs) s2 = Line(h2,h3, **kwargs) s3 = Line(h3,h4, **kwargs) s4 = Line(h4,h1, **kwargs) # top s5 = Line(b1, b2, **kwargs) s6 = Line(b2, b3, **kwargs) s7 = Line(b3, b4, **kwargs) s8 = Line(b4, b1, **kwargs) # connectors s9 = Line(b1,h1, **kwargs) s10 = Line(b2,h2, **kwargs) s11 = Line(b3, h3, **kwargs) s12 = Line(b4,h4, **kwargs) return Group(s1, s2, s3, s4, s5, s6, s7, s8, s9, s10, s11, s12) def get_pyramid(p1,p2,p3,p4,p5, **kwargs): #base s1 = Line(p1, p2, **kwargs) s2 = Line(p2, p3, **kwargs) s3 = Line(p3, p4, **kwargs) s4 = Line(p4, p1, **kwargs) # top s5 = Line(p1, p5, **kwargs) s6 = Line(p2, p5, **kwargs) s7 = Line(p3, p5, **kwargs) s8 = Line(p4, p5, **kwargs) return [s1, s2, s3, s4, s5, s6, s7, s8] class Shapes(ThreeDScene): # A few simple shapes def construct(self): ##print(CONFIG) CONFIG = {"plane_kwargs": { "x_line_frequency": 2, "y_line_frequency": 2 }, "camera_class": ThreeDCamera, "ambient_camera_rotation": None, "default_angled_camera_orientation_kwargs": { "phi": 90 * DEGREES, "theta": -135 * DEGREES, } } ## 1.5 PI = 90 ## PI for Vertical and Gamma Horizontal self.set_camera_orientation(phi=70 * DEGREES, theta=-90 * DEGREES) ##sphere = self.get_sphere() ##cube = Cube() ## prism = Prism() ##print("Print prism:") ## print(prism) ## prism = get_cube(1.5, color="#ff0000", stroke_width=10) ## print("printing:") ## print(type(prism)) ## prism.shift(5 * np.array([0,0,1])) ## for i in (len(prism)): ## prism += np.array([0,0,5]) ## self.play(ShowCreation(prism)) ## self.play(ReplacementTransform(sphere, cube)) ## self.play(ReplacementTransform(cube, prism)) self.wait(2) for i in range(-10, 10): Y_Axis = Line(np.array([i, 10, 0]), np.array([i, -10, 0])) X_Axis = Line(np.array([10, i, 0]), np.array([-10, i, 0])) X_Axis.set_color(GREEN) Y_Axis.set_color(GREEN) self.add(Y_Axis) self.add(X_Axis) Y_Axis = Line(np.array([0, 10, 0]), np.array([0, -10, 0])) Y_Axis.set_fill(RED, opacity=0.5) Y_Axis.stroke_width = 10; X_Axis = Line(np.array([10, 0, 0]), np.array([-10, 0, 0])) X_Axis.set_fill(RED) X_Axis.stroke_width = 10; self.add(Y_Axis) self.add(X_Axis) Z_Axis = Line(np.array([0, 0, -10]), np.array([0, 0, 10])) Z_Axis.set_color(WHITE) self.add(Z_Axis) ##self.set_camera_orientation(phi= , gamma=0) ''' a = [np.array([1,1,0]), np.array([1,1,1]), np.array([1,1,0]), np.array([1,2,0]), np.array([1,2,1]), np.array([1,2,0]), np.array([2,2,0]), np.array([2,2,1]), np.array([2,2,0]), np.array([2,1,0]), np.array([2,1,1]),## np.array([2,1,0]), np.array([1, 1, 1]), np.array([1, 2, 1]), np.array([2, 2, 1]), np.array([2, 1, 1]), np.array([2, 1, 0])] ''' b = [np.array([1,1,0]) ,np.array([1,2,0]),np.array([2,2,0]),np.array([2,1,0]),np.array([1.5,1.5,3])] for x in range(-10, 10): for y in range(-10, 10): self.add(Dot(np.array([x, y, 0]), color=DARK_GREY)) someTransformation = np.array([[2, 1, 1], [-1, -1, 3], [1, 1, -1]]) T_X_axis_reflection = np.array([[1, 0, 0], [0, -1, 0], [0, 0, 1]]) T_Y_axis_reflection = np.array([[-1, 0, 0], [0, 1, 0], [0, 0, 1]]) T_Z_axis_reflection = np.array([[1, 0, 0], [0, 1, 0], [0, 0, -1]]) T_origin_reflection = np.array([[-1, 0, 0], [0, -1, 0], [0, 0, -1]]) shearValue = 2 T_shear = np.array([[1, shearValue, 0], [0, 1, 0], [0, 0, 1]]) ## self.setup_axes a = get_pyramid(*b) for i in range(len(a)): self.play(ShowCreation(a[i], run_time=0.5)) print(b) for i in range(len(b)): b[i] = TransformMatrix(T_Y_axis_reflection, b[i]) print(b) self.wait(1) ##shape3 = shape1 unitScale = 2 ##shape3.scale(2) ##self.play(ApplyMethod(shape1.shift, np.array([1, 1, 0]))) ##self.play(ShowCreation(shape3)) ## shape1.scale(3) ## shape1.stroke_width = 10 ## shape1.set_fill(WHITE, opacity=1) ##shape1.rotate(45 * DEGREES) ##self.play(ApplyMethod(shape1.shift, np.array([0, 2, 0]))) ## self.play(FadeOut(shape1)) factor = 3 ## self.play(FadeInFromLarge(shape1, scale_factor=factor)) self.wait(1) self.move_camera(phi=70 * DEGREES, theta=-270 * DEGREES) self.wait(0.5) z = get_pyramid(*b) for i in range(len(z)): self.play(Transform(a[i],z[i]), run_time=0.5) self.move_camera(phi=85 * DEGREES, theta=-270 * DEGREES) self.wait(2) ##shape2 = class Shapes2(ThreeDScene): # A few simple shapes def construct(self): ##print(CONFIG) CONFIG = {"plane_kwargs": { "x_line_frequency": 2, "y_line_frequency": 2 }, "camera_class": ThreeDCamera, "ambient_camera_rotation": None, "default_angled_camera_orientation_kwargs": { "phi": 90 * DEGREES, "theta": -135 * DEGREES, } } ## 1.5 PI = 90 ## PI for Vertical and Gamma Horizontal self.set_camera_orientation(phi=70 * DEGREES, theta=-90 * DEGREES) ##sphere = self.get_sphere() ##cube = Cube() ## prism = Prism() ##print("Print prism:") ## print(prism) ## prism = get_cube(1.5, color="#ff0000", stroke_width=10) ## print("printing:") ## print(type(prism)) ## prism.shift(5 * np.array([0,0,1])) ## for i in (len(prism)): ## prism += np.array([0,0,5]) ## self.play(ShowCreation(prism)) ## self.play(ReplacementTransform(sphere, cube)) ## self.play(ReplacementTransform(cube, prism)) self.wait(2) for i in range(-10, 10): Y_Axis = Line(np.array([i, 10, 0]), np.array([i, -10, 0])) X_Axis = Line(np.array([10, i, 0]), np.array([-10, i, 0])) X_Axis.set_color(GREEN) Y_Axis.set_color(GREEN) self.add(Y_Axis) self.add(X_Axis) Y_Axis = Line(np.array([0, 10, 0]), np.array([0, -10, 0])) Y_Axis.set_fill(RED, opacity=0.5) Y_Axis.stroke_width = 10; X_Axis = Line(np.array([10, 0, 0]), np.array([-10, 0, 0])) X_Axis.set_fill(RED) X_Axis.stroke_width = 10; self.add(Y_Axis) self.add(X_Axis) Z_Axis = Line(np.array([0, 0, -10]), np.array([0, 0, 10])) Z_Axis.set_color(WHITE) self.add(Z_Axis) ##self.set_camera_orientation(phi= , gamma=0) ''' a = [np.array([1,1,0]), np.array([1,1,1]), np.array([1,1,0]), np.array([1,2,0]), np.array([1,2,1]), np.array([1,2,0]), np.array([2,2,0]), np.array([2,2,1]), np.array([2,2,0]), np.array([2,1,0]), np.array([2,1,1]),## np.array([2,1,0]), np.array([1, 1, 1]), np.array([1, 2, 1]), np.array([2, 2, 1]), np.array([2, 1, 1]), np.array([2, 1, 0])] ''' ## pyramid ## b = [np.array([1, 1, 0]), np.array([1, 2, 0]), np.array([2, 2, 0]), np.array([2, 1, 0]), ## np.array([1.5, 1.5, 3])] ## Cube b = [ np.array([1, 1, 0]), np.array([1, 2, 0]), np.array([2, 2, 0]), np.array([2, 1, 0]), np.array([1, 1, 1]), np.array([1, 2, 1]), np.array([2, 2, 1]), np.array([2, 1, 1]) ] for x in range(-10, 10): for y in range(-10, 10): self.add(Dot(np.array([x, y, 0]), color=DARK_GREY)) someTransformation = np.array([[2, 1, 1], [-1, -1, 3], [1, 1, -1]]) T_X_axis_reflection = np.array([[1, 0, 0], [0, -1, 0], [0, 0, 1]]) T_Y_axis_reflection = np.array([[-1, 0, 0], [0, 1, 0], [0, 0, 1]]) T_Z_axis_reflection = np.array([[1, 0, 0], [0, 1, 0], [0, 0, -1]]) T_origin_reflection = np.array([[-1, 0, 0], [0, -1, 0], [0, 0, -1]]) shearValue = 2 T_shear = np.array([[1, shearValue, 0], [0, 1, 0], [0, 0, 1]]) ## self.setup_axes ##a = get_pyramid(*b) a = get_cube(*b) for i in range(len(a)): self.play(ShowCreation(a[i], run_time=0.5)) print(b) for i in range(len(b)): b[i] = TransformMatrix(T_Y_axis_reflection, b[i]) print(b) self.wait(1) ##shape3 = shape1 unitScale = 2 ##shape3.scale(2) ##self.play(ApplyMethod(shape1.shift, np.array([1, 1, 0]))) ##self.play(ShowCreation(shape3)) ## shape1.scale(3) ## shape1.stroke_width = 10 ## shape1.set_fill(WHITE, opacity=1) ##shape1.rotate(45 * DEGREES) ##self.play(ApplyMethod(shape1.shift, np.array([0, 2, 0]))) ## self.play(FadeOut(shape1)) factor = 3 ## self.play(FadeInFromLarge(shape1, scale_factor=factor)) self.wait(1) self.move_camera(phi=70 * DEGREES, theta=-270 * DEGREES) self.wait(0.5) z = get_cube(*b) for i in range(len(z)): self.play(Transform(a[i], z[i]), run_time=0.5) self.move_camera(phi=85 * DEGREES, theta=-270 * DEGREES) self.wait(2) ##shape2 = def TransformMatrix(TransMatrix, point): ## (1,3) point = point.reshape(3, 1) c = np.dot(TransMatrix, point) c = c.reshape(1, 3) return c[0]

30.991549

108

0.459644

1,515

11,002

3.244884

0.09835

0.133849

0.061839

0.014646

0.868592

0.858421

0

0.091257

0.358571

11,002

354

109

31.079096

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0

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false

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null

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1

0

1

0

null

0

7

c2547a4d681f18f341916973a5c674d975a3c901

165

py

Python

backend/home/admin.py

crowdbotics-apps/testing-django-app-31743

4361e3a1e84437a59bb330547e4d4dc16fb6fbe2

[ "FTL", "AML", "RSA-MD" ]

null

backend/home/admin.py

crowdbotics-apps/testing-django-app-31743

4361e3a1e84437a59bb330547e4d4dc16fb6fbe2

[ "FTL", "AML", "RSA-MD" ]

null

backend/home/admin.py

crowdbotics-apps/testing-django-app-31743

4361e3a1e84437a59bb330547e4d4dc16fb6fbe2

[ "FTL", "AML", "RSA-MD" ]

null

from django.contrib import admin from .models import Sample, Userdetails admin.site.register(Userdetails) admin.site.register(Sample) # Register your models here.

20.625

39

0.812121

22

165

6.090909

0.545455

0.238806

0.298507

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0

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165

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0.911565

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true

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0.5

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1

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null

0

1

0

1

0

7

c2dc922722ff4c452cdca4f04e4a6646f287cf32

26,220

py

Python

tests/ope/test_dr_estimators.py

usaito/zr-obp

57b4bc79d21301703a2b7e6e0c284a308194a795

[ "Apache-2.0" ]

null

tests/ope/test_dr_estimators.py

usaito/zr-obp

57b4bc79d21301703a2b7e6e0c284a308194a795

[ "Apache-2.0" ]

null

tests/ope/test_dr_estimators.py

usaito/zr-obp

57b4bc79d21301703a2b7e6e0c284a308194a795

[ "Apache-2.0" ]

null

import re import pytest import numpy as np import torch from obp.types import BanditFeedback from obp.ope import ( DirectMethod, DoublyRobust, DoublyRobustWithShrinkage, SwitchDoublyRobust, SelfNormalizedDoublyRobust, ) from conftest import generate_action_dist # prepare instances dm = DirectMethod() dr = DoublyRobust() dr_shrink_0 = DoublyRobustWithShrinkage(lambda_=0.0) dr_shrink_max = DoublyRobustWithShrinkage(lambda_=1e10) sndr = SelfNormalizedDoublyRobust() switch_dr_0 = SwitchDoublyRobust(tau=0.0) switch_dr_max = SwitchDoublyRobust(tau=1e10) dr_estimators = [dr, dr_shrink_0, sndr, switch_dr_0] # dr and self-normalized dr # action_dist, action, reward, pscore, position, estimated_rewards_by_reg_model, description invalid_input_of_dr = [ ( generate_action_dist(5, 4, 3), None, np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), None, np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "reward must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), None, np.random.choice(3, size=5), np.zeros((5, 4, 3)), "pscore must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), None, "estimated_rewards_by_reg_model must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=float), np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action elements must be non-negative integers", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int) - 1, np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action elements must be non-negative integers", ), ( generate_action_dist(5, 4, 3), "4", np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros((3, 2), dtype=int), np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action must be 1-dimensional", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int) + 8, np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action elements must be smaller than the second dimension of action_dist", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), "4", np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "reward must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros((3, 2), dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "reward must be 1-dimensional", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(4, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action and reward must be the same size.", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), "4", np.random.choice(3, size=5), np.zeros((5, 4, 3)), "pscore must be ndarray", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), np.ones((5, 3)), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "pscore must be 1-dimensional", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), np.ones(4), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "action, reward, and pscore must be the same size.", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), np.arange(5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), "pscore must be positive", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), np.zeros((5, 4, 2)), "estimated_rewards_by_reg_model.shape must be the same as action_dist.shape", ), ( generate_action_dist(5, 4, 3), np.zeros(5, dtype=int), np.zeros(5, dtype=int), np.ones(5), np.random.choice(3, size=5), "4", "estimated_rewards_by_reg_model must be ndarray", ), ] @pytest.mark.parametrize( "action_dist, action, reward, pscore, position, estimated_rewards_by_reg_model, description", invalid_input_of_dr, ) def test_dr_using_invalid_input_data( action_dist: np.ndarray, action: np.ndarray, reward: np.ndarray, pscore: np.ndarray, position: np.ndarray, estimated_rewards_by_reg_model: np.ndarray, description: str, ) -> None: # estimate_intervals function raises ValueError of all estimators for estimator in [dr, sndr]: with pytest.raises(ValueError, match=f"{description}*"): _ = estimator.estimate_policy_value( action_dist=action_dist, action=action, reward=reward, pscore=pscore, position=position, estimated_rewards_by_reg_model=estimated_rewards_by_reg_model, ) with pytest.raises(ValueError, match=f"{description}*"): _ = estimator.estimate_interval( action_dist=action_dist, action=action, reward=reward, pscore=pscore, position=position, estimated_rewards_by_reg_model=estimated_rewards_by_reg_model, ) # dr and self-normalized dr # action_dist, action, reward, pscore, position, estimated_rewards_by_reg_model, description invalid_input_tensor_of_dr = [ ( torch.from_numpy(generate_action_dist(5, 4, 3)), None, torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), None, torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "reward must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), None, torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "pscore must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), None, "estimated_rewards_by_reg_model must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.float32), torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action elements must be non-negative integers", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64) - 1, torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action elements must be non-negative integers", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), "4", torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros((3, 2), dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action must be 1-dimensional", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64) + 8, torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action elements must be smaller than the second dimension of action_dist", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), "4", torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "reward must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros((3, 2), dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "reward must be 1-dimensional", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(4, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action and reward must be the same size.", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), "4", torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "pscore must be Tensor", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.ones((5, 3)), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "pscore must be 1-dimensional", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.ones(4), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "action, reward, and pscore must be the same size.", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.from_numpy(np.arange(5)), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), "pscore must be positive", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 2)), "estimated_rewards_by_reg_model.shape must be the same as action_dist.shape", ), ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.zeros(5, dtype=torch.int64), torch.zeros(5, dtype=torch.int64), torch.ones(5), torch.from_numpy(np.random.choice(3, size=5)), "4", "estimated_rewards_by_reg_model must be Tensor", ), ] @pytest.mark.parametrize( "action_dist, action, reward, pscore, position, estimated_rewards_by_reg_model, description", invalid_input_tensor_of_dr, ) def test_dr_using_invalid_input_tensor_data( action_dist: torch.Tensor, action: torch.Tensor, reward: torch.Tensor, pscore: torch.Tensor, position: torch.Tensor, estimated_rewards_by_reg_model: torch.Tensor, description: str, ) -> None: # estimate_intervals function raises ValueError of all estimators for estimator in [dr, sndr]: with pytest.raises(ValueError, match=f"{description}*"): _ = estimator.estimate_policy_value_tensor( action_dist=action_dist, action=action, reward=reward, pscore=pscore, position=position, estimated_rewards_by_reg_model=estimated_rewards_by_reg_model, ) # switch-dr invalid_input_of_switch = [ ("a", "switching hyperparameter must be float or integer"), (-1.0, "switching hyperparameter must be larger than or equal to zero"), (np.nan, "switching hyperparameter must not be nan"), ] @pytest.mark.parametrize( "tau, description", invalid_input_of_switch, ) def test_switch_using_invalid_input_data(tau: float, description: str) -> None: with pytest.raises(ValueError, match=f"{description}*"): _ = SwitchDoublyRobust(tau=tau) valid_input_of_switch = [ (3.0, "float tau"), (2, "integer tau"), ] @pytest.mark.parametrize( "tau, description", valid_input_of_switch, ) def test_switch_using_valid_input_data(tau: float, description: str) -> None: _ = SwitchDoublyRobust(tau=tau) # dr-os invalid_input_of_shrinkage = [ ("a", "shrinkage hyperparameter must be float or integer"), (-1.0, "shrinkage hyperparameter must be larger than or equal to zero"), (np.nan, "shrinkage hyperparameter must not be nan"), ] @pytest.mark.parametrize( "lambda_, description", invalid_input_of_shrinkage, ) def test_shrinkage_using_invalid_input_data(lambda_: float, description: str) -> None: with pytest.raises(ValueError, match=f"{description}*"): _ = DoublyRobustWithShrinkage(lambda_=lambda_) valid_input_of_shrinkage = [ (3.0, "float lambda_"), (2, "integer lambda_"), ] @pytest.mark.parametrize( "lambda_, description", valid_input_of_shrinkage, ) def test_shrinkage_using_valid_input_data(lambda_: float, description: str) -> None: _ = DoublyRobustWithShrinkage(lambda_=lambda_) # dr variants valid_input_of_dr_variants = [ ( generate_action_dist(5, 4, 3), np.random.choice(4, size=5), np.zeros(5, dtype=int), np.random.uniform(low=0.5, high=1.0, size=5), np.random.choice(3, size=5), np.zeros((5, 4, 3)), 0.5, "all argumnents are given and len_list > 1", ) ] @pytest.mark.parametrize( "action_dist, action, reward, pscore, position, estimated_rewards_by_reg_model, hyperparameter, description", valid_input_of_dr_variants, ) def test_dr_variants_using_valid_input_data( action_dist: np.ndarray, action: np.ndarray, reward: np.ndarray, pscore: np.ndarray, position: np.ndarray, estimated_rewards_by_reg_model: np.ndarray, hyperparameter: float, description: str, ) -> None: # check dr variants switch_dr = SwitchDoublyRobust(tau=hyperparameter) dr_os = DoublyRobustWithShrinkage(lambda_=hyperparameter) for estimator in [switch_dr, dr_os]: est = estimator.estimate_policy_value( action_dist=action_dist, action=action, reward=reward, pscore=pscore, position=position, estimated_rewards_by_reg_model=estimated_rewards_by_reg_model, ) assert est == 0.0, f"policy value must be 0, but {est}" # dr variants valid_input_tensor_of_dr_variants = [ ( torch.from_numpy(generate_action_dist(5, 4, 3)), torch.from_numpy(np.random.choice(4, size=5)), torch.zeros(5, dtype=torch.int64), torch.from_numpy(np.random.uniform(low=0.5, high=1.0, size=5)), torch.from_numpy(np.random.choice(3, size=5)), torch.zeros((5, 4, 3)), 0.5, "all argumnents are given and len_list > 1", ) ] @pytest.mark.parametrize( "action_dist, action, reward, pscore, position, estimated_rewards_by_reg_model, hyperparameter, description", valid_input_tensor_of_dr_variants, ) def test_dr_variants_using_valid_input_tensor_data( action_dist: torch.Tensor, action: torch.Tensor, reward: torch.Tensor, pscore: torch.Tensor, position: torch.Tensor, estimated_rewards_by_reg_model: torch.Tensor, hyperparameter: float, description: str, ) -> None: # check dr variants dr_os = DoublyRobustWithShrinkage(lambda_=hyperparameter) for estimator in [dr_os]: est = estimator.estimate_policy_value_tensor( action_dist=action_dist, action=action, reward=reward, pscore=pscore, position=position, estimated_rewards_by_reg_model=estimated_rewards_by_reg_model, ) assert est.item() == 0.0, f"policy value must be 0, but {est.item()}" def test_dr_using_random_evaluation_policy( synthetic_bandit_feedback: BanditFeedback, random_action_dist: np.ndarray ) -> None: """ Test the format of dr variants using synthetic bandit data and random evaluation policy """ expected_reward = synthetic_bandit_feedback["expected_reward"][:, :, np.newaxis] action_dist = random_action_dist # prepare input dict input_dict = { k: v for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_dict["action_dist"] = action_dist input_dict["estimated_rewards_by_reg_model"] = expected_reward # dr estimtors require all arguments for estimator in dr_estimators: estimated_policy_value = estimator.estimate_policy_value(**input_dict) assert isinstance( estimated_policy_value, float ), f"invalid type response: {estimator}" # remove necessary keys del input_dict["reward"] del input_dict["pscore"] del input_dict["action"] del input_dict["estimated_rewards_by_reg_model"] for estimator in dr_estimators: with pytest.raises( TypeError, match=re.escape( "estimate_policy_value() missing 4 required positional arguments: 'reward', 'action', 'pscore', and 'estimated_rewards_by_reg_model'" ), ): _ = estimator.estimate_policy_value(**input_dict) # prepare input dict input_tensor_dict = { k: v if v is None else torch.from_numpy(v) for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_tensor_dict["action_dist"] = torch.from_numpy(action_dist) input_tensor_dict["estimated_rewards_by_reg_model"] = torch.from_numpy( expected_reward ) # dr estimtors require all arguments for estimator in dr_estimators: if estimator.estimator_name == "switch-dr": with pytest.raises( NotImplementedError, match=re.escape( "This is not implemented for Swtich-DR because it is indifferentiable." ), ): _ = estimator.estimate_policy_value_tensor(**input_tensor_dict) else: estimated_policy_value = estimator.estimate_policy_value_tensor( **input_tensor_dict ) assert isinstance( estimated_policy_value, torch.Tensor ), f"invalid type response: {estimator}" # remove necessary keys del input_tensor_dict["reward"] del input_tensor_dict["pscore"] del input_tensor_dict["action"] del input_tensor_dict["estimated_rewards_by_reg_model"] for estimator in dr_estimators: if estimator.estimator_name == "switch-dr": with pytest.raises( NotImplementedError, match=re.escape( "This is not implemented for Swtich-DR because it is indifferentiable." ), ): _ = estimator.estimate_policy_value_tensor(**input_tensor_dict) else: with pytest.raises( TypeError, match=re.escape( "estimate_policy_value_tensor() missing 4 required positional arguments: 'reward', 'action', 'pscore', and 'estimated_rewards_by_reg_model'" ), ): _ = estimator.estimate_policy_value_tensor(**input_tensor_dict) def test_boundedness_of_sndr_using_random_evaluation_policy( synthetic_bandit_feedback: BanditFeedback, random_action_dist: np.ndarray ) -> None: """ Test the boundedness of sndr estimators using synthetic bandit data and random evaluation policy """ expected_reward = synthetic_bandit_feedback["expected_reward"][:, :, np.newaxis] action_dist = random_action_dist # prepare input dict input_dict = { k: v for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_dict["action_dist"] = action_dist input_dict["estimated_rewards_by_reg_model"] = expected_reward # make pscore too small (to check the boundedness of sndr) input_dict["pscore"] = input_dict["pscore"] ** 3 estimated_policy_value = sndr.estimate_policy_value(**input_dict) assert ( estimated_policy_value <= 2 ), f"estimated policy value of sndr should be smaller than or equal to 2 (because of its 2-boundedness), but the value is: {estimated_policy_value}" # prepare input dict input_tensor_dict = { k: v if v is None else torch.from_numpy(v) for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_tensor_dict["action_dist"] = torch.from_numpy(action_dist) input_tensor_dict["estimated_rewards_by_reg_model"] = torch.from_numpy( expected_reward ) # make pscore too small (to check the boundedness of sndr) input_tensor_dict["pscore"] = input_tensor_dict["pscore"] ** 3 estimated_policy_value = sndr.estimate_policy_value_tensor(**input_tensor_dict) assert ( estimated_policy_value.item() <= 2 ), f"estimated policy value of sndr should be smaller than or equal to 2 (because of its 2-boundedness), but the value is: {estimated_policy_value.item()}" def test_dr_shrinkage_using_random_evaluation_policy( synthetic_bandit_feedback: BanditFeedback, random_action_dist: np.ndarray ) -> None: """ Test the dr shrinkage estimators using synthetic bandit data and random evaluation policy """ expected_reward = synthetic_bandit_feedback["expected_reward"][:, :, np.newaxis] action_dist = random_action_dist # prepare input dict input_dict = { k: v for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_dict["action_dist"] = action_dist input_dict["estimated_rewards_by_reg_model"] = expected_reward dm_value = dm.estimate_policy_value(**input_dict) dr_value = dr.estimate_policy_value(**input_dict) dr_shrink_0_value = dr_shrink_0.estimate_policy_value(**input_dict) dr_shrink_max_value = dr_shrink_max.estimate_policy_value(**input_dict) assert ( dm_value == dr_shrink_0_value ), "DoublyRobustWithShrinkage (lambda=0) should be the same as DirectMethod" assert ( np.abs(dr_value - dr_shrink_max_value) < 1e-5 ), "DoublyRobustWithShrinkage (lambda=inf) should be almost the same as DoublyRobust" # prepare input dict input_tensor_dict = { k: v if v is None else torch.from_numpy(v) for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_tensor_dict["action_dist"] = torch.from_numpy(action_dist) input_tensor_dict["estimated_rewards_by_reg_model"] = torch.from_numpy( expected_reward ) dm_value = dm.estimate_policy_value_tensor(**input_tensor_dict) dr_value = dr.estimate_policy_value_tensor(**input_tensor_dict) dr_shrink_0_value = dr_shrink_0.estimate_policy_value_tensor(**input_tensor_dict) dr_shrink_max_value = dr_shrink_max.estimate_policy_value_tensor( **input_tensor_dict ) assert ( dm_value.item() == dr_shrink_0_value.item() ), "DoublyRobustWithShrinkage (lambda=0) should be the same as DirectMethod" assert ( np.abs(dr_value.item() - dr_shrink_max_value.item()) < 1e-5 ), "DoublyRobustWithShrinkage (lambda=inf) should be almost the same as DoublyRobust" def test_switch_dr_using_random_evaluation_policy( synthetic_bandit_feedback: BanditFeedback, random_action_dist: np.ndarray ) -> None: """ Test the switch_dr using synthetic bandit data and random evaluation policy """ expected_reward = synthetic_bandit_feedback["expected_reward"][:, :, np.newaxis] action_dist = random_action_dist # prepare input dict input_dict = { k: v for k, v in synthetic_bandit_feedback.items() if k in ["reward", "action", "pscore", "position"] } input_dict["action_dist"] = action_dist input_dict["estimated_rewards_by_reg_model"] = expected_reward dm_value = dm.estimate_policy_value(**input_dict) dr_value = dr.estimate_policy_value(**input_dict) switch_dr_0_value = switch_dr_0.estimate_policy_value(**input_dict) switch_dr_max_value = switch_dr_max.estimate_policy_value(**input_dict) assert ( dm_value == switch_dr_0_value ), "SwitchDR (tau=0) should be the same as DirectMethod" assert ( dr_value == switch_dr_max_value ), "SwitchDR (tau=1e10) should be the same as DoublyRobust"

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6c7c2ad93bfa581fdf940b462c82e8735b236465

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Python

automata/neighbour_functions.py

javiruiz/cellular-automata

b83c41d5eacb6a3bb36324efa5d899e310e4a500

[ "Apache-2.0" ]

2

2019-11-08T23:34:29.000Z

2019-11-17T23:26:05.000Z

automata/neighbour_functions.py

javiruiz/cellular-automata

b83c41d5eacb6a3bb36324efa5d899e310e4a500

[ "Apache-2.0" ]

null

automata/neighbour_functions.py

javiruiz/cellular-automata

b83c41d5eacb6a3bb36324efa5d899e310e4a500

[ "Apache-2.0" ]

1

2019-11-08T23:35:08.000Z

import numpy as np def side_neighbours(board, x, y, size_x, size_y): alive_neighbours = 0 if x != size_x - 1: alive_neighbours += board[x + 1][y] if x != 0: alive_neighbours += board[x - 1][y] if y != size_y - 1: alive_neighbours += board[x][y + 1] if y != 0: alive_neighbours += board[x][y - 1] return alive_neighbours def corner_neighbours(board, x, y, size_x, size_y): alive_neighbours = 0 if x == 0 and y == 0: alive_neighbours += board[x + 1][y + 1] elif x == 0 and y == size_y - 1: alive_neighbours += board[x + 1][y - 1] elif x == size_x - 1 and y == 0: alive_neighbours += board[x - 1][y + 1] elif x == size_x - 1 and y == size_y - 1: alive_neighbours += board[x - 1][y - 1] elif x == 0: alive_neighbours += board[x + 1][y + 1] + board[x + 1][y - 1] elif x == size_x - 1: alive_neighbours += board[x - 1][y + 1] + board[x - 1][y - 1] elif y == 0: alive_neighbours += board[x + 1][y + 1] + board[x - 1][y + 1] elif y == size_y - 1: alive_neighbours += board[x - 1][y - 1] + board[x + 1][y - 1] else: alive_neighbours += board[x - 1][y - 1] + board[x + 1][y - 1] alive_neighbours += board[x + 1][y + 1] + board[x - 1][y + 1] return alive_neighbours def all_neighbours(board, x, y, size_x, size_y): alive_neighbours = 0 if x == 0 and y == 0: alive_neighbours += board[x + 1][y + 1] + board[x + 1][y] + board[x][y + 1] elif x == 0 and y == size_y - 1: alive_neighbours += board[x + 1][y - 1] + board[x + 1][y] + board[x][y - 1] elif x == size_x - 1 and y == 0: alive_neighbours += board[x - 1][y + 1] + board[x - 1][y] + board[x][y + 1] elif x == size_x - 1 and y == size_y - 1: alive_neighbours += board[x - 1][y - 1] + board[x - 1][y] + board[x][y - 1] elif x == 0: alive_neighbours += board[x + 1][y + 1] + board[x + 1][y - 1] + board[x + 1][y] \ + board[x][y + 1] + board[x][y - 1] elif x == size_x - 1: alive_neighbours += board[x - 1][y + 1] + board[x - 1][y - 1] + board[x - 1][y] \ + board[x][y + 1] + board[x][y - 1] elif y == 0: alive_neighbours += board[x + 1][y + 1] + board[x - 1][y + 1] + board[x + 1][y] \ + board[x][y + 1] + board[x - 1][y] elif y == size_y - 1: alive_neighbours += board[x - 1][y - 1] + board[x + 1][y - 1] + board[x + 1][y] \ + board[x][y - 1] + board[x - 1][y] else: alive_neighbours += board[x - 1][y - 1] + board[x + 1][y - 1] + board[x + 1][y + 1] \ + board[x - 1][y + 1] + board[x][y + 1] + board[x][y - 1] \ + board[x + 1][y] + board[x - 1][y] return alive_neighbours

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6c7ec498ed371b1657dd5b8076f3fc11d937fd2b

47,571

py

Python

model/road_transformer.py

wgcban/spin_roadmapper

2c1c8f22073d989753dc6f95d1f547198a76414b

[ "Apache-2.0" ]

24

2021-09-15T00:20:52.000Z

2022-03-27T05:01:23.000Z

model/road_transformer.py

wgcban/spin_roadmapper

2c1c8f22073d989753dc6f95d1f547198a76414b

[ "Apache-2.0" ]

2

2021-12-27T13:45:02.000Z

2022-03-25T13:33:20.000Z

model/road_transformer.py

wgcban/spin_roadmapper

2c1c8f22073d989753dc6f95d1f547198a76414b

[ "Apache-2.0" ]

3

2021-12-27T03:11:56.000Z

2022-03-10T10:24:42.000Z

from __future__ import print_function import math import pdb import numpy as np import torch import torch.nn as nn import torch.nn.functional as F #from model.glore import GloRe_Unit_2D, GloRe_Unit_SE_2D from model.SPIN import spin affine_par = True ############### Road Transformer ############### class BasicResnetBlock(nn.Module): expansion = 1 def __init__(self, inplanes, planes, stride=1, padding=1, downsample=None): super(BasicResnetBlock, self).__init__() self.conv1 = nn.Conv2d( inplanes, planes, kernel_size=3, stride=stride, padding=padding, bias=False ) self.bn1 = nn.BatchNorm2d(planes) self.relu = nn.ReLU(inplace=True) self.conv2 = nn.Conv2d( planes, planes, kernel_size=3, stride=stride, padding=padding, bias=False ) self.bn2 = nn.BatchNorm2d(planes) self.downsample = downsample self.stride = stride def forward(self, x): residual = x out = self.conv1(x) out = self.bn1(out) out = self.relu(out) out = self.conv2(out) out = self.bn2(out) if self.downsample is not None: residual = self.downsample(x) out += residual out = self.relu(out) return out class DecoderBlock(nn.Module): def __init__(self, in_channels, n_filters, group=1): super(DecoderBlock, self).__init__() # B, C, H, W -> B, C/4, H, W self.conv1 = nn.Conv2d(in_channels, in_channels // 4, 1, groups=group) self.norm1 = nn.BatchNorm2d(in_channels // 4) self.relu1 = nn.ReLU(inplace=True) # B, C/4, H, W -> B, C/4, H, W self.deconv2 = nn.ConvTranspose2d( in_channels // 4, in_channels // 4, 3, stride=2, padding=1, output_padding=1, groups=group, ) self.norm2 = nn.BatchNorm2d(in_channels // 4) self.relu2 = nn.ReLU(inplace=True) # B, C/4, H, W -> B, C, H, W self.conv3 = nn.Conv2d(in_channels // 4, n_filters, 1, groups=group) self.norm3 = nn.BatchNorm2d(n_filters) self.relu3 = nn.ReLU(inplace=True) for m in self.modules(): if isinstance(m, nn.Conv2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2.0 / n)) if isinstance(m, nn.ConvTranspose2d): n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels m.weight.data.normal_(0, math.sqrt(2.0 / n)) elif isinstance(m, nn.BatchNorm2d): m.weight.data.fill_(1) m.bias.data.zero_() def forward(self, x): x = self.conv1(x) x = self.norm1(x) x = self.relu1(x) x = self.deconv2(x) x = self.norm2(x) x = self.relu2(x) x = self.conv3(x) x = self.norm3(x) x = self.relu3(x) return x def conv1x1(in_planes, out_planes, stride=1): """1x1 convolution""" return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) class AxialAttention(nn.Module): def __init__(self, in_planes, out_planes, groups=8, kernel_size=56, stride=1, bias=False, width=False): assert (in_planes % groups == 0) and (out_planes % groups == 0) super(AxialAttention, self).__init__() self.in_planes = in_planes self.out_planes = out_planes self.groups = groups self.group_planes = out_planes // groups self.kernel_size = kernel_size self.stride = stride self.bias = bias self.width = width # Multi-head self attention self.qkv_transform = qkv_transform(in_planes, out_planes * 2, kernel_size=1, stride=1, padding=0, bias=False) self.bn_qkv = nn.BatchNorm1d(out_planes * 2) self.bn_similarity = nn.BatchNorm2d(groups * 3) self.bn_output = nn.BatchNorm1d(out_planes * 2) # Position embedding self.relative = nn.Parameter(torch.randn(self.group_planes * 2, kernel_size * 2 - 1), requires_grad=True) query_index = torch.arange(kernel_size).unsqueeze(0) key_index = torch.arange(kernel_size).unsqueeze(1) relative_index = key_index - query_index + kernel_size - 1 self.register_buffer('flatten_index', relative_index.view(-1)) if stride > 1: self.pooling = nn.AvgPool2d(stride, stride=stride) self.reset_parameters() def forward(self, x): # pdb.set_trace() if self.width: x = x.permute(0, 2, 1, 3) else: x = x.permute(0, 3, 1, 2) # N, W, C, H N, W, C, H = x.shape x = x.contiguous().view(N * W, C, H) # Transformations qkv = self.bn_qkv(self.qkv_transform(x)) q, k, v = torch.split(qkv.reshape(N * W, self.groups, self.group_planes * 2, H), [self.group_planes // 2, self.group_planes // 2, self.group_planes], dim=2) # Calculate position embedding all_embeddings = torch.index_select(self.relative, 1, self.flatten_index).view(self.group_planes * 2, self.kernel_size, self.kernel_size) q_embedding, k_embedding, v_embedding = torch.split(all_embeddings, [self.group_planes // 2, self.group_planes // 2, self.group_planes], dim=0) qr = torch.einsum('bgci,cij->bgij', q, q_embedding) kr = torch.einsum('bgci,cij->bgij', k, k_embedding).transpose(2, 3) qk = torch.einsum('bgci, bgcj->bgij', q, k) stacked_similarity = torch.cat([qk, qr, kr], dim=1) stacked_similarity = self.bn_similarity(stacked_similarity).view(N * W, 3, self.groups, H, H).sum(dim=1) #stacked_similarity = self.bn_qr(qr) + self.bn_kr(kr) + self.bn_qk(qk) # (N, groups, H, H, W) similarity = F.softmax(stacked_similarity, dim=3) sv = torch.einsum('bgij,bgcj->bgci', similarity, v) sve = torch.einsum('bgij,cij->bgci', similarity, v_embedding) stacked_output = torch.cat([sv, sve], dim=-1).view(N * W, self.out_planes * 2, H) output = self.bn_output(stacked_output).view(N, W, self.out_planes, 2, H).sum(dim=-2) if self.width: output = output.permute(0, 2, 1, 3) else: output = output.permute(0, 2, 3, 1) if self.stride > 1: output = self.pooling(output) return output def reset_parameters(self): self.qkv_transform.weight.data.normal_(0, math.sqrt(1. / self.in_planes)) #nn.init.uniform_(self.relative, -0.1, 0.1) nn.init.normal_(self.relative, 0., math.sqrt(1. / self.group_planes)) class AxialBlock(nn.Module): expansion = 2 def __init__(self, inplanes, planes, stride=1, downsample=None, groups=1, base_width=64, dilation=1, norm_layer=None, kernel_size=56): super(AxialBlock, self).__init__() if norm_layer is None: norm_layer = nn.BatchNorm2d width = int(planes * (base_width / 64.)) # Both self.conv2 and self.downsample layers downsample the input when stride != 1 self.conv_down = conv1x1(inplanes, width) self.bn1 = norm_layer(width) self.hight_block = AxialAttention(width, width, groups=groups, kernel_size=kernel_size) self.width_block = AxialAttention(width, width, groups=groups, kernel_size=kernel_size, stride=stride, width=True) self.conv_up = conv1x1(width, planes * self.expansion) self.bn2 = norm_layer(planes * self.expansion) self.relu = nn.ReLU(inplace=True) self.downsample = downsample self.stride = stride def forward(self, x): identity = x out = self.conv_down(x) out = self.bn1(out) out = self.relu(out) # print(out.shape) out = self.hight_block(out) out = self.width_block(out) out = self.relu(out) out = self.conv_up(out) out = self.bn2(out) if self.downsample is not None: identity = self.downsample(x) out += identity out = self.relu(out) return out class qkv_transform(nn.Conv1d): """Conv1d for qkv_transform""" class roadtransformer(nn.Module): def __init__( self, task1_classes=2, task2_classes=37, block=AxialBlock, s=1, layers=[2,1,1,1], block_base=BasicResnetBlock, groups=8, width_per_group=64, in_channels=3, num_stacks=2, num_blocks=1, hg_num_blocks=3, depth=3, ): super(roadtransformer, self).__init__() self.dilation = 1 self.groups = groups self.base_width = width_per_group replace_stride_with_dilation = [False, False, False] self.inplanes = 64 self.num_feats = 128 self.num_stacks = num_stacks self.conv1 = nn.Conv2d( in_channels, self.inplanes, kernel_size=7, stride=2, padding=3, bias=True ) self.bn1 = nn.BatchNorm2d(self.inplanes) self.relu = nn.ReLU(inplace=True) self.layer1 = self._make_residual(block_base, self.inplanes, 1) self.layer2 = self._make_residual(block_base, self.inplanes, num_blocks) self.layer3 = self._make_residual(block_base, self.num_feats, num_blocks) self.maxpool = nn.MaxPool2d(2, stride=2, ceil_mode=True) # # build hourglass modules # ch = self.num_feats * block.expansion # hg = [] # res_1, fc_1, score_1, _fc_1, _score_1 = [], [], [], [], [] # res_2, fc_2, score_2, _fc_2, _score_2 = [], [], [], [], [] ###add transformer encoder img_size = 128 self.trlayer1 = self._make_layer(block, int(128 * s), layers[0], kernel_size= (img_size//2)) self.trlayer2 = self._make_layer(block, int(128 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.trlayer3 = self._make_layer(block, int(128 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.trlayer4 = self._make_layer(block, int(128 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) ###add conv decoder self.trdecoder1 = nn.ConvTranspose2d(int(256*s), int(256*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder2 = nn.ConvTranspose2d(int(256*s), int(256*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder3 = nn.ConvTranspose2d(int(256*s), int(256*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder4 = nn.ConvTranspose2d(int(256*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) # self.trdecoder5 = nn.Conv2d(int(256*s) , int(128*s) , kernel_size=3, stride=1, padding=1) self.tr2decoder1 = nn.ConvTranspose2d(int(256*s), int(256*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder2 = nn.ConvTranspose2d(int(256*s), int(256*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder3 = nn.ConvTranspose2d(int(256*s), int(256*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder4 = nn.ConvTranspose2d(int(256*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) # self.tr2decoder5 = nn.Conv2d(int(256*s) , int(128*s) , kernel_size=3, stride=1, padding=1) # for i in range(num_stacks): # hg.append(HourglassModuleMTL(block, hg_num_blocks, self.num_feats, depth)) # res_1.append(self._make_residual(block, self.num_feats, hg_num_blocks)) # res_2.append(self._make_residual(block, self.num_feats, hg_num_blocks)) # fc_1.append(self._make_fc(ch, ch)) # fc_2.append(self._make_fc(ch, ch)) # score_1.append(nn.Conv2d(ch, task1_classes, kernel_size=1, bias=True)) # score_2.append(nn.Conv2d(ch, task2_classes, kernel_size=1, bias=True)) # if i < num_stacks - 1: # _fc_1.append(nn.Conv2d(ch, ch, kernel_size=1, bias=True)) # _fc_2.append(nn.Conv2d(ch, ch, kernel_size=1, bias=True)) # _score_1.append(nn.Conv2d(task1_classes, ch, kernel_size=1, bias=True)) # _score_2.append(nn.Conv2d(task2_classes, ch, kernel_size=1, bias=True)) # self.hg = nn.ModuleList(hg) # self.res_1 = nn.ModuleList(res_1) # self.fc_1 = nn.ModuleList(fc_1) # self.score_1 = nn.ModuleList(score_1) # self._fc_1 = nn.ModuleList(_fc_1) # self._score_1 = nn.ModuleList(_score_1) # self.res_2 = nn.ModuleList(res_2) # self.fc_2 = nn.ModuleList(fc_2) # self.score_2 = nn.ModuleList(score_2) # self._fc_2 = nn.ModuleList(_fc_2) # self._score_2 = nn.ModuleList(_score_2) # Final Classifier self.decoder1 = DecoderBlock(self.num_feats, self.inplanes) self.decoder1_score = nn.Conv2d( self.inplanes, task1_classes, kernel_size=1, bias=True ) self.finaldeconv1 = nn.ConvTranspose2d(self.inplanes, 32, 3, stride=2) self.finalrelu1 = nn.ReLU(inplace=True) self.finalconv2 = nn.Conv2d(32, 32, 3) self.finalrelu2 = nn.ReLU(inplace=True) self.finalconv3 = nn.Conv2d(32, task1_classes, 2, padding=1) # Final Classifier self.angle_decoder1 = DecoderBlock(self.num_feats, self.inplanes) self.angle_decoder1_score = nn.Conv2d( self.inplanes, task2_classes, kernel_size=1, bias=True ) self.angle_finaldeconv1 = nn.ConvTranspose2d(self.inplanes, 32, 3, stride=2) self.angle_finalrelu1 = nn.ReLU(inplace=True) self.angle_finalconv2 = nn.Conv2d(32, 32, 3) self.angle_finalrelu2 = nn.ReLU(inplace=True) self.angle_finalconv3 = nn.Conv2d(32, task2_classes, 2, padding=1) def _make_layer(self, block, planes, blocks, kernel_size=56, stride=1, dilate=False): norm_layer = nn.BatchNorm2d downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride), norm_layer(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample, groups=self.groups, base_width=self.base_width, dilation=previous_dilation, norm_layer=norm_layer, kernel_size=kernel_size)) self.inplanes = planes * block.expansion if stride != 1: kernel_size = kernel_size // 2 for _ in range(1, blocks): layers.append(block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer, kernel_size=kernel_size)) return nn.Sequential(*layers) def _make_residual(self, block_base, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block_base.expansion: downsample = nn.Sequential( nn.Conv2d( self.inplanes, planes * block_base.expansion, kernel_size=1, stride=stride, bias=True, ) ) layers = [] layers.append(block_base(self.inplanes, planes, stride, downsample=downsample)) self.inplanes = planes * block_base.expansion for i in range(1, blocks): layers.append(block_base(self.inplanes, planes)) return nn.Sequential(*layers) def _make_fc(self, inplanes, outplanes): bn = nn.BatchNorm2d(inplanes) conv = nn.Conv2d(inplanes, outplanes, kernel_size=1, bias=True) return nn.Sequential(conv, bn, self.relu) def forward(self, x): out_1 = [] out_2 = [] rows = x.size(2) cols = x.size(3) x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.layer1(x) x = self.maxpool(x) x = self.layer2(x) x = self.layer3(x) # import pdb # pdb.set_trace() ## Add transformer encoder x1 = self.trlayer1(x) #print(x1.shape) # 256, 64, 64 x2 = self.trlayer2(x1) #print(x2.shape) #512, 32, 32 x3 = self.trlayer3(x2) #print(x3.shape) #1024, 16, 16 x4 = self.trlayer4(x3) #print(x4.shape) #2048, 8, 8 ## Add conv decoder -seg branch y1 = F.relu(self.trdecoder1(x4)) #print(y1.shape) y1 = torch.add(y1, x3) y1 = F.relu(self.trdecoder2(y1)) #print(y1.shape) y1 = torch.add(y1, x2) y1 = F.relu(self.trdecoder3(y1)) #print(y1.shape) y1 = torch.add(y1, x1) y1 = F.relu(self.trdecoder4(y1)) #print(y1.shape) #print(y1.shape) # y1 = F.relu(F.interpolate(self.trdecoder5(y1) , scale_factor=(2,2), mode ='bilinear')) ## Add angle decoder y2 = F.relu(self.tr2decoder1(x4)) y2 = torch.add(y2, x3) y2 = F.relu(self.tr2decoder2(y2)) y2 = torch.add(y2, x2) y2 = F.relu(self.tr2decoder3(y2)) y2 = torch.add(y2, x1) y2 = F.relu(self.tr2decoder4(y2)) # y2 = F.relu(F.interpolate(self.tr2decoder5(y2) , scale_factor=(2,2), mode ='bilinear')) # for i in range(self.num_stacks): # y1, y2 = self.hg[i](x) # y1, y2 = self.res_1[i](y1), self.res_2[i](y2) # y1, y2 = self.fc_1[i](y1), self.fc_2[i](y2) # score1, score2 = self.score_1[i](y1), self.score_2[i](y2) # out_1.append( # score1[:, :, : int(math.ceil(rows / 4.0)), : int(math.ceil(cols / 4.0))] # ) # # out_2.append( # # score2[:, :, : int(math.ceil(rows / 4.0)), : int(math.ceil(cols / 4.0))] # # ) # if i < self.num_stacks - 1: # _fc_1, _fc_2 = self._fc_1[i](y1), self._fc_2[i](y2) # _score_1, _score_2 = self._score_1[i](score1), self._score_2[i](score2) # x = x + _fc_1 + _score_1 + _fc_2 + _score_2 # Final Classification # import pdb # pdb.set_trace() d1 = self.decoder1(y1)[ :, :, : int(math.ceil(rows / 2.0)), : int(math.ceil(cols / 2.0)) ] d1_score = F.interpolate(self.decoder1_score(d1), scale_factor=(0.5,0.5), mode ='bilinear') out_1.append(d1_score) f1 = self.finaldeconv1(d1) f2 = self.finalrelu1(f1) f3 = self.finalconv2(f2) f4 = self.finalrelu2(f3) f5 = self.finalconv3(f4) out_1.append(f5) # Final Classification a_d1 = self.angle_decoder1(y2)[ :, :, : int(math.ceil(rows / 2.0)), : int(math.ceil(cols / 2.0)) ] a_d1_score = F.interpolate(self.angle_decoder1_score(a_d1), scale_factor=(0.5,0.5), mode ='bilinear') out_2.append(a_d1_score) a_f1 = self.angle_finaldeconv1(a_d1) a_f2 = self.angle_finalrelu1(a_f1) a_f3 = self.angle_finalconv2(a_f2) a_f4 = self.angle_finalrelu2(a_f3) a_f5 = self.angle_finalconv3(a_f4) out_2.append(a_f5) # print(out_1.shape, out_2.shape) # import pdb # pdb.set_trace() return out_1, out_2 class roadtransformerv1(nn.Module): def __init__( self, task1_classes=2, block=AxialBlock, s=1, layers=[1,1,1,1], block_base=BasicResnetBlock, groups=8, width_per_group=64, in_channels=3, num_stacks=2, num_blocks=1, hg_num_blocks=3, depth=3, ): super(roadtransformerv1, self).__init__() self.dilation = 1 self.groups = groups self.base_width = width_per_group replace_stride_with_dilation = [False, False, False] self.inplanes = 64 self.num_feats = 128 self.num_stacks = num_stacks self.conv1 = nn.Conv2d( in_channels, self.inplanes, kernel_size=7, stride=2, padding=3, bias=True ) self.bn1 = nn.BatchNorm2d(self.inplanes) self.relu = nn.ReLU(inplace=True) self.layer1 = self._make_residual(block_base, self.inplanes, 1) self.layer2 = self._make_residual(block_base, self.inplanes, num_blocks) self.layer3 = self._make_residual(block_base, self.num_feats, num_blocks) self.maxpool = nn.MaxPool2d(2, stride=2, ceil_mode=True) ###add transformer encoder img_size = 128 self.trlayer1 = self._make_layer(block, int(64 * s), layers[0], kernel_size= (img_size//2)) self.trlayer2 = self._make_layer(block, int(64 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.trlayer3 = self._make_layer(block, int(64 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.trlayer4 = self._make_layer(block, int(64 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) #Skip connection self.skip128 = nn.Conv2d(64, 128, 1, 1, 0) ###add conv decoder self.trdecoder1 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder2 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder3 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder4 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) # Final Classifier self.decoder1 = DecoderBlock(self.num_feats, self.inplanes) self.decoder1_score = nn.Conv2d( self.inplanes, task1_classes, kernel_size=1, bias=True ) self.finaldeconv1 = nn.ConvTranspose2d(self.inplanes, 32, 3, stride=2) self.finalrelu1 = nn.ReLU(inplace=True) self.finalconv2 = nn.Conv2d(32, 32, 3) self.finalrelu2 = nn.ReLU(inplace=True) self.finalconv3 = nn.Conv2d(32, task1_classes, 2, padding=1) def _make_layer(self, block, planes, blocks, kernel_size=56, stride=1, dilate=False): norm_layer = nn.BatchNorm2d downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride), norm_layer(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample, groups=self.groups, base_width=self.base_width, dilation=previous_dilation, norm_layer=norm_layer, kernel_size=kernel_size)) self.inplanes = planes * block.expansion if stride != 1: kernel_size = kernel_size // 2 for _ in range(1, blocks): layers.append(block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer, kernel_size=kernel_size)) return nn.Sequential(*layers) def _make_residual(self, block_base, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block_base.expansion: downsample = nn.Sequential( nn.Conv2d( self.inplanes, planes * block_base.expansion, kernel_size=1, stride=stride, bias=True, ) ) layers = [] layers.append(block_base(self.inplanes, planes, stride, downsample=downsample)) self.inplanes = planes * block_base.expansion for i in range(1, blocks): layers.append(block_base(self.inplanes, planes)) return nn.Sequential(*layers) def _make_fc(self, inplanes, outplanes): bn = nn.BatchNorm2d(inplanes) conv = nn.Conv2d(inplanes, outplanes, kernel_size=1, bias=True) return nn.Sequential(conv, bn, self.relu) def forward(self, x): rows = x.size(2) cols = x.size(3) x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.layer1(x) x = self.maxpool(x) x = self.layer2(x) x = self.layer3(x) ## Add transformer encoder #print(x.shape) x1 = self.trlayer1(x) #print(x1.shape) #x2 = self.trlayer2(x1) #x3 = self.trlayer3(x2) #x4 = self.trlayer4(x3) ## Add conv decoder -seg branch #y1 = F.relu(self.trdecoder1(x4)) #y1 = torch.add(y1, x3) #y1 = F.relu(self.trdecoder2(y1)) #y1 = torch.add(y1, x2) #y1 = F.relu(self.trdecoder3(x2)) #y1 = torch.add(y1, x1) #y1 = F.relu(self.trdecoder4(x1)) #y1 = torch.add(y1, x128) y1 = x1 # Final Classification d1 = self.decoder1(y1)[ :, :, : int(math.ceil(rows / 2.0)), : int(math.ceil(cols / 2.0)) ] f1 = self.finaldeconv1(d1) f2 = self.finalrelu1(f1) f3 = self.finalconv2(f2) f4 = self.finalrelu2(f3) f5 = self.finalconv3(f4) return f5 ################### ROAD TRANSFORMER V2 ###################### # one block - three axial attention layers and three transpose convolution layers class roadtransformerv2(nn.Module): def __init__( self, task1_classes=2, block=AxialBlock, s=1, layers=[1,1,1,1], block_base=BasicResnetBlock, groups=8, width_per_group=64, in_channels=3, num_stacks=2, num_blocks=1, hg_num_blocks=3, depth=3, ): super(roadtransformerv2, self).__init__() self.dilation = 1 self.groups = groups self.base_width = width_per_group replace_stride_with_dilation = [False, False, False] self.inplanes = 64 self.num_feats = 128 self.num_stacks = num_stacks self.conv1 = nn.Conv2d( in_channels, self.inplanes, kernel_size=7, stride=2, padding=3, bias=True ) self.bn1 = nn.BatchNorm2d(self.inplanes) self.relu = nn.ReLU(inplace=True) self.layer1 = self._make_residual(block_base, self.inplanes, 1) self.layer2 = self._make_residual(block_base, self.inplanes, num_blocks) self.layer3 = self._make_residual(block_base, self.num_feats, num_blocks) self.maxpool = nn.MaxPool2d(2, stride=2, ceil_mode=True) ###add transformer encoder img_size = 128 #FIRST TRANSFORMER LAYER self.trlayer1 = self._make_layer(block, int(64 * s), layers[0], kernel_size= (img_size//2)) self.trlayer2 = self._make_layer(block, int(64 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.trlayer3 = self._make_layer(block, int(64 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.trlayer4 = self._make_layer(block, int(64 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) #FIRST DECORDER LAYER self.trdecoder1 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder2 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder3 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.trdecoder4 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) # Final Classifier self.decoder1 = DecoderBlock(self.num_feats, self.inplanes) self.decoder1_score = nn.Conv2d( self.inplanes, task1_classes, kernel_size=1, bias=True ) self.finaldeconv1 = nn.ConvTranspose2d(self.inplanes, 32, 3, stride=2) self.finalrelu1 = nn.ReLU(inplace=True) self.finalconv2 = nn.Conv2d(32, 32, 3) self.finalrelu2 = nn.ReLU(inplace=True) self.finalconv3 = nn.Conv2d(32, task1_classes, 2, padding=1) def _make_layer(self, block, planes, blocks, kernel_size=56, stride=1, dilate=False): norm_layer = nn.BatchNorm2d downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride), norm_layer(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample, groups=self.groups, base_width=self.base_width, dilation=previous_dilation, norm_layer=norm_layer, kernel_size=kernel_size)) self.inplanes = planes * block.expansion if stride != 1: kernel_size = kernel_size // 2 for _ in range(1, blocks): layers.append(block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer, kernel_size=kernel_size)) return nn.Sequential(*layers) def _make_residual(self, block_base, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block_base.expansion: downsample = nn.Sequential( nn.Conv2d( self.inplanes, planes * block_base.expansion, kernel_size=1, stride=stride, bias=True, ) ) layers = [] layers.append(block_base(self.inplanes, planes, stride, downsample=downsample)) self.inplanes = planes * block_base.expansion for i in range(1, blocks): layers.append(block_base(self.inplanes, planes)) return nn.Sequential(*layers) def _make_fc(self, inplanes, outplanes): bn = nn.BatchNorm2d(inplanes) conv = nn.Conv2d(inplanes, outplanes, kernel_size=1, bias=True) return nn.Sequential(conv, bn, self.relu) def forward(self, x): rows = x.size(2) cols = x.size(3) x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.layer1(x) x = self.maxpool(x) x = self.layer2(x) x = self.layer3(x) ## Add transformer encoder #print(x.shape) x1 = self.trlayer1(x) #64 x2 = self.trlayer2(x1) #32 x3 = self.trlayer3(x2) #16 x4 = self.trlayer4(x3) #8 ## Add conv decoder -seg branch y1 = F.relu(self.trdecoder1(x4)) #16 y1 = torch.add(y1, x3) y1 = F.relu(self.trdecoder2(y1)) #32 y1 = torch.add(y1, x2) y1 = F.relu(self.trdecoder3(y1)) #64 y1 = torch.add(y1, x1) # Final Classification d1 = self.decoder1(y1)[ :, :, : int(math.ceil(rows / 2.0)), : int(math.ceil(cols / 2.0)) ] f1 = self.finaldeconv1(d1) f2 = self.finalrelu1(f1) f3 = self.finalconv2(f2) f4 = self.finalrelu2(f3) f5 = self.finalconv3(f4) return f5 ################### ROAD TRANSFORMER V3 ###################### # one block - three axial attention layers and three transpose convolution layers class roadtransformerv3(nn.Module): def __init__( self, task1_classes=2, block=AxialBlock, s=1, layers=[1,1,1,1], block_base=BasicResnetBlock, groups=8, width_per_group=64, in_channels=3, num_stacks=2, num_blocks=1, hg_num_blocks=3, depth=3, ): super(roadtransformerv3, self).__init__() self.dilation = 1 self.groups = groups self.base_width = width_per_group replace_stride_with_dilation = [False, False, False] self.inplanes = 64 self.num_feats = 128 self.num_stacks = num_stacks self.conv1 = nn.Conv2d( in_channels, self.inplanes, kernel_size=7, stride=2, padding=3, bias=True ) self.bn1 = nn.BatchNorm2d(self.inplanes) self.relu = nn.ReLU(inplace=True) self.layer1 = self._make_residual(block_base, self.inplanes, 1) self.layer2 = self._make_residual(block_base, self.inplanes, num_blocks) self.layer3 = self._make_residual(block_base, self.num_feats, num_blocks) self.maxpool = nn.MaxPool2d(2, stride=2, ceil_mode=True) ###add transformer encoder img_size = 128 #FIRST TRANSFORMER LAYER self.tr1layer1 = self._make_layer(block, int(64 * s), layers[0], kernel_size= (img_size//2)) self.tr1layer2 = self._make_layer(block, int(64 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.tr1layer3 = self._make_layer(block, int(64 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.tr1layer4 = self._make_layer(block, int(64 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) #FIRST DECORDER LAYER self.tr1decoder1 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr1decoder2 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr1decoder3 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) #SECOND TRANSFORMER LAYER self.tr2layer1 = self._make_layer(block, int(64 * s), layers[0], kernel_size= (img_size//2)) self.tr2layer2 = self._make_layer(block, int(64 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.tr2layer3 = self._make_layer(block, int(64 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.tr2layer4 = self._make_layer(block, int(64 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) #SECOND DECORDER LAYER self.tr2decoder1 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder2 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder3 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) # Final Classifier self.decoder1 = DecoderBlock(self.num_feats, self.inplanes) self.decoder1_score = nn.Conv2d( self.inplanes, task1_classes, kernel_size=1, bias=True ) self.finaldeconv1 = nn.ConvTranspose2d(self.inplanes, 32, 3, stride=2) self.finalrelu1 = nn.ReLU(inplace=True) self.finalconv2 = nn.Conv2d(32, 32, 3) self.finalrelu2 = nn.ReLU(inplace=True) self.finalconv3 = nn.Conv2d(32, task1_classes, 2, padding=1) def _make_layer(self, block, planes, blocks, kernel_size=56, stride=1, dilate=False): norm_layer = nn.BatchNorm2d downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride), norm_layer(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample, groups=self.groups, base_width=self.base_width, dilation=previous_dilation, norm_layer=norm_layer, kernel_size=kernel_size)) self.inplanes = planes * block.expansion if stride != 1: kernel_size = kernel_size // 2 for _ in range(1, blocks): layers.append(block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer, kernel_size=kernel_size)) return nn.Sequential(*layers) def _make_residual(self, block_base, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block_base.expansion: downsample = nn.Sequential( nn.Conv2d( self.inplanes, planes * block_base.expansion, kernel_size=1, stride=stride, bias=True, ) ) layers = [] layers.append(block_base(self.inplanes, planes, stride, downsample=downsample)) self.inplanes = planes * block_base.expansion for i in range(1, blocks): layers.append(block_base(self.inplanes, planes)) return nn.Sequential(*layers) def _make_fc(self, inplanes, outplanes): bn = nn.BatchNorm2d(inplanes) conv = nn.Conv2d(inplanes, outplanes, kernel_size=1, bias=True) return nn.Sequential(conv, bn, self.relu) def forward(self, x): rows = x.size(2) cols = x.size(3) x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.layer1(x) x = self.maxpool(x) x = self.layer2(x) x = self.layer3(x) ## FIRST TRANSFORMER LAYER x1 = self.tr1layer1(x) #64 x2 = self.tr1layer2(x1) #32 x3 = self.tr1layer3(x2) #16 x4 = self.tr1layer4(x3) #8 y1 = F.relu(self.tr1decoder1(x4)) #16 y1 = torch.add(y1, x3) y1 = F.relu(self.tr1decoder2(y1)) #32 y1 = torch.add(y1, x2) y1 = F.relu(self.tr1decoder3(y1)) #64 #y1 = torch.add(y1, x1) ## SECOND TRANSFORMER LAYER y1 = torch.add(y1, x) x1 = self.tr2layer1(y1) #64 x2 = self.tr2layer2(x1) #32 x3 = self.tr2layer3(x2) #16 x4 = self.tr2layer4(x3) #8 y1 = F.relu(self.tr2decoder1(x4)) #16 y1 = torch.add(y1, x3) y1 = F.relu(self.tr2decoder2(y1)) #32 y1 = torch.add(y1, x2) y1 = F.relu(self.tr2decoder3(y1)) #64 # Final Classification d1 = self.decoder1(y1)[ :, :, : int(math.ceil(rows / 2.0)), : int(math.ceil(cols / 2.0)) ] f1 = self.finaldeconv1(d1) f2 = self.finalrelu1(f1) f3 = self.finalconv2(f2) f4 = self.finalrelu2(f3) f5 = self.finalconv3(f4) return f5 ################### ROAD TRANSFORMER V4 ###################### # one block - three axial attention layers and three transpose convolution layers class roadtransformerv4(nn.Module): def __init__( self, task1_classes=2, block=AxialBlock, s=5, layers=[1,1,1,1], block_base=BasicResnetBlock, groups=8, width_per_group=64, in_channels=3, num_stacks=2, num_blocks=1, hg_num_blocks=3, depth=3, ): super(roadtransformerv4, self).__init__() self.dilation = 1 self.groups = groups self.base_width = width_per_group replace_stride_with_dilation = [False, False, False] self.inplanes = 64 self.num_feats = 128 self.num_stacks = num_stacks self.conv1 = nn.Conv2d( in_channels, self.inplanes, kernel_size=7, stride=2, padding=3, bias=True ) self.bn1 = nn.BatchNorm2d(self.inplanes) self.relu = nn.ReLU(inplace=True) self.layer1 = self._make_residual(block_base, self.inplanes, 1) self.layer2 = self._make_residual(block_base, self.inplanes, num_blocks) self.layer3 = self._make_residual(block_base, self.num_feats, num_blocks) self.maxpool = nn.MaxPool2d(2, stride=2, ceil_mode=True) ###add transformer encoder img_size = 128 #FIRST TRANSFORMER LAYER self.tr1layer1 = self._make_layer(block, int(64 * s), layers[0], kernel_size= (img_size//2)) self.tr1layer2 = self._make_layer(block, int(64 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.tr1layer3 = self._make_layer(block, int(64 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.tr1layer4 = self._make_layer(block, int(64 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) #FIRST DECORDER LAYER self.tr1decoder1 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr1decoder2 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr1decoder3 = nn.ConvTranspose2d(int(128*s), int(128), kernel_size=3, stride=2, padding=1, output_padding=1) self.inplanes = 128 #SECOND TRANSFORMER LAYER self.tr2layer1 = self._make_layer(block, int(64 * s), layers[0], kernel_size= (img_size//2)) self.tr2layer2 = self._make_layer(block, int(64 * s), layers[1], stride=2, kernel_size=(img_size//2), dilate=replace_stride_with_dilation[0]) self.tr2layer3 = self._make_layer(block, int(64 * s), layers[2], stride=2, kernel_size=(img_size//4), dilate=replace_stride_with_dilation[1]) self.tr2layer4 = self._make_layer(block, int(64 * s), layers[3], stride=2, kernel_size=(img_size//8), dilate=replace_stride_with_dilation[2]) #SECOND DECORDER LAYER self.tr2decoder1 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder2 = nn.ConvTranspose2d(int(128*s), int(128*s), kernel_size=3, stride=2, padding=1, output_padding=1) self.tr2decoder3 = nn.ConvTranspose2d(int(128*s), int(128), kernel_size=3, stride=2, padding=1, output_padding=1) # Final Classifier self.decoder1 = DecoderBlock(self.num_feats, self.inplanes) self.decoder1_score = nn.Conv2d( self.inplanes, task1_classes, kernel_size=1, bias=True ) self.finaldeconv1 = nn.ConvTranspose2d(self.inplanes, 32, 3, stride=2) self.finalrelu1 = nn.ReLU(inplace=True) self.finalconv2 = nn.Conv2d(32, 32, 3) self.finalrelu2 = nn.ReLU(inplace=True) self.finalconv3 = nn.Conv2d(32, task1_classes, 2, padding=1) def _make_layer(self, block, planes, blocks, kernel_size=56, stride=1, dilate=False): norm_layer = nn.BatchNorm2d downsample = None previous_dilation = self.dilation if dilate: self.dilation *= stride stride = 1 if stride != 1 or self.inplanes != planes * block.expansion: downsample = nn.Sequential( conv1x1(self.inplanes, planes * block.expansion, stride), norm_layer(planes * block.expansion), ) layers = [] layers.append(block(self.inplanes, planes, stride, downsample, groups=self.groups, base_width=self.base_width, dilation=previous_dilation, norm_layer=norm_layer, kernel_size=kernel_size)) self.inplanes = planes * block.expansion if stride != 1: kernel_size = kernel_size // 2 for _ in range(1, blocks): layers.append(block(self.inplanes, planes, groups=self.groups, base_width=self.base_width, dilation=self.dilation, norm_layer=norm_layer, kernel_size=kernel_size)) return nn.Sequential(*layers) def _make_residual(self, block_base, planes, blocks, stride=1): downsample = None if stride != 1 or self.inplanes != planes * block_base.expansion: downsample = nn.Sequential( nn.Conv2d( self.inplanes, planes * block_base.expansion, kernel_size=1, stride=stride, bias=True, ) ) layers = [] layers.append(block_base(self.inplanes, planes, stride, downsample=downsample)) self.inplanes = planes * block_base.expansion for i in range(1, blocks): layers.append(block_base(self.inplanes, planes)) return nn.Sequential(*layers) def _make_fc(self, inplanes, outplanes): bn = nn.BatchNorm2d(inplanes) conv = nn.Conv2d(inplanes, outplanes, kernel_size=1, bias=True) return nn.Sequential(conv, bn, self.relu) def forward(self, x): rows = x.size(2) cols = x.size(3) x = self.conv1(x) x = self.bn1(x) x = self.relu(x) x = self.layer1(x) x = self.maxpool(x) x = self.layer2(x) x = self.layer3(x) ## FIRST TRANSFORMER LAYER x1 = self.tr1layer1(x) #64 x2 = self.tr1layer2(x1) #32 x3 = self.tr1layer3(x2) #16 x4 = self.tr1layer4(x3) #8 y1 = F.relu(self.tr1decoder1(x4)) #16 y1 = torch.add(y1, x3) y1 = F.relu(self.tr1decoder2(y1)) #32 y1 = torch.add(y1, x2) y1 = F.relu(self.tr1decoder3(y1)) #64 ## SECOND TRANSFORMER LAYER y1 = torch.add(y1, x) x1 = self.tr2layer1(y1) #64 x2 = self.tr2layer2(x1) #32 x3 = self.tr2layer3(x2) #16 x4 = self.tr2layer4(x3) #8 y1 = F.relu(self.tr2decoder1(x4)) #16 y1 = torch.add(y1, x3) y1 = F.relu(self.tr2decoder2(y1)) #32 y1 = torch.add(y1, x2) y1 = F.relu(self.tr2decoder3(y1)) #64 # Final Classification d1 = self.decoder1(y1)[ :, :, : int(math.ceil(rows / 2.0)), : int(math.ceil(cols / 2.0)) ] f1 = self.finaldeconv1(d1) f2 = self.finalrelu1(f1) f3 = self.finalconv2(f2) f4 = self.finalrelu2(f3) f5 = self.finalconv3(f4) return f5

40.348601

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null

0

7

6663c693aef1fba9be33c1808e96b0df3c6175ce

90

py

Python

rio_tiler_pds/cbers/aws/__init__.py

cogeotiff/rio-tiler-pds

52482c80baf7fd26cf06cd2af2961cca396b20e0

[ "BSD-3-Clause" ]

30

2020-07-21T23:32:14.000Z

2022-02-21T23:35:35.000Z

rio_tiler_pds/cbers/aws/__init__.py

cogeotiff/rio-tiler-pds

52482c80baf7fd26cf06cd2af2961cca396b20e0

[ "BSD-3-Clause" ]

36

2020-07-21T20:48:51.000Z

2021-10-06T08:15:00.000Z

rio_tiler_pds/cbers/aws/__init__.py

cogeotiff/rio-tiler-pds

52482c80baf7fd26cf06cd2af2961cca396b20e0

[ "BSD-3-Clause" ]

4

2020-07-23T06:19:30.000Z

2021-11-18T03:27:04.000Z

"""rio-tiler-pds.cbers""" from rio_tiler_pds.cbers.aws.cbers4 import CBERSReader # noqa

22.5

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0.714286

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0.333333

0.484848

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0

1

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1

0

7

6674345667a61c3fa1d4449402dbaaf5e0b6240e

4,287

py

Python

prun_table.py

artec-kk/Studth

52cfa9c61355852163e1e4b42832480f51fda410

[ "MIT" ]

3

2020-12-20T11:43:00.000Z

2020-12-20T17:32:19.000Z

prun_table.py

Nyanyan/VirtualRubiksCubeSolver

9096f1ebe48b880ade01ee8e22324c9017e41d4d

[ "MIT" ]

1

2021-04-19T09:08:02.000Z

prun_table.py

Nyanyan/VirtualRubiksCubeSolver

9096f1ebe48b880ade01ee8e22324c9017e41d4d

[ "MIT" ]

1

2021-03-11T09:26:49.000Z

from basic_functions import * import csv from collections import deque inf = 1000 def table_phase0(): trans_ep = [] with open('trans_ep_phase0.csv', mode='r') as f: for line in map(str.strip, f): trans_ep.append([int(i) for i in line.replace('\n', '').split(',')]) trans = [] with open('trans_co.csv', mode='r') as f: for line in map(str.strip, f): trans.append([int(i) for i in line.replace('\n', '').split(',')]) table = [[inf for _ in range(2187)] for _ in range(495)] solved1 = ep2idx_phase0(list(range(12))) solved2 = co2idx([0 for _ in range(8)]) que = deque([[solved1, solved2, 0]]) table[solved1][solved2] = 0 cnt = 0 while que: idx1, idx2, cost = que.popleft() cost += 1 for twist_idx, twist in enumerate(candidate[0]): n_idx1 = trans_ep[idx1][twist_idx] n_idx2 = trans[idx2][twist_idx] if table[n_idx1][n_idx2] > cost: table[n_idx1][n_idx2] = cost que.append([n_idx1, n_idx2, cost]) with open('prun_phase0_co_ep.csv', mode='w') as f: writer = csv.writer(f, lineterminator='\n') for arr in table: writer.writerow(arr) trans = [] with open('trans_eo.csv', mode='r') as f: for line in map(str.strip, f): trans.append([int(i) for i in line.replace('\n', '').split(',')]) table = [[inf for _ in range(2048)] for _ in range(495)] solved1 = ep2idx_phase0(list(range(12))) solved2 = eo2idx([0 for _ in range(12)]) que = deque([[solved1, solved2, 0]]) table[solved1][solved2] = 0 while que: idx1, idx2, cost = que.popleft() cost += 1 for twist_idx, twist in enumerate(candidate[0]): n_idx1 = trans_ep[idx1][twist_idx] n_idx2 = trans[idx2][twist_idx] if table[n_idx1][n_idx2] > cost: table[n_idx1][n_idx2] = cost que.append([n_idx1, n_idx2, cost]) with open('prun_phase0_eo_ep.csv', mode='w') as f: writer = csv.writer(f, lineterminator='\n') for arr in table: writer.writerow(arr) def table_phase1(): trans_ep = [] with open('trans_ep_phase1_2.csv', mode='r') as f: for line in map(str.strip, f): trans_ep.append([int(i) for i in line.replace('\n', '').split(',')]) trans = [] with open('trans_cp.csv', mode='r') as f: for line in map(str.strip, f): trans.append([int(i) for i in line.replace('\n', '').split(',')]) table = [[inf for _ in range(40320)] for _ in range(24)] solved1 = ep2idx_phase1_2(list(range(12))) solved2 = cp2idx(list(range(8))) table[solved1][solved2] = 0 que = deque([[solved1, solved2, 0]]) while que: idx1, idx2, cost = que.popleft() cost += 1 for twist_idx, twist in enumerate(candidate[1]): n_idx1 = trans_ep[idx1][twist_idx] n_idx2 = trans[idx2][twist_idx] if table[n_idx1][n_idx2] > cost: table[n_idx1][n_idx2] = cost que.append([n_idx1, n_idx2, cost]) with open('prun_phase1_cp_ep.csv', mode='w') as f: writer = csv.writer(f, lineterminator='\n') for arr in table: writer.writerow(arr) trans = [] with open('trans_ep_phase1_1.csv', mode='r') as f: for line in map(str.strip, f): trans.append([int(i) for i in line.replace('\n', '').split(',')]) table = [[inf for _ in range(40320)] for _ in range(24)] solved1 = ep2idx_phase1_2(list(range(12))) solved2 = ep2idx_phase1_1(list(range(12))) table[solved1][solved2] = 0 que = deque([[solved1, solved2, 0]]) while que: idx1, idx2, cost = que.popleft() cost += 1 for twist_idx, twist in enumerate(candidate[1]): n_idx1 = trans_ep[idx1][twist_idx] n_idx2 = trans[idx2][twist_idx] if table[n_idx1][n_idx2] > cost: table[n_idx1][n_idx2] = cost que.append([n_idx1, n_idx2, cost]) with open('prun_phase1_ep_ep.csv', mode='w') as f: writer = csv.writer(f, lineterminator='\n') for arr in table: writer.writerow(arr) table_phase0() table_phase1()

37.938053

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0.565664

625

4,287

3.7232

0.1152

0.055006

0.030941

0.051569

0.902879

0.896863

0.877954

0.847443

0

0.053722

0.279216

4,287

113

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37.938053

0.699353

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0

0.047619

0

null

0

1

0

1

0

null

0

7

66bd86cd6dd1bc20bbc00c99834357180a14981b

422

py

Python

src/testcase/GN_Y201S/input_case/GN_Y201S_Delay_Timer.py

maiyajj/AutoTest_script-Appium_Connect

f9c2c42c281a9e2f984acb4a72dda0694b053f22

[ "Apache-2.0" ]

28

2017-11-10T00:19:16.000Z

2022-02-19T16:42:05.000Z

src/testcase/GN_Y201S/input_case/GN_Y201S_Delay_Timer.py

maiyajj/AutoTest_script-Appium_Connect

f9c2c42c281a9e2f984acb4a72dda0694b053f22

[ "Apache-2.0" ]

null

src/testcase/GN_Y201S/input_case/GN_Y201S_Delay_Timer.py

maiyajj/AutoTest_script-Appium_Connect

f9c2c42c281a9e2f984acb4a72dda0694b053f22

[ "Apache-2.0" ]

23

2017-08-22T06:12:19.000Z

2021-09-18T05:45:41.000Z

# coding=utf-8 try: from src.testcase.GN_Y201S.case.GN_Y201S_DELAY_TIMER.GN_Y201S_DELAY_TIMER_001 import * from src.testcase.GN_Y201S.case.GN_Y201S_DELAY_TIMER.GN_Y201S_DELAY_TIMER_002 import * from src.testcase.GN_Y201S.case.GN_Y201S_DELAY_TIMER.GN_Y201S_DELAY_TIMER_003 import * from src.testcase.GN_Y201S.case.GN_Y201S_DELAY_TIMER.GN_Y201S_DELAY_TIMER_004 import * except ImportError as e: print(e)

46.888889

90

0.822275

74

422

4.256757

0.297297

0.266667

0.304762

0.431746

0.819048

0

0.12963

0.104265

422

8

91

52.75

0.703704

0.028436

0

1

0

true

0

0.714286

0

0.714286

0.142857

0

null

1

0

1

0

null

0

1

0

1

0

1

0

13

dd0f4eb8c4f1dc20e0fd25780cbdd6e07f04d05b

5,488

py

Python

tests/test_metadata.py

awst-baum/c3s_sm

b94ebe98766bd4a48d663c2bf0c8b690abcb5cce

[ "MIT" ]

null

tests/test_metadata.py

awst-baum/c3s_sm

b94ebe98766bd4a48d663c2bf0c8b690abcb5cce

[ "MIT" ]

null

tests/test_metadata.py

awst-baum/c3s_sm

b94ebe98766bd4a48d663c2bf0c8b690abcb5cce

[ "MIT" ]

null

# -*- coding: utf-8 -*- from c3s_sm.metadata import C3S_daily_tsatt_nc, C3S_SM_TS_Attrs, C3S_dekmon_tsatt_nc def test_daily_metadata_default_active(): default_attr = C3S_SM_TS_Attrs('active') assert(default_attr.version == 'v0000') assert(default_attr.product_sensor_type == 'active') assert(default_attr.version_sub_string == '.0.0') assert(default_attr.sm_full_name == 'Percent of Saturation Soil Moisture Uncertainty') assert(default_attr.sm_units == "percentage (%)") default_attr.flag() assert(default_attr.flag_values[0] == 0) assert(default_attr.flag_meanings.split(' ')[0] == 'no_data_inconsistency_detected') assert(default_attr.flag_values[10] == 17) assert(default_attr.flag_meanings.split(' ')[10] == 'combination_of_flag_values_1_and_16') default_attr.freqbandID_flag() assert (default_attr.freqbandID_flag_values[0] == 0) assert (default_attr.freqbandID_flag_meanings.split(' ')[0] == 'NaN') assert (default_attr.freqbandID_flag_values[10] == 34) assert (default_attr.freqbandID_flag_meanings.split(' ')[10] == 'C53+C73') default_attr.sensor_flag() assert (default_attr.sensor_flag_values[0] == 0) assert (default_attr.sensor_flag_meanings.split(' ')[0] == 'NaN') assert (default_attr.sensor_flag_values[10] == 132) assert (default_attr.sensor_flag_meanings.split(' ')[10] == 'TMI+AMIWS') default_attr.mode_flag() assert (default_attr.mode_flag_values[0] == 0) assert (default_attr.mode_flag_meanings.split(' ')[0] == 'nan') assert (default_attr.mode_flag_values[3] == 3) assert (default_attr.mode_flag_meanings.split(' ')[3] == 'ascending_descending_combination') def test_daily_metadata_default_passive_and_combined(): for sensor in ['passive', 'combined']: default_attr = C3S_SM_TS_Attrs(sensor) assert (default_attr.version == 'v0000') assert (default_attr.product_sensor_type == sensor) assert (default_attr.version_sub_string == '.0.0') assert (default_attr.sm_full_name == 'Volumetric Soil Moisture Uncertainty') assert (default_attr.sm_units == "m3 m-3") default_attr.flag() assert (default_attr.flag_values[0] == 0) assert (default_attr.flag_meanings.split(' ')[0] == 'no_data_inconsistency_detected') assert (default_attr.flag_values[10] == 17) assert (default_attr.flag_meanings.split(' ')[10] == 'combination_of_flag_values_1_and_16') default_attr.freqbandID_flag() assert (default_attr.freqbandID_flag_values[0] == 0) assert (default_attr.freqbandID_flag_meanings.split(' ')[0] == 'NaN') assert (default_attr.freqbandID_flag_values[10] == 34) assert (default_attr.freqbandID_flag_meanings.split(' ')[10] == 'C53+C73') default_attr.sensor_flag() assert (default_attr.sensor_flag_values[0] == 0) assert (default_attr.sensor_flag_meanings.split(' ')[0] == 'NaN') assert (default_attr.sensor_flag_values[10] == 132) assert (default_attr.sensor_flag_meanings.split(' ')[10]== 'TMI+AMIWS') default_attr.mode_flag() assert (default_attr.mode_flag_values[0] == 0) assert (default_attr.mode_flag_meanings.split(' ')[0] == 'nan') assert (default_attr.flag_values[3] == 3) assert (default_attr.mode_flag_meanings.split(' ')[3] == 'ascending_descending_combination') def test_C3s_daily_tsatt_nc(): subtype = 'TCDR' sensor = 'active' dob = C3S_daily_tsatt_nc(C3S_SM_TS_Attrs, product_sub_type=subtype, product_sensor_type=sensor, sub_version='.9.9') glob = dob.global_attr assert glob == {'product': 'C3S-SOILMOISTURE-L3S-SSMS-%s-%s-%s-v0000.9.9' %(sensor.upper(), 'DAILY', subtype), 'resolution': '0.25 degree', 'temporalspacing': 'daily'} assert dob.ts_attributes['flag']['flag_values'].size == 18 sm_should = {'units': 'percentage (%)', 'full_name': 'Percent of Saturation Soil Moisture Uncertainty'} assert dob.ts_attributes['sm'] == sm_should assert dob.ts_attributes['mode']['flag_values'].size == 4 t0_should = {'units': 'days since 1970-01-01 00:00:00 UTC', 'full_name': 'Observation Timestamp'} assert dob.ts_attributes['t0'] == t0_should def test_C3s_dekmon_tsatt_nc(): subtype = 'TCDR' sensor = 'passive' dob = C3S_dekmon_tsatt_nc(C3S_SM_TS_Attrs, product_sub_type=subtype, product_sensor_type=sensor, sub_version='.9.9') glob = dob.global_attr assert glob == {'product': 'C3S-SOILMOISTURE-L3S-SSMV-%s-%s-%s-v0000.9.9' % (sensor.upper(), 'MONTHLY', subtype), 'resolution': '0.25 degree', 'temporalspacing': 'monthly'} assert dob.ts_attributes['freqbandID']['flag_values'].size == 19 sm_should = {'units': 'm3 m-3', 'full_name': 'Volumetric Soil Moisture Uncertainty'} assert dob.ts_attributes['sm'] == sm_should assert dob.ts_attributes['nobs'] == {'full_name': 'Number of valid observation'} t0_should = {'units': 'days since 1970-01-01 00:00:00 UTC', 'full_name': 'Observation Timestamp'} assert dob.ts_attributes['sensor']['flag_values'].size == 27 if __name__ == '__main__': test_C3s_dekmon_tsatt_nc() test_C3s_daily_tsatt_nc() test_daily_metadata_default_passive_and_combined() test_daily_metadata_default_active()

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false

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null

0

1

0

8

dd1925a25f05d0c1e383dff972c880006c02219d

6,210

py

Python

tests/test_consume_handler.py

LaVita-GmbH/celery-message-consumer

cbead6a9cb8774caa883e6338083e073e09427ad

[ "Apache-2.0" ]

40

2018-06-06T05:16:01.000Z

2022-03-29T11:21:31.000Z

tests/test_consume_handler.py

LaVita-GmbH/celery-message-consumer

cbead6a9cb8774caa883e6338083e073e09427ad

[ "Apache-2.0" ]

9

2018-10-03T05:40:45.000Z

2021-10-01T07:49:41.000Z

tests/test_consume_handler.py

LaVita-GmbH/celery-message-consumer

cbead6a9cb8774caa883e6338083e073e09427ad

[ "Apache-2.0" ]

15

2018-01-26T15:20:37.000Z

2022-03-01T13:38:53.000Z

import socket from flaky import flaky import mock from event_consumer import message_handler from event_consumer import handlers as ec from .base import BaseConsumerIntegrationTest class ConsumeMessageHandlerTest(BaseConsumerIntegrationTest): @flaky(max_runs=5, min_passes=5) def test_consume_basic(self): """ Should run the wrapped function when a message arrives with its routing key. """ with mock.patch.object(ec, 'REGISTRY', new=dict()) as reg: f1 = message_handler('my.routing.key1')( mock.MagicMock(__name__='mock_handler1') ) f2 = message_handler('my.routing.key2')( mock.MagicMock(__name__='mock_handler2') ) assert len(reg) == 2 self.configure_handlers() assert len(self.handlers) == len(reg) h1 = self.get_handlers_for_key('my.routing.key1')[0] h2 = self.get_handlers_for_key('my.routing.key2')[0] p1 = self.get_producer(h1) p2 = self.get_producer(h2) body1 = self.body() body2 = self.body() p1.publish(body1) p2.publish(body2) for _ in range(2): self.connection.drain_events(timeout=0.3) f1.assert_called_once_with(body1) f2.assert_called_once_with(body2) # no retries: e = None try: self.connection.drain_events(timeout=0.3) except socket.timeout as exc: e = exc self.assertIsNotNone(e, msg="e=None here means task was unexpectedly retried") # no further calls f1.call_count = 1 f2.call_count = 1 @flaky(max_runs=5, min_passes=5) def test_consume_custom_queue_name(self): """ Should run the wrapped function when a message arrives with its routing key. Test that we can connect multiple routing keys on the same queue and the appropriate handler will be called in each case. """ with mock.patch.object(ec, 'REGISTRY', new=dict()) as reg: # we have to use a named exchange to be able to bind a custom queue name f1 = message_handler('my.routing.key1', queue='custom_queue', exchange='custom')( mock.MagicMock(__name__='mock_handler1') ) assert len(reg) == 1 self.configure_handlers() assert len(self.handlers) == len(reg) h1 = self.get_handlers_for_key('my.routing.key1')[0] p1 = self.get_producer(h1) body1 = self.body() p1.publish(body1) self.connection.drain_events(timeout=0.3) f1.assert_called_once_with(body1) # no retries: e = None try: self.connection.drain_events(timeout=0.3) except socket.timeout as exc: e = exc self.assertIsNotNone(e, msg="e=None here means task was unexpectedly retried") # no further calls f1.call_count = 1 @flaky(max_runs=5, min_passes=5) def test_consume_wildcard_route(self): """ Should run the wrapped function when a message arrives with its routing key. Test that we can connect multiple routing keys on the same queue and the appropriate handler will be called in each case. """ with mock.patch.object(ec, 'REGISTRY', new=dict()) as reg: f1 = message_handler('my.routing.*', exchange='custom')( mock.MagicMock(__name__='mock_handler1') ) assert len(reg) == 1 self.configure_handlers() assert len(self.handlers) == len(reg) h1 = self.get_handlers_for_key('my.routing.*')[0] p1 = self.get_producer(h1, 'my.routing.key1') p2 = self.get_producer(h1, 'my.routing.key2') body1 = self.body() body2 = self.body() p1.publish(body1) p2.publish(body2) for _ in range(2): self.connection.drain_events(timeout=0.3) f1.assert_has_calls([mock.call(body1), mock.call(body2)], any_order=True) # no retries: e = None try: self.connection.drain_events(timeout=0.3) except socket.timeout as exc: e = exc self.assertIsNotNone(e, msg="e=None here means task was unexpectedly retried") # no further calls f1.call_count = 2 @flaky(max_runs=5, min_passes=5) def test_consume_multiple_routes(self): """ Should run the wrapped function when a message arrives with its routing key. Test that we can connect multiple routing keys on the same queue and the appropriate handler will be called in each case. """ with mock.patch.object(ec, 'REGISTRY', new=dict()) as reg: decorator = message_handler( ['my.routing.key1', 'my.routing.key2'], exchange='custom', ) f1 = decorator(mock.MagicMock(__name__='mock_handler1')) assert len(reg) == 2 self.configure_handlers() assert len(self.handlers) == len(reg) h1 = self.get_handlers_for_key('my.routing.key1')[0] h2 = self.get_handlers_for_key('my.routing.key2')[0] p1 = self.get_producer(h1) p2 = self.get_producer(h2) body1 = self.body() body2 = self.body() p1.publish(body1) p2.publish(body2) for _ in range(2): self.connection.drain_events(timeout=0.3) f1.assert_has_calls([mock.call(body1), mock.call(body2)], any_order=True) # no retries: e = None try: self.connection.drain_events(timeout=0.3) except socket.timeout as exc: e = exc self.assertIsNotNone(e, msg="e=None here means task was unexpectedly retried") # no further calls f1.call_count = 2

33.031915

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6,210

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0.034483

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null

0

1

0

1

0

null

0

7

dd2d731db5a41e82c6c83e0e33cbab084191eea9

6,373

py

Python

tests/unit/bucket/bucket_test.py

abeja-inc/abeja-platform-cli

bed60642ee46656a5bfec5577d876e54c88bfd3f

[ "Apache-2.0" ]

2

2020-06-19T23:07:38.000Z

2021-06-03T10:44:39.000Z

tests/unit/bucket/bucket_test.py

abeja-inc/abeja-platform-cli

bed60642ee46656a5bfec5577d876e54c88bfd3f

[ "Apache-2.0" ]

20

2020-04-07T07:48:42.000Z

2020-09-07T09:18:43.000Z

tests/unit/bucket/bucket_test.py

abeja-inc/abeja-platform-cli

bed60642ee46656a5bfec5577d876e54c88bfd3f

[ "Apache-2.0" ]

1

2021-06-01T13:38:19.000Z

from unittest import TestCase import requests import requests_mock from abejacli.bucket import ( generate_bucket_file_iter, generate_bucket_file_iter_by_id ) from abejacli.config import DATALAKE_ITEMS_PER_PAGE, ORGANIZATION_ENDPOINT FILE = { "expires": "2017-11-21T02:18:16+00:00", "metadata": { "x-abeja-meta-filename": "file2/file2-2.txt" }, "file_id": "file2/file2-2.txt", "is_file": True, "size": 4, "etag": "etag", "download_uri": "https://abeja-storage-bucket-dev.s3.amazonaws.com/1122334455667/1981155819522/file2/file2-2.txt?AWSAccessKeyId=ASIAIS6VOBREHPTWAQDA&Signature=Riaqm%2B4sJz9fc2J0GIsvIIAROG8%3D&x-amz-security-token=FQoDYXdzEN7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaDGO9U9SxYJDxdzmbMyKCAnNauIDasGDp9mNIHaSbhG8PIXZWA193DiNcFqRvd4BlfA9VB2ZjohVJNnMLssOQBLkrK5Tgc7ixxgTuon2pkeew9IEiyxHjDm8T3jjLbUCUWqUDuy0JKdYjTqYGQ4SJBUSEGsFOfyUIDW1VqXPAdmgHC3p%2BMOOBI07uW6%2BThG50EjCttzrCYX9ka73R3Tj6Iqe4bnj3ogl909o9%2Fen1yRJ6uEGGkbfXCMJsAGrDrRY5bJxcjS4uCQLidqxQM1nbumNc%2F2WipjF7AK1wQQl50eEO%2FG9%2F%2Fc81Bjv767GazeCraSnukGggMTcqEOeUQEAlxgTo7lh6ykbl0JU%2BMs0Hks08DiiHhc3QBQ%3D%3D&Expires=1511230696", # noqa } FILES = [ { "expires": "2017-11-21T02:18:16+00:00", "metadata": { "x-abeja-meta-filename": "file2/file2-2.txt" }, "file_id": "file2/file2-2.txt", "is_file": True, "size": 4, "etag": "etag", "download_uri": "https://abeja-storage-bucket-dev.s3.amazonaws.com/1122334455667/1981155819522/file2/file2-2.txt?AWSAccessKeyId=ASIAIS6VOBREHPTWAQDA&Signature=Riaqm%2B4sJz9fc2J0GIsvIIAROG8%3D&x-amz-security-token=FQoDYXdzEN7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaDGO9U9SxYJDxdzmbMyKCAnNauIDasGDp9mNIHaSbhG8PIXZWA193DiNcFqRvd4BlfA9VB2ZjohVJNnMLssOQBLkrK5Tgc7ixxgTuon2pkeew9IEiyxHjDm8T3jjLbUCUWqUDuy0JKdYjTqYGQ4SJBUSEGsFOfyUIDW1VqXPAdmgHC3p%2BMOOBI07uW6%2BThG50EjCttzrCYX9ka73R3Tj6Iqe4bnj3ogl909o9%2Fen1yRJ6uEGGkbfXCMJsAGrDrRY5bJxcjS4uCQLidqxQM1nbumNc%2F2WipjF7AK1wQQl50eEO%2FG9%2F%2Fc81Bjv767GazeCraSnukGggMTcqEOeUQEAlxgTo7lh6ykbl0JU%2BMs0Hks08DiiHhc3QBQ%3D%3D&Expires=1511230696", # noqa }, { "expires": "2017-11-21T02:18:16+00:00", "metadata": { "x-abeja-meta-filename": "file1.txt" }, "file_id": "file1.txt", "is_file": True, "size": 4, "etag": "etag", "download_uri": "https://abeja-storage-bucket-dev.s3.amazonaws.com/1122334455667/1981155819522/file1.txt?AWSAccessKeyId=ASIAIS6VOBREHPTWAQDA&Signature=Riaqm%2B4sJz9fc2J0GIsvIIAROG8%3D&x-amz-security-token=FQoDYXdzEN7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaDGO9U9SxYJDxdzmbMyKCAnNauIDasGDp9mNIHaSbhG8PIXZWA193DiNcFqRvd4BlfA9VB2ZjohVJNnMLssOQBLkrK5Tgc7ixxgTuon2pkeew9IEiyxHjDm8T3jjLbUCUWqUDuy0JKdYjTqYGQ4SJBUSEGsFOfyUIDW1VqXPAdmgHC3p%2BMOOBI07uW6%2BThG50EjCttzrCYX9ka73R3Tj6Iqe4bnj3ogl909o9%2Fen1yRJ6uEGGkbfXCMJsAGrDrRY5bJxcjS4uCQLidqxQM1nbumNc%2F2WipjF7AK1wQQl50eEO%2FG9%2F%2Fc81Bjv767GazeCraSnukGggMTcqEOeUQEAlxgTo7lh6ykbl0JU%2BMs0Hks08DiiHhc3QBQ%3D%3D&Expires=1511230696", # noqa }, ] class GenerateFilePeriodIterTest(TestCase): @requests_mock.Mocker() def test_iter_file_period(self, mock): bucket_id = '1282495447337' res = { 'files': FILES, 'next_start_after': 'file1.txt', } url = '{}/buckets/{}/files?items_per_page={}'.format( ORGANIZATION_ENDPOINT, bucket_id, DATALAKE_ITEMS_PER_PAGE) mock.register_uri('GET', url, json=res) res2 = { 'files': [], 'next_start_after': 'file1.txt', } url = '{}/buckets/{}/files?items_per_page={}&start_after=file1.txt'.format( ORGANIZATION_ENDPOINT, bucket_id, DATALAKE_ITEMS_PER_PAGE) mock.register_uri('GET', url, json=res2) it = generate_bucket_file_iter(bucket_id) assert FILES == list(it) @requests_mock.Mocker() def test_iter_file_period_empty(self, mock): bucket_id = '1282495447337' res = { 'files': [], 'next_start_after': 'file1.txt', } url = '{}/buckets/{}/files?items_per_page={}'.format( ORGANIZATION_ENDPOINT, bucket_id, DATALAKE_ITEMS_PER_PAGE) mock.register_uri('GET', url, json=res) it = generate_bucket_file_iter(bucket_id) assert 0 == len(list(it)) @requests_mock.Mocker() def test_iter_file_period_pagination(self, mock): bucket_id = '1282495447337' next_start_after = 'file1.txt' # noqa first_res = { 'files': FILES[:1], 'next_start_after': next_start_after, } first_page_url = '{}/buckets/{}/files'.format(ORGANIZATION_ENDPOINT, bucket_id) next_start_after2 = 'file2/file2-2.txt' second_res = { 'files': FILES[1:], 'next_start_after': next_start_after2, } second_page_url = '{}/buckets/{}/files?start_after={}'.format( ORGANIZATION_ENDPOINT, bucket_id, next_start_after) third_res = { 'files': [], 'next_start_after': 'dummy', } third_page_url = '{}/buckets/{}/files?start_after={}'.format( ORGANIZATION_ENDPOINT, bucket_id, next_start_after2) mock.register_uri('GET', first_page_url, json=first_res) mock.register_uri('GET', second_page_url, json=second_res) mock.register_uri('GET', third_page_url, json=third_res) it = generate_bucket_file_iter(bucket_id) assert FILES == list(it) class GenerateFileIdIterTest(TestCase): @requests_mock.Mocker() def test_iter_file_id(self, mock): bucket_id = '1282495447337' file_id = '20171116T071056/9e6463607e6e' url = '{}/buckets/{}/files/{}'.format(ORGANIZATION_ENDPOINT, bucket_id, file_id) mock.register_uri('GET', url, json=FILE) file_ids = [file_id] it = generate_bucket_file_iter_by_id(bucket_id, *file_ids) assert [FILE] == list(it) @requests_mock.Mocker() def test_iter_file_id_not_found(self, mock): bucket_id = '1282495447337' file_id = '20171116T071056/9e6463607e6e' url = '{}/buckets/{}/files/{}'.format(ORGANIZATION_ENDPOINT, bucket_id, file_id) mock.register_uri('GET', url, json=FILE, status_code=404) file_ids = [file_id] with self.assertRaises(requests.HTTPError): it = generate_bucket_file_iter_by_id(bucket_id, *file_ids) list(it)

45.198582

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0.040984

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null

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0

1

0

null

0

7

dd468423d481de6165d78402654a7b7f01f919c3

7,352

py

Python

app/laboratorio/migrations/0001_initial.py

echosisdev/siecho

ce9dd5ce9090e9e96c2c6e149c84fb26894058f9

[ "MIT" ]

null

app/laboratorio/migrations/0001_initial.py

echosisdev/siecho

ce9dd5ce9090e9e96c2c6e149c84fb26894058f9

[ "MIT" ]

null

app/laboratorio/migrations/0001_initial.py

echosisdev/siecho

ce9dd5ce9090e9e96c2c6e149c84fb26894058f9

[ "MIT" ]

null

# Generated by Django 3.2.7 on 2021-10-06 21:18 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('core', '0001_initial'), ] operations = [ migrations.CreateModel( name='ExameClinico', fields=[ ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('data_pedido', models.DateTimeField()), ('data_colheita', models.DateTimeField()), ('data_resultado', models.DateTimeField()), ('globulos_brancos', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('globulos_vermelhos', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('hemoglobina', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('hematorcito', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('vol_corpuscular_med', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('conc_media_hemoglob_corp', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('plaquetas', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('larg_distr_gv', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('velc_sedime_gv', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('vol_medio_plaquetas', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('tipagem_sanguinea', models.CharField(blank=True, max_length=255, null=True)), ('linfocitos_perc', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('linfocitos_abs', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('neutrofilos_perc', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('neutrofilos_abs', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('eosinofilo_perc', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('eosinofilo_abs', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('basofio_perc', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('basofio_abs', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('monocito_perc', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('monocito_abs', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('teste_vdr', models.CharField(blank=True, max_length=50, null=True)), ('rpr', models.CharField(blank=True, max_length=50, null=True)), ('cd4_abs', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('cd4_perc', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('geneexpert', models.CharField(blank=True, max_length=50, null=True)), ('xpert_mtb', models.CharField(blank=True, max_length=50, null=True)), ('nivel_mtb_detetado', models.CharField(blank=True, max_length=50, null=True)), ('resistencia_rifampin', models.CharField(blank=True, max_length=50, null=True)), ('cultura', models.CharField(blank=True, max_length=50, null=True)), ('tb_lam', models.CharField(blank=True, max_length=50, null=True)), ('carga_viral', models.CharField(blank=True, max_length=50, null=True)), ('baciloscopial', models.CharField(blank=True, max_length=50, null=True)), ('nivel_positividade', models.CharField(blank=True, max_length=50)), ('albumina', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('asparato_aminotransferiase', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('alanina_aminotransferiase', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('amilase', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('birrubina', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('birrubina_direita', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('colesterol_total', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('hdl_colesterol', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('ldl_colesterol', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('creatina', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('creatina_quinase', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('fosfatase_alcalina', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('gama_glutamil', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('glucose', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('lactato_desidrogenase', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('lactato', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('lipase', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('total_proteina', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('triglicerides', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('ureia', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('cloreto', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('potassio', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('sodio', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('globulinas', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('pcr', models.CharField(blank=True, max_length=50, null=True)), ('location', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.location')), ('paciente', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='core.paciente')), ], options={ 'verbose_name': 'Exame Clinico', 'verbose_name_plural': 'Exames Clinicos', }, ), ]

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null

0

8

dd4883ce326da35c2f6b5aa8b9c9f6620149c38c

8,593

py

Python

tests/test_season.py

paulgoetze/whattime

f45114e4dddfef91dfc2068a0ad41c5cb8d9c4b2

[ "MIT" ]

null

tests/test_season.py

paulgoetze/whattime

f45114e4dddfef91dfc2068a0ad41c5cb8d9c4b2

[ "MIT" ]

2

2021-04-27T21:43:24.000Z

2021-04-27T21:46:21.000Z

tests/test_season.py

paulgoetze/whattime

f45114e4dddfef91dfc2068a0ad41c5cb8d9c4b2

[ "MIT" ]

null

from whattime import Hemisphere, season_info # Spring: def test_is_spring_for_northern_hemisphere(months): """Test returns true for spring months on the northern hemisphere""" assert season_info(months.january, Hemisphere.NORTHERN).is_spring is False assert season_info(months.february, Hemisphere.NORTHERN).is_spring is False assert season_info(months.march, Hemisphere.NORTHERN).is_spring is True assert season_info(months.april, Hemisphere.NORTHERN).is_spring is True assert season_info(months.may, Hemisphere.NORTHERN).is_spring is True assert season_info(months.june, Hemisphere.NORTHERN).is_spring is False assert season_info(months.july, Hemisphere.NORTHERN).is_spring is False assert season_info(months.august, Hemisphere.NORTHERN).is_spring is False assert season_info(months.september, Hemisphere.NORTHERN).is_spring is False assert season_info(months.october, Hemisphere.NORTHERN).is_spring is False assert season_info(months.november, Hemisphere.NORTHERN).is_spring is False assert season_info(months.december, Hemisphere.NORTHERN).is_spring is False def test_is_spring_for_southern_hemisphere(months): """Test returns true for spring months on the southern hemisphere""" assert season_info(months.january, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.february, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.march, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.april, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.may, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.june, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.july, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.august, Hemisphere.SOUTHERN).is_spring is False assert season_info(months.september, Hemisphere.SOUTHERN).is_spring is True assert season_info(months.october, Hemisphere.SOUTHERN).is_spring is True assert season_info(months.november, Hemisphere.SOUTHERN).is_spring is True assert season_info(months.december, Hemisphere.SOUTHERN).is_spring is False # Summer: def test_is_summer_for_northern_hemisphere(months): """Test returns true for summer months on the northern hemisphere""" assert season_info(months.january, Hemisphere.NORTHERN).is_summer is False assert season_info(months.february, Hemisphere.NORTHERN).is_summer is False assert season_info(months.march, Hemisphere.NORTHERN).is_summer is False assert season_info(months.april, Hemisphere.NORTHERN).is_summer is False assert season_info(months.may, Hemisphere.NORTHERN).is_summer is False assert season_info(months.june, Hemisphere.NORTHERN).is_summer is True assert season_info(months.july, Hemisphere.NORTHERN).is_summer is True assert season_info(months.august, Hemisphere.NORTHERN).is_summer is True assert season_info(months.september, Hemisphere.NORTHERN).is_summer is False assert season_info(months.october, Hemisphere.NORTHERN).is_summer is False assert season_info(months.november, Hemisphere.NORTHERN).is_summer is False assert season_info(months.december, Hemisphere.NORTHERN).is_summer is False def test_is_summer_for_southern_hemisphere(months): """Test returns true for summer months on the southern hemisphere""" assert season_info(months.january, Hemisphere.SOUTHERN).is_summer is True assert season_info(months.february, Hemisphere.SOUTHERN).is_summer is True assert season_info(months.march, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.april, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.may, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.june, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.july, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.august, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.september, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.october, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.november, Hemisphere.SOUTHERN).is_summer is False assert season_info(months.december, Hemisphere.SOUTHERN).is_summer is True # Autumn: def test_is_autumn_for_northern_hemisphere(months): """Test returns true for autumn months on the northern hemisphere""" assert season_info(months.january, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.february, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.march, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.april, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.may, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.june, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.july, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.august, Hemisphere.NORTHERN).is_autumn is False assert season_info(months.september, Hemisphere.NORTHERN).is_autumn is True assert season_info(months.october, Hemisphere.NORTHERN).is_autumn is True assert season_info(months.november, Hemisphere.NORTHERN).is_autumn is True assert season_info(months.december, Hemisphere.NORTHERN).is_autumn is False def test_is_autumn_for_southern_hemisphere(months): """Test returns true for autumn months on the southern hemisphere""" assert season_info(months.january, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.february, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.march, Hemisphere.SOUTHERN).is_autumn is True assert season_info(months.april, Hemisphere.SOUTHERN).is_autumn is True assert season_info(months.may, Hemisphere.SOUTHERN).is_autumn is True assert season_info(months.june, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.july, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.august, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.september, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.october, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.november, Hemisphere.SOUTHERN).is_autumn is False assert season_info(months.december, Hemisphere.SOUTHERN).is_autumn is False # Winter: def test_is_winter_for_northern_hemisphere(months): """Test returns true for winter months on the northern hemisphere""" assert season_info(months.january, Hemisphere.NORTHERN).is_winter is True assert season_info(months.february, Hemisphere.NORTHERN).is_winter is True assert season_info(months.march, Hemisphere.NORTHERN).is_winter is False assert season_info(months.april, Hemisphere.NORTHERN).is_winter is False assert season_info(months.may, Hemisphere.NORTHERN).is_winter is False assert season_info(months.june, Hemisphere.NORTHERN).is_winter is False assert season_info(months.july, Hemisphere.NORTHERN).is_winter is False assert season_info(months.august, Hemisphere.NORTHERN).is_winter is False assert season_info(months.september, Hemisphere.NORTHERN).is_winter is False assert season_info(months.october, Hemisphere.NORTHERN).is_winter is False assert season_info(months.november, Hemisphere.NORTHERN).is_winter is False assert season_info(months.december, Hemisphere.NORTHERN).is_winter is True def test_is_winter_for_southern_hemisphere(months): """Test returns true for winter months on the southern hemisphere""" assert season_info(months.january, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.february, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.march, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.april, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.may, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.june, Hemisphere.SOUTHERN).is_winter is True assert season_info(months.july, Hemisphere.SOUTHERN).is_winter is True assert season_info(months.august, Hemisphere.SOUTHERN).is_winter is True assert season_info(months.september, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.october, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.november, Hemisphere.SOUTHERN).is_winter is False assert season_info(months.december, Hemisphere.SOUTHERN).is_winter is False

58.856164

80

0.803328

1,210

8,593

5.512397

0.028926

0.145427

0.230285

0.316642

0.990705

0.972714

0.957421

0.918141

0

0.120214

8,593

145

81

59.262069

0.882275

0.062376

0

0.914286

1

0.07619

false

0

0.009524

0

0.085714

0

null

0

1

0

null

0

1

0

9

dd50bfdbdf5736f319a03fdbf27e7f414b62b8f6

342

py

Python

platform/core/polyaxon/polyaxon/config_settings/commands/__init__.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/polyaxon/config_settings/commands/__init__.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

platform/core/polyaxon/polyaxon/config_settings/commands/__init__.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

from polyaxon.config_settings.cors import * from polyaxon.config_settings.dirs import * from polyaxon.config_settings.k8s import * from polyaxon.config_settings.labels import * from polyaxon.config_settings.middlewares import * from polyaxon.config_settings.spawner import * from polyaxon.config_settings.stores import * from .apps import *

34.2

50

0.836257

45

342

6.2

0.288889

0.301075

0.451613

0.65233

0.688172

0

0.003236

0.096491

342

9

51

38

0.899676

0

1

0

true

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

dd5694366c72c6dddc8a67197d3693774e6a58fa

217,450

py

Python

dlkit/abstract_osid/resource/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/abstract_osid/resource/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/abstract_osid/resource/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""Implementations of resource abstract base class sessions.""" # pylint: disable=invalid-name # Method names comply with OSID specification. # pylint: disable=no-init # Abstract classes do not define __init__. # pylint: disable=too-few-public-methods # Some interfaces are specified as 'markers' and include no methods. # pylint: disable=too-many-public-methods # Number of methods are defined in specification # pylint: disable=too-many-ancestors # Inheritance defined in specification # pylint: disable=too-many-arguments # Argument signature defined in specification. # pylint: disable=duplicate-code # All apparent duplicates have been inspected. They aren't. import abc class ResourceLookupSession: """This session defines methods for retrieving resources. A ``Resource`` is an arbitrary entity that may represent a person, place or thing used to identify an object used in various services. This lookup session defines several views: * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete result set or is an error condition * isolated bin view: All resource methods in this session operate, retrieve and pertain to resources defined explicitly in the current bin. Using an isolated view is useful for managing ``Resources`` with the ``ResourceAdminSession.`` * federated bin view: All resource methods in this session operate, retrieve and pertain to all resources defined in this bin and any other resources implicitly available in this bin through bin inheritence. The methods ``use_federated_bin_view()`` and ``use_isolated_bin_view()`` behave as a radio group and one should be selected before invoking any lookup methods. Resources may have an additional records indicated by their respective record types. The record may not be accessed through a cast of the ``Resource``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_lookup_resources(self): """Tests if this user can perform ``Resource`` lookups. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if lookup methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_resource_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_resource_view(self): """A complete view of the ``Resource`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_resource(self, resource_id): """Gets the ``Resource`` specified by its ``Id``. In plenary mode, the exact ``Id`` is found or a ``NotFound`` results. Otherwise, the returned ``Resource`` may have a different ``Id`` than requested, such as the case where a duplicate ``Id`` was assigned to a ``Resource`` and retained for compatibility. :param resource_id: the ``Id`` of the ``Resource`` to retrieve :type resource_id: ``osid.id.Id`` :return: the returned ``Resource`` :rtype: ``osid.resource.Resource`` :raise: ``NotFound`` -- no ``Resource`` found with the given ``Id`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Resource @abc.abstractmethod def get_resources_by_ids(self, resource_ids): """Gets a ``ResourceList`` corresponding to the given ``IdList``. In plenary mode, the returned list contains all of the resources specified in the ``Id`` list, in the order of the list, including duplicates, or an error results if an ``Id`` in the supplied list is not found or inaccessible. Otherwise, inaccessible ``Resources`` may be omitted from the list and may present the elements in any order including returning a unique set. :param resource_ids: the list of ``Ids`` to retrieve :type resource_ids: ``osid.id.IdList`` :return: the returned ``Resource`` list :rtype: ``osid.resource.ResourceList`` :raise: ``NotFound`` -- an ``Id was`` not found :raise: ``NullArgument`` -- ``resource_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_resources_by_genus_type(self, resource_genus_type): """Gets a ``ResourceList`` corresponding to the given resource genus ``Type`` which does not include resources of types derived from the specified ``Type``. In plenary mode, the returned list contains all known resources or an error results. Otherwise, the returned list may contain only those resources that are accessible through this session. :param resource_genus_type: a resource genus type :type resource_genus_type: ``osid.type.Type`` :return: the returned ``Resource`` list :rtype: ``osid.resource.ResourceList`` :raise: ``NullArgument`` -- ``resource_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_resources_by_parent_genus_type(self, resource_genus_type): """Gets a ``ResourceList`` corresponding to the given resource genus ``Type`` and include any additional resources with genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known resources or an error results. Otherwise, the returned list may contain only those resources that are accessible through this session. :param resource_genus_type: a resource genus type :type resource_genus_type: ``osid.type.Type`` :return: the returned ``Resource`` list :rtype: ``osid.resource.ResourceList`` :raise: ``NullArgument`` -- ``resource_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_resources_by_record_type(self, resource_record_type): """Gets a ``ResourceList`` containing the given resource record ``Type``. In plenary mode, the returned list contains all known resources or an error results. Otherwise, the returned list may contain only those resources that are accessible through this session. :param resource_record_type: a resource record type :type resource_record_type: ``osid.type.Type`` :return: the returned ``Resource`` list :rtype: ``osid.resource.ResourceList`` :raise: ``NullArgument`` -- ``resource_record_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_resources(self): """Gets all ``Resources``. In plenary mode, the returned list contains all known resources or an error results. Otherwise, the returned list may contain only those resources that are accessible through this session. :return: a list of ``Resources`` :rtype: ``osid.resource.ResourceList`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList resources = property(fget=get_resources) class ResourceQuerySession: """This session provides methods for searching among ``Resource`` objects. The search query is constructed using the ``ResourceQuery``. This session defines views that offer differing behaviors for searching. * federated bin view: searches include resources in bins of which this bin is a ancestor in the bin hierarchy * isolated bin view: searches are restricted to resources in this bin Resources may have a resource record indicated by their respective record types. The resource query record is accessed via the ``ResourceQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_search_resources(self): """Tests if this user can perform ``Resource`` searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. :return: ``false`` if search methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_resource_query(self): """Gets a resource query. The returned query will not have an extension query. :return: the resource query :rtype: ``osid.resource.ResourceQuery`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceQuery resource_query = property(fget=get_resource_query) @abc.abstractmethod def get_resources_by_query(self, resource_query): """Gets a list of ``Resources`` matching the given resource query. :param resource_query: the resource query :type resource_query: ``osid.resource.ResourceQuery`` :return: the returned ``ResourceList`` :rtype: ``osid.resource.ResourceList`` :raise: ``NullArgument`` -- ``resource_query`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList class ResourceSearchSession: """This session provides methods for searching among ``Resource`` objects. The search query is constructed using the ``ResourceQuery``. ``get_resources_by_query()`` is the basic search method and returns a list of ``Resources``. A more advanced search may be performed with ``getResourcesBySearch()``. It accepts an ``ResourceSearch`` in addition to the query for the purpose of specifying additional options affecting the entire search, such as ordering. ``get_resources_by_search()`` returns an ``ResourceSearchResults`` that can be used to access the resulting ``ResourceList`` or be used to perform a search within the result set through ``ResourceList``. This session defines views that offer differing behaviors for searching. * federated bin view: searches include resources in bins of which this bin is a ancestor in the bin hierarchy * isolated bin view: searches are restricted to resources in this bin Resources may have a resource query record indicated by their respective record types. The resource query record is accessed via the ``ResourceQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_resource_search(self): """Gets a resource search. :return: the resource search :rtype: ``osid.resource.ResourceSearch`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceSearch resource_search = property(fget=get_resource_search) @abc.abstractmethod def get_resource_search_order(self): """Gets a resource search order. The ``ResourceSearchOrder`` is supplied to a ``ResourceSearch`` to specify the ordering of results. :return: the resource search order :rtype: ``osid.resource.ResourceSearchOrder`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceSearchOrder resource_search_order = property(fget=get_resource_search_order) @abc.abstractmethod def get_resources_by_search(self, resource_query, resource_search): """Gets the search results matching the given search query using the given search. :param resource_query: the resource query :type resource_query: ``osid.resource.ResourceQuery`` :param resource_search: the resource search :type resource_search: ``osid.resource.ResourceSearch`` :return: the resource search results :rtype: ``osid.resource.ResourceSearchResults`` :raise: ``NullArgument`` -- ``resource_query`` or ``resource_search`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_query`` or ``resource_search`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceSearchResults @abc.abstractmethod def get_resource_query_from_inspector(self, resource_query_inspector): """Gets a resource query from an inspector. The inspector is available from a ``ResourceSearchResults``. :param resource_query_inspector: a resource query inspector :type resource_query_inspector: ``osid.resource.ResourceQueryInspector`` :return: the resource query :rtype: ``osid.resource.ResourceQuery`` :raise: ``NullArgument`` -- ``resource_query_inspector`` is ``null`` :raise: ``Unsupported`` -- ``resource_query_inspector`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceQuery class ResourceAdminSession: """This session creates, updates, and deletes ``Resources``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create a ``Resource,`` a ``ResourceForm`` is requested using ``get_resource_form_for_create()`` specifying desired record ``Types`` or none if no record ``Types`` are needed. The returned ``ResourceForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``ResourceForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``ResourceForm`` corresponds to an attempted transaction. For updates, ``ResourceForms`` are requested to the ``Resource`` ``Id`` that is to be updated using ``getResourceFormForUpdate()``. Similarly, the ``ResourceForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``ResourceForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``Resources``. To unmap a ``Resource`` from the current ``Bin,`` the ``ResourceBinAssignmentSession`` should be used. These delete operations attempt to remove the ``Resource`` itself thus removing it from all known ``Bin`` catalogs. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_create_resources(self): """Tests if this user can create ``Resources``. A return of true does not guarantee successful authorization. A return of false indicates that it is known creating a ``Resource`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer create operations to an unauthorized user. :return: ``false`` if ``Resource`` creation is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_create_resource_with_record_types(self, resource_record_types): """Tests if this user can create a single ``Resource`` using the desired record types. While ``ResourceManager.getResourceRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``Resource``. Providing an empty array tests if a ``Resource`` can be created with no records. :param resource_record_types: array of resource record types :type resource_record_types: ``osid.type.Type[]`` :return: ``true`` if ``Resource`` creation using the specified ``Types`` is supported, ``false`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``resource_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_form_for_create(self, resource_record_types): """Gets the resource form for creating new resources. A new form should be requested for each create transaction. :param resource_record_types: array of resource record types :type resource_record_types: ``osid.type.Type[]`` :return: the resource form :rtype: ``osid.resource.ResourceForm`` :raise: ``NullArgument`` -- ``resource_record_types`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceForm @abc.abstractmethod def create_resource(self, resource_form): """Creates a new ``Resource``. :param resource_form: the form for this ``Resource`` :type resource_form: ``osid.resource.ResourceForm`` :return: the new ``Resource`` :rtype: ``osid.resource.Resource`` :raise: ``IllegalState`` -- ``resource_form`` already used in a create transaction :raise: ``InvalidArgument`` -- one or more of the form elements is invalid :raise: ``NullArgument`` -- ``resource_form`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_form`` did not originate from ``get_resource_form_for_create()`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Resource @abc.abstractmethod def can_update_resources(self): """Tests if this user can update ``Resources``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating a ``Resource`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer update operations to an unauthorized user. :return: ``false`` if ``Resource`` modification is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_form_for_update(self, resource_id): """Gets the resource form for updating an existing resource. A new resource form should be requested for each update transaction. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :return: the resource form :rtype: ``osid.resource.ResourceForm`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceForm @abc.abstractmethod def update_resource(self, resource_form): """Updates an existing resource. :param resource_form: the form containing the elements to be updated :type resource_form: ``osid.resource.ResourceForm`` :raise: ``IllegalState`` -- ``resource_form`` already used in an update transaction :raise: ``InvalidArgument`` -- the form contains an invalid value :raise: ``NullArgument`` -- ``resource_form`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_form`` did not originate from ``get_resource_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def can_delete_resources(self): """Tests if this user can delete ``Resources``. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting a ``Resource`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer delete operations to an unauthorized user. :return: ``false`` if ``Resource`` deletion is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def delete_resource(self, resource_id): """Deletes a ``Resource``. :param resource_id: the ``Id`` of the ``Resource`` to remove :type resource_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``resource_id`` not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def can_manage_resource_aliases(self): """Tests if this user can manage ``Id`` aliases for ``Resources``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. :return: ``false`` if ``Resource`` aliasing is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def alias_resource(self, resource_id, alias_id): """Adds an ``Id`` to a ``Resource`` for the purpose of creating compatibility. The primary ``Id`` of the ``Resource`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id``. If the alias is a pointer to another resource it is reassigned to the given resource ``Id``. :param resource_id: the ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :param alias_id: the alias ``Id`` :type alias_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``alias_id`` is already assigned :raise: ``NotFound`` -- ``resource_id`` not found :raise: ``NullArgument`` -- ``alias_id`` or ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceNotificationSession: """This session defines methods to receive notifications on adds/changes to ``Resource`` objects in this ``Bin``. This also includes existing resources that may appear or disappear due to changes in the ``Bin`` hierarchy, This session is intended for consumers needing to synchronize their state with this service without the use of polling. Notifications are cancelled when this session is closed. The two views defined in this session correspond to the views in the ``ResourceLookupSession``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_register_for_resource_notifications(self): """Tests if this user can register for ``Resource`` notifications. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer notification operations. :return: ``false`` if notification methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts notifications to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def register_for_new_resources(self): """Register for notifications of new resources. ``ResourceReceiver.newResources()`` is invoked when a new ``Resource`` is appears in this bin. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resources(self): """Registers for notification of updated resources. ``ResourceReceiver.changedResources()`` is invoked when a resource in this bin is changed. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resource(self, resource_id): """Registers for notification of an updated resource. ``ResourceReceiver.changedResources()`` is invoked when the specified resource in this bin is changed. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resources(self): """Registers for notification of deleted resources. ``ResourceReceiver.deletedResources()`` is invoked when a resource is deleted or removed from this bin. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resource(self, resource_id): """Registers for notification of a deleted resource. ``ResourceReceiver.deletedResources()`` is invoked when the specified resource is deleted or removed from this bin. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def reliable_resource_notifications(self): """Reliable notifications are desired. In reliable mode, notifications are to be acknowledged using ``acknowledge_item_notification()`` . *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def unreliable_resource_notifications(self): """Unreliable notifications are desired. In unreliable mode, notifications do not need to be acknowledged. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def acknowledge_resource_notification(self, notification_id): """Acknowledge an resource notification. :param notification_id: the ``Id`` of the notification :type notification_id: ``osid.id.Id`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceBinSession: """This session provides methods to retrieve ``Resource`` to ``Bin`` mappings. A ``Resource`` may appear in multiple ``Bins``. Each ``Bin`` may have its own authorizations governing who is allowed to look at it. This lookup session defines several views: * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete result set or is an error condition """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def use_comparative_bin_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_bin_view(self): """A complete view of the ``Resource`` and ``Bin`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def can_lookup_resource_bin_mappings(self): """Tests if this user can perform lookups of resource/bin mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if looking up mappings is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_ids_by_bin(self, bin_id): """Gets the list of ``Resource`` ``Ids`` associated with a ``Bin``. :param bin_id: ``Id`` of a ``Bin`` :type bin_id: ``osid.id.Id`` :return: list of related resource ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_resources_by_bin(self, bin_id): """Gets the list of ``Resources`` associated with a ``Bin``. :param bin_id: ``Id`` of a ``Bin`` :type bin_id: ``osid.id.Id`` :return: list of related resources :rtype: ``osid.resource.ResourceList`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_resource_ids_by_bins(self, bin_ids): """Gets the list of ``Resource Ids`` corresponding to a list of ``Bin`` objects. :param bin_ids: list of bin ``Ids`` :type bin_ids: ``osid.id.IdList`` :return: list of resource ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``bin_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_resources_by_bins(self, bin_ids): """Gets the list of ``Resources`` corresponding to a list of ``Bins``. :param bin_ids: list of bin ``Ids`` :type bin_ids: ``osid.id.IdList`` :return: list of resources :rtype: ``osid.resource.ResourceList`` :raise: ``NullArgument`` -- ``bin_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_bin_ids_by_resource(self, resource_id): """Gets the list of ``Bin`` ``Ids`` mapped to a ``Resource``. :param resource_id: ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_bins_by_resource(self, resource_id): """Gets the list of ``Bin`` objects mapped to a ``Resource``. :param resource_id: ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of bins :rtype: ``osid.resource.BinList`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList class ResourceBinAssignmentSession: """This session provides methods to re-assign ``Resources`` to ``Bins``. A ``Resource`` may map to multiple ``Bin`` objects and removing the last reference to a ``Resource`` is the equivalent of deleting it. Each ``Bin`` may have its own authorizations governing who is allowed to operate on it. Moving or adding a reference of a ``Resource`` to another ``Bin`` is not a copy operation (eg: does not change its ``Id`` ). """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_assign_resources(self): """Tests if this user can alter resource/bin mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_assign_resources_to_bin(self, bin_id): """Tests if this user can alter resource/bin mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied`` . This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_assignable_bin_ids(self, bin_id): """Gets a list of bins including and under the given bin node in which any resource can be assigned. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :return: list of assignable bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_assignable_bin_ids_for_resource(self, bin_id, resource_id): """Gets a list of bins including and under the given bin node in which a specific resource can be assigned. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of assignable bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``bin_id`` or ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def assign_resource_to_bin(self, resource_id, bin_id): """Adds an existing ``Resource`` to a ``Bin``. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``resource_id`` is already assigned to ``bin_id`` :raise: ``NotFound`` -- ``resource_id`` or ``bin_id`` not found :raise: ``NullArgument`` -- ``resource_id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def unassign_resource_from_bin(self, resource_id, bin_id): """Removes a ``Resource`` from a ``Bin``. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``resource_id`` or ``bin_id`` not found or ``resource_id`` not assigned to ``bin_id`` :raise: ``NullArgument`` -- ``resource_id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceSmartBinSession: """This session manages queries and sequencing to create "smart" dynamic catalogs. A ``ResourceQuery`` can be retrieved from this session and mapped to this ``Bin`` to create a virtual collection of ``Resources``. The resources may be sequenced using the ``ResourceSearchOrder`` from this session. This ``Bin`` has a default query that matches any resource and a default search order that specifies no sequencing. The queries may be examined using a ``ResourceQueryInspector``. The query may be modified by converting the inspector back to a ``ResourceQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_manage_smart_bins(self): """Tests if this user can manage smart bins. A return of true does not guarantee successful authorization. A return of false indicates that it is known methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer operations to unauthorized users. :return: ``false`` if smart bin management is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_query(self): """Gets a resource query. :return: the resource query :rtype: ``osid.resource.ResourceQuery`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceQuery resource_query = property(fget=get_resource_query) @abc.abstractmethod def get_resource_search_order(self): """Gets a resource search order. :return: the resource search order :rtype: ``osid.resource.ResourceSearchOrder`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceSearchOrder resource_search_order = property(fget=get_resource_search_order) @abc.abstractmethod def apply_resource_query(self, resource_query): """Applies a resource query to this bin. :param resource_query: the resource query :type resource_query: ``osid.resource.ResourceQuery`` :raise: ``NullArgument`` -- ``resource_query`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure occurred :raise: ``Unsupported`` -- ``resource_query`` not of this service *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def inspect_resource_query(self): """Gets a resource query inspector for this bin. :return: the resource query inspector :rtype: ``osid.resource.ResourceQueryInspector`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceQueryInspector @abc.abstractmethod def apply_resource_sequencing(self, resource_search_order): """Applies a resource search order to this bin. :param resource_search_order: the resource search order :type resource_search_order: ``osid.resource.ResourceSearchOrder`` :raise: ``NullArgument`` -- ``resource_search_order`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure occurred :raise: ``Unsupported`` -- ``resource_search_order`` not of this service *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def get_resource_query_from_inspector(self, resource_query_inspector): """Gets a resource query from an inspector. :param resource_query_inspector: a resource query inspector :type resource_query_inspector: ``osid.resource.ResourceQueryInspector`` :return: the resource query :rtype: ``osid.resource.ResourceQuery`` :raise: ``NullArgument`` -- ``resource_query_inspector`` is ``null`` :raise: ``Unsupported`` -- ``resource_query_inspector`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceQuery class MembershipSession: """This session provides methods to query if a ``Resource`` is a member of another ``Resource``. ``Resources`` may represent groups of ``Resources`` or generated ``Demographics`` of ``Resources``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_query_membership(self): """Tests if this user can perform membership queries. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if membership queries are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts resources to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def is_member(self, member_resource_id, resource_id): """Tests if a ``Resource`` is a member of another ``Resource``. :param member_resource_id: ``Id`` of the ``Resource`` member :type member_resource_id: ``osid.id.Id`` :param resource_id: ``Id`` of the ``Resource`` representing the group or demographic :type resource_id: ``osid.id.Id`` :return: true if ``member_resource_id`` is a member of the ``resource_id,`` false otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``member_resource_id`` or ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # boolean class GroupSession: """This session provides methods to retrieve ``Resource`` to ``Group`` mappings. A ``Resource`` may appear in multiple resource groups. A group is also represented by a resource itself. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_lookup_resource_members(self): """Tests if this user can perform lookups of resource members. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if looking up members is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_resource_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_resource_view(self): """A complete view of the ``Resource`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts resources to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_federated_group_view(self): """Federates the view for methods in this session. A federated view will include resources in groups which are children of the specified group in the group hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_group_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to the specified group only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_resource_ids_by_group(self, group_resource_id): """Gets the list of ``Resource`` ``Ids`` associated with a ``Resource``. In a federated view, resources for child groups are included. :param group_resource_id: ``Id`` of the ``Resource`` :type group_resource_id: ``osid.id.Id`` :return: list of member resource ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``group_resource_id`` is not found :raise: ``NullArgument`` -- ``group_resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_resources_by_group(self, group_resource_id): """Gets the list of ``Resources`` associated with a ``Resource``. In a federated view, resources for child groups are included. :param group_resource_id: ``Id`` of the ``Resource`` :type group_resource_id: ``osid.id.Id`` :return: list of resourcememembers :rtype: ``osid.resource.ResourceList`` :raise: ``NotFound`` -- ``group_resource_id`` is not found :raise: ``NullArgument`` -- ``group_resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_resource_ids_by_groups(self, group_resource_ids): """Gets the list of ``Resource Ids`` corresponding to a list of ``Resource`` objects. :param group_resource_ids: list of resource ``Ids`` :type group_resource_ids: ``osid.id.IdList`` :return: list of resource ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``group_resource_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_resources_by_groups(self, group_resource_ids): """Gets the list of ``Resources`` corresponding to a list of ``Resource`` objects. :param group_resource_ids: list of resource ``Ids`` :type group_resource_ids: ``osid.id.IdList`` :return: list of resources :rtype: ``osid.resource.ResourceList`` :raise: ``NullArgument`` -- ``group_resource_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList @abc.abstractmethod def get_group_ids_by_resource(self, resource_id): """Gets the list of ``Resource`` ``Ids`` mapped to a ``Resource``. :param resource_id: ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of group resource ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_groups_by_resource(self, resource_id): """Gets the list of ``Resource`` objects mapped to a ``Resource``. :param resource_id: ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of group resources :rtype: ``osid.resource.ResourceList`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceList class GroupAssignmentSession: """This session provides methods to re-assign ``Resources`` to group ``Resources``.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_assign_resources(self): """Tests if this user can change resource group mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer assignment operations. :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_assign_resources_to_group(self, resource_id): """Tests if this user can assign members to the given group. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def assign_resource_to_group(self, resource_id, resource_group_id): """Adds an existing ``Resource`` to a ``Resource`` group. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :param resource_group_id: the ``Id`` of the ``Resource`` group :type resource_group_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``resource_id`` is already part of ``resource_group_id`` :raise: ``NotFound`` -- ``resource_id`` or ``resource_group_id`` not found :raise: ``NullArgument`` -- ``resource_id`` or ``resource_group_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def unassign_resource_from_group(self, resource_id, resource_group_id): """Removes a ``Resource`` from a ``Resource`` group. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :param resource_group_id: the ``Id`` of the ``Repository`` :type resource_group_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``resource_id or resource_group_id`` not found or ``resource_id`` not part of ``resource_group_id`` :raise: ``NullArgument`` -- ``resource_id or resource_group_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class GroupNotificationSession: """This session defines methods to receive notifications on adds/changes to ``Resource`` members. This session is intended for consumers needing to synchronize their state with this service without the use of polling. Notifications are cancelled when this session is closed. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_register_for_group_notifications(self): """Tests if this user can register for group notifications. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer notification operations. :return: ``false`` if notification methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts notifications to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def register_for_new_members(self, resource_id): """Register for notifications of new resource memberss. ``GroupReceiver.newMember()`` is invoked when a new member is added to the specified group. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_members(self, resource_id): """Register for notifications of deleted resource memberss. ``GroupReceiver.deletedMember()`` is invoked when a new member is removed from the specified group. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def reliable_group_notifications(self): """Reliable notifications are desired. In reliable mode, notifications are to be acknowledged using ``acknowledge_item_notification()`` . *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def unreliable_group_notifications(self): """Unreliable notifications are desired. In unreliable mode, notifications do not need to be acknowledged. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def acknowledge_group_notification(self, notification_id): """Acknowledge an group notification. :param notification_id: the ``Id`` of the notification :type notification_id: ``osid.id.Id`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class GroupHierarchySession: """This session provides a hierarchical view of resource groups. Each node in the hierarchy is a unique ``Resource``. The hierarchy may be traversed recursively to establish the tree structure through ``get_parent_resources()`` and ``getChildResources()``. To relate these ``Ids`` to another OSID, ``get_resource_nodes()`` can be used for retrievals that can be used for bulk lookups in other OSIDs. A user may not be authorized to traverse the entire hierarchy. Parts of the hierarchy may be made invisible through omission from the returns of ``get_parent_resources()`` or ``get_child_resources()`` in lieu of a ``PermissionDenied`` error that may disrupt the traversal through authorized pathways. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: resource elements may be silently omitted or re-ordered * plenary view: provides a complete set or is an error condition """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_access_group_hierarchy(self): """Tests if this user can perform hierarchy queries. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if hierarchy traversal methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_resource_view(self): """The returns from the group methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_resource_view(self): """A complete view of the ``Resource`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def is_member_of_group(self, group_id, resource_id): """Tests if a resource ``Id`` is a member of a group either directly or indirectly through nested groups. :param group_id: a resource group ``Id`` :type group_id: ``osid.id.Id`` :param resource_id: the ``Id`` of a resource :type resource_id: ``osid.id.Id`` :return: ``true`` if this ``resource_id`` is a member of ``group_id,`` f ``alse`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``group_id`` is not found :raise: ``NullArgument`` -- ``group_id`` or ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``resource_id`` not found return ``false``. """ return # boolean @abc.abstractmethod def get_resource_node_ids(self, resource_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given resource group. :param resource_id: the ``Id`` to query :type resource_id: ``osid.id.Id`` :param ancestor_levels: the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. :type ancestor_levels: ``cardinal`` :param descendant_levels: the maximum number of descendant levels to include. A value of 0 returns no children in the node. :type descendant_levels: ``cardinal`` :param include_siblings: ``true`` to include the siblings of the given node, ``false`` to omit the siblings :type include_siblings: ``boolean`` :return: a resource node :rtype: ``osid.hierarchy.Node`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.hierarchy.Node @abc.abstractmethod def get_resource_nodes(self, resource_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given resource group. :param resource_id: the ``Id`` to query :type resource_id: ``osid.id.Id`` :param ancestor_levels: the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. :type ancestor_levels: ``cardinal`` :param descendant_levels: the maximum number of descendant levels to include. A value of 0 returns no children in the node. :type descendant_levels: ``cardinal`` :param include_siblings: ``true`` to include the siblings of the given node, ``false`` to omit the siblings :type include_siblings: ``boolean`` :return: a resource node :rtype: ``osid.acknowledgement.BillingNode`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.acknowledgement.BillingNode class ResourceAgentSession: """This session provides methods to retrieve ``Resource`` to ``Agent`` mappings. An ``Agent`` may map to only one ``Resource`` while a ``Resource`` may map to multiple ``Agents``. This lookup session defines several views * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete result set or is an error condition """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_lookup_resource_agent_mappings(self): """Tests if this user can perform lookups of resource/agent mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if looking up mappings is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_agent_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_agent_view(self): """A complete view of the ``Agent`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include resources in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts lookups to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_resource_id_by_agent(self, agent_id): """Gets the ``Resource`` ``Id`` associated with the given agent. :param agent_id: ``Id`` of the ``Agent`` :type agent_id: ``osid.id.Id`` :return: associated resource :rtype: ``osid.id.Id`` :raise: ``NotFound`` -- ``agent_id`` is not found :raise: ``NullArgument`` -- ``agent_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id @abc.abstractmethod def get_resource_by_agent(self, agent_id): """Gets the ``Resource`` associated with the given agent. :param agent_id: ``Id`` of the ``Agent`` :type agent_id: ``osid.id.Id`` :return: associated resource :rtype: ``osid.resource.Resource`` :raise: ``NotFound`` -- ``agent_id`` is not found :raise: ``NullArgument`` -- ``agent_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Resource @abc.abstractmethod def get_agent_ids_by_resource(self, resource_id): """Gets the list of ``Agent`` ``Ids`` mapped to a ``Resource``. :param resource_id: ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of agent ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_agents_by_resource(self, resource_id): """Gets the list of ``Agents`` mapped to a ``Resource``. :param resource_id: ``Id`` of a ``Resource`` :type resource_id: ``osid.id.Id`` :return: list of agents :rtype: ``osid.authentication.AgentList`` :raise: ``NotFound`` -- ``resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.authentication.AgentList class ResourceAgentAssignmentSession: """This session provides methods to re-assign ``Resource`` to ``Agents``. A ``Resource`` may be associated with multiple ``Agents``. An ``Agent`` may map to only one ``Resource``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_assign_agents(self): """Tests if this user can alter resource/agent mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_assign_agents_to_resource(self, resource_id): """Tests if this user can alter resource/agent mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known location methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer assignment operations to unauthorized users. :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def assign_agent_to_resource(self, agent_id, resource_id): """Adds an existing ``Agent`` to a ``Resource``. :param agent_id: the ``Id`` of the ``Agent`` :type agent_id: ``osid.id.Id`` :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``agent_id`` is already assigned to ``resource_id`` :raise: ``NotFound`` -- ``agent_id`` or ``resource_id`` not found :raise: ``NullArgument`` -- ``agent_id`` or ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def unassign_agent_from_resource(self, agent_id, resource_id): """Removes an ``Agent`` from a ``Resource``. :param agent_id: the ``Id`` of the ``Agent`` :type agent_id: ``osid.id.Id`` :param resource_id: the ``Id`` of the ``Resource`` :type resource_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``agent_id`` or ``resource_id`` not found or ``agent_id`` not assigned to ``resource_id`` :raise: ``NullArgument`` -- ``agent_id`` or ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceRelationshipLookupSession: """This session provides methods for examining resource relationships.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_lookup_resource_relationships(self): """Tests if this user can access resource relationships. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer relationship operations. :return: ``false`` if lookup methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_resource_relationship_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_resource_relationship_view(self): """A complete view of the resource relationship returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include relationships in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts relationships to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_effective_resource_relationship_view(self): """Only resource relationships whose effective dates are current are returned by methods in this session. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_any_effective_resource_relationship_view(self): """All resource relationships of any effective dates are returned by methods in this session. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_resource_relationship(self, resource_relationship_id): """Gets the ``ResourceRelationship`` specified by its ``Id``. :param resource_relationship_id: ``Id`` of the ``Relationship`` :type resource_relationship_id: ``osid.id.Id`` :return: the relationship :rtype: ``osid.resource.ResourceRelationship`` :raise: ``NotFound`` -- ``resource_relationship_id`` not found :raise: ``NullArgument`` -- ``resource_relationship_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method is must be implemented.* """ return # osid.resource.ResourceRelationship @abc.abstractmethod def get_resource_relationships_by_ids(self, resource_relationship_ids): """Gets a ``ResourceRelationshipList`` corresponding to the given ``IdList``. :param resource_relationship_ids: the list of ``Ids`` to retrieve :type resource_relationship_ids: ``osid.id.IdList`` :return: the returned ``ResourceRelationship`` list :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NotFound`` -- an ``Id was`` not found :raise: ``NullArgument`` -- ``resource_relationship_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type(self, relationship_genus_type): """Gets the resource relationships for the given resource relationship genus type. :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``relationship_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_parent_genus_type(self, relationship_genus_type): """Gets the reource relationships for the given resource relationship genus type and include any relationships with a genus type derived from the specified genus type. :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``relationship_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_record_type(self, relationship_record_type): """Gets the resource relationships for the given resource relationship record type. :param relationship_record_type: a relationship record type :type relationship_record_type: ``osid.type.Type`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``relationship_record_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_on_date(self, from_, to): """Gets the resource relationships effective during the entire given date range inclusive but not confined to the date range. :param from: starting date :type from: ``osid.calendaring.DateTime`` :param to: ending date :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``from`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_for_source_resource(self, source_resource_id): """Gets the ``ResourceRelationships`` of a resource. :param source_resource_id: ``Id`` of a ``Resource`` :type source_resource_id: ``osid.id.Id`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``source_resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_for_source_resource_on_date(self, source_resource_id, from_, to): """Gets a list of resource relationships for a resource and effective during the entire given date range inclusive but not confined to the date range. :param source_resource_id: a resource ``Id`` :type source_resource_id: ``osid.id.Id`` :param from: start of date range :type from: ``osid.calendaring.DateTime`` :param to: end of date range :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``source_resource_id, from`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type_for_source_resource(self, source_resource_id, relationship_genus_type): """Gets the ``ResourceRelationships`` of a resource of relationship genus type that includes any genus type derived from the given one. :param source_resource_id: ``Id`` of a ``Resource`` :type source_resource_id: ``osid.id.Id`` :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``source_resource_id`` or ``relationship_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type_for_source_resource_on_date(self, source_resource_id, relationship_genus_type, from_, to): """Gets a list of resource relationships of a given genus type for a resource and effective during the entire given date range inclusive but not confined to the date range. :param source_resource_id: a resource ``Id`` :type source_resource_id: ``osid.id.Id`` :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :param from: start of date range :type from: ``osid.calendaring.DateTime`` :param to: end of date range :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``source_resource_id, relationship_genus_type, from`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_for_destination_resource(self, destination_resource_id): """Gets the ``ResourceRelationships`` of a resource. :param destination_resource_id: ``Id`` of a ``Resource`` :type destination_resource_id: ``osid.id.Id`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``destination_resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_for_destination_resource_on_date(self, source_resource_id, from_, to): """Gets a list of resource relationships for a resource and effective during the entire given date range inclusive but not confined to the date range. :param source_resource_id: a resource ``Id`` :type source_resource_id: ``osid.id.Id`` :param from: start of date range :type from: ``osid.calendaring.DateTime`` :param to: end of date range :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``destination_resource_id, from,`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type_for_destination_resource(self, destination_resource_id, relationship_genus_type): """Gets the ``ResourceRelationships`` of a resource of relationship genus type that includes any genus type derived from the given one. :param destination_resource_id: ``Id`` of a ``Resource`` :type destination_resource_id: ``osid.id.Id`` :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``destination_resource_id`` or ``relationship_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type_for_destination_resource_on_date(self, destination_resource_id, relationship_genus_type, from_, to): """Gets a list of resource relationships of a given genus type for a resource and effective during the entire given date range inclusive but not confined to the date range. :param destination_resource_id: a resource ``Id`` :type destination_resource_id: ``osid.id.Id`` :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :param from: start of date range :type from: ``osid.calendaring.DateTime`` :param to: end of date range :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``destination_resource_id, relationship_genus_type, from`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_for_resources(self, source_resource_id, destination_resource_id): """Gets the ``ResourceRelationships`` given two resources. :param source_resource_id: ``Id`` of a ``Resource`` :type source_resource_id: ``osid.id.Id`` :param destination_resource_id: ``Id`` of another ``Resource`` :type destination_resource_id: ``osid.id.Id`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``source_relationship_id`` or ``destination_relationship_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_for_resources_on_date(self, source_resource_id, destination_resource_id, from_, to): """Gets a list of resource relationships for a two peer resources and effective during the entire given date range inclusive but not confined to the date range. :param source_resource_id: a resource ``Id`` :type source_resource_id: ``osid.id.Id`` :param destination_resource_id: ``Id`` of another ``Resource`` :type destination_resource_id: ``osid.id.Id`` :param from: start of date range :type from: ``osid.calendaring.DateTime`` :param to: end of date range :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``source_resource_id, destination_resource_id, from`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type_for_resources(self, source_resource_id, destination_resource_id, relationship_genus_type): """Gets the ``ResourceRelationships`` given two resources and a relationship genus type which includes any genus types derived from the given genus type. :param source_resource_id: ``Id`` of a ``Resource`` :type source_resource_id: ``osid.id.Id`` :param destination_resource_id: ``Id`` of another ``Resource`` :type destination_resource_id: ``osid.id.Id`` :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``source_resource_id, destination_resource_id,`` or ``relatonship_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_by_genus_type_for_resources_on_date(self, source_resource_id, destination_resource_id, relationship_genus_type, from_, to): """Gets a list of resource relationships of a given genus type for a two peer resources and effective during the entire given date range inclusive but not confined to the date range. :param source_resource_id: a resource ``Id`` :type source_resource_id: ``osid.id.Id`` :param destination_resource_id: ``Id`` of another ``Resource`` :type destination_resource_id: ``osid.id.Id`` :param relationship_genus_type: a relationship genus type :type relationship_genus_type: ``osid.type.Type`` :param from: start of date range :type from: ``osid.calendaring.DateTime`` :param to: end of date range :type to: ``osid.calendaring.DateTime`` :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``InvalidArgument`` -- ``from`` is greater than ``to`` :raise: ``NullArgument`` -- ``source_resource_id, destination_resource_id, relationship_genus_type, from`` or ``to`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships(self): """Gets all ``ResourceRelationships``. :return: the relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList resource_relationships = property(fget=get_resource_relationships) class ResourceRelationshipQuerySession: """This session provides methods for searching ``ResourceRelationship`` objects. The search query is constructed using the ``ResourceRelationshipQuery``. The resource relationship record ``Type`` also specifies the record for the relationship query. This session defines views that offer differing behaviors for searching. * federated bin view: searches include relationships in bins of which this bin is a ancestor in the bin hierarchy * isolated bin view: searches are restricted to relationships in this bin only Relationships may have a query record indicated by their respective record types. The query record is accessed via the ``ResourceRelationshipQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the bin :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_search_resource_relationships(self): """Tests if this user can perform ``ResourceRelationship`` searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. :return: ``false`` if search methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include relationships in bin which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts searches to this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_resource_relationship_query(self): """Gets a relationship query. :return: the relationship query :rtype: ``osid.resource.ResourceRelationshipQuery`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipQuery resource_relationship_query = property(fget=get_resource_relationship_query) @abc.abstractmethod def get_resource_relationships_by_query(self, resource_relationship_query): """Gets a list of ``ResourceRelationship`` matching the given resource relationship query. :param resource_relationship_query: the resource relationship query :type resource_relationship_query: ``osid.resource.ResourceRelationshipQuery`` :return: the returned ``ResourceRelationshipList`` :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``resource_relationship_query is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_relationship_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList class ResourceRelationshipSearchSession: """This session provides methods for searching ``ResourceRelationship`` objects. The search query is constructed using the ``ResourceRelationshipQuery``. The resource relationship record ``Type`` also specifies the record for the relationship query. ``get_resource_relationships_by_query()`` is the basic search method and returns a list of ``ResourceRelationships``. A more advanced search may be performed with ``getResourceRelationshipsBySearch()``. It accepts a ``ResourceRelationshipSearch`` in addition to the query for the purpose of specifying additional options affecting the entire search, such as ordering. ``get_resource_relationships_by_search()`` returns an ``ResourceRelationshipSearchResults`` that can be used to access the resulting ``ResourceRelationshipList`` or be used to perform a search within the result set through ``ResourceRelationshipSearch``. This session defines views that offer differing behaviors for searching. * federated bin view: searches include relationships in bins of which this bin is a ancestor in the bin hierarchy * isolated bin view: searches are restricted to relationships in this bin only Relationships may have a resource relationship query record indicated by their respective record types. The resource relationship query record is accessed via the ``ResourceRelationshipQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_resource_relationship_search(self): """Gets a relationship search. :return: the relationship search :rtype: ``osid.resource.ResourceRelationshipSearch`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipSearch resource_relationship_search = property(fget=get_resource_relationship_search) @abc.abstractmethod def get_resource_relationship_search_order(self): """Gets a relationship search order. The ``ResourceRelationshipSearchOrder`` is supplied to a ``ResourceRelationshipSearch`` to specify the ordering of results. :return: the relationship search order :rtype: ``osid.resource.ResourceRelationshipSearchOrder`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipSearchOrder resource_relationship_search_order = property(fget=get_resource_relationship_search_order) @abc.abstractmethod def get_resource_relationships_by_search(self, resource_relationship_query, resource_relationship_search): """Gets the search results matching the given search query using the given search. :param resource_relationship_query: the resource relationship query :type resource_relationship_query: ``osid.resource.ResourceRelationshipQuery`` :param resource_relationship_search: the resource relationship search :type resource_relationship_search: ``osid.resource.ResourceRelationshipSearch`` :return: the returned resource relationship search results :rtype: ``osid.resource.ResourceRelationshipSearchResults`` :raise: ``NullArgument`` -- ``resource_relationship_query`` or r ``esource_relationship_search`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_relationship_search`` or r ``esource_relationship_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipSearchResults @abc.abstractmethod def get_resource_relationship_query_from_inspector(self, resource_relationship_query_inspector): """Gets a resource relationship query from an inspector. The inspector is available from a ``ResourceRelationshipSearchResults``. :param resource_relationship_query_inspector: a query inspector :type resource_relationship_query_inspector: ``osid.resource.ResourceRelationshipQueryInspector`` :return: the resource relationship query :rtype: ``osid.resource.ResourceRelationshipQuery`` :raise: ``NullArgument`` -- ``resource_relationship_query_inspector`` is ``null`` :raise: ``Unsupported`` -- ``resource_relationship_query_inspector`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipQuery class ResourceRelationshipAdminSession: """This session creates, updates, and deletes ``ResourceRelationships``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create a ``ResourceRelationship,`` a ``ResourceRelationshipForm`` is requested using ``ge_resource_relationship_form_for_create()`` specifying the ``nodes`` and desired record ``Types`` or none if no record ``Types`` are needed. The returned ``ResourceRelationshipForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``ResourceRelationshipForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``ResourceRelationshipForm`` corresponds to an attempted transaction. For updates, ``ResourceRelationshipForms`` are requested to the ``ResourceRelationship`` ``Id`` that is to be updated using ``getResourceRelationshipFormForUpdate()``. Similarly, the ``ResourceRelationshipForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``ResourceRelationshipForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``ResourceRelationships``. To unmap s ``ResourceRelationship`` from the current ``Bin,`` the ``ResourceRelationshipBinAssignmentSession`` should be used. These delete operations attempt to remove the ``ResourceRelationship`` itself thus removing it from all known ``Bin`` catalogs. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the bin :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_create_resource_relationships(self): """Tests if this user can create ``ResourceRelationships``. A return of true does not guarantee successful authorization. A return of false indicates that it is known creating a ``ResourceRelationship`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer create operations to an unauthorized user. :return: ``false`` if ``ResourceRelationship`` creation is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_create_resource_relationship_with_record_types(self, resource_relationship_record_types): """Tests if this user can create a single ``ResourceRelationship`` using the desired record types. While ``ResourceManager.getResourceRelationshipRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``ResourceRelationship``. Providing an empty array tests if a ``ResourceRelationship`` can be created with no records. :param resource_relationship_record_types: array of resource relationship types :type resource_relationship_record_types: ``osid.type.Type[]`` :return: ``true`` if ``ResourceRelationship`` creation using the specified record ``Types`` is supported, ``false`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``resource_relationship_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_relationship_form_for_create(self, source_resource_id, destination_resource_id, resource_relationship_record_types): """Gets the relationship form for creating new relationships. A new form should be requested for each create transaction. :param source_resource_id: the ``Id`` of the source ``Resource`` :type source_resource_id: ``osid.id.Id`` :param destination_resource_id: the ``Id`` of the destination ``Resource`` :type destination_resource_id: ``osid.id.Id`` :param resource_relationship_record_types: array of resource relationship types :type resource_relationship_record_types: ``osid.type.Type[]`` :return: the relationship form :rtype: ``osid.resource.ResourceRelationshipForm`` :raise: ``NotFound`` -- ``source_resource_id`` or ``destination_resource_id`` is not found :raise: ``NullArgument`` -- ``resource_id`` or ``peer_resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipForm @abc.abstractmethod def create_resource_relationship(self, resource_relationship_form): """Creates a new ``ResourceRelationship``. :param resource_relationship_form: the form for this ``ResourceRelationship`` :type resource_relationship_form: ``osid.resource.ResourceRelationshipForm`` :return: the new ``ResourceRelationship`` :rtype: ``osid.resource.ResourceRelationship`` :raise: ``IllegalState`` -- ``resource_relationship_form`` already used in a create transaction :raise: ``InvalidArgument`` -- one or more of the form elements is invalid :raise: ``NullArgument`` -- ``resource_id, peer_resource_id`` or ``resource_relationship_form`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_relationship_form`` did not originate from ``get_resource_relationship_form_for_create()`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationship @abc.abstractmethod def can_update_resource_relationships(self): """Tests if this user can update ``ResourceRelationships``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating a ``ResourceRelationship`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer update operations to an unauthorized user. :return: ``false`` if relationship modification is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_relationship_form_for_update(self, resource_relationship_id): """Gets the relationship form for updating an existing relationship. A new relationship form should be requested for each update transaction. :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :return: the relationship form :rtype: ``osid.resource.ResourceRelationshipForm`` :raise: ``NotFound`` -- ``resource_relationship_id`` not found :raise: ``NullArgument`` -- ``resource_relationship_id`` or ``alias_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipForm @abc.abstractmethod def update_resource_relationship(self, resource_relationship_form): """Updates an existing relationship. :param resource_relationship_form: the form containing the elements to be updated :type resource_relationship_form: ``osid.resource.ResourceRelationshipForm`` :raise: ``IllegalState`` -- ``resource_relationship_form`` already used in an update transaction :raise: ``InvalidArgument`` -- the form contains an invalid value :raise: ``NullArgument`` -- ``resource_relationship_form`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``resource_relationship_form`` did not originate from ``get_resource_relationship_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def can_delete_resource_relationships(self): """Tests if this user can delete ``ResourceRelationships``. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting a ``ResourceRelationship`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer delete operations to an unauthorized user. :return: ``false`` if ``ResourceRelationship`` deletion is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def delete_resource_relationship(self, resource_relationship_id): """Deletes the ``ResourceRelationship`` identified by the given ``Id``. :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` to delete :type resource_relationship_id: ``osid.id.Id`` :raise: ``NotFound`` -- a ``ResourceRelationship`` was not found identified by the given ``Id`` :raise: ``NullArgument`` -- ``resource_relationship_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def can_manage_resource_relationship_aliases(self): """Tests if this user can manage ``Id`` aliases for ``ResourceRelationships``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. :return: ``false`` if ``ResourceRelationship`` aliasing is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def alias_resource_relationship(self, resource_relationship_id, alias_id): """Adds an ``Id`` to a ``ResourceRelationship`` for the purpose of creating compatibility. The primary ``Id`` of the ``ResourceRelationship`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id`` . If the alias is a pointer to another resource relationshp, it is reassigned to the given resource relationship ``Id``. :param resource_relationship_id: the ``Id`` of a ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :param alias_id: the alias ``Id`` :type alias_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``alias_id`` is already assigned :raise: ``NotFound`` -- ``resource_relationship_id`` not found :raise: ``NullArgument`` -- ``resource_relationship_id`` or ``alias_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceRelationshipNotificationSession: """This session defines methods to receive asynchronous notifications on adds/changes to resource relationships. This session is intended for consumers needing to synchronize their state with this service without the use of polling. Notifications are cancelled when this session is closed. The views defined in this session correspond to the views in the ``ResourceRelationshipLookupSession``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the bin :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_register_for_resource_relationship_notifications(self): """Tests if this user can register for ``ResourceRelationship`` notifications. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer notification operations. :return: ``false`` if notification methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_federated_bin_view(self): """Federates the view for methods in this session. A federated view will include notifications for relationships in bins which are children of this bin in the bin hierarchy. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_isolated_bin_view(self): """Isolates the view for methods in this session. An isolated view restricts notifications for relationships in this bin only. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def register_for_new_resource_relationships(self): """Register for notifications of new relationship. ``ResourceRelationshipReceiver.newResourceRelationships()`` is invoked when a new relationship is created. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_new_resource_relationships_by_genus_type(self, resource_relationship_genus_type): """Register for notifications of new relationships of the given genus type. ``ResourceRelationshipReceiver.newResourceRelationships()`` is invoked when a new relationship is created. :param resource_relationship_genus_type: the rsource relationship genus type :type resource_relationship_genus_type: ``osid.type.Type`` :raise: ``NullArgument`` -- ``resource_relationship_genus_type is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_new_resource_relationships_for_source_resource(self, resource_id): """Register for notifications of new relationships from the given resource. ``ResourceRelationshipReceiver.newResourceRelationships()`` is invoked when a new relationship is created. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_new_resource_relationships_for_destination_resource(self, resource_id): """Register for notifications of new relationships to the given resource. ``ResourceRelationshipReceiver.newResourceRelationships()`` is invoked when a new relationship is created. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resource_relationships(self): """Registers for notification of updated relationships. ``ResourceRelationshipReceiver.changedResourceRelationships()`` is invoked when a relationship is changed. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resource_relationships_by_genus_type(self, resource_relationship_genus_type): """Register for notifications of changed relationshipsof the given genus type. ``ResourceRelationshipReceiver.changedResourceRelationships()`` is invoked when a relationship is changed. :param resource_relationship_genus_type: the rsource relationship genus type :type resource_relationship_genus_type: ``osid.type.Type`` :raise: ``NullArgument`` -- ``resource_relationship_genus_type is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resource_relationships_for_source_resource(self, resource_id): """Register for notifications of changed relationships from the given resource. ``ResourceRelationshipReceiver.changedResourceRelationships()`` is invoked when a relationship is changed. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resource_relationships_for_destination_resource(self, resource_id): """Register for notifications of changed relationships to the given resource. ``ResourceRelationshipReceiver.changedResourceRelationships()`` is invoked when a relationship is changed. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_resource_relationship(self, resource_relationship_id): """Registers for notification of an updated relationship. ``ResourceRelationshipReceiver.changedResourceRelationships()`` is invoked when the specified relationship is changed. :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` to monitor :type resource_relationship_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_relationship_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resource_relationships(self): """Registers for notification of deleted relationships. ``ResourceRelationshipReceiver.deletedResourceRelationships()`` is invoked when a relationship is deleted. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resource_relationships_by_genus_type(self, resource_relationship_genus_type): """Register for notifications of deleted relationships of the given genus type. ``ResourceRelationshipReceiver.deletedResourceRelationships()`` is invoked when a relationship is deleted. :param resource_relationship_genus_type: the rsource relationship genus type :type resource_relationship_genus_type: ``osid.type.Type`` :raise: ``NullArgument`` -- ``resource_relationship_genus_type is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resource_relationships_for_source_resource(self, resource_id): """Register for notifications of deleted relationships from the given resource. ``ResourceRelationshipReceiver.deletedResourceRelationships()`` is invoked when a relationship is deleted. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_relationship_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resource_relationships_for_destination_resource(self, resource_id): """Register for notifications of deleted relationships to the given resource. ``ResourceRelationshipReceiver.deletedResourceRelationships()`` is invoked when a relationship is deleted. :param resource_id: the ``Id`` of the ``Resource`` to monitor :type resource_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_relationship_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_resource_relationship(self, resource_relationship_id): """Registers for notification of a deleted relationship. ``ResourceRelationshipReceiver.changedResourceRelationships()`` is invoked when the specified relationship is deleted. :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` to monitor :type resource_relationship_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``resource_relationship_id is null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def reliable_resource_relationship_notifications(self): """Reliable notifications are desired. In reliable mode, notifications are to be acknowledged using ``acknowledge_item_notification()`` . *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def unreliable_resource_relationship_notifications(self): """Unreliable notifications are desired. In unreliable mode, notifications do not need to be acknowledged. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def acknowledge_resource_relationship_notification(self, notification_id): """Acknowledge an resource_relationship notification. :param notification_id: the ``Id`` of the notification :type notification_id: ``osid.id.Id`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceRelationshipBinSession: """This session provides methods to retrieve ``ResourceRelationship`` to ``Bin`` mappings. A ``Resource`` may appear in multiple ``Bins``. Each ``Bin`` may have its own authorizations governing who is allowed to look at it. This lookup session defines several views: * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete result set or is an error condition """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def use_comparative_bin_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_bin_view(self): """A complete view of the ``Resource`` and ``Bin`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def can_lookup_resource_relationship_bin_mappings(self): """Tests if this user can perform lookups of resource relationship/bin mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known lookup methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if looking up mappings is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_relationship_ids_by_bin(self, bin_id): """Gets the list of ``ResourceRelationship`` ``Ids`` associated with a ``Bin``. :param bin_id: ``Id`` of a ``Bin`` :type bin_id: ``osid.id.Id`` :return: list of related resource relationship ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_resource_relationships_by_bin(self, bin_id): """Gets the list of ``ResourceRelationships`` associated with a ``Bin``. :param bin_id: ``Id`` of a ``Bin`` :type bin_id: ``osid.id.Id`` :return: list of related resource relationship :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_resource_relationships_ids_by_bins(self, bin_ids): """Gets the list of ``ResourceRelationship Ids`` corresponding to a list of ``Bin`` objects. :param bin_ids: list of bin ``Ids`` :type bin_ids: ``osid.id.IdList`` :return: list of resource relationship ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``bin_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_resource_relationships_by_bins(self, bin_ids): """Gets the list of ``ResourceRelationships`` corresponding to a list of ``Bins``. :param bin_ids: list of bin ``Ids`` :type bin_ids: ``osid.id.IdList`` :return: list of resource relationships :rtype: ``osid.resource.ResourceRelationshipList`` :raise: ``NullArgument`` -- ``bin_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipList @abc.abstractmethod def get_bin_ids_by_resource_relationship(self, resource_relationship_id): """Gets the list of ``Bin`` ``Ids`` mapped to a ``ResourceRelationship``. :param resource_relationship_id: ``Id`` of a ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :return: list of bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``resource_relationship_id`` is not found :raise: ``NullArgument`` -- ``resource_relationship_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_bins_by_resource_relationship(self, resource_relationship_id): """Gets the list of ``Bin`` objects mapped to a ``ResourceRelationship``. :param resource_relationship_id: ``Id`` of a ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :return: list of bins :rtype: ``osid.resource.BinList`` :raise: ``NotFound`` -- ``resource_relationship_id`` is not found :raise: ``NullArgument`` -- ``resource_relationship_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList class ResourceRelationshipBinAssignmentSession: """This session provides methods to re-assign ``ResourceRelationships`` to ``Bins``. A ``ResourceRelationship`` may map to multiple ``Bin`` objects and removing the last reference to a ``ResourceRelationship`` is the equivalent of deleting it. Each ``Bin`` may have its own authorizations governing who is allowed to operate on it. Moving or adding a reference of a ``ResourceRelationship`` to another ``Bin`` is not a copy operation (eg: does not change its ``Id`` ). """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_assign_resource_relationships(self): """Tests if this user can alter resource relationship/bin mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_assign_resource_relationships_to_bin(self, bin_id): """Tests if this user can alter resource relationship/bin mappings. A return of true does not guarantee successful authorization. A return of false indicates that it is known mapping methods in this session will result in a ``PermissionDenied`` . This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :return: ``false`` if mapping is not authorized, ``true`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_assignable_bin_ids(self, bin_id): """Gets a list of bins including and under the given bin node in which any resource relationship can be assigned. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :return: list of assignable bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_assignable_bin_ids_for_resource_relationship(self, bin_id, resource_relationship_id): """Gets a list of bins including and under the given bin node in which a specific resource relationship can be assigned. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :return: list of assignable bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``NullArgument`` -- ``bin_id`` or ``resource_relationship_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def assign_resource_relationship_to_bin(self, resource_relationship_id, bin_id): """Adds an existing ``ResourceRelationship`` to a ``Bin``. :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``resource_relationship_id`` is already assigned to ``bin_id`` :raise: ``NotFound`` -- ``resource_relationship_id`` or ``bin_id`` not found :raise: ``NullArgument`` -- ``resource_relationship_id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def unassign_resource_relationship_from_bin(self, resource_relationship_id, bin_id): """Removes a ``ResourceRelationship`` from a ``Bin``. :param resource_relationship_id: the ``Id`` of the ``ResourceRelationship`` :type resource_relationship_id: ``osid.id.Id`` :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``resource_relationship_id`` or ``bin_id`` not found or ``resource_relationship_id`` not assigned to ``bin_id`` :raise: ``NullArgument`` -- ``resource_relationship_id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class ResourceRelationshipSmartBinSession: """This session manages queries and sequencing to create "smart" dynamic catalogs. A ``ResourceRelationshipQuery`` can be retrieved from this session and mapped to this ``Bin`` to create a virtual collection of ``ResourceRelationships``. The resource relationships may be sequenced using the ``ResourceRelationshipSearchOrder`` from this session. This ``Bin`` has a default query that matches any resource and a default search order that specifies no sequencing. The queries may be examined using a ``ResourceRelationshipQueryInspector``. The query may be modified by converting the inspector back to a ``ResourceRelationshipQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_id(self): """Gets the ``Bin`` ``Id`` associated with this session. :return: the ``Bin Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_id = property(fget=get_bin_id) @abc.abstractmethod def get_bin(self): """Gets the ``Bin`` associated with this session. :return: the ``Bin`` associated with this session :rtype: ``osid.resource.Bin`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin bin = property(fget=get_bin) @abc.abstractmethod def can_manage_smart_bins(self): """Tests if this user can manage smart bins. A return of true does not guarantee successful authorization. A return of false indicates that it is known methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer operations to unauthorized users. :return: ``false`` if smart bin management is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_resource_relationship_query(self): """Gets a resource relationship query. :return: the resource relationship query :rtype: ``osid.resource.ResourceRelationshipQuery`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipQuery resource_relationship_query = property(fget=get_resource_relationship_query) @abc.abstractmethod def get_resource_relationship_search_order(self): """Gets a resource relationship search order. :return: the resource relationship search order :rtype: ``osid.resource.ResourceRelationshipSearchOrder`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipSearchOrder resource_relationship_search_order = property(fget=get_resource_relationship_search_order) @abc.abstractmethod def apply_resource_relationship_query(self, resource_query): """Applies a resource relationship query to this bin. :param resource_query: the resource relationship query :type resource_query: ``osid.resource.ResourceRelationshipQuery`` :raise: ``NullArgument`` -- ``resource_relationship_query`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure occurred :raise: ``Unsupported`` -- ``resource_relationship_query`` not of this service *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def inspect_resource_relationship_query(self): """Gets a resource relationship query inspector for this bin. :return: the resource relationship query inspector :rtype: ``osid.resource.ResourceRelationshipQueryInspector`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure occurred *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceRelationshipQueryInspector @abc.abstractmethod def apply_resource_relationship_sequencing(self, resource_relationship_search_order): """Applies a resource relationship search order to this bin. :param resource_relationship_search_order: the resource relationship search order :type resource_relationship_search_order: ``osid.resource.ResourceRelationshipSearchOrder`` :raise: ``NullArgument`` -- ``resource_relationship_search_order`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure occurred :raise: ``Unsupported`` -- ``resource_relationship_search_order`` not of this service *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def get_resource_relationship_query_from_inspector(self, resource_relationship_query_inspector): """Gets a resource relationship query from an inspector. :param resource_relationship_query_inspector: a resource relationship query inspector :type resource_relationship_query_inspector: ``osid.resource.ResourceRelationshipQueryInspector`` :return: the resource relationship query :rtype: ``osid.resource.ResourceQuery`` :raise: ``NullArgument`` -- ``resource_relationship_query_inspector`` is ``null`` :raise: ``Unsupported`` -- ``resource_relationship_query_inspector`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.ResourceQuery class BinLookupSession: """This session provides methods for retrieving ``Bin`` objects. The ``Bin`` represents a collection resources. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: elements may be silently omitted or re-ordered * plenary view: provides a complete set or is an error condition Generally, the comparative view should be used for most applications as it permits operation even if there is data that cannot be accessed. For example, a browsing application may only need to examine the ``Bins`` it can access, without breaking execution. However, an administrative application may require all ``Bin`` elements to be available. Bins may have an additional records indicated by their respective record types. The record may not be accessed through a cast of the ``Bin``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_lookup_bins(self): """Tests if this user can perform ``Bin`` lookups. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations to unauthorized users. :return: ``false`` if lookup methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_bin_view(self): """The returns from the lookup methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_bin_view(self): """A complete view of the ``Bin`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_bin(self, bin_id): """Gets the ``Bin`` specified by its ``Id``. In plenary mode, the exact ``Id`` is found or a ``NotFound`` results. Otherwise, the returned ``Bin`` may have a different ``Id`` than requested, such as the case where a duplicate ``Id`` was assigned to a ``Bin`` and retained for compatibility. :param bin_id: ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :return: the bin :rtype: ``osid.resource.Bin`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method is must be implemented.* """ return # osid.resource.Bin @abc.abstractmethod def get_bins_by_ids(self, bin_ids): """Gets a ``BinList`` corresponding to the given ``IdList``. In plenary mode, the returned list contains all of the bins specified in the ``Id`` list, in the order of the list, including duplicates, or an error results if an ``Id`` in the supplied list is not found or inaccessible. Otherwise, inaccessible ``Bins`` may be omitted from the list and may present the elements in any order including returning a unique set. :param bin_ids: the list of ``Ids`` to retrieve :type bin_ids: ``osid.id.IdList`` :return: the returned ``Bin list`` :rtype: ``osid.resource.BinList`` :raise: ``NotFound`` -- an ``Id was`` not found :raise: ``NullArgument`` -- ``bin_ids`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def get_bins_by_genus_type(self, bin_genus_type): """Gets a ``BinList`` corresponding to the given bin genus ``Type`` which does not include bins of types derived from the specified ``Type``. In plenary mode, the returned list contains all known bins or an error results. Otherwise, the returned list may contain only those bins that are accessible through this session. :param bin_genus_type: a bin genus type :type bin_genus_type: ``osid.type.Type`` :return: the returned ``Bin list`` :rtype: ``osid.resource.BinList`` :raise: ``NullArgument`` -- ``bin_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def get_bins_by_parent_genus_type(self, bin_genus_type): """Gets a ``BinList`` corresponding to the given bin genus ``Type`` and include any additional bins with genus types derived from the specified ``Type``. In plenary mode, the returned list contains all known bins or an error results. Otherwise, the returned list may contain only those bins that are accessible through this session. :param bin_genus_type: a bin genus type :type bin_genus_type: ``osid.type.Type`` :return: the returned ``Bin list`` :rtype: ``osid.resource.BinList`` :raise: ``NullArgument`` -- ``bin_genus_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def get_bins_by_record_type(self, bin_record_type): """Gets a ``BinList`` containing the given bin record ``Type``. In plenary mode, the returned list contains all known bins or an error results. Otherwise, the returned list may contain only those bins that are accessible through this session. :param bin_record_type: a bin record type :type bin_record_type: ``osid.type.Type`` :return: the returned ``Bin list`` :rtype: ``osid.resource.BinList`` :raise: ``NullArgument`` -- ``bin_record_type`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def get_bins_by_provider(self, resource_id): """Gets a ``BinList`` from the given provider. In plenary mode, the returned list contains all known bins or an error results. Otherwise, the returned list may contain only those bins that are accessible through this session. :param resource_id: a resource ``Id`` :type resource_id: ``osid.id.Id`` :return: the returned ``Bin list`` :rtype: ``osid.resource.BinList`` :raise: ``NullArgument`` -- ``resource_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def get_bins(self): """Gets all ``Bins``. In plenary mode, the returned list contains all known bins or an error results. Otherwise, the returned list may contain only those bins that are accessible through this session. :return: a list of ``Bins`` :rtype: ``osid.resource.BinList`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList bins = property(fget=get_bins) class BinQuerySession: """This session provides methods for searching among ``Bin`` objects. The search query is constructed using the ``BinQuery``. Bins may have a bin query record indicated by their respective record types. The bin query record is accessed via the ``BinQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_search_bins(self): """Tests if this user can perform ``Bin`` searches. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer search operations to unauthorized users. :return: ``false`` if search methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_bin_query(self): """Gets a bin query. The returned query will not have an extension query. :return: the bin query :rtype: ``osid.resource.BinQuery`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinQuery bin_query = property(fget=get_bin_query) @abc.abstractmethod def get_bins_by_query(self, bin_query): """Gets a list of ``Bins`` matching the given bin query. :param bin_query: the bin query :type bin_query: ``osid.resource.BinQuery`` :return: the returned ``BinList`` :rtype: ``osid.resource.BinList`` :raise: ``NullArgument`` -- ``bin_query`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- a ``bin_query`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList class BinSearchSession: """This session provides methods for searching among ``Bin`` objects. The search query is constructed using the ``BinQuery``. ``get_bins_by_query()`` is the basic search method and returns a list of ``Bin`` objects.A more advanced search may be performed with ``getBinsBySearch()``. It accepts a ``BinSearch`` in addition to the query for the purpose of specifying additional options affecting the entire search, such as ordering. ``get_bins_by_search()`` returns a ``BinSearchResults`` that can be used to access the resulting ``BinList`` or be used to perform a search within the result set through ``BinSearch``. Bins may have a bin query record indicated by their respective record types. The bin query record is accessed via the ``BinQuery``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_search(self): """Gets a bin search. :return: the bin search :rtype: ``osid.resource.BinSearch`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinSearch bin_search = property(fget=get_bin_search) @abc.abstractmethod def get_bin_search_order(self): """Gets a bin search order. The ``BinSearchOrder`` is supplied to a ``BinSearch`` to specify the ordering of results. :return: the bin search order :rtype: ``osid.resource.BinSearchOrder`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinSearchOrder bin_search_order = property(fget=get_bin_search_order) @abc.abstractmethod def get_bins_by_search(self, bin_query, bin_search): """Gets the search results matching the given search query using the given search. :param bin_query: the bin query :type bin_query: ``osid.resource.BinQuery`` :param bin_search: the bin search :type bin_search: ``osid.resource.BinSearch`` :return: the bin search results :rtype: ``osid.resource.BinSearchResults`` :raise: ``NullArgument`` -- ``bin_query`` or ``bin_search`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``bin_query`` or ``bin_search`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinSearchResults @abc.abstractmethod def get_bin_query_from_inspector(self, bin_query_inspector): """Gets a bin query from an inspector. The inspector is available from a ``BinSearchResults``. :param bin_query_inspector: a bin query inspector :type bin_query_inspector: ``osid.resource.BinQueryInspector`` :return: the bin query :rtype: ``osid.resource.BinQuery`` :raise: ``NullArgument`` -- ``bin_query_inspector`` is ``null`` :raise: ``Unsupported`` -- ``bin_query_inspector`` is not of this service *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinQuery class BinAdminSession: """This session creates, updates, and deletes ``Bins``. The data for create and update is provided by the consumer via the form object. ``OsidForms`` are requested for each create or update and may not be reused. Create and update operations differ in their usage. To create a ``Bin,`` a ``BinForm`` is requested using ``get_bin_form_for_create()`` specifying the desired record ``Types`` or none if no record ``Types`` are needed. The returned ``BinForm`` will indicate that it is to be used with a create operation and can be used to examine metdata or validate data prior to creation. Once the ``BinForm`` is submiited to a create operation, it cannot be reused with another create operation unless the first operation was unsuccessful. Each ``BinForm`` corresponds to an attempted transaction. For updates, ``BinForms`` are requested to the ``Bin`` ``Id`` that is to be updated using ``getBinFormForUpdate()``. Similarly, the ``BinForm`` has metadata about the data that can be updated and it can perform validation before submitting the update. The ``BinForm`` can only be used once for a successful update and cannot be reused. The delete operations delete ``Bins``. This session includes an ``Id`` aliasing mechanism to assign an external ``Id`` to an internally assigned Id. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_create_bins(self): """Tests if this user can create ``Bins``. A return of true does not guarantee successful authorization. A return of false indicates that it is known creating a ``Bin`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer create operations to unauthorized users. :return: ``false`` if ``Bin`` creation is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def can_create_bin_with_record_types(self, bin_record_types): """Tests if this user can create a single ``Bin`` using the desired record types. While ``ResourceManager.getBinRecordTypes()`` can be used to examine which records are supported, this method tests which record(s) are required for creating a specific ``Bin``. Providing an empty array tests if a ``Bin`` can be created with no records. :param bin_record_types: array of bin record types :type bin_record_types: ``osid.type.Type[]`` :return: ``true`` if ``Bin`` creation using the specified ``Types`` is supported, ``false`` otherwise :rtype: ``boolean`` :raise: ``NullArgument`` -- ``bin_record_types`` is ``null`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_bin_form_for_create(self, bin_record_types): """Gets the bin form for creating new bins. :param bin_record_types: array of bin record types :type bin_record_types: ``osid.type.Type[]`` :return: the bin form :rtype: ``osid.resource.BinForm`` :raise: ``NullArgument`` -- ``bin_record_types`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- unable to get form with requested record types *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinForm @abc.abstractmethod def create_bin(self, bin_form): """Creates a new ``Bin``. :param bin_form: the form for this ``Bin`` :type bin_form: ``osid.resource.BinForm`` :return: the new ``Bin`` :rtype: ``osid.resource.Bin`` :raise: ``IllegalState`` -- ``bin_form`` already used in a create transaction :raise: ``InvalidArgument`` -- one or more of the form elements is invalid :raise: ``NullArgument`` -- ``bin_form`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``bin_form`` did not originate from ``get_bin_form_for_create()`` *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.Bin @abc.abstractmethod def can_update_bins(self): """Tests if this user can update ``Bins``. A return of true does not guarantee successful authorization. A return of false indicates that it is known updating a ``Bin`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer update operations to unauthorized users. :return: ``false`` if ``Bin`` modification is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_bin_form_for_update(self, bin_id): """Gets the bin form for updating an existing bin. A new bin form should be requested for each update transaction. :param bin_id: the ``Id`` of the ``Bin`` :type bin_id: ``osid.id.Id`` :return: the bin form :rtype: ``osid.resource.BinForm`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinForm @abc.abstractmethod def update_bin(self, bin_form): """Updates an existing bin. :param bin_form: the form containing the elements to be updated :type bin_form: ``osid.resource.BinForm`` :raise: ``IllegalState`` -- ``bin_form`` already used in an update transaction :raise: ``InvalidArgument`` -- the form contains an invalid value :raise: ``NullArgument`` -- ``bin_id`` or ``bin_form`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``bin_form`` did not originate from ``get_bin_form_for_update()`` *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def can_delete_bins(self): """Tests if this user can delete ``Bins``. A return of true does not guarantee successful authorization. A return of false indicates that it is known deleting a ``Bin`` will result in a ``PermissionDenied``. This is intended as a hint to an application that may not wish to offer delete operations to unauthorized users. :return: ``false`` if ``Bin`` deletion is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def delete_bin(self, bin_id): """Deletes a ``Bin``. :param bin_id: the ``Id`` of the ``Bin`` to remove :type bin_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def can_manage_bin_aliases(self): """Tests if this user can manage ``Id`` aliases for ``Bins``. A return of true does not guarantee successful authorization. A return of false indicates that it is known changing an alias will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer alias operations to an unauthorized user. :return: ``false`` if ``Bin`` aliasing is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def alias_bin(self, bin_id, alias_id): """Adds an ``Id`` to a ``Bin`` for the purpose of creating compatibility. The primary ``Id`` of the ``Bin`` is determined by the provider. The new ``Id`` performs as an alias to the primary ``Id``. If the alias is a pointer to another bin, it is reassigned to the given bin ``Id``. :param bin_id: the ``Id`` of a ``Bin`` :type bin_id: ``osid.id.Id`` :param alias_id: the alias ``Id`` :type alias_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``alias_id`` is already assigned :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` or ``alias_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class BinNotificationSession: """This session defines methods to receive notifications on adds/changes to ``Bin`` objects. This session is intended for consumers needing to synchronize their state with this service without the use of polling. Notifications are cancelled when this session is closed. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_register_for_bin_notifications(self): """Tests if this user can register for ``Bin`` notifications. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer notification operations. :return: ``false`` if notification methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def register_for_new_bins(self): """Register for notifications of new bins. ``BinReceiver.newBins()`` is invoked when a new ``Bin`` is created. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_new_bin_ancestors(self, bin_id): """Registers for notification if an ancestor is added to the specified bin in the bin hierarchy. ``BinReceiver.newBinAncestor()`` is invoked when the specified bin experiences an addition in ancestry. :param bin_id: the ``Id`` of the bin to monitor :type bin_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_new_bin_descendants(self, bin_id): """Registers for notification if a descendant is added to the specified bin in the bin hierarchy. ``BinReceiver.newBinDescendant()`` is invoked when the specified bin experiences an addition in descendants. :param bin_id: the ``Id`` of the bin to monitor :type bin_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_bins(self): """Registers for notification of updated bins. ``BinReceiver.changedBins()`` is invoked when a bin is changed. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_changed_bin(self, bin_id): """Registers for notification of an updated bin. ``BinReceiver.changedBins()`` is invoked when the specified bin is changed. :param bin_id: the Id of the Bin to monitor :type bin_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_bins(self): """Registers for notification of deleted bins. ``BinReceiver.deletedBins()`` is invoked when a bin is deleted. :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_bin(self, bin_id): """Registers for notification of a deleted bin. ``BinReceiver.deletedBins()`` is invoked when the specified bin is deleted. :param bin_id: the ``Id`` of the ``Bin`` to monitor :type bin_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_bin_ancestors(self, bin_id): """Registers for notification if an ancestor is removed from the specified bin in the bin hierarchy. ``BinReceiver.deletedBinAncestor()`` is invoked when the specified bin experiences a removal of an ancestor. :param bin_id: the ``Id`` of the bin to monitor :type bin_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def register_for_deleted_bin_descendants(self, bin_id): """Registers for notification if a descendant is removed from fthe specified bin in the bin hierarchy. ``BinReceiver.deletedBinDescendnant()`` is invoked when the specified bin experiences a removal of one of its descdendents. :param bin_id: the ``Id`` of the bin to monitor :type bin_id: ``osid.id.Id`` :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def reliable_bin_notifications(self): """Reliable notifications are desired. In reliable mode, notifications are to be acknowledged using ``acknowledge_item_notification()`` . *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def unreliable_bin_notifications(self): """Unreliable notifications are desired. In unreliable mode, notifications do not need to be acknowledged. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def acknowledge_bin_notification(self, notification_id): """Acknowledge an bin notification. :param notification_id: the ``Id`` of the notification :type notification_id: ``osid.id.Id`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class BinHierarchySession: """This session defines methods for traversing a hierarchy of ``Bin`` objects. Each node in the hierarchy is a unique ``Bin``. The hierarchy may be traversed recursively to establish the tree structure through ``get_parent_bins()`` and ``getChildBins()``. To relate these ``Ids`` to another OSID, ``get_bin_nodes()`` can be used for retrievals that can be used for bulk lookups in other OSIDs. Any ``Bin`` available in the Resource OSID is known to this hierarchy but does not appear in the hierarchy traversal until added as a root node or a child of another node. A user may not be authorized to traverse the entire hierarchy. Parts of the hierarchy may be made invisible through omission from the returns of ``get_parent_bins()`` or ``get_child_bins()`` in lieu of a ``PermissionDenied`` error that may disrupt the traversal through authorized pathways. This session defines views that offer differing behaviors when retrieving multiple objects. * comparative view: bin elements may be silently omitted or re- ordered * plenary view: provides a complete set or is an error condition """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_hierarchy_id(self): """Gets the hierarchy ``Id`` associated with this session. :return: the hierarchy ``Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_hierarchy_id = property(fget=get_bin_hierarchy_id) @abc.abstractmethod def get_bin_hierarchy(self): """Gets the hierarchy associated with this session. :return: the hierarchy associated with this session :rtype: ``osid.hierarchy.Hierarchy`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.hierarchy.Hierarchy bin_hierarchy = property(fget=get_bin_hierarchy) @abc.abstractmethod def can_access_bin_hierarchy(self): """Tests if this user can perform hierarchy queries. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an an application that may not offer traversal functions to unauthorized users. :return: ``false`` if hierarchy traversal methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def use_comparative_bin_view(self): """The returns from the bin methods may omit or translate elements based on this session, such as authorization, and not result in an error. This view is used when greater interoperability is desired at the expense of precision. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def use_plenary_bin_view(self): """A complete view of the ``Bin`` returns is desired. Methods will return what is requested or result in an error. This view is used when greater precision is desired at the expense of interoperability. *compliance: mandatory -- This method is must be implemented.* """ pass @abc.abstractmethod def get_root_bin_ids(self): """Gets the root bin ``Ids`` in this hierarchy. :return: the root bin ``Ids`` :rtype: ``osid.id.IdList`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList root_bin_ids = property(fget=get_root_bin_ids) @abc.abstractmethod def get_root_bins(self): """Gets the root bins in the bin hierarchy. A node with no parents is an orphan. While all bin ``Ids`` are known to the hierarchy, an orphan does not appear in the hierarchy unless explicitly added as a root node or child of another node. :return: the root bins :rtype: ``osid.resource.BinList`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method is must be implemented.* """ return # osid.resource.BinList root_bins = property(fget=get_root_bins) @abc.abstractmethod def has_parent_bins(self, bin_id): """Tests if the ``Bin`` has any parents. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: ``true`` if the bin has parents, ``false`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def is_parent_of_bin(self, id_, bin_id): """Tests if an ``Id`` is a direct parent of a bin. :param id: an ``Id`` :type id: ``osid.id.Id`` :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: ``true`` if this ``id`` is a parent of ``bin_id,`` ``false`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ return # boolean @abc.abstractmethod def get_parent_bin_ids(self, bin_id): """Gets the parent ``Ids`` of the given bin. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: the parent ``Ids`` of the bin :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_parent_bins(self, bin_id): """Gets the parents of the given bin. :param bin_id: the ``Id`` to query :type bin_id: ``osid.id.Id`` :return: the parents of the bin :rtype: ``osid.resource.BinList`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def is_ancestor_of_bin(self, id_, bin_id): """Tests if an ``Id`` is an ancestor of a bin. :param id: an ``Id`` :type id: ``osid.id.Id`` :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: ``true`` if this ``id`` is an ancestor of ``bin_id,`` ``false`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ return # boolean @abc.abstractmethod def has_child_bins(self, bin_id): """Tests if a bin has any children. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: ``true`` if the ``bin_id`` has children, ``false`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def is_child_of_bin(self, id_, bin_id): """Tests if a bin is a direct child of another. :param id: an ``Id`` :type id: ``osid.id.Id`` :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: ``true`` if the ``id`` is a child of ``bin_id,`` ``false`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` not found return ``false``. """ return # boolean @abc.abstractmethod def get_child_bin_ids(self, bin_id): """Gets the child ``Ids`` of the given bin. :param bin_id: the ``Id`` to query :type bin_id: ``osid.id.Id`` :return: the children of the bin :rtype: ``osid.id.IdList`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.id.IdList @abc.abstractmethod def get_child_bins(self, bin_id): """Gets the children of the given bin. :param bin_id: the ``Id`` to query :type bin_id: ``osid.id.Id`` :return: the children of the bin :rtype: ``osid.resource.BinList`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinList @abc.abstractmethod def is_descendant_of_bin(self, id_, bin_id): """Tests if an ``Id`` is a descendant of a bin. :param id: an ``Id`` :type id: ``osid.id.Id`` :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :return: ``true`` if the ``id`` is a descendant of the ``bin_id,`` ``false`` otherwise :rtype: ``boolean`` :raise: ``NotFound`` -- ``bin_id`` is not found :raise: ``NullArgument`` -- ``id`` or ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* *implementation notes*: If ``id`` is not found return ``false``. """ return # boolean @abc.abstractmethod def get_bin_node_ids(self, bin_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given bin. :param bin_id: the ``Id`` to query :type bin_id: ``osid.id.Id`` :param ancestor_levels: the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. :type ancestor_levels: ``cardinal`` :param descendant_levels: the maximum number of descendant levels to include. A value of 0 returns no children in the node. :type descendant_levels: ``cardinal`` :param include_siblings: ``true`` to include the siblings of the given node, ``false`` to omit the siblings :type include_siblings: ``boolean`` :return: a bin node :rtype: ``osid.hierarchy.Node`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.hierarchy.Node @abc.abstractmethod def get_bin_nodes(self, bin_id, ancestor_levels, descendant_levels, include_siblings): """Gets a portion of the hierarchy for the given bin. :param bin_id: the ``Id`` to query :type bin_id: ``osid.id.Id`` :param ancestor_levels: the maximum number of ancestor levels to include. A value of 0 returns no parents in the node. :type ancestor_levels: ``cardinal`` :param descendant_levels: the maximum number of descendant levels to include. A value of 0 returns no children in the node. :type descendant_levels: ``cardinal`` :param include_siblings: ``true`` to include the siblings of the given node, ``false`` to omit the siblings :type include_siblings: ``boolean`` :return: a bin node :rtype: ``osid.resource.BinNode`` :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.resource.BinNode class BinHierarchyDesignSession: """This session defines methods for managing a hierarchy of ``Bin`` objects. Each node in the hierarchy is a unique ``Bin``. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_bin_hierarchy_id(self): """Gets the hierarchy ``Id`` associated with this session. :return: the hierarchy ``Id`` associated with this session :rtype: ``osid.id.Id`` *compliance: mandatory -- This method must be implemented.* """ return # osid.id.Id bin_hierarchy_id = property(fget=get_bin_hierarchy_id) @abc.abstractmethod def get_bin_hierarchy(self): """Gets the hierarchy associated with this session. :return: the hierarchy associated with this session :rtype: ``osid.hierarchy.Hierarchy`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.hierarchy.Hierarchy bin_hierarchy = property(fget=get_bin_hierarchy) @abc.abstractmethod def can_modify_bin_hierarchy(self): """Tests if this user can change the hierarchy. A return of true does not guarantee successful authorization. A return of false indicates that it is known performing any update will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer these operations to an unauthorized user. :return: ``false`` if changing this hierarchy is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def add_root_bin(self, bin_id): """Adds a root bin. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``bin_id`` is already in hierarchy :raise: ``NotFound`` -- ``bin_id`` not found :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def remove_root_bin(self, bin_id): """Removes a root bin. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``bin_id`` not a root :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def add_child_bin(self, bin_id, child_id): """Adds a child to a bin. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :param child_id: the ``Id`` of the new child :type child_id: ``osid.id.Id`` :raise: ``AlreadyExists`` -- ``bin_id`` is already a parent of ``child_id`` :raise: ``NotFound`` -- ``bin_id`` or ``child_id`` not found :raise: ``NullArgument`` -- ``bin_id`` or ``child_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def remove_child_bin(self, bin_id, child_id): """Removes a child from a bin. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :param child_id: the ``Id`` of the new child :type child_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``bin_id`` not a parent of ``child_id`` :raise: ``NullArgument`` -- ``bin_id`` or ``child_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def remove_child_bins(self, bin_id): """Removes all children from a bin. :param bin_id: the ``Id`` of a bin :type bin_id: ``osid.id.Id`` :raise: ``NotFound`` -- ``bin_id`` not in hierarchy :raise: ``NullArgument`` -- ``bin_id`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass

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Python

assets/data/edge_table_rebuild.py

jedipuppy/reversiAI

b1cf1880d0019a107eff412a85816383b0e57a90

[ "MIT" ]

null

assets/data/edge_table_rebuild.py

jedipuppy/reversiAI

b1cf1880d0019a107eff412a85816383b0e57a90

[ "MIT" ]

null

assets/data/edge_table_rebuild.py

jedipuppy/reversiAI

b1cf1880d0019a107eff412a85816383b0e57a90

[ "MIT" ]

null

edge_array = [0,100,-1,-30,130,-150,-1,-1,-1,10,10,-120,-10,160,-180,0,10,-180,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,120,-120,-100,30,-200,30,30,-200,20,30,-200,30,220,-230,40,20,-220,0,50,-30,-200,30,-30,30,30,-200,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,60,-160,-10,130,-190,0,40,-200,-1,0,-200,-50,30,-250,5,-50,-250,-1,80,-30,-50,30,-100,0,30,-200,-1,100,-130,-1,30,-50,-30,50,0,-1,30,-200,10,250,-250,0,-50,-250,-1,30,-30,-200,-250,-130,0,-30,250,-1,70,-150,-1,100,-130,-70,30,-200,-1,-30,-200,-1,30,30,0,30,-70,-1,30,-200,-250,0,-120,0,-30,-250,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,200,0,-1,230,-30,-1,220,-30,-1,150,-20,-1,250,-80,-1,100,-100,-1,220,30,-1,220,50,-1,200,-80,-1,-1,-30,-1,30,-30,-1,50,-50,-1,30,-50,-1,180,0,-1,30,0,-1,100,0,-1,30,0,-1,0,-30,-1,-1,0,-1,180,0,-1,180,0,-1,-1,0,-1,100,10,-1,0,0,-1,180,0,-1,120,10,-1,120,-100,-1,-1,30,-1,200,0,-1,180,0,-1,-1,0,-1,120,0,-1,100,0,-1,-1,50,-1,120,0,-1,120,-30,-1,-1,0,-1,-1,50,-1,120,30,-1,-1,100,-1,300,150,-1,200,80,-1,-1,50,-1,200,50,-1,140,0,-1,-1,80,-1,-1,0,-1,120,0,-1,-1,0,-1,-1,50,-1,140,0,-1,-1,0,-1,120,0,-1,100,-60,-1,-1,30,-1,-1,0,-1,220,10,-1,-1,0,-1,-1,0,-1,0,0,-1,-1,30,-1,-1,0,-1,50,30,-1,-1,-30,-1,-1,0,-1,-1,-10,-1,-1,-30,-1,-1,50,-1,120,0,-1,-1,0,-1,-1,0,-1,100,-60,-1,-1,50,-1,-1,0,-1,-1,0,-1,-1,-10,-1,-1,0,-1,-1,-50,-1,-1,10,-1,-1,-50,-1,0,-100,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-300] par =[0,0,0,0,0,0] i = 0 par2 =[0,0,0,0,0,0] for par[0] in range(0,3): for par[1] in range(0,3): for par[2] in range(0,3): for par[3] in range(0,3): for par[4] in range(0,3): for par[5] in range(0,3): index = par[0]+par[1]*3+par[2]*9+par[3]*27+par[4]*81+par[5]*243 if (index > i and index < 728): try: edge_array[index] = edge_array[i] except ValueError: pass j = 0 for par_each in par: if (par_each == 1): par2[j] = 2 elif (par_each == 2): par2[j] = 1 else: par2[j] = 0 j += 1 index2 = par2[0]*243+par2[1]*81+par2[2]*27+par2[3]*9+par2[4]*3+par2[5] if (index2 > i and index2 < 728): try: edge_array[index2] = -1 * edge_array[i] except ValueError: pass i += 1 print(edge_array) print(len(edge_array))

78

2,311

0.453096

894

3,198

1.60962

0.060403

0.550382

0.740097

0.972898

0.5205

0.47672

0.352328

0.306463

0.269632

0.251564

0

0.374269

0.090994

3,198

41

2,312

78

0.120743

0

0.176471

0

1

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false

0.058824

0

0.058824

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null

1

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1

0

1

0

1

0

null

0

1

0

8

660718d57acc1be8cf7af1d28c6e4fa502f38466

101

py

Python

utils/__init__.py

BogdanFloris/detecting-and-addressing-change

b11082ebd0fc421eca31c5ba82ddb52446fa56f5

[ "MIT" ]

2

2020-01-24T15:50:47.000Z

2021-04-16T21:21:25.000Z

utils/__init__.py

BogdanFloris/detecting-and-addressing-change

b11082ebd0fc421eca31c5ba82ddb52446fa56f5

[ "MIT" ]

null

utils/__init__.py

BogdanFloris/detecting-and-addressing-change

b11082ebd0fc421eca31c5ba82ddb52446fa56f5

[ "MIT" ]

null

from utils.constants import * # noqa: F401, F403 from utils.formatting import * # noqa: F401, F403

33.666667

50

0.722772

14

101

5.214286

0.571429

0.246575

0.383562

0.493151

0

0.144578

0.178218

101

2

51

50.5

0.73494

0.326733

0

1

0

true

0

1

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

7

6632535a9f9ec014dd4ec360bcfe4e4e8993981a

129

py

Python

zqy_utils/result_parser/__init__.py

qianyizhang/zqy-utils

2bbd1c6b3372814227a1e9061f34a0eae100b860

[ "MIT" ]

null

zqy_utils/result_parser/__init__.py

qianyizhang/zqy-utils

2bbd1c6b3372814227a1e9061f34a0eae100b860

[ "MIT" ]

null

zqy_utils/result_parser/__init__.py

qianyizhang/zqy-utils

2bbd1c6b3372814227a1e9061f34a0eae100b860

[ "MIT" ]

null

from .eval_recall import * # noqa from .eval_confusion import * # noqa from .table_renderer import * # noqa

32.25

42

0.627907

15

129

5.2

0.533333

0.384615

0.358974

0

0.302326

129

3

43

0.866667

0.108527

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b0a7709db2320d6ed5e312e68e5aa251c139dae2

4,172

py

Python

src/bot/tests/launcher/test_launcher.py

ItsCalebJones/SpaceLaunchNow_API

09289068465c462557649172792ab0f41f833028

[ "Apache-2.0" ]

11

2017-06-26T05:01:31.000Z

2019-09-13T18:48:27.000Z

src/bot/tests/launcher/test_launcher.py

ItsCalebJones/SpaceLaunchNow_API

09289068465c462557649172792ab0f41f833028

[ "Apache-2.0" ]

14

2019-01-30T23:13:34.000Z

2019-10-08T10:43:36.000Z

src/bot/tests/launcher/test_launcher.py

ItsCalebJones/SpaceLaunchNow_API

09289068465c462557649172792ab0f41f833028

[ "Apache-2.0" ]

5

2018-04-24T16:52:59.000Z

2018-08-22T14:06:01.000Z

import unittest from rest_framework import status from api.models import * from api.tests.test__base import LLAPITests class LauncherTests(LLAPITests): @unittest.skipIf(settings.IS_LL, "Not supported in this configuration.") def test_v320_launcher(self): """ Ensure Launcher endpoints work as expected. """ path = '/3.2.0/launcher/' response = self.client.get(path) self.assertEqual(response.status_code, status.HTTP_200_OK) data = json.loads(response.content.decode('utf-8')) self.assertEqual(data['count'], Launcher.objects.all().count()) self.assertIn('id', data['results'][0]) launcher = Launcher.objects.get(pk=data['results'][0]['id']) self.assertEqual(data['results'][0]['details'], launcher.details) self.assertEqual(data['results'][0]['flight_proven'], launcher.flight_proven) self.assertEqual(data['results'][0]['serial_number'], launcher.serial_number) self.assertEqual(data['results'][0]['previous_flights'], launcher.flights) self.check_permissions(path) @unittest.skipIf(settings.IS_LL, "Not supported in this configuration.") def test_v330_launcher(self): """ Ensure Launcher endpoints work as expected. """ path = '/api/3.3.0/launcher/' response = self.client.get(path) self.assertEqual(response.status_code, status.HTTP_200_OK) data = json.loads(response.content.decode('utf-8')) self.assertEqual(data['count'], Launcher.objects.all().count()) self.assertIn('id', data['results'][0]) launcher = Launcher.objects.get(pk=data['results'][0]['id']) self.assertEqual(data['results'][0]['details'], launcher.details) self.assertEqual(data['results'][0]['flight_proven'], launcher.flight_proven) self.assertEqual(data['results'][0]['serial_number'], launcher.serial_number) self.assertIn('launcher_config', data['results'][0]) self.assertEqual(data['results'][0]['previous_flights'], launcher.flights) self.check_permissions(path) @unittest.skipIf(settings.IS_LL, "Not supported in this configuration.") def test_v330_launcher_detailed(self): """ Ensure Launcher endpoints work as expected. """ path = '/api/3.3.0/launcher/?mode=detailed' response = self.client.get(path) self.assertEqual(response.status_code, status.HTTP_200_OK) data = json.loads(response.content.decode('utf-8')) self.assertEqual(data['count'], Launcher.objects.all().count()) self.assertIn('id', data['results'][0]) launcher = Launcher.objects.get(pk=data['results'][0]['id']) self.assertEqual(data['results'][0]['details'], launcher.details) self.assertEqual(data['results'][0]['flight_proven'], launcher.flight_proven) self.assertEqual(data['results'][0]['serial_number'], launcher.serial_number) self.assertIn('launcher_config', data['results'][0]) self.assertEqual(data['results'][0]['previous_flights'], launcher.flights) self.check_permissions(path) @unittest.skipIf(settings.IS_LL, "Not supported in this configuration.") def test_v340_launcher_detailed(self): """ Ensure Launcher endpoints work as expected. """ path = '/api/3.4.0/launcher/?mode=detailed' response = self.client.get(path) self.assertEqual(response.status_code, status.HTTP_200_OK) data = json.loads(response.content.decode('utf-8')) self.assertEqual(data['count'], Launcher.objects.all().count()) self.assertIn('id', data['results'][0]) launcher = Launcher.objects.get(pk=data['results'][0]['id']) self.assertEqual(data['results'][0]['details'], launcher.details) self.assertEqual(data['results'][0]['flight_proven'], launcher.flight_proven) self.assertEqual(data['results'][0]['serial_number'], launcher.serial_number) self.assertIn('launcher_config', data['results'][0]) self.assertEqual(data['results'][0]['flights'], launcher.flights) self.check_permissions(path)

46.876404

85

0.661553

498

4,172

5.431727

0.146586

0.109797

0.119778

0.153789

0.949353

0.932348

0.912754

0

0.019534

0.177852

4,172

88

86

47.409091

0.769096

0.041946

0

0.78125

0

0.185707

0.017418

0

0.484375

1

0.0625

false

0

0.0625

0

0.140625

0

null

0

1

0

1

0

null

0

1

0

8

b0e61e3c271ca8a58289e52c8145d6737bfa2b24

2,730

py

Python

examples/method_examples/grid_search_tuning.py

c60evaporator/param-tuning-utility

80625f875428badac37d8439195a9327a565b040

[ "BSD-3-Clause" ]

null

examples/method_examples/grid_search_tuning.py

c60evaporator/param-tuning-utility

80625f875428badac37d8439195a9327a565b040

[ "BSD-3-Clause" ]

null

examples/method_examples/grid_search_tuning.py

c60evaporator/param-tuning-utility

80625f875428badac37d8439195a9327a565b040

[ "BSD-3-Clause" ]

1

2022-01-06T05:13:07.000Z

# %% grid_search_tuning(), no argument import parent_import from tune_easy import RFRegressorTuning import pandas as pd # Load dataset df_reg = pd.read_csv(f'../sample_data/osaka_metropolis_english.csv') TARGET_VARIABLE = 'approval_rate' # Target variable USE_EXPLANATORY = ['2_between_30to60', '3_male_ratio', '5_household_member', 'latitude'] # Explanatory variables y = df_reg[TARGET_VARIABLE].values X = df_reg[USE_EXPLANATORY].values tuning = RFRegressorTuning(X, y, USE_EXPLANATORY) ###### Run grid_search_tuning() ###### best_params, best_score = tuning.grid_search_tuning() # %% grid_search_tuning(), Set parameter range by 'tuning_params' argument import parent_import from tune_easy import RFRegressorTuning import pandas as pd # Load dataset df_reg = pd.read_csv(f'../sample_data/osaka_metropolis_english.csv') TARGET_VARIABLE = 'approval_rate' # Target variable USE_EXPLANATORY = ['2_between_30to60', '3_male_ratio', '5_household_member', 'latitude'] # Explanatory variables y = df_reg[TARGET_VARIABLE].values X = df_reg[USE_EXPLANATORY].values tuning = RFRegressorTuning(X, y, USE_EXPLANATORY) # Set 'tuning_params' argument CV_PARAMS_GRID = {'n_estimators': [20, 80, 160], 'max_depth': [2, 8, 32], 'min_samples_split': [2, 8, 32], 'min_samples_leaf': [1, 4, 16] } ###### Run grid_search_tuning() ###### best_params, best_score = tuning.grid_search_tuning(tuning_params=CV_PARAMS_GRID) # %% grid_search_tuning(), Set estimator by 'estimator' argument import parent_import from tune_easy import RFRegressorTuning import pandas as pd from sklearn.pipeline import Pipeline from sklearn.preprocessing import StandardScaler from sklearn.ensemble import RandomForestRegressor # Load dataset df_reg = pd.read_csv(f'../sample_data/osaka_metropolis_english.csv') TARGET_VARIABLE = 'approval_rate' # Target variable USE_EXPLANATORY = ['2_between_30to60', '3_male_ratio', '5_household_member', 'latitude'] # Explanatory variables y = df_reg[TARGET_VARIABLE].values X = df_reg[USE_EXPLANATORY].values tuning = RFRegressorTuning(X, y, USE_EXPLANATORY) # Set 'estimator' argument ESTIMATOR = Pipeline([("scaler", StandardScaler()), ("rf", RandomForestRegressor())]) # Set 'tuning_params' argument CV_PARAMS_GRID = {'n_estimators': [20, 80, 160], 'max_features': [2, 5], 'max_depth': [2, 8, 32], 'min_samples_split': [2, 8, 32], 'min_samples_leaf': [1, 4, 16] } ###### Run grid_search_tuning() ###### best_params, best_score = tuning.grid_search_tuning(estimator=ESTIMATOR, tuning_params=CV_PARAMS_GRID) # %%

43.333333

113

0.709158

349

2,730

5.223496

0.232092

0.049369

0.078991

0.048272

0.817883

0.791552

0

0.026979

0.171795

2,730

62

114

44.032258

0.779301

0.179121

0

0.76087

0

0.209324

0.058958

0

1

0

false

0

0.26087

0

0.26087

0

null

0

1

0

1

0

null

0

7

9ff03fa0e71ed501dc907ca677ca6f3f80044505

160,718

py

Python

rest-client/documents-converter-file-creation.py

bchekuri/python101

b025bb52c56ee69647310a6f883c88f80697a2d0

[ "MIT" ]

null

rest-client/documents-converter-file-creation.py

bchekuri/python101

b025bb52c56ee69647310a6f883c88f80697a2d0

[ "MIT" ]

null

rest-client/documents-converter-file-creation.py

bchekuri/python101

b025bb52c56ee69647310a6f883c88f80697a2d0

[ "MIT" ]

null

import base64 payload = "TU0AKk1NACoAALa1gD/gUDgkFg0HhEJhULhkNh0PiERiUTikCcEVjEZjUbjkdj0Qi8fkUjkklk0YkMnlUrlktjcpl0xmUzmcwmk3nE5jk2nU9n0/hM8oFDok5oVFpFJldHpVNp0dplPqVTiNRqlXrEHq1ZrlYrddsFPr9hslIsdltE/s9ptk4tdtuExt9xukqud1vEju95vk7vt/uWAwVLweFkt7w2JoOKxkvxuPiuIyGMyWTxOVy2FzGZwWbzl/z2fvmh0V40mlumn1Fw1Wrtmt11o2Gxsmz2lg223rm53Ve3uZ3m/qfB4Vi4uQ4nHpXJ5Vm5uU5+K5nRoHT6k+63XnXZ7Vu7ud7+A7nhmXj8ku83nlnp9V29um9919nxknz+ki+33j35/V+/q0v4/6MwDATIwKssCQOiUEwUkEGtxB6uwZCKGQnCiFQtC6EQzDSDQ5DqCQ/ECLRGqURRHE8QRTDsVw1FsLxfCkYwjGcHxrBsbwVHMDx3AsewFH7/yC/shv1Ir7yO+kkvi0IASdJ8nh/EqNSbKEoSlKaUI7K0ryzLSOS5KMvQNMEwgBLExwXLczTRNMHTLJ4/n+eEzzdNU4AAD6BkBNs7IbKoAADEM+z8hdAT0gZ+UJQrFzggp/UXRitTWB6DF/SU/zXSNMUNLdBU5O6NgBStQKrLdN1LDct1TUyOAOgZgVRVh/tDRBgSdOVZ1Ujk5HxJ9SV1DyPkBJ4B2DSaO19KFj2EjtbyhXNmRIjh/S5WVStDZUoURaVaWdLluWlQFjH/Udu2nUVcIEeFgXFNdXoEfl4W7Ks23nd0wU+gZD3Pb0wXaf5j37JtooEc+Bo7fSBnvhFXINhlztDLE637dCOWJhWIo9bU0UvfGLyfblr0w0J+SheeR0k0M6WKgVIXojtiZaf9FZhMtBH5T58ZTRl6oEQN155Qsm3If5wotoU/Sbbh4IFWObVEgh8adpM7NDouaIFPmoI1cKB4pZjQ4LeOwWO0lfaLX2qzc0k43Xstg2zMVabhXTQ2fPOnbrWdAXMf9ibXNMq5pUkncDMeloFV+Tb3VkmoHgVlcPLzQ3ng+WcnLNa4Wf9n8zKbZ5lz8S7PRFq8NriM2rcnGcbVOVydt/UY+jVnzkcG57DNc65l11sS2P+d3L3OzI7Yx/A/1vfVBzZ/k/lnZ91XiBG/3HibikRv975dONJQXT+vuyOzp4MrdHFFvg/6Ho+LMoH7x9nsYqw/5/p+q9fv/H8o/Jb3/6e1/56oAnngGeSAp4YDnfgSd2BZ2oGnXgedSCJ0YJnPgqc2C5yoMnHg2cWDpwoPm/hCb2EZuoSm3hObSFJsYVmuhaauF5qIYmlhmaIxA/FcjwXIIBrxBB4L3d+RR4Tw3ygDV8AEfieh4JSdi3wio+E9OMD+7iIygYkpzB+4x86NiKjwT0PgB4/g/iAD+PN4UV4lxgjBE4ig4FKjgSwzpKUaAfxLH9EB7pFRxKVGAy5eEZ4lA/JC1h5hFRhKvGCvFUkgIsSJH+0BxxFRjqvkhFcf8jIlyQkc68ioj1jLkigQKTAPxBtOjYRMB7QJQJYlGuSGpTTEAfkTH+Vkc5AyulORF5EfZaSiVHHReA4GxskIopAi68Ily+APMAi0w2VEUUVMKZEtWaSBmDM5ns0A/jwD/L2S8tosTBlyRByU3pWsWkKRNlgH5QKIlHKVzs4yHzrnhKGb81YsTwk3EEiTRx+SpkVKKcEmWfzyIcOMf4/n3x+oFPiJcfR/iDHCHeThExh0JAPMIgUq6HSCD/Hce4N6KkSYEP8AcXh/i/EAP8fso4vT/HuCekZEV+UmV8MAD4wACABWUyak4Px8ADHAB8e8eJsyoZ+6eOqgaeqBjsrge4R6ZkQUQ0AYD31R1Np4nIYC5JsNKf2/ysJ+6xlQrKf6s6A60pUrXWqtqZK3kTleZyuZwK4xtrvXKvKoa9kOrqZav5k7AnIr6m+wqmbD2IsSp2xdjLGqNseruyKyLJrNsqQWwZj7MmNs2dCy9mLP2gtCQOzp0rR2ktPOiz9pTL2pX9ae1hhrYmatdbMwdtjwWptweK2tvbdW+thcC0duzQXCtDcQvtyDR3GtXcyy9yi83QPhb+6lwbq3DudZW6R8rs2Tu2am7tkbvlxvGay8Nj7yltvSa+89jb1oAvbYu95sr42Jvmgi+th77m1vzYW/ZYb/oQuvce/pk3kWaKw4xSqTlXssXgsSQhG1b4IKu4xYyTljYOa0uojz8baYVScoJJ6c8GYbe4RB08Pbb4JxGnHDTf0nYqIrgqzmLHY4uxLjBvxHFlVGtyVR1of0o4vZkwAjNN8I4rwqANaof1BQ8pQntWir8D0JcPGrJOPypj8WMnxQUbsotakuq+q7TljR9HgA4ADnU9R9ilMIfCr4oZckupVPkP3cAPn/QlJ2RsAYJzOD9QUP8wt/Zoq9YicliTxHAB4AAf6cOdD/FqYS7IsZ0zi399VGQAADz26fP2AsgaBUFnHQtK15PDB+6fSDnQfaP0jGRxgH5hVDTmB8f2GdEabdxEhSuoL1aAc7oLQ+p9D4pi1H0QAftHw8b/FnPswmn6WXXl3WmnNfZ8x3fTJew2cAH2NP9nMbqg04j6ADJuzkzz/zjMKMmYyBw600OCjIeAAafx9n/bqsWcUnXDSuMG7ADxQjAMAfwAVqg/3VFnPVGchS+tJl0B+9N3b4vJsLfjNN/EEpXUPOe4OGDAy5wndTyYw0ZD8zpvKtMn8T4cMAPmv986iy3hfYmXHMYmjrrioWqwDjAziP4AgP089C5NHccAfHWadac0AQL7+HdJ5lxfJbJsnca5zjqbaUqhUf5+uzoXRNcAM6PvVeDpyBDB6d1DWvMaMdUyAnHfvWWZdbpNMKO4wKh9GAI8kBmeuTjgDgsDGI/xg0rECAcYPUe3R37hlvEfc3ZuimSAHvAAxgKx748kB3gOkBgW4sRSogY++J8X23qd5sQOx8kxTIs3JH0a8xGToQHu+j4A9MsB+eAgJodwq8QYwA/+J8TtLxvhb2erUF61LDMtwJyEDINW+qwDe2A/FCZe0eVyX6Z10QIh/i5C0/8i+Hq1X9z3+nPh0j6IeY6KAYB3ZPsazzzxyT8whAiDEHpze+v/yNuO4s1h/v0OOJLuuv2KNlbtcADAGOyIltPHDP6iBh8FBKMgfv8gBtsPxvtwAOaiBwCMpMuKNPSQElRh/QGQHJSHGG6F7mco7pMhBwMtewNsZEJNhCBQQMxODwRvpAGADo7gCAONaQLh+AGMvgDFyIxODwXgPhAvFtOPdO3vVNRwPtiv0wdk5PLE5PMPcwgQhQZgHs1o3FyGnokMYwnADv1uLQpwPQcQrQCuDvKvZBgAfMmADgAQhFbtfIyKhlPo4QBtZvSQ0qNQ1tgtuw3NTQrgAo7Ouu8snI7w8KcknJ/lYo4KVlaNcQzFRxBQ1PUxDQqREPdwrt/Nco4O8wBxIAeRJP+qht3CLIwqeM+vSAHxOwpRPw2wBxMNjKgl2OcHkufm/o7hARVGZOYovNpE5IfmcsevoxaRCRPPkxQHhk8tTsMM4xrgHuCnOg/ADxhwmlaOYowNakpB4PLKeRfxmxavHQ2CpM6CBMht/sGReRsqMqcxtxuxVNBuYp/xxvuNOovI7x0xnxbRoxcR4OOM+sFNZo+hwAfRug+APtBgePAptoosMRGPogPw1EnNHAAOZiskWx3RpyKyEOisYqlM0SHOYAPMMyJxSngk9HTwLKTBAovSNgASOyPjfRDnhtBx4k6l1HYs0PcyVljB8AOFKwtI1nhuJwsyayNRCSOMcvyxpMSxqlPsJm/lBI+h8AHOfh+SWJLykG/phNUnOk8wRyagfybycxbi8NMk5tQq/GMrZMCq9sAwbMBrmy9Lny7K8y8Ddy/K7zASQTBK4zCSdrrTFLsS+LtTDK3zECrzIiqTJjhzHq2zKkTTLq1zMjjTGrvTNq0zOinTRpYTQqzzSjlzTqyzUikzWjnTPrxTVqxzXiizaiiTbihzcjqzZqwzdi1Ten9zfjsTgn8zhiezjjtiJnwEzTmznTnzoTozpTpzqTqzrToSdK4MUKviehnjJmIH9JdTuCdTvDITwD8TlzxiczyjHzzqxCJIxClT2DGz3KyT4T1CcT5jGT6qzT7z5Tvn7TxT/zzUAzt0Bz20CiHz4ikz9DFT+K0UDUGUAD6z00Dz6UEiHUFikUGjE0HjHT/UJUCUKUQUN0Jzw0I0S0RUT0FT8Cb0ODDUPK2USCi0XjC0Yq3UBUQ0EUR0c0U0d0V0M0WiaUajB0bkv0e0aUTT0UZiiUiDBUjTtUWCBBH0k0VUl0BQKCEIhlyzsiOzvB8NJk+h8h/0xh+CBBPi6UoK8T/E6UtE0OmHqCVUvosk+vhRKk9Qaiw01K9T/HcJnUtlAiB08iOU5maiCAGAfhhAPhwlK1Biu09q+UpBwAwFF0ts1GXVHCNU50tiBAfgPhHgHhjhDsqi4VIFW0BBw1OQJk0OJ1MU5JLhP1OFIBHhPhDhnhhpLVS0MCGz41cAfh9qEg/lLhzmdmDh/vdg/h7nkUzCTUv1Yk21ZgPhjhHhxtCi2VTLDUDJHBgA/AMAPAHhwhAmdxLxsoxxeVFiS0vhHolhAA+A/hnoxBHgfhjhPhxhw00C41sCHi7z4iQgAAfAIAEADhwgAGdtH1jh8NmA8KhVwV0pLhnh5OiAfAfzy15BzhPh52L001diGV+owycMMHcB8NXkpM9AeAAAcPMWGiSUv2IAfVvAf18WLWMHnWN0eUDIdB/APPcgBhBhwAQA8AfAEE9WTAeAPQm2B2HB8BjhxAeA/APWYiBAHgf2Lh52a182OCFz4lfWdWeBhhwB8AcAeAfWiB+AeWjSNJ4WWJLhzhzAeA/gP24qE2oBzgP2rV8VdWb0pMmywAHhD2vh+WxAflKs9KgWjgDqL2lW2kpW4o52J26272bUgVeFclYhgVv2/hwXA2T3CFFBAWj04W1h8BxhjNVgPhPEpWE2qW7Wr283J2OlcooScW/Bhhw3AgcFzM9NX2d3QiR0vhxhnOFAPhHRyFIXIXWi219K/UKh7ywScAP3M3b3ch8WT3eMs1CJLh4hnAfAA3hk5Gj15163kVr2siFT4hBh+AOAfWj3ogcAcFcxsg8W0S5XsB8B4hHRVAPhmE5KL3wqEW8Xk3yiEz4hg30313oXAXBWpB8X5XDiT0vh4hPAcB/gPhiCBF+VpVqXxi03lLFUDBgB4AMWn4EWwWxWyVjh4B8A+X2XE3RB8YJYKYLVj4KBDhHqL4AXyW9Ugm6AeAOYWPBX5QhHh2w2jv9Gj4XAPYJtaKE2iBHhDmBYcYOYBCET4k6Xq4SAAWgygRYyWBgWk4XAfWnV0FqgHhDAHhhlX4oi0YOkK0K2uAA4f2CuiImPsyWN6Yj3fJLh+Ywk8h4maFRqcI3YN414piDz4s6ABgHYEBwojAfqIOigBRaIvY8CRUv49w6hH4/GTSmpk41Cy42LHUUCDZKUhiD2rUi5CiDUNZRzyCDqEZUYdXKCE5SCZ0OZX0n5UlHqv5aCZUOVjZcZY3YZZ5WlH0u4c3X2tZd5iCCKFUbZc5mUhZa0lT30kUm5pz7Zqih0nDAZQEMUK0dUL5g5k0LT95niB5V5rUrZqZRZ00f0r52ZtZrz+5sigZti/5urIZ4Z655UIUpZwZy5xXzTr6B6CaC6DaD6EGT5zGXaE6G6HaH6ITrZjVI4d5/0HaF1g5yaL6A4B5o5e5+UP56Cf57C+58LJZ9aR6QUZaRCfaSC+aTLKaUaW6VUcaZTu6aUj6bZl5w5kXzaPCY6XC86YLLadT16cUo6K0faeZ35/alaAae6O6NUO6MZ0Z451Zsaiz86j016Wab6r556s0Xat0+au6d6n6mak0q53Z16m61al62a052636sa265az64ZZMyiGIk1SYHiBZbiCXUGvzsmvWoCBhPu0CB7AGaafiM6hrRUBFbz1a+VMiNzy5ebBR33rh/h32pCC7DUz7E6/iCocCY7HkQ0Kvp69tcbK1NO0iD7Mlyy6CCUqZmiCbQHnbRB/7F7SiXbTrUT/BgtIiF7KCWTyqICC4AH1CFbaogFw00be7RiCboiWbfrVZZBgp7CFbiiVzy4ZbkiCPrqv7agziC7n7GCCbebGiMbrLX1tIkh+h/k5GDmGb4kpBObWb1iIzyhCCD7lbqCC0qB+by7wiCboGC71bTaqE5YCgOAYA8VwKrB/AMA+Qfu+8JgPvd5eUvCBBGKPtJpLh/3UY/YKB+A4gP4/I+4/AcXuGaAxh+Axh/AYh/2oKEV770FKhnhxhhh4qLh5ocGDhxgMB/0qCTb21+cGX0gQA4WBs1gAA/AIWFmTNcAIW/B4cN3sB/8PF2KhlY3UN3nkg4xuox8yAQAPGcBxh+AgA/AQAf2oM1hAcDuRgAhxAAh4snocM1gAgOA/8iiS8j0K8GgABwKhcn1/gAA4RYtcSPBDhw8sbLCBAHAfhw2/4y3Tgfuh8Sh4gDgGAfVEVEZI0qX7QigfADAPgPWXg/gMIoptgwh+AYWfh4AYB/AEA+A+AIVu8+bWiKdAbghwAOACBwBghwAYWzgPABB4AgB8AYOeAB9G9H7XcaWKVphH1PhPYD4KB8B4B/X1311PAHhH9RB4lFWjhHgPAeA+AfYTocB4h4B8h8WwYUg+Wz9bWnWoddiJ9e7IgASJ3a2wX1VvhwhwYUtcJU3a6/YKAf1qVQ1pBPW31G+BlIAHA/2J1QBn0qB89x83VP9zg/AOVPbGVUg4h+dXB4B+A8B/AOeUAMA/97iT99YPgASIBhh4XNHk2jhwh4A4a+AHhghh4W21lIVP4KYKBz+Hc+7ZB4lIXiFIBn4Mh/h4h8IcXiBj9zg/8+cD80g4mjB+dtg8B/+VB/8h9TotiEeYUpFboklb+bXLtaAAeR7WBghw+gY8lIBP0qNcWqej0qSPdxg/hHNPV3+n+o+p154k+wA/+s8Tbdh+elev+w+x7cCSez4dpEokliXbNHWjlb9Xe4+56/ZN08FqgD4Ye8eoZNt7lR150qHcV3eqYkw8fE7GFbgx/GeletgOet/I+yiD/KbsJqliXNdj/NgAAweee5Ka2HfQh/tVyPfS+idx5AXOfVm6fXfDXcAOWaocfafbB/fcetgM4KcPeX8FvDJqmBXNeAAPqL+bKFBgh4fk210zdq4KGX/nk9dxl48+fmVph/hziAPw+H9HD9jh4cv9+H9Pwo/sd/uOIvx4v44P8ORcMP8Pow/v+QSGRSOSSWSveTSmVSRwSuTP6PsGFD9hv9wPwOD4PB9wv94PwPv4HsF4IeXUeVM9/vh/sdHvcPu8Pv9PDw/o+OP94wuQA4fv+DVhjv4eD9HB+DjiHQ2FxKKuOKP48Ri5xsPsSkXmT3q+S2+P+YP+ZPwfuN4OA+Bg/TtwvB4HiggdAvAHz2/3mlUynONHscPueq1esxU/x6Cs+w02yD9PB9nh4eRgf2w/3A4vwx3G5hy6n675e+SjgS6/XzA4MfuFwuAcDwcTtwOB4DiggNBvjK8Oj0p8xFH5zPMfQ1OpxWzedH6mlBwfztH7A/+ypwtwvit7mK3MeHiyD4PuK7SVuFAKTQAvLjpmeAAnAAAeAAncFHwACggAAbsMtAiTKUeKImPDxDkeB5PB8/zRn+D0UAenbUqwDgPB8B4PxeHidPmP7HHwfC4IqPg+B5HoeAwnkMwFIiSwMpEEMIfABnCAA+QeD58ACfgDKCCADqBDEjJFDZ/uWA5wAeYERB+ACPvKf5AA/Cc1oMQJ/qwBgAB8AD2zNM0bSmfgAR2fw/SfQB/QnLcuJFAdDJsy8lB+fjKkCfwBgcD5+AOf1Jn8DlKSHRKQqUeatHgD54B+cDWB/OETGAP5AB/VaDJkhpGCAfwQROH5AH+YDaUrSM/D/Kg/gGf4Ag/DlO0PZFFL+wKSUKkygWUkClUShZ/K/AgP1BaR/0RQ0kKPZqR2ekrCW5alDWtbDhn2jiJW5b0uXAl1xJFciSHxddkXRLl1QCflrnPblu2VeaV3qkN7pHVtz07fztH4PyDYHeMjYMlWEJBhSREAj9pX5I2HuHQY/AfimC0Xj1xqPXOG2qP9rwIAGS5PZGLpTjOBr1kGdZ6v+KyJm6X5Vn2d6Lo7g5RZmiaQl2eabqCR6BDOhJLnOopJp+sajqcCaqkmr63T2xbJgmbZTssNbTreuwDr6R7DsmtbXnu2u1t6RbjsW57pmtO7wkO9a3vm+2luzh8AkHBaxwnC2Rw7gcSwGmbpxvHUTyDL8lQYAc7z3P9B0PRdH0nS9N0/UdT1XV9Zz4D6U43W9l2fadr23b9N1+z6Xy5/8t3sjcyv/N8ptff+BDPhL7tHL+P5EA+UvXid753nuH6K8+n5vrb9RPtcd6vuZ/2C9cXqPw/EvXsKR7/C/R9KkfWo/2779/4Jd+TieZ8H707/JK36OVf65h8iB3itpftAMkz/yVQBeNApLkDCUwOgRBB4MBUkwHbLAmCyyXdnGg03KDryYMLhhC3uEaBIJIFf2+6FL0ISr0hO4OF52oVpHha/WGr14YsHhm4yHZwIbkshzAKIL44PvlY8u8lI8CSk9GAhMkw+A/lAL9FQpEHIUxDJG9NQcIYnLOV1FIksVIrEgiwduI8SG/toQkvokC64wsriiVNscaIqn/jxFmNbSYkwGJ9GQkK5iQRzXtGOOxIGTR4jOUuH7vo+vqh6xgj48AISJJBIQn0TyQO6JDIuR0jWjSRfjJNnBHzESgkzHKTg/5PSKJDGaPRfItQji4SJ6YwShAOTi74eABymD8Iu74gRSzLOvJqPcfgAWYg4jyS0b4+EfD/HyY0lLWimEkHOVgkAwJMEpO6SmOE32fS3JDLksADAeTMABL+bw4AIEKAAPwMCrgQydH+ABNQfAAy/HwAiZ4/gAzSBgq4MMhiRzYcpNskIwAAlHTtOKfJUx/TkbrKZoY/yaj/AQDieYAA4AHEAmOfSfA+BAA+ICh8rk+KAnWOAAY8EzxWQlNIEFKQQ0IS6SYeFC5uRjJUqBQcmJwxxomYCizOpzEgenRsAAOAQB4AgDAA4gwDjAVyPgCAPACAPEDStLICAfAIA4gsQKDJnjwqiHyrtX6dR3JIqSbVPxjxpJKRIfwBpVLHqMthaLTalrLhBRqTocDHh4LKA8Q4gRgFLsQB4B4A1UzAB5ZUH4DxhjBOjM8eI8JpWQMlW9aZJh4xwH+wIkIx5NEkIkQsoxIa+FgtkUupL3VvtoEHJ2zyjbEjDEHFcHgHwHgHJlK4fAPlND/swOAxszxwB/mlcK4hSSTDhtNagkBY7akSKZRskFsQfsxto1CwL07cyuHAvkfBZQP2+jCPCxIB5jj4MXQ+xQ4BgyyOlMAPll75XUruVMht4QfzbK4RADgdyFxOIWahjpTBzsBE+MAGI3zu4Eu/bVeFGGrExk6gxXCNEKgHjCg0H4DjsyupkB5M4DxAAAGHfpCN/cUMba0ONSiFsSAPm2OAqeCAg4+yEB8ZlIg/rHl+OYAeFBDjAB/hhL+GnDYcbBh4P6YUGoNTqAPEk8iy41t0hNCeLsYRUorekAE0sT4pbUSUYYjx8U5CGOAQ82xgsmyBncYZQwHjICGx1Y44BBjkBDhQA4DAP3hDiSDHF5MqNww8B/LAOAOYiy5E4fAGMv4pxIm0B+ZL8swP+nwPF/bh42JMU4eA8Rwjj1dNsQ5RiIFlGOiAQ6Hhg6uK1ow5eqx4MSAfeFM5TcpLKvK2iXWn0ODwR8D8qYh4nGP1NpyLBlLFGCzNHoYAONTX/mvUYkQxxnjjHwMMeIxx4zbvaU0fhZRHjDE+ZsYY8yJLv3QfWzrEj0j+AYV8Q+xXH6PbzKgoQDx4D72ZYkX4hyW7SsuUOTtxx/slswO+5pQhwj9Hxty/1xW1KVJGZ0cY+Rhj5GOPndREookDO+VgR489zb1uzNU+0YT0j8RKI/gD/uBOBlQdTgw+A4btB+I8QYg7G3pvjZPnAGOHjD16zAyV6eOAPEGZPb4/FhkiEeOciREOTzbMKrpYIDxx255fujmRTR8b4jDsGWAH+dwEj/BmQNwh4BwDwHAHgBxD0in13mxIAKwE4RcB8AIwbNbD8J3nUtl6VWikgkwkaFewJqACOcgvXyHIVsb5YeJbiQYv3JZ0n3cE4rX7mobY7vI3gPpqg3JdV59ISsTSqTqg06+IphTIj6FUJePTHP3b/lCReWkhSrzXYyIELQqZRCoz/Q67TUn0+yHAAHpJAI/1Wju6wmnkH8B6fE+AeAGmKeBCgCWJGBPeV0+VWKoHghYBhH6Rp8zUA8cFB9v/z8qAGIgKUKw+W84IWK+UqKm+k9EHiKw9KIqAe+0TiT462aQ9asGoEcUWG2eVIp6JAkSQMTgsa3I/GjsVMH/AoY0uo+McUOS84KM80A/AKD+jsAGZNAU12HiKNAcMI+0KvAm+8jad4aiD+1Q60byB+9CH45OGOH25SKaLWHeG+zeHvBuicHHCZB2KuUa6LA9CAe8iKaK28bUH8leWuHg3IHG3O3S508uIWO+7MO/BuipCvDO+vDcwIkW9Wgi56cUkeWQ6uwAkwIW7amq5gHmm2AfDaD+zqO+zq+kVAKAEO5iHwHyPM2Coq7kKysBD4cmawGBBQayXKugDgDjDOHCGGm2EGzwIcGG1vEkEO+kp6UG/01cRyBiUy7g0QPJC8tvCEagHAlfFCJIIWH4Dwx0l+m2m9CeIW/Q/0AfFi/sVGAO3IHwBiWIGOK+VbF3E2++hkawrk2+ZxBIXykKaYp6XzA6IcJ8ugjsZiIgm6bFAsiUeolIlLG6h9HpHqfxE4fMaglqg7HkkAe3H0SLHukpHzIIJTIC7tIHISgXH5D8abH+gtIW/BIbIcJJIrG9IvIwg9CCsHI5I6JBI1HxJDJFJJIPJNI7JQlPIRJEJDJYozJVIxJiw7JdJebNI/HnJnIdJqyrJvJfJ80hKBJPIhKJJXKNJ5ITKE4HKPJpKSf5JxJhKghdKlJHKoh1KtJzC/F9KrKtKY59KdJ7KwiNK/LIgfK1LBD7LFKXLOgrLTLcg3K1K3F7JBKjLNINJbKVIJLVE7L3H1L7H7IkYGqKd7MDIiaQmwJKoYm6pWJWY6JUAAleK4jKn0mo9ZLihEjKp8obMsJMqEjIH4JGF+nzBRMoXxMstihJLzJlLuJHHSJFMYKbNgtYIUr0jQJGK+A+VSkygOQku/MxNZJtJVHBNi3CtWJGtaYmKXNyI48kJGr4Y2MvMPKOtKm03CoqJSu4IjNwJFN0rsJUr448SJOpJUHGK+wGJgYFNFCeA+mUIVPgLAIkicWOKYQHN0IWJQOEO5MuH6+oH+EjODJ1IFNcJExwUqOwOwx6K+yBA4VGyIyMQ4HiHmnoBwGAIWA4deUoVYV0YiAEB4DAD+VWBgyOJDQDD3OFJ/PMSkpixIAPGSx+IwyCP/GcGQAG0AJ9QoDABwEAIHQyI4WuTOSeSgB4CAVwB+BBCIG+JBGtRRQHIZQKtSEeHgDiHAHGHDEZFVCeA4ASz2EfEkTGGG9EHxQoDw0yKs0TSAB8AwRIR+BgB4UmSsAEIideH80XSdK5LtKqjgM23K3TEOEe3i3YLKGeKc3EHPTE5lTJGKvpTRN0H8B8D+A8B+P26I7kRCJsofTtQFTzJ2f45AS63G5I5M5Q50JqiiKsE+HGIa5e5jO5UXTMD9UdSAKsI8H4DyNXUmM8MEsaIpU5LrU8hdBW+2GO847C505USeIY7OTiHm7VVfTKioA5BnUeNiLPVvVyIMKm3ImpNUhVMyhRWGTi69CeodCcoc+dRuTVAA+mu5WiPjWpVoAAAcAHWwKsxYAOjsIWHnW8hhRTKGe2/8+PABCe+U83GWD+88TYAHBuQ5VgKZWnTSKCo8AeSeDiLIPjMlX0D/X5V+XlDAgrYEJC+RAEtPYO+aD+K+MpAS+nYdWiIxXjYmm6B4DhYxWnE1GYoigvX/Kae3XEMLBdZNBjYQjsAPBtZbRzUZZhYkH8mcIUP3ZtN1N6xBTxWBQIhdCMcDCQLgHO5MtPWRYQIao0KxCqK0K3TNaXPwIGMAN5YxUmKyrrOBarY/K6h1DJCO9CR03PVKM/YQO/Bi5fDlCIHiHxTMD/VmUoIGEYIwD5bdW0IimzX6htXAhpE1D6PtEK3NEREUEOM4HHc7BuMIGGs9TMB8RpYkHwMIA8PiD4sRUkA+3+IijDckh5Z5LDJNEHSpFNFQ6NFWIXFaEOEHFa+kueKEmA70BwMUU0de8IUuRQR+QbBnaMPKKJP/PJcoiBGGuhGMHwxIAHRhYRGAGATCAPGgny9gAIDwAwEAoE0lNKnyTMB4pdBmTWKmSZPpY8YtZBLlGGIUZKKBQUEeufYQVEVMVE+kK4ycH4AYD8AwIkAGLQqOVyECIWEFTQVWPm4NetNXSfItSiW4myXotMyndtLXL+S5hDPCvEovhLL9g+WlhSJTdTMRX9g7I3heWVhiimDxhpcnhbMFMSaPh0XLM9hZhtJLhwWRiGbBFAttbpT1KzLxiPJTiTLbh/h6Z9ImghPLirL5ewfPLni5K9KljFijjJi/H9jDjRMHLhivLZi9jdhOlJMCdxjrjtjvjwdtGDiefLjzj9j/kBj/j3f1brLLjPjji7MBjXiDjbinL1kTHrjLkNJxklLRilU7avjNkpkWaPi0gVkrLfkvatShjHk3kRlLKDk4aLk8gHlBf5lFj5kzknlTlPk1lpkdNblRKLlrlnl3lxOHkhjnlVizjVl5ktkPl/RVmCkjldM1lhkIsGiikfGUZG53lYf7OpmkKQiiO1OyjVkbkw7tm0JDbEJLnGJVMKW2qQj5nBlG/BnPm9nNZ0JUS2u9niJXmufvOpPHnWJMvy2LnqcDmtmLmTKHn5nuJGGCUcJdoCcVoHnbli7suKIgHOSYEOHCHiHeidP8MEKEKYEOE+KULHdWH8TUBhPeTOKwLOlVHCbhMtPYJMp+0YasXWYyTte6JsoiGILmqVKMJkoEUHGNouHi6QVKKmJkTGA+EMsiUGH8SEMoEABgGCTISemYAEuFm/pcZNpgJLplO4bBpqcpMkQkD/apfTiNnC/AMGAAUGBwAHqGAG08MElcpGEIAMSoZmAgTGpEBgsYAOAADwo/qwacatMlPjpjOTppdu+OoGQmxAH5rPp7jciiH4AgD4AQAxreMaAGAEAeEEdeJkqq8AzSTpMkGDRuBgAHs/sAqikvpYzabg7Hq4JJq8iZCPsWJCVGKY7MkzdbrRndG8ijcKR8J3ouHgDs0/AhrnaNeCEAOkAgB8AO79uMBm1jdGsPsHnxppdoJDtrsUJUSlo+XfEHt/ojnezSv6H5uKMaZK7+JBtCswEOKI2ZuKtyMa39dG42D5oftjiW65sTrAJWUoLnTFN7v9fyaCbQii2YB+HxvWHgoqEPMhvhFbvmH9uKycualc6gHwBgN9nZv6HGF5oyVAHmH8D2W0H+EcI/PQ3IHPpCd8HwHcsuIgLkW2nDwGIiXeHgAYLnq855jcJkpkVxweT4pFqOH+AMQrvkMOUvdgTIual+GGQYBhoRpbCOHwHEAZqIVWEAD8DC5eH+EQ9gSyAHDSHMAOmYoGEEP8TOLksaV1PwLm+mJ9x6mXidmhHnyFtLyLMlfHrnyVreKIHByc4YSap7fHymAByrv5yxy0HiAiERTWB8CC66TU4YEGHgCC1cHICEzSBgHxgsB+AQvCDwEQI+AIPJGKK1x3x6HwVsw3yCkCB4AZz6TCWGJkAdyX0GD8Um2gACuaEHElypw/qzCOmqH4MesqMWA/0teE6gMbCuMaDhdSDwD8BwD8P8LkLKI4ZNvD1Zt7TNPByBoLKaJkKYvXwfOzCM2S2fvn17dgoEuasU6gJ92LsItnBYOV2SYjXuLQYFc67UR0EeMaRyLl2uJgKD2sK/C5t0K0QYIVdaK3iwLzn2KWD73TdgMaKEF+G+ty2SAeG/yZvpdgHeGD3nEk4Ouij5VAcUQqR2YiK/V0KUEOHmGeHwHONxBiJ+MAP4BiK4LlZS+2nyoH4epL4liAjZrTG93OD424J2GOmsAfqWJqKJ2bwqMcOfdgvlvY6tvyDw6AjVaz5c7MIp5jwuwLAFAYHwtUDEML55GKH8BHOz6CWwZNrH3B4iDxxNhHbnzykB3OOaOeAG8Uiduk78kQ1j5GTpdheEHBRIAOyWDg70zGjVWGZj5gWuHBUmoYEf7WtUDBBiK2TUP4oeWGLktkMoKyKZzoIEDxaphJ3LLDrWSg/MocicpGEAdeiiVc78KIQkN8ya/PRIEAyXsCT5uzBVBR8x7NUgADUnVWH+E/8+nox4K2HwAEP4n0VX9QK++z9WS/vHdb9g2Np8MAZmAAsiHABiicneZNm4TFyYT5wil+HhRIGAzmSgH9qvteJKKUIA8AG/4I/38P3+4348X4/h8Hw8P3mn3+j3ij3wx34YUO54Y+B8eH8GD+8B+/jw/4QD0e/w+/3xCXHBH4fDxM4LOZ1O55PYK959QaFBXBQ54/j/OQDFX+x3hRJLCILJpzA4I+A+/KS8Zg/oGD6NBGfMKtBIPCYXDR4f4i85fFkO+GG/DGx48/HhKH9a34H5RKoPLZfMXHOJqeHDYcVPaBi8XRcdBqTkcplbG/LLBoRCoZe3/EXjCEe82O+IUY2Hd3jeh4Pz/fpTJz/gpg/2Hhptq8ri8bu6DkMdSN9w6NY38B5zZ85DRxnx++YQh3Gx3i49M4bvCpEPg4P9hKq1tJix9weIZUuJPt76Z1wMXwvZ8ZzY5dyc3ab2foi+IQg2GYZwnCeBxni1R8JEH6Iu+k4frAwbjvKeCasm+ScvXCr3MU+EKvi+idOU/AeBwiKtH+SADnAAZ4ACcZ4LufB4QQB4AJO2J/g5ByYAAB7ynwAESw4n8goJDKww3Ibhw8+y0M6HwBkcH8SkwB54AOfABusM6GH4AwcIOQ5AD+v6EEAY76x8H7yn4AMgSHC75SKo0jyQ3clKGlp/xKfgfqwfiwJ0l6CsSnRhzk5E6H/N74zioc50QyM7LCmNH0pC0kUYoVHUqsNIqNSdN0pRT2UwoNNVAoVOqHT9TzpUT01In1TVYntUqEQNZ0RVziVgntZVwnVaqCQdfyRXTh14o8KWIn1gp9M1lw5YzfWQndfWhZtoU3aTd2pD9lWzYFwWhbbK265Nv3EsV02JcjKXMgtrWXbF12LS7KXjYl53pIN2sjd6zXRdN9X3Ct+sdf7JYJdWFVBgzH3vgNxYHhj04cxWEXxX+J4o4eLLDjGI3BjeON3jyjZBhmR5IymTKHlGFZVlbHZaoWX4JmOZMVmjf4hlOc1bezI4zXGcZ+oedp9m196Loyg6QnulXppmmsZoLg5DbOp6onenp5qN161rdLSHr+BbE+Wup3suJbO+O0vbnuYba9m3pzteRbniurPfrFr7y4m6qJuOb7/ju9w1vt5cK33AyJwel8XkvDyNxN88iyvGn/u+sp6fl6HPoGycfqWoT+nr0ILPCCq4nlAs0nZgAGfkaHgACXkGtc3cnOXK40npAUP06d9UgnWJ31yzp0YEfx32vb9zfnd0b3uiJ6AbMp31CCeIf/jUBeHtH+Z5wD4PgD+MH/oWj6VM+pWdUg/QfhJ17nvJz11aH4tZh/RNuCvsVK+5Vj8H7E6fC/Unr+CeDPL2H8cLrCDv+bRABWMAlTqdIOVwihYyKOgGeRIf4+3UlJIQJ91gz3QOgHuS8eZBR8kEhe+KBo8YIJRD+6B9bomhQWVA/BPIByvGYHircAYPxAB+BAB8rgjAPj4AePx84+A5gDVuj8YYHxHjATEDwMBSRwEIgYWuGhVwDlrKXDlILm2/E8LAldNY+AAjxAAP4AIPwAA+BARYf4iEqJWAGPEeA8gAxzAAHwQYHwPiAJODwICZCXxhD+Ph1g+Iyh+AA9GHTV2fE8IGPAMI+AcSeHgDgPgMAfA8A8AQ0Y/xAiHHAMOTw8UBDgAwTYHgCwPA+IeXsBxLwPFgGe/qSMNQeB8JJGhDkanFEqJ0IB7skh+BxRgPwPA/AfIJiwTM6RHh5ySlgPB8pewfgcD8d6cRL4sPiHwHySLtUxPpD5OWZCGHRtgh+e0A485oj8HCPwOE1CHA/E8D88g/xDjhKcdYOIhx4j4JrA0DBwpzkqLG8udiMAATvB4SmBTepMt8Z8lcnSVyFBxLQHBMY/6Bl2oMPE0tJQH0NK1A0CI/iwUTfEP95ZWqMUao5PNOE9WzUiOSAEcAAKTDjH8HGlJERzpmoZS+f0SqHB/mEAMrxBi1qBJa7GnkxA8O2qAouoTbCBNqqOGM21S6lkqEARE6ZFSLkZn8A+bpWgARmH/RmBpLxgTATzMMsz6Q4Vif/R9xDPqzk5JKmYmYx62UmB8ACgY4yxkWIwRoOE+aHB8AEWuS4wJFmvH+IAJ9OStRjM0Dyk0mI01lbxUQmifFClcHPWwlJraBjzJbQwuJcw4jHruHgPxaySF9r6P4D5YzLh/tUQcHgcHdWIcoz4zB9jTPdH8GOaJfy10DHiRSqJppojjuHA0DhSQH3JoJai51YLp2vh2z4492J+hxI2QsvRzTQXipcPkzl5qHVMLWB4tYj7kh/EPe5Alg6Nn1sPfKTTcsIFmiUOBA5eJJEouKfpPhLzpP8HDJIeNw5hAeIjgirZBzkXNwbau4lHXAQUV7DxTaqQAABHgHCUA+AwmrmMDyVCfD+iDlfLEfFww4VbIhevFYHsWp5AA+fBwfAOTXwjMm2DnCeDASsmzMBq5LWTRIQgRAByBRwobXcPleTXiPEAX6rde8ouziVg6S08oJ3Ud5JsnY8CsnIiA+cpAgQfgBSgnsf8TE/HHIYHOhwfgB3pA+McYFWrSJltRJeYgfwAvJbdjRZOfjdwSaa5mZTljh6maNqjLcazfKra3q6+eFDfCwbnrTCbhDhjB1zqJauNlKtT1823XVINbOXN5sBb2pNlFh2PYnZOzyjbRurtPahQtrZ92xtk9WzFz7O29t/Pj09xbjJ5tvc23d0E63U+3c+7Wx4S2RrzeTVdyqZABvvfm/d/b/4BwHgXA+CcF4NwfhHCeFb+eDlpoXC+IcR4lxPinFeCcNnpvfjW+eN8dXLx7kCr+Q8jW5yTkzB+T8pZPyrljSeW8vbhzDmTCOZbt5pzXcfN+cbZ51zvZ/PefOX6B0FxfQ+iN/6N0dufSelNn6Z01rfT+oNN6l1Nn/VerMy6x1lknW+uMU6919hXYexL77J2VdfZ+0Li7V2tbPbe3LL7h3FX/c+6Kz7t3dU/ee9Kb7531Snf/AKI8F4PcHhmV+F8Rw7xbefFeNrJ5DpfkvJ+U6d5by/mOo+a835zqnnvP+g6v6L0fpOtem9P6jrvqvV+s7B671/sOx+y9n7Ts3tvb+47T7r3fvO2e+9/8Dt/wvh/E7l8b4/yO6/K+X8zvHzvn/Q739L6f1O/fW+v9jwP2vt/c8J977/4PD/iYf+Ten5vI/oqD+r9f7FR/u/T/BY/8uRf0/n/Zaf+P8/64//xdz/z/8ADlEAT8sAhj8Axi8BEA8BRl0BkBsBxnkCDl0CRqECkCsCxtUDEDMDRu0DkDsDxx0EBzUEUEcETx74TmgQAAA5rVhJZWJ8IggnB+5cImh9xZ5Z58AngY51R8IeJQIt5eDfcGQgp8IfAI4igoSFonZ1iAr9ox0FUFhvrUAo4qRb5YZ74+YqZyod4gkG6kcGEHcIgnIX4f4YMH4pgs0IR7JtUI7ckJQnUJggzjgoMKCwJTMGEHJ/wfwBZ48Ggf4cJypPELwnIeEMgncMIlQ9As4AsM51Qf0NSAwgg9AYAY8JEHQgkN4nMOLWT+IxyJpI0PAnUPUUIgpD0IYoJ7kJYnsHB1As510IAgorUU6ZkWgpof8S0Q4owrkTj94ysT5OUUkWJZUKZWggsWYnsVMOEVcMUHMV8NEGsWYqQ9BM0XAnUHAoMXcOYoMX5RsYMGsFwoJD0a8VEJMZcSRJcZx4kWUNcWqDhZ0XQ2r84xaJoc4fgPwl4s6Ewc6fQOYg4nCFo1YHghIwLQBPCbo5CGIrgDwPIpATwP6YIpKS4D4cYXAeaGKF6F4HgrwpAY8h0jqqykxMIZ41YPELgfMHYhSMoPIf4fKSgzAD4p4D63kGUWQihPCD6fQA6F6OkSpSZzwrQT6IwlQ0gT7RQf6mIf4DAeJ8bGRXY3aJoQImogaNyP4QIYAPgICcqS6nSIwPwGCIyXQAAeAD0rYQAPA5C0SnQiAMAPAD4TC5YcAl4ACSgcYBAYCL8riLQGADxFQB4Y5Kcv5KgCK0rSUkhQoYAI7OB8yLgP4YAHAA8l60SRLOAyYrQcUyCM6OoQB8wYAvwAMSstMuMuJKYQBK4eYYzNA5BK6hoBAeKo0pr+4yiJoBCagMImAMKWICARAHgIiXQBApIQQD4AgHwEQD4QyXIDAOADwkgfwBEx4f4Awl4YYB4DwIQGIB4SAR4Z4YIsEsQIYcQBARAIgl84IAgH4EABwAYYIQ4Y4SE9hE4cBW8swEMkhYYQQA4R4QgHiMoIgH4QQDEyAAYD4ASRAAgB4QgqQrQcAMYfAEAgwCAHwBE/YAy9cz4T84MMoB87k9wQAcAYIeYYgIYeBQoeE+geAIAeACEuMeQxSJqYoOIp6QChpGIDiVCXLLE6jFAB4B4D4ByYqYoPhKIHwiIlwloR4Q6X8/AQYY4Z4Y7BYY5ALDAHiXso7FAD8/AR48gY4/1LYY4YbXweYeAeEkg0U/CRB9IDwD86ghCRFHbJqREGqB4fAfCqwPiXQD47wltJoT4R4sAY9JwQ9LhAgeYYIcIcYxNMSWQcBGMXj+s2QfC4qaQf6bohicCU5BItZBgRgP6XoR4H4R0jSYqCItgk65cW4Y9NNLI6QZ4R5QtLweDDAh4vwD5KFHdVgZ46Y6VJwc6g9SahqpgPFNgQ9T0oI1tNJKAl1VIiIB4H8JArTEYhiSKvoh65kSoD7BYR4cYD4YdXQYYfIeZ/gjwhKb1MSakbQnyJova1p1gvEew1tUAP4T4g4TgP4RyLDOSqwlJPIf9ZCnKXwH9LIiwZ4T6x40rEce9WYZ1gEvwltXNhyhlXy7oPApLStZB9KgQD9hVZKggD1eo9EWTDaSKZlPEW1PbSsW4c5NNXQmFcDAEGIhYYaaFfTxgyNdKjYpIeApKaa4tesgVeSG1ewR6IAHgrNII2tfq3o51gMpciYpojVg6RFUYY7SoloYdJw6dbKPQeapVYCEgc9PolS3RBljdVA2Z01kAeYg4mNUo6J8Ujq9oillSuIeFloyEeq4NmVc6BIfAvctomEuQhlngRwHBHanlflgAQIh0yAP01Vw4f4eAsDS4iIT8SspYAAgcHaflSCcyG1qdzIAclElFrVrglCd9r5W59IP6gcVwDjKa9IR6M6wI6yo4H4rgH8uJPjFsjrKYl0f1bJMwAA0gfIqh5dvAhlmbjNR4/IpaOgeAAlwMgVwdwtkRKAR4cAiMzYP5MImNZAAC09yFydyoZ9y4poR4fg6wg4vyqwpqgiLIEd0NgiE1Sa29YAzVr6L91Mh11l1w2ctN2QfF2grgHwANPAQAI9twT13gvxNN34eABF4S694oZ9vNFgsNm17QggQCcF6Feo5qwN7lgAfAB124taL+EAf4A4y4A98KEyD8Lt819CcyqwP4Y99oYNrA6dgl0a3F+wjFPC79sYD69NpTQEaC7I2tWQH4A5M1Jshwgi9cid37DF4Qf4pZMyl2ClmkT1vmEqLyfuDlwYpNUd6of2EYfAtY/lOhKC5Q+mFdZsHYcIZ5QNP401vlzgrQQ99tXV3+HQrlrdiQggD9r6m1/OINIjFKm2IxQYmKrYh+Jlt+J65Qcd39mOKjXwmeLF49vR1uLiSIP4fa8mMAtYX4g9Td6oX4RwHw/OMZBjBYb9VGN4R+OIT8LmOmGOBYZgH+PMHd3+PgcdiGP8hlfVqko+QtjQiAH4b7FMo+Iw3WRglya7BdPeZIitbWSY6Yp14Qe4rgcYfoeNmOTWCoo1my/CBwfgc6aC4tTA1+UtUlewZwHAP6jacorQiIpDBcv18NbNVix9b2W4l16t9sid+A6YxIeYhgPNcwlwY+gItYT9WlNlNNJFT9gGZqngfw5oD+aNt2h5M1bNqmbFugY4fNb1cYOJFucOLUeeLmhK5189MddzFA1tUrK7FNjItaYuelIZBg5FLN8NQIZ4joptQuf4B4TyX99tVuglL9SdMSatfQB9M1T2hwB8oIl1NQR9HVe9/5CQmAPgHke472aUSoligwY4B9YYcYc4c+kTACF6htRWlN5NmuLjNpHQeIcF6CO6yYhAAEsia7OAByyaVCviO4hDKCnVNdyh4AZ7LwppFOf7OJ2yglJd0GXwcApabsuYAFfR4DOFK+hzOI5CRB2wD5HbOIl9kBHzKQHwHFK4B13QT4QFyIA+2dbIcAcYYF4RFdx6OJ2t482D/d5WsApYzAfABi/C4srKOwpKRWwyLKa5H5GYggACeTTUuN8ISAB58dPwgWf60SRSggYIcAGOggeAGNSZNYfgAVfUxCLOJWhy0W0aRI7wQG9+1IP46xNYgyOoANoQQCD00Al4cAB8zu24eADl4SSgsihspQmu4Lko9JQ69dj61sK7S7S4ggp420o5QqVkYwq5ZQTghFnImh0xwXDKZ4nqCDQQqfDUWxx0HAyDX3DZD5P5YdJ8U4yFnPEomBNq5QgxP5T/CD/pJEFo9Mao9MJpptRsTpDnI44nJI4aVZtukb8PIzYQofKQ3ygptrF78Yx3KA4fLY3dbhuYcPD3MAxfMQ33MhcvE5raxfNTZQqhtqJ3K8D0E74HPT33Pj3nPz3XQD3HQT2zwUZPQZIfNx1L4zrHIkZ/PZIfR3Q/QvSIo3Sb2jmgfxhMMgigb6ForIswf4b6nIsYd63iEUFAyorDQE1CIQA8q5FAhAZhJ0jYAYfIQ4QN60bz1TmnAnAgYgAbNQA6vPV4l4ZAHhNhH4AIfPYez/VIylP89YYAYOvAeAE1ogD4QYsAYIPAMB/QPAGAfAC4BlHnOHRHaCp4cZ/ibovI7yLBM1bygAHKaictHnS71zmlPWb7JLDdZqRCx41ZLy/BL1gHXfXgypQoi1mImB1mh9pq4WjC7XglsHZ4yKLQQAAPhdMeQO0wgYZ52o5o1YHIg4Z92PPvN/jA0p2YrjOMsnjyo+9CpXech6RXioxySgl40uBwrgAAT9Ih8WTEgfmcpnmwxwQ9PwfFaBPfnxQIZ9REP4f3kYH6Bnc3SnhAlql6aA2dOB8UXYfwGPqIwPR/QIytgihlbw0ohko9NQmckejHr4f0hmihsLxrmlXAQYcPamlEe1HgA5Qvj6agPif8hlNVU3SAyg/4YIYYYBAAYAhgHmqIQeaSUAPgHHcCF/clN3w5fxFAA/YG38R4B4Qav58R2cR5NaF+2e1HzYxwkzQGs+46k2/wccvCBggbQSF4cCLLCvsg4ccb9DoH37834L+X4j+H4z935D9nQnTEEn5j2X572H6PfH536sE360EH6b1n7Xg/6/737P7HPP8MDn7j1H8r03870n9L0TmkzsLB7yHETEPsUQM57gvclYnn+InikUtLHIgwgAjY7/gkFg0EfMEeMHgj+H7/fx/hkTikVf7AAAOiUTR8HT8WkEhg7gkUTYABg4fgjBgzne8Efbzhkqf7fgrwM8dgz+Hh5ijniz4AA/YADf4AlD4gUVfcIhUTh0QjciqchjEaik6gsfktdikkr0FjEpgiFlsDf7jmVkf80f7BnMHnk+idAitCB9jpD/cFLijjpz/hcMqMRf8PkD8qsgq+Lgtaf6frlhyl8yr/Y74qs0yDntFqmcEt0DyEEfl0hl2ij4f6HZ+ammAtETwFdw2Ii2KrzPw0cg2Ty9esGUY783Ftgmdz9rg000b/0r/08/oOYZ/G2OYiu1ku3kO6ru8x3J3/BynDsLHqMF51ngmgtnP6PTuvVce8D/Z2cM7ki7zEvGirxKy8rzOEy71BwyJ/nOD54n4AaImeeJzpQf5ADmZ7tQYD58wgfiCAAc5HtYhxHnMnrBHefJ3tYfMRsAH71o+1j7ramhADG4qJIjCQfkAP5Pny+8KI+RiJHGhxjh8PJ+AOf5wn+1hPD+iJjj+Z54AehZ/B66TpDmtr1n+3ifNYwUpD/EjpH8AZOSwwcDIs9CvPUHkgn+AIPkAHgBy1CcKoIQA5QjC09GBPpwJVERHmAlQPxPFJ4kCfJBmAH5wBOR5xnwA8tOko0aw0/NBR1RUpU8B5mAOQA+ADIYBnicwBn4AiJAAPwfACHwgD5J9L0cTAPngA5jA8AEtSAfwYUxYYJ07TqCt4IA/0ui9m0aD5wAcAZPB+Z8gTlOcEH5O8ZAQD4CA4AZhgPQELEAOAYn4CCIXRdQBkGB6jxGQN9g+Q8UJ8eAIHyAZBA+YQD02eAhnAQ5/ngMMpLTDRHxxHRg33hpggOZBh3iMB8nEMJ4nIMJ8BBKoCB8HgIB8AgeSeQwPkEB5AEeYJBmIDAYDgB4CRkAQP30cM/CGeBh2kfwDB/hB/mEB9/EfmxggNbofk/oNxIrOiumOeA+D/GQePyB9IGHQDPngfB+DxKuy0hSCBmPEZD4gD4DmdFJ4Dxt4HgeR+FnGcJxnHpR4tY1hz4s2JxmPyEoceYZh8LxJ8nCeB48yfB4SqDwPB4PAfPyh4P8CQ5B8gcZg7bsQPA+f3AEfyBhniePCaW/JHo73m799yBP28T/Ya4r7Lowhwfn4PwPB/i9N7U954bc43medi4HqBuuLtJvW+bcP2AYBTfbGPKJ58U1uLABJ/DGPTbMHiR5w9sccH8wfHN/0zTFA8DgfjpBHume6IccYhx5jBHgP4PgfgfgPH8pB7Sm1OP3d090yIzwHvwA+/AcZkgPreX28YhjXiSvJB8H9EDzhnkqSIZ496Dw8EOMUSpi6DDMIjA+UAR4J29k+HiP4HCSoOvlHmMcwbigAAPfY+5x4jyZDHHmJ8eL9jpOYH4/tB8Kg/ieiGD557pi2ojIXFUiAPA/JqSUgyKA4x+H9N48+HZyAPjjYuOcT8eBPgfjAdGEkJiRDHHAH+FMKwfjHJU2lChn0Hhxhonhs52nuA/MAI4E4nlJRCIcg1GBAxDmDHglIobjT3xPJkhqKkVh8RYi0YoxQjkFR9IexCSgjyFv1OkDxsQj41vwHmOcfkoWlxhKA3iO0lCPmSE+nePzxpAEhOKD9O5rAOPtA+hB6RaR5j8DgUM1gn0tAfWi3URwACjDODHJiIEQjFDmB/J1C6FgAMUTIdBxwx5zHQLaPGJBgBAJDizBUxRQgHAxH/LIf4gR/TmioP4AJA1EB8iWkpToHx5kYHgbg8U5Vf0LAHOUAZKjJSYiXCSEqCIIgcYpNUA4HxgAjmyWqbk3jIgAYuMAE8OaQD/GMHOdRgp2B/ncjBDQgCUDwARPRDUkS0uPnyR1B0/R8AEoA7gfEbg/0EoNCmAZfFjgDioOACJxQBS6onIcQAJ6LEYQg0sP9HGI1fpBSIT4jqJQjpMQWZ5ICBgfE4dIP4HCJNEhecsfiYWKCfYW0R7Y5xHGIGIHNls64AVCne9FBbEQ8VKRvKWRB5Kou4bDVWgVWSIVbTUQ8fADiHy2GDPwfDLQ+ENg6INEcRyCIWTIRGx5prWD/t6vsyQzrZ15JGggtomLAAcdMA9x8iz3zbDiaaLrcntQ5huP+yNk2IyakPDtTZpCCDhfVPVUlTRjwjIGlufo4R+Wkf1K5KsX7UkQANDYeMn2wE8bERCDsEx5tKIvW4RxbqW3AJVcIT4zDwXGIJXsi1fRE2AecN8/Ljxwwwm0acf2FI5AfaU9wD47y+Dxu5AuId35Oj5GeS9TlnLzvvEeS+JEtp+xuDzG6q0WzFC+vpV01uI5bP0iQuWNIv4IyIl8OMfrEa3MXxIN+RA78oKbMkMQiIv8HYPpQB8ZOHhD4XfPhqmUM3l2BTUB8H+IYdNKHAPAPz4IZgfhbB6JESDMXlPxPd+ONbnuGHxjmgL/IuAOx+6bJSm8iIPjQ8+CNjxjjP0Bi8gh4oMQbAeMNi+moPifHAibLZljKzRJYuV2D0HKYZGOYAec2w8Ni1NA+PYg7sO0L4PjOLA2/OycA3dw2ASZDjlCmdLIP57iHKAMMeYhxhxI1boHHSnHOpVB+6F0eaTI3pGfsx85mYAvidi4BgAx3Kj5fSbXS0TDoDHEO/CDe7TJDhgiW642ECKkYD+YChYHwAH5EOAMcAARzjBMAPAOY/KJJV36BwB4gxHlGe4IBjeuG+AANZv0QAByijg4AUYeIwJ6b4nuMBJ/HOSRIHgHEcGgqrD8ABwoHwPgAVcV+zdm4BxhiBMyHAHwD9+77cFxweAAR8AB3QRER/EiL826SXkA4g4qFH3pXnexFCxm1T0IDYwwA4jwAiOcYHBeDh+nmUcT4gBjqWDHdhRxgh8FzMFxZC9LgTjgAmsRYiUgGWmIuSie44GNgH8BygPADuWKcH8rYo8DgBVcKMopRwkAHjgBycUA/PetD+BBS4MY8AZj4VoAPo6au2+QUgo7wHUCF9a1D1UixtdacgTQcZiJMjwJPLeP9pUFiDOeInGYvgf3PD4eXOIh/tCQ++HwsMxDzDjkFN0SwiBiCBuekGJwH6ZzkM5IgDgP5g5t7hImWAzXvpBueO59LLfriKmqIscxcScdQoAJ388rZFkxlp/nH9A37iKiXnjP5P9jaEQCCh8jeiGDgDCDcBPj+wBjzP2CKD9v2oSQBQHiDEHiDB+QECPP8KNQHQLjKwIiGB+K8CLENQAwQiJnNQNLNiKQFC5DcN2QVQIDzB+OpwBwLQVOiwNOyiJwYP6q9QTQaCwwRwYwiQkPoPcCGijE5KMwkjzwoQpQpwqQawqwrwsQsrjwtQuQuwoQjQvQwwxDLwwQxwzQzlxw0Q1Q1wRK8stE5P/Q2Q5QiqTHZLAECiCwQPpiCBAgPDFh8LcCJwcNKiuolh4J5t8CCiBwUQHi1w9QpQyiKwSoGCqwFQ9D1w+w/xAjQiGBnxGCQpzRDlquXxFRPCwwACwi7RHQtRIjVjpL+v7iDRLjEAPw/CDxAQJj2CORPiQAfhwh5qMwJn4ReCQw4pAiCRVwsxWiJjWOERKiDxZjRQORkRcjRRdiugfh4CZIOiGBHxiCQRjJoQxxliGRmxYCCRLCoDEEZDHRNi2CDxvRsRAN1xuxviLRwq+RxkDCJDEBPxzCfCEjIkqx+DahPkNENB3R1iIv/RAiHhfigEGjTB/yAxvMtDEMtCPh3iZQAPsooxcyKx0CCCbENCXiZB9yFh/w3sSCgCEyAkQMmkrDDyQkFv7QkQysigHh8F9kIFFB4AGAwA/pBh/lhEtFOthBzADlCh8BBHnlOw/BAEpCIgMLcBmAHhzAPiUABnsBwFMCJAAyqknCIPQh4lLELiCSOjMC0BzkHhjSvydwmkIgBh8OQBAA/AwSdBASwlJkLh+SgShSuSuBMOfEnB5hjADhxlVh8KkwqSbh4u8EnuiyegGAgCiCHvJBwFPPRBwhyABAAuXSltjSnA/uXvnSpiBhkADhyFjqHHsFHFrAAzUPQEpOiAAh4gAkgRSS0HHxkHqS2zUTZjpTPOiTcFeTMBATZB4gAKFg+TKFrFHBAAPhIADlkABh5hiPRBkE/QfRIEEHcBxhwGlB8S7xXgOAPmaKEhDhwhBh4OCHKhgAYHOg8ALIwDDgPA/AMIVA+AfzTCLhhhwAOAMT7nsOHTzhHnKGkjBHNM3g4AOAfAMCHzdC0RgB+H4BhtaB4iSB8UNT4AMAfAcAPACu0hz0EB4AYA+A8AeAHTzJEhnhDGpNmnWKLnChgBwhwPZQpzGi1ILIZRXj8hPiOoDKpID0a0NHwvvT6g/IHOEUPLcHbL3CeHmo5JEHenKh5iEnEn0m2Fcg/iVFMNgiTh/xgB80Kn0HFB+G2g8UtnYNVhz0rGIuEM4tjFIDoEGt2HHn7sAncHbBhphUcTuiBhzjWIgrNuEGspDjWs/qrrnH8G3FlyzgPGxHYg+H/0mqrB/AOUomLhnVDnaHcEQNWL4s4k1CjgA0viUB8hwUx1O0w1BSJohU1Fvpfo3LugeB/geNq1OJOUghztzH7U9vtTuNRnNs8qgEFVChP1OLYI3AxI6wM1GgQ1HrZnYg8VKG6KrpqA/nsHY1OJ+kQJhVQpmVSVTSJ1Un4M8GKDNIgvvCVHnUwhzpgLuiH1blvLxI6rwyJsAkhnzVgQvzuyuCxt5VjGxBPH2joL8h8Bhy+p3wMhAIZwmtqqJHYgcAOA8LcDMsXrBVtKFkn1OhwJ5h4FFkHieKSn2tgi0B8hyA51zDBp5ydRD11hwHnEIBz2PPhCHFEIu2CpeV7Td1Shjkhs71+QkzGliOrohRX2c2OH5h8DigwId2RAAIZkLNqg8N+h/gchGWK1rS1h/gMB/nnLHuXWOEJixvQOXWRAcKSiH2TDTBzWVRvCFuXTg2Xi2hAHnB4ABuwOXoggfgAE7hOWC1to7HHh+WfWgB4jXwqzGkICdEk2BIuiNoqESWmntEHqpoZuytqjUAY2srcDX2uWvWwMzjkkJi0KHKkW0CC21y0jTKexhiFqkEQjADWAPAAnnBgAJsNIggeAA2/iN3BLwh4AEoj3DjM3FTuvdGIC02jxnFvDk2ljigxtkEHnqIZ0j2qCCgYhERcM80Rh/2MgfsCj124MBEoLyW0CN3VnIjpBnAz3XkoEzh4EopqVcIEBzsBMUA/k73nExWeNyNzWfrn1A3j1hEoUJXmGxVkXn3Ph+EdS1os1Gk7z6rih/gIhkXuDM4B3wGLhjDEW4Dah91r2RYJSZSPDTAngT33tKB8LppqWvnn1ZCCMUVbIux+hx3/DM3iYBWhSbU/rYDBG3WkI9jSBw0hBh4Ho3IZ1b4J0uB/lLXuHbYBk71tBjRuYPkQLyDM4R1R31XTYUX33jEHg4IhA/kFHnQGhz1ZoFpHX94rJOLwmwYdKpYCDKHKn70+U3rNxKBPoN1EUnKrsMkHnEoZnSYJtjYnHWrcLX1As4gfHYHAINRFkJryO3NhYR5D3VtbL/INxPCFthEpJuA+AcGW1M4j5KGwg8Fykg4+t2oNlNjPRtYAokUa46Cwhwhghw0a35g4ESu9hPhDl9hBhBn635H74Hh4BwMzUuz7LmZEXuBgYjh+UAgMAPgHAH5gADl9hgkJ35GI35BgWRAfUVSZRDxuZNhj5tpbuQB8G/AcA8AMZRHnHUs3ko0S52E75fl9tNZgFNzwBgY5THTt1+jKuvW8W8Tg5ekghgF9zpFiPQNhYHh8ABMzF9tqzRiHnK5ngDhzqFupBAAnzn5tEJweOih4ACWRW+0IGIuXjZm550mIgCDpAATPy6gAXbgJhwQeTk3C58aFi+KXFITvhwAEaAChZaivB+AYvlydCIADkzkjtPCHlhPlwSlOAzkHh+H/iHJaSniCNV3uYqigCjBAgPhwhniSSuDBEJywwSh8AeA4wNkfyzmIuIXVBPokEJkpE7h/ADk2h8EogDrHhwHEy9BhnZLBaomIygk1FOGw6AB/TF0/Q5RqwpYeQMFxbLQaRyQkbKQobMinkDXjTGQ57Owk7Pk0EDPebJQ2bSwkbTwdZbP1Vg7WQtbXwnQm7Vw17WwibbEDambRw57g7hCDbN7h7jYe7j7kw1bi7lbmv57mbnbouqbpbqRlbhsmwuya7lSbxbwXidgAAADAbYRXQVkkCSxBi7iQt9uAkLp5h+AMwQGLCCP/QCxuxWLkCDbLDgKF7w7UCS1gDJpBh5xHxOCDxUEviCbTiIH22ahAb3b4ROhvidb6ECbrNR7uwfiDjFbxCvVgDnnDbzj6iCvtcFCHBhthHn8EkhxO0f758NcKwsbub87vQNN8jKcPRFKm8QjU8Z8E71RfEk05mKQ9cWocQNcYQr8ZcR8aPocbCw8cavcdCRRBv3cScfncB/nAin8icJ8XjfcLDiSLDIkzyNIcB9iPimrqEbB/iNyBsOiPkNCZVAiZRtkviBnDSRiCSV0wiEsmkOyJcXCucyB8CX8DibJ6iHcsHectyZDfhHiJI8EFjr75imyTCO7sajiuhjScgDkIG2g4yyy6gw6760rABxlYwSjpScgPhMAfEny5S6S5y+OSt+EL9Tk2w+Cjh+BgBwA/FmKXCJFFBnh5hAFZkH2nKE9ZTjiIgPwmp59EjAdFiLgclOF9opB8BnABhGCVSkEIKHQNgchAiSBgdfGGbtQiQyhiTMui0NTbSoOZgg0fzoLqBxTau8zHhIE+qHB8TcA8TcFfOlp5hAd63C8FzlhAAgAfPNk9iH6F9hhAByTay+nYuLaaoGgfgOCUOXNqcsH4CCBgdqO8n79sABhEF9hyS5TPaZjTgABgTR+FHaO29MoT0+HWy7zHUGA/VqAFo9nTrqBwBwzvKmhwBxhAg8Awh+T4AOJdAcZRgGZDhh4+zvryAYDpOEB4AeAcADAPADGzr7vdImJfhwAwUeOEA8AcT7tGgMnFHPdoDMCdB4khzwC0nMhnhPhBmIBwHW+kAYUzh8A4AGGW0QHeci7gY6sdm3NhNcIGnYPschDFHMncNgojr8nE00M4g/e0IUlSHac7nMkPIVB/ZUgeGytTs1HetIpf3z4gnmNXk7gOT9AckQG2tqOCDMBAOPEhoLHCXEZfvdnNUig+LyA+OYtqgHsCyDckjLhhqq/RMis44XhMIHcmlOJ+coopFNh+JHe0VajWE7pI17tAQDvsyotGtTnnDSD7/VL4rNnFCeA/gHA+BPKDSouFPRfb/cnHjWB57B+7H4iAON8PF+Hh/Dxhvh+D8fH9PB9GD8Pv+KRWLReMRmNRuMuCORxjvhxvw4v4cI+CH4fv8PD9IP8HxV+H+BPFwxSbsd/o+RyUcH8eB98P8eH9HxNPvOdOOav4fwt/weVB4PseWzqks95ueewV/wt8Qc/o4+J6fxR/H9/AABuN/sdAAN/vF8uOQv95sBws9Pzx/wKewdDwo/yuHog/oeP4vGY2KR7HRaQsN+GGTB+CU5wB4/oF/gGZTSBuCV6SdI9wAA4AAcUQD0Oi0d/5ilwJ4ACnzFgDyp1UPAAD7N41quSSvPwH2Gfo4cJ48RN/sC1AAH25jo+KXRxsAAXNkOO+X6RuN/HGiA98zMf5sfoB/57I/H5ZD5SFjvwxyYH5n25z3EAlavtEeJ4OCeAHuwR7uDA1h/h8AChta2TaL+2zcH80AAB4pyrg44DhOIro8KiALlJ2HKyLkf4ALUlbrOwua6kA7p8mYMbwrcc5+PI8weAO9LCkAlpAD+YEAvlJDFvo+Jnnw+78hwA7Mh8AL/D+cDoJmmp+LkfADwSpZ/qG9sRwkiYfni2qRIqAB+AFDYfw6P6KTQ4kdDir0VxMR4cmYPzQTdFq/rfGDtRgfJGCHHB/x0c5/DmogByBB5PPa9boSTTKNSWyLJsqkxhsyn7OE4H5/JjASan+YaKGGxS/HjMR/h+fDWtiicKKYfCbooeCDTgqhjg5ALMRC40RzEgyfkeGJmH+jx4LSp1Buu7K6sUf9ECPRbxvKohwyAHgf0qRyJ1RTV0ItTjHJCwIcHHUSWIcH5fxhLSBn/XhwmOeNYVkHyTKIoykTTCt8IofgcoPDjfQCT7hq3EWEBwsRHgiYkxD+eNpRcndCrqnUxEcA9uHweZ+Dyg66JmopHB+2VsXTmV1saY54JHjY8HjUR/M4T6qXtAd+LfNN+nCfg4YCn9bD+T6Jp5NWN1ofwY4XOIPmeq6dvAcZz6OgkRuUsRPkmYiCY0hdprcR+PnGhKvg9ki+rdLdfnhcJ/gdl4HqrmW/ZoxlQnCfB4IKeFRD9n2+aCmt4L+eJhnGR/CjwP2mNaHyJImQ5hzVwqnpMflgQRoB/84Y6mHBwh8D4r/LIOiRBmDICCVNjoP7aYJ4bgB5n7YtxwwIfA8D4Hh8Dzlg/b0R5DkfkO/XRwDFmD3XBjgfCBn4kwcZ8R++Ine6beAYZwmGR58DgfgcRGHgecwBgfuCYYDp0cCBVqP6ChwOFgAMD4HwDkxfm+UcA4AwvoD4B99TFAfLDEG4MeAfx4Dwdss83DbRwE3H4B53ogy/DgGCPgMA/AYB8ZQywHjyxjiHQQ9B6KSRkADHwAMfiJTjEHSq00uD/1UkDHgXKH6BRHj8AAWtEaD0Rg/NwXIcAD36hjIUd2Iyb0OAgf+IAicTRwATHAGCGgBIExGKcix8kRExACgqakna1hxw/KiB93ogS/DkhoAEtY/GEkzQey4R4wxgQthcpl6RHxmAPOQP417VHtA+AeJ5pp2zZw9HiPgiclB8MvH8XJEqs4ZKzGAqsf8FCdD4ihJkikNAPgcQ4T8D50pQq0BnKQmIDA/kThkU4zzqJEFfA/Gk4LbTkFRIkM8cJfhzAPl3DQfwGT1AHj4OEcBRpAyCmnNVmS0yNlumtNubhjJBzdnARebBGptThnNOCb855wTjIzOWdU75AzpnhNadhGJ3TznwpqeU+YXT1IvPeflATHT7oEumfxFqAUFoUpuhdDaHUPMfRCiVE58UEopRejCSaLUZo5R0jlG6PUhpFSCkVJaM0kpNSmiVKKVUtoXSyl1MZ+UwplTWd9NKbU5nRTqnlEKcU9qA9Cn9QaiT6qLUeedQ6kVLm9Uyp03aUAAqlVOqlVarVXqxVmrVW6uVdq9V+sFYasJznikmsVZ60VprVWutlXqyQuqjW2uVc66V1rbW+oVZq7V7r5X2v1eG/16r9YOwlhaw2AZnYKw1i7GWNsQumuNjbJWTr7Y+F6SLKWZs1XKy1RrMJzHxZu0Vo6u2dmpZ9WgAAHVUACamqZ0aqGrqpaGqYA0Z1StXVQA9tzgCPQfaS4FV7TUarMYW0NuapWtqpbCqdsqp20qlbaqdyKpW7qml+39wbtVSuGkiqIf0m2qtZa4PAABwXONVVU29tbeXUOBbwA4vL3XbtJd0+dxbw3UuUAC8t57Y3qqpdK3FVbrXVvlfS7d9j41RDyMy0J7ap37v7ei9AAL13RvbgS+GB8EXBwUZHBmDjcW8wlebCmAL2XTw1dfDmHb6zTu/DLEctRDqxEG6zEwPxBj8A+tED9U4InJLYqeaIDg8B/koMMc4vEWSfF/fPF1mcP0DuLjI9uNMbY4vPjrHmPsgB/yEAPIgf8jZIA/krJiRR/5Pyji+stmAzgwBwAAmwwxvAcB6OEYGRjujAHjE0PAcxjieyAAFrJbBDg8ByeAcAcxvAAHmIc24eNI4tzbZrKZjaoh+AGNjOmegPZ4fKP7Cag9Aj/0IH7C14DfgD0TosZ4gNHAf0idzSgh9LaXsppmptmNOaeJsMDUOeRh6kxNqZSGqdV6H1doo8Gshva0EPrbSuUNdWM14kqszYTu6g1EM/Pl50CgP0DsKqZNtmav0Zo7W+k9q7X0xjDbaYtu7C2/uEOG49ym/qlujVu6hn6NG9u2/m794a73lZgMI/IZjADznbe+Ex4jn3JoLQm/S97/2cM7QPA9K8F1xtbg9hNskfqjwvhvD87553BxLimgdB7n4zojjfHdb5M5vyLkdf+EnyAAGFJoAxgZHbjjYfyHstiDNmtHfmy7Q5iAfkUD2s9IiPJ/J/XPO7C8lo/WboHDeiJSH+IPo+OelY9Z7l+8PUOpdUeb1cf/WetWD64Ru7+9K1m3AfWC8uA+52L7rQyz/eK1d675irv9hvAkdsVWy0IDzQYXq130AF2fE9056fHy/m6weLIxZHznoas+eIv6D0Xp6qekXV431HqPVEV9N630/r6I2Y9l7L2iz0kpHqfSItPmTI+897R73+bz5fC+HRz4tcPdlrAApj5NF/l15SQqaqX0Po0T+nYH6o/ionB+z9L3NKFTff/D+L4BjsIAGRV+eiX27E/VRn+z932vx+7/nEwBg3yZGgWcIoHwXOI2GeHy+E/4HkTmHyIwB+E+H+Ge/qIs/gsg/wAA/oHA/2/6H+/+TFAEI1AJAMH/AQWzAXAbAfAgLQ/u/kOAH2UYH+/4YQIoL4IoH2HmI2QDAIIw/5BrBGIvAZAdBPBQ/SMawgAPBYHPBcJlBjAaH/BpBtBjAUIvB0IpCgItB9BNBPAksu+ORnCLBbBeK/CVBmH5CcLxCOIuHOHPBNCoIrCtCAKjBS+O+9CYUYH4G8/BDGHwAYWwH24YgAE+BgDCHgByhYIoK2B46nBNDQGcDMB+taHmkcToE+EGGQ/BAhCys9DjBnDpDtBhDzD3D6APD/EDEGVRENEQIpEVEZEdEgVnElEpCBEutPEyG/BYHAB4GzBYK+AOHOGZCXD4HOHYHyE+BmE8DeGQDyQCK2BmHMDnESHOGcDCGZGFGIrIAAA8D4GTFzEtDgPi/LFoWfFvFyH5F3F7DFGBGnGLGPGSHPGXGbFRGfGjHRGrGvGzFhG4+DDlCMH4GwRVDHF5F8H5GAH/GGE8DAATAKIoH7D+AMDZDUE2B8DPGlGGDMrIXGABHrCxHu/VHzDpH5BhH/HMHZIHGJINIQH/IUBhIZIdIhIkBnIoTo0JIxG3CEMY/KBPH0GzCTJBCZIDJFIIDeHzJNIUBmH9IbCnIfIjGnJeVmkdJk/rFiuI+6H/JvDpJzI/HLJ5IFJ/KCQDKHKLJXKTInIrKbG1KfI1CG+8HzJxHEUZKxBpHOE9GIDeGTJMLSBmHOE+QCH8D4H9LCB5CoXHGxLK/dKgu8+aWzLXKvF8K3GDLjGLLpL0D/LvLyLRL5L9MAE9MFHtJoMWVMe0D3E3DuRKAZDNACkoAOHDGIDgByHzBMLSKDMoKjMsGetaH5MBFdErLNM4I+/LDmoVDXN0+NG7I5N/DdMKvu+7AfMGn5OBMJLPJqH9OUoXOa/POOwXMPN9DcoVOsxBOxOXO0nzO4yo+6ujPBO3OfM6+c/bPMn5PE0093PYobPc16+PPioXPm20+rPtPPN2I4+RP2nnPw5NPhQAoDQE67P1QLPbPRN5QVQXP7DJQdQDQZP9QknxQO7tQIegiItqonQ5PKoxQw8FPqhdQ+LZQ8wCozRE8ZQTQ2o5DGpDRW8/Q0b9RgoxRso7Rk9LRoZlRwopR9RVQpQiIqNvPWMjSANInyO4VQO4AAADSAMeUxADPvSEI0+RSKSTSRP+nNSWIpSbSeU3SlA7QfOE+Ci0/ARmDA7s+eLQqmJjRgVYjfTjS8qlS5RPB+Wy4YqmUxTZAAO6JkAePgnhR09W+rTOIpTTTWOg+cOpDAlBTkItSbTsRVDVT0+uTZSlT+YRUDQvSqIyPWVoOC+dTUV6+hAbCW+8TnAfDGHGKDDfB2VaHCd2MaHuItAfTGI2PuBgIoGcLYPTCpCWx4IugoJkGeEzU7QhSsNIS8KiqlVIlDVNIGLQH/VVDBVaImLTVgVXVkMdVqIrVuXYhJV5V9NsIrWC+xWIYRWNWRTK/VWWOCtodbBjDMIpAarI+8QZVWH+E4B7COHyHmH7VsaOMcViIqJ1VwI0PuKKH/V6ABV+RmaaYQsAKhU3UEnfUI9g93Xe3pUcVmhnCDXuH/XzDBX4HMWyHBYDW/YGMagiIqGCJhXCRZYYA+AYeQHyRmA/CXVmIuXOHwAFZlUHU9AXY2tDY6VoRU9/ZDZHDHZLZPZTBjZWMZZaIpZfYQIyPvZkGdZpZtZxZ0IzZ7Z+9yMZYw9q+OI8l2jVRsJXRgLTHHWnWrDGHezyB/X/aeJwMiHgUwOlasIxawTna0ABZs0kEPa8IwXOH2AEDBbEMXbI91UM/NbTDZUdba/BVTB/bjbnbqIuV5ZZb0zBZjb+x/cEHhcIV7a+IrcRcVQnWTU+HAe0ODciIot+InAVXKKjZEDBX1bkHPbpJPc3bxEqGAjgXYQFZncDNs0kHDCXT7SINAMeqlS2m7ca/JddbQO7RtdnBHdtXxdzDBd3d7bsXzeAIreFb4IuJ0JneNdHeUIpeYV7ecgsNxdXXbCHYGMUHNeuIqBzFQlDV9WnIpVWH8AmUYVMD/W0XyEYBDZZfgGAgDeJfTa0hOHy0kADCWlcIsS4IqEIAYDBfMnpaFB7fsH/fxY7f3BbSLCg+9gAK/gFgJWzc3gTgXfJgcZreLgjdHgrS9Ym/bg3g7fm+Y+qaOB+MUHCPdRthNCPDVWmDBe7Nsm0VMA/ZeIsHCF/OoIyHhgZhoMZfRdDglgpZ0LWLlSWXPh7g8mrem93iFiJiNf1f5iVdviZVWLqToH9ijc3irhlS9i0MXi5Zni9ixjBRPjHg1g5jMmnjRiCIXfvfyIoBvXrTxhTWpcvX/duWeBgrxc5aleDeHhrgggVcEXzCWWyKTB+HeIsEIABh9aDdZAWHPbzCPiLY7kdWlETiWABgCTnDkl5injxalc9kMLfhtk/eRlCIrLxBrAflMIqEBZ/mAn7hBCrlcA/lhjZkbkflrjhlvhZlyJk+hipisIxbzfJc/k7i7lBfZFRlJmSItmZUblXfpJrCOG/COugIqVRWrBbdvbhWll0l2Irm/ZYrfargfnNmJnQWe1plKIsEwB+mPh++o+PnlnoteIpnvTxDNctX1Abn7NzoBaloFZhnLj9nPlESxmQH/mUIpoZodnfiBojBdonTvpDnxoxZFm1DHAbDXYtkyMXYKIpYPoJYYqlpJmMLxAdSmIrpXmcehkRpfnm7w/botmxXxpvWlp1imMjp9mDmBj7YbqJf5mRqRpVobqWb9qbG7COGPCO+dEropW9VRkld1B4MfXuADl6MXW9BjpDi3htqHoNlFCPmQHzpSH+QAiboe+5pfrVWaQ/fbTqH/rfbfcvpRrmWfrrruI/rzB/q5r7ePgnmLrBAdsHnYPXrKmvmhckIvZwI0tpXvTdDBBrXpsqH/hinBSbnxV/iJsBqNAJlEoFrO+DnDfgPlDHH8IvCvCCm7tuuZSfs/oONTjFaAoLuA/VuEUzuLnzW+nFcXUiu5uZr+9hkFult/tQToI0mDuJDBtlUeIrjqnzUtfc/tlZB7vPtNuxvXTmLQ+wnVvhv2ohupCHSGMdShr1Aju4MXwIopwBJrwEMbwTuRDfve99vKVmkDwSodwu/fwpejSzRfwnvnCrQtsQ/jRJxEnVwXM7xNYvw3xVxPxZxanNxQI+Bg9u9bwpxpxq9nxAIqBmnhbWB/vXPZxkI5x6nfx/yDPNyGI2Bmtcq4Imq/QqIXyRPByUI1yYq9yeq9yjyBQLyqIzLuMbCPw5xDSsK/y5QBy8IxzAMZzFwDzLyly7wpzWMXAVzHu1zfzPP3zSIvzmI+LTztEKI2Ibyk8lxyrvx2Ipz6I5z+MbgOIt0HyB0L0MrXzlymIyF/0Bd8I0B8gVyB0dyp0qMd0wMbfD0f06HP0/O1z2ItzBaBvyLnW/aOreQCHsrfCyB8APyl1TON1D1cIvp8Gf1ltT1rvast1x11zR1CKoVb1+IqHmJWB/1nuTkeIySp2Rz12UOh1fp92eVn2lwjXN03Sf092T0QH/zA1DUCGGAw8qt2BiEPev2gAOE4GCEOAGECHgHsDwSPymQeD53J2x3N1aDwGEAwCABwDGAeHCEGHgWHvMB+DyE4GcDyB4kcBsDOItit2t4BPt1Xx5COv54L4P4T4X4aQD2h4j4n4qD/4v4z3F2v472UAx5ElIAcACcmD/UoVn5T4oE8DgBsWRWn2r1z45Pj490TCOA95n4N5r5ugj514h4l575/6DkqIx2P6LyF5l5F4QAYDCcmx6IpVr6j5VGKBsMLzIIv055h6N634N676/bzVn7H554qDf7O95P/7X6zyT16D53UAwDH5sJQEIRVzqDyHB4mAH58BtWfwL7Ufz751B4F5B7+ED3X8F5uHj8LCn538SDz8X5/8dTx8h7Z618oMjO50/yP13M3ngMX0Vz8w/9XzN1R3L9eI/9iI/t8I/Sh9Z9vpcPj90I50tU/AX9r9bIz9QMj+L+Pvp9N773Nxwsn8l1Vxusz+r154Enx+h8n9xyJ+5+z9d+CMjyKnh+7+t+2nn/R+1+/yX/D9t4D/dyt+Mm7/Z/Hoh+F/qm5/v+V/mIA/4FA3+M4JAx/B4VC4ZDX+/B+53nDopFYtF4xGY1A38f43FXBH4LC4TIoxEIlJpVK5ZJo7LYPIY/BoUAYhBAfB0PAn8AIE94zKInMKJRaNL6NMo3NIPNpLApzBJ2/57P6DEaHRq1W4/SKLSo1TII+ZvDam/h5HmPV5TXLdb4pXqJYIzYoHZKfC7PaX/a5PWLhgcFHI9SZFdoFZBihh+CAODwC8AegH+hgg+D8Pw8AwC4LzDqFg9Fb7lMLpGMQ/8VjMdkMllMtmM1nM9F9Do9xR8LX8PC7IMDAPwC4wYeCGxg4P0CgNkGXgx0PUYrt9z1ZZpZbp4vBmAHjIzcS/Bi4UYMeIf2GxgO/0P5X8Pw+gOh0op1Ot967u7nve73/C8byvO9L1vaGL3vi+bbMA/EGI07CWO0izUsU8jzAYP5gAOykCveDwIGOQD6NBBcGxKisHpXCKKwm8UKvPDMNvczUPxDBS2xNHCGRQlUVIpFkAQs9B/nwH8OB+DA4Ogv8bxzJrCK1HqHR/F0LmHIcixlJElRsrMnSdHaTSihspmAeLiOM5DlEeA60DxJLooqAE5RJL0mzAkUxIZMkzOK47kkDNc2zfESFzkAE6TrHE7o/PKFzIfDHsiybKg/NgAJ6eLaovRFExLRaN0ahUJovQiM05TsGU+jVQoPUaLVKjFT1Q+9VIzViCVcih4M+jVZVm6taoxW6B1yh1dpVX1ftxYKL2GgVirdZNlNFZiLWckaFHywVpWmwVqpA3qOAAGAA23Jlu2A/TTXCnlx3KwNuXQ0l1Ozdjc3jeSuW+ilrtSwd8XyrV9odfqFGff9z4CweBobgrrYBhSiYYhmHOriGIpbiaF4qgeDoHLqjYvjCV40hWOIFjyBZAouRZGl16QheyF5WomW5c/MoZkhWaJhm2bwdmEU51lJ/skfDJj4A7PH8AZ/A+f5wo/n2foxkqY6GgmjaRpQf6Zp2oalhOqN1nKZoqZ5xmGDwYHi6J8DgfGnkDsOebGmGrIJk6F7RtW2bduG5bpuy3bwge9aIf+D77toH7eeGn3fXuxcHjOgx5nWDH/xe/ntp4w8FymBctMPMIPxW18Zt/On/z6N6n0MddHPGdGGEwyY9g4H9Rv+v6j13J9hl+yqWhXa9vlB/91v3Gjh3vQeDu/ZUZ0qCGeiHd+Z53f7r6CN8KgW9YN6/l7f7XJe57qM++f/D9MfB/92BkkH8DwH998/08r4aw8z6v3vxfm/V+6pngP5aq9JUD1GOjjfg+R5rT4BqxgLAYiz632vVHAAMQDSWltNgg8+CjODDNmdM6aDMG2uNeg+9uELwoRvEIo4hmsE4WkNgtAp5BW3XwGhvCR6sJYdQ0hqQuHsMIfxHK1Dt/MRX+QxK5Ep9MTC6tnifEKIZB4pGof6PBOSsCWRQe7Fk7cW4uxVfRFchUYkJH3jA9CNSK3+rwitGgnkCFVtYXNGeOiT4XxNYtHOOkb0fRskBGiQSUo4j/j0SKNrwZDpjkTIuEEeyHSPT0RSSULJKInjsraHEmX8SbLjJ1YUeCBGSH4A8cAfwDpEH+IMl7c5NSihtKRZsOHEj7HmJ8Xg+RzjPH8HwfBHg/S2H/I12EllHNnl1LyX0wJhTEmNMh0MylRSJcTIqZ0v5gj2I8tWajlJrKtmwweXcvZuB8m8VSachYrzjVxFSc8z5gkvnBO6Ic8FiTym3NCe07ZQTvmMuCHxA3jO4cTP2epHltSzlpESga/HaO2oQM+hQfCX0NlDQ+iD+4pxOotOgZgHqMB+AfRqAlAZ80RYJLhg9IZfUjpLSeSdHI+G8oLDljsx6LkvHPTWm07KPRahiPwf9PSPCfqBTafSz2z1GqRUepdHKmrYiQygfAA5VytITLAjwAKAVBjTSxhspqsValZK6rw/6wUOrFUKPtHyHQyZ7PiGtVV/VXZZXaFteJyxmreQSv0QKdxBpVXesjFKXWAsDHWocY4gRcABF4lc4XB2DiPZKyiyK+QhswvezsFLPm4ss3a0c2Y82NsdXGolelo2hh5YljcuLX2Hr7bJk1tLGWNtO0S2xFbStjt6QS35FLgtUtOQe4pDrjs/uGQOVEqq01dljVOh9z5TgPlTVutV1a3ViuS6aZs6JoTDH/MW79QbwvVvHPSaN56w2quw8iec6Z1z3uXEu3DV6c2op3fWaF97428v23mxeAKF1wpTarBR+7+uZwRRib+A7A2noO8imE6SXwRU3bC/Vj41kHwvNnDM/iPYcItc1m966d4ZpkP6k1+MGXzmyD+qOMr5YFcNWbGuN8KVvxYyiqF5ME3oo3hXHT4KXZDvcS/I2C8c4gjhYSs93LqEellkfIGSX2Y8GfVnK0r7vZavBlx8OVK935ijmaxdhsZ5sv64iuhLcVMuyDf5kK5xAKGz5n3P2f9AaB0FoPQmhdDZ8zhEYhuc4v560Po/SGkdJaTrbayyFmYy5uIJUqpmiY/WFs1bsgWnKqaerlaBkGpLr6mtbqgg+qpaY0trq+9WrNL2FjlqnWuUpBsPXPrCUWd9Z6b13pbENV81Ek1/sWnGimZ7DIHsCTeQdkkKURtKSl87o5hrXSiCWutO68kRlTbd08xUMkntiPedxn3tnTebFFwNl7h2NlOue7ry4n3TszB2zs8TZwjOveNxt56l3FJDNE5qL8C33vTZunyGcKyJhIf4meG8G3rr0gmI6X1R4tW7dUgdbbHoNRTDHHuL6r4PJekE28X0mDzynWPI97aLoTSKkmMAH8x5BvxdecYS424mS/SuUNo8+Xr0CH/Qsm1fx/yGQ3NONaLyZhrdHPeHb94g3vquJjVcy2D1Lcdesv1oq5ufr/WOMcP1PTrKu5tu9g2n2LhFc9RVS6zz/f2cu79QoFyuZfCe+9IZjg/NEM9wdr6121vfg+89J73KfTMSeC8q4z2PUHk88+J8t2zVtpPK8z8BNfX3nPReX7rrguG1/CNC6VrnWnj/C7+NF6z2XrvIsf2hqP1rl/XyK933jxXeut3K+D36lfo5yEO2qQf23w/IdbaJuXs9axAdP966T3/1Luke+v2rzvi/Pt73xMG83yNreh7D8qeMMfy3v/R879Xc/2T78FwEj1A/n/h+J4zCCqJyLoz3gghGsAYlYeAjw9YYBoop4QZsAgYqZVLujljuzCIl8ALb72IgcAr4QlUBAf8BUBggcByAcCI/DCzkzEiqLJ8DLYgggd4eLo4lgB4T4fkGItId5jwfwDjiogYfqn5BsFB48FToaaT8Af8GEGQlcGkGwf8HEHUHjj4f8H5T0CbwLuzFznLGL7EF5bQAYf4R4qhXgjQiQfIfwf4P4T8HQP4z8IECT+qpzlrnCmbHEJQgQd8L0MEMQlcMsM8NMNcNsKsOCqz1THsIrBrDr0wd4fwPCo0MIcJKwlUPsNAT4oCdkQMIMKz0jsinkQ8OsA0O8RkRxqESIk0ScNMSwjsTEN71ECjqio8Q8FkRMDUUIP6qCo6owlQT4icM6o8SwgUVcE8TT5aubrrIsLggcRcWyqUGolcXYqjUcX6Y4g8N0YUQYxDOTMDuDMcAUDsJAjsW8ZolQD8XkaKrMYB8EL8apWkYb9ruzTUO0b8RsZglao0csXyOsYMdka6KkeEUEeUcMer4EXsSsfMakQUVsK8QrRiyr0MPAskeglQiYecM0SkQEg8TMfjwUf0b0h8gMiSRUisP8gwgkdY6zdjx0ZIeIfIeCqQc8XIkQZ8l5bQH4P8HMkggckxdMjUd7ykRUlclqpUl4lUmQfkmkm0i8kshDzzW6HLUMjjWBEJo4D4cBxsL4kwAAA4fg9YnxTQf4ykAofhQ8jMhMTbzKyclIgUqQB8qkqwlUrMrath9gp8sAqMsUMZZcdr+yP70z9cssYkQr477J2b34t7/b08pjkj0Evr+kv8dzV0Fz6D2b6S4kwT273z3JlUy0yT3D4systMxD8Uppnczb/j6Lxj6a7S6T6sbkFseMv0xLmrtz7jK4f7LMbr+Kz0vUOLe7CK80WTFL+bbM3cQjtzgDhb/LuU4cnkhabTiadb/U4Tdc4ivK/6qJ1rLU3K0U6ifkQ87E3EwZ6a/rjjm7pp+EZE00ybxk8jErBID09E0L/r8ZzMLKmc4DeUxk5cx0vbm0+rnU+7gk/M6c5k4xg7pjqy+EI82E0UxTrkWE81AC5k6TkVAlB0Fc+FBc+U0cbLsz7s205VAc/c3khcbU1jLFEFClEU4rxsqE8KBLwy1yutAVFM2LqdAs0FDM078bvlFsy77T2jw9GUWk+NHU0abDxFIdHM9VHbyUtFHszkzEzy1MyM9Mzr/xhFGbqNCshjNNJMxtGrzE400tIlJdI1LFL0/VMD1MxdNFENNUVztz5ogkw9JVK1Jj3VHFL9Bk2U0lPNNNPdG1PtJ9KtKM1BrM1TbjolDFPVDVBpgz968zb0WdKlMlO1My9k3zq87NFyO8wriS9yddSU4NLLv9FUbCEr/DtNTdH0wlICH8Cwj0nU/FNtGlQFMLxtWAf9WVANWlLVUx4sFLjsQ9XdCVUj5NX7EVYM8tBFYghtOlRlItRyEs/yk1ZohlZ9P9RtPjvlA7r07UYFCdX1N8hVG9brBNb6Y9cNUtccsziMYzildFbAhtSVUQjId4hVWQfhp4hUmAhgb6EVdkwFd1B9BFeNdQg9eglde8jFflfYg9fohdf5707jhNEtD1gz00Dg3xbI0DoohdhcpTZ4hdiAhQbw3dhyUdLZ91Ds2tjFIdjVjlhFjp0dkEnIhhnlkgg9kwgdlCStiknrzdIcJIooB8Ew6tnaRViSTlCtI9IVSloYolopBlpAedpVlNZETlQcJEPIcCYABgh4kofy7Q3dfUB9mQizgYgUUoha8whdpAf9q1n1lVGLOkh1rlr1sAnlsYgdsrFFeohVtJzQh1ttko3duKWtplINusRTGAfkNJ+weAfwOYZ5bQYIedxzr4YYcIeAHxeklgeItAP4cZpQYCkwfgAIB4YBpo9Y9QAE7AAAD4YAY4fAGFfYkIcAnwxgAACYgUsQ6Vw52Nucp8n1oQfzmIj0osPRbUoYxJxIsg7AfMe8So97aIrKn4rDb1yh5KiAZ4Tw3dt94CjtrEs6zYk0w8Rd45xMocMN5cmBbVygfl6F6Qe96jUd61dMih0xbRUojt7t79wwi7YU0F9ESjvCpV9ou6Y7BNhAYbGD3kXt+0nKoyXTbwX8VVtgP6YF/4gd8KsdxNKceOAkNOAzr95jr5rrimBmByqWCCo962Cd/IgmC0NmDGDQgd8GANn8wOAd4y7LVSht92BWFIsZjzSuFr4AgUoeCgg+GcMa8wr2HCCuHVMWHjngyWH93uBOFF6GIowuI+F4f+JeGWC4hWJ+DYgWDqLGKY0d84fJbV/tmWE0mmBeIjaKpWFsZ+JOGGCuMls4pF32DmHOD72Fp+NydhxGBF5uLdzxlIT+O7TeMGMQgeJtjauGQGNGQV8dONMcGGN4D95N5oc9yLdF+A7AiWB2R1+jTYYaht68Mt/UaawQP6f6m+NOWWQeJFrREInoPyyarIfBS6yaDInoP8rIeAA4YAHFlEsQD90+YkquYZQ8qQAcu4YAD4zowt2GY+YBwxponwQAH4T0Hi1aLiBDalMeXYAGXsq2YAnqVWb2YoA+Y+ZOZd2GZysGaGbwH+aeaua6VYgWbSVon0dIqucGcSPmcuKVua7K7cbdE9BSy6YzbVRGh1D+iC02iWNdR9TNBNVdKFH9KRjtSEI2j1QmkFQ1V85Gjs8Ajdjwll05L+NbvlVNCNZ1g4hWl0esDEpdW1NdXFC+i9N2ntOGn8WNRdbNaNPk9iqM2810f9OtQs+dabl0LQB+mta+m62+XEIimOquq7ZVYyxGrdA2oGktSuqNS6ndczimr79OsOrWTVC2o2oNWtbVQJ8Vgjr2tr+Wt83Wsdi02uptSc19aFMtaR/1ljtGwVUdXtdeodclFl4lSmqGk+qVujRuvs7esdP2oWu1W9ptxextY9gMx7iOzmuupOu9Jt8qRmrOv2uK6DzVLuyewtS2w+QmwmpGw1Pj2u12zW2FM+2m3W223m4O3Ozu1Oz+42p+2utG271e3y2OrdMeylVukO6GzO6W4GEG5m4e524u7kb26s8VV23G7u5G3e1W8NdDNe6e09cWx9duNm6LD+7e828W5uyutO7G0WsW+2/m4W9G4m9W++9iMOjW5e/G72/W58w2+m9u//B27O+u0k/lNnAO1G9O5W9dTiT1GHAvDqUvD/AG4/DPAfDfEFVm8m6/CW/uuHCtEfC/Eu+Gz2n23vCfCHGFFfG/F21/HU6vEm8/E27/AnIPBXAXInFHI3AyN3BHDkAmnMt4AIYAfAD2YJNkvBE2AWXXKMrHKfKvK9+pOvLeyUeIT9zoooHgPIeaYY+AR4e4cPLOnnGuonHlSnM4wpXfMQk0oyngf4oHOUsnH6Qj03PCU5rvQIi3PrG3P+WPMfJ3FLaIHzmJ+oZ8SGl/QFOZTvMloPO/SZ+AB/S1tYkQfnTIhHTfSHJbaxbUVEcQlYG6ngd4hPRMa3CO6gH/VkSvVwlXWDG3WXRxL3Tm2c15rqqAe/XYkwnI+A2vWkffW1HHYsX3ZAkXZUqnWfVG91rUacXPY4mFA0dHZsk/VPFuyYhIg3XXb3YHcMnfZ/bXc3aXdIvPdY3PYVJHctwQT4Y+E0ondXbHdvMup4hJK3fPfYk3b/U5RPetp0eOY6bOacD2ZoAJr0rN3Hf3Qb0tIfhpg/h4kxx+Z2bxpWgfR/bPgHBXeeiPknTu3Pk+jHlPYe7vli4Xce6kdHGm5PG3BLaRo8c+0e+NgW+fHHA/l3e3Gex3OmyHO3ovnvo++XpPIXm3DXnHJ+j+61K/qek3quy3SPrHFfq3res/Bm8Hr+8dF+8vVXFXsvFnmnBfrO/fcnpW/3i8vnHu3/uUyHuHF/n20voHum7Xu3GXp/o3m/OvnPEKW/Eft/wPpfwfpHwvtFTvs3xPI/IfsPIvyXJiR3me9/wXqPwnq/sHtvBvtfJHyvJXy/wxay3XbW/P0PsXs/qnrvrX1/rntPr32f0H2Pt30fyn1vy33fqHE/qXsf1n3P0Xzfxfzvxvz/snyHtX4/uPvXC3vnDH4HJP4X2/5nD3yP3/zn4Pz34ftn4v130/x/7X531f8P2v2X8n2H9X3X5/vPpnn/p3yf6v0v6/9n2n5v23/P3H9wgD/gUDgkDGcFhEJhULhg/c7zgqfhkTikVi0XjEWfx/jMVcEdgUHkEjgsOiEEiUklUrlkajktgkfkEimEZk0Rms5nUkjc7mUdmk7ik3lFCo1Hhc9nU/jNBpEJokDlNPqlGpU5pkYp1VgdRgVTgTgH8MsEwcb/fEEQNoD9chVXmtZi9bt1ef9lsVkndntMDtb4ttuhFwmFyi10rl2sr8Z96nL+Ob/T0Dfwef7nQ+CwcvrEjxFVxUFxmOmuQyWUy2YzUFwktw0Vz9U0ME0Y8P7wglnsstiD+yh/H7fc+rgmtlmvimxp+zge12+5u873u/4PD4kC40r5ET5VI5kCebPcLDT6fB6Heb4DnRnXT7HA4XX98+z3y77/8Pj8vn9Pr3aWPcf6Nuq+UBM4uL6uu+55nufJnk8P57oefJ/h+/6VwCgTgwLAz6Jm+yHpwgkGH/B8IwnCsLpVDMKm/DjspU7aGO6o8FnvEsIQkecKQs6UBJLF0CxgkkZIXGijPucAAxKiUdR5FSSQDAcgvlIaRyKhUjqFJMlmfJsUR69sfvfDchQOwsEuI+53wpE0nRTHzfTI+MqzO100tXNc2xzMEoJHKT4Os68rJBLCEy0nb7n/PYPmPPs4q/AZz0E4lCI7QyEUQnVFUZR0dzhMU5E/SVKNXSyM0wgtNJy75/AGeA8mGQ5AB+fAYHAPgHnAB7HgAB5AAGf5Hn+QB/nAwNBzs488M1VtX1jWda1vXNd17X9g2HYtjzNDygRAk6pQ5cSGVOjFUoJVaa0Vcd2XKi9zoNb8RXZej5qXZjBXXetuXvD8FRCot93pdyLXgkN5YDgVx4Ij18LrgFw4VhdlO1hzE4gr+JYnbqm4RiONX4zt/TVjD2ZBOuOK1j2M5PlF+29f9wZZltK4pGOLNBks/Zoo+GIpgx/3SmF9Z4p+fInoGhJbomi57m0iZw2WdaazWjoZpOV5Nqiq6shesZjeetqprqFa/kmZa1sSkbIhOzTzqe1bHp8r6i5e4bjte50LurvbvvCrb1S++Rrv2/p3tiEbdZvC8Mx/A1RwckcZxqYcQgvFXzyfKJZyyY8jLfNc2lXOoHzGH7RnfRIz0iw8/RPQ9UkHWWN11N9h2PV8fc3a1Z2/cIv2fTYv1Hfpb4PeXV33iop4+R7f4nl9H3V3+RofleipPp4L6ul+v7CE+bmGz7D76MfDjuwYT8vze1hvncX6H1/ZlK56z1P5OL9uf+4lmmfwZt+hh2siAABAWA0B4EQJgVAuBkDYHQPghBEAD+mkP8JWXaAkEoNQbg5B2D0FGrwWJUXZ/782XvofHCV2UIGvQiJJCSFRFXzsqfTDGEzInxPPhs7mAJsGsw7InDN+sNYgPMhY2WFxI4YRFfBEdtsSSQRLiYayJziYoEdilFM38PTkw/i1FSLh3IvRfi3CeGkKYyRNjCQyD0bY3RvjhHGOUVXLkjjlHePEeY9Rtjo56NMf4/SAkA0CQT5ZCSFexIeRDy5FSLd/I2RzsZISRdFJOSjlJLSXcNJmTTeJOSdbVJ+UDW5RSjabKWUzPJUSpZbKuVjIJXSvYlLGWTApaS1XrLeXC7JdS7XFKJUrTTGyLaBAQHBxSxj/EG8w2xAy+kIQoQyZo/A/j+mShUgswR/zUIIAcgoxx/lnIEMAAI/gAAfHwr6bYP5rEjm4Qw4bMpnmrmKACY5lJkiDT8P6ZpAp5kDHzNEhc05qzXmuQKbU7yBTeIGOecE4h/jAAAH5X06VeD+A/QojM1EYTxIGP2f5gpCTomQhpZBb5+loISPGgRCqCTtQ1NkhNCqYECGPQ8gYxx+A+B8AeeYD6NEYmpUEglHiBD5pCW6kc86YA/pO+Cg9SaWETm5Ryg1MiEU0oPTeb5lQfjjnmI+pJFqhs2qMousZVal0lmtU8wdUaV0tpmRyqxXasGiM5RqrhBBj1eHjPMQ48SSVlIXWepB8qlo3RvNYe9bUDE9IkSkZxY0XDvLTMMf4vx/0sRudagSFJqDnH4HOxhAgeTboKdYX5jTGjcI4O+1Fgh9j/puRJOU4APK1nmMOwU4KAEbH4SWbBEhOB/mpYIf4/UOkOE+RAsdSLFT0JJOgYKxEBA/EAPgAk3hMToAeOYA6rkBAGB4HwAY8RAj4H8AEcY/gcTeGADktaS6Im2GOMAH5tgAD8CBNZYo/wQA/WOPAB45x4jGAeAO9Y8RCB/A8AAf+BBAB+DAP8AAxgDjjWrbi3Rub2gBuDOwMAeAP4EA/YIRgDx8VAAOPwAht1fkcLEJjFQBxyAHHmPybw4AcXVv/SK6Y+FiwTmsAAPF2x/iRV1jYAY/Elj8AFeUAI8QID4H4AAeN7lg3xABOYgQgLcjHEAB8HlFA+UTB/BPCwHxgZLHOOMYgBsm5YAIH4H0E8CAAB8EDCwxAB4am9hwfgeCCDxp1ftCo/ggAwzYAcR9ghEAHHhT4Ac6cYAALGMAD4kNJADHAAM9KwceZDj69skc6AcB+AxOwHwGAfVOH+IcQ4x8NBhHwGGbYMAeB4HwPAPAeKkBxH4HGwVfw4B8AwRwH4DgfiPB+A+8ofgeAMp5qsf4BgHjDAOOEQdDhgjADjUgOAJA+blB+PwPwDAPAEtoMEYI4xjjDtoP+3Og9C06BgHzRIDgBiPEeMcR5ZxAjDHAMMeGtgwXGD+AwtohgH8DHOOEcAYR5jw3lUgPGqqD1qyCHwHwfwPj+4/bktojxhjHHmOGlhacra7H4PDQY8R+Bw2GhSv+5Q/TsB+I7nezbyz8B+B7j5bQPiH5MMccI59sjhHzzLY/NOc7o2WW0Y4wR47wLPTrV+g9MT+rEPzfU7APgPGeI8c/AdYjjHGPGv9f7jc5V4J8Y4h94DxHCPgeY87BVI49yAzVS5+B/Ef4HnnJRxjP5T02al6geBxwjoPHIeB+BjIFX8f2hOQ7NA/swR/PwedBNssNRvARjjxHMo3tvMx+BhuDNsPnPbaDDHz4eceetzh467NudE/NE7PGOJ/rGsR5jHHwOPYdQ+c+iHHwEZ/dh+DzrBWjwKw8gan8Z4LwmsBHkQ+gPnHIf/GB4Nve6bevzcWbvV5ggQjwP8lNt0AR3oR/gfHOB/5Y8RyA/9KWn1QQx+CxuwA/uePYvZt5KIs0OuJkqMEKLTudFGpwquD0PiPjA4rgA+PBEKvlizurrRhzi0qkPePqKlMgp+FfQStmOSh5lXBxh8h4IJi0tdgHh4PyBAA+A8B4C2qWPLpzsIgHhPMStoA/hgPPv4p1P6APh5hHh8hwA/uUC0hAOaMWpvQArJwCBxhgCOJyJrN7J8LBD1wHKdABqHFhB5qJBwAAQKrjQLjGgAN+sPvjA5wzvpAeJ1PqiQPdgcQTQ8wUC7tQhzwloJrBMpMsgcJzQbB8FgwdA4QeM2hHM2QggADbBHQ8leCHQkQlCxQnJzNhMFMINBg/wqqbvZsNrrwuDsAfwvPelGh4M/pwPtoCKJAxwLA/hnpzQ3B8L2LRqJPpRKO/wSJ7vyLHLmhwAJw/jrRBA/ssL3LtA+AYr1rNh8h/PHCBAABHueRqrysowBJ7kKhzgfh5hPvZlGj0rtNhAYliLjNCRQhjvZh8NArrh8KmRvh/wvq2r7gRvlwyFhqHwLESp2uAhwAIrRA5phwQRuQ7COw8COL3KCwUj0Q/pxQYDbxCBwt0RzhwxoB/A4CBP/hHhmPPvOuMxJAcCXwjwkh8uzwnSKthNCB8NzwLx1vZplN5prR4pkRUwwAHhxwkwyKcMsw1RaKMFhBxrAw4LfSDNStTQ7vrhfvAhfPtQkh5w/h5rlPrh8QKgcPjA/AJsIyMtCOFBHhiQLyQvCDbLNFGvgPmyUj0wKNBh/QtwLwBxRBxh3usx4R5EKAOJrR7P7B4iJPthjh9hxh+uZO3xaP5h3uAtHw4BzrZwQSzRfPrPAgHvAw+TFOkvFPwJ+NhA4PLytAJvowdOMqMvBSxA/toQKxJDbFePRt4SpKby2PjwbDgOwAfhPCxy5j0SaAfh4R5PGS9qnBjgPreQUuDO7thO3tmv5hhzFOrh8A5vozHu/SECMvdvPuQvPuSNYzmTMTevwA+OXNjg8O3LzwPxog8AfKMtnlcNnuXTszrh/gHhHhDhhhhhxhzuTj0zjuwDbNzg/APrcjLx2TXTdu7pkB8TwOcy+PZQUhwh4Teg4B8Jqz/leAHuASiBwu7uUjcTHtYTqCMPdgfAHOQ0RLcpvBBgDhDhAw/h8SNh+NdPzAYNewmNJLBB8Ach/A+AONzgOFdB+Uetdg4AeAOOhURtrtstthDs3wnBwBwNhNpDbN0NqCxhwUBuTyaQ2i+i2wtgYA/Udx7MEyXQyBwUHUIuEh/AHuGJlOjBxhBhA0muKyMB8RC0RONiqPAM0udPbJlhIAHhgSBB8srkBRIg+MpgANesXhDxEC0UcKKJqxqwZxsVCgeAgNXuugQAPldtJuIwnB4ACUnsHrUPbFjUBxSJzMVCBUtp2MugAwwBAARv/wyB4AAxcMrpqlftMz5QrgIhyAAj0kl05si07Cn08Fir/JrCzhOMBB4w/rxB/hBMygDh4hhx4tXhDh+KL0cA/r6ADhjjcVusygHgOAwL/CBAYTeFav6B4QnB8AfAYpqMErUBgJ2h8UBh4TcVBvwVUrrh/lghBwwBgscixvtsdB/JvABCOBHhgCwtmsNB8LwMcpvL3VyzIijHUrkCBwRHYqiJQikWLnyHRPWnGpV2PiCK3HNq0pSWPCK2MMI1hnKC1pMWViKWW0xHfwDWR2ZiJ2anlrfWcpfHvpe2gLEWhpE2ino2hWj2K2lJJCn2RJAWUmNJCOriCLMCCV72WrUCE2fES2TV9psCEKQqxwXKnqNDdzbqVJ/h4A/qfNcCBjMiFtNLqiEw2iCvziEW1wRiR2qCB2rCB2sK8Wt2qiCFeP5qY2wkzp5rNCBQXXCjmkD2zixuWCC0JNK23CBW4CFFfW5iEAAL6W/iFW8iuWpqIWuiEQN3AiEWuLMU0Wv1h3RJnCCJrssqGXHn1CBW0XJiCSXXLCCXMiBrYVBgD3OCCoC27XQykoQ29iC2/CBXUDaFlWuDigj3XCEh5ONp53Zh/2cSOXICECUqk12lX3LtY3TjsM5XiJu3YSuiE311iCSWs3mjLrN3Upvi33qXDWwCC3r3KXZCBrBXS2tGPmI3wgfFXiC3fnWvdBB30iBqfKD2727XkoWnZPHLgiNhn2nprDhh4jGjhvjCOFPkKB+pwE5EOh+Dhv6xBEx3CxvJsQmh8KPNzix4AB/iOLiA/rYEbkIDfiJD02+jo12gAvziIDMC4C8v/t3LYFS4HkKCN4iLlJog4LXuOCQB4AYsNAPruhnwcMTwexAlgsIAAQLgOBgQmL8AYAjuJC2hngMC2h+CzgBgPlaMAwcB+LkP6sVhmAfVaC1wascJwYAMVh+MmgGVth+N5BIP2rBQcTbrsr3B5pygDLjAfAIh4UHWFgAhDsCBDu7g/lq1sB/hgi11Dz/jM4HlaMCTegYBgW1laBGAIA+APsIU7krgIwrgHhIBHhns2tHljADs8MQKJxItpBAAgLsAPgQAjuCFeBngIFePir15Z5pldscqbMSgDhkQ6J0sLAeADvEX6BxtJxcLtKKB+JlhAT5LBFdzbsjNBh5L92EUfgI0yB4MJgABDhwADuCUJVZkBFghgsu4xgfDzh/qfRk1MtJB4A4BAAwZkBEAIA8Q6YJo6iQBwhAvlhDhBhjuy0L5RNusIgYUXtWgONygcADP2hHgBO5hnpwBngBjMh8Ms43AGMEtsgHh2APCOOyh4QrhcAYA8AMOcgPgfhYA836BhtuOKh8AwA+N8lghAujCIBghjhPURAcR4h4AcA8OE0fgY0MwXM7gDhgAB5+VH1HwDszgeaCDMoCxk0/FXhwQXJzlfBAAINjtrX3iQOkPlu5vDuzO0Bnz7vHg8PAgOOaT0v2hn0LOyDh7F5AuZA/LchH0LBnhzhuBj2BuA1p1AuMuhgfg5j1wXADsDKwObugO0u0O6BPDbAMO7uYTkUfgYawaJLthAuB5WsvixlfZWg8AEAOAeAHleICh/ADADhABAh4ZWgcAHbhbjhYAwUEWXocCMvSx8rAuyqHN5BHuk7CbDPWT/hPgfhngPhjAPvqbF4ObI7J0LPthuB5rNBPuAh8vSh+NU7Pg5hnMIlfQJ6ZB8NCAOCOO6NaPhbWA/gcVqbYCNh/AObZ0HTwAP0U0yBgSN2XFiaxtfURAOAD7hsugPgBhB65bkgeAPbhaNB4Ag2ba9CO7rbt4O0BRXVmLNvycAhGP/OciJbyBiAfwDb0v0JqMwv7WCB9748CPSyGOiRv79QXP9OWOZcAWEtDDhlh8DB8VFOZQ0h/AMA8Bg0HB+AeOi5Nhw8KSOUqABhg7/tl8N8Oz/hBhB0HlXuPFeUUxWMV4q8WOr2FtHhnx3DVNH4OB/AYB/tkhGMWprBPsTQsWFkSv6JwsrA/0dzhBxhAAAheBxyz8jRCOQFjgfB5hHLNjcRdssOucAlhVmRXDJDbMV6ZLR8FgEA8Ah8vAcAfhDtJBwhCW3Ykcz0Wg/gHAMAjC2qfcwBBlXg4NJc5Z9ZNsWlg5aiQTFlj8959SiP58ZMsxzgMB/hGMm9Ds2s2MBY2dGwz8odJXPBeADrNQ2pwNaPyY5gPgfB4DLTCoCMrvjRFj19TN4FhDJJjx3O8PJ9XdYdZdaQZMGW3PchA80YpgH9f9g0f8eNJA4FXqdlf86RO7pkEdnOrsCBP4OhgATx8sTp4h/dr9s139DgAAnzhwgdGDhqJdxqvi2huBnym90raL2pjgPAA6iA5gfcZzlB4AEQKJtivurjGiJBPd+Ax9/RZVHg8AB+BOjUHhGAQi0VgAft3b/z4gEBheG0dlZaF+JaCZ8ZNklwecV7q2qNHYOsCh50K9q9A9Bg/hGOaJrQf7yThXy7yDhqdYyP9P7FeBuB3ymqv91Bw8aKnbQBfX6Oi3t9WUXP1h4yecqdVK/scw0sLZCcvPPtZUHgGNRQpgPhw80PxAHgAL8aDUfgPhB5Ng4AwuYURDz5Nxzlt+ziMbrXt89y+uS+3pj8avJe67xvR3t+WLaPA8gzmB7huB7/B1mV6xCR6P57QBvX6N/h9vicnh/t9dTS/ESh58DBMfKthier9+nuYPP8JB4N+FjQAfQ/Rg/fSi8sWgPfVc3/W/X7m/OAYB/B+WTozCLiAMdwuNHuNDvNnh9hvEPv9HvNzv94vwcP8eH9OHw+P4fpw/o8PsdnwV/wmIo9/Dw/B4fwlhwV2Ps/vw/vFxvljvF/Hh/hh/h8frN2xJ/odjvBjvh4vg8Sl/w5wvFPv9juNPRcMPh8PN+HmaP8APwDuF4PweB8DoNwPgHAN/uCnvwHoFg0wfA9AOAfv8Dvy7gO1HB4WUfA60Id4Hh4H6G0/HY/IZHJZO4ZPLU9hwNnuNBuOEoN8Q1DuOI2U8H4eD8OHweRxPD8HyFj1WSh+Tv8OD4PB9Hg9D6OnzM/vBwzjTajGXt+0Rhwtx4Omain6PQv9hudPD4fjimVw8Pg/v8A2KyX4GAdAoF8B4Dv+Iv9/AAB3U8BgPoFweEAAAfAb0EAwbCAcBwDsQPA8NSy8FQWxzKwYyBwkCcZjkOQJDmeB4BnwvZgkO0o4D4HA/A4lTWh+TwPNiqphkO2qIoaDz7MM/0WPgf58H+wcJnwGB8BwHgcLQf59qIcZwHCcJgHwMA+NWp5BtAvZwmO7IHBwfg8K4PgAPCQJ/LGwgAAOYAAtC9rHvkustvueD9S5MUyHgfA4L8B0xMQ1j+L3B8+MhB0+xyAMjLwB5nkAEZ+L2cAHoieQAPisA+RGjhPgAJ6Q0HFyfocAAPkAH4QAecD2uXHCmAOY5+TKQA/AAT72nuoiyAGcAEH4AFWj4p5IL6vZ4Ae14ADwiiuVbLsvvKH4AEOcABn5ITHkAB661aH5gzasAAn/aVmzlOi7vlPAfVxPdAT7P8+nwCLnh+RiWmCcdExuH6Inmty3ECmgGUoQZjpCeJ4L2k1NkeQIPmAf4YB+eAPy/G8bj4kK+HwYK+EepKGnjHJ8AeeFJAIP7xqeTAP3lDbXrqfwMK4P4BPCQZ/AfZJBkPjlEgeyBgWs8BAOseCngBnC9Y4soYL8B8oMQxgAo5c1AXRpyHMer+o6rq0F6oy5/PDq+u69PmoacR+p6/suun5BaJ65s22bZsNzbGx0cbbuk+bmy586zuu96jt9Abip5A75wbJ8FBR8WxwnFQfv0+8Af5B8XyWKwVVXJcuy/Gz5x8W8xwZjwXh3PdHBvSdN0/UbbzXU9Z1vXdL1/Y9l1/V9n23b7r2vcd33mrd13vgeDBff+F4vjKf4mprc+Fy+Yy2NMjM7I+guOueky0sMf6jIHnq4fbXB/QbH0DHHGyLG9n5O5W15zHD95rIegfLHdEyB9+3qgD/gyPssd7Zjh5vdas99QBInxwAfMZB9DeHRvqKePAMBT2mwSfe88p71FnmSHm/g8I/iWOVJ4/4yQ44BNVgIn0Y4j4DlPHHAkx8C4LOegcP9eMHVytbMu9CDD4IAQcPhBUy7en/wshK1F/aDIVGQha+dBkQ3FQzHG02CZ8IePxguY5vUPWpnhH5EB7D4InQkavEdBcSTHxLgVE2BrURzxShvFV7UV3qwah9F2MkWIwQjiK06O5l4zPlhcY6GBk4nOEhmMMp44SOPmHmWwHhcCCI5IaP4GI/ABjAD+i0eADAjk0EYB8howA4yIdATQo4CGcAwkkM5nBjRGFNAOOMD5EwBqpYitsOcpCnkRXiMcGJPy5DmIaI8fLFRhg+DwOGGhDZVK/H4HFTZOR+DGAGb0Y4nCGiADHIhzssmND5I4I8GD3yODHTHHBwcM5lLbfelwYAOAHA8EAH8QDYxgM4HgBEfAARgB+W1JsIIwAPiIPOP+UTTAAD/i6AAeEqB/ggB/PcZABx8HtH4AQ74AxxADKWoIfgcGcCADk0x9iuCwiDBAHiigBxyUUAGPmhIAZkM9ACQ0EAH1Rz5HwW4580wBiIVQJCkIYqSFPpqACiJLBHggAwx0B4xJLzob5DM/I/gGA+B8AxdoHjUVaAYzgQZ7UIjwGAUuVQ/A+AJGGXgQEjB4AQH4DAmYfAYKSL2AYD9YRgFHkQksPA8RgjgDCwAYC8SDQ0HgCCuJ8AMA8AwHwCYAg4DDHGMMcAwx8BhHwBgPwGJkAcs6Q0AYDxhgDrGxVIw+IUiAX6IF0CRgQI8sYB8BgHxDAOB+I8AQARDjhEPYWQs6WosMI4B575QKuA8qwbAhzoBzkDHgUsmlaLcjHEGMN7o8zEkbB/WglMFTeMXsoOOb5TB4jxHCUo596YlnPK0TQfwfgcEpNheQcZA7zlaI0H6ZF/DGD/AfCkYZApGw0HATgR5nUKPmtSPi+BK7cifEdbk3xs7K3njW05VRNBHEXwmI41APzUs4UYVQgZSidXdD4R8gl5B/wbeyyUnloC9khEeOeyg50cETDw+a9JNilWqhYROcF3Q/gYH8BwP5th8S8KUlgPxp7+kqIbgEgohybE0HjgeFJBYU4MXjikmhLF/DGtyB8owzx4kLuDVNqpYQ/4dziD++JF8lNxIiTlG95yOVoyXi1jWMA8zAxneC5wxyIY7Sw91eM0HED5PfeQfmRSaI4yVkzBg+F4lNIrMgP5FyGgfwYI8eI58tDEHjl1CZJIWj8zEH8DgP1/ThzQOfNQwx85tb3DOgyW54gAtxnXWBHynugz1dEeFSM/AfHnjfQOPFOpYABjQn+edEDAoSToxWopnsby2XvSWycjaWyXtgvVhh/Xz06TzUBP3zEvy2lweIxA56qy/DReO4iaax1nmfG4gAAjH1zhnDQONgcGAYH/OpuNiDwPbqRW+8cVZL2aOfZ9H9ohw2nBVenDhnjz2xDQndFdGq3KUr+GhXNxY7NwT/bCv9TRRBzukf8yB/kV1Cc+ao8dsB/HwM7esKtV5gH4OCpG5MzThtyOfgHAtdO5aqyrg4AOE8LA41IYAJyHMAARxLPwP+K8X40yXjW1F6dZ4/yGKJTQB6NoaPgOZYuUj85WUTq7BywgD1NG3mYOeak85wP8H44xgAjE/zxLg+BHBj3tqxePRgf9IzpbnpfTeBwyai2Mn3NFE9W2IIMiOai1k2LjivZmzsXkTmhQqaEdvBDn9Bx8Z5Tx5k7H+QOZ5ax+BjOt3OAXLO7+zH+MHmI/uZ7rItkvd1lNSPk8UGfxvRIE77B+MZhvlMblT6dwSAvDCU8KB/iAHnDGxm2KpqnFHpc/+oxhCF7PriQm24++THiORwzPKSPzrUyoSaueqJ87ufIHgHGK2H4+O7++S5yE+II9IRuAcBO+i3w/8oUD+zIA+zMEe6WfG8ucwhmdAyUzkw+Ok1ilalI/Qz44mIK/Y/qxkNw0M1E4+x0IkSwx0/u/Q/0zU7m0oyO5ayYKTAIIm+OD+5s3aUZAWt6hqH4PZAi1a1fAtAw6WzU+28wacGGySB+A8IuJYOy/GN3BKxMKSYAumxXBU4sIkx4z6KaJUxqX8GG4/AJBmSyHwx+KSS/DMgCH4Hwz6D+vm/G1E01EAImDy3Sv4J4qwyqX8sqxOoUA+ysy88c7oumwgJAwnAyxuJzCnA6b6HgN0uMB8A+A8uNC6q+IckQHGGCLIKWDwrmD+us9QvOrQD4xUNYgqAeAeEfDcg2mUcQMUHgHAvOLIZiSQIkK4Sw4UB4B4NYJ+vQHCSOvSHhEHGQ5sB8PsYsEOGGGCECYBEZEc6HAkKZGOlBFuAeAcAe6Wsq6cbuckhmHwoST0qQEAA8niJ+aCW2LcHgAC6MY8oSz8UW9QHgDioWJmVyD8ZwU6EAAG4+n2oUWEn2HAAC3iwAHhHu7iPiP0XGbQA+n3HwWaVUnAXG5sWUIbIOVoTKW0H9EbFdG8HADGH4VuaAU8oiAeaC6XIm4EMTCoXMH8LcEAI4Z6kxHmPuns94XUHgA4DwB8Lcz8YC9QHxICZDAoPGD+PaBAD+GADm4+7kH+AEWGo0AOYAyUAeoqRu7iPEKeZ6WcmApWHIAeS+yKEDJCYMH+AhKsDiHgkqPaI4JCGDEefMHhJbJ2cCYOLeB+EAGe6WY44ER9Jybqcebaj6fKjSacPeMu1CjieOeGb2OXMcbZMghZMkXNMoMkSJMsKeF+6fMw14dC+Ub3M8hoMhNcMlNEf48EU2KeM3MxMybqySkGbNNckCXlMmiCQSfQGGcjNycyb4S4b5N+MePyjYa1OWfQUXOROSb2cNNaQYkCcTNCQUfYfQYDOqMtNVPFPKdNPJPNPScvPRPVPauFPdPgdlPZPjPoa/PnPrPwarPvPzP4XPP7P/HXQBQFPfQHQKbdQNQQbLP3QTQHQXQZQBQdQfP7QjQlPzQpQrPrQvQxPjQ1Q3PdQ7Q9PVRBRDPNRHRJPFRNRPORRTRVNTRaQZNmcGH8ddA8H+KmemMiimJLMijOMifmUBR0hGfIMmbQQWE/LkMefhRvNvMufojgPeHwBHSHRyL3SCdUaikRRu+ESGeohwO0MfS2kDNeMhR+QWSIglMgQmfsfpSKQVSOgWF/SUMcHfS2KIMehwMiPeHhSkMsaai9TrQUaiYrRucAg2jwH9S+MdTCiVR8QehLSsiVSmxeixTaMuE+lBSTTlNvTqf/TwMg0jTUMmI4viXLM4a8hmYRUIi0erUQjJTFTEH/TKQVUfTSMihLJcQehgj6GfU4MhU8Me0iKpT6zoi9VMa7VRRsKfUKh3VaMnVfUaQZVoQVVhVvUqMufhV3V7TvSfM/UlTvWJVKbohmGID+E+bQJQPCg2HePcvgB8/HTaa2H4fMXKHGG/R3Xs0gPdUnSKOWvge7XsGcL2e6fmuySHXkipSKe69nJcSIgESIbQbQhxYFUmL2Y1TbSLV4F+H/Y0Hi9mwYhwK5ViH+H7WCGPRmMcKm9nYCviB6oUalSuaczME+HAA8TKZwlEcioZI0AcYUL0JKPsHABHMSRwHGAOH8PGLcHyW1J+D8YUoMpwoGVwAGH8AML2kwkwZ6VYDDJYGOEwY6BmoMn8RyA4YQkwW2B+YUYYYYEwAOU8W2D4f0VZacE9acACGYAe7kHiLdHcD81gGAYCHAA+EwDOY0m0KOMaksHmaZaqLYrlZoeXQPZiB+E+EAAcAC4coMDioQDhZ2puoEJKAgAeGAAG4cxco2VuctHaLAnoB8puoNdEAeEQAAD4PGAEL3HgWUVaB8oDSkV4HAAmoMDwoTKMnmU+W2A+BEpwVEAfbYA+TeB4f0P5dcE9dcAComp2UCPjd0NQEADBMKAeEgDOfNcNOoRuACUcH5dsLYogGALbXEaiX8E+EMAOEet8xeHgToLM4UMKaQZwGeAHGuVoOcLeOKKYVMs4AwD+quAOZwEeEOrCECBmR4ri8mzQA+AdGoA8rUlqEDGwcikaDAJmLMB+q0J/FstIWmGOE+B/EbEOB+qyPYZwE9gYJKOaHgYqHgaMs8AwA8I0A5baN4EEHOteQmGGTOu0HgBwrpWIN2E+EPWMavA8AfUuhSHOrcKY+/UQvCdAQwwEvIyFFSSwbQHwv8B/CwN4uaE+RYHmbyWG8nUuwmyUN3FwwWOAxhhFE/hYJ+JAQuwXhXC2yXheB+MMbGE9jQGeMywKLKI3C0W+A/UuGeQ8ZwhaJEgTAINM86MYRVigd9fgEfUuHOYu4vGjf2Ja1EJKUYy8K0COhpAK9XjJC6ziA+9m1CJfjY3S87cmA/YCI8qUwGNGIO9SumzGtzNqxsIMHnj+RPkCNSEdlmH/kM9mGeJyhqHg9syUE8DCi6N41kEemE3whSegx0NNVGffAyhTfeacNnUuIIz1jvf1VaISfMQxlCHm/zkmVNFWYe6uA9lk9mRa1EIeJ0vmT2lBXiznL6Ie9Sz7mI9mPaNtBVRtCxSqKAw9mfmiJKJy1MOG5pBACGjsbHieHI3AQm8OMcuiSxnLmLifnSXMGOGHkMIITJmFKsIvniPkRcIe2xJRlaW2DwZw0sAAA82AJaW23cIe2ToIkkYa59oQ6HoUHmkUu6zHHqW0NtIQbHmULfoqD/YC9mNfmk9ES5msIrgSEcL7nMorZmPDko4AMcABDRXAEeork5P1fgHCNeIJrdjuABpsO0GdpwJM2YEAUe3BD1dmW0RwAw2nqI9mGAJYIIu0AABiabse3GH+Ecz+y+2YxeijqmNxHqU+XoPlqyNUPCEAKABxq7qLrAJKzU56J0l+J8EcWdnMVHZnpIGOAAfY4imfpUEeVHrqb7fgHjrzk+9oImD4AFr8B/YDNuNs9PEZlaHwZAoSfmAzZcI49mHgtxsifMxSLANfjHsxs0ILs4Hns9Vw6ueQKAHOL2KnhWyVaPtSH/q9mhqLV41SgukoJ7swkrnMEACPAWIbkpPA67t9rlwDuEadA8HhpijM/biyO0ITufnqlLnw/uOGYeJ8vhqKL5oDqiRuz6RO3GzixYy/qhqlvUa4ZjugalviyNq5vttbvykQIkH8lVtmWGffmdhVlDnAZwMwyeKbXBx7wWXNA8NDoCGeVi0FwllNXWJMy8H2HwCflahqPA0sH/b6F9qKG/EToEH9D0yNhWGMD+EZxNoSuyzEbRn7Y0F+JBhVTpmTomEYJ+xEznq/vwzUHGOXoG5aEdx2/C1kE/x/koEeViKpyHpUwnnRZhpdyVlDnc9VyeQwkRyksqMGte00me0qyTAr0G9mwDogxgSuyMNjl4D+E9xOILNwg3XjzatzJQISJGQmHHmUERzuNTtbxpz4x25pC0v30GEP0LiI3v0Ux5kz0H0dcjpcWewDkQY1FgWHuZkj0uNtGvFS0zFU0qxCN2wm9mYv3FDFiV1OAeGcA+E5CwkywGy8kQu1mGH/jmJ+QxgcsqHPj/3SOTE+JZz1rCvQRwOONSuTx4B/2JitnAOAsQx5FlVJmdpZ0egLJQEOWmHCkRIASwDgLOH8twGeZoRctLGc0YcQHAQORuBwB81iAd36KKwTFuMTiUYULMN9gv5Se+tKy+WaRyDwDgoU7uMMwAAerwRYSnhXguA4SCAOqzwnvu9mGCzUOIRyRAs4NyOQ/CPZ0KzBpfGu9urKrQYV44/CQJOP2b4kYOA+WvHukqDwAELuH/aqGenuRcW6AGIXlaHgAJdpViTfML5YoEnuEeHgB4UeqQPiEeZ0nmVwD+Way/ImRz70H47vtRbOpupzinhYEAXGLQWV6Ztb6eo6Il8ILBb6xoEeABwFDNkoVGkQVqImWr7D9MCPOwbNRqpwJqY4oUkqYjjQzMGfPCJMHwAmLksxumqwPaHycFaZqKPzKYL8LddsYsLgYqS859SkIL+CoUD8TO7vbMYRtUYYQ36MYrfoGOoju16aIkzVbyciXwa2EZnM9B0LaIQmYZ4uD5Kf+hEqM6nX7LQQj2IA/4FA4GP4JB4RCYVC4ZA3nDYhEYY4IlFYtF4xFkfD4jBozH4hHJBI3/FJJJ5RJGO44lHpTJ3vL4zJplNZtCWGg5bN5Az55EppP6FKXAD53Q6RL6DSaZF3hLobUKbU4tS6pV6xWaTVq1Xa9X4/XLBY7JZYHYrNabVV7Ra7db55bbhc7pI7ldbxeYhd5HLHO/5E/3xB0CHqlFpZDH8fIbPoQ/oNkIJUnzBMlAw/B3jCQMOLzfJA43vf5E/cHBMLh4av4HiYXi4RLmfjoPksvAsplpcv8zBM2/37BM7n6E43PpIG+dPAwPhovLtdCthuoGj9p1Nu/9zA9uP97A9/lYE/g9nrxoJBx4PyoOH+zHdbDX8f9rLutFu3Ce9moF4n+yDlro9CPvUgj2II9zVIY6D5Po6iBPuir8ti76BPCgZ+B/AK5wGjMCuTDYfveiEGMVBzuPs68SPWhb9t8/sMD/Da4Q6gZmB+fgBn+Rg/mGf5An+eJ8H8EZAHOQ55nOA6ShwcJ/pYfABsMxJgB+GJ/N6T5zB/HxAD4A7Bn4MbBSWT7tMgYg/kMPh4x8Y8cTAgQAmeozekefJPB+cYPB4ikqoMwYIn8DJ/o290+n+fgDg5HD6H8GMcnAH4AH+eAHM8Q66xqgRkTAAJ+AIP4AH9Sh8HwP0inIAZ51VJhAH+AEZSlSaBEAD4QDxJccnID9KAAHgDmAD5wBHSoBxyfADqKYgPAFNgAn+AM4EAgwA07ZLBAGfIDB+AM+EBUQPoNagIDwBMcnkA5/B5cFFAhYajHgCJ8ACcAfVjSwcH9aEBI+YBhngYB8DAPgMD4PEZHwPgRnOcAwnmcCWOUBA/Awgwfg8HwMPoAwHgEMEfHwMJwC4DA/AZcRDAeYcdHAQORHgYZwkOYBOBgPh4X0GERB+QzMkff+YsEMJ8BNjU+AcH2UIMAwPgEOOXjCeAT3WB2LgHlclnCQJ4CAfJ+Z2fg/BwfAYU0j5hnicZ4OUPg/B4PkNYUMZznCeB5nGzblB4Hw/szjAeD+gwPkeB+8n+fJ4HDsQfO8H5PmOZ8fbyee1HGlZhnwfmcc2yDIcJQuZHmyshVOHw/T5jHHMhwpznjIR4P+Hj9h+B5DmevxwyE5UM7Fsh+ROt9Nn+YZ8nGfB4n4PB/g4gR+HgHm6ePvG9SHwMzcAf5P9YD5jsHIXjn+D2/O8c5Hx913j7SY54mOeHN/ePHPO8Y9C/Yc5+SD5V19R2bDCPZ4Id7o8R5j8Di7Jvx2nukbH++x45yjIO+HiiMtTw3vGCeS8t5qiWcvSHw3gysEAeKFO0nx7SEHuvfSeYMzK4gPjjEeYltUDVCvtgmzgfzy0RONfqI9+7+Rxv7hGnyBMADIDHe6PmAsB11wJfoJ8zb7DBGVgi2OCaCizQWMGPCDIAAOK6DgDg4w54PjnhC9YABRmMA4AAb0B4HxgKUM28eNqWFJgDhiQIcJLIej4fYYuCcOh/ONJZD4eMcUnj+X1ENwJmQHs8iQMcfI4AARMkbAoY4gFoSSUqZV3rYx4AAiwWWLQ/AARBDgAADy0B/BzAxGOMsZ5FRphLGwzIwI3iAUoSxtcbVbL3AHC8wQAX6x9j+mwf0B4dp6UKM+Q8ux/A5kU+KEccJHvAiQneSklonPdAAtBO8pjKyid9JSUZZHhjPHwPABEqJfB/H8GMCEsEkyyjZGo8sbVYCPA/LpJ6T5QyrA/MCYQ4AIv1J8J+Pw85ATJTO32QszpEDnmjNGag/1ewAmw4SSclYEN/m9OBxICGvgCRw2Ocy/SMveePEGA5gkRBjAjPSMziEhnmlqZifgjyBS8M259xr2qfTFULH4fNDZBSEma+2ntFTPQmf+o2SI+S/0/ku/Q3skndpDpPGI85H3vPegK8s/6IgRiRppLJwJuIiVln4/V/QY0wvkZ+SyZzx5JDPHhJKpCZwfpcqWYmAs0qnwjA4H+IwP6pksqtN0Y9PIGjxjIPmK8EqvkZeK96DI/wMGSBOIGtNNomvYiI9sH9b3vpiMHYeFz5q7NqHw3l9z3qkPzA+j46zan8vJsI/15liJIW3iVAaj8mBHxRskPiykVQcRXpURh9c6x8B4beH4gwBxB2hhFE6IgH3gT8YAkG2KpzPQusfbhtTxobPec3De60mB/mztg/oPK6wfQmsPI8yAz7buvuJE2kFj4+PtuVZWUCGbnkXGCOMcLAmCA8whde7JxpYmCSGD6oLGAfOzH8ByN44UnTriDhAHAH3CQ+J0MMQI8XdDjHGMEY7ypkB8Bw4MR6S3IuvxCPC+oPAMVQw84PD44Z12Nha90Y7kxg4NVMHCrt0w+PBLW8MYCygASmD8ADLJ9BDjDHGOCMk9TBL6Umxcw0olYRvHgtAfgARxqkyyB9YIDxwMtACvRKI8ADjHVJMjLN11hD/GDM5eiiQA1HXvVCNK4zvZrlNkYf4B3ujgSXmuUI+I2VdlNlFDhHxiAfHgBwPyoVoKUfs2vMNNR+ZkVfCUH+rRARIWwP4A5LFoABEeIdSQ8FijwAwoofgDx8PdH+s6CYfwBkG10fQcMzlFH/APUdbsJgPpzIMMCjA/AEj+AHpCAT7jMj8XmAwPiwLvNjX28DTtKyCbqLxOchCFS9E/gsQMd+7i5j7goQofdGN5lI3qQIeaMy3bSIqPzfe/ylVgIGPB2JdXlbwQxjXhRQuAzDLwqQiypMpcVJlxfZ5eEdEWX5x4m7w+TcpLByjlXLSs8s5dzEpvMOZc14tzbnEWec875XzznxWuac/6ERfoPQ+jF76P0nenSumE16L03pvT+odK6l1Po/VerdD6x1nn/W+uc8691/nPYexc27J2XmXZ+0cu7V2vlXbe3cm7h3Hivc+6b/7t3cvXee9WX772Xvnf91+C6/4HwhbvDeHgr4rrnifGSk8f1bx3kee+U6j5by/mOqea835zq/nvP+g616L0fpOu+m9P6jsHqvV+s7H671/sOzey9n7TtPtvb+47Z7r3fvO3++9/8DuXwvh/E7r8b4/yO8fK+X8zvZWOJeaHf0sjMuNKD4VjpRFBtT6LYIOYHv+dSE/TIETr8BRF/ADzr9gP/4jxlSPmpVH33/FDg5KQQ2iOjo8LIyM8cJ1w8R1z7Yyw+hw7+jw58IhCyA7Sf4mydK5MAI/w97+IcY/whzxSILKQfwow3B4jk4j4Z6qgfgPIgSmoX4fwyQT4X4yodw+iTieAfwf4d6AsBA+ZHAwBRIo0GIgwScD7/qqgf0Egf6M0DYfDDAGQBzOgPwITKIv7YITAPAHgQZiD6LrjN5L4eAB7bAfgnwfBYAf4CcHwjEEKikISMyPxPYHgOAIgQ4QQHwIR5YlgeENoGADgCIeYYbeTu7N4OAIYcYB4Qg+gnwcZcQf4GcMQi7/yigPBSjOpvAZ4RwHJtSx5jIOZSoH5JIQ4BwDgPgeYZ8Bbvp44OIcYd6fggwn0T5EUS0Bz9MRcRoA4ecTwZwGZvAc4T4TwPwM5RMWCGAR7UUTxFTu6SiAg2YH41kVAZ5HD84lDKgA8MsEoYZyoZ4YwE8Wp8QPwJ78p4gR4T7UQOYb8YLuj+xJ8YpM0VBN4fkZYk6dMIcIMEqyQeIT4YxVY4wcADwPxJa8QAYT8bqVoQEDjv4lhHIT4ZyfShJN6JURAiwnx/EMwfB10eUegc4QEXEfKdYEcfgDkf0gEUIwQCcgkgx7RN6UMhQishkEcEofhvIR4YwGMWoD8XBMYZ8lQccjIPwOZMzwglgcMWRBwnyHwH8kkVj/sIclEoslYYwHEl8XCA5/Ac8msbsm4R4b8nRJ8YEYy+J+wg0dQkkdiMkM0mgR4R0pQ4wH8XEEivEqETgeZCMgMIcTyfgzMn6AEHEocMYkoAA8UYZy4RwHgOY4wT8e55YcD/4YcjMpQY8nMtxvCx4R0U6Bsukrgu0EAkpbQgT+xZMe0vw4wQEe4xgeD9UfcboAJiEPTukOT9ULUx4cEQsyQkEdk1kvQB5LB0wGY4wYYZwPwPwP7YIeEnEboY4eYeDjs04wQPIfAZ4k0LpwUurpwr5/LzEcLm4r06DyktopjyZRLzAY8jgrc57zE1gqk7M6ryM4c8T5z589Dv09Twc9hGk9zBM+DKc+U98+jxE+0+8/Dxc/QtM7M/ghE/0/4glANAUy9AqdFA4sdAlAtBdAVBs/9B8/lCM/VCc/FCs+1C8+lDM+VDc+FDs91D89lEM9VEc9FEr51E75lFL5VFb5FFr41F74lGL4VGb4FGr31G73lHL3VHb3FHr21H72lIL2VIb2FIr11I71lJL1VJb1FJr01J70lKL0VKb0FKrz1K7zlLLzVLc8FBLytL4rtLry1MbylMryNM7x9NLxlNb+tMIr1Nrw9OLwlObwVOr8NN9MVPLoFPbl9PorFO7vtQLvVQcYVP4tlQ889RLmdRdRlRs71R7gFSNSVSc6dSouNS76lTMu1Tbj9TtTlT8ZlUNT1Ub9FUtUVU8ddVNVVVcydVs19V9WFWImdWdWlWrolW9XFXIitQscVXdXlX4oFYIiNXruNYrt1Y7tdZLtFZbwFYbpFZ4idaNaVaYhVZrsVa7wtata1bYhNbLxtbtAFcIg9b7rNcryVcdAddIs4gIAAAC2tVR3ZWx2ZU1vbmtleXMgSW1hZ2VJTyBUSUZGIHdyaXRlciAzLjUAAAsBAAADAAAAAQajAAABAQADAAAAAQiYAAABAgADAAAAAQABAAABAwADAAAAAQAFAAABBgADAAAAAQABAAABEQAEAAAAAQAAAAwBEgADAAAAAQABAAABFQADAAAAAQABAAABFgADAAAAAQiYAAABFwAEAAAAAQAAtn8BMQACAAAAJgAAto8AARJhAAAAAIA/4FA4JBYNB4RCYVC4ZDYdD4hEYlE4pAnBFYxGY1G45HY9EIvH5FI5JJZNGJDJ5VK5ZLY3KZdMZlM5nMJpN5xOY5Np1PZ9P4TPKBQ6JOaFRaRSZXR6VTadHaZT6lU4jUapV6xB6tWa5WK3XbBT6/YbJSLHZbRP7PabZOLXbbhMbfcbpKrndbxI7veb5O77f7lgMFS8HhZLe8NiaDisZL8bj4riMhjMlk8TlcthcxmcFm85f89n75odFeNJpbpp9RcNVq7ZrddaNhsbJs9pYNtt65ud1Xt7md5v6nweFYuLkOJx6VyeVZublOfiuZ0aB0+pPut1512e1bu7ne/gO54Zl4/JLvN55Z6fVdvbpvfdfZ8ZJ8/pIvt949+f1fv6tL+P+jMAwEyMCrLAkDolBMFJBBrcQersGQihkJwohULQuhEMw0g0OQ6gkPxAi0RqlEURxPEEUw7FcNRbC8XwpGMIxnB8awbG8FRzA8dwLHsBR+/8gv7Ib9SK+8jvpJL4tCAEnSfJ4fxKjUmyhKEpSmlCOytK8sy0jkuSjL0DTBMIASxMcFy3M00TTB0yyeP5/nhM83TVOAAA+gZATbOyGyqAAAxDPs/IXQE9IGflCUKxc4IKf1F0YrU1gegxf0lP810jTFDS3QVOTujYAUrUCqy3TdSw3LdU1MjgDoGYFUVYf7Q0QYEnTlWdVI5OR8SfUldQ8j5ASeAdg0mjtfShY9hI7W8oVzZkSI4f0uVlUrQ2VKFEWlWlnS5blpUBYx/1Hbtp1FXCBHhYFxTXV6BH5eFuyrNt53dMFPoGQ9z29MF2n+Y9+ybaKBHPgaO30gZ74RVyDYZc7QyxOt+3QjliYViKPW1NFL3xi8n25a9MNCfkoXnkdJNDOlioFSF6I7YmWn/RWYTLQR+U+fGU0ZeqBEDdeeULJtyH+cKLaFP0m24eCBVjm1RIIfGnaTOzQ6LmiBT5qCNXCgeKWY0OC3jsFjtJX2i19qs3NJON17LYNszFWm4V00Nnzzp261nQFzH/Ym1zTKuaVJJ3AzHpaBVfk291ZJqB4FZXDy80N54PlnJyzWuFn/Z/Mym2eZc/Euz0RavDa4jNq3JxnG1Tlcnbf1GPo1Z85HBuewzXOuZddbEtj/ndy9zsyO2MfwP9b31Qc2f5P5Z2fdV4gRv9x4m4pEb/e+XTjSUF0/r7sjs6eDK3RxRb4P+h6PizKB+8fZ7GKsP+f6fqvX7/x/KPyW9/+ntf+eqAJ54BnkgKeGA534EndgWdqBp14HnUgidGCZz4KnNgucqDJx4NnFg6cKD5v4Qm9hGbqEpt4Tm0hSbGFZroWmrheaiGJpYZmiMQPxXI8FyCAa8QQeC93fkUeE8N8oA1fABH4noeCUnYt8IqPhPTjA/u4iMoGJKcwfuMfOjYio8E9D4AeP4P4gA/jzeFFeJcYIwROIoOBSo4EsM6SlGgH8Sx/RAe6RUcSlRgMuXhGeJQPyQtYeYRUYSrxgrxVJICLEiR/tAccRUY6r5IRXH/IyJckJHOvIqI9Yy5IoECkwD8QbTo2ETAe0CUCWJRrkhqU0xAH5Ex/lZHOQMrpTkReRH2WkolRx0XgOBsbJCKKQIuvCJcvgDzAItMNlRFFFTCmRLVmkgZgzOZ7NAP48A/y9kvLaLEwZckQclN6VrFpCkTZYB+UCiJRylc7OMh8654Shm/NWLE8JNxBIk0cfkqZFSinBJln88iHDjH+P598fqBT4iXH0f4gxwh3k4RMYdCQDzCIFKuh0gg/x3HuDeipEmBD/AHF4f4vxAD/H7KOL0/x7gnpGRFflJlfDAA+MAAgAVlMmpOD8fAAxwAfHvHibMqGfunjqoGnqgY7K4HuEemZEFENAGA99UdTaeJyGAuSbDSn9v8rCfusZUKyn+rOgOtKVK11qramSt5E5XmcrmcCuMba71yryqGvZDq6mWr+ZOwJyK+pvsKpmw9iLEqdsXYyxqjbHq7sisiyazbKkFsGY+zJjbNnQsvZiz9oLQkDs6dK0dpLTzos/aUy9qV/WntYYa2JmrXWzMHbY8FqbcHitrb23VvrYXAtHbs0FwrQ3EL7cg0dxrV3MsvcovN0D4W/upcG6tw7nWVukfK7Nk7tmpu7ZG75cbxmsvDY+8pbTEDxraYiHhCZ4UJb8QZJw8A+RbSVMW+ZBr4rVXmPMgl9b7tDmgACoxAr+gAaLQhr4AL7X4SZNABkhCCX9A4vq+LwxwM1rARNRWFCBrziTSvBBA6FSiq+TnBldIhSkITiID5KV54nkviknDrl5tqILJYg2HFiA8B8wApJe2dsCiyDgf8gqLzLjnIIf4z2c5JoSpUcI+A/0XKGyaHuISBq+YBjzHaWMf5BRNNCJQAx+AgB5RkAA/6MqVmiyZnMOsptGHwH7NpQ8vYvy7gbHeW2aZiABkDIRzsPKvHhEgAAEKhAAD8A8QCr2djgV8HwAI4GcJ6HCPBX2NiZD4AxgfN2fZCYcx7oIPGZDjYeUEOAIA+MLiDHADDIIAVjaTV8DjS7QKfDBHgPACGECNZ3wPjROYf5IZdUjENeGYDl36aNpQDwBxBjAHxkEA9F9JjwDhkEYciafDD1/gMoE3NirAm5Pue5B8rOKXjoAol7kpaUyDtUfgHgHAPkTlYi+18qM0wVuLDe8CaNNEfGIeAcYxDBEPQrdu6WAs0eCDwBwHg/jPyeP4DwOA+KV0QHwD97CnGIqG53f29t8b6xqRceGj5H8A2yPDgeet5gHHgEAPFOQA0KpxscYa1VaAPHwHgDwEAPZoAAP4DAOOc6jvsB8AGnjtxPAeyYfHIBDjBH4BwDygdjx90cB8fCgnhDDHC7jghM411dToCB94AIkrmIuIPTukduA+AAAynmjgIBwDgD/E48NUvc6nNAB7uOn9Z62Bzr03NrdhqvPeiSt+06fWMMAQI8AcACAOMAMAfAPAGVe7jmwMAf62HgGBeQAAgq+B4AAOAYL5YOHwDwBnlfCkSH7HdYg8IkiHED4vBScx/jBdwH7qHZEpeT8IS7KIg/jA8AeAfzPoAP+jTztIA+vggz/ADr4OAPAAjwCD7PTmhORkUlmIDXyitqawA4ohpogdZqKABtpKQhxw7qJ/1H4ocDkD6jq7+JfjtAcLe4B7TYQaJIAbfbNYeCUp07SgHAH7QooYvZo4A7rLTkCoQIfAHAHhRDubcRRQB6i6bgf4Q7b4pBp7+kAMDwPkAhujfTrcBKH8BiRK+wB6H6+TS8D4P8Cw6qvAA7fTSkDsD7IIb5bzbLDYHwD6UsFEJgfooqLzsbegB7ugPD16RBeQYbrYD7s7NAH77ZcrkAcBYyK4cDbi/bQxBbNb6kK4AAcDVLajOzakK5Y0KIYcObYTYbnUK8LIHDPyRIAcLz+MMJnb7ZXznMM6fDTYOENgoovZ3DSCoTfxJzwb7Dt4fAA7P0PR3DqQlwfaf5QLKrIKIwPEQSRCiMBYDAH74yI0Mb4wAAPCQUNDTUNcIItQihOgD4QAAbKrR5JxnbPztB3D1bRBOTmL/woAQahQAL6DO76bwQHBXKRIQcVsV4cAMJncEzWbSYMKfD8DMoiZtQYAYLXzkCnabgQCPjqIeAGBeQQCUoi6hQQ5Xwojn4B8LEdKdkakayiIYLWCWQcEU0LDcRnYcKfxKUcbVYiToDkQgb0RpBqTKbFYggfzEAnIYIfwBydjcTkCoTB5OSVUgUEL6ENTR4QcPabkPae8PbO8hwjaO4toYAPDfMQq+wDwAIYEnRV8BbzsHUBslID4Q7WUlrfpKUmEEL9IjrYwtDyjA0kDrrBwPhcxYjzoAEq0BrX75AQ5W8lpprsrSj5o70p0XQrJ3AH8qUnSpzPBSpYjw7pLAz8ErzxDK6bksZk0PqsUs4tp8gQIQ4Q7egBCoRcqJhM7RJcsLD1MEseAi4Q6bkFDrJasUMsxaktArDKMi4fwBhUiiBRJV5p4gpqYhZjMNojbZwuif6zg4s1S281z3C6Y38163M2k2S7g4SIa0y664686xq9I1836xc4JAE4axM4o2U46w85JBE5aws5o2s56vo0Jg5/YvaMQgqMk66aBPpjwg8JQgQd58QiYfoT4gs74g08If88agwhofbjAgir89c9qSIiYeZg4falIf5OTjAfwgSMof8+k8QgZS884opSE/4g9A4grLC6Iigc4e8hQfwJ7sYfwCYfgHAOIBgH4BhapiYD4YYQ4R4Q4YwJ4fgEopB5FBQg1BjCq5IjAfobgfLAAP4fgPIf4WYXgMYT6MVAYfYHYd4e4eIe4fAfNFShIhFFwgc/S5YiofoH4edI4P4fofgf4U4fgec84P9AYfQP9IQeYfYfcKdBAiVJtB4itKwe8KYP4fKMQT4foe9LdAdI9IQe4fYedMgolFgh9M82c8of4c9K1Ns/gX9OIT4cNLggc8c/VO1PApNPk79Bk8Zg8/NGFJ5uk/k/QP9Q1OQB1RVAlRoe9O5iFMoi9Ez4wPgE6K4WYP4BIf4TAP9P03IikKc9tANTlOITwP9UE9gf9UVO861Ms/4eNCIfIfDAAb4fwPwPwHgf4P1WVS9Wof5iFNqMVTtXdXtRk9lUdR9JE/4edO4fIfdI4b9KwP1ZdXlWa8FTDAE/lN1XIe4Tk/lH9blO9d1Ydale4edK1cwf4PrJJKVda8lGIf4fNNgflK1bCHE+phk/Qe9CNclK1fNUYfoeYec/4b8KcKYX5V9ga8wyKZYONCwGJkweAOYR7nIc5UgeYY4YAB4eYQIYMA4ONb9fQftCNjNI8c1X9aQirYymogcKBXKIc3czImk/8/9UYfgc4c9jM/VM9aNJw1FpNfQfwZ9flAVjdAtj69Q11qtUdq9rNjRrM/4X9rs4Q1dsBhgL4fNcqMQHwP4X1TltE41tRzr7Zo55IMcfDJADgPwTwH9us5Vu4g5YBfkelntqY0tPgh1wc51woiFx86VtU3DEtxc303q5tzS586YhZo7Lhhsh6YdI5zggk+r7YcEDQcCoaKBOkqwPCJKkpFU7og10ogVUtAggVs8/gcdMYgQR4eYb9L9a6kR9E8tJdgwgl3NX13dTYcN34f4V94V4gH4X95hGAik+F215Ygs+tnoP4ct6IM96gd4fwX9650gik/DJIeIfAcwOIfNSlagf7AFI5rahNTYc18d8ofwb99Iok9IgiHAiFoIq4vdCIfAYdjAeIGAfISYf4SN+gRgH4dlL4gYbwPc/l/dMgO9/oZ+AAmll4g+AU+U7RXNWYfwGY3YjFPFNweYRwPIPgfwPl+gX96wX8+obuDQP4c4PcKYf1ZM9gfwd+EImdxohpsYd9A+FN2+A4jFcVOIbwPFZc/hhlTlAWHSimHuH6hOIV8wc+IwmWJAhmJU+NWYftPWJ4irAAfmKVHFgF+hKVLk+ob+LYc4XeIFcuIYeeMQmOMgheJU62NGNQqgyTKwfwfYe4b1HAHqlJhhfhUc+obYW8/gc4TdjePd82Pt7Al0/4ZlEJo4X5mrjF+YgVHEos8VjCKZSpjwfNiY3wjAY+RORdHAHeR5mgP13Qf+SmSwbb3bKMJV8wfOP2Twf4dAR4d4fdCilIfwCAf+FYDBXIMVTk9uZQcIT8/QfmM+WGNeNgf4O+RYPAf4HOXAf9uN5tX+K4c4db3ZrOYQfwfuYols/4cdIVcjAGUYPmNNZ5XIJ4H4b+a0/QZ9h4e53APebuQwjGZWcGcQf+RwH4e9sxOVhudeduRNjOIYfmeYlk/9CNUYe9I9Q2eIf2kpXOgAb88OhmhlO4gUUeFgiuhgV+cWGmK1sxKVhoa+S1POjFRV8xSGTuelblcNNalM/WIBaOnGlVRtRtJmhI4YjAc8/WmeRgPgPwPgP+iVTgT4Z4e89ur2ned1H2IeoAnE/+e9QNjk/TTpYAH4d+Is8UUYB8/TTGl2p8cgigdBSob4YIZwEJoDRQHylanBdk8Qd91QYIfZ3EnoHzRTnMtcvghus9O+t9jjAFJs0s/k8Zj2ZWe2gZugPuu8mQis9YuGycKYc9jlI90s7LJNIRXNIQZ+hlYVKumAjO0otu04b+ooX+1alk/ggQH7jG2Ae+2U/W2mzObwjGEotOydNWkUKdHFNm4Ib4fVRZ52lhROJ2hQjW5gtGyc/9R+UYfmGuGpXIL4D+608QZ4b4R+NNPJeMiO5SNtywq9l8lZSBeROgfznYAAPpnQMFKhPaOocYfiIxfTUSWA8+QtkA8PBlrw8lyZCQ8/CW2w780/CC63DS7FzgiDjBLB5DiQh9fDAgic7LNpLCK+Aig6YjD2ObKR6lAF3YhlJuQB0FWtLYgs8JXO7wgnGvEtMwZ+JHHfGYhfH7DoiU/FPk88JQZ/Hl3dI8/+WAf2DTwAgU+IqfFc2wiNCKHRnYfimUJQCZORkwP8jwQwP4DNKKRYTYfAY7RNC4q7dog++XDPE13YfC9lZQPPJ4dmzYY/JogQeYdd+vKVHAn+oMjHJ4ggQpWEy20aXXKBqdjXFZS4dIgWrmt89oc+y8/+2vRAhm1uAVPVKFtKYt51fr3fJ86wT+gNYWqVX+8O1onvRLE3RYgfUnHstIjFBQX9jFrW4E/c8YfHVuw9Rc/QBe8PYPWl3E7MJVBgb2Hs/dfFPQffXWWPU6lJOlAVTfGc8YQ4D+gKe2glZE/58gn8doYYYYeIR4cwF4fkcIgQCQPwDPMoQnXFJl5JCFn93ZiAb/bvYSlPYt5vf9O9pQodhwXNQIeFNd0ofgPFG0/YDzPAA/au3AsIyXXtJtjXUVXwH/gZiGZWqXZQoBhlL1alMN6OV6j8/YP5LFPQe/i/ffbN3lrXjs8YP/Yu3ZgwfeZU/+7YnRhl0tbt29eFs0/lA/mF79ynmgfljNhJXOYSlPcId+rogQcdcIcaMVQfUE/QfwC9O7DleAYWZtUFPQc/pfjAjCHXOAOBXwfwGJRAd7qAH4TgA8DQac+IeIZAealYHAfzJHrof9YulpcljFZuZoADrviq0nBPbAjRea+JpogSTaSyJKUJfnxwmNh1e0/V0tjGGeZoglPQd9YVyA1HzmrultMlN30IX/WcKbK3q1u31Fnu3dUn1gfwPNs32CS9AXEnpg0uy89gY9e9MlhIPvSbJM8P2PbnUw0ofNlwB4c774cAejkQfwGQDyJYZwH4RxRCHi9jzv540TDiZLdwgXzJoy14gXOtwg9v4H94mSJovP032g9X+3+VzPDf/Y4TyggD/gUDgkFg0HhEJhULhkNf7gh0RiUTikVi0XjEZjUDiEVfx/f4/f6/f7fgbvjcplUrlktiMdij5T78b7+Z7/M8DWb/e8DfcuoFBoVDhMwib3Z75d79c7+ecDPL+C8DBdEq1XrEao0Sc7nfbnf9Pn8Cfk8n1ZtFptUIrcRd73fbzfb7fr9gT+f1mgVjtd9v1WtsRuFyul2f94vT/vl/xmNlWBh1wub9fOGvJ/nt7x0eD8IfmdzdoyENe9we79ukCu2Ys+hiV5zMGk2urGjhlvfen1L/1exxe0hewhGz4FE20Lb+m1D9fAAPr/zD+AAf3/FhHCg/E61B48KX/KunN5/R6fV7cF7Gy89C7sJzFxymGsuszXr67/YAPYLwYwHf5PpK+ygPag7YLmfLKruj7fQFAqzKWegxnwMcAwalkCIMn7JH3BLDvS80BOE055nzEkKwsx6LJ63J8n2fh8ruPzExA+zhLkeZ+tPE8UI3DCCpRFh5n4sZ/D5GceIG4S4yEe68u1JCMR8gjknwZ5+Dufw5oGHMjyg4R8tKfxwABHcoIvKSBmAA5+B+fwPn8B6BkO6SQH+6cvLMpkmpRMszIrNE/I8sx+HfJiBSfQKJ0BRLXrMm1DT7RiHUXSSGuEfwvnqeJ9ydSqKUpTyFLzFs3HsA5+rLRFQoVUFVwcfgBpCnp/VjVVXIPVtboIvKBh+2NI10gtc2Cw6CV9KdiVZZKMzcu76MO0FloNYdpQXaSGWpZZgB+QFroXbNvXCtlxXIl1wXLctz3RcVWpukVoH+fk6pC695oFAF1wtRaPztel4s7eS73eg1+IJfF8wFRc2Ohf0K3mkkCzqw2D4Q9dFn7AF7YcgeIIUw2KwbRZ9mfXlkYYgWOoTj+QPtRZ5qbg0AmfOpzl+n8YLKf8+JHlab1+4GUoJgKN5y4tFnOe54AGfAfn4E8AgnOpEl+ch/nMD54huYZDngP5DCOcABs+fwJnwZLz6Cgeho0emNNDUFeF+fB4pKfw8zqHxfk+H5vk+c5jn2HboHLHFDn4qIeMc/KD7SgeNPzn6BHgAG3IFmbrbhlB8nwktUJAj4fh+T5fm+b5zn0kA/nHDpv1Qf0ZMbkqI409KCHub/KpLxrHcykcXc7fiPl+P/SpKe8YOgc5+MMb589f2S/eghvaMT23cOHijXd6X55yc1dil8P5nmDAKxj/5XmRgP3pLXXl54Gm6brAgQ8vRRyQLH286p7+aS+y28jDcXJklJ+SAsovgAAPHgD8kj5n0KHJ++sxxeRGCfECMAfgT2mD+Bk2Qf4GE6hiD8A8Q5dx/iAAePgT4iBwkCduHgPgERkD/ESQMT6tjGvbMyN+ApvB/i+htA0gTqnlqHKfBJ2I/xxjvHehwp4vx+RRfqH5OoT4GJ8RsOccYHSButH+D0HwfwfB8gS6RzEAWUFjda8EkadRnkmfMOMuqh3nRIMYXlpBpkYC/H6P51zBXRDfiwWYc7LxOxdLyDyMQf13xmaNGh3yh4+ufD+L8kQvx3xwiG6t9Lz4Js6NKaUuwv3nR9ior10pszhRNHeL2RAfkjRAYhI44D2x+JOii590MN4bm4iG4RXg34omIiSbiURI0YIwD+nEgQPxnjvXwcIpMrYuj/D8WUXh/2UQ4MYqBpQ8AAj+Dgc0fwMTQAcEeMcD4pwPjzEeflsI5gHzinIDEfAPGBvRlAPuJkoyfnND+MBx0TGIHCGAAGaihx/g8LsLwAAHIyzcL+tk/xAhBkDfIRAfAf6NkEfnRUf8JTNl5LeUopZIyxLOiGW9d5wiTUJQCL0ssrmOUSL8uoib/Ti0kNOcmUcyXHTNOSnWVbOqaIBEzAcgktDaU4K4eeng/afTIH+jB75ISa1EkJUaao215SnUO7uHJf6dHAp4XkuZI5bpGSMnUD4nx9JJMUWGflRyTDLH7GGBlYYzl+fIds/Igxhj+aaOOcA/gcWID7IpeIRmmppAePkcY+BxiHE5AZWI5x+iBH+I5d453c1jL8t1CycE5D/ovX8f48IfNCA+Z8g9Jx/2qeRI9lhK2Vm3tyxa25K0aHZt2eepzCLfmyuCdu4a+QAkRH5CmfNvLekpuWQ4fABx4LRZbdG7SuLt3dI5d671OCbkEKeRGHA97Q3gJbeIgt5SDWcPUQi9Fx71IXIsMC7BBbxkjLCgW59CnK3oGLfU4yKr9neIS+yoJBr54EKGose9ZSEVivoycguDcHHcRVe7BBCMK4BD/hXDJGcIIwaa4IZw/A8QjHwMBOlF0YAYXeOA/wPx4QtX+c0f44R8DOXfhg+2Ik/YQH6PAY4+Ahj8IgHcH47x/CMkrXMYwHxrmgLtkYfwzJqh/H8BgfgcTZwoyEStyJBrQiFTTelHmRJColHyWUJ7OnQRCF+M/Oxqh/yFH8wck2XEihzNmPbEJWcykFtCx8ft/8hoqH7E1m5eSRZOkrnSTKfC7DnecvPPsiXbkC0FmMlWhSCaHIGP2sSSMiFLLK+bOQf3R1zybILPGmHZZ9IELzTo/9P6EIZqQvep816MoOP8B95SQZOd1XMP+lc8DPj6sgP4/AAA81yIAD+oCUwoHGMOjY5wH2wH+PgAI/AfAYoFazPBe3/6LIrT0gTSIh5y2TAXZkPtna1OgXYfmuRzWtKuisXI8R3j0eUGFxxeRfZQAYH4ACpyfU2X1oxPlaWGaS1eT+TGsofWa3xlxeO/N/FWJ66gng80cW1dSL6BkjN0k84gyFFRSieGo3jxbSnGtLqc2gXnfZs9+7YI2T15BpeKbxD+H4kWruWj3Z2ozCBuUcxzD/scf3KohKH0sTznWWzoa459yEoiKyBB3Lg0VhgvoqO4Nmx/pinsIFeRKPEfx885UCjeWOXueCv74dGL/anX+gEa7EPwA5cB/0gJAL4j43gAAe4ax8cEzFJKLvx4Qeh/ml7jAA7C6507WAHouQ9NYH2wkCoAtsYAeA4jHIFv1xe/65jx6JEqoI3C8jeIIx8d+Et2EtwURkdxaexFv8Nygf43fFrz91qLVBQPfoo+H0RHW8XnA/G98rcLxPmbBJd89C3YnTGDY+SAdeewfvEzw5yHnbvnKSTAT8c/hS4t0Xu6of1Am9fpgJ+wl111GPCD8h4AYhghwPLs0kmiBFtiBIUG6ADqBFKrklvQECDsOQIMRiEwJsGFXQIlrtkCDveFEwOFpQPCDOmwLQLiDFYB8PJFkwRQULoQUBgE7lyQXQXrkQbF8l2l/Fmm1wcQbiPCQEyF3rYQewfLbCKGFiQGBjZk6tgLiwjMNCKmMMLKFGTwnQoC1GRGSL4wmiFwnwsL1iLGXnZEACTHLr+KqOeDWnLB/sDo7tFCDQWFlmjmkmlmmmniTGol4nKAHAPhDA/gMgfh5pmE1BwB4AhgJoPKRr8iEQ5QWpIG5G6Cam7mUB/h2CUBfhjwzDNHuh9A8nDjQvvOKlwntnNnOmhiSB0l7pnomDNHnM3lURQtemdRSRIHfo1wun5pen+ifi6nnA9mCokiFtjxaiLm4nunOwrRaIVJBCYCfkXifg9wqC/i8iPkcmGiURiFvHtoBv1wuiUBDgPpBB8DQCfh/K0g4HKKRsdhPgIBhoMhxhwh4hJsdQTRHxjGUIdoer+RMO8uJjDg5kYA7jXFeBnhjAMkSi6RQRtFrnto1JJxKiUJAiUDMixg7nnQvisleB3hngenjyFHvx7FiSHJJGCiSRspejkj6taLapPmdBvg+jdC6yQxiiLG4pbiSpcqFRMRxSODMjDBXh9M3xpp9B+AXyYSZOpRaRtiMJvpwpxgAJyjQB3gPgAAfhOADgDhDhprxh+G6Bnh9gDrERZBxo3g+iljCyaSmCUqQPQrVqMG1DQLTP1vDxZJnyYS0SZxRy1jGS6SCQ2pMyYjlylSRFgwaiFmbKzD/zAyky1SGjHTEjaEnBHyYDJjKi7NIyai/LrhwM1C1KSABhDgOB+BxslB4A8A/rLzCldTDiivSTPC0i8mui7p5vJBhylzHrvRRCBTVlbzWiCAAEyKoCHTewNrwFmiGRHSRwwTNTmR7znQ5zoFpTfzpQszqzniUuXzrjar7gBhhxDAHkxh+AvztoACKhvg9ivB+lNlOzyneCLT0B5jTkhz2z3Juz4A9kwI+udTtFAtgCLwQCHUAwwzzz8ilxzz6liHdqO0ACMBJzuUCh+N7p+FgEzPXiCqxGNBAKQCFCQPeQHkHEt0ICKsuAvz9iUT+kaiKGNNcHpiEwiq5CBkjCrlKMuAflUQV0Kk8CJ0WPtt4sPHcnZKwMCiLQlB+AA0KUUj1zdtDCC0WxZiEB9w4UhTYEeiLnUi7UklQoKAPoLiQmmB/hnB/zbqQA4tiKRNcNttutvk3jOhnoyS6nugYE60pAMhjiPhjhhhxrrLpjoUqitUrt8q50dEkC8h1hHomh8TbooAYB+AYh/gPE6rHJMNbi4BZuBOCHDh+RgA4OpizBGAfhXF3h9hfhHAZh4hDi4B9BxzZAAAfSiEB1AtBz+Uts8mkEWJkHliyqwSJiyB/uSB7uTEEDeJb1PCetXBPl8B7hPhHT0z5EOHnK5U/sSVZUs0ElGKeJQqfo/HXljJU1fOhjJDVD5iQVjhvpHHbhPCvjcjJmSjL0aVqjFVrlEqeT5LNKqDVmBpnJoVfSLOyiBBujDVyiP1zjZikV1B3v3i6V3VYFzV41aFPKeCfqTnuNwnKLVNlh3mINVl4v5S6gAnkWBndDZvI11NnDJNnnJ1X1pkoiLB4IUrrTwgANpVajcJ+qUVBnOKVh7whvYvZzSg+tWQEWCiT11HW2UWGWWEzzjpQC7EdJSKqqVCQi3k62OPiGbjCt41zJaB72EEc120Y14TdWmqp2oKrGTm+GC2rPpTB2tDoWiHjWEV2WFkknYDAWmC32OGeB/jnq2qhK41+iS1bkcHji8nhizBf3EjZhvh511DCC5NnkY0Rrtqzl4onu5n1g+Ghgvgf2dF4q5v4jBkSHyIqHRiehnoGDiXGkONMBhjUvziBAM3JrtLArBk2gPoBrlgAB+rph8A4N/BwAPwAwBwCk1gGA/rOBgAfSrBwk4E4h/ADhAgHAcDPh+AMRDITrT2xToPAvuXuTlzpSMkzTqFl3xEoXyFkzhTWT7TjX2FQ30X3VY34wTiLnyQhmAWlX51AQgB/gImGwmRKiLz/39LviKwkiC4AQ0CLYB4CCHiLQpmNYE4GMJ4GiGwtHpYJCMYJ39GXBzmlUwCTQzHPnKAHhfoWsZGimmBmEKBvh4h4VFNpX8zFP+CKGkG4h/Ccw8wuh3Q/A/hop2pmB4BnhxAQh/gTo+h/Ia4NigUfCFGdiYXgwQxIVhxJwuh0GURNQ2iBiugGEX4kHE4liXYmiEmdt+i90BmExbFUyIL+McBPxWGdumBfEXYkEZYwiW4xiEGdmSi44pR8HfHvRlRdJBBxnbB3451uDEY7iWY8rY2wkOY/SbGURuqryTtwyeiYXoZDkm4kXDDGNtB701ptCBAHh4hOCwh+A+AfU5wZ4+OzXzxIR9RlRwO8l8PZZN5E5PC/kVhlhwhHh6ATh+ODF4gZh8BkA/oZpKhRMmoTyxCfUmQf5JWcRkxviRx/N345Hu5O4FC+kViRYPDTranNhxgfowpKhH1KAAAB4+ZoK+5pTIxcSIiQyUjMmkZDlOZt5FsyPsuSjJtSilHh6Au8oTC952wjlBKqHgZqtXJBSVQ245Y6C8ZdC/OhIXC4XPDeClIgDoXFY95n5I6EIoEnB/UGHSyeJBBnjMh3hj5DjKaSDEVz5dq53oOymBhg6NCStJuNFi6C6QFPgBrDgAKAABjQBwPHAfmtvQBoDQB8A4hBhHAfZ13pp8QFaKWfPDZCl4geilJXHcaOk7Z16PlA34D7PovijVDKB3ps6vHSaPC93uqmrwazOoa0acBP6daPE2DdvertvwW2a36NJK68K5a9OnLwV2GdBjvxDVEEWNAfAfurDkjMueA/4+6xrwLq3hwCQDDDgOAYBxhHlu6ngHoFJmMaHOPI6fTy6MbLi1hAX1FpSW7Wi1Tglwv6bDX3QK6+YKvm7eXxwbExw4TsMRwZRGTp7fbfzs4tbkW70isLCcgb7mbmiKBwg/h4qiHuxpbpMH1ZZn7Zbt0CUSGTi6u57wD2bujeI+5X7zCV0amTjKpib2bw0VmTjC6Db5FJ70b7b8b50eb67yb+L7bnU6cAcAkU8BiBTL778DCi70cFcGCU73E68H8IX97xCQIoJS8K8Lb6CQLX58cN1qcBk4Esh/AZ8Q2Wk/rrFYzaticUWl8XrRcYqJ8Zz78aqb8b8ccci16yca8e8Z8f8Y8g8X8h8Uci8Q8j8N8k8Krh5G8iSbM1UOcdlpiLGFsE7o8plxwpN1nbcs8tCKGRiF8ncjQxBzhDooCRLLr98x8kCLGkBzBjssBi8TCB82clCMBxifi5TL868vLuCLo5DFDUmS87cmc8NVi6DF9C8IFQHlB/gBjTqAIXc/cqUAB+B8OoFf9F8GFQTSvxdFdKFhc8WvkcdQdQ4CiLBwilVoGV9N8DFQByBxh7zShyu6Hq9QlQJ5B8AMB/gGjpC7x1dT4HUGtS9hcviKqda4cfCMdk9jc/83CCbv9nFQLSDDlY9ndRdsX5dtb+9ucI9vdu9wcRdxdv9ydy9zcOd0cYCM7hdjF9iQX7CyX8CI6s8yCPCRDOwl0fz/kic28txp4MwvaCdDCKh9iawuYAiFd+87iKh5wSJqxleBaeeCCKDS4PiRQyvD4Rg/w+4TsbE+B8Adk2Jwbl9XiLC3m4h8ODCagYwuh2BnoSsqyyiBB4hFh8QEVHdGYpv1F4wuxVCRs7RWuS15Kq7175SHY1yTM8l7pBGdiveiOt+TY/mbHvelE+Je96omh/hdq0WG7wRuEyYMiUXgxxl3ywFaVW4ZX4odIIZZqQ5aoIdMHa8AySZqZ5G9NZE+Imi4eu+depyH+rZ56G6VV2e+9ORINnphfA6GJMjMhx+HRkKr+6RIbyiagco3NZBOSes7h/h4h1h5qLgfC8e1X3FQGw+SAAqABBjQB4ajhghD6lDQXrA8deFu0+/J91dx/ciLcl+/fd/eff91/glFC+7a8gfhk//kFP/lfifmCX/nfn/oYLfpfpiKqOjOk4qRUxjE968vFFh4hHh8B3h+Az86XYy6iBBifSej83NMLNEhC+A+B/csD/928hc3DTZ/EFDE3E9KFKCAPd9vN9vt+v1/v9/P5/veEwlfw+JROKRWLReMRmNRuOR2PR+QRNwSGEwKCv18wh/vx/n+HQ+IySZTOaTWbTeMyOSPeBPd+waEwiXRKYzijUekUmbzqQu+ez+VUKXwk/0qrVesVmH0yQN+nwZ8AA+y17v4AB+GVq1Wu2SGuR9P19+2Gxy6zB+WW29Xu+VuZD+5UGyQ9833DYes2+Ov6XSeUwmGUOEvPEZXLTjFRx8Q2CvnHwrGVNj5fSaWQZmN5R7wTPYXQZJ/o/TbPaRfURpzv99vd8vN+a5/HyGw8P7XjcfbxlnwJjv15v5xw88cOFD+i8fsZfkxhgAd+WgHv4Dw9B2aq2Yf9n1Zbt+v3e/bfD5fOc/T7feE+38fvZ/r+P+9kAQE5EBwK/sDQQ7UEwWw7/QZB6jwdCEJprCUKQut0MQ0pMLQ3DyMQ6iZnn+9KFOKfiqoTEqKMYiZPw+98QoUqoARIhLvpXFJ/RWicWolF8YPXGR+PSqsVm+qiYItHyVSBILsxkfsXxSh8kJbJSMpVJ8hJIfZnrSiUrSo66LS1LcoJIeZzzAf8XyQZ8UnOX59n+wq8nemEzRGqcztLGRznueABnwH5+BOf8kAnFJEl+ch/nMD54huYZDngP5DCOcABu+fwJnwZM+wOmS0l+fB40Qfw8xSHxfk+H5vk+c5jn2HaWnKeaVG+fg8n8HlQtNGTIIgfLNm+fsURmH4fk+X5vm+c59KqP5xs/Yx+H8P1fz8mdSH2lljRaxhfj/Z1EN4qhzn5XJ82xNltMRYKFIg59EKFeRfD+Z5g0Q3V0XUhJvsKP13Xew141IeEam/OiqpYXwAAeeDrX6lt01zOmB4LANRogl+FyuhBfIfZmKWnf9EMpjONXhbiITpetwn/caEmfJGX2mg+AXZlWV4NluZZfcDzj+X70l+d+bKpal13bnsG5+X9r0QflkR3ZZnk+b6nZvW6011a+Cactl40EeAAn8OCwn8GLin+DhHmOD5Tg+eZHmAB9NHM8O0gBtZ8B5HmxbGnDxoSQaH32kZ8D/xaJNyf/Cn+Q/BZ8w3H8pja+8vzGWctznMr5ffP86vpAdH0nTw3ePUvx1fWPt13Xvn2PZPh2navd2/cPV3Xdux3uaImyiOysi0qd806kxGiXhopw6KeKih7j+eHkQykJgcCiXl5kf/mokfwQorJHjof6Zx+16z6pCe/uIxMnwIx8qS3zJ31I3GR782i/4IevLxiKvTG++5+76yQGrI2/0wRF35kNKqniAr+CdmFPSrUZw/GBgPHwc8AAf3DkIAwiUcB4wfjwZed8sJDR8DORS9Mf8EIIwGI+T4fAzx+BDH8CAf6qh3j+GY91Og8g/jRbaQgfATx/DhSqlcTI/AyExEAA9fkMYZEeJ8Tw5zVB/hnheYxoi/WsDHSsQgeKazZMAJaQsfgcUrD2Kq9GKhFX8kIIKQYhkUoetEIinQX4zxnwQIQQIfzbV+B/IYHwe8bSqwKjifknY/U8GbZeemPLJI+NIkBC9GcS0Uj8kSQmNyV5GkWjmOAAKRGbxdURHslsmDBDvH6mx8g/AAA8k+P8ey8pRykkelZQCSYeyrX6H+Vw/yEDPlimElpCJPJWLOmaXZEo5wQIHMAxklkSTFIQOeZMnCWTNISOZ700Y5SPTwT6VMeRfysaO1owQ512TKkMSuW84n9zkH+/k3ZDSUEtge1adjNZMyCnkYycCjx/wEnw/kc6uB5jxaoH+f4jFyMfVhO6Yz3hxyyZk0UXk9U2wwnxPkkgwAPj4AGPQA4/lBynAAH6JQ4APlnHAD8A7z4Rj4bwAMhJYQ/iAB+IAHAcTR0IijSMvxSWwk1HdUgkRSqlk0qbU6pJSKo1UKXVCrBV3gU9kJVtCNYEY1idzWRLlZk0Vod/WqtdbDjVdrcZiuJtXVojRLINHNcyaIyRajVEqOFkV6JkkNIqNo0SikYQll9gppEkSlKKJdiCM2LsZI4kKXmCJiIhZOytjSQpqTYm6hKKSYi/MKQx/9lER0KrQn9QKg1CqHUSw2DoDgPiGD+BkH484pD/O6OAeAQwJqdr0wciCplUKqs2OxPAv4xUJsU94fw+g8q7uK1BYi9bAkRHSQkT8fx3zUTqP4fK6n/1uuM0Bb8sbSD/ce1kd7l06EHXYHtH16GoL0WNZKSN8CmJ0N+nQPdkK2XpF+wlRDDLNp4EOB9rQ+G2p0H8QUf4cIO1zwMx7BT3bm3wk0v0fwczCh3sFgZoN7MFokw8S9l4d12WUvwxxoDAMUYcJbfAr10b3LsNdhhqDUmvopSRc3Bw7zlwLFePq8uBK1NkAG2ZtDam2EJHfTMH4nADgHEONN5Y/FTjPH3SsHF1ybuReeP96pCXRErbaP6KTH3IZkMRnDEplk52VrgSDO9jM8keHgB8cEDcmmVploHPlnUFF8AAjXRFltGtP0fpDSJfc+6TI1pXSyINMl80xpucpRre6e009gAYw7gN4b6DPUUVXiB7HOQYgg/jf6r1GV0PZlCDj7H8sfWh8SQjfD2Pkn2EyGVX1WjLYA+ZYbEl1r0imyA9j82WPtPF59nVVJBIZcG1KM7XqeSSQwf1j06Ypt7bBH0jD8ADtxPm5lgrSH4AfblIt3EyWlHSw+5tHbZmWbohj6dnbv37rq+++uBbi39tbeu4OB3k2NqJGQ8INAH4kOAAEKd9b74yUbTvAeNoc4+UjjuveR605LsfkNYeU1y5XVnlpNuT8Q5fzDmaFSaV2MgifQXMiQ19sNYDnenrCJXSOkl7pMrE1OSilMidmujkk6TUhGVmHodG6i+/AqaU1o/X4nCzbMrTkrIkD/CabXzdPrNa5QShFDL8UUSu2tt7c27t6PAZ4iAwj+BOPEeCn5adB6k1C5A31U3tuYzK573BzjjAYb+WKve0VkwNdla17buptvBDB/QnlvePWz1ehbUFvMwvbe9rTmx7jvF9rrx5DPQTkwNfpe2Nh8X+IeP4C/qvWEL9d1nGWB2FYbIjgzIuECExl9UWX1vkaxYZYB8KTSrZ3QQUB8nXfvPmVgxNjRH3w8VTuJf9X1f1yF/Zq39v0mKQ/44Jecv3X5Pe6D9/kCiMaMiNayPC8Y/qiD6y/Kjg+aJmbKbOb4bWbayqAAyuyyy2eWHuECGGEcD8DibQDwcAGc4AqoduzMIezSH+zWRwH+UIIePGciiU/k5qsHBQJm5i6FBVBTBcevBgI/BYIS0W0jBo0zBw0tB00nB5BvBkeTCAI8duTe4+SGD+sCi2H+BvCMJIHCD+HiR0OewG424OIe10x64M3slE/64U2vCsmMljC8484YRS/64fBbDKsU/7CbDUN1DZCrC2RSIMm64zDBDpDQ03DAJTDrC1DdD5DzBzDkITEBDaJCWkZkN+13EM34KqLw9ZEY3QjSPCDmH81VDiLc4op4PCik1DD9CEI5B80fFE0bFI0RFMs7FQzxFAI7FU0PFYglFg0vFlFnFo1rFs0/FxFzF02+JA4KIqqLC+JISIIw9w4WJAseIw3a5MS6tYIlGW5Qs+NyIiaMugJLGOI+UAUwHwGOH8CYD8Am7O28XiVue8HyHqutGvHGJmWoN0H2JSf/Gg54JIXTHcJ+R9HlDTHoJYAWVww3HzD0JmXSg2J8YShbGwJAXSIEVwT5IBEEJkHGH61fH9GfIQI+HC2UM7CzIdB2JmHIHmHvIioglFI5B6Jmb0HmdMAKH8zGIUwvGEJkNy+MIQcjE+JCc2mhJtISIlJzIsI8c3CzDsJmzWpY5SXidMMhE9KFF42fKZKbKcs9Kg41KdFczrKlKnKYdjAxHW56KqX2r+50I6OjFOJIR2H+OK6Ksks42azkI+sefK6c6iZfECqw6m8I6rLUIxLnFWs+mC6a6sI1L3FegOtfBEtEAOPO7iiUhCHgggHwB2SIbNGsriRkKcVIHwDCVQBi8MGeIiGuOKeWHiEWN2tQBjLbF8WGWKrye68uj6vAJKMo10TrDG8k9EvW+6vcu8a0hg1e39N8x89/NkaExSTaa1LGheToF2IYw2xjLKIgwRLik0pkweRKzApYIZINOBOcZkw0v4ckw8SAYWHxNlJLLq9E+4vaw6+myoN3Nkxg99O2z3OGxsWWa0xyhfJBPdKtPimSyC/U/YISHGHmHeXo9nOa56Ig1lM0RSoEH+E4yKj8+OGWHmcOB8IW8BPMJlAGH+AChSEGbaHgA9ASGCEOy0GgbaH4AwHwAwH+dMADNPKpKvKxF5KrRhKzRkpI0U0ZFLRxRrO1KlR9MpR7SHRkr4KqReNlGDOPEI5IJIHyEeH8S+COH+DGIeEiH/GCGNQxFTHongm4OesWD5GMu9K3R5JuJ7DefiT49fP2I+a2IJDoMgIZTXGYJ2IGJOJU/LTpGifZTgJRTyMGIfTLLJHoMCoyNgcbT4JAOWN2KgMENhA7HmJALjUaLALELILvF/IeJCMBUqKjUCRVTrF8MaIMM+MiT4ftICJCJYJMM9TyNCmVUUI8TpVbVNVgsjUkisN0N4W8OAWzPLFGJIa2N4N9LmOEKmYnVkI6O62kH8DuxCIeFyPMISEdS3L4L+7McmISGGInBNWVRvSLSJKvSDQPKhXJPhSBXFXTXDXZXGJtUGIrF/VTXKMXK85/LCOqSWfLXnXQI9LNLQsiTHX0gXX5BPLc6ZVjYESzUIJAH3LvL+sg6jJ7SFL6sy6M/NJ5YYhnMKPTMORSEGF+MoHCV0HuUoUsEMAOU0RwGeHwzXYMI9MsuPMy8JM2ISAwF+EYVeE+HG3k1UD+HIGGVyH4BiH8FxYpPi8pNWD+WUE+ayWeWiJaaWZ0WuOFXpX8ZdNuaGXGG+IiK8NcD+m4aYZ5ZeI+W6IZOG9cXyRGReZuYsZ0abasMXOeYUSSYcYgUslYYqZOG+ZTLo9gahO6KqZCMgYmZuHHb3b7aPQQxm/TbSYAaTajb2Z3b8mi/RbQRIkWaQZLakURcncVNQZlP6/qoAZkSQIEKoHCHjaEbBc/bLQSW+bWRSA4WbaaOKEOZuHMpWWzZo/LbiI5Q3Q6RrQ+zUEepqFAcYA+iiU0ce4uRqEOb/XgpHB4nvTaL3epRsLZevR/etWCMNKRY1XNXVfDXbXXXdfJfGKOgIe+I1AAIlWshiq7fUIszPVigDCRQyJAeyIue4IjfWMgB6fGyYfoHPeigKfzGcImkYqugagFfal2oYgSIvNpgEgcw+8DT7giTKflftgtekgmRsgsgwzcg2PMg+H+hCPyhIhMRupORqHuhWhagfAykehqhuhyh2mIh8iAH+iFM+MEiOiSk4H+iaDKigilYKlGjmiwN8JYi4jyi+ToawZqMEjKH8jOkKjUDmkVGI6UkfHcjsH+jwXEoCj+MEkEkIfIkOlujdLNi6fYkhBCYokomunYm0k0vufIRvjWjfhnjelMlQmsmEYZjs2Wnklolsjaypj6gOH6l8Jen/kElaowmPD6fImYluLPg69DjemoeGn+/WlYB/jsm4o5fuoOnFk1b/k4n4nTjoX6nakynhlKtQpBlTcrTsIcJ8MKoki6aKoDkmM5lnCRlq3plUgOoaOcogRQn+GYoqTooukyHmo2mUnWB+o+SsnFabkWI+pMpQpUpYHwpcpgnypm0ApspwAOp0U0p6g6qAqEqInCt9gKfurhcoI2qnfwKPnsI1nxm2KNn3MHn1J0Jw+NK5fNoPfLoTfRoVRjfPoaJpnnH1bLXtLBNXoNbKPTYAsOvbL1e7GRYRYC6+IvPfeqI7YdYtLyItpJewI1QHpRo5pHo9Y27XY6X5MRJcD+ttMWhKgghGHAHwDGp5gRACKaLLZlQWuXM6H/h8eWToOeH0BjaHpYI2VJaSu2H/Naj8vCuix4N/gm+1Ns/Se69Nq3q5HvNle3dcaBbOxq+9OKHfOOwAHywFgpNq9/OhMATxOmHfBExAwowtffg89/cCxSEPPAuixCxHpLavcZPm+8+kTwvEH+xcH9CprTsZPlrak1PqaQxYISDOxfsXbldDbO/qxs/XPts8H+ySHxQNX7rUF/QVZpQYndQe/wy6IQEeH2AHQvsuI7eBQ9RBREB/RJRMzbRezhRft8L0zpqmLZubuWLaz3tEL1unucLUpkGBsDjdoQLbBtploXvDofoZXBu7vGJtqHW+I2GA1K1O4tWhEw1s1eOc9ZYnSa1+1vDDNloBS5vw2Eljv3Ei1a2VwA2LwEI42A2lwATxKDou3QH822TxW5vi2yMY3GilSXJ8I43S3WTxvtVFEajoTxv5WvxCYpxJoDEk4RwDwpxUjpwNxaI83vN9xRuoI1xm9ZwbJgJA4kHw4o1RKLxjvLvJRpfFvPyPyHvFyTyRyLodyXyfybvNyhF1XPbJynFxyqtbyNyvFtyy7Ty3yjyJypzBzHydzDyVzOI6EAABJaI4cvwzCSIkqKHgCOSdivLOIfGCIfe0GPiuq+Ivz+Q+RlzXzaI3zeInzjzyPzzqIfzukJz0Ibz5z8KIfH0CQ90HzZJ+IfzggaqKGCGPzsIl0eImGP0kRUkJjaImA/0sdUJkpP01QD0R06ISNHYL1Hzlz5UEfAfT1Z1aJJ1eI70OIl0T1p2L1t0V1wIvGCR51T1ET6WD2Bzd031lGB2MIt1vzz1zVC9v152f1cHwiVLGHgR2GOeyhCB+GYB+TWPSHGcmNHcOD8B4GAMKeyBiGOOiAB1AM2NiBwUKH+A8B+EfG4RQ+MAAHOEOHmB+OiVPBCCPeKD4AOA8DgD+WIPG0CeqaoAOUiH/36YlzuQp2gHwdMwueyA+EeEAA+AgA4AeGQAeHO4kH+HEU2bOAAH4D4D4EADAqCA+BAGONH3yE/f0EeBAA+4l4AbsUybwikAAHIAGHkAfnaPSO75OB54iCAB+GABwPGqAeyHAA541AT6IpN4+Qn5CAQD9hQAN5MEeAMAeACAT3L1KHCcmHADCHwBhRSD4DwH4AQCMA/7b3zST1AEMOKEeAGAf7n6PZRRIGCPGGOHACCHgAchCAYOLZQEeAIA+B+A98yEN4AH/8z7UGGAf1X8r8OEEAf7IQh5CB4B8D+OL5Mwb5My0HOGGTV3uH+HCVMH4DwV6DiH4B51X5MAebjSx1B5MNiAeEOGeGP6OE/+WHH59SwHCHh3H9f4CTaEOEf1X831WE+Adoz9IEeE/+36P+UEf9V9X2+V6/WkGGOGMB94CA/3uGGjKGOVP919+BwH8A4DmgwIAHw8P0eD2OP3+x2Onw+x3+j4aj3HA4gh0e8Ue54S43w8H4f08P2e/4ajh+nx+Hg/DJM/h+nobMYGh5jI3/N5xOZ1O55PZ9P6BQaE/3BQ54H3w/h4f0fLmO4j/D4a42O+HOx3i/3C/Di/hw/w4Z34fg+H6kxqjCoZDogx0e/4pEXjNmPHHjH5NDojCJTBB/Ln/fx+x7MHw5g4an6Ni8ZjcdPqLj6RSofTnBUQeH2fVKtF61XK9YCfYx/ZsyxJvCpDGrbb7jC3iwLTdn4/0cf7050eAcDFME/wDTsLh8Ix0Bj+RyeVPcjjsmOAAD34AAO8H+wMzm6q50BvHG/DG/hjYAO/JcH+x6LSx091KlhLgP7yAAC4LMx3O+Hi+AADOolzdEAP6Uj+lqEEAPgAAMhDDNwhpgIQ5cJQmxjmsa57oumA6sgAiDNmeqzun+77wvGDgBvM0sOvQhDVPctqzIG+YAnwB6Evyeb+P8A8AEecAfwJAyiB5BUGA5Bxjngs0KSZJrmOQ56bo+oh/gPDzOHOxURvA8SwBDFIPysD5hPu9iovfGK/Pgf5DxufEcn/KbAt0fwPyC35/SOwEGuKf8bSdQFAQsxjJqWf7AHAPyCM1LC3y2rqvg4OMUtfMqQpu1p3tfRxxzceaPsAki3IfAiIG9CKTJId6BMQh020DWEKUGxdCqYpxjB9RbNmGfJzmerLv0gsA8UpRdRrUwb3olTaMU6/E3rxZKSr8DymA+YzBLymVWobWNvOXWajVqD86keQ6lyuYZ4qurJwv0fg8KUPA+JdI62zatVutaidFosqlOnPHCPopUSIIhaq2wYRyYsJTaHW/iDHXCobJh8HzTAeB6QuycZgnGc5xmGoh4HwfA+D4HmTpcgbMoUhKFoK95jpoBwHkeA5jmHnURxwf2Lg/G2boKzOEILjGM3MsugIaQ6LYjp6jYmoTJh+AEDrKR7o0YYADnOeABn+cQAumfwALGHjz60uuXk+7D3nAA4Pujrm4bgokcH/qxALNrhH72A+EGBMJ/72QAHuxuJANKY7sUdqHHshKCkh+47rrI4zCM2YgPvzGxxx5sEUD+DjzkA4qsrVH73yUD5AR8I8lHhGxwbw47ZH+eATkfCHAKYy4DuuH8IR+Ab0VE+3Hch5Sc6lJmH+X6Ho4h5sKef6Xr+xWWIet7Pu+9Cvt+/8XxqD6kJ+58n0/J80JfR9X3+79n4fn+jF/l+v8fynf7/1/v8P8f9AF98AIBQFfFASA0CXsQIgVA15cDIHQRafBCCUFVYwUgtBlJsGINQdXBB6EDyoOQhhI1GEsJ1vQjhRCt/cLIXPahfDE5MKoZQohpDWEsN4cQhh1DuD0PYfQaiBEGC0Q4iQSiNEeB0SYlQKiZE2A0T4oQCilFN/0Kh8E7NqYtTpQV4E7H8mcnBNorHIixFoxkXSgRfJ1GEnRNh7xlYkhOLJOotlAQiiMoUbCcxuJyXSORjYzmOjzGon6co+xiJvICQL9o6GPkLHuRRN4/RjNTI2RyEo6mNkjF6Sah5JyMkwUKLCvSsg/HObUkZTSzJ1H+M8fI7ADxZH5GoH4/C+J1HGSMTgeJdm2KiP4PJHyHDzGebU4KS5Rk/lKIGLIP2xj+bGihsA/ABzSHyIQA7ghwAjJuPiWc4R4AHHGigAkvprgCmCEBXJDhgBPPsjR4Ey5mR0HyDApIfAID8H4BAfAIR8BhH/QEfAIB8gEAOIIB4wWwFEGGPCh4QxwBDHEGGgoeKKj8BBMEARAyRiEAeIMB59Qhz0nrJpkq8Q8LzHwHgeA8B4nWpiyQPCAwHiHGOIMm44x4jjHCPEeI4ahMkHgHgcLJB8TBAeA4ghJGbEKqFSZyJjh8k6ZKPwPgfliA8I8HEfFXh/n7LvTVxYj2RD/V4Oeno+F1LuP3UZd8wQPsGJcI8jLOSs1SJ5Ax1ROGSj+ZOUmrlYSuE3KyPM0JpUs1nH+PlgBCR8VupaVseMbk6jPJXXUf5Vyq16r2Y8+xOa/h+D4VkHiwF4FRqSOM0KuRxifjUPEopGhD2RWhUYfllZgmDIYS4kZCra2ehaY5wVoh8j+q1aYcJRAAB4LMPgD9rAcj/B8AB4sXZpDwWSIAABHDvy+lrZa3gHyPogZxdy4ROoGXFr9ccPwOR5j/B4p0cAAA/G8mldK6l1rok3HgAmaxDruXeXgd+1kwTcCPluH8Z4gATnGABel5hj293GjCDm01j3CE3EBfpXJJIujgqqAEtiIx8XfO/Yi3YxxnYLGeIMq7ycJXrmVQO44fwZ2VtOP6LtSaBhhH9dNi5D4uq8dwMMfabTaXgt0ocH4h8W2+AeVdV+Eib18xqPjG4E8dF3DGP0fZH8wldumaUd5EjUjwHvicfAxx95LO/k2upaLfOcIUPvK2VzHjwkVlqMIk7BF3UmGEj5W1Jh5MCRGLoz6IYnHgknOA/B8pTrqVBcpgyFHWzzKWMNtQ8VcI7XEu4cB8aIB+A8Z4hxBkOGOOAjlQl1EcpfeBkofA/j+A8A8y4/mMgfpwuqvOM57RhGOdMPh/NkYR2TVUA7hhgADIcOMYA8AA7UHAAMjh/LwbG1uEAD+mjos3GDtfYN6dOG4bLPxsZwb8br2ZNwEZDh4AYmsPgAc4yOD8nOd8fwBtbD+DAD/TQgAnjADHtNDem1A0NR4jaeaPJ56tD/nyOKoDpXkSXryRJUTraaKKVkj2NdzPejiYsj8Yty55uG9kjRRi7h+jFfHlST3uvuJ9pPWxOJDczwm90d/Jh4D+JwP6efPL1QBmkTrovRicRVUD0sknTOj9SiL1TqvVokdY6z1qJfXOu9eid2DsPYoo9k7L2aKnaO09qiv2ztvbn9dO7hDDub9e5d1g/3h+nd+9Rm76/Pvnf5BeCgH4R9XgfDFD8R4l8vjHx+L8dVPyL8ZHx2jTHsPEYIxKh6ZIMnMdyfi/515jzXQwfSf5/sKTUaCgydjX5mNvm1DRvyt54xnrpDyfkqnGT8ZLhe2MX7gn0iOhyK+JIv2sj+Wyv+QYpLXzh/jvB+P2xstjA/XKiYoThUSRpamF58P98TzfckoVGT8jZmlZB9NGa81E4zUmyAdH44AxpSnCjVGo5kUAMnQPwAyYIMCYgfwGBw4PwGC5w4AD4eITAB5GqqSUoACLJIjdQfhGg3gfECyg6bY9Cbx3De7e46oA4chGic5sQfCdRQ4IBRQY8AYB4QAHwEEAg4Ai4SAQ6ccB6OgfAHBeIPgGAfkHSgKmKsJkgMAfAF4H4QwD4YahpjqnweCnwQYcDUgMAPEKQfAMCYIBhXIpopcLQBwAJNoZ4R4eYQYYYcKnSkyBiqq0QfBeAfxYi0ofgPI/SLKsS1Ik8MSs6nkPZdaoMOiuA/a3YigpRAYmBnCV4Q4ccRKtUHBiSPKgcNpk5eK063Kwof6+KsbRI3Ss4c5XpEYfIqqyUQDShRYB4pRRTFoR4hwZ4usRKzsNIx69ib6fK0opSw4fgODjgP6yor5IA3SNQfIopTpEDJZdzFTJwiBcgHkVAgkVYYY3QeMV6ejGjCy5K+TkAAAOAsxJQcLIIwI6jNBQ4+oH5ToYC7pd6XxN68QZ4mEU4ACpgT8VYqgi8c0RoxrCq9q5AHDDK5gPBsDezDw6i/qgbasQ7AbE7ArE6yzBhhYpRBMeEeQtweK9EWAx0fCb69y+C+Sx7pK/MbzD8gYcDADaAh7EzFEhTBAZ4lplLJ0eKV4cIZ4T4jCvUakfIP4GK0xYDPQojDwsy2Am7IwYJVzEysY2i3YZ4Zgv5lLW4k8VYjAi7Ksaa0DLLLa47HYOYf4fapMrQOcbw0of8n4hIfIe4eA/LaMdEo0ZAYjW8ZcpklzRgT4i7myQKBi7TCwP4CbQIrgfjQgP7Q0OUTSsxTAeIYbE8UDNit4jjSa3YR8tcU4+UpqV4eAT4Q4ecaSZaBiTcjCMIQZkwHkNqroj7UcwDU5mas4Y4cLV8witamjbLPhQ4srXYHwsgk0lwqoD4QZkLlKTDc4Q4fgGDY4HAfDUjjpkgODZgQ4B8JYhwYYYKoYcYcE1JksKjbIADf4BgD4opnypYgclwYIfAH4QIQ86M3cujYbdBs0Co6cCsgkCrd7XUkkkScacBr7fK5s+zf4IDgRQ4H0F07qdyXBwxr88qOTc4hxFBKofya54AfjiCqrVrgTeJ3APC6AfgpAB4jgfzfaLIAjf4MB3EZAYBRUlwjwH4RgH5GtAiMryAnbkoowsblCNYpj37kgxZT7mAnFFRKVGaz1FgnT5YoQu7oT0Yn6LLGUqR7r3woKl76iSihonwYEktHqAMDCPrqAnYYNKUmiANBqPrkQnZkVI8zDyZ71H1MjptM57NM1NNNdM9NtMlN7ydOLyNObx1OrxlO7xNPLw1PbwlPrwVP7v9QLvtQbvVQrvFQ7utRLudRbuFRrt1R7tlSLtVSbtFSrs1S7slTLsVTbsD4BOLy4m8NYnwygncR4oUzU3jyrz9UKxooFUonUR71NUlVIoNJqGtT70Anz11UYntWAnMR9MUNgxlHSE9T4odXlV9U4m9YIoFWooNYqHNVb29IlVwn7zlYAnNYSvwxtaKElY4oVZNa9Zb64nFbab9bqHaUoYKU7Yr5gpp4Dogh4fIRiWZOL+pQ4DIyp4AxQB4eZkQYy09LIg4m4Hi11BQRFBQeNLJsA3gc4cADCyC5ZywGApYpxdabdciFcCECSaKaaaz98DEDTeCb8kaa1k4AYeQ4IAS07CIAJCIEAsq1gAYRAHAAIeJsxsbCIAFiECofByoAEGACDXQgweIcgAZCCHCLAfCfCwEH036gIeCgVqUK6cEJE5ShoeKZwMNqlrlrkH1ioeAGAfwDBCIAYzI1gQIGAMFsVplpgPwDFCltwDDW4BgDwAUMAYKnC2QMNbyHgx9W8WalsN6rBkqsSmSmEO8eIZ8TioA/QeAfJN7UIPgfjUBehCIgxfQQ4/amilqrAPlCisYPgwTXJnAiQrCo9vyEEurPsSIPwOApQjwOYriqoeYfIu8XpzkwQhIeJT4Od248EvarYjxeNzAtwtgi4fgjyYYpIPAP04V3AlwlwmCnAR4cN1A/VdS0ER6v5k7LsS8wCsJEaxMckcIY4fJT4ON8SVJScSboLzJCN3SVYt95T75Q7zNwwrxUN6kiQrAu17S4kqi5C0sa8fsba6KxK6180YMbMBS5l9sW0N9cq6MMQh4t4/UN5GyL9/IHBUIlUVUuStd1SH8WOAUawHi5a+oPh4CcEgK66ReBgPCcg64ABSYrrHd9V+MeeCw6ayoPia65sSC1mDpA4igwkaJdd7NpTCmE0jS+a5i+8cWF0gaWC+q+8cuGo0GHFcscgheCweAAi3UCIATRBkuId6QAAkMVUBQrA/OEaDsmszYP7DEjazcnbV0j4hEsN87lrVwhKwgPOCN+Am66Ic4syuweEWriYPAH1/EhWIjXmNWI+NuJVXGEsu7HOCNfDHyr8r2Q6Lt87HpSb+qseQWCYcYcYhCuzOKMI0DzN6F/TBeSWEON2ACQV7jLcvV2YMYj5YOT0X8oF9F4OUd4WQRUJzmVOC2X2GywF5+DGIhaOEGJGWuJYx018mzQEW0SpScXcvbUwiKs7YEvarzJdyuHxRWQhJOVQjOTpYl2arMz+UqW4f6pmEAqmJNXqGM3peEz5kqoigapDRCucVTVYrRdyl6oimIu90DHYPgDDIam816uymIrqldCgPxlJktwYv4H2eohUMwYI/Jkuao5bP09Cfhs2lJONnM97a7eVnQ/g6cDDl4ADHYP1oIswEEBoqIQYR4eGGqwECIAAP86zehGmNGjwcDXQAOkQr+SyTTG9A48z9sjo4IA6qs8dCIhwfgBNBUCurxDYj9li3QAbIYGFFAqIYIR4fABgrq+7/08NsjohyY4Ak0VS7QeADI/IfmpyGVN9Fz25LSgbq2v4xrPAk9bjqlN9IAoZFOwWfLnlN8ub4YHDD4m9ibqVSpsqRVJ7zqAzCInMNGzNNKBe0h69Trr21Drm1TrW1jrG12wm0x6W2GxW2R6O2m0e2yB+3W3e3hyG3Gz23xx+4Do24myO4W4e5BqG4zme5jlW5zhW5RiO6D5O6R6e626+7CFO7W7e7hWG6j1W7xQW8RQO8Dke8hJ281Gm9CDe9m9u9zum+DvO+W+e+iGe+2+u/COe/Tv2/i0G/2//ADwfAR8HAiTPAzxXBCE3BSUnBnBvBwoG9VKfCCk/CjmnCyz/DHDPDTqfDjnvD1NHEHEPERKnEnEvEnCVLfE3FMe3EXFkivFHE3E/F3GXF9JHGPFfGvHXHPHnHHH3GnHvIHH/EHG1MfIPInHfIfD3IqUfJlVXI/JfJPIXKfJHKHDnJz9HKXKvJXK/LXKPK3DXLE83MHDHMVAvL3LvMnC3M1FfNHMPN3MvOHNfOXCnNiK3OyKfPCKHPSJvPiJXPyI/QCInQSIPQiH3Q2W3KnL/LnN/NXOvOnCHRGknRXNPRnOPR3SPSHB3SWp/S3OfTHTfTXBnTmv3UXBXUmfXU3BHVCF/ViF3VyFnWFjfVXA3WSG3WnAnW1Y3XHAXXVaXUHUfXnAHX1b/YW/3Ylv/YHU/Y2/nZF1fZm/XZ2EnZXVfaG/HaWOHa2+3bCIXbW+nbiDPcDq/T3R/anWvb2+XcSCvdTrfcnTPc3XPdG+HdiCPejr/d3UPeHXveW93eyBvfzsffHYPfXYffm9ngCBPhDs/gXZfgnY/g29HhSAviTtfhnavh3ZviG8niiAPjjt/i3c/jHaPjW8Xjx/vkzuPkm73lB/Plh//lW7nlzu3mG7XmTvfmm7HmzwHnG63nR+HnzwvkXa/nm6XoDw/om5Xox9PpR9fpG5Hpjx/p24XqCA/qW33qh7/rFMvq23nrTynoXbfrm3Xr1NXsW23sm0vsHb/s22XtG0/tm03t22fuG0nuW2/ulNnvFN3vVOHvlOXv1OnwFO3wVPHwlPXw1PnxFP3xVQHxlQXx1QnyFQ3yVRHylRXy1RnzFR3zVSHzlSXz1Sn0FS30VTH0lTX01Tn1FT31W1P1m1f121v2G1/2W2PtXdP2m2v23ef3G3PkHeP3Xfv3m4P33ff4Hg/4W4v5G4/43iP5W5v525/6G6P4ngv5njf6W6v6nh/63kv7G8PSnRv7XjP7nlf728/8Xkf8nmP829f9Hof9Xmv9nCf93sP+HnP+XFX+ntf+3nv/HFogD/gUDgkFg0HhEJhULhkNh0PiERiUTiTgikXjEZjUbjkdjUWj0hkUjkklj0gk0plUrlkilEtmExmUzgkvmk3nE5jk2nU9n0/hM8oFDok5oVFpFJldHpVNp0dplPqVTiNRqlXrEHq1ZrlYrddsFPr9hslIsdltE/s9ptk4tdtuExt9xukqud1vEju95vk7vt/uWAwVLweFkt7w2JoOKxkbxGNyGPyGMyWTxOVy2FzGZwWbzl/z2fvmh0V40mlumn1Fw1Wrtmt11o2Gxsmz2lg223rm53Ve3uf3m/qfB4Vi4uW4nHpXJ5Vm5uN5nPofR6Vq6uX6+G6nZo3cwfb7008HhmXj8kw83nlnp9V29t59nvw/yuvx+ku+9x+35qH8tr9v8j8ArTAEBovAsDInBEEqrBiwwXByHQhCKGQnCiFQtC6EQzDSDQ5DqaxAqkPxEf8SRFE8QRTDsVw1FsLxfCkYwjGcHRrBkbwTHMDR3AcewDH7/SC/khvzIr7yO+kkvlJb3ya9snvVKLzym8kqvDK7vSy7ktuzLrry+6swulMbnzK5szuVNLjzW4s2uFN7fzi3s5t1Orbzu2k8tjPbXT61c/tRQLS0G0VCuBEqpUOzlFszRrkUS41IqbR7J0qyNJ0pTLl02pNLuhTrnVColPspUdSVO6dUqBUrFVa7FVp9V7tVjWVap7WbNVunVcu/Xbu1+m9es7YNhWK8VjpnYbAWW0FkvLZ7A2iltmr7arR2naiZh+/J3vmiZgAecADnwAA/3GgZ/W4gh/D+f58AOgx5zcAaDk+gZBn/eb8XAAZwAHctz3qgV1ILdp/ngYd5TcAKDH4MaB3qca9IoZ5wnOeJ8oFjF03XdN3HGeOFuEcZ8IMfuRIFbmJ34iRnnic58Y0f5z5mf+C3ZkGbIHfbfnGfl3IIfObW5hWWoiZ58nOfg843jRfn9gpPl/jR3XcY+NB/qJ/neeZ+ZJdof6/eZ85Mfx/24SeKInpJzn9puaHyfwHnwHwfBkB1xD8IQ+D+c5/n4B5MDwHhBnmcGPNucZ/D4A54AeYCBZMfAeXiCe15dpW36cfBjnGDweDgIhDkEHwhDwf+Jnh0gYA4CJ5mGD+fH8OAhnGB5CXdkxxg/bgZ8xpGLn8PGG3+eZxmeRwcnicZjkeDwfDnhAfnmc5DgcDg+HmZ5H58fA4nGd5H96f+Re5rXpaOiBgAHt3iRMA55+2ZwZ+Oc5Pk8Pwz8B+JxkeI8DgfntjPTkAAeMAwfi/H+OEf4zxntiZ6ScigwADtubgOcYY8x4jPGMCd+w/wPB+CeQJfIwxHifgCHMb8BE6MNeRA9e7ChnjHgg8AiEBILMbZgPET4xgBv2HBCFeL5R8ADE/CgfwcxAAPZ84CIwzgAOyEOP8T8NB8wRP62xmjTGNj4YxD2H44xziAfzEMfA8ARxHA5EmJcTR8ATE/FB2Tsoqg/HgACGxD4cRci2yER4xgYv2A+/liAzx+DjHHGoPwc17xNHC/NdzBRHw0jvHkh0e4LyHHjH8HEgn8hxi2OeRMKJFiPG/E0ccCGoLukmtyLBfotMxkzIgR4jpOxiB+/lprJXPRqe0I+FhumJjne2+MD7Xx/v/ldJYhsBBwAAZnM95gxxHA8DnGIT8IXUDgYuMONUnRjyNmEvp5stQfrlH+86Zb6o9ImAHNEAK8IgzWjEICEIfGEL+iNCgALh3ZG9dUv5yEdo8DgfJK8xzFUTAfmiA8fwHx8B+B8DOMQwxnB+D8H9wI8JGQoGOPMeDQZxj4DyPgZ5FpKj4D/OskJ6ZkHSmCesnVLzmzAWkTimhynnU3JvTlNk/1tE5p8cWkNPFskmWufCo5hKlkpqSaaptTqo1Iqmt+qs7Kr0JqzS2rdXKuxZq/VqsKAqx1krKRip59azkZrSamtdaK3oHriRStp+q5oKruRWvKDa9kPrqayvtfrAoSsGQ2v5/7CoVsSQuw5r7FoYseYuyJWrJ2UsqQWxqBLL2Ys2iGzpArMmys/aC0aJrS2hLLag2tp7WWjtUg+1tn7Xm4tjZ22ZXbbm7trZu3JWbem+tdbuy9vyr3ERHcKytxjh3IsncpRVzLI3OUlbK6Fj7pFOuupq4N27qXcttdWxd2VOXet5eCxN4lPXmsLehUV3b3XfvJcO9Vg72FFvqqi+Nyb52Bvuqq/Nzb919v6qzANe8BnWv/dHAtecDq2tcQEAAARJhVHdlbHZlTW9ua2V5cyBJbWFnZUlPIFRJRkYgd3JpdGVyIDMuNQAACwEAAAMAAAABBqMAAAEBAAMAAAABCJgAAAECAAMAAAABAAEAAAEDAAMAAAABAAUAAAEGAAMAAAABAAEAAAERAAQAAAABAAC3QwESAAMAAAABAAEAAAEVAAMAAAABAAEAAAEWAAMAAAABCJgAAAEXAAQAAAABAABa9AExAAIAAAAmAAESOwABmLsAAAAAgD/gUDgkFg0HhEJhULhkNh0PiERiUTikCcEVjEZjUbjkdj0Qi8fkUjkklk0YkMnlUrlktjcpl0xmUzmcwmk3nE5jk2nU9n0/hM8oFDok5oVFpFJldHpVNp0dplPqVTiNRqlXrEHq1ZrlYrddsFPr9hslIsdltE/s9ptk4tdtuExt9xukqud1vEju95vk7vt/uWAwVLweFkt7w2JoOKxkvxuPiuIyGMyWTxOVy2FzGZwWbzl/z2fvmh0V40mlumn1Fw1Wrtmt11o2Gxsmz2lg223rm53Ve3uZ3m/qfB4Vi4uQ4nHpXJ5Vm5uU5+K5nRoHT6k+63XnXZ7Vu7ud7+A7nhmXj8ku83nlnp9V29um9919nxknz+ki+33j35/V+/q0v4/6MwDATIwKssCQOiUEwUkEGtxB6uwZCKGQnCiFQtC6EQzDSDQ5DqCQ/ECLRGqURRHE8QRTDsVw1FsLxfCkYwjGcHxrBsbwVHMDx3AsewFH7/yC/shv1Ir7yO+kkvi0IASdJ8nh/EqNSbKEoSlKaUI7K0ryzLSOS5KMvQNMEwgBLExwXLczTRNMHTLJ4/n+eEzzdNU4AAD6BkBNs7IbKoAADEM+z8hdAT0gZ+UJQrFzggp/UXRitTWB6DF/SU/zXSNMUNLdBU5O6NgBStQKrLdN1LDct1TUyOAOgZgVRVh/tDRBgSdOVZ1Ujk5HxJ9SV1DyPkBJ4B2DSaO19KFj2EjtbyhXNmRIjh/S5WVStDZUoURaVaWdLluWlQFjH/Udu2nUVcIEeFgXFNdXoEfl4W7Ks23nd0wU+gZD3Pb0wXaf5j37JtooEc+Bo7fSBnvhFXINhlztDLE637dCOWJhWIo9bU0UvfGLyfblr0w0J+SheeR0k0M6WKgVIXojtiZaf9FZhMtBH5T58ZTRl6oEQN155Qsm3If5wotoU/Sbbh4IFWObVEgh8adpM7NDouaIFPmoI1cKB4pZjQ4LeOwWO0lfaLX2qzc0k43Xstg2zMVabhXTQ2fPOnbrWdAXMf9ibXNMq5pUkncDMeloFV+Tb3VkmoHgVlcPLzQ3ng+WcnLNa4Wf9n8zKbZ5lz8S7PRFq8NriM2rcnGcbVOVydt/UY+jVnzkcG57DNc65l11sS2P+d3L3OzI7Yx/A/1vfVBzZ/k/lnZ91XiBG/3HibikRv975dONJQXT+vuyOzp4MrdHFFvg/6Ho+LMoH7x9nsYqw/5/p+q9fv/H8o/Jb3/6e1/56oAnngGeSAp4YDnfgSd2BZ2oGnXgedSCJ0YJnPgqc2C5yoMnHg2cWDpwoPm/hCb2EZuoSm3hObSFJsYVmuhaauF5qIYmlhmaIxA/FcjwXIIBrxBB4L3d+RR4Tw3ygDV8AEfieh4JSdi3wio+E9OMD+7iIygYkpzB+4x86NiKjwT0PgB4/g/iAD+PN4UV4lxgjBE4ig4FKjgSwzpKUaAfxLH9EB7pFRxKVGAy5eEZ4lA/JC1h5hFRhKvGCvFUkgIsSJH+0BxxFRjqvkhFcf8jIlyQkc68ioj1jLkigQKTAPxBtOjYRMB7QJQJYlGuSGpTTEAfkTH+Vkc5AyulORF5EfZaSiVHHReA4GxskIopAi68Ily+APMAi0w2VEUUVMKZEtWaSBmDM5ns0A/jwD/L2S8tosTBlyRByU3pWsWkKRNlgH5QKIlHKVzs4yHzrnhKGb81YsTwk3EEiTRx+SpkVKKcEmWfzyIcOMf4/n3x+oFPiJcfR/iDHCHeThExh0JAPMIgUq6HSCD/Hce4N6KkSYEP8AcXh/i/EAP8fso4vT/HuCekZEV+UmV8MAD4wACABWUyak4Px8ADHAB8e8eJsyoZ+6eOqgaeqBjsrge4R6ZkQUQ0AYD31R1Np4nIYC5JsNKf2/ysJ+6xlQrKf6s6A60pUrXWqtqZK3kTleZyuZwK4xtrvXKvKoa9kOrqZav5k7AnIr6m+wqmbD2IsSp2xdjLGqNseruyKyLJrNsqQWwZj7MmNs2dCy9mLP2gtCQOzp0rR2ktPOiz9pTL2pX9ae1hhrYmatdbMwdtjwWptweK2tvbdW+thcC0duzQXCtDcQvtyDR3GtXcyy9yi83QPhb+6lwbq3DudZW6R8rs2Tu2am7tkbvlxvGay8Nj7yltvSa+89jb1oAvbYu95sr42Jvmgi+th77m1vzYW/ZYb/oQuvce/tfcAoSwLXvA5u8E15wWVnB5vsB3Nwnc/Btd8IlXwyVTDZw8L1xw6ibD9b8QnGwrdrEdbcSlOxXLDFNa8WnLxfWnGJScanOxPd7GdZ8blFx6UTH5Q8gnVx3WXIZasi1jyOdjJNYclk9yedvJr+8olGIosQHDNKvsuU3D0hcOEaZXABlnMBCmXkIy8Qcfy8ctpIzFmTNuZyD5pIM1PLWYSKAfzsQzORBs6EFz2jIiueiHZ9ILn9qSLNB6BzNl0h2jIuZ5HwOGHCr47j+AGPEc48x+BjUhQgf4ME5gfjEB8Q9Qx8DnzOJ95w4xBxwAAPwPMiRB5lSFosQA/A+LGqCPgAI8RAjAD4EAPwPwAJyBAD8YAD12AffeA8cAJ4fs0AGPwAY4gAjgB8AAPgeQAD+iRm2AmiwEB8DgGFOYYR4BgHgBARAPACA+B8BhKQAgPiDAOOEQ4HgPiGAOMPfMpR8bqCCOAMI+B+AQB4HgDAfAIa2SJosHgPA4tNHiPAeI+B4B44mB8DwPg/J6AeI8R4xxnjHA4D/UwjxDjnaOPkePFxwjw4QHzhfNg+bi3HpIf3FGpjz5gPweA/AfA8B+B4Hgf09AfGOA8c4jxxgc6V00Y4xx4j/4yOPgY+OEc9DwP4HEYkeaL56HkgXV2adD6KH8R3SRHj/6YP/p4/wMECGOB8c4x+f9yH4GEfjU+vc9Rx2ThcSov9DD90nto/+394YD28CJAhD94Ef3sc+ne/s04Xz2o2buecLVePiZYAB4j88T2wHC5gfjnHAAdPQAFaAG7wsQf9CBj+YamADzYPmM8R8+H574AR4AE9L6cR3qVK+rGACf18Ywjer9owf24Y+/j8AF5sH9K+x+fimRYeAfPi+KyyQL1Ygxzp6AZN3u/c/asB9x0T7A+OdQG8I8FXo4x+fhB/21XPTPKB7uPgfv1qShxh+v8PqB8B8vAosotoRPCA5ocP8P8A4vTOjBPO3O4BngPhhuoQAu7uqmpvSvqQEQFPNgctDEjPCA8ocPShzh8QKPEujukulhngfwOBxuPQBOSurOsB8Axh8P8B8B4vAgeQUPPCJs9OvJuB4B4B5h4QYAeOPt5ORAPhPhBuqgPhHtTN8BxmjuNOLwguEPNuJukkfPCA+PYFfE6QoAAAfNjImAPhAKhPXBHgAADhgADodGaKeABwggePdOvttucwzPfmcIjAGQoAgFIPtAQA/hgAxovOmBABxhwAzo1o7p/wggPABgOOvtjOIQUiTRQFUGDm2CTxRiEg/xSnBRTmxsuqSxWRRRXCEuSmrRWiClNtlxbRZRcCgtEEXCgP5RdrrRiLsMcrxMpn8sqjvRjr0Rkn7xlibxoiaRpiaxnn6xqjyxrn5xsjAxmr3RtmKxuj0RwmGxisCRvr5RymNR0iDHlEzR4R4x5R5x6R6x7R7x8R8x5xfq8CJR3x9SASAyBSByCSCx+K9R/CkQGi0NWH9CIh+SFDPyGj8CJyICiyFiyyJqxSEyLyJD6yKyIjOSNKySOCiSMCySRqzSSihyTiwyUq0CISLSTSPSHSYyQjMyXjHSVigSWiwScq2Sdifyeiuyfq3SHybjLSikvyjyOyRSPygifShiuSlK4SbSmycSnymSZynSaiHyZSWSaSKSoCeypCsyqR+ytSwSuSxS0yeSwyNy2yhS3ySS4yoy5yVS6yyS7yYSvGtAAQmP5iTkpHcCElgIhi8SzyESmFiTAS9HcFIlSO/yyidTEq+S+m/y/puTHG8iDlSOaTJiczKlWymJSzGidEpBwxdTOiLTDi6zRLDSrJ4TNTTmjJ/rHC8zXiHi7yLTZA/hnmss1nnB3h/zfiVzURMKEk5NWThh/pBCBB5iBTcipTpLFTYk5puIkAYI6t+gHpSveiSTUB/w8n1Hkw8hhgHhGH3t6IyN/C6TqEKyQKIzrg/NYgQKcgHhCADAAlqiWTwqMtoADqgh4BBgHhEQ7t6EzhCJCC0z3zbzLzSvvtuFRhAADmZGTT+mjB/hDw8BgBBh4PhABgHw5BgAMNtw4zvyMysyrBAPhPvuFAHAHhDhBtghwB8AITAiMTwhDhggBhhhgh4A4B4AL0RBA0ageAGTup9i2UGkMT40WQmA8ObNnUZNg0oTJ0dBDhhl+OMg4A/zuhwUjAfgDqJT3UVTL0nuNg+OUlKgBqJQmA+Ur0MhDhDhwpEmjmm0Yh4Uw05mji40mLITrUoAAU1odU3E6U4mjhD0WFY07h/080906UyyuiHTeTrg4VBgfn3gB06U9HuCN0dFAo3KEU8BD09B8AcA/0+VJS2VA0gVMURVNuZzHzjUMgDqnABpE1SVTVUVVU/UzVKCBUIA8GaVM0x1OGm0MGjgDlSAA1c1HVS1IU+i4U/rJVWg8A/lFAH1jOZzZiVT/Kahghwh8A4VHUPVo1Vy4VrObVMzu1OB8U4VaBwqFUs06Ua1yUvuaAeAPgD1I1fVJiG1K0oAcOjVtVYuaAcU4ncN7hBhghghwUg1HBA0fh8Uj0Y1pC21qLKVWw0U4AHgAWDGTUcCKzBkz0OPhS/1HUn0SlR1+1p1f2AVgz5tuVMw5VOFq2RCKWSFaKMoq08Q5B4UENTWL0l2XiGWAzsVshgUtOZh/0UCRTBteH1AHtrU8BCAH1TtlVU2h0GWisvykCEqai/2MrLSrStiF2wi+2xrRS8zaCGW0C+W1EQz42zCFW3zcWuiFSvy3W3DBW4rUSx222z2+28CE29S5S110zL26DJ2/LVWYSryk3CCEXDS7XES6Wyy1SsV/2jWvjIXGrX3MW93NVWXFXM3I3N2vXIXGXJCD3KS9XLS8XQ3D3R3E1KSC3b3cXc3dSCSDzLXbXd3gXg3hXg3ezR3ZXK3aXL3S3RXT3SVgXVXPXWR3XOjH3Pzd3qDG3rW53TXV3UW83sDGXtXACczQCqXxW2XyS9ydX0CcXyip3z3j3X3k3Y3l3Z3m3a3H3F3o3vXC3wDFX4X63kX73lXn39Xq3pCC3XXA4B36YC3uX93nX84H4D3+XJ3/DE4AYHXmXu4I3OXoYKYO3U4DXs4ECCXXToCCOxCDRSxKPdVPCFkpFiAOCGu0M/CBwjX34SlEiEYUYbpnYWHcQ/mACJ4Y1B4aCBB+tD4b33CRYM4JCCYemXYfiBYWw/vOiIYi4ZiCSXu0YaiBFuYcTp4dF44eFH4pvaqEIcJ4UciBBH29YuOz4lSGYxmsiD4ozkiD4WY0g/qLiMksY3CC44OsY5UU4K3W4y4U4zhx492tiJY/43iD4u5CSUY6SLF2BmEsB5qLmDh5oxAOBhyII4BMhzur5FstYvWc42uhZBtMIcBGAfhPhzAPvSgBlYwCZZlaNPgPUuisYnYPPWhkFSB5FBPYBAB/PEhAIloeBIAzqEZTQWCNZHoyIyNMKhhERNhyNM0PhgPeCBAAw4oxtigAgPAgYmCN5fXUhh5aqSt2uEg/AEA/A+A+AGAzAPgDAH5mGBZnng5o5VAGAf5/nnTzhABGOCgwh4hwBgvStRB/AMAP5/gGN5AMAPPZZe5K42hhhh4UPv55OJgfA8OiAP6ROWO54WuctIZHZVAfAPOVHnOS2GBw1xB4hxuYuuKPg+aWAPwZA/N+YhinZ0XvvGBxhhh8l1h/OvgOaeQYAPhPAPhnuWk9aTZ+Y/ZVA/6WO3hPuoBHhwh46ZOtOLlFPTaWBHAfhPAcaeAfu3ir6gX+4qO9ajVhupAPPqOQtWBnhHhzEpapaUCI5H6rAfzf6sh5uoaZh+A4pLuYlIIcaWQauwB/6r6LZDXpiBBh63usB/Ach/4ZhHAjvTZYPGBHhyE5Z96+YsaqupbAgP7B6aQJk57Eosg/7UAB7HbIa16Lk5gB7LQhgYu6B/hHNqtihPo3bha9Y97SiH5H7NFzBP2PhH5SQJmTaEEzmpgOUJ7aa07I4Q6ghgARhns7ZOgZh/gM7fIkbghAAn7hao7jZ+vGSIbqlK7mAB7nNNbDB4AEbpKgblH3gfbM7a3zbbhBhx7dB/beO6hHAYbPBPgDhnhPhxlK7Sb2ZAOpTok9b5wJ0ah44Ub3E5B+APMs7/Yc7JYE4v8BM7PS7Mu6gHaQNihPbABP6S491kY2b27NEsBPlK8LbDO9OYs2aWCBAHcP7sbbcRYTcSaiOzh+a4g/gHZ5cWAfhD8Xl+Z95UYiZVbH7AaXbB5SNKB48dwh7YaWBnPUa0a1b/8iYdu4ah4u8kue6rObcncoBzqL595G6+8rbIashx756ZBjh4B8h8bFcyP9geaV8hczbta2hH0fNQU3g+OigPPE7g0xcX5F5n2P8IyIOPE9BPhjhD75hwOYhx8/ckqP19N+AHAHAeaJ603iie62YLG/5al4B5NvvYAAA/bY7gw7cXhw9KmaQ7dMO4IeKIvW9PtMncB8Ntk5E8oeBAOPgAar9WzKbbhgA4hiFEB5pPpHoxBGbzBj8Xh4dfGTdpCDbkqck5UPQs5SI9uLgOGdlPhA9z5uAfgB9o8h9EdYO7X7CFtQCH9ydXbb99YBd+CHh9u4Sp+AmA99iFd+2jYwim9X5DnIeFiE+Gsvti+Ecz4yeJn4iZGeeLMzNj+M98eJd9eOiY+PiIPYeR38YPYR3w+E4N4IeW4RYJ4SeNY6+X3/+Y+Keb+SbJ+dYMeeeB+Z4CYn+e+YecYFX03YS+YNeked+lYLjDeIx3Xh+r+sesx8d/z4R/etev+wewzOef8R4P+feaag+g+qeh35YGenej+iYQe0a2+1DC+q+y+6jB+78i+zek+ye+e83B+pe++o+/80fAjAe9/D+be/e598/GfC/HeS/IehfB/EWxe2YF4OfJegfKe1/LfPe7fM+mX5+3+XfQ+9fR3231SgX2Cb5zaf/VfX/WSjX4/Nei4G+4B/474VCCxVlEg/afbTYZYjiJGXl7hwT9qsm/TQ+2feYz4Tfg6qfiCCBv5I4kCCM4kpfkdbw7FfGAGIGXCWfFeNiDfn48x3V4Y2fqCBsvZJM2Y7YlnkEQw22P/viCxYJL/x/nYzf0YEiAHx/wOCQWDQeCD+Bp9+QYPwh4wOIwN+H+EPOCP4fxqCuN/B4fsF8QhjwWRwiUSmVQRPyuXSlwS+Dw2LwZ/RaDueZniZSqFP+GQ6IRKCRWawONPyfwNxv8HD9wyeDSWCVKe1eCy2sTKY1uaQeMQWbwidQZ+Tytwaf0GCw+DxOJv+jWCMj+50x/o4fvCrQSqQO+2mZVrBSqu1iaPAHsyfvNhv+dPObhxhw1wD9MueIsYPs9/owwW7C2t+PB/xF+AOKowfp9zB946lgD9Dv/FIA/CN+HN/B9gH9Hv9jXsHvl/DN/029PipRVHuMAa9xvzL4Wr4TrQjD1eaOADsgHwN5AF/gB/oB/H4eIB4D9AB9IGemsQHgF+ATQ9nSIA//zUnAD5EA8AZyAGeJ4ACYAfPIxQAB8EBwAmfADmAPgAn8ATiQUEDkryuypQA54AHIA7puq7KXuxFCCu2nqaGGAZgKoeAIH4CA/AQPw+D4BgzA+AwHvikpgCMEB8DAtDrNIBgfyYf4PmGB5AEYIJwDCeJwGCeJ8BguQ/AYDwQRgcBhnnI5+Bguw/gJMMOpAs6CGCB7nmPMjpsDFaERVPJ/xamSaEeYcyoGeA+DwPgeB4Hw8H4HwP0eR5DnO4JgnAeB8nhJLRoXRqQIeD5HmOQZgnCqJ4nGeMtnwP5+D8H4PM6YZxnCeZ8nwPh8TUD4HPCj03jwACHkOQ86VRO8+JXPc8z8l9AHGYZ8okfw8H8Dg/A8ONWg/WBn0kh5jr5LdNME0g/pA4NQHGR5wnjUxxnxA6lVbc10mGeB5tjRi7VcQ1enxX9gyeYdinxY9kJTZUV2YlyvnGY6TnjaZ/g5cwx20lpnkecyFGPLd8xRcqQM9UB5ufU5+Dif94YjNR/3Phx8XwfwcKTVzOT7By7WBT91Ydd+DYPPWgoHhaVq+YeH2kHOJryI9Wtaf5HkeciLY7eE4P1Tg/4pkYP5LY2UNtVKkj+j4fkeeeHnmyWaX2P+bnAACkySD+emO6egaGrO9aKlTEgHpJ/skGJ/gwvLVVcT5gAeT7qmPMzp3GtLSYmADwg+AABkezTp2yAEsABNRAU8eZAAAee4hipI+beh6m7mpAf7sc5+bzvSF74tKaGAEZnpOyTkAyvL7cSQAn8bb/IaxJVOcry/M82ePaDieAEdBfYA9J03UAB1S7dY4cO9gf6Ndn2p+TxoeExRvqUpoQeYWlwnDEcGGnk+A5nk+cbw8fmLy1NlAIaxQgaj2oucZQOBeBTUvAPXOyVwRTTjPfbeQp17OikN1WK+d9LQX1nZfaSgmjdXAmxaW4YByjFXCeB+/pSY/3/MfazAJiZPwPnhei51h6qSKOsZeSVfDKmag/fDBcfDdG7M/fQ7cg0HzrQhIRCNZ60TTpwYpCkPkKzaCfHObWGMAFyPNXOk8570Rwj8HjDtlg/IfNnZgzJtrT4ivkB+cwgkGmfD5TNB1g8TjCxQJnAVZ5cCzj+B4uZREWhDxcMfDGI7IIxNnKBGUzSplwIHdgSAY6gh4r4LOvJVxenxF7KkB8Y5zxzjjj1HaJhLHcleIGoEYMDB4KFD4D4HgHj1OJB+AeLg42HR7UzJCGi2yHifGOsQzQ4FUjnHguJVkWSQIwVKqpQyuinviAAAEqSkRhiDHOOEcY8IFF3dvH4wUgCzEDEAjEA54m5HmAAH4Py1jWgAl9OGYI+B+AAckVtygHz3j/EGd56I4EDNxHgDwACrAHAAJBQgeAA1CzxdED6Cz5HMlScWMAAY4KJAAHxIeVpQJXmIIGMAOIxC3DzAGP+l4gSbgMeKMeLg8J9j+AJP8rFATf0EHgqAzQ4gHoHA4PhBb5D6l6HgDMfADx4B+pehkiowCOOvnwiAH44AZjgHIA8fABB8QElbOgtM6iClfhhSUnpSyXQMJcWFPJZa2SuaHWgopBS/11J8T2uBKhf1/RRXSvlZit14IpXqvhLq3ErsESh/ayLCV1sMVixBcrFWLr6TKx5CDn2Ss1Sau7urFAAdDaEtVfiXjAnenyydbLKlXsvWoktprG2htuSmzpBxwHhtdaG2JPbZ2oJfbm4lxyD3BK5aS5BKbjXNubcol9w7oEIufdW4l0iXXUuwQW693bNXaJXdy8A/7v3lspSc7l6CB3nvZWW9SLr33uvfOe+Kf7531uPeIw1zL0X0v1B6+6zb84BuBgNhmBcDWLv4TB3VpsIYRwlhPCmFcLYXwxhnDWG8OYdw9hQ0TB7Z4fxJiXE2J8UYpwziFZF5LwYAwWnnBpKMXXdxhjFFGMztX+vLjfHB1sdW8x5i/H96bRywvZj7IpacgkGxrdjJWSysZNRZkPG2Ur4ZHpRknLETMqEEyfdXKOXUU4IaNgrMkfczN+zRmlPmX2iZWyhm7AWWr15czosjOCfc5ZizznrNb7s25/yBoGEWg9CGCz3mG6GY9Et7ztfLPGj9C6RvxpPSmitDRR0Rpknui8+6N08YXUGSL/6j01pbAmmDs2vsZezUuWy6FiJwQaukVE8k/OCSqvaeBBA8KKTgfzASPWmVZiy7Gsc76zIzrUgutyBj9RWT82uvCTWJIIALYBFNhT4H+OHYdDR+bIIHq6wum5AlH2aWQgkVNcPMH/a0lOvTAEZlxsEpAPqXjBfIRbd5U7kbK0lswpGziCbQH/v+MI/wRkr3oyoutai6jhH+MDfvCd58B3ROvdXBd2ED3dtMgfDdrFV3q7HiTsTTDM4uXEg9e8D6qwTxcxo7x/meHOWMeZDVoj9LKP4PJQOFOTfIHMgZGFokNIsD8Y5Yx/g45uSMnRSeb8HjoSMRnLeqjvH4Tcm/MLw8brSoQxdvqXD+PI3JrYwB4B/MuJgM5ER8AZH9R/R17XyMp4qH82YMAeAfEYA9cBDx8AY7QZc8w+ADbAPIPwPIgOrj/E42UiyCpuCDBgDgD6DeNcyzOn079rTxz92HPQ9YYD3HwPkbYBI+AAoneY2E8/qQQAYAeIgA6dTwvVn6OAH1DfFA82GXIPNDWyeTLGMChg+BBggAgA87x5r99irzzdGJjzbP2BgH4DAPkdg8AOtsB4ghzklSyljodAC5E8H8o4HgDwHABEOIEQYxxgm1HgMAfI4FGBwI2lwTQ/WA4I2TUJALGNiBgHwAm/iEOVE7AwY+o2wUCGGImHgkKB4WuDgUaA+E+VAUkPDAoS2/Sp6ZUJGI0JAAeAfAaEOYcbuOSmeiO66/+B4H4IqLOVcbIoxAOn4DwD+Ae9yGeYc86aCuoOeGGJOHgYkiuDCYuhaY0IfAo53BGKuIUjsI0I0EeA+UkEObSGeIinGXzBk/aB4HwbnBwTVB0IsS2ZmjIHPCDAe3O88zYKYhLDYA4LyCGfu5uamY46TCmraZUKMt9CzC2jSEfC+JGThCulwJGZ1CuX2B+A/AOYi6gqEOTDgyNCIv8aQYgH8S6foAPD0EecaaqWiHxD+JkIUNiIspeH+AeqEEOHyGOEAPIXeZUJ4KVDGHwdCkLAIXnElDUIicNEsaRCGxEuYonDqfmcOfut6cbD62HFQuKNstOP4cWqEEfFlFohhDKn8PLBmHhF4WpF8D4ctEmcKvMc3GTGMxauYd4d86OH8cIeEEceINaeMeQ5uVsAJGk1ebiIUNmABCyc3GyGOLcYerCUYQzDGLDF6KSn6AfAOIwcMbOHOd5EwthAisxFcHHHgNPHlHQEdA0hWM6i4f6HyjPH6JWgsI4H5AHIGi7Fkt8HOHwjODwHxBwlwInIcLsIaEfHPIoc3BZIwpK4E0uhIYgH4aXDuEchUB+hYhcOCGOHyOnJUr6KaLcAYOBFhEM3KYKLOgnDGipJ4js6bDUWjKCUnCE+nDk0ESekGIkH4ZokOA8R2kUi4NrAoXe6CkgMfGAEZK3KEbSEPC+pwLOZZF0bnEfLLB3DZIqhJHYT4uoAeGGS0UIiOPUB9LrAxKei2HOMeS0Xep5BIJKOCB+NZFec2fgVE4oHCHgKjJvFzEYVdJ4HiWiI9DUVu6hIqUC3NEzGOyQAO+uUIDAD4Bw+4B8l3KeA8nymASyHC/47uvMH+NqOCA8AYA5NSHOEDAaGCMe/ypADwBw/9DHLkVZHG2GQMOTAOTQJ5IqEOo+t3IzLa0OPOncng+Gnma2cSnwi4nEQRHCDw3JBINqNqdGcsqE9wTqnfF3QCA4dDDG2HPPCucsIi3BDU2HEac2o8HBPlKLI0d2DiZucEpepiJuEYpqpuOm9appQHCoairW4sADIMc2EclMqCLkAQHwAdM0AHEk3u8bPQoaIwYjDUphQ0HOHABiYLLZE01MrWzmJW121Q0hSc1lSgz9SlSoibRAszSyJVSnS2tFSs2XSw1FS1TEdxPo04L8PKtOuQvPTDS3KM1WIGtrTeuPTjTTTVTI4Gx7T2MHS61ZUAshUE1PUIWTUNT/UQJVTo5nUPUZULTW3TUhUiuTUUyJUsaFUm45UrU0rtT60vU9U/THOBSvUzVJVBVNTLVRVTVLHaK8xVVlVnVpVqxTRchAwfVtV3V5V7V5Vwie1CubOk0fUc8/VHU/WNDnWRU1WVLdWZUtWdPrWhUjWlTZWpUZWtUpUXVdVfMlWFThW7T5VXT9VbVTW1U7W5VdXQ7HUHWTUwyvXFXY+rWxURXm2xXrUJXvI3XzUBX25TSjW7X+07WjXhYDXXYNS/YRU5XbX7T3YHXdWbYTTPYFYnWGpLKsurYg4I4uJy3KILYyusliJWrosFYBRgT6CPWAvBY2IMrk49Y8MhZAmI2qJTZLXSIK12HBZUxxZaILZfY61tY+3amI3kJRZvYaIM12GPINZ7YTaA6daFZlaIhm5JZsIJZMJRaWSfadYZXpZcJs4NaGsJZCIOJ/ataPaxZwII12ZHa7VC1WLG5q6q5yIs524w583KYwHPbKtSH86MH+H24wIaIUB/bqOSG+H/cSGeJoHPcEIwH3baSfb65jbg5mMUGYta7O7SMm7Y7cA+7gIiHMRKAOECHynM/UH870HA74B+78A+GYAemcdcAO7q7Q66ByECJiGAD8BAUC2HIMp+wNYgO8GRFa9Gni9MEA9QEASC9WQKHEAGAAVsazdUnY9o9sGQAPSSPDei9cn7Bq+KN+Qdd8EPeAoFWJQ/a82wGeRi34+yTROQR2A4/CA8/G/KT6UqHAAwDy5c6IaxEi/ePq/snA/uT6DCTOBgVwHwDgAYlwA8AIEePCGfIMANZXY1UFAnArAuXNA0UdA6UiHOV7NeUKDy+wU2iWvMhZBSUkGOHC/KKaVNAuKiluowVhRs5vIMVAwXYhCNCRCUD+AdCYD8VA6ZCeOSYKn4DzZqjCiXEfEI/KelC82+auZoMon4B+owhYNZhyA+6Zh5UMfjI+6gYoEdDyVdKlD4OSdriUt8U2n4ItEHC0/KHyUnC+ZRDsEPiwIUhYEQItgok1jBfXX5E4WlE+D+EdFDjROpFJjWlULPgur7dPFYIHO1KmHPG2OmDDE8YmrAIqIUJA8hhyA829eHUFGTE7GWEccQbOO9GeMgdrdODxjcjDHCIVGtO0GfjrkyH4DHJBfpjgPdlDj+GPlJaMvrYhHed/JAfpHsEeEACPHydpkeDxmO/Vls4qB/IEqFl0HOLcdpl8cIA4AHjg9+hYEAIVgorJlNkGJoAfjEYjlVJGB/RspthFkddPhMayMkIUH4XOqFku13k1k4A4KiIqB5M6lFkBfTfVcs8/KQaUaZKaaeL1nsOCZ/nzQ9GnKwIGAdMDiihfjWDjDsS3oOD+hZCzlHoYyzodDmbrApLjLmkQiznpM8JLow8df8/VKxRPo+Y6i7ERpGJ4B4L5oOKcbOIfkAlNkFpbLdMpMsNtBvoRM2lDM8MeXZkeDyNMeYJ1NML1O0GHhfpgKjAsDwPVBiD/AwKeali68FqZXI0vOEGA+wHgDhOMnrOTM4EdOYl+HGSzqyj5GnNKKcAdOyqEGDgKMepBgZLkD4k/rSB5rWJLgoA+AOTnnZqbPqnatZPwnkD9P2bPP6c4QLqzdRNJOoPPlJO1e1SSpeHIPsQuABBqBwIq9/sli7ebTk1hUEpVRGpcpgH+pkD/RQbOEAHOi4YLdHqyI4U2M8SGH/RmqEGcA/JoPDdGH8neNUH8Axk+ACL0s/soMvt0vRZbKIsWvOM9YfUVvMr5vRX9vXXiJVvTTTvLviJTvnTFvqttYuJXvxTnvhv3XDv7vfnbYJWrYtwFYrwLYjYLwXYdvpwRTzXFW8WXXBwlXlwiuJpWzzZ9vtXPwytRw2zpw7YPw/wdXVxNsyijV9xZxbxcw9kisPV1xfxpxrxrxistwtw1wnxJYVxTrhTrxRVJx7YpYXxVW3XNyHxAtxx5yWs1xEzdyJv5wVyPbXxLyVxPyTXfyzw9yxyraTy1Yly5yvy3y/a/zDwbzNXxyFzLyBUfzZzFzVX5zhzTzdWPzpwPzHx9y9ztWXzxWzydvPybz1yLx/VhVOTyF+mJv9zr0PVYIJahbFamKKH9lpia+lZiZwPKAen7mtxHafbC4+KKH50s6JF30krpH+nx07bBzPbfz7Wf1a3X0yIpsDFS+ytzZKHwUeNVbEr/1svfx70j1F1q5ENi3JZKN6NhtN1+yx2F1D1oLl2A1eYj2RbVFfjgIP2aylYhbk6O5s5w5054H/bydxDI5FKw6TOncMLGKbCyjYJwYbcU5OyXYhcw7MAG7QPLc67aQBdCH/dGH4AYQAkgLC767/djdmQ73edYaIM6HiEADGQMH4Pz3rUFeK9EPteSPVeWPdecKaQKrD4IayImPe9qAftYt74XEkpI4qAfC8EADEACNj4qyLYhfbrmUI+1fkURfrfu/MGCHgDB2nJWNsItgFRnsQHPgN3d5YJwGGfyVOHADAhl4twXg0UJg4A9g9A5A9nunGKj6Ir6qevNhY/LhfBcI8UekMYCOfC8VmavNGwDh6Wfh+J5CXCaYyNfiR7C5E+HqRhbikIibj7WoYIeXX7fhl7kv1Y3nhDtDxD0YyHIgsg45EPOItihoD8GdD5YYCE+Hj8SZQjB1f0c4HkLI/E+LzkUahFHdZkdhShmOrktl2PIbiSekMJwNh9CWz8XmRlOcBlTJDlYcacYOrmn9g3gN7Guc3m7kygL9wgL9AVOc79GxjmSd7mXHmeGfvHx4Idodp7EucH+HuSfm3+ZjqLcgYA/3gvb+kmB9F972DUFnfGVJDnmE9JL6+H453/CJQIUIAw3+nh+jw+j3Ox3y50e/3+44cH34fD/EXiz3i43C/Di/DxDpBIZFI5JJZNJ5RIE/KZZJHBLZE/Ii42O+Ic8X8OX+HH+jjw/D8P4Iz0/DIe+Hm/JtMJMP4fAz/BoQx3jRqe/4lFIcn4vGY3HY/TLFY6ZK7JKZfY5lWHGw3jN34OH8PD+Hj4fKDBEPRUPR3i+KXZ5BTognKjB4TVUPb4hWInFX+j3Gz3DGn48Y9gs1m63nJLabFawew2Db3+8I8fh4P7sPLyP7254E4Xg8MBnqc4X+Ph+D8Qw3DssZEXw/Mgh5plXA+NsfM9z7FZuhINBTLWBwGwIFpzgfBwfg4PtVeQ8B6K43G4GC+DBgc1TngAB8HN9CGCg3OwYFjQAAeMhxhkOcJgnAMAwnw7oOMg6cGJI6UGOqmC1kA7IDoceQAH8AB/gAPw/g4oJPgA8xzsqcgBn4AD3MEpx8Q6AD6nOZADnOcABqvEb/n+cAHnACJ4DEAJ8AEPkFQbI6RQe6cIpatZgDiYwPocecbxuQJ/D+RkQkAc6ingcZzgefwCRWs6nH8AJ/gCY7EGcD5znwB8cB/HR4B+eAYn4MZDn4A0PwXJEjyU6EmJYtaHGOwRzwYpySmesjG0DSSVSRQqU0Of9ErPRbp0aklHrHSNJ0lQbn0slFMU0slOOhTyR1AsVRVHJFSs9U6T1TRVGJNWCmVlWcG1qzlbpNXIAABVyWVY59kpDXqYV/YDp2EzdiJLY1kLFZbcV5SFpUDajNWsklMW+lNm3NdKWXCwVxpHct1JLdF43okd2LPdyY3qk9533fd7rJfKQ3hfyHX7gt44AseBJBgmC4PhF04UsWGIdh1/YhiNv4mpmKn/i994zjVgY4mGPZBeuRZHUeSpbk+V4NmF/0qsmUXplWZVpmi1WPnufZ/oGg6FoeiaLo2j6RpOlaXoMpSPk+majqWp6pquraNp0G5fmGcZzYOdtDmWu69aewOtsWyXVlqWa3lex7Sz21rRmu0bhjezQluu7ZJvEm71veWb7Q2/8BUnBUvwnC51p+6a5xXA8YtXE8fBm5JRtuR7fyiy8PVHJ825/LJPzGNc10F187XHP9OzfRJN0mI9N1iT9cz/G7d2fK9TYvV9ysnapd2/M986HgJH2GEdl4kk93a/e+WmHjJF5GH+gznpJD6mMet1vm3IkrTJAf10WXMqQA/aKmochqHWelNSoMyKR1UlGs3N7DqeEkPwod8aSPlJMB8QZTFGl9fadEkj8X2EhfoSd+zd3IthJI/wf7/iRwAJKB8BcBCHIWgOSkfylCRwKJEQklsD1pP4Ic9SCkFoSkhfMRFrqjUbwfc8Z0kkKFMwNgCwl7y73wEihcSGDBJAPQzIcCMkD7nvw4JHDoY8PIMw+gi2eCcQnyQwJNEeDg/olQ2dVE4kUUIpQ5io1pxqWBnqNIuP9RY83xgcKSP8fJAxzvhBwP9R6jyFxuAxB4lqZw4pTGelhLBko1qPEeQseCUkuk2IgPkfwexHk8EeDwf4+CIAAGOSt9iUhnj4HvJIPJWIKN8iq3k04DxmQeHimlDYgA/A+B4MBOwwAPiYDOY0fACE0IcjoIBNUf4uyDH+MAJ8jR4APMkMwB6KABj5EDI0f4gBPjAB+IAH4wAfBhEeBAg4MAPjgiUAAYgBx+I3H4AFNA+ECA+DAD8D4gFASojQ5If4wwDjICGQ4eAEB+AQD8AiWgfBCBiA+AYB4kAzqaHgEAfAIB/AID+PkBFA5iEwKcZkf4ggHjBR6IcyQyBjAhHwCEfIEJqAEA+IID4hqWgeCCI8AMzARUfRuAAYAQ6TsfBAPgGA+BEDEA8EID4HwCPKLPCpHbjRHmkN0acPAeA+A8B8B4HA/APG+IOIcqw8Tlj4qqH8fFVgeRco0x8sIDwHiHOQMcyQwxwF/NsDg5w/gPEHN9MyvIjwD0iAPW2AYxzSm1kyPgn4eAeAOq3VyHSk6mNbriaY1AeC5l1ByPyeQjgPjPq804cY8DMFyB+Pg8daJAsfJsP4g9TxjjjriOEfJf6qHOs1UcQ5BQP2cEeA+uEzDRqZGHbMfFFR+B5NSB+vsR4Fwph+vohxNCljwH9KUngjgZnGIOpkR45lG2hjgXKsiH68RIOKH+1gj5EDzMkMe2RmA8B+ttPID6bCsDOIKA8hgDxngPIhFEfI4zjGmI8+OvIx4jxMshc9gZIBhk1JuP4GI/wME9BOcYgo/6RDkMgnCOBOpMk7H/agliLTjPjGeB+Nt7bZEbstbYP4nr6oWB++Mg1sLOvoh3gE41xZM2WNYD/BAf8FOGlS35j4A5Q4RwnhURyKA/kFHweYcCjSajjwkQ4m2FcSLnNOsjFGKiG3tHGPkcAAMXsfxiiNK+NbdY4xTf8hWZw/j8TkICyxdchAcRgxLBjDSHDABHksf8cMmk9P9lER4gAjifHA07K+WY6YUxHEg+ONciA/HjmMmmZczh5H9bYgaIxwAevQVEH9sAfxrzkPkYAACKpCAJnnUwx8+Jyfvn9ixDhBmTKWTgGGlBHUA0UAeTo49caRwniHLmlswarzEZHTsfZJYwE8RUfADtMY3EftDVqqhgVl1pnues9kIONv9hAf+wMKB/EdVnKNnJOlWHGPgcI/tg4hQVl0lBhLWD/2gOEvuZMAx01DmogkFdtSHfRt3OOO1IjwDhgXPWtqlVL10x8me6icEfQUI4HhFAfiONgUVTW9ScWkJtvuJBEEpWdAeOEqnBB5j92rmoT4Pxvi/26MYw5DNV3+4gP0f4/SOcUiPgjnWfsjuDLYW6f2BS6AeB4XTkfJTZXRHxfB8dpup8tH+nK1pNNN7TMxqC+dR0o4pGcVG33Dqn47I2H81AY+kEHuZ0ye8EqnjBqiPCqdVary00UB82JjRwjgNtVQPFZeq78X4pl+VbBDiDGGPMQ+D8ymo2rnWvN/OYdtr9SLVflY3EKNRJkjliEsWNryJ+x64OMlrEOdmGqGEUh+PkD9BRBQHIksoioACKfGov8g+pRJfRAAPGAAccABxgADtePlF21QPoanmA/5YgNTCPBBMzVf0Ud+oQ2ikfA4NaAAqP+r2Li+9xWSf81Kc7ENodB+IzRSXCilLl7OtDQwBDYAL45eTyRRKZBHiZacj6adbapOQACa4D6bCbgqKcThwcAMb8b6hNJNBPq8QDxZCeaeTXLppxDdYf5KIkAvpKwkZX4fj65CxG4fAgSAYsRZIl5OwfC0pBYfzXArAf4YKpoeCprLRQAiApcHghwvprLfAh0IDvTc6fBRBBiGLEpaR9IkaIcJ5JZ4SMowUKjLxWZN4lsLMEb96VUKQ6cL7fpYAR8LqLBeqyMLhDhbImBY7csNTyJWYQ8HolEMiCEMzJEKRY5rsOwkcPB9RWaXEMbi4zUOMKJ4ZWYcDcpmURyCR3B7gwUSqK0S8TB372Z58Tok0TUM8SEUKBEEiG8TkUx6MT5x0VZzkVCMMVUV598VsWcWh2kW0UsXAlEUcQMXcXkUT2Zq8YkYsY0Y5qz9pcRmsZEZsZ0Z8Z8ZRdsYMakWMasa5ikbEbRasbcbpgMb0cBk0cMcZy8ckcx4Mc8dKFcdUdRj0dkV8d0d8U0eMeUTsekep7ke8fB6EfUfZ4kfsfx3MgEgJ1kgcgh0Eg0g5ykhMhRxUhkhpwEh8iBu0iUiZtMisixr0jEjJmUjcjhlcj0j5jUkMkRhEkkkpf0k8lBeslUlZeMlslxdMmEmJb8mcmhYEm0m5UcnMnRSUnknrjMoEjUoUf8oh30n8oxQkpJ2cpEpZYcpx08psqEacqchcqsq0q8h0rMrUrciMrsr0r8iksMsUsci8sss0s8octJnMqUtcdEt0kEuBmEtsuR/Muskcu8vEvMk0vcvkvslMv8wEwMlkwcwkwsl8w8xExMmUxcxkxsmsx8yEyMnEycykysncy8zEzMn0zczkzsoMz5uc0MQE0cp80sLc08pU1JU01c1k1s0018Zc2M2U2ZfE2sqk25hc3Mb83cbM3pjs384E4Jl04c4k4s0U450c5Mcs5Z185s5058t86J7M6Z486p6c686k7Mdc7cIc7cuku88Eus8UuU8kuEdwQEOgiIkK5p9byQlBSIeYsapkck9E9UHwkE9od4hsNy6IkE+UU4lAb8ic+xVx+09q9U94k8+M+YlkaUd8eKB9A4kVBIlkK46FB8dlCKMc9lCk9ok1C459DMdowVCVDs9lD4ktEIz1EcdNDZTgcID8ITCoR4fh8bLAAa3oY5Ow04P7R4TAD4H4YzVLf4eYc5CwY44wT4pIPIhomwTio4eITwGbgFI5KhRbAQ7oA9FMfdDZDZDkCIH6cAR7R59AfwAYRDY0RUCShYBgA6c7epCweZE4h4iYAdJhCyXASCZlKSn4A5E4eQAKYT4YIAHlLciFCIfgGC9ADChID4AaZgQw3xRLRYQYY6jyjqloA4QIBAQY7Q9IgQeYcA/Y5gYNPAf9SQQKkQcYTwEAcIQYcAMIeAEKgQDAPgBieVLkfFRJ8YfwPyo6tiuAT4Y63wyLXquDMa9StwYdZgjIjTQtZ4cIpApAjwioT9ZYyQTy/QeI2jxYu6qyo9AlEomwiQurwy/QgwYcNoyK9qzorDFKuAYYtojIYcIQeYcYt4v7eoOdaorAY6t9Vi3weFaQv4u48C+lcQs4D6OtcrpLhrVKkVdgmgsws1eIeYYaTTCFe6Oq0Qc4flfgsLhomgY7GSULlC0w5wDgH72FhIslhYxzGLIVh4mlZImiYSasJMNti9jIm1IyOrrdj1kCCrVIyQhNkqTTrYfAfzjwP9llRFEot4D9J5EZ9DklmliQY6bCY4H759YYebK89LQoc9n4eNJNoRDQAYT5MAQ7GQR4fDD1pQPAABBVp0htCNqNqYA9qrVIYZKS9QmiaiRrRlr1sBDdnyTIMdsy46CoAFtI9AR4glt1uFpdudptFsc9CMIVcowzsIcdqwcdvy9rsIhytqToY9r6TR9lw5PVxSUp/1tS9lyNt9aa6rnFy8c1CNcg4yLi/zG4cIp1v75MJLIVr1jAmhKdsZj4E7AQjqUsH12AD4ggmtyYj9JV28+tcdmDpNdB9F39rDITgAY94l064a6VsSOofl5bo95xN9tQeN6LIV2YedpVlNy1losdqR8d3avSuC+tHl4NYYf4T9Id01i7ALqFw4fwA9k99jY4fN+AqlyYilul68cdRIPjGoHgD6tlLdZQeAit4NiKkTw1rwYI9AcI3WBIB4eI2wOF5y3ttUHIggjVyY1Quj2FXUetCJDQhz9QQAD5GAR6XDHwQa9oYBOWI4QA81076K0JG9w7sIfAAZF152I9tSzQggeBGl2gP4AGG9Q9u1Eof6GoYCa4P4CAgsSTHwQK9rR5HcCIMdrwYi/xON890jOwfgAl5zKuK4oS0pN+LgQFJVHNp5Bh+0Q4kEN2CslchmQ4pmRUruRokKOomEN0RkjmSQkCU4k8LsP0p2TIhyGolsLsSWSJBp+0GmUYk2D+U07s80t2V8teWMtOWcs+WssuW8seXMsOXcr+XuVs787s707OX8reYsrOY8q+ZMquZcqeZsqGZ+T+YWaMpeakpOa0o2bEombUoWbkoGb0nucEnUeNAeSaBxS8SZ+jIp/qB7f4kiDwYbV4PCGtAAm4lDWAkJLAlmTwkQqokOepekeJJWH6HpVAyBQGdUPudqx+eGeRbOgGgiCokQX5DiQCCsScLBkWf0/8wVl2fIAUPgkMEQkBbZiwipHUNCMAkmdx8WhhAGhxOWepMbXA9x/w/ufOjEN4lOjbQugExQselhj7wxeR+2krNWo+RIpmoKCulyfOh2i2oSD2mop1GQsmfiF5KenxdUd0FxgYH47YkekYh2ow/+lFBWfehYkueEIC4uUWk0GmqYrDHwsWq6Ik/+rUxwsaagkC4qqOsOopcmk+hGpWtOd5AGtgP4QIkQm0J2uIiRt+uukmu+josQcJB8IQeIeZR4YYfk+QfgA4ng/6YQD+zROAe44wc6ZY0wfNJMHSUNkgyDTVAC8sHzLFR4B7pYT4eAe9TafOxEIFr4lcIQyofgcAHG04P6Ymx43QY5LAYwHiUsIQHpg2zQgZOm5BLA4zbttQrgc5/wYAOZR8/szwsZLokMIQpD+gfgYDOoA+NBHiauKRKgQAfAYA4wACZaehHYI8BK/gYAI4TBOQeAAYeIYB/oCAB+KRDgPw8oBgB4A4fAAIeAYI7G3yTIP+4AYxCwt5L+4oHG+25JCz64H7WBDoPwAQHgMAP6bVRe+SdgAROhAlGRHoD4RgBwAYcXAm1OJAOQAaX+n9BuTSTKf4fgBAPgRhOgA4AID/CiaoeAIIeQELNHIwPgCAOAB6pIf4YT6BAQQ4Z4QQA4SIvoeAAIeOfBDQA/MhDQ+YB4BAAmKe/AQIA5Cw0nC+FIYggQt6TXD3I3EMHwDypIBgH3KoHgJgH4AQD4EFHwYIeQGCgJOgQKkAcAQ6kARAQgIIcAEIqvSaY4OBPICGgMTJ/fIaqjqoHxKQH9LYY4gSO42oeAHCxTkKsdcKv1ZnVYZ70YgQcAICf5M4AYAfXfIoDwDmIAAAIIeAEAOAAahWpxFQP+FI4EE3PYwDqrPXP4DwDyq4PixXU6thOVfA2wjxOjITzNf7yoYDxNjtZjQvcIrWrfUXIQ5jqUEQ3quAiAc7eo5q+IHiyw1zDLwxAQZ4yfgAiHdIHBKUHlTz9CxYDAH4AYQNboOAGalnZuvrQrqEIzAQwA1XaxKVlTUwDwn41avpOS4Y1A4vcap45AD4YYQYcNbloC93djAuS83TjAkEIy6iPI1fVC+oR8+XfAy6sVpguYoJR/n1sqPS+o5CFYeAPnhA0YYLwAPwBwCAP4A/lw7gH/LOePZ3aA4fablfjonZLK9HfrILFLLTs9/VpocYQ4eZ9A5AjIjghgt4ea+DgHIFAIp7rYnInfei+oriN1jwOI4tpgfg1zIgrHusICNdf4xqW1X6Cqj9jAPAP4BxDYA/aIcAOGLoivrvi1i/sHjXsSLnjzdz67UHkdmSf3tZOgP7horDzFfF5nurQrs/vPd/m+e3voGFyvnoY+m4c7V4Ofw3sgYDkJGB8Yc4/sSS/Hexj+/HyS1g+5BHy7WHzTe4AHzpbPOv0Iqnvn0nsn0zChGHHwOKy7PlvWHozH9H19xoR58a9n2nugQBNIeYpIOE+8yUT3eKOAgAwAAcP4ff4/D7HAABf7nYAAOb4fh4f4cPgCHh8AAPfw/c8LfAHZw/Y6Pcb/eAAeD+g0sYKHfBwf4OAA/B7DcL4ABwP4AgzDYL/fB/oLzY7xf9IfDjfj4fEVP4eH7/D7+DEbYA+OL+Hh/DgAA8GeAIeb8rY/fk9Aafjrzkzxphxj8MedlOE1f95vV7vl9v1/v7gwGDvKfvb5oTxfwxf9pg0IY8GhrHf7ziUUiw+jJ/f8dc8tAcjksncBgeB+loPYKDmJ/mk2nDwGE8nz/oFComVo9JoVMp1QqVUfw4vLwDxwrlezkGcD4sp4jtpqdsD9ucbxcNmz95utmwnf8GDwXhvuGvVPeOK4mOg8JR95c8ny0Tr3QjNTqjn97/QbP9yTmCcDTtSYJhnwPDXAYD6bnDAR4D+AYHtsoKhqK3akLgpqhoI4IPn4rrGg8+yoqmn7nIm6KCn+94PnGt7srk/bupk8kavC8cbMKvahvS4Z/j5FTIEee6GnGfr5wQDg8q4Pwfm+qiSnud5xv80Z/wCeA+NSQZgngPA/AcD0FpxBw/gO97bqGYbdKQeCkrKpzlQ7D4/l+qMRqkb6DGOeDnxST53keecWxe7Uhsq55/s5HNGL7HEcvMvJ+B+cZ4RQgjHvccMinwiKJj8Hith5JsWGOQ54kOeb/EOkzbQEHCpn8A5BmA5oeA8DwHwYcJ4J4A5DkPNI/AHNjcHGyynVBEiqHwroGB/EU6KkQ89z7FC0D+kxjnGD79OunJ4nO3buug/FG3Of9HxsT6kLylk+DwPllIMD6E22f7rucy4eB4PB+B81DDAeA5hnGY9VEfM6TnCYCU1iAABoenUxAPBhwHBXxh2DCiwWLSdTqdZoeB8D8SmBJqpA8Pg8K7epHoNSrnjxbBDmOYZjgfVjrwFcOC0RT9F3RRt1Rrdi9o2lJ+ABICDLCY5gAPdJ4ADJGljwOAfAe2pAAOYABnAAZn6hVpwJUADOH8sBwADpWSYq2KdzNjU0o3Yu0gelJ8BwAA/J9qIAABtIfgBgAAZanyDYYsqNWxqBwAOQAHrftdw7AlA5n4jWg6FHOiPJoy9EAD+p7S9gBoScEJHAPAByQQA+D4A9ckAqZgBPx54AeZ5wSseAIDgQF3AhvAB7S1BBwYfAEV8cONqEvCjXb2h8AIfAMEAnpP7/YmzkAPw/gNlvaLEDiyj8AVsdT3Jgck65xAHcJ4aieHMb7zlz89Rs3VQ/i9zWUIqY+A/ISLyPhTY/0JCPKCSgP4+C0H4MopIP48IDmNLQhIQJfSOo2U2P4jgGFNprgiXkoMB4NrpL0WkvTUTiwNB+PBcyLoClThUP+Fj93Ow4L0u1GxT0awjOLDo8EPjvwnXQSeIUOn8rnh4jWIkRQfjPL4m6JJg4nmAMU5tRsSIquciWo2Jp5IrmEA/FIvcVIul+jHGof0WlGRcjS/iJMYTwxrMAA8yRek3EphvHGOxfEDv3jhHFRkX1GR0iGjV0UUyUMdkIUI8DSpBSPjlJSJIwI3SWRsP5YkmpPF7kNJ+UUo5SSPlDKWVEqZVQ5lXK2V0rzwSnlhLOWkn5ZS1lxLmKst5dS9l80OUY/JfzDlTLxRkeY9ObjajaIExJnSxhwYgvxklIjgaCP578zD4HkHeX6YSii/TSmfJ6Y0WC/mSjzEAfk2Yfl5maYOM0gDOyZkROOOM5S/z1nQXqdU7EczvMBPFHc8y/T1ntF2fFBZzl5nSXudcmTwUAL/QI89BC+0GoPEmhNFx/xSHmYgfpVDEIencQcf4v51h9H/NKZZ0x/jfHmP+kNIZhGUPxFId5iB90rnnFIH5hjDDnKfG2mI/ZlugozKaHAwAftsVqH4GBCBgA8AGPAgwACQjibwA4MAfxwFTdyMwA45nWgPEAP6qIME+NaH4hIeIAR8iHkxV+TAGAPgBGYA4A6sh4iBqsPgB9TAYDwAiPxrq5qkxpo2XwrIAB+CACAD4EC9RAAca+hIlQA6tDwAcEAH4wDmAHGQAMcgAR5NaD9ZMEAx3H1YaiPEAA+XIA/dE7R4YARkAEAGPx+BKgP2AJ8CBtY+GI2IsTLuHA8R+AwH4DgAwHgDR4B5HgYaEk+DDHAF+dYHAPiGIMM9iKATTAeAYD66IBBj3guuSgGAeATgGXqA++AAxDjPGGIAMI+AwjwBwRSbAPAPgEGDX4MNGLjxeuSPxzOAExCPKlHgZ5lFtnYMaagB4nz3iPGGMM7A+CVlRA+I8B5JWbjzTafTEOKcRXpKAenDxEzOpNQWIccJlsDYHXRYsvY8R8JMWhiEDy2cQknW2UvCoP2XmUE+OPDi4C0gOxSaMY9QiUYwB+MYqZJMR4RHGPkpgcMYTYyQB/GhZQ444sVcnHqo8fmRRWB/JY/xjjHyNOvJBJC8sGKWWYtIjiEkJXxlMp5KwcEdZxobLa28vD8ORf4zjLxHoZzPmi5D98eOGZRn93IHxALEzmPwk9DxHsdt5nQpjmA/5+MiMfUpDyUHDbSAcAOsSE5cHy2UrejtN6R1xpTSrnB4kpB4R0qRkX2AfYhnLVmoXviOY6PAAeph+ERH+I4khJNoNPAAUkfwOdYiAB8WDWoz8ukP1zPN9lPx46919ELHUO6Yj82ISTZDL4IDP1BhXVKixgAjGePgc+0yn7WGOSTft6S8mKBzCocBBEoDP3IPkyhitHAAEfkgePE927uuSUjeS0CSFSZeZLT+zNUn4W1nsiPJ+Cs4YNBHhSkzOgORLeniJJ+KGdD5nfSKa8b8bPJu/hJiOP7FyCy882guTcXMLnrU+fdrmRYMOfhO3YNi/2tw/m+3L/JA4uM8uBvOgP36EUnNexIykE0hkQcedXv5JKpkzDpZQ/iejLvRm/bdXpLyuB/VW48uowH910P4DySaS7H2SaMAthrQclg8T4h8iK8JPNhbOI4EYtOaWXx3F2cDDHOTklAfEl5kxDiNe3EVLFbD5zrwoPygE50n4nHMOFmg4D5sS+AHgOAPEGxrOQ8Bg+VActkQ6EgDsRuwGEeY/ry3wJJ8lASmzZGIYqrpipCRg+qDgYpLXzrpg/bWr2/ntPav3HxuH3K0LJge4sINx+crifEWy+wf4gARuOdaP9vlkySP8DmiGK3jELatOI8GnuIidPvCqiaOLmph8AAm9PzJKnOCOm2NiAcCCgDltqrM5K2okBHFsqvkrh4hjEWgHqYhAjhg/iSBgseLDCkhjjEJMBgF0jIB4OIpOIsiDGEhngfh8LCq9jiQJpCo0ojFGDKI4Qji+OfjwwmwiDAOyoNLjJtQlQqIdocNIwoPzoqwlwqi9wvQsH7l7wtpgIuwwjyQkwwQruEocBhhBwywzQuw2Dww1C9Q0OxIvI+w4ugwjQ6KIl8Q1pzH7wOw+EbQpRDRExEREw+RFxGQyxHRHwoRIxJQJxKRKvaRLxMOxxNRNuNxOxPNfRQRQs0RRxSMDxTRTrExUxVKMxWRWp7RXxYJnxZRZpiRaxbJfxcRcpexdxeJcxfRfpaxgxhJZxiRipXxjxkJWxlRlpVRmxnJURoRopSRpxqJRRrRrpyJHqKIupkJPqdxFFGplpkihi9CpIbw8KHJlLERvgHxzIEEcopD9qSwwI3BwGXjAR4DzwruZC8n/xemho+oYR9x0C9AfQ/l3EgRBDCpkIPR4ICEax5i9FxC+RyGghgR8i/x9oZpvFzH/qQxyRjFGhww4I9QfmggPSEF3SVjCHMx2C9F6wwADyIR5EVp+JmplyRBHyNI1ItIHSPC9H/uPKIRnlGhjoKiUIXmgiqj8B/SWjBoapzpkLDSakbKKM5yLG0GgkWR9Sfx+yPi8lNypJYKEjdodnRymIaynyEjGyiiqSqJOi8yIjySsScyti9SuyNyvygx/yxS3Rhyjomh4y0pujPy1jNDGi/KgoVJuqYjuKGMgh/ICghptvDC8ssh/hPopBnqYuqDEFVF3DOM5hfzNC8hPA/hzo2ppEWTHpvknihPWpvhPygN5A/plhuD8B9hho2yxg/zHyyomMdgPhyA/iGABgPAYAEEVh8AHKowRl0ttreB8q/CCKnTbgeJMLDK7QOh8BgihttgGEJLALABzPkh5mIv7g/AwLPx5gYCDAAhjADwYB/ADCerAKmB/AAmXpMB/rQBjoWB8T2BwEPABlmgGL2gPnUhhgCGsl0hhncnaKrHgxvyjIwMdhHhyCNT9TkgGFszmrJrQC8myihK4CVCLLHHaCuHaLDHhnUiUCcm+g/gEH5qqgDhyABLTAAqznCAgNOAnkVgQEJAAhiUDFiB+ABG+g8KzCqz9tOHagH0ioC0fH2QIG9AOAQAYAHnHhhACMAT/AhnH0JNkEVRkzhId0Mg+AYA/AMAPDNiqgfAHPfICUSL9B8AYHYU1A+MoCuMoCqADmCLXjmnGNkh4N1icBgLBg4CLA8AfCwhDIEr6M5ECh4AwihU8VGg/rpkVmXlnv7muiGHnqzADm8gYAeHAGumIgGFYP7mIgB0WA/Fn0Kpilzo4B4hHhmD7A/U3GmSnsQhHoRwaseCJCMj7CECuCECqMtmFjmg8K7AAliO2hzjsB4MPIBF5GSBPsQkVvMGbMatBnMynwWIEt7DDBDlaAgICzxVoDSg8U8K9GCBhhgAmKoj+ABvYt9VZ1aFGyAQY1ch/lR03MZS2GXouIMrlD7GVjkiqgeVkl6iSikFeA8EvmBigsuk+FKh+LlFlMG1tsVtlEMoJ1wgfQWMMsHIoh/1zkujOP01ABgicgcAQB+APFfsNhgB+AQDOPfCcSxuvSRlGhDsdhj1/kOFRyEWCEWi9Q4CmWEjMCC2Fy4WIDzkEGBlNsiCllLWNipuRWUWPs52Qos1xSbyeCpIzV7xzIHVABwjsgcG2Gs2gkuJJPMkr2els2flGS6OMhOCZWig/2jyENRliHsGohxvB2AA+W+WnmW2ohAVQihCeWqxAtTLlLlCOhwWuR5tAWvmyg/osisoJ1yP3EJNoEDWWHwUthgrmrd23riXU1QgPhhh+AA26x6JXKEiWMdhhhOMzgMB/03ESS2NnXBA/XCB/A83DszlMWoWHiFjziZFdFNjKBHuAXKOPhAMgtrXMsJCjiH3Oo2nCA/v7SeCvkJGvXSjcLohwXY22l/mcmwXUttiWLsXZjGiKXaxmFGx/OEhx3dh/3e3fiCXgj8HXkJTVXjiM3k3FEVWHpkCYoEAH3ozmVp2NN5AfAA3sA/3tWQIIvmiL2SOLVOOHVWzv2WAfiwhwCmG932q5AB34TbibhwAQyx37W7oenNi4AeXE3fhOTbyEM/C8hAA8GYXDCM3E2GYFiEy6EDvC4IDbWU3qYKQVuj2u3NCjn/h8vBg/GAMkYQj8FZ4SIAGKhwW2LHW3mNmlYXsN213627TglGI0OEhwl+jgCuhGDO3AI8oYDKkUViioYjl6D3Ed2qYmu2s6YJ3KjiYp4NWvokYsDoGAW7WyYvEuW0YTLA2YAMA+YzMNh+AMCp2d41yX37pVqEykikh4452A4647skAHokJrCkkUHYCKGW3lj3IeEDmsgD2LB8QZZDt5NCuj2PYq2QiJCtgfWfZJIpPfWVihWaZdjmgcCM2314kPm3BBsaW6lI3bV+QmEskvmR3fwa2CGCC83u1ql45Zl55bFTIuEDq7ABw4Bwh8sOZfjh1dvLsM5iPRB8GVl/yEXQ1tvklaoC05ABgA12l+W3hBvfkPkxAB17hAjBHM1k43EchgAAoeNgnYAcU2Xfigh/OaBH5sZzGz0BU7h+CLPcYFGmvtSAZ+ifAIFiIKX1Z7AcAcOj1IM3jKBgijlejGr2msAHPe1OAP0/GINXVRNOiU1GgOW3tO3Y04tOGI6EEPLyaK5uFGXG6NZ+n7AAXfoOgDMkP7T/Gz3ZB8rHAGG+jHWoBBnUIboBCagMGoriH5Z7AeYLv6oEtABgCjwIDOmlgArzYQSeNOCDBAAhhhVQh8UqSaKsAfanGct+6osoBgAh6MKrK2mz19JSqE6todiJEIB/hA6wC8hDMkToXulZZ6B/0PLd6WF8CExCjcHgkxDGrflu3qyngHzUBHhwUgO4B4CjwYB/0ko8BDwN6iz+kCvgXHoJiq0DAfry33Bw3Ygfr4bqkHZPoM7ORqpKJBjAJxEcyOJU1+vExQbwC/7xEbEHpXbzROJKKJC+71kawa73QiRO7iDv76Dyb7JWk1iH7urjxOoPDw7+Dw7/JV8ADa74JCR1DDlzyTb/6y8BRVxtRDRs8LpKcM8NJCcOcOs08QRJ8RcR8SRLcTcT8URM8VcV8WcG8XRP8YOgcP8ZQKcaxS8bxRcctKcacdka8e8fEb8gxUch8B8i8LcjxXck8lclxY8m8ncnxaco8pcpxb8q8rcrxdQ/TTC9s6C9xul0IgZR8QRKIN5th7rWcvi9qQi/EiQwC/8xcWcyqXScBBC9OIMd84J5C9oIC98x8O858uKSx6c8QxC+pmor8+8a9A5t3pc7qBJ69EC+dFcZdGcuybi89Cw2i/dJc+R69Kw/BzzaXfTjBjAAjqh/gAwfCqT/Ioh8B3uMi01QhPiygwAcB7i0gOGouJDHVbjEQnxhc5hABPqmVn9TFBdUhkR3moiswI15AjnUiGLedagcWbivdmdoHJVbqmHacSQpTSw7gfgCAPhBAPgJgHz4z9uqAAhgBDh4TKhgAcAYB8BBhBZdtZCUAg9qAEEgddB/97BgmFBH9y9x9vIccCw7gfExFdGcs5yeOqL7Bx41wXmZmBlgjKFeDnmRCCipmElgiTWyEF+DP0I+1kF6vjs5iSspqOsOFKikiV1GsyFtF8ETg8PGeOCqGdFtmXtrc/xqOyriQwWG2HgHlxeVTOCju9CkYsj3CjCGtpiJinlMMslWCjCSgfiO8wRruytoehO6stejBHhz+kOMj0X6kmjIuMwPHMebY/MsmcFw+rlJ75Ro+uS5DOiuhPNxewj9KOuwNXCkYg+5iFsJeoe2+ptDCFhzhDtrGlQ98LuynLQ7geB/+9Cw+whxjDOIB4/AUkF/A/iFAA/C+2epeOfEgAkXfGpHcyIceu/Ju6jl+wh5/NOwIzMeAfFys3fR+o+3NDCDC3fGy3+6/W+7jkhPES/ZLvuwOYeYNEM5DbM+ebDlGSkoEJFBs/Tc8TegeS+8knFu+HB4ip/Nhjqdj0rml3khwk/okN+cD3B7zCGXssTYfWH7q2+hCEM/+wygfN+lCyjiCAB9Do9wsd/uN8PF+Hh8H4eH8Pj9/h9jwR8h9Hh9jD9Hv+PR+QSGRSOSSWTSeUSmVSuROCWSx/DwPB8HxlzseKviJM9nvFwvF/vl4vgcP8HgdDuODOF4PB8QweDwfRGjUiERwHg4Pp+Oy+vV+wWGxSOXWOSP4fAAPoAHh9zsGKvw/v9gz14AF/0R4UVAAdgAdgv+7vgAHgcAA/WoDv++39+RxAB+1V2zZXLZew2XMR5/D8AJ9gB+3MC43O60MB3keAai6RwA9gXkBvwCHgMIA/5/FsAj6/Ho9gD9ARzN8XjceP5rjYHNPCPXJ/0B/vwPv/O9WPMd4D/nPwH0Z/Bhw3R/waXdvk+Tkev2Wble2PvyVQaSPj4ff8Zv3/f5SfOmekr7PzAcCK+/b4HylKMQDAsGwck8DvaQKUkc7CRwFB8Mw1CL2EGlLgwZDURQdDj1vok7nRHFUVxLFcXRfAsWxhGcaORGUaxxHKxxvHUex8lMeR/IUhvTIkjSOskkSVJUgyXJ0WSfKMfSbKUqxjK0sRhKksy49cty7MD9TDMcrzJMz7y/M81JZNM1zdCE3ziy82zlOqPTpO05TxPM3z3Pk1z9P8z0DQUyUJQsw0PREu0VRcs0bR0rUhSMpUnSkn0mzp/k+kJjwwf8AI+6SP00kRxs4EcTpAc6RQSkZhpC76XwtM1MolTiPnuY7lVCj1Rs4iVTI8fFUpHViQH7VyRVgkFZJZWlDOPTVcOyY5BI+niQV+61gpDU5/nAUdVI/Y9RWUkNmI/ZyV2hMdbU2kCDMpbNRJDUtvI9U9xpIeNzpBdKPXWlV20TaVb3if95166N7W6kFv30lN+pJgCjK9gkwXfajy4TbGF23e+H3zjiUYnV9Y4vQGDHOT77E8P4AmMAIPqAAJnok6p4wBU54s6Dg9vk+RPHGoBADGY7oGOhQ/nOR4fn8HJ/mAHNWW+6w/mG7R5vkB8PH8P65acT+WHfUB8Hmf5z4xRmDEA0AfkwD+YgCR+amQB58MWeK8AAxg/B8HgwO2cAPkwMdT6NXbv6UeADnORgHngBOpBzvjkgOYQAngYB4D+o7BAfwhGAcAZzAOQJ/ACfDY5nlTLF+kDOgID5BA+SYH7mR9TgC0h4CGwQIH8BA/gJwA+CIMwPkMB5IaOxmjmCxfGGGc5EkOcEJmAHHg+HO4BmAAB4EAMAfgc75wEOYIHkQQggnIIYQHwGB8EwPwEbXLlAn9da0JmB5NRDk4Ee7pUAwxxk/MEHgPhUgPAeBwPwmZohDlJI6OMpQh1YNKgOOeDA4zAlDD5AtYIwXvhgDgAB2b5h/tZgmIMYI4SmFOIWHxwD+FHmWby7EHgP4JCPJwRUY6pxnjDHiQgwQ/AcD+A4H8BwOTHkYIoUlTkFiKr6HiOeK5SRjnjKGH4PgfjsDDGGMEeAcAcPmAYdV3QDxhiDJ+UwfA+B/B4IdGB1xZh8GpVJDs0RFSbxAIMM+DR8h4D+KLEsRwMy5ILiqRKKgj20QabTFooBQx/B8IgR+MY+A4B8JoAgiRHQPjjEOT8cY8D5RzjrDZLCgR4R6M4Q8TwP4/QCJuqBpTSDoyGH+Bwf4jgTlyOIQMcRc4qAPKA0ol0HClIJksHgiDqR/wuflJ4B4AC5yiHmUmIpCjpx0B4ROO5Y5Xw6D+J4AAB2xy2I6TweL4JdgxH+BiX5sw/kcbyI8cEjilAALw4wH7TRxiPmdHIPBanUx5GHNUmgAGcGdm20Roh8hAB4l5KxSRlhwSwOtOGdE6o/u6naT2eDPZ5T0EcAGYQjxABHE+4Qg8/Z/kKAHQKgh0R8xzoQAGjdCwYB8B/Nc6oH6IO6iuQofAAqLFFowlWV1HCYznLnOsio81OTuVDSaecvwMUrAOMcT44TvxUOw0of4AabTOpyHkzgARgybp/UEtU4gfjzqNFgfg+AfVLnEmqp85pZqbpCPM6s7j6M9kOH8RwPJhIVrBQOmIx1ZVmiu7qylOQ8EggwMGatQQDHfEePeUddyFSFosQ+pqlYcGLj3OcH436qN1sKT0Y4+5d2JsXJgH4jpaCfKVZG0J5R4j3HzQKy8cx/lzH/ZuMtQH/2gHHaNoleGe2nkzX4yx3odQ8IpbEnSoCexGlRdYDzgJ728serCR542lDDuLZaStOZMHYjY5yTtQXPxroFUcfjW7rWpSipkmRNBH3eJ2T2BA8A8QKgYD8h5HCBW+VPFQpMKxwjjvfBYwI+b5A/WCIMQb4L7v/Q9AGCdpB+FDtODw0V2DjFoLUWxsZcBHnQNOXcwQAB+GIAAD4H8SyOAOnU0SyJf1wOarQ7rHA+Acj+MSsEYD33w3Oa61IvxNbp1IwVjDFqg2DGfNC2M0mNTTE9jydEAI/psY9B+Iye9LBx2+PtFQ15ggEt5oEPgCJecmm5uUOAELmR4ZUOY6HLF/B+GsM6zPACTlLHkOac8uZ0jqEeQ89lYSFyJHUH8rQoCpUPLDI8IfTR6CRIW1Di5AZ/T7rbUuSvR5JdWHtGe2jV5XtYkkX8ibW2t02IFQmfe3+vtfoE1Se1xuxNioDX2cjSuyiVa52glPaafNpbVRztfbCNdtbbRnt3byL9wbhShuRN249zIi3RulDO692Ik3fl7eK0d5ru3rvbe7Gd87632/nfu/t/yt4DwLgdTuC8G4PgHhPCuF6O4bw7h6TOI8S4mkfd3FT3MGXgvFXhJ2QWsJCzg6dyiwNW0kSNhaoDYkHVW7HkiwCRMbPjo1G3GmNq65WR7lJIR+8fJHyI6BYeTcj5QSEZ/K+TLlauw0kNsCR7PQ3zZeIx9Ur0X4tvqBIOgXK5kSZXvQ+g9G6NqHpPLumEgK30/mhx2NMIYUSbV3YetHx64Svr5Ie5LYJEV3ofZiT9pJF1lB/bSPryY93DwPLyPrd6D10kvdyQd5513tkZZ/FEj8B3jtZxvCHZY7zrna2vAkk8Z3UlXkO6dFJCrjvqpPL6n8d4LeGLwfjhZbL1uTMgPtoZsd86o/jFztGAHEiY80PGvHGP4MY/yODnj4PkhYfx/T2Os1FupgRxj8V23JTUpGOfZD8BgYJQDggzGfKdYIzDUj8BHp07w5xEMdEMXNr8+iYkuziPwAYnqiLdHAH4iWEOyq8cPgVsbcOCAgdwZkkgrOGQAOhyjy/0dS+GleHkLwHAAcMQCCU2EOHOBANEGAB4CAaee+O+ck/0Hib6x0ECGAdwHgO+HENmzSx0D4BwEAOCMiBAkENCI8/UMEAGbyca/gB4AGH8AE/oD+pYIcNwM+/0EgciVkzUD4AgA+EIAMdULwTKMqYcM6jSEMA+AGAegEEeVY6OEGHgVgHgDCHwDCH4BgHiHiHgjIBgOmPCB8cmE/A6AELaEMA4dmU2GGMWHCEDDYHgBgPCD4ASEGAOGeHC1IHBDWBgH4AwD4wWAQK0AYAeAIGeEeEGVkGeimAGHAGHFGHOECBxDaBhCQEeAYcAAQB8AwqGEClK1IOmAAB4AAAeEAAAAAMIQaUChyVIx8NEEeAegCIrDIgKwukqHgKGjjDgIQKcbALkJnA4GeJqIiA4xaK4VOHOJ+HwKci+h2h8GeHObQHCISIWJiDiHwh2A8vwGeIxFrFAgKokHCg4qQOg/qB+A8KkB8jsIEay1sH4B4A4AEdOGAHAji9ePar+j2h4lpDEgEJwlwiuPsHmHya2DgH4DiiKk4LkH4LkAclDEYA+GfHeEYB+U4K4vYHjI0IWl7CSHOJ4QTHQDiiQiUDmjlH4wgGdJUVDHossHxHMaaHmH8Dga+aut4E8h2tQImd0GeVdIIA4a7BYKaU+PzIcliD+E/IipCGOQAkFIsYYa2+JDgaRJubAPst4VABPHjJOB+MfJWZouFI0uQiWbTJoH+HDI4l4A4DPJ2jUA+GZCSWwU5KFG6kgH8DjKTH2qiiWqHKgWVAAjYjcKbIZIao0qglknSLcnYvAneb6HgA+HAABLMHjLRJBLWJ2BGE/JNHfLkU3LoGOHzNLMYoPLxLAEALxL5MYkOCejkkyLaGQMZMMYSHmfAn2abNtMbCTCKIeiWU4K2HHN2XAA+HxKojajg5AQGUCo2sBM6pCsgncngbzNsOjNQH4DnNUl+LmGODnK6GeiWLlLmKAoJOYhOiWHBEZOq+yDGH8nkA5Aea+A/BaB+GAD+RAVBOkHnF3BfOXNNOapYJiq3Okt9OqcIEBG0GGlKKdCyQJK0o6H+o/M8iqqupIb6dTNKDnPQaRPXLVPaH+GNPgB/PkbBK5NlPtNrQjPyD+EBLdP6H5P/QDCBQIAAacODBe51QZF2/1QgDnQkGAcBQqInQvAuA8ABQ3Q6zVMwS8MsnKtaZeImsGtmZ0OSVYkrPTRerzRiHMDmw9RtPpRyPKuKl2rYLkEHJmK7L5SGl6BjOCwIB+GMOqtZHoE+rsI8GCabTRQkggnDOjSqziTuAwAZS0KYakYcPxGBO4qisDRKbqwPNQI+HwZ5MWiLPVJALkEcLmHEDzThHfMJJWbquFVKsykXJmPpN7L8DzOCA9CTRqOqPpKC2GsrVLFWH+AdUfRxOmMpHaxZQ5Uu1NO6uzU4h3K6GPU+HjVCHOzmv6IXI5VPTXVVVYHzVezbRwK4mTJdL6szMhVxJrL6kOIYa/V8adGuLdSWYSKUHxNpKKH5KRCQAcsVWUqGt8J6WGgWa7Q7HRUyTQMuVoJiu5WwpCu+nciMIUIUDxXAIQa3GmD/V8XAHwnvLgE5XQgIgOIVMYkwA4D8lpLFL2ISuQB5Eqa+iXXsIGWPWGoWwwaaIVI2/oqCt2nDHeOqE+t8rMLyD5QEKQhiMfC0M2f6IwLbYpPcJ6J8MEKcvHDhDjY6H4f6LnGlWAA/Ugh8VhEHHAZ6IcIfGMiCVgHAKcHwhCB4D8otY+JpRqGOxPQWPKjchhHuEfHAKekxWQAegbaHG0YSwkWYx2A4nTQ6MJYbAKy/QLamxoxszMLwMIx2zUHhHYAHa6H+MRbAmFHjQ1RwEGzqLux2Z6NyIeL6jINSHEpUABCkD8iTY/FzRqGGL+naU4o2LuLuaax2x3cHFyEBH6ImrmEGt9TBcYBBGMKYx3S65q9oGApeh4HOzHcuIUMXAkNSAGHgBiO9dAdQ0mPlWAGAkwU5DOIkz0+ndYEALkGADGs4rGAO+mrOLkAxQIACGPRqHCcJd6LyAmbyzwEffwAFcGEAOBSmA+EDfWzlCiAMA4BgB/S3Q/WmQI1mPw1cMubKJZMw83RAQLg2PgG/g6Mtg+JW9eH6r62zhIQI1qOQ9CJLKS9HhFgyQG12PajEOQMoJS8kOmxYR63Q2DKzO4RgzVciS0QK2OPu2SRwmxiI4wSM4vioMziuSHitiy1xi4R/i3i81hjDimQzhLjGJaQ1jNjOJBi3jVjWTvjTjeJLjbjkJJjpjrjQOOaqH4aAH+nC+kD+rBj9jxjyOMzWH4cEB+BgB5CgGMAONpkIJCUzFeAQeOeSBEAyMAEOGIoWBBkjjYWkcAKigjGMgCHGGGhjk+SKOLf0iUh5GKxMHmiJHRlVjgOMPkPtMgIzA6H/lkHzlplqUmPkQSyAIzGTlOHy+zlqXAOOPsKBmKIwHO/1NpmVmDmaYZmhDIGAAnX7jdjeUnmdJiwhDIGCHnmpm9jXnAD+DhnFmMg5nNmTnRjPmED+npmyaaILnjmXmE/CqjnGZZnzmBlVmEB4BwgWzfmiEeLhNqKdmsxfFuAAt1ncGOEDNoHhF7odkMMSpXmiHABjNoHwAJKxjwUsQ9ic1EM4YFkJjBn3mW3Vpc6jpg8HplpnppF/ptpvpxhHp1hzp5Ydp9U1qBqDqFclqJMzqMPZpZozqQ7ZqZS9qdqbqg85qlqnqoTFqsMxqVoHqxqzq4Tnq8o1rAMrq1k+lcrmJViDkjrMtTrTpXS/rPiBenjkUDhQ1lrlm+MtrqJJrbpJryJfr5jrroV8H8BmI8A+oWH4AOHGAGU8aRkDphsFdCD9k8byJ+lfdlF7fiMTshr8H/FaAIMEiIHiHAGCHABAAwNshDFVpdrMx8A8rGKGgttG0GnAD4ZDrLreh2QqbSjijFl/binAszhw4nrMIft3W4H4COKDHREql6rZuG4jsELkGcOqfAf2OjHRJgA4oPug4fukD/J8akb6bwACIRu0hPu64bukH/vCngA+clvNXbvRtZr9umJ2OsdDmSHxu0+Js4MqKBVUIkIM+Bmpv2mhu3plsEM7LZuQayHhviD+B5uFvpv+W5LYIRVIGfwfwMIcotiXsDs6A9JHuxGgHBvjZmhCx9pbwqMZxUHwACHmHhNLvjoiMTZbxWLMOkGAU1sSIQDgAxviECLkzTw/rwQHKxyLnSQJyRxwPxKxrvjC3GU/sBnnyXpxylyvrE4zy0LFrJrVy5y7zBixzEQNzJzLzMJfy9rdzQ2XzYSBzdjFzhzfzkJRzVr7zoThzwJNztxBz1jnz9z/0AST0FkL0JlX0Nlt0R0T0Vz5rn0V0P0R0byN0f0lyV0fmZ0v0ryr0yMtF3F50/1B1D1F1H1J1L1N1P1R1T1V1X1Z1ZvT0KLFAIPwtsUWG/qiLN1kPv1oUR1tqr1wQz12UL16OKUD1yPh2CUF2Hqv1+Qf2QT/2Vq6Mr2MPb2cT52hq/2l2AUd2vrD2z2b231uLH2mPZ2qTz25rGMt3GPX3KTt3Py32YQd3YTr3cR33T211r3D1j3v153yLD3UOR3kTl3pzD293j3B193F332F36LB3+OP4CTj4HzH3gQb4gTf4kLB2L4V2T4YK/4cON4sTd4xzP4oQL5CTX5Hi74L4r4P2J3t2/3x4R31NKWcYqhWJIPGMFygJCtsf2c6JEMCLA0607pURz5TzT3t5ok0WX5wI95+K956ci8UHf6CK/6GJoK+HuQf6Pzb5nFz6WXR6b50K/6j6eI/oULD6v6KJQ2aPx65zj1/6UI95t5sI95z7MJZ7K8UAf6qK97UK/FqQb7e2j5f8D5v7CJH7v52JB70Vj76Jf6uLB8MQJ8Hzn2Z8N7p7F7wJX8aWb8eJgqI838mQH8rzr8KLz7mgr9RFJlONiHAPCDCc7c6J1pOJN70Z2OmrcgyV85HQ5EIDgJ0Oo6ol/9Cf+MWOrDl50lBDOKaB+jkb7vf9qPZ9Lzz8uMYOqGFCKmwNCjHdlCYD8AgDCPOCAk9+kJJ7KD5BUbArdBmI8OCNf+zF6CADBcoGIpUAF+KARCANSfENyB+IACBwAXggDAH2AHgA+AG8EG/4hEYlE4pFYtFG/F41G4g4I5H3+n4gh3+AAe/2AAX4AB+gAew0G4AAAD8AB8ADCwX+8AAPA/JJA/32/38D3gfJpLH4AWAAJWf5LCAPTQAeJmD0BU4WAA+/g+DwBBADO5tXAAMABPK4gAdaYIA6DcY3GblII9dYrIn+h38BgPKCA+AwHwEB5g4HAMB4PA8AnDOngCA4H7/QaHRXgeDwPgYH3+D2BRwgP3+BgegwGwWAcDwHAcD0Oh2AYHwEK7XwAwXgQJ2GA8HgeATg8DgOAYD8Kh3gYHgF7xz4jdOhF7v04hekO/A/cN0cD5r0GwwO4HgOB4PuA4Ye8B9r8rIMvRjw/D4Ps9oMyfB/XgOD2CYJwM0DgHtgQ7dKO24HtScJ4J2PgPK+A54OIHjXgeA5DwYeCoOsurpQ6ibqus7DtIeYJ8DgPzXmGYQHwY/R/PSv54B/Cy4vi4gfn4H6Tv8fA8D9BMXGGcEfvsk5DmHCcgq9C5gnCfA/nhILPxm7yvtPDMUQ5ECgw/LqOy7EgPxNFEVA+1QPxfHUIHAk8aQuk7LKI+QBx3HsTxSD7tM+cMiSMr5/sNJcEgOx8oymrsCH+cErgdMhDnHFEwLjL8wRE6bsHwH6HmGfAwH+zrVRceEdoSD5wRmP4HgMz05swpB8JMz88q5HavT9IrNq+eFBnAr0m0MpspK8YECH8ADvRqAABtlZNKS9aCI0w6FNU4f9PVABgf1HBh+B8AU21VVlXPgiCjJqq08RRWz9zVP8gK+YFfWBCJw2GeCvADAlZWUttmqaOFpI/S0u2o58x07LdHtVQ1SwrNq4Q2B5BXKj6hs/DZwB5DkfYEf8+SHXUgwVJJ4V/Qs/IhKYOP6B7E38z1Ip3gaOYLEGDrxhNsTNhhgwzh70VQYad1WQDSTnjJ/nwDmkY8qCvF/kUf5I2ElXzlJw5WPzJwI8l/SRrUG5qjWbw7nK6zGv7uxU05hmHbwcD9CBw7EHysaRc1BQmfmmqgA88j6oifv9eGq5NBFg7qe8HA5u9SbAX8MnvseyItszrbQuUSQulEisYA4B7fuOhbqnbJmAqBDnBHaN4wQZgHxudA8BH4eP3C4DvDkYPvBq4cZS8idh4Djgcg/ULtjCePy1vPLcw6fNLi7FkJOpqVg+ADDbrh4AbpBqeIR1XWeciuMEAraFM83MfgAqCTEB0XeLB0R4Vl4Kxp4m8CJ5ZSwFYDgWkkaUHys1egdB6RQTsFRH+MQAKyCWkve4PwHj3k1PgaOOB8brSNMYJSSsH5LB/iAROUgqAgCpOGK+/FJT2HFDwfyWV/iyXkEuGAHggkA1NuWOizWBJIIFupH+MYv4gFGA/SUt5cCj0oJSGAowkb5HXEdLgACEZEISJRLGShKQH4VGgbevkATKR+IziMAE/pggYPIGAD8YAfEJQ6gKwOA5z4fkfL0pcuTGIeEUcrH06EdS8R3I5HlLrWkbyAj9Io6cgi6yEI3IZEBOpEyMIjH+SylYfJiUoUuPcmWVygQ9JtEEkjrD+LhJWTMmJRM2lIh2Ux0x/Hvb1KuVsmmByQI1LGS0fJby/bLK9EcwJfTAmMRORxcpdEXl5IyYsx5oTJLjMsi0zZFTPmhMaaRQZqF5mJNmcA/5tl2k5L+bE4ZWzjI/N0ik1pATnnRKCdRHJ2ETndH2eE8ZLTzI3PUiU94eT5n1IqfhGp/ERoA5agVA4+0FOpOWW9C6GPPmEdN9BM6MUZo1RujlHaPUfpBSGkVI6SUlpKxZSlB4sUmpZS2l1L6YUxpDSiPUpZv0TnTRVatN6cTyp0winlPZ90/Z1UGoVBKiNpqNUehtSXN1LqZRSXNEJW0Sqil2hxFqVEhqhVeOlTnp1dq8tCrJFat0JbJVascjawQKrFWurFbYgVvrgh2spFKz10rrWyqdNpzV7gNXKPFerAF4ruiGqkoq1WFWjX2WFhLGS4WlXmv9kUwWHIlZSiNlrL2CkLZCzkrrHTDsraE61mFp2JlBYu0zl7PSRqMV4iJDyKDjImP6OYxyIiPIiPgiqUSJj9ItHOr9o1MtLIoPya5E0+EQtoROZ4vyKuMIgO8iI/iKobuDcOpFxqd2+uZcsiVsiINEIpdG6ZEbrEQuwRS4BErhEVuItK1CYabXgIlcqd87SI22vORS6RFLqD/vWUQio/EuTRtfLu5FVb+EQv9dDAF6bq3XwPgmY99YoX3s2REnQmA/ARUiXA0heh9jPwIP8c4/7pDvF+Pm6uAx3n7H3e0iQBx+BhHwEYD4+FypcbyRnFGKLi2Tk5b7FZELdD/xQSKtEnyItHEAQoAY4yCDPGMCciA+wJj/EmP8RI/xeAYEMB8QwfzYj3toOwJ4iAwj+RESsla6ljE6EYJ92A+Anw7DMP4GY/wYWBu9UAfA+RAjxH+D4lUqJUD8lStKXyrRAltACOMuA5x6MYH0HwfwfNEh/F8H4GGKAfj2DuPfIg6R5jjAYP6Xw/AMB8AIDh7QggH3CHGM8Z48x44rF+Pwfg/R8j+v1fTBczGlj5IWP+CuwCVABHxFvSBECuD/J+IcBgMRxEnHuPG+I+NOj+D8P8H4vB/B5usJ9Bo98AjjHyOcTw/rqFPPoB4DgMBjgfEfcIc47xzjzHuUPF4/h+7AxtWTY81Wlj4BwHjTsa+GD4DCPGViXWMFcx8I8YYHA4jgM8Pced7cYOCKgL8Wert0jzH+PYiI5x+jvF8P4uhTxwH6AYHEY4gR/3CHfv7fpEOB41D9hizug6ij4HwPzhx8weDxH4HkfA8b8LQ4uQjfQ4+ODgP2AfkJEMYB5H+L3Fgp+UY+cYPXlvL+Y4BKeAA/QjOcNH54O8ee/bhC/KGUMPyctjdGqV0jTofOHdNH504OdaSJQoE+PPrIf9ej35EP8PfYcWCD5QIcD7jHKjv7VeS9nbg/jM5wMAD/cx5667vyonnjtBZGvvuAPgfB4j+6aP8eY/A4dE4tjcT4j/GcdB+OfkF7bfdgF5iwXPKBfifcYPZDnLuYD+yIRAfgHj9eiGOUXuY+RnjH7u4y6nB1KYarzoXcQeNEe1f7TT3ZEQP+96wHEcQH/hdduQ4IH2LNzD7xd8wf4e5pD6DmLJL6gPzt7nAH7fbAgd4fIT4c7GDvAoQiL3SuzhKbz8wPwHD9K2wmQPDR7qi64H7a7jgcYB4Z5yjb7Tof7cYH7UL/gP7/we4kQP7dz6LlS3rerjjfLW8BYfsBzgQobGC4UCi08Cy/kDAHLlQHi2zFYfzaUEAiIAAA0KQBgGAQYQId4Y4ejw4f4fQPzcQP8MIX4Hz/gX7zL/4Z63AdL/jmLGAiIlYDAAADAGAYYkzuYfgX4eblTX8FTT0Iivj1yx78wP4GL9LRC/yra/8KImYBwAgCAQYQAe4QIexOQcYHAf8S4TgPwzgHAc4TgA6FAY4YJHYRgcYYYRwPC95kCjAHACAIYtZty3AfAY6GAfwOIfwHAfoHj1paD8rYYP4CbYbpofwOYfofcVRSiXwh65oiBTbAYf5Tof6SjDy253Aiwopoq+y25cok5tcXilLI8X4AbcDwgOLHLBBgaq0Z61oiT8kcIfwP4QYfAPgHjpJ+0c0P46EdUdgisdy+8X47LiAHBFAfDipEEfcfiZEIyezZMeD7IpwpbOUJ8ZKckhMdshaf8hoP63ROxQTRiWkikiyUbvyp60skSxsQK0jDokApq+ayMfyx8k0k5gkjChC0EmacUmo68m8mcmElTB0nAkEny48mUoIi8oancoso0fsnSrkpUpchUkisMp8qCHsqSt0qkqsnMq6ucrMqspCoEr0qEsCossUpcsipUs0o0tEkslcrQjEpqi6mUucukusuylz9hnBLsuUu8vsv0v8usvJs61STK1kk8tkqct0t8i8riwctUoMxErExUxYiEyMrsycyky0x0zExczSz8x8nEzy2E0EnsprJ8dMykuExsz8zkt80TBk0kw800nk2U1c0c1srU17ZE2MkU3ThU3ki03yb04EhM4TB83Er82c4kfk40hk5cdk5sjM561s6Mm06a006snc660M7Mp0xTzy54iTCK9i3K3a3q38fKn02zBgmTviXq5hcs8IiK9DAS9TCyP09KTM7okU9qxUbYiK8zCQibAIibGU+4icZDFKX8/bJUoE6Qf88c+bCc+rCq9jC4ibAqnM9c3bJa1c49CLLdCdAs+1Cy5LDFDKUVBgf9DswoiTD7ELEbckpzE7FLXzAjF7GK9TGj8RQTHLHbHoD9DI0klzvslMolDrlUww56XzKTKjKweDLDLQoTLrL7MLMbMrM7NLNbNrN7OIpwqokxYwrgQYYIBjPb6aQFFQY63wRh1KISfAiTSTSjSzFTTIiDTcFQHzUDUTUjUzVAiDVTVjVy/LWLWbWoB66wb4fYdL4UdaHlNTBARgQgltIj9rara7bLbb/7b0ZrcMFjczdAkLdbdrd7eLeZ90HLfDfS6wd4fbf7gKodDc34Y7BB4oD4zq/YqLjLjbjrj7+zkYf7krk7/gkLlTlgiEATmT6h9zmoH7m7nNGoe8B8BlWNI0pNWgH5poD8BNXIrj0gR7+LrSWdX4f7sDsQX7sj/jswf7tFZDzrth9ztwH7uAY5o661aTzjzlasXqcr7NbIH4DwH9FjxDKL9736DTx7yLydc7yz/jzDzS9TzpixZAPj0L0dIL2znofolNfccCvz7IDxjgR0jdXIiAA73tg74L4cZtcrMT5D5T/z51dz6NND6r67nAoq6zE8B7DUo85S3VkIP4Rx7Vkraz+Djj+b+r4gf7/D/VmD8EALzsAhkEA1ecBAR66wfIb4c9YljqmsmNoBjgRlolOE8kEYOMEsE4eEFLT0FkFwd8GD8EGcGrmMG8ZsHLnAr660Hwcbus/Vn5ULTwRk/Mg4iUKUKkK0LELULkL0MEMUMjF0M7VENUNgf0N1ZcOMOcOoB4e4e8PAdAY4ea+K7ta0sK3QRlioRlSr9rakRkR0SESUSjCES8TMTYBkTsT8UMUdecU0VEVQlYmcVsV4D4edfwdjHtECqV0ssq3QQjBARwH9noiUZRkBi0ZwiUaMaYiF7QokawisbC7SKBTceC60ZlNNwF5wH4TwH4oCgIkFRyQF8lFNwAYA7RCC3lsojl+CPq5VFF0lflj8aQfhbY/toojV/aHl/t+dWU4a3QcIp6FGAyh6UCJ7nU9V5ctOBzHKLmCUzM5TCEdCZ01MqODEtrFWEK8UliEU4uD9FeFGDszuD4fgB+F9/OEcreEsxIouGt92G8yuD63GHihWH2H+Bk49B2G9FU5EseFs/2ImJWJGEeKGJ2H2KdD2J+JuK+KuLNFuLGI052Jcs+Lk9+L2HMyWKM1M7svkwGNmNuNyj8wRzMwmMmLeL9B+NGD2O062MMteMeEWMuAEmOPkyGP2FOJOQuGE12RGG2KWReHuOuM0y+PGGOPU7WQc0OR2IeQFj2QWSeRWSs72T03OTNgmSGQMn+KmQ+UE07aeTdr+VGLWVWSMzeUU5OVc2k3uUhmtJU4OXU1GVxg2OeP668+KRVBKbVwGVN6q2YitCK3AitDt/Bmk/CcNFVALA+Uq9hcua9CVAbClBTAy91wmcNR85U+VBGbOS15M+lEdCuci/OcdHjIuU8ojMIi7qcKFB+ddEQiVA1Eq5meN8+W7MAjWfEkIiDRATAP4SNcF9uboiVAmftEmd7JTHIfwIwH4fAL4jWeVIuekpIDOgubNJp7TSxTaIjLa3jFDFbMYYxNQvYQ7NQiAd1edLq/NL4qzqxX4GIvkjYYYcZCUieeeTi0gDAf4DAHw/YH5SQeYmOOI6aXwtZf7Kwe4d4egMdO4GAfzQIDFPbUYX4P4e4OdP4f4dGn7VrV7twADWgrAB4b4X4RgGYeOmIfYfT+2cugeowCADA8YA5SQeQALj2XbagzxMgA7bMEtTdtjcTclUC6wX4ej/4vTdzeDeVZYP4+gBje4Y4R4k4b4TwPbujgIfLGugWWaz72gP4AIAJuAQZSQeAGGgxMDqokLjTrNX1pbTz/IX4WLlFYrlZDgcbzrIgp7TtZznAA7FAb4Xz/gfbgIfe0qpuW+1JDAcYY4eO15H9gjjDq7rI0gC7+y3xwUXYX4UblAfj/2yNmbmIvTmkA9aAfgL+5gZ+526G6OvG062EMAD4Y+6weBSTpwPGkbfVg+zAA7yDr1ltc4vj/jj1iG9bzwoleT7CNoeAD+5lRW5++95Wj6oAfgP0EW/oQ4fHADpWbJVrxe7weNlYf7GFhbFgTby7/weRDlfLmIJ9Qlir7AeAB4Y+5YffDO+2jrhGW7BEEQZ4cfEfEvAWwb91o7+T+nFlYG3YXtp7/9qL6NqfD+98BIT/H9VvDXIb8c2Z+4D/JAR/EjqPE3Jt7on4QcEkEzbrb9pkFbFjmMF8GNubztuxpbetZ/M16O5nMHIW03Dro4rnMwcfNHJebNw4A0KsK8LIekN1xrocMQP0MtyUNIH8Nb6Ny8VdzMOgk0M25lzofYee6HMTou/LBjGAD/RPRfNXJmX91oAERsR8SMSYyoed2gf4TgP9ZwPMTwo1gQYZHYZm6wT0VJLl4GtcVwrgbwA4DwPIfIY4fJJ7RD/O/HQypTRAR/RNNfRnNiEYQw0cKoYZE4OLAYcYh5Ewf0Tgc5n93S3ARwl93xLgfwAQDAIAfkOgEAH4cIY4BwHJHYfgHJ4SI3beoi4/b3cHNPAOdIi+BE7E2blTfPJG6/ErT3ceA+TGW623i4cYcZBgcDp1ivjniXj3VjZC2wcfRJXonnk2p8fV9/lXbip7Ffl3JDHwfABDpxKnWgjdN+XOgeS80vouWoicluXvpGZWNOX2VuU3hcpPo02vlc3/qvonq84frPpnreI/p2PPr+MHpOMXpuWORvs+LvqWV8onruFntWOmWXm8xPsuPvuOYfufqcsPt85nqGfPvXto6GNeN/wvw0wHmaO2InxaxHxnx0RPxy0PyHyKy3yfyixny3y6wHzPzSuvznzqtfz/0Cr30X0aqP0v0yo/1H1Knv1f1iif1316gf2P2SeP2n2qcP2/3CbP3X3aY/3v3yYH4H4KW/4f4iUX4346TP5P5SRn5n5qQH5/6CHn6X6Zsn6v62UH7P237a037H7vwX8Cvf7/8Uwf8vzH8/9H9Pzf9f9n9vz39/+H+P0P+f+n+v0n+//H/P0//f/n/ogD/gUDgkFg0HhEJhUIcELh0PiERiUTikVi0XjEQhsZjkdj0fkEhkMbkUlk0nlEpiMklUtl0vmEVlkxmk1m0umc3nU7nkXnM9oFBoUEn9Do1HmtFpFLpknpVNqFRjNPqVVq0PqlXrVbgdZrlfqtesFjplislnodmtFrnlqtlvpNwuVHt1zu0out3vUjvd9uN+wE4wODlN5wmHh2GxGLg+KxmPgWOyGMyWTxGVy2EzGZwObzl+z2fveh0V30mluen1Fw1Wrtmt11o2Gxsmz2lg223rm53Va3m9q2/4FS4XDqHF41l5OT5HLunOx/N6FC6XToHV61t7OH7Hbm/d71/8Og8eA8Hll/n9Et9XrwvuvXt+Em+XzkX1+0g/H5j37/iOP8/6MQDASLQJAqKQPBCJQVBaNQc2sILHBsJIVCkKoZDDdw0rcLw4okPqvD0Qn/EcQxND8UQ5FUNRZDEXQrGEJRlCEaQdG0FxxBEdQLHkBR8/8gP5IT8yI+0jPnJD4SU90mPXJz0Sg8spPHKjwys70sO3LTsy460vOnMDoTE50yOXMzkzQ401OHNjgTc3s4N1OTbzo2k7NjPDXT01c+NRPzS0A0VBM/QjOUMzNEMtRTmRIsNHOJSCo0YyFKOjSTj0wptLMpTTlU8pFOMXUTL1BUNTOfVC01VVdWKDUjuVdV9ZOvWie1gzVbO1XSdVwwdfM7Xle2E79iJtYDzWM8VlPTZiY2Q8lnWbaTBWo9lrWvbD320vFuW7bz6XBcNxPvcly3M/V0XTdT+3Zdt3QBeF43lAd6Xre0DXxfN9QTfl+39BmAYDgUH4IrGDYPhCF2gvuGNHhWF4hC2JIThz44pDOMINizTY1jePILji7ZE1OQRBkzI5RlOVZIuWWtZlUS5jl635o1+Z5xlmc5Rmy1562Wd5Nn6z6HCOdaPnmg5BosJ6Vj2mNxp2Nagr+qQ3pCYB+/h3qcixgAecADnwAA/7CgZ/a0gh/D+f58AOgx5zWAaDkegZBn/uNzooYABnAAex7LuaBbQgu1n+eBh7hNYAoMfgToHuZxpKwxnnCc54nygXL7PtOz7YcZ48U4Zxnwgx8byf+tclvSJmeeJznxzJ/nP2R/8JtXP9qgfUN6cZ+bYgnYoHrXE9YiRnnyc5+DzzXMl+f3CE+X/Mndthj8yP/oH+d55n50e1h/724nzzJ/dSf5J8mi3kHOf3mdmfJ/AefAfB8GQHbAPwhD4P5zn+PwB4mA8A8EGPMcDnTbjjH8HwA48AHjAIE5kfAPG3gTfURV9j7nmj4GOOMDwPA4BEEOIIHwQg8D/ckPCEYMAOARHmMMD5wIFBwCGOMB4hHPwoA+1oGcFyKOVfaHgACJQBjzHGM8RwOR4jjGOI8DwPg5uHB+PMc4hwHAcD4PMZ7dXej4DiOMd4j4dj/bvFsH4/oovGIi3yIMQ2wjzi0M4GcRhzifE8H4M7/wDxGEeI8DgfotDPTeAAeMgQfi/jIP8Z4z3wu8I+YYYAB32vvHOMMeY8RnjGBPHQf4Hg/BPIE3cYYjxPx/DmN+QScXGRHkYJ8f44ZFDHkbD51rs4NOzdePET4xoijjHOOCTzbx/jxHwAMT8pY0CAAfDJ/8xhnAAhi6UT8sh8yOXfD92by3ND4cvLuXo5xAR3mEPgeAI5jgcmTMt3rbQJifmfDF700wfjwiHGoiEgnlSUH46AR4xgYx0A/HcMcip9jjnOH4OcrpmDhji8B7wj5ZT0lo8ebM+p+DGBxQCO4cZsjnoNKWhAjxvzMHHIYX483S0Qa1NYjrlHZj4osOMR4jqMy+B/Hd5jpIOzniyI+VJunJDni1GID75B/x9pXRMiMghwAAdlU2JYxxHA8DnL4T8noTjgcsMOc9GRj0KqA3iJlM3w0cibUmexD6mADqeAFt0wKqS+EBJ4Pjh2+zGlKAGA0MZ1jwb7A+M7cxwRjpYvObFg6ngPH8B8fAfgfAzl8MMZwfg/B/gAPChMpRjjzHg8CsNMB8DPI23UfAf60F8J29461P1qk6tUdCnyzyeWvOcMedS07XJfr5bgm9tDl2dtk1hpbUmMNWQ7cRilxjfXIYlcpEVzGIXOODdBhV0lH3CafdRhF1lI3Yandpg13FJ3gYJeJTN3ri3kYFeZTd6mAXsU+0m9Fyb3L+vgUu+6p753Nvqvy/Kqb5YBaFf1fV/yjYGVbgK4d+7o4EXxgg6mDl7YQVngy6uEl6YUVrha7eGF5YaVvh5eGIFd4Kuzhy8OIl3YkJ3ixYeKLy4qXZi5YuML14yXVjRY+OF0Y6WXgvE138bXvx4ubHxNMj3ByDenId9sirkySTDKNvMgYDybf7J64sp2tytku+jLCAgAABmLtUd2VsdmVNb25rZXlzIEltYWdlSU8gVElGRiB3cml0ZXIgMy41AAALAQAAAwAAAAEGowAAAQEAAwAAAAEImAAAAQIAAwAAAAEAAQAAAQMAAwAAAAEABQAAAQYAAwAAAAEAAQAAAREABAAAAAEAARLvARIAAwAAAAEAAQAAARUAAwAAAAEAAQAAARYAAwAAAAEImAAAARcABAAAAAEAAIWiATEAAgAAACYAAZiVAAHV0AAAAACAP+BQOCQWDQeEQmFQuGQ2HQ+IRGJROKQJwRWMRmNRuOR2PRCLx+RSOSSWTRiQyeVSuWS2NymXTGZTOZzCaTecTmOTadT2fT+EzygUOiTmhUWkUmV0elU2nR2mU+pVOI1GqVesQerVmuVit12wU+v2GyUix2W0T+z2m2Ti1224TG33G6Sq53W8SO73m+Tu+3+5YDBUvB4WS3vDYmg4rGS/G4+K4jIYzJZPE5XLYXMZnBZvOX/PZ++aHRXjSaW6afUXDVau2a3XWjYbGybPaWDbbeubndV7e5neb+p8HhWLi5DicelcnlWbm5Tn4rmdGgdPqT7rdeddntW7u53v4DueGZePyS7zeeWen1Xb26b33X2fGSfP6SL7fePfn9X7+rS/j/ozAMBMjAqywJA6JQTBSQQa3EHq7BkIoZCcKIVC0LoRDMNINDkOoJD8QItEapRFEcTxBFMOxXDUWwvF8KRjCMZwfGsGxvBUcwPHcCx7AUfv/IL+yG/UivvI76SS+LQgBJ0nyeH8So1JsoShKUppQjsrSvLMtI5Lkoy9A0wTCAEsTHBctzNNE0wdMsnj+f54TPN01TgAAPoGQE2zshsqgAAMQz7PyF0BPSBn5QlCsXOCCn9RdGK1NYHoMX9JT/NdI0xQ0t0FTk7o2AFK1Aqst03UsNy3VNTI4A6BmBVFWH+0NEGBJ05VnVSOTkfEn1JXUPI+QEngHYNJo7X0oWPYSO1vKFc2ZEiOH9LlZVK0NlShRFpVpZ0uW5aVAWMf9R27adRVwgR4WBcU11egR+Xhbsqzbed3TBT6BkPc9vTBdp/mPfsm2igRz4Gjt9IGe+EVcg2GXO0MsTrft0I5YmFYij1tTRS98YvJ9uWvTDQn5KF55HSTQzpYqBUheiO2Jlp/0VmEy0EflPnxlNGXqgRA3XnlCybch/nCi2hT9JtuHggVY5tUSCHxp2kzs0Oi5ogU+agjVwoHilmNDgt47BY7SV9otfarNzSTjdey2DbMxVpuFdNDZ886dutZ0Bcx/2Jtc0yrmlSSdwMx6WgVX5NvdWSageBWVw8vNDeeD5Zycs1rhZ/2fzMptnmXPxLs9EWrw2uIzatycZxtU5XJ239Rj6NWfORwbnsM1zrmXXWxLY/53cvc7MjtjH8D/W99UHNn+T+Wdn3VeIEb/ceJuKRG/3vl040lBdP6+7I7Ongyt0cUW+D/oej4sygfvH2exirD/n+n6r1+/8fyj8lvf/p7X/nqgCeeAZ5ICnhgOd+BJ3YFnagadeB51IInRgmc+CpzYLnKgyceDZxYOnCg+b+EJvYRm6hKbeE5tIUmxhWa6Fpq4XmohiaWGZojED8VyPBcggGvEEHgvd35FHhPDfKANXwAR+J6HglJ2LfCKj4T04wP7uIjKBiSnMH7jHzo2IqPBPQ+AHj+D+IAP483hRXiXGCMETiKDgUqOBLDOkpRoB/Esf0QHukVHEpUYDLl4RniUD8kLWHmEVGEq8YK8VSSAixIkf7QHHEVGOq+SEVx/yMiXJCRzryKiPWMuSKBApMA/EG06NhEwHtAlAliUa5IalNMQB+RMf5WRzkDK6U5EXkR9lpKJUcdF4DgbGyQiikCLrwiXL4A8wCLTDZURRRUwpkS1ZpIGYMzmezQD+PAP8vZLy2ixMGXJEHJTelaxaQpE2WAflAoiUcpXOzjIfOueEoZvzVixPCTcQSJNHH5KmRUopwSZZ/PIhw4x/j+ffH6gU+Ilx9H+IMcId5OETGHQkA8wiBSrodIIP8dx7g3oqRJgQ/wBxeH+L8QA/x+yji9P8e4J6RkRX5SZXwwAPjAAIAFZTJqTg/HwAMcAHx7x4mzKhn7p46qBp6oGOyuB7hHpmRBRDQBgPfVHU2nichgLkmw0p/b/Kwn7rGVCsp/qzoDrSlStdaq2pkreROV5nK5nArjG2u9cq8qhr2Q6uplq/mTsCcivqb7CqZsPYixKnbF2Msao2x6u7IrIsms2ypBbBmPsyY2zZ0LL2Ys/aC0JA7OnStHaS086LP2lMvalf1p7WGGtiZq11szB22PBam3B4ra29t1b62FwLR27NBcK0NxC+3INHca1dzLL3KLzdA+Fv7qXBurcO51lTEMFfJD0gQz2u2YCOJ8gq4Rx0lIPDghkYiFj8kuQtg5BB4kOEec4ic/4fJ5u8O+8BGWvDgvHeUgl5yCj7UTV8gd7FLKJH81MhV8SB3zISN8gQ776lFL2PGmrbwH3eEff0jDXhgjHvIQS816CBUIXjghlych8kEZevEfGDiE4QIFhIhCiBH4XKIXsc+Ksbj/w6QfD5ImBYlIRkAgeSiIYvwSm3GZEccEHx0UnHw875D/EPh7EBHcjkKyYP/MJDsnMuyhjQh2UyDZVvtSTLGEWA5cJFeDJBB8w5jIbmWhOZ8pEKzZhgiub8gjHpyD/F7TR/ABGepVPWiR/sHvAM8eI5x5j8DG50H4HAfg/HGB4ODwRjrVxI1OjQHgcJy0sMcTI/09CfjJpIDgf6LyQyxpUODnYxVCB+MMfg4B8TLD+D8Rg4AcEXamI8ecYhHgz0eI8H4nxxAfvmB8eYz2DjjH4HAPlGQPABEfDgRwH88E1Irkq+ehIeVDVjokZAB9fs0AAuXRI/gBjxECMAPgQIxgfAgB8T+nQgA/GAEfUQn1YtPA8CBKQ4ARjHEgHgAY/ABiAD9vUAgfwALVa1GMfm+gAB+D4AGOAAB+CADwAdSAH9hg4jJDgR/FA/iPBBo8RgDgBji3rUEefE1y8dB4AcYADtvVDEQA/cZ5SKzw0GB8AgDxhgPAMnoR4wBhjwouPgGAfgMB8BgPgEI8AICIB4AQH/TQBgPE+McD3URDKvGfiQQwH+oj/7WnoYYA+HBwGCPgMI4+vDxAIHzrYGE5AMB8AgPnhvDB4BgPkfnW/DA/5SIzGYCA/w4E8AgH3MeZjnEAIQII4AQjxHgMEeAIQIda8SD8D/bcdjBlSIfo5gSJ0KyyI8D4H+0e4UqI8YY4Rx3zHwPwPg/A8j4Hh8kPAPAee5A+I8B4hxH9q90J/t2JPde67p9oZ4gxjiHHmPAfI8Rx/JHh8QPgPA+eSD98wHgPgPfwDwPgPI/B+fvA95IHwHxOYzB4iyD+A4B4A85iUqHOEGGCHC18/I+SHwDwD4/S/29y+kEeEPAsouLUmKXaHioUA+B+9wGMA+X4+m/IamHiH4DwH8BiH4DCHwDgH4B8/+/y9wGO7eA8+fBEH+7eE/BE387pA+H+98++78HiHwHGHDBdBQD8A4jEhwAwH801AIB8/qHyHwH8B4D+/yH+B8AeA4xmUgUgA4D8AdAK0eEOHCHiHCH5BLCLAhCW9Y9yGOx2A+GGEe9m9oIkH8w2Tmv1CCA+UgYFBI2wXiDwH+vnDVBfBi5jD8GPDlBmA+YFB3EgURBnCCvPDsH4DmzFDUDjBQH+1iZoeDE+D+E88lELCrFHC0B8CfC9Cs8kB/CxDI9xDNDQ2wDi2xCK5BE+2eT1Dk9wHHDsOqIrAwbeD+T0w7EBCC0kGOvckvEKvmHGH9Be/bEWw6GOHOEfEfEiGPFKGOU/ErDtDlGZE0HHGjE7EKA4cXFE1iE8AGH8DwAeHyxe1jC0A4CeB5C+SlBiH+Ec5iT0HO9k/IH4DjGYDjCtHQD/B4y1DnGBDuPQIqymwkpyAciyAAVew+HiVuoSAADizEH+GGH9E7Go6nGtGxAIEcB/G2E9IsjJB+vq3FDkVu0uHHJBE6DgAA26vevm1iE+4yD4AGHyTpHoSkE4GPHxFc7oBxH45iSlGw+DFsVuDnIOABJ4A+HAAOEfJRIbGEIoz1IkABJQZNIu0lI0HwAJI6oQ1DJFCwEeABBoHGA/JPJTB1G5IsqHJc1YvO4MAADOzFLU2yTyjJBNFG4M82ABKDKpCzKIHNKOZeA8DzKW2c2bKfIHKjKnKqEACPKy05GDAyiEyy1YAfLCVzIwv6HwB5LQzFJCH5JHKxEgHnLiD/JRJUTk9tEq3+xIYEoRHLNXI6m/MHJ4H5AIHgDyvmhxC0EwHMD5HyH+E5ELH7MlKdDTIGYEjMH9MghxB4APDk3DK3M8IkEezQwlEeG8SxIwpK/PEKDiH9FtNY/+3DBoHiB/AI2dJUSwX5HBL0oQHmH7HLIHE8z2hxIQvJAI+ManOOSkEQHFOXKQ8oH/FlKbDtOnFuH/OtELOzBvF83FM6OwIoGOaazg7pH8GNLnIwHPBNBRBVBZP+/aB+E9H8GPPlPpBzB2B/RIYFPyxJPaDHE5E8AwH/ABR+1iE5FJPW+PFSSkGTQXOYEYhxDIAfQi+DDVIFOsD5MI/zQ1O9Q6InRjNA1i9w7jEi0k78zFRTBXE7BPRbS/EgZ3Po+jLpB40JRxCBCE3+HxBODnBPBODxGpSCH/CxFKE9BS+PCvGMSkGCHAH5OYGBQRShMnDTTu79SrADITSwGfBpQ4J6L2GGGGxxPGB+Ae+gAeUqGe0lDTEMHxAg/m+RTTAGB9VBTZCy5i7bTg+gEeVfEqGO+8E+9I+QjMHhBO/S+Y8k+Y/TFIA8A8DxWU+JCxA8H+9NUVKQGDCuA8AdUdOkHAHjW0HDOs/bCxB5BFUvArDtIcPWjaAPU8IEA+VGGAAeEAUqGC0kHwUEV8D8AAD45IADVaTOVHEhOO5iGA+u4MfeUrEqHA7wE/XmZyHg5DTS4+TqAAB9XvITJxXwDxYkD5GMVeHC/OHwBwZeaOAA4xWvQlYPCKADOs4xW+APIsGC6m+fHLO+Iii9XS1YEAGOjgafXjBOcWAMB+AC3ojvVaCAb/TlX+EewBTgjhLvEqHg4aE+XkjuHgD9XQhwUE3ib+H+iRIS4oD8p4A/a2A+Ve+DUVCeSkaOaBLdSiHij3Z5ZSEBOy4mHHZcmFXJZkJ8vUIJGacgKU9nXKlgKJbyIGxoH8YDb6IXb+OXcCbGzRCAKSxszsQRcWIKz0+eKUxRciNrcmIIkga0u9bwYAINcSytc2IG6Uc7c+J69szBckKcxQm4KSxiuiuysmukPldosjdsNTdwsfd0Ljd8NZd4sbeALbeINfeEsXeMQBeQsTeUNleYsPeddauteouwuuuPegsKNgZNEgIddDdCIEprUQAABwU+ymzQ40xhfAxgVyxIvWiBcwILe5NAKde3ItfiIRe+IRfEdwBwbzfOxhItfUIWwVfcIIYgxgXuWqmdcKZNA2RMJIp9fwIPf0IPf5fIXMxxFQwSAAaxdWITgKzrcNfkXC6wSwxtQPgFRDfrgi1lgmINgqINgvf8iBg2ZcUDgGIVgKINfjcFEMeQYMalFDdOOHhaHDheILhiILf4m/iJhsoSoWIhh2ILh6YKoQVJhRFDGIKpe2D+HjiQIJiUIJiYZ2n2H/ieoUo0IfimIJh6IKYOpriyhwaON8JGhxi+XZCaSwAPWAIHIpCDI8AeEGEOAeWMECHwDGEOkTUQm+aPi+Ve2IaOoQoUm4YEHOoUHwHCHCouv6ECvdWSm3G4BmZeB+3i2gBi1YqG2S0uYFDkHmEAHM2oH4DAeTi9kBXQH+AwHiovGZjA3Jjti9Zw3dj4UqqCHgGAVyAQAfXmXKD+AeAOEIAMiQAAHwCCEOlLkYZ3kcGIWM2IpXZFkxXsWqD8feBCHDmmIE5I7o4C4GE8BAXY1+5IAOHEARlSA+4oCDcNGBleHIAO0rlohw+GiQ5yAQHjaA5JiJU0I6Y8xWHmGOGC3rAQX4HgACToYnj44yTPWsZkV8DwACEOkQ2MkFEM6pjOHwAw608lmWB5YfC4EA5E5JZE8fSsA8AE9aAPncHCEO6tQ+CHnpSAH4H881nyvBn2HO4Y0rQueCHwDA7/mOHgBgH4BgD5oSO2WoXahwvOGOGGx/q2aMGAHgAwUQACpODAD4AQA/o2WIHwHBo9pBWedwDxpHl2aPCqD4B8D9D/pWAw+YA9kE5EBhWUiy/S7pVC+sE8Afq3HKGPk1CQUhqC/gT1qK2RqOHzqTFCHxCq/mHiHmHAHhVS/ui2rMI23ewO+9HCw0aPAVYYUQAPATY9C4AYA+EGGA18HgDw9bXhrjrnU7pNULr1Y8/SD9C4lS18DwhxqDppA/BFsRsZU7EaHhDUD8izSc6kzFso2xsvoDBPTQ/LT3CvtErQIyh1b1fvL9CCwk+TrycVk0H4BxVAAQB/kUabAcA+EIT1fHrkIvl2xfCrUKEfkwBw61r0AfteDgjm8vB+GfJSE8A/GWYCGPCNNY8u3ASkvrqM2wDnE9u2H8BzENCJE9FAKGM9vIUSTyYEGHECwls9vWH+APvbvfZYD/vmTnrka3vzrmGPv7CtKVwBmXwEA5aBVHte4gZomXB+GPwY+fi/wgH5GjYy/tNlwtuuHmx/Ezw2eC2SBwAfDZIHFGx6J2awvVQ+AGvrhwWqHhiAyFk3qkm6TOEO6qXLxtvxpFv3x1t9f8jDmWBhJw4+AcllCRXwoSiRRFRvwbpfla2/GjCxUVKXcNGxyqHPyvqVrYAAB43rwjBPJvxFK4I1xKxWYCGABHzMUE7BzSUQAfzYBhzdvk6qH4ARxtt0m/ztx2H9zzkxz5XWB9z/tfXsTkEBpoD/0MB/pevBDlydCuZoanH70fsp0lw10odxZ/i/TvMB05bui7zETlsVJeIsDhantaHCGDqkB/ZZBE6qHgBx1jrhkbENzvv9KVihAcXXr9wLCQimSlNPyRwY2fcN2OoRKV0b2Zktux0nswxVWB0zy9h9S2I1tL1BR0GOHuwvY53BvZCRxi6jzhAaDwD+EHpD3bi/1rCx3l46ZpWt3sHweC0bKGy3G5CAGOH3EbCMH+AyZo3B23B1uwHx2hFDj6kuDjRPT3FDzAI2Xlb123NwHiEevn3QD5tbteBxuI+i6rCR47At3ZjL3d5HITkpYuH/DG+iEDCQD8iSanKHBpFLTHi/wioR5tyj2Zk5Dsx+HwjNqVW0H8BnIHxBIR6KI2XDzHJhp0oQ9MHg+ao2EHs8DwA5VH6oHhuNxmEGGHmzg763t9WadPOEAwB/WsEGADCQ21lrDFEeEPG6/I0nx0oQaByjAIaMed7nCJVTFDDQ+NIHY5u/5JxHhaYC99JpU4bpotnSpPXuTy+j42Tp6uGD8m2N8r5Ft8B9Vf8z0tJxXd8/AcTO/uA4A5WQ+fpw05U6HCx++AoiZoH8/gTl1OEGEGHPk0Hg203giNAcDw9IGBWDWMx54aI/zGEApOqFkgIAAHgAB+/3+AAO+AA/oID0Oh2G8IUeD+h2Cw2C4H/CgO/3ix3zGxw/h/BIYAYYfgAHgewCC4XwfJMAB9KyAP2AB08P3gA3wA3BPXG/2G/35Bz8f43BGBQHBPgAfA+/IRVKo8YU8X5Kj4f0fBrBYbFY7JZbNZo1Z7VZ35SmOwDi+Ae8A+/3gEDggLACA+/gG/70D2HEHg/AQOIq4IxGoVdY/IXxIx/eoZHQDgD8D3AwZhKoMAD+AQ8YD+4CPO7k/M1cqHRaOgX9SoY/3AE3A5Ae+AJUqoD78/gDWgRWtDba/a+RyeRaeVzbW8Od0eUwelY2PyHPyXx1e50uZ3er0PB43+f+p4+va+za2/2/J77L3/hyfF8+lgvIz+x2JD9v8+T/LO6CBr/ALkEBArwOOtT1rUcZ4wM+cAQiscBgBBMKLLBDxnwur1OQnsMvJCcRINC0MRKsKcvGfkPQY5CfxS7sSRlGqynwgrwLa+B/AfGzvR/IMhSHFMaSJI8kSS5clSZJsnLHI0nylKcSyjKkryw+ErSzLkuudLcvTDMSyTBMczTFMszzVLM0zXN0pTbN85SVOM5ztIc6zvPUazzPc/QzPs/0E/9B0LI9A0NRLuURRVGubRlHUitVIUlSsoUtTEtUzTbwUpTlJU9T9HVDUVFVJUtDVPVFB1VVc/1bV091hWM71nGx9rW/UnnnM1WqoD70rXHyxWGsZDrIzQ/qGsFeLCjq12Wfg8PIDyCxcsRAKUskdzhAyqAPYK1WKsFxrDY6xpbZVmWasFnwcg1pLHbTm2qf8XV0f6GRyg12W5J9fD+AdwrPcp/4Kg1z2JbNln+cd2Xzfaz2jaawti6N6xdBZ+AZa+GX9J2AGHgazYLg5/4SsKHLFh2K4is1o3mg2LOckl7LBjWDLDj2YybgBw5GsuSrLlFyaJliwY/l94Z5mbm5rjKwJDlGdyngCPtjrFtF+f92AepRPn+7Nhl+/Rvn+feEmee+w5UgyC4cd5/v0tteVwH+wW1bRx7MTilG/Xh8tjXh+rBiwf6xfJ/8Ifwe3tXB/kfi0IGOf23KGX5z6TJmrGOeDcg+ul8gOeBgLBjkYgBgxBkMB6/gCfAwosogBuoQIGdScZmI6QA5r+v/PEAPwYGYBwDn4jrVGOeJx+MBg8HmB69GAPHoj+GAPwguS5LoukOroDwYD+D5gD+v3Q2aundEAcXo81OlvD+j5wdGA5wR8n54WygwELmlDQAPAOIQAwASqD4CCIcQY/xhABdSAB27DRkF/EAHIlBl3PE0BAMgAgA0QjwXAPEcRPgCB4HkA80AgAcQmB+CAR6EH5weftDEloDwPAgB+B8QDhygI+WW/aCL6wHFRZ45s+DES2s/GOAMcI4xgrHHgAEgaOSEEDKoD8Bz0QAAAImAEQ5HRgRZJVA8cYwCijjHgOAfgMCjB/AYD4AgwxABhHGOFho43lDgDCPgMAeB4BOAYD8A4Ho2AfAII9XgxxBjgjmMcYa4BjiPEOB4AwHwPscchE1hpBpGjAiWOALgeAeRDfeeQfC7o1siGeyIj5QxwlBAwh4AJQI9l8AYA8QYgBgD4HgHgBYhovDgDgD6WqxxxjDKHGYmJbStg/JYRh5aEGHPKJgViPhJFqiOD8D8R4DxHlDGPMWVYz47DnEeMcDwHxHgfm05CcUmW5TgjmVuULVT3oxaQhcY84hjjzhaP8cI8B4FSIMAczhkQfAPL4IMYA4B8D4DwB8QiPhgS7B5QeYkxmGlaDwSSZYjlgIPPWdeaQ+JqDxNiI4H4npsiHo+P+fYwx8z7haV9sE5xnrVOuI+fp6YWvKHGOMo881unkRDPdcDDacoQNoPAPyHgDjhHCPwHAP4VEWQGHgyZdRgkSB5VSYk+6MrSo4V2j03x4lpjpNIfgcVpHEpQP6bIx1gHrHnSJyA8SirHnPOYP9OadkGE+R95ay6hL/PfUVeAAFgFEOuIAy5DB4D+Q8A+qFUpAGgqsQerEOR/1bHxV1lUdleIPH4HAgg/CujOo/Wcgo4Af1qrYHgrQAAHOHD5a8D45z0x2pcYAAL5C9V7A8QhyE/Vl2Op8UMf1hWQHvKeWFHbnQBlfABBYgVkiDWUGHGkP4ByCGEKpZurREjEWhGfaMedpbT2pB/OIeMHi7QfqAGNaV6YHPlK6McH9vCe05IOAF+wwAP04A5cSdM0DPgBuSQe5jPbDoYuiMAEZX0PF3qZU4cN23w3eB+YQfACLNo+IiZGrzDbzsNvSHNeAfB/jOvbaQv4/GBPLH5fR552y2j+vzfs/QwAJn6woRt0cNLXgcW1geTI7y63JOBg2IlRMIFum6sdYc/8L0DqgZG7tijCESxCUS8mJRx4nYdWvFYf8XXus7Jqn1a76j4D+Py21fQfz8ZOPPIDOWTj/kDkVHM28EDjR9cnOGTpRoclNdET8dh4nHytU3LBMAcA+APJPLtDg/iDI7iO0ExMyXpDyvApNKM1VKZ/jS2N6Xyg/mxnQeLYJDDnHyM/RsmqXU4XrcVCEdBhlf0IP/I09DyPHugW4D+jBDoQIiPAHlTiMjw0mAcB5DiIkwIoQ/MFnyWaevRWIH8yyd3uJA3KwQ4x8FxeeW2lE2JtA/1eP/RaD3lQt0WsBaskbX3FV4dCR+5RxuB2DUM8i17omCmMIOOg4aJgcQ8AORMewMbT2pQAOG1xBjD05FfbjXL0h4myVvAeL3lkhHPXjLOXr0xWA/NidAP0OsGGGOGvA8RD5jHHOWc4j+cuQ5qRsr3NdCD84DYZAN0RDxKIwUUcBAiCGfg4VGxRDsugA2uRfEZNbzb7DnagxBbY28iqhP6qBGaGR7HmP4BwHwHEs7Ty4gsCB4Rz6SyIQ/Oorgf2kP8QcmB+bNIvHeoAeAOFd4Efa6KCCevzNp0xHICCEkLIaQ/EfVCK9WIkD8APWS7dbJVnEP4gAfcig6UABI4oCdUV4QQQBLIc7fIKU1/D9fZDAhoCCSggC6iBfsvkgj84730AB4OUSSGAUuLg9suo8AMF5LB2kvxgOYXgAYYgQ5isR4d80PzrZoY1jAJJe7l73gcvMH9CNXhehwFedL642gMTVPedAD/9L4HxPkn8PBHIgS7LAKwGMvz4TwpGw+pM59xUxIcAZM0ApRJWxARNw9xS0BgsxE5MwWBTMCIssCZMY88CEA4uxC5M0DZSsC5WhNcEcEhM8E0E5McFMFRMMFkFpLsF8GBNkGZV0GUGpKkG8HEAMHcC0HpUUHUH7J8IUH0IkIsI0DkJEJMJRUEJkEUJ0JsKBUcKUKcKkA0K0BcLELMLRQsIMLhEUL0L5CkMMMRA0MkMpQkNBWUNUNboqxRoBZBdBobWxlIgxfAswgpsAso65hgoypUIBbwhEOEORYkOYokQpuQtcPIs0Pi6EP4sD4cLY/wqhgQ5JoQshc4osOsRItURcPadxeER6NZTBkMQcRETZY0Ohcg5UTwskRppAscBRVJ+Bn8S0QkVMQ8VERTeERkUAo0WMSMWbop+MU0XS7MQ0TUVY5MVo60Xwo4sUWULp+Aj5zw2LOSgYeEP62pyCTKWwQ51of4QIfAMZ2RkQfAOD/CWxuQDggqUoc5Z4y4YYH4cITwEYkhDpHBzwY4B4cZmof4BiEC/ZrguikwEZ7EKsScYh+aUpzwjaDj+wf5/gfAy5/6AKAaAqA6BKBYfAIAMAD6ABuQCD5IAYcjGJ1IAIyYTwEBzxzwcAD5+YYgA6Mx5AAiECEwwAOCHAPyFkUUaQ95rZpAP6uoYIAYeLvaJyKDpog50byCKyLCLTqiLiL0qAAAB6K5uQAZHwcL3QMIjYGAPwDAH4BiGocIiwiwB8ogYAIaOaBIfAYCEABwDCNiUIAgHyFkPsYQ8ZHrYqOyRgc6OworhT5SWCDgMAPgviK4QAQCLQcAPEqQf4YCPYBgAUqxHwZ5lQY6qA6AfC1APgHwHyvZkRkQY6RgYJ5Yc6OgecbKqMzwPwHgPwDznMvEnzRDYoQaR7ZDhIoKgTPigrSYB5jihShiXYD51izraAHjaaSwZ6xanw7YfAfzjyrqvZn6cgc6cQYZ5Z5RhqkiqIPzIz4TtM0khA8CxAo0QSpCu5EzK7PiyqqahDDqrYjah4QirQyIqU+BuSxYjzcxmRaaUInZ5Q7JXSYofKOw7aoDGgP7Iy1AP6lE8ZRpSk8xX465kU9SpbSE9qqKqa7zyqq4yYgoYM+8j40E/Q9KJY9xeNACbSs4P7+0czm9BAfh5Y7dBisgH4c5ok2hTrKKlwnq6ix666ybDK7jDgwizSrIolEaFVEwjYAM/qzQf9Fax0l0ly/ofAccxZsNGbcwAADAoxaalDm88g7tCYtzCVIAuwCCyNIbDTLbDoiIwzL4YdJaxVJocACM/ofgATUIHgf4naxyUouTCQY9LFLRzNGlL1MAf9MRBcSU8tHqRlMZDyYE9ip4YKNKy4D7LoHDL9EQHE/FO05g67mU/ofAH0/4P4ncPSBIiFA9MZhtLgyFRalAeZa8vI8CUrYqlzRYY4e7RygFDKp7SSQDSzZbTDTSztJYA0yyxbWk/qk1VInbRwolXtLC3dLjHAP4XlG4eNW9HY7rYkoNXjRifrZc3igjSSg7aYwjawipY6idUEj7adJtZ47akwxCrrcLRrV4cdayOwkKqLGjYFBdbpl1cA7rgjYyO0sooarbZjhqRKXYDjiQwihjiwYYYDis/EkFUau9aCqU1yZi16wScTY87LRifykioFBdgoP5apHFMg+C6IR6YzjDpTxjpwgYmUj7ySgDygi1jLqljiBNj0zM/ofKz6is2K/aYzq1mozin4oagB5a5cz8180Dlwr1CJ+ClzxAoAjrpaKIz7x5fTqTybqtoQmNedoqxYYFJ854mggglYniDlsApopqMwv4rIodubZoADj9rcK8hL4wuIub5IvAvR/YvqCT6NOIw4xIYYYQn1jg6ljwcAHFPQAwH4QInA1A3LIYcAGIYkfguRfMmooYvQQA1Q2Db9wVR8ARO8Z9rhIUBBN12dwZH92xNd3F2BGsDJNY/t2hIN4BNT/VmRGV4pM6BN5ENkEt5xWt6BO0M96RTt6pOV6l646t7N7Q6N7l7pR98BNV798RJd8sFd899F9MF19d9l9sGN99+F+MGl+ZLF8l+osF+9/A2l/cHN/rYV/65uAOAWAcIeApJN/V/GBN+uBd+eBt+OB99+CN9uCd9eCt9OC98+DN8uDd8WDt8GD97uEN7WEd6+Et6uE96WFN6GFd52FsNmF8NWGMNGGcMuGsMWG8L+HMLmHcLWHsLGH8K2IMKmIcKWIsKGI8J2JMJmJcJWJsJGJ8I2KMImKcIWKsH+K8HuLMHeLcHGLsGuL8GeMMGGMcFuMsFWM8E+NMEmNZWmNpWON8G2A+A2OZImOJVeO5VGPJUuPcQGOr4mP+QGQOO2QeQmQpIWPpT+RJTmRZTeRsI+Q5G2R8UmSJIOScJeSpGWS8J+TJPmTuT2T5IuUOUWUcMGUuU2U8MeVOVWVcM2VuV2V8NOWJCWWY+2TcKOWq52XJTWXZEeXuX2X962YJGeYeYmYt7eY+ZGZN7y50qothfMYJtwsdRwsy7Bitb8Y5EwsRiObBsMO4sa5eaI5Kjhnlg4sE2eW2ZpkxfIo5psPGaY5GaxwubpYsBBfYb+bs64sJuJirBsoBml1wsM8xlZQGdQs0zmaEXYsWagsueRmWegsA8RwwsCSgsufRm4sWcJlo6WcgsIzebec+go98U2hEZeeAtehxfOiGbTnwsWiosmi4g2akfxwuc2lGgIsBzukAg2dGWmkYs+ko5Fg+hgsmlOlMZQuwgzOGl2fMO+mZl2mhp2nGmWpYsBfenuXg8mkl3os+oeeNW+o+bOpOlosOl4semMbmjetWgBj4B8a+q2kOVmrQf4/oCIkAeaBIcADiyJgKgY4AfIQ5wMrrdwsEuQR8lw2OpZHqJZmTYLJaySQIDwjqDky6BK0rvT3YHgOAowA7hmt4gtHAZ7HIPwv4H4YgpQYwHgPKwOuiUoo4TIR854voP5zwZwB8d8bgQzb4OAto/W2a7YwoA4GKUurGXWn4YAgoCAI4fIeQy+vR4IPgy7GQqgfLAAPwIAP4yZbUkQR72klr5Kp944f0kQnohgfwlgCABgnyKAQckAcACAfjABHwHm7B44CAuZ+4hIA869KwBwnwB4YgvoAW1QA6HIcADB+oH4SAI47clj2QZAA8krGQfwATb4ICbI/SKQfgQAPgA8lYAe4uYGuYAguoAG5YeErszgBFVCNQfAEIfAEAPABAZiYQH8sRHMrIR4QSp6BBHwp7pZmUqocD0874D6LKKCKAAcq6L4hWzKP5ezzKTAeAYYcAQc64YayjuocAQ/AKNPAiSYYy2oQQD/BZCCJocLvYAaMiPB2FTIfkupu4f4gofgDAPiP6FYcAQPEI8ZPJwgsQ68j5gwkC94jYfkz4PDOChqhqUEz6G8z6yaR6coZ6R5Y4Yb3R8JfIAR+qXICAHzhiBgAMwXJSiQQCM4ilKQHwurvAQ6VJriJYcM66SE0lmrjAoyz4iiqgT6lFdk7KlwYcv6b7mKf4rAfhHBFpapsHOYPiiqdUfmxmuQ5weBnhyjDvQQfIrHQoP4HwPIo4rSjTORaoR60C7KchYCbo/AxdmJHri6YAPgD0sIA4QIzgoKQYogoKXYpSUPVXcyOjeQeE64wTmqnTDPQoHjjybQD4YyG4h5B6ly3TRqcCaZaTOTOSdIvsds758Sqin2kV7xl3anQHQYo8znbRig/vidkfcVwUfjXzChZaVsa5HrjAeAOE2ACAP6WyOigAP4BAgoQczfU/fRe3cxCA7NQs67Y4r6nQj4ja5aja3Aknfgofo2nk5ykwPKjnhBw8dtgidQx3PeYQ6LAXP42PkIfK9PQof9VB+5+4PAtpaoZ6UI44B7OzupexZYjPmIwXn/mqIJ1SOnelEvn4u3oJ8XoYY+1lAYfHpFMfpY686Hg3svi6/aFoob9I9KVTc0fvrD1wR4nZmtGvjQuvZ5CJPPsYsIY4tvs3tGhAHwPjGIAYhnt1l4P4Z4HGZxeyfh+YvsD++KqIgqyQwaPTtB/7hCyAP7poQ46DylKXwySgY66q3u2Ic4ZxC5HzA466k21QqlzYfz0Nfx5b/Yr4nrWgc4fDpYOOcgR6lHOUDzIydTl1J/jo5z3HP/1Re2u/kYo4H35Agx14gAEPD8P4eP7PHAAB7/f4feaPQBHD7+AADf7gELhfg/f7+D7DA74MD+BwAP4PQ7heAQeB/AAff4HeD4BB4P7/Hh/mAfD7HAABf7Hf6PfDnZ0VmCPD7xoTxfw8PL8AAGH7+Hx/cafeFCfAHR7/YAjZ7xc74cAAOL+H8ER6Om9VeAADk6H4/cARccMvV7vl9v1/cF/wV6YEwvbHjdCnr5eb8f74x1Xlr/mZ8gcFg48vcOR6DY8TjlgcLgjcdB7DQciP0lH8o0ZwlsvmLweA4m04nUNnuGoVEo0cpNLrlPqJ/j1WH9ZfFCf6DQ7/YLjsdlvL4tUbR7Mt7+GL/ggfurheN5wfl80X89+wt8Y9qxTHxmOyD/q8Ex5zfmXDw/R85vQHnGR4fmOR53sMYbRtKfzTkGeA4NWBjWpSlR4H+AyFkO2h8NunKdp6r5/nGfZjqKZ6knuR5HqYx7iLUhpvB8H5hk+fAnoYcJjnuT7pLIfB4xYtb+GIhi1hw7y6B+sbyPTJi9sDJq9HA0K9PbAaGnOeLGseyK0j+xr8P0/icxAB5zwFAhxg+vJjtGfCOQWQZhwcPgPA8D7XHG2h/gehZBnAeMNo5DrdQJH5xuXEs1EfAMVOGqD3A+Ywfo/GkbLGY54x26cfH8PDryEhgPn5Iy5vBJLxyhVMn1SybDrUr4PyxLR+MjTw/nyfgxvygj9kfGMyHOR0B0WnrmtG25/AOA5gnA2s6zulJgz0B4DkOQJgHBQLcQ9NEQuWshnwBRcUnGrh+Ue/gPkPSZjk+fiFyxNk1U2eNdyCD8nke/KnyRFUl1S9NV4A9iGoWD5wmDWdaptDdAP1OwfzsmCvKUQ5jkOR7nmAAKzpuigDrOfAAB9O7XLPCoHucYAALiPAD23QhjmGf54nCcZwnOZ5D4sYZH5koT8qhgpHge/gD3cmBxmHpRHmHTZ8Hg/K1zscKGTkPg+Q6us2HHf+BsHgWvoYoRAOAcAA1mDj6D4kypZE/QALqQCeH+hSIZAA5gIXjazoYfwQAeeAAqkP2SpTk89udk4AD5l9BgOnpwZefABngA+cmBvE/AOoSKaFue9byD5Po8ynKgGYAB02qSKLWIAfx+i4AIoPidAOuwA67sTzbDsShGBUJ4ATtL6D8oB/cGAwcV4IB/h+YDcgg/hgDGeF8I4cAQHCoCOhgteXgCjxDtclY4T2YMMggmgecc3JBp76zvAefFYmecAP+taVin+AWheglJkAf3SEwK6PgB44AYqbH8RYARawwM0IY5Qf7g3bA/HgBh3Tu2wQag4XofxNy9DfIaeVqsHYTHpRcqkecJ2vu9hYlCD5e4RGGMFCWF8Ny+QpShCuHCTYXQ9PNDEvQn4RmDhtECG8QodxIYDExJsSoRw0L+1Us7L4nQdPsqkc8Vzyw/i5DmEBm4SOyitF9sUXjBrJjMYCNcaYwl6ikX6KgAIyxtVUwBBcdi+Roj1H2P0f4fSAkFIOQkG5CyHkRICPkiZGSNhfIuR0kZJMDkhJOS0l5DSYk1Jt3knJPSfj3KCUUnpKyjlNIOUsp5VR9lTKuV0ZpWyvllEyWMs5bQ3lrLeXUHZcy7l9C2X8wYnS9mFMWTsxpkQnmJMmZiUZmzPmBNCaUgZpzVmPNabBfplzZl9NubkupvTfltOGcUspyTlldOedEqp1TrlNO2d0op4Txk/POeknJ7T3k1PmfUl5+T9knP+gEkaBUDkbQWg0iaEUJkPQuhkhKHUPkFRGiUf6KUVlZRiYNF6NRto5R2WFIJd0fpFFeklJZaUonHSqWdJ6WQ4pdS+R9Mp000lXTGm0vKcynpxTt3dPafTRqDPWocoKgVFShUepCTKlVLPPU2p0Xaoz7qnJiqFVZtVYktVerSTquySq5V89FYqD1krLWahVaK01qobWyttbqIVwrjXKiddK612otXivNeqM18j1WGr9gKu2Cq1YSrFhqq2IqnYqqNjKnWOqXZCpFkqi2UqHZaoNmKfWap3ZynNnqbWgppaKmVpKX2mpZailVqqUWspLa6kVsKQWyo7bSjVtqMW4orbqiVvKH2+oZcChNwqDXEoHcagFyJ+3Kn1cye9zp6XQnjdKd11J13WnRdict2pxXcm/d6bl4Js3imxeSa15pq3omneqaV7JoXumffCZt8pmX0mTfaZF+JjX6mLfyYV/qN1+r/gKO2AJf4Gm7gSj2Co14IpHgykOEIuYOnBhLCeFqTYYmHhqlOHIgYUlviCleHoe4ipbiTEuKKYYqlxiymeLplYwxjjKnWNIOYmnNjbG+OoNY4lfj6muPIz5CyHkSSmRsj5IjvkqpOTMm5OqZlDKOUqn5UyrlaqWWJM5aqzlyNmXsu5glDmLMeZJnZmzPmiseasgU3zUQzNs7M35rzRnGnmc87TvzxnvN+eZR5+nlnzNmgs66EzNoCo2hsyaIqJn3RWYtGSk0fmDSM+NJ5e0rJvTNVNHad0Hp7QuoND6Xy5puq2pMtamn9qjLGqqt6sytq6gOsMqayrBrTKWtqCa4yhrqR2vqz6f2FqHYeo9RaL15k7YEjNl1r2LsjY+kNk5M2bIjatb9n7S2jpTaeStryF2/XPbO3Nt6Y27kjcMqNz5G3TXfce5ty6l3XkTdsit55C3rXvd+8t46p3vjzfMfuA1933v7furd/464HgPg+seE424XgXh+NOI4L4brXieMuK4N4zjDjeEeC8I4vrnjuLuPxf5PhfkeveS4s5ThnleyuW4q5fhvmO1OZ4o5rh3kPDub7e5ziTncSOh4f6Dh7ouKef7o6PhzpOK+l7s6bhrp+Leo706nhjquL+e8Y6vvjrOFutws7HjPrvJOv8A7DhLssJu2417PyztPCu14Q7fjvufEO64M7vj3veCu+0/7/gTwORe48y7zxTweAvC1C2J4/Y3h+ceJ414uv3jck+S6B5Tj3lq+eYYB6DJfmumec5N56vXosn+k6l6bl3qK8eqmp6zrHruaewrt7LKftOwe2517iunuom++6F8CuXwsr+87V8TpHxq4fImv5DaHyu6fM6d86t30Ms/U719bqn2K2fay35H6W2vueK+91r8FavxGC/bl/8/lf09i/XWj9+Yfy7k/j53+fbP6qzP7i+wAsyv8t4P9vTv+u7P/qyQBqvQEu+QFqxQGs0wCt+QDvXwHvAQIrAwNrBwOrCwPrDwQrEwRrFwSrGwTrHwUrIwVrJwWrKwXrLwYrMwZrNwarOwbrPwcrQwdrRwerSwfrTwgrUwhrVwirWwjrXwkrYwlrZwmrawnrbworcwprdwqrewrrfwsrgwtrhwuriwvrjwwrkwxrlwyrmwzrnw0row1rpw2rqw3rrw4rsw5rtw6ruw7rvw8rww9rxw+ryw/rzxAr0xBr1xCr2xDr3xEr4xFr5xGr6xHr7xIr8xJr9xKr+xLr/xMsAwMvCRNsDxPsExOvGRQsHxRvLxSsKxTvPxUsQxWsRwLvbxVvUxXsTxZvYxascxbvcxcsfxesgxYvfxdvgxfs3Rhvjxis5Rjvnxks7xlvsxms9Rnvwxos/xqtAxpv2RrtExsv7RttGxgvixuwARvtJRxwGRytLRzwJR0tNR2tORwvmx1wOR5wPR6wQR7wRR8wSR9wTR+wUR/wVSAwWSBwXSCwYSDwZSEwaSFwbSGwcSHwdSIweSJwfSKwgSLwhSMwiSNwjSOwkSPwlSQwmSRwnSSwoSTwpSUwqSVwrSWwsSXwtSYwuSZwvSawwSbwxScwySdwzSew0Sfw1Sgw2Shw3Siw4Sjw5Skw6Slw7Smw8Snw9Sow+Spw/SqxASrxBSsxCStxDSuxESvxFSwxGSxxHSyxISzxJS0xKS1xLS2xMS3xNS4xOR4vry5xQS7xRS6vvy8xTS9v1S+xVS/v6TAxXTCxYQKuDTBv/TDxbTFwFTGxdTHwITIxfTKxgTEuRTJwNTLxjTNxPTOxlTPxSTQxnTRxUTSxpTTxWTUxrTWxsTVxaTXxuTYxcTZxwTMufTaxeTbxzTdxiTex1TfxkTgx3Tix4TcuvThxmTjtTzmtVzntXzotZzptbzqtdzrtfx3znTlxoTstgzku0TuxqTvtmTtzoTxxtTytnTwu5T0xvT1trTzzpT3xyT4tsT2vET6x0T7twT5zqT9x2T+txT8vJ0Ax6UDx7UEx8UFx9UGx+UHx/UIyAUJyBUKyCULyDUMyEUNyFUOyGUPyHUQyIURyJUSyKUTyLUUyMUVyNUWyOUXyPUYyQUZyRUaySUbyTUcyUUdyVUeyWUfyXUgyYUhyZUiyaUjybUkycUlydUmyeUnyfUoygUpyhUqyiUryjUsykUtylUuymUvynUwyoUxypUyyqUzyrU0ysU1ytU2yuU3yvU4ywU5yxU6yyU7yzU8y0U9y1U+y2U/y3VAy4VBy5VCy6UCvN1Dy8VFy9VEvS1Gy/VHvW1IzBVJva1KzDVMzEPyVOvp1Lve1NzHVQPl1RTJVSPq1TTLVVTMVPPzVUPu1WTPVYP0VZTRVaP5VbTTVcP+VdTVVeQEVfTXVhTYVgQMViTaVjRZVkTcVXP9VlRhVmTfVoRxVpThVqR5VrTjVtTkVnQDVsS7VuTuVwS+VxT0VyTAVzT6V0TCV1UAV2TGV3TrV5TsV6TtUBt1V8N3V4TIV7TwVvQLV+TKV/TzV9N7WDN9WBTOWCT2WATFWFTQWGT5WEOBT/152ITSWJT8WHTNWMTUWNT/WKOCWPTWWQUCWOTdWSTZWTV82WV92UTlWVTbWXWD2aWE2YTxWZTeWbWK2ROGWeWR2cT3WdTgWgWf2iTiWjOJWfWl2lOLTNkpqVB3ulFUm9HJGRA/nJIPWoiOibiui+oeLoiLC+h7i9BBh/2wuzEoHUhwAB2sW22towDKGZi+W0rqnuC+ItiGCLGvO4EoBnmcB4h8iGEsW4i9oYhxnYi927J1lDi/DmHnEQurFUlN3Bh/hz3LCO2uXEXMi9XGJ0BxosjDi9COW6OyGBhnh8hzh+A83CXBhfh/EXBPhf3Bh3Cbj4B/jjB/B/h3ktJ6BxoPi120CGBTiO3IhJ3J2/3VB/XW3Lh8kFh8AfAfAZAHIDg/AhHaotl3hMA8AeBBh5kpXfh/HGh4AHngB/gTjHn2B/gJ3kkm3Uhz3mXXDlhxgPAeA4AiBDhBAfAhA8XJB4X9AYAOAIh5hho4py3gA4AhhxgHhCDjAzkQjwB/gZ33EmXAX4g8AACLgBh5jpBHAcjxkCAPAfA5jKAfh5hzhDgHAOA+B5hnkQJ3FDg4hxh3ilC14IYXiq4SuuW1gB4MYNHJB54XBnAZ4OhzhPhPA/YIB+AD4OkUgOA/YXBnrogAEshnhngfhfiih/4ri13Pu/GAHM343mhzhhh5h4hnhjAT4jB/gPA/EbDmh/mehP4oA5hv4prpigDpYsBP3VYuBj4vYKj04p4x3CCyFMhjYOBxhzhwY3IrFAABhP46B/A5hACFp4i8h+ZIijilothP5ADGZBDz5CXWXCCi5EZFBzhAYkorGoAR5JAOZKZLXfjHgJhP5OG+5PoLYNYeX33L5S5f3EhHhjAY4jAP4kgx4uB+Gu5YA/A5oiZaBw4hibm+mfZd5RDzZSYyZlh45hgcZjYkg45fhzis46ZnBHoRZMEQ4pYs3Lih5AXh5e4LXLh8Ztmui25v5Fgf4k3WlDhj5y4WCH48YY3L4XClCYItkUiOYvvBGAYpiz3LCz4QhHAeA55FhP43X/BwGcEZ46Zvl25aYOkCFhZ3ECaF5sDy6HgB6IgAiu5G6K5FhAY3A+HTW25YG0H75aB4ABhwXzCOItn76T55ZBiLgP6IgHiPB8A/AfAZ5FhhhnA/A/A/l3h4Zn46Bjh5lW6CZ6h8H7XCDHg/6hXTo/DHKGaBuYI+6yqDBH6zuba0qGBj5LuVa3rh4DuiI/61KB6ta0WkTmWnOOWmWn6+zva/uQbBzybCuUWLV67Dz1bE657Gz4bH6+WhT9bIz7bJ63bLz+bMuebN0BbO677A7AbQujbR7DbK0DbP0EbV0FbW0GbX0HbY0IbZ0Jba0Kbb0Lbc0Mbd0Nbe0Obf0Pbg0Qbh0Rbi0Sbj0Tbk0Ubl0Vbm0Wbn0Xbo0Ybp0Zbq0abr0bbs0cbt0dbu0ebv0fbw0gbx0hby0ibz0jb00kb10lb20mb30nb40ob50pb60qb70rb80sM6iAgAAAdXQVHdlbHZlTW9ua2V5cyBJbWFnZUlPIFRJRkYgd3JpdGVyIDMuNQAACwEAAAMAAAABBqMAAAEBAAMAAAABCJgAAAECAAMAAAABAAEAAAEDAAMAAAABAAUAAAEGAAMAAAABAAEAAAERAAQAAAABAAGZSQESAAMAAAABAAEAAAEVAAMAAAABAAEAAAEWAAMAAAABCJgAAAEXAAQAAAABAAA8XQExAAIAAAAmAAHVqgAAAAA=" with open('decode_image.tif', 'wb') as file_to_save: decode_image_data = base64.b64decode(payload) file_to_save.write(decode_image_data)

20,089.75

160,560

0.964883

5,527

160,718

28.055907

0.924733

0.001819

0.002399

0.003005

0.027008

0

0.143325

0.000124

160,718

7

160,561

22,959.714286

0.821622

0

0.2

0.999054

0.998942

0

1

0

1

0

false

0

0.2

0

0.2

0

1

null

0

1

0

1

null

1

0

7

b013e26fe8db807ed6aae6d51f2a6b9a2c73236f

43

py

Python

tests/generic/generators.py

dubesar/model_bakery

a4ccef6d1f4ada60d488f509be4e797e8237d6d3

[ "Apache-2.0" ]

448

2015-01-01T15:12:05.000Z

2018-12-11T12:16:58.000Z

tests/generic/generators.py

dubesar/model_bakery

a4ccef6d1f4ada60d488f509be4e797e8237d6d3

[ "Apache-2.0" ]

161

2015-01-09T03:52:48.000Z

2018-12-11T22:06:52.000Z

tests/generic/generators.py

dubesar/model_bakery

a4ccef6d1f4ada60d488f509be4e797e8237d6d3

[ "Apache-2.0" ]

109

2015-01-15T00:36:52.000Z

2018-07-26T11:22:50.000Z

def gen_value_string(): return 'value'

14.333333

23

0.697674

6

43

4.666667

0.833333

0

0.186047

43

2

24

21.5

0.8

0

0.116279

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

c6b341c44d2784468abdcf84a74b3da072386278

172

py

Python

src/rl_agents/runners/__init__.py

mateuspontesm/RL-Agents

70274b2b4b95402f03857818733fc0d52aa3e385

[ "BSD-3-Clause" ]

1

2020-10-30T15:40:01.000Z

src/rl_agents/runners/__init__.py

mateuspontesm/RL-Agents

70274b2b4b95402f03857818733fc0d52aa3e385

[ "BSD-3-Clause" ]

null

src/rl_agents/runners/__init__.py

mateuspontesm/RL-Agents

70274b2b4b95402f03857818733fc0d52aa3e385

[ "BSD-3-Clause" ]

null

from rl_agents.runners.mab_runner import simple_mab_runner from rl_agents.runners.tab_runner import simple_tab_runner __all__ = ["simple_mab_runner", "simple_tab_runner"]

34.4

58

0.854651

27

172

4.851852

0.37037

0.206107

0.183206

0.290076

0

0.075581

172

4

59

43

0.823899

0

0.197674

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

c6c0de5e28abbfbdf5fe8a41f3ddfa1bcaa1110d

16,473

py

Python

src/ue4nlp/ue_estimator_msd.py

AIRI-Institute/uncertainty_transformers

982b5ae8b39cb484ce3559a72f95d18f30487e38

[ "MIT" ]

null

src/ue4nlp/ue_estimator_msd.py

AIRI-Institute/uncertainty_transformers

982b5ae8b39cb484ce3559a72f95d18f30487e38

[ "MIT" ]

null

src/ue4nlp/ue_estimator_msd.py

AIRI-Institute/uncertainty_transformers

982b5ae8b39cb484ce3559a72f95d18f30487e38

[ "MIT" ]

null

import torch from ue4nlp.dropconnect_mc import ( LinearDropConnectMC, activate_mc_dropconnect, convert_to_mc_dropconnect, hide_dropout, ) from ue4nlp.dropout_mc import DropoutMC, activate_mc_dropout, convert_to_mc_dropout from utils.utils_dropout import set_last_dropout, get_last_dropout, set_last_dropconnect from utils.utils_heads import ( ElectraClassificationHeadIdentityPooler, BertClassificationHeadIdentityPooler, ElectraNERHeadIdentityPooler, XLNetClassificationHeadIdentityPooler, ) from utils.utils_inference import ( is_custom_head, unpad_features, pad_scores ) from ue4nlp.mahalanobis_distance import ( mahalanobis_distance, mahalanobis_distance_relative, mahalanobis_distance_marginal, compute_centroids, compute_covariance ) import numpy as np import copy from tqdm import tqdm import time import logging log = logging.getLogger() def convert_dropouts(model, ue_args): if ue_args.dropout_type == "MC": dropout_ctor = lambda p, activate: DropoutMC( p=ue_args.inference_prob, activate=False ) elif ue_args.dropout_type == "DC_MC": dropout_ctor = lambda linear, activate: LinearDropConnectMC( linear=linear, p_dropconnect=ue_args.inference_prob, activate=activate ) else: raise ValueError(f"Wrong dropout type: {ue_args.dropout_type}") if (ue_args.dropout_subs == "all") and (ue_args.dropout_type == "DC_MC"): convert_to_mc_dropconnect( model.electra.encoder, {"Linear": dropout_ctor} ) # TODO: check encoder or all dropouts ? hide_dropout(model.electra.encoder) elif (ue_args.dropout_subs == "last") and (ue_args.dropout_type == "DC_MC"): set_last_dropconnect(model, dropout_ctor) hide_dropout(model.classifier) elif ue_args.dropout_subs == "last": set_last_dropout(model, dropout_ctor(p=ue_args.inference_prob, activate=False)) elif ue_args.dropout_subs == "all": convert_to_mc_dropout(model, {"Dropout": dropout_ctor}) else: raise ValueError(f"Wrong ue args {ue_args.dropout_subs}") class UeEstimatorMSD: def __init__( self, cls, config, ue_args, eval_metric, calibration_dataset, train_dataset ): self.cls = cls self.ue_args = ue_args self.calibration_dataset = calibration_dataset self.eval_metric = eval_metric self.train_dataset = train_dataset self.config = config def fit_ue(self, X, y=None, X_test=None): cls = self.cls model = self.cls._auto_model log.info("****************Start fitting covariance and centroids **************") if y is None: y = self._exctract_labels(X) self._replace_model_head() X_features = self._exctract_features(X) self.class_cond_centroids = self._fit_centroids(X_features, y) self.class_cond_covarince = self._fit_covariance(X_features, y) self._restore_model_head() log.info("**************Done.**********************") def _fit_covariance(self, X, y, class_cond=True): if class_cond: return compute_covariance(self.class_cond_centroids, X, y, class_cond) return compute_covariance(self.train_centroid, X, y, class_cond) def _fit_centroids(self, X, y, class_cond=True): return compute_centroids(X, y, class_cond) def _replace_model_head(self): cls = self.cls model = self.cls._auto_model self.old_classifier = copy.deepcopy(model.classifier) use_paper_version = self.ue_args.get("use_paper_version", False) use_activation = not use_paper_version if is_custom_head(model): model.classifier = ElectraClassificationHeadIdentityPooler(model.classifier, use_activation) elif "xlnet" in self.config.model.model_name_or_path: # so XLNet hasn't classifier, we replace sequence_summary and logits_proj self.cls.model.logits_proj = XLNetClassificationHeadIdentityPooler() else: model.classifier = BertClassificationHeadIdentityPooler(model.classifier) def _restore_model_head(self): model = self.cls._auto_model model.classifier = self.old_classifier def _exctract_labels(self, X): return np.asarray([example["label"] for example in X]) def _exctract_features(self, X): cls = self.cls model = self.cls._auto_model try: X = X.remove_columns("label") except: X.dataset = X.dataset.remove_columns("label") X_features = cls.predict(X, apply_softmax=False, return_preds=False)[0] return X_features def _calc_distinctivness_score(self, full_mahalanobis_distance, eval_labels, eval_results): start_unc = time.time() min_mahalanobis_distance = np.min(full_mahalanobis_distance, axis=-1) # calc penalty penalty = self.config.mixup.margin * np.where( eval_labels == np.argmin(full_mahalanobis_distance, axis=-1), 0, 1 ) dist_score = np.log10( self.config.mixup.beta1 * penalty + self.config.mixup.beta2 * min_mahalanobis_distance ) # after calc uncertainty score max_probs = np.max( np.mean(np.asarray(eval_results["sampled_probabilities"]), axis=0), axis=-1 ) uncertainty_score = ( self.config.mixup.gamma1 / max_probs + self.config.mixup.gamma2 * dist_score ) end_unc = time.time() eval_results["uncertainty_score"] = uncertainty_score.tolist() return eval_results, end_unc - start_unc def _predict_with_fitted_cov(self, X, y, eval_results): cls = self.cls model = self.cls._auto_model self._replace_model_head() log.info("****************Compute MD with fitted covariance and centroids **************") start = time.time() if y is None: y = self._exctract_labels(X) X_features = self._exctract_features(X) end = time.time() md, inf_time = mahalanobis_distance(None, None, X_features, self.class_cond_centroids, self.class_cond_covarince, True) sum_inf_time = inf_time + (end - start) eval_results["mahalanobis_distance"] = md.tolist() self._restore_model_head() log.info("**************Done.**********************") return eval_results, md, sum_inf_time def _activate_dropouts(self, model): ue_args = self.ue_args log.info("******Perform stochastic inference...*******") if ue_args.dropout_type == "DC_MC": activate_mc_dropconnect(model, activate=True, random=ue_args.inference_prob) else: convert_dropouts(model, ue_args) activate_mc_dropout(model, activate=True, random=ue_args.inference_prob) if ue_args.use_cache: log.info("Caching enabled.") model.enable_cache() return model def _deactivate_dropouts(self, model): activate_mc_dropout(model, activate=False) activate_mc_dropconnect(model, activate=False) return model def _predict_mc(self, X, y): ue_args = self.ue_args eval_metric = self.eval_metric model = self.cls._auto_model start = time.time() model = self._activate_dropouts(model) eval_results = {} eval_results["sampled_probabilities"] = [] eval_results["sampled_answers"] = [] log.info("****************Start runs**************") for i in tqdm(range(ue_args.committee_size)): preds, probs = self.cls.predict(X)[:2] eval_results["sampled_probabilities"].append(probs.tolist()) eval_results["sampled_answers"].append(preds.tolist()) if ue_args.eval_passes: eval_score = eval_metric.compute( predictions=preds, references=true_labels ) log.info(f"Eval score: {eval_score}") end = time.time() log.info("**************Done.********************") model = self._deactivate_dropouts(model) return eval_results, end - start def _predict_msd(self, X, y): ue_args = self.ue_args model = self.cls._auto_model if y is None: y = self._exctract_labels(X) eval_results, mc_time = self._predict_mc(X, y) eval_results, full_mahalanobis_distance, md_time = self._predict_with_fitted_cov(X, y, eval_results) eval_results["eval_labels"] = y # so now we have sampled probs and mahalanobis distances in eval_preds # we have to calc distinctivness score and uncertainty scores eval_results, unc_time = self._calc_distinctivness_score(full_mahalanobis_distance, y, eval_results) sum_inf_time = mc_time + md_time + unc_time eval_results["ue_time"] = sum_inf_time log.info(f"UE time: {sum_inf_time}") return eval_results def __call__(self, X, y): return self._predict_msd(X, y) class UeEstimatorMSDNer: def __init__( self, cls, config, ue_args, eval_metric, calibration_dataset, train_dataset ): self.cls = cls self.ue_args = ue_args self.calibration_dataset = calibration_dataset self.eval_metric = eval_metric self.train_dataset = train_dataset self.config = config def fit_ue(self, X, y=None, X_test=None): cls = self.cls model = self.cls._auto_model log.info("****************Start fitting covariance and centroids **************") if y is None: y, y_shape = self._exctract_labels(X) self._replace_model_head() X_features = self._exctract_features(X) self.class_cond_centroids = self._fit_centroids(X_features, y) self.class_cond_covarince = self._fit_covariance(X_features, y) self._restore_model_head() log.info("**************Done.**********************") def _fit_covariance(self, X, y, class_cond=True): if class_cond: return compute_covariance(self.class_cond_centroids, X, y, class_cond) return compute_covariance(self.train_centroid, X, y, class_cond) def _fit_centroids(self, X, y, class_cond=True): return compute_centroids(X, y, class_cond) def _replace_model_head(self): cls = self.cls model = self.cls._auto_model self.old_classifier = copy.deepcopy(model.classifier) use_paper_version = self.ue_args.get("use_paper_version", False) use_activation = not use_paper_version if is_custom_head(model): model.classifier = ElectraNERHeadIdentityPooler(model.classifier, use_activation) else: model.classifier = BertClassificationHeadIdentityPooler(model.classifier) def _restore_model_head(self): model = self.cls._auto_model model.classifier = self.old_classifier def _exctract_labels(self, X): y = np.asarray([example["labels"] for example in X]) y_shape = y.shape return y.reshape(-1), y_shape def _exctract_features(self, X): cls = self.cls model = self.cls._auto_model try: X = X.remove_columns("labels") except: X.dataset = X.dataset.remove_columns("labels") X_features = cls.predict(X, apply_softmax=False, return_preds=False)[0] X_features = X_features.reshape(-1, X_features.shape[-1]) return X_features def _calc_distinctivness_score(self, full_mahalanobis_distance, eval_labels, eval_shape, eval_results): start_unc = time.time() min_mahalanobis_distance = np.min(full_mahalanobis_distance, axis=-1).reshape( eval_shape ) # calc penalty penalty = self.config.mixup.margin * np.where( eval_labels == np.argmin(full_mahalanobis_distance, axis=-1).reshape(eval_shape), 0, 1, ) dist_score = np.log10( self.config.mixup.beta1 * penalty + self.config.mixup.beta2 * min_mahalanobis_distance ) # after calc uncertainty score max_probs = np.max( np.mean(np.asarray(eval_results["sampled_probabilities"]), axis=0), axis=-1 ) uncertainty_score = ( self.config.mixup.gamma1 / max_probs + self.config.mixup.gamma2 * dist_score ) end_unc = time.time() eval_results["uncertainty_score"] = uncertainty_score.tolist() return eval_results, end_unc - start_unc def _predict_with_fitted_cov(self, X, y, eval_results): cls = self.cls model = self.cls._auto_model self._replace_model_head() log.info("****************Compute MD with fitted covariance and centroids **************") start = time.time() y_pad, y_shape = self._exctract_labels(X) X_features = self._exctract_features(X) end = time.time() md, inf_time = mahalanobis_distance(None, None, X_features, self.class_cond_centroids, self.class_cond_covarince, True) sum_inf_time = inf_time + (end - start) eval_results["mahalanobis_distance"] = md.tolist() self._restore_model_head() log.info("**************Done.**********************") return eval_results, md, sum_inf_time def _activate_dropouts(self, model): ue_args = self.ue_args log.info("******Perform stochastic inference...*******") if ue_args.dropout_type == "DC_MC": activate_mc_dropconnect(model, activate=True, random=ue_args.inference_prob) else: convert_dropouts(model, ue_args) activate_mc_dropout(model, activate=True, random=ue_args.inference_prob) if ue_args.use_cache: log.info("Caching enabled.") model.enable_cache() return model def _deactivate_dropouts(self, model): activate_mc_dropout(model, activate=False) activate_mc_dropconnect(model, activate=False) return model def _predict_mc(self, X, y): ue_args = self.ue_args eval_metric = self.eval_metric model = self.cls._auto_model start = time.time() model = self._activate_dropouts(model) eval_results = {} eval_results["sampled_probabilities"] = [] eval_results["sampled_answers"] = [] log.info("****************Start runs**************") for i in tqdm(range(ue_args.committee_size)): preds, probs = self.cls.predict(X)[:2] eval_results["sampled_probabilities"].append(probs.tolist()) eval_results["sampled_answers"].append(preds.tolist()) if ue_args.eval_passes: eval_score = eval_metric.compute( predictions=preds, references=true_labels ) log.info(f"Eval score: {eval_score}") end = time.time() log.info("**************Done.********************") model = self._deactivate_dropouts(model) return eval_results, end - start def _predict_msd(self, X, y): ue_args = self.ue_args model = self.cls._auto_model y_pad, y_shape = self._exctract_labels(X) eval_results, mc_time = self._predict_mc(X, y) eval_results, full_mahalanobis_distance, md_time = self._predict_with_fitted_cov(X, y, eval_results) eval_results["eval_labels"] = y # so now we have sampled probs and mahalanobis distances in eval_preds # we have to calc distinctivness score and uncertainty scores eval_results, unc_time = self._calc_distinctivness_score(full_mahalanobis_distance, y_pad, y_shape, eval_results) sum_inf_time = mc_time + md_time + unc_time eval_results["ue_time"] = sum_inf_time log.info(f"UE time: {sum_inf_time}") return eval_results def __call__(self, X, y): return self._predict_msd(X, y)

35.967249

121

0.624962

1,958

16,473

4.93667

0.101634

0.030416

0.009311

0.023174

0.83023

0.814815

0.808194

0.795986

0.790606

0.788537

0

0.002802

0.26334

16,473

457

122

36.045952

0.793737

0.027378

0

0.728571

0

0.083068

0.033852

0

0.002188

0

1

0.088571

false

0.005714

0.034286

0.014286

0.197143

0

null

0

1

0

1

0

null

0

7

c6c5a02a46913bc7c4d40aaecf577b10f782b3bb

21,561

py

Python

fhir/resources/tests/test_allergyintolerance.py

mmabey/fhir.resources

cc73718e9762c04726cd7de240c8f2dd5313cbe1

[ "BSD-3-Clause" ]

null

fhir/resources/tests/test_allergyintolerance.py

mmabey/fhir.resources

cc73718e9762c04726cd7de240c8f2dd5313cbe1

[ "BSD-3-Clause" ]

null

fhir/resources/tests/test_allergyintolerance.py

mmabey/fhir.resources

cc73718e9762c04726cd7de240c8f2dd5313cbe1

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- """ Profile: http://hl7.org/fhir/StructureDefinition/AllergyIntolerance Release: R4 Version: 4.0.1 Build ID: 9346c8cc45 Last updated: 2019-11-01T09:29:23.356+11:00 """ import io import json import os import unittest import pytest from .. import allergyintolerance from ..fhirdate import FHIRDate from .fixtures import force_bytes @pytest.mark.usefixtures("base_settings") class AllergyIntoleranceTests(unittest.TestCase): def instantiate_from(self, filename): datadir = os.environ.get("FHIR_UNITTEST_DATADIR") or "" with io.open(os.path.join(datadir, filename), "r", encoding="utf-8") as handle: js = json.load(handle) self.assertEqual("AllergyIntolerance", js["resourceType"]) return allergyintolerance.AllergyIntolerance(js) def testAllergyIntolerance1(self): inst = self.instantiate_from("allergyintolerance-nkla.json") self.assertIsNotNone( inst, "Must have instantiated a AllergyIntolerance instance" ) self.implAllergyIntolerance1(inst) js = inst.as_json() self.assertEqual("AllergyIntolerance", js["resourceType"]) inst2 = allergyintolerance.AllergyIntolerance(js) self.implAllergyIntolerance1(inst2) def implAllergyIntolerance1(self, inst): self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].code), force_bytes("active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].display), force_bytes("Active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical" ), ) self.assertEqual( force_bytes(inst.code.coding[0].code), force_bytes("716184000") ) self.assertEqual( force_bytes(inst.code.coding[0].display), force_bytes("No Known Latex Allergy (situation)"), ) self.assertEqual( force_bytes(inst.code.coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual( force_bytes(inst.code.text), force_bytes("No Known Latex Allergy") ) self.assertEqual(force_bytes(inst.id), force_bytes("nkla")) self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST")) self.assertEqual( force_bytes(inst.meta.tag[0].display), force_bytes("test health data") ) self.assertEqual( force_bytes(inst.meta.tag[0].system), force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"), ) self.assertEqual( inst.recordedDate.date, FHIRDate("2015-08-06T15:37:31-06:00").date ) self.assertEqual(inst.recordedDate.as_json(), "2015-08-06T15:37:31-06:00") self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].code), force_bytes("confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].display), force_bytes("Confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-verification" ), ) def testAllergyIntolerance2(self): inst = self.instantiate_from("allergyintolerance-example.json") self.assertIsNotNone( inst, "Must have instantiated a AllergyIntolerance instance" ) self.implAllergyIntolerance2(inst) js = inst.as_json() self.assertEqual("AllergyIntolerance", js["resourceType"]) inst2 = allergyintolerance.AllergyIntolerance(js) self.implAllergyIntolerance2(inst2) def implAllergyIntolerance2(self, inst): self.assertEqual(force_bytes(inst.category[0]), force_bytes("food")) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].code), force_bytes("active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].display), force_bytes("Active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical" ), ) self.assertEqual( force_bytes(inst.code.coding[0].code), force_bytes("227493005") ) self.assertEqual( force_bytes(inst.code.coding[0].display), force_bytes("Cashew nuts") ) self.assertEqual( force_bytes(inst.code.coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual(force_bytes(inst.criticality), force_bytes("high")) self.assertEqual(force_bytes(inst.id), force_bytes("example")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("http://acme.com/ids/patients/risks"), ) self.assertEqual(force_bytes(inst.identifier[0].value), force_bytes("49476534")) self.assertEqual(inst.lastOccurrence.date, FHIRDate("2012-06").date) self.assertEqual(inst.lastOccurrence.as_json(), "2012-06") self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST")) self.assertEqual( force_bytes(inst.meta.tag[0].display), force_bytes("test health data") ) self.assertEqual( force_bytes(inst.meta.tag[0].system), force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"), ) self.assertEqual( force_bytes(inst.note[0].text), force_bytes( "The criticality is high becasue of the observed anaphylactic reaction when challenged with cashew extract." ), ) self.assertEqual(inst.onsetDateTime.date, FHIRDate("2004").date) self.assertEqual(inst.onsetDateTime.as_json(), "2004") self.assertEqual( force_bytes(inst.reaction[0].description), force_bytes( "Challenge Protocol. Severe reaction to subcutaneous cashew extract. Epinephrine administered" ), ) self.assertEqual( force_bytes(inst.reaction[0].exposureRoute.coding[0].code), force_bytes("34206005"), ) self.assertEqual( force_bytes(inst.reaction[0].exposureRoute.coding[0].display), force_bytes("Subcutaneous route"), ) self.assertEqual( force_bytes(inst.reaction[0].exposureRoute.coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual( force_bytes(inst.reaction[0].manifestation[0].coding[0].code), force_bytes("39579001"), ) self.assertEqual( force_bytes(inst.reaction[0].manifestation[0].coding[0].display), force_bytes("Anaphylactic reaction"), ) self.assertEqual( force_bytes(inst.reaction[0].manifestation[0].coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual(inst.reaction[0].onset.date, FHIRDate("2012-06-12").date) self.assertEqual(inst.reaction[0].onset.as_json(), "2012-06-12") self.assertEqual(force_bytes(inst.reaction[0].severity), force_bytes("severe")) self.assertEqual( force_bytes(inst.reaction[0].substance.coding[0].code), force_bytes("1160593"), ) self.assertEqual( force_bytes(inst.reaction[0].substance.coding[0].display), force_bytes("cashew nut allergenic extract Injectable Product"), ) self.assertEqual( force_bytes(inst.reaction[0].substance.coding[0].system), force_bytes("http://www.nlm.nih.gov/research/umls/rxnorm"), ) self.assertEqual( force_bytes(inst.reaction[1].manifestation[0].coding[0].code), force_bytes("64305001"), ) self.assertEqual( force_bytes(inst.reaction[1].manifestation[0].coding[0].display), force_bytes("Urticaria"), ) self.assertEqual( force_bytes(inst.reaction[1].manifestation[0].coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual( force_bytes(inst.reaction[1].note[0].text), force_bytes( "The patient reports that the onset of urticaria was within 15 minutes of eating cashews." ), ) self.assertEqual(inst.reaction[1].onset.date, FHIRDate("2004").date) self.assertEqual(inst.reaction[1].onset.as_json(), "2004") self.assertEqual( force_bytes(inst.reaction[1].severity), force_bytes("moderate") ) self.assertEqual( inst.recordedDate.date, FHIRDate("2014-10-09T14:58:00+11:00").date ) self.assertEqual(inst.recordedDate.as_json(), "2014-10-09T14:58:00+11:00") self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual(force_bytes(inst.type), force_bytes("allergy")) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].code), force_bytes("confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].display), force_bytes("Confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-verification" ), ) def testAllergyIntolerance3(self): inst = self.instantiate_from("allergyintolerance-nka.json") self.assertIsNotNone( inst, "Must have instantiated a AllergyIntolerance instance" ) self.implAllergyIntolerance3(inst) js = inst.as_json() self.assertEqual("AllergyIntolerance", js["resourceType"]) inst2 = allergyintolerance.AllergyIntolerance(js) self.implAllergyIntolerance3(inst2) def implAllergyIntolerance3(self, inst): self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].code), force_bytes("active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].display), force_bytes("Active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical" ), ) self.assertEqual( force_bytes(inst.code.coding[0].code), force_bytes("716186003") ) self.assertEqual( force_bytes(inst.code.coding[0].display), force_bytes("No Known Allergy (situation)"), ) self.assertEqual( force_bytes(inst.code.coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual(force_bytes(inst.code.text), force_bytes("NKA")) self.assertEqual(force_bytes(inst.id), force_bytes("nka")) self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST")) self.assertEqual( force_bytes(inst.meta.tag[0].display), force_bytes("test health data") ) self.assertEqual( force_bytes(inst.meta.tag[0].system), force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"), ) self.assertEqual( inst.recordedDate.date, FHIRDate("2015-08-06T15:37:31-06:00").date ) self.assertEqual(inst.recordedDate.as_json(), "2015-08-06T15:37:31-06:00") self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].code), force_bytes("confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].display), force_bytes("Confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-verification" ), ) def testAllergyIntolerance4(self): inst = self.instantiate_from("allergyintolerance-medication.json") self.assertIsNotNone( inst, "Must have instantiated a AllergyIntolerance instance" ) self.implAllergyIntolerance4(inst) js = inst.as_json() self.assertEqual("AllergyIntolerance", js["resourceType"]) inst2 = allergyintolerance.AllergyIntolerance(js) self.implAllergyIntolerance4(inst2) def implAllergyIntolerance4(self, inst): self.assertEqual(force_bytes(inst.category[0]), force_bytes("medication")) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].code), force_bytes("active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].display), force_bytes("Active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical" ), ) self.assertEqual(force_bytes(inst.code.coding[0].code), force_bytes("7980")) self.assertEqual( force_bytes(inst.code.coding[0].display), force_bytes("Penicillin G") ) self.assertEqual( force_bytes(inst.code.coding[0].system), force_bytes("http://www.nlm.nih.gov/research/umls/rxnorm"), ) self.assertEqual(force_bytes(inst.criticality), force_bytes("high")) self.assertEqual(force_bytes(inst.id), force_bytes("medication")) self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST")) self.assertEqual( force_bytes(inst.meta.tag[0].display), force_bytes("test health data") ) self.assertEqual( force_bytes(inst.meta.tag[0].system), force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"), ) self.assertEqual( force_bytes(inst.reaction[0].manifestation[0].coding[0].code), force_bytes("247472004"), ) self.assertEqual( force_bytes(inst.reaction[0].manifestation[0].coding[0].display), force_bytes("Hives"), ) self.assertEqual( force_bytes(inst.reaction[0].manifestation[0].coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual(inst.recordedDate.date, FHIRDate("2010-03-01").date) self.assertEqual(inst.recordedDate.as_json(), "2010-03-01") self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].code), force_bytes("unconfirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].display), force_bytes("Unconfirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-verification" ), ) def testAllergyIntolerance5(self): inst = self.instantiate_from("allergyintolerance-fishallergy.json") self.assertIsNotNone( inst, "Must have instantiated a AllergyIntolerance instance" ) self.implAllergyIntolerance5(inst) js = inst.as_json() self.assertEqual("AllergyIntolerance", js["resourceType"]) inst2 = allergyintolerance.AllergyIntolerance(js) self.implAllergyIntolerance5(inst2) def implAllergyIntolerance5(self, inst): self.assertEqual(force_bytes(inst.category[0]), force_bytes("food")) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].code), force_bytes("active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].display), force_bytes("Active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical" ), ) self.assertEqual( force_bytes(inst.code.coding[0].code), force_bytes("227037002") ) self.assertEqual( force_bytes(inst.code.coding[0].display), force_bytes("Fish - dietary (substance)"), ) self.assertEqual( force_bytes(inst.code.coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual( force_bytes(inst.code.text), force_bytes("Allergic to fresh fish. Tolerates canned fish"), ) self.assertEqual(force_bytes(inst.id), force_bytes("fishallergy")) self.assertEqual( force_bytes(inst.identifier[0].system), force_bytes("http://acme.com/ids/patients/risks"), ) self.assertEqual(force_bytes(inst.identifier[0].value), force_bytes("49476535")) self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST")) self.assertEqual( force_bytes(inst.meta.tag[0].display), force_bytes("test health data") ) self.assertEqual( force_bytes(inst.meta.tag[0].system), force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"), ) self.assertEqual( inst.recordedDate.date, FHIRDate("2015-08-06T15:37:31-06:00").date ) self.assertEqual(inst.recordedDate.as_json(), "2015-08-06T15:37:31-06:00") self.assertEqual(force_bytes(inst.text.status), force_bytes("additional")) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].code), force_bytes("confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].display), force_bytes("Confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-verification" ), ) def testAllergyIntolerance6(self): inst = self.instantiate_from("allergyintolerance-nkda.json") self.assertIsNotNone( inst, "Must have instantiated a AllergyIntolerance instance" ) self.implAllergyIntolerance6(inst) js = inst.as_json() self.assertEqual("AllergyIntolerance", js["resourceType"]) inst2 = allergyintolerance.AllergyIntolerance(js) self.implAllergyIntolerance6(inst2) def implAllergyIntolerance6(self, inst): self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].code), force_bytes("active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].display), force_bytes("Active") ) self.assertEqual( force_bytes(inst.clinicalStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-clinical" ), ) self.assertEqual( force_bytes(inst.code.coding[0].code), force_bytes("409137002") ) self.assertEqual( force_bytes(inst.code.coding[0].display), force_bytes("No Known Drug Allergy (situation)"), ) self.assertEqual( force_bytes(inst.code.coding[0].system), force_bytes("http://snomed.info/sct"), ) self.assertEqual(force_bytes(inst.code.text), force_bytes("NKDA")) self.assertEqual(force_bytes(inst.id), force_bytes("nkda")) self.assertEqual(force_bytes(inst.meta.tag[0].code), force_bytes("HTEST")) self.assertEqual( force_bytes(inst.meta.tag[0].display), force_bytes("test health data") ) self.assertEqual( force_bytes(inst.meta.tag[0].system), force_bytes("http://terminology.hl7.org/CodeSystem/v3-ActReason"), ) self.assertEqual( inst.recordedDate.date, FHIRDate("2015-08-06T15:37:31-06:00").date ) self.assertEqual(inst.recordedDate.as_json(), "2015-08-06T15:37:31-06:00") self.assertEqual(force_bytes(inst.text.status), force_bytes("generated")) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].code), force_bytes("confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].display), force_bytes("Confirmed"), ) self.assertEqual( force_bytes(inst.verificationStatus.coding[0].system), force_bytes( "http://terminology.hl7.org/CodeSystem/allergyintolerance-verification" ), )

40.758034

124

0.619313

2,214

21,561

5.912376

0.103433

0.181054

0.18029

0.225363

0.847441

0.840107

0.799236

0.782047

0.763636

0.756455

0

0.035481

0.254905

21,561

528

125

40.835227

0.779334

0.008441

0

0.571429

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0.021244

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0.303823

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false

0

0.016097

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0.046278

0

null

0

1

0

null

0

8

c6eeb9023482e10f5b4fa845aad6b92ecc185fdc

7,747

py

Python

tests/controllers/test_query_param_controller.py

mnaumanali94/PYTHON-SDK

97eceab462d86b8666ff1f74830d30cae5202a35

[ "MIT" ]

null

tests/controllers/test_query_param_controller.py

mnaumanali94/PYTHON-SDK

97eceab462d86b8666ff1f74830d30cae5202a35

[ "MIT" ]

null

tests/controllers/test_query_param_controller.py

mnaumanali94/PYTHON-SDK

97eceab462d86b8666ff1f74830d30cae5202a35

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ tests.controllers.test_query_param_controller This file was automatically generated for Stamplay by APIMATIC BETA v2.0 on 08/03/2016 """ import jsonpickle from tests.controllers.controller_test_base import * class QueryParamControllerTests(ControllerTestBase): @classmethod def setUpClass(cls): super(QueryParamControllerTests, cls).setUpClass() cls.controller = cls.api_client.query_param # Todo: Add description for test test_simple_query def test_simple_query(self): # Parameters for the API call boolean = True number = 4 string = 'TestString' # dictionary for optional query parameters optional_query_parameters = {} # Perform the API call through the SDK function result = self.controller.simple_query(boolean, number, string, optional_query_parameters) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_no_params def test_no_params(self): # Perform the API call through the SDK function result = self.controller.no_params() # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_string_param def test_string_param(self): # Parameters for the API call string = 'l;asd;asdwe[2304&&;\'.d??\\a\\\\\\;sd//' # Perform the API call through the SDK function result = self.controller.string_param(string) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_url_param def test_url_param(self): # Parameters for the API call url = 'https://www.shahidisawesome.com/and/also/a/narcissist?thisis=aparameter&another=one' # Perform the API call through the SDK function result = self.controller.url_param(url) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_multiple_params def test_multiple_params(self): # Parameters for the API call number = 123412312 precision = 1112.34 string = '""test./;";12&&3asl"";"qw1&34"///..//.' url = 'http://www.abc.com/test?a=b&c="http://lolol.com?param=no&another=lol"' # Perform the API call through the SDK function result = self.controller.multiple_params(number, precision, string, url) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_number_array def test_number_array(self): # Parameters for the API call integers = APIHelper.json_deserialize('[1,2,3,4,5]') # Perform the API call through the SDK function result = self.controller.number_array(integers) # Test response code self.assertTrue(self.response_catcher.response.status_code in list(range(200, 209))) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_string_array def test_string_array(self): # Parameters for the API call strings = APIHelper.json_deserialize('["abc", "def"]') # Perform the API call through the SDK function result = self.controller.string_array(strings) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_string_enum_array def test_string_enum_array(self): # Parameters for the API call days = APIHelper.json_deserialize('["Tuesday", "Saturday", "Wednesday", "Monday", "Sunday"]') # Perform the API call through the SDK function result = self.controller.string_enum_array(days) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True)) # Todo: Add description for test test_integer_enum_array def test_integer_enum_array(self): # Parameters for the API call suites = APIHelper.json_deserialize('[1, 3, 4, 2, 3]') # Perform the API call through the SDK function result = self.controller.integer_enum_array(suites) # Test response code self.assertEquals(self.response_catcher.response.status_code, 200) # Test whether the captured response is as we expected self.assertIsNotNone(result) expected_body = APIHelper.json_deserialize('{"passed":true}') received_body = APIHelper.json_deserialize(self.response_catcher.response.raw_body) self.assertTrue(TestHelper.match_body(expected_body, received_body, check_values = True))

41.427807

101

0.700529

933

7,747

5.630225

0.150054

0.054445

0.100514

0.092519

0.762421

0.739577

0.71521

0.701504

0

0.012631

0.213115

7,747

186

102

41.650538

0.849081

0.249387

0

0.52381

1

0

0.078408

0.006606

0

0.005376

0.321429

1

0.119048

false

0.107143

0.02381

0

0.154762

0

null

0

1

0

1

0

null

0

1

0

7

c6f2ff86711c334b3062d6097e2808b816b494be

1,907

py

Python

crawl_requests/req_api.py

shinalone/crawl_requests

cda58c3092a9986d7c507361fdb1a0dc97d37daa

[ "MIT" ]

null

crawl_requests/req_api.py

shinalone/crawl_requests

cda58c3092a9986d7c507361fdb1a0dc97d37daa

[ "MIT" ]

null

crawl_requests/req_api.py

shinalone/crawl_requests

cda58c3092a9986d7c507361fdb1a0dc97d37daa

[ "MIT" ]

null

#coding:utf-8 import random import requests def req_get(url :str,headers :dict,UA_pool :list,proxy_pool :list,**kwargs): session = requests.Session() try: res = session.get(url,headers=headers,**kwargs) return res except: try: if headers: headers.update({'User-Agent': random.choice(UA_pool)}) else: headers = {'User-Agent': random.choice(UA_pool)} #print('--Add UA visit web:--') res = session.get(url,headers=headers,**kwargs) return res except: if headers: headers.update({'User-Agent': random.choice(UA_pool)}) else: headers = {'User-Agent': random.choice(UA_pool)} #print('--Add UA and proxy visit web:--') res = session.get(url,headers=headers,proxies=random.choice(proxy_pool),**kwargs) return res finally: session.close() def req_post(url :str,headers :dict,UA_pool :list,proxy_pool :list,**kwargs): session = requests.Session() try: res = session.post(url,headers=headers,**kwargs) return res except: try: if headers: headers.update({'User-Agent': random.choice(UA_pool)}) else: headers = {'User-Agent': random.choice(UA_pool)} # print('--Add UA visit web:--') res = session.post(url,headers=headers,**kwargs) return res except: if headers: headers.update({'User-Agent': random.choice(UA_pool)}) else: headers = {'User-Agent': random.choice(UA_pool)} # print('--Add UA and proxy visit web:--') res = session.post(url,headers=headers,proxies=random.choice(proxy_pool),**kwargs) return res finally: session.close()

33.45614

94

0.548506

215

1,907

4.790698

0.176744

0.058252

0.116505

0.163107

0.946602

0.939806

0

0.00077

0.318825

1,907

56

95

34.053571

0.792148

0.080755

0

0.869565

0

0.045767

0

1

0.043478

false

0

0.043478

0

0.217391

0

null

0

1

0

1

0

null

0

8

05a21014f8db5d36c7bfd9ecf3d0d5fc3f691fda

142,454

py

Python

omegapoint/schema.py

RossFabricant/omegapoint

b0a8c419a64395d62976dc39847b094b4f85d47c

[ "MIT" ]

6

2020-07-10T15:07:58.000Z

2021-08-12T23:13:48.000Z

omegapoint/schema.py

RossFabricant/omegapoint

b0a8c419a64395d62976dc39847b094b4f85d47c

[ "MIT" ]

null

omegapoint/schema.py

RossFabricant/omegapoint

b0a8c419a64395d62976dc39847b094b4f85d47c

[ "MIT" ]

1

2020-06-23T14:54:14.000Z

import sgqlc.types import sgqlc.types.datetime schema = sgqlc.types.Schema() ######################################################################## # Scalars and Enumerations ######################################################################## class ActiveContributorType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('WEIGHT', 'EXPOSURE') class Aggregation(sgqlc.types.Enum): __schema__ = schema __choices__ = ('LAST',) class BetaType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('PREDICTED', 'HISTORICAL') Boolean = sgqlc.types.Boolean class CompositionConstraintType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('CLASSIFICATION', 'SECTOR', 'INDUSTRY_GROUP', 'INDUSTRY', 'CURRENCY', 'COUNTRY') class ContributorGroupType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('SECTOR', 'INDUSTRY_GROUP', 'INDUSTRY', 'CLASSIFICATION', 'CURRENCY', 'COUNTRY', 'LONG_SHORT') class Cusip(sgqlc.types.Scalar): __schema__ = schema Date = sgqlc.types.datetime.Date DateTime = sgqlc.types.datetime.DateTime class Descriptor(sgqlc.types.Enum): __schema__ = schema __choices__ = ('ASSET_CLASS', 'COUNTRY', 'CURRENCY', 'AVERAGE_DAILY_VOLUME', 'SECTOR', 'MARKET_CAPITALIZATION') class EquityIdFormat(sgqlc.types.Enum): __schema__ = schema __choices__ = ('SEDOL', 'MODEL_PROVIDER_ID', 'ISIN', 'CUSIP') class ExperimentType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('SIMULATION', 'PORTFOLIO', 'OPTIMIZATION', 'SMART_TRADE') Float = sgqlc.types.Float class ImpliedReturnsType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('MARKET',) class IndustryClassificationType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('SECTOR', 'INDUSTRY_GROUP', 'INDUSTRY') Int = sgqlc.types.Int class Interval(sgqlc.types.Enum): __schema__ = schema __choices__ = ('END_DATE', 'WEEKLY_START_DATES', 'MONTHLY_START_DATES', 'AUTO') class Isin(sgqlc.types.Scalar): __schema__ = schema class PositionSetInterval(sgqlc.types.Enum): __schema__ = schema __choices__ = ('END_DATE', 'POSITION_SET_DATES', 'WEEKLY_START_DATES', 'MONTHLY_START_DATES', 'AUTO') class PositionSetType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('PORTFOLIO', 'BENCHMARK', 'SWAP', 'RESEARCH_TOPIC') class ReferenceInstrumentType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('SECURITY',) class ResourceType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('PORTFOLIO', 'RESEARCH_TOPIC') class RiskType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('TOTAL', 'VAR_DECOMP_SPECIFIC', 'VAR_DECOMP_FACTORS') class ScaleFormat(sgqlc.types.Enum): __schema__ = schema __choices__ = ('DEFAULT', 'PERCENT_GMV', 'PERCENT_MODELED_GMV', 'PERCENT_EQUITY_GMV', 'PERCENT_EQUITY_MODELED_GMV') class SecurityListType(sgqlc.types.Enum): __schema__ = schema __choices__ = ('WATCHLIST',) class Sedol(sgqlc.types.Scalar): __schema__ = schema class SegmentBookFilter(sgqlc.types.Enum): __schema__ = schema __choices__ = ('LONG', 'SHORT') class SegmentNormalization(sgqlc.types.Enum): __schema__ = schema __choices__ = ('STANDALONE', 'CONTRIBUTION') class ShortId(sgqlc.types.Scalar): __schema__ = schema class SortDirection(sgqlc.types.Enum): __schema__ = schema __choices__ = ('ASC', 'DESC') String = sgqlc.types.String class Universe(sgqlc.types.Enum): __schema__ = schema __choices__ = ('PORTFOLIO', 'WATCHLIST', 'ETF', 'SWAP') ######################################################################## # Input Objects ######################################################################## class BetaConstraintInput(sgqlc.types.Input): __schema__ = schema historical = sgqlc.types.Field('MinMaxInput', graphql_name='historical') predicted = sgqlc.types.Field('MinMaxInput', graphql_name='predicted') class ClassificationSecurityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('UniversalIdInput'), graphql_name='id') as_of = sgqlc.types.Field(Date, graphql_name='asOf') classification = sgqlc.types.Field(sgqlc.types.non_null('ClassificationSecurityValueInput'), graphql_name='classification') class ClassificationSecurityValueInput(sgqlc.types.Input): __schema__ = schema value = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='value') class ClassificationSort(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') tier = sgqlc.types.Field(String, graphql_name='tier') class ContentSetDateInput(sgqlc.types.Input): __schema__ = schema date = sgqlc.types.Field(sgqlc.types.non_null(Date), graphql_name='date') securities = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('ContentSetDateSecurityInput'))), graphql_name='securities') class ContentSetDateSecurityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('UniversalIdInput'), graphql_name='id') factors = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('ContentSetFactorValueInput'))), graphql_name='factors') class ContentSetFactorValueInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') value = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='value') class CustomExposureObjectiveTerm(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') weight = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='weight') content_set_id = sgqlc.types.Field(String, graphql_name='contentSetId') class CustomObjectiveTermWeight(sgqlc.types.Input): __schema__ = schema weight = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='weight') class CustomOptimizationObjective(sgqlc.types.Input): __schema__ = schema minimize_risk = sgqlc.types.Field('CustomRiskObjectiveTerm', graphql_name='minimizeRisk') maximize_forecast_return = sgqlc.types.Field(CustomObjectiveTermWeight, graphql_name='maximizeForecastReturn') minimize_market_impact = sgqlc.types.Field(CustomObjectiveTermWeight, graphql_name='minimizeMarketImpact') maximize_exposures = sgqlc.types.Field(sgqlc.types.list_of(CustomExposureObjectiveTerm), graphql_name='maximizeExposures') minimize_exposures = sgqlc.types.Field(sgqlc.types.list_of(CustomExposureObjectiveTerm), graphql_name='minimizeExposures') class CustomRiskObjectiveTerm(sgqlc.types.Input): __schema__ = schema factor_risk = sgqlc.types.Field(CustomObjectiveTermWeight, graphql_name='factorRisk') specific_risk = sgqlc.types.Field(CustomObjectiveTermWeight, graphql_name='specificRisk') base = sgqlc.types.Field(sgqlc.types.list_of('PositionSetInput'), graphql_name='base') class DeleteClassificationSecurityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('UniversalIdInput'), graphql_name='id') all = sgqlc.types.Field(Boolean, graphql_name='all') from_ = sgqlc.types.Field(Date, graphql_name='from') to = sgqlc.types.Field(Date, graphql_name='to') class DeleteForecastSecurityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('UniversalIdInput'), graphql_name='id') all = sgqlc.types.Field(Boolean, graphql_name='all') from_ = sgqlc.types.Field(Date, graphql_name='from') to = sgqlc.types.Field(Date, graphql_name='to') class ExposureConstraint(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') content_set_id = sgqlc.types.Field(String, graphql_name='contentSetId') max = sgqlc.types.Field(Float, graphql_name='max') min = sgqlc.types.Field(Float, graphql_name='min') base = sgqlc.types.Field('PositionSetInput', graphql_name='base') min_relative = sgqlc.types.Field(Float, graphql_name='minRelative') max_relative = sgqlc.types.Field(Float, graphql_name='maxRelative') class FactorExposureTarget(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') target = sgqlc.types.Field(Float, graphql_name='target') class ForecastCreate(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') class ForecastEquityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field('PositionSetEquityIdInput', graphql_name='id') annualized_return = sgqlc.types.Field(Float, graphql_name='annualizedReturn') expected_percent_return = sgqlc.types.Field(Float, graphql_name='expectedPercentReturn') class ForecastExpectedReturnInput(sgqlc.types.Input): __schema__ = schema return_ = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='return') horizon = sgqlc.types.Field(Int, graphql_name='horizon') class ForecastInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(ShortId, graphql_name='id') implied_returns = sgqlc.types.Field(ImpliedReturnsType, graphql_name='impliedReturns') horizon = sgqlc.types.Field(Int, graphql_name='horizon') equities = sgqlc.types.Field(sgqlc.types.list_of(ForecastEquityInput), graphql_name='equities') swaps = sgqlc.types.Field(sgqlc.types.list_of('ForecastSwapInput'), graphql_name='swaps') class ForecastSecurityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('UniversalIdInput'), graphql_name='id') label = sgqlc.types.Field(String, graphql_name='label') as_of = sgqlc.types.Field(Date, graphql_name='asOf') expected_return = sgqlc.types.Field(sgqlc.types.non_null(ForecastExpectedReturnInput), graphql_name='expectedReturn') class ForecastSwapInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') expected_percent_return = sgqlc.types.Field(Float, graphql_name='expectedPercentReturn') class ForecastUpdate(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') class MinMax(sgqlc.types.Input): __schema__ = schema min = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='min') max = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='max') class MinMaxConstraintInput(sgqlc.types.Input): __schema__ = schema max = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='max') class MinMaxInput(sgqlc.types.Input): __schema__ = schema min = sgqlc.types.Field(Float, graphql_name='min') max = sgqlc.types.Field(Float, graphql_name='max') class NewExperiment(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='name') type = sgqlc.types.Field(sgqlc.types.non_null(ExperimentType), graphql_name='type') description = sgqlc.types.Field(String, graphql_name='description') class NewPortfolio(sgqlc.types.Input): __schema__ = schema alias = sgqlc.types.Field(String, graphql_name='alias') name = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') default_model_id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='defaultModelId') rollover_position_set_to_current_date = sgqlc.types.Field(Boolean, graphql_name='rolloverPositionSetToCurrentDate') class NewResearchTopic(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') reference_instrument = sgqlc.types.Field(sgqlc.types.non_null('ReferenceInstrumentInput'), graphql_name='referenceInstrument') class NewSwap(sgqlc.types.Input): __schema__ = schema ticker = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='ticker') description = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='description') termination_date = sgqlc.types.Field(Date, graphql_name='terminationDate') class OptimizationCompositionConstraint(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') type = sgqlc.types.Field(sgqlc.types.non_null(CompositionConstraintType), graphql_name='type') classification_id = sgqlc.types.Field(String, graphql_name='classificationId') classification_tier = sgqlc.types.Field(String, graphql_name='classificationTier') max_economic_exposure = sgqlc.types.Field(Float, graphql_name='maxEconomicExposure') min_economic_exposure = sgqlc.types.Field(Float, graphql_name='minEconomicExposure') max_percent_equity = sgqlc.types.Field(Float, graphql_name='maxPercentEquity') min_percent_equity = sgqlc.types.Field(Float, graphql_name='minPercentEquity') max_relative_percent_equity = sgqlc.types.Field(Float, graphql_name='maxRelativePercentEquity') min_relative_percent_equity = sgqlc.types.Field(Float, graphql_name='minRelativePercentEquity') base = sgqlc.types.Field('PositionSetInput', graphql_name='base') class OptimizationConstantsInput(sgqlc.types.Input): __schema__ = schema equity = sgqlc.types.Field(Float, graphql_name='equity') class OptimizationConstraints(sgqlc.types.Input): __schema__ = schema max_turnover = sgqlc.types.Field(Float, graphql_name='maxTurnover') risk = sgqlc.types.Field('RiskConstraintInput', graphql_name='risk') max_liquidation_days = sgqlc.types.Field(Float, graphql_name='maxLiquidationDays') max_concentration = sgqlc.types.Field(Float, graphql_name='maxConcentration') min_concentration = sgqlc.types.Field(Float, graphql_name='minConcentration') exposure = sgqlc.types.Field(sgqlc.types.list_of(ExposureConstraint), graphql_name='exposure') securities = sgqlc.types.Field('SecurityConstraintInput', graphql_name='securities') composition = sgqlc.types.Field(sgqlc.types.list_of(OptimizationCompositionConstraint), graphql_name='composition') min_trade = sgqlc.types.Field(Float, graphql_name='minTrade') max_trade = sgqlc.types.Field('OptimizationMaxTradeConstraint', graphql_name='maxTrade') long_market_value = sgqlc.types.Field(Float, graphql_name='longMarketValue') short_market_value = sgqlc.types.Field(Float, graphql_name='shortMarketValue') min_short_market_value = sgqlc.types.Field(Float, graphql_name='minShortMarketValue') max_short_market_value = sgqlc.types.Field(Float, graphql_name='maxShortMarketValue') min_long_market_value = sgqlc.types.Field(Float, graphql_name='minLongMarketValue') max_long_market_value = sgqlc.types.Field(Float, graphql_name='maxLongMarketValue') gmv = sgqlc.types.Field(Float, graphql_name='GMV') min_gmv = sgqlc.types.Field(Float, graphql_name='minGMV') max_gmv = sgqlc.types.Field(Float, graphql_name='maxGMV') net_exposure = sgqlc.types.Field(Float, graphql_name='netExposure') min_net_exposure = sgqlc.types.Field(Float, graphql_name='minNetExposure') max_net_exposure = sgqlc.types.Field(Float, graphql_name='maxNetExposure') max_positions = sgqlc.types.Field(Int, graphql_name='maxPositions') security_min_trade = sgqlc.types.Field('SecurityMinTradeInput', graphql_name='securityMinTrade') fix_position_set_securities = sgqlc.types.Field(Boolean, graphql_name='fixPositionSetSecurities') trade_swaps = sgqlc.types.Field(Boolean, graphql_name='tradeSwaps') max_market_impact_cost = sgqlc.types.Field(Float, graphql_name='maxMarketImpactCost') beta = sgqlc.types.Field(BetaConstraintInput, graphql_name='beta') class OptimizationConstraintsOptionsInput(sgqlc.types.Input): __schema__ = schema ignore_adv = sgqlc.types.Field(Boolean, graphql_name='ignoreADV') class OptimizationMaxTradeConstraint(sgqlc.types.Input): __schema__ = schema percent_equity = sgqlc.types.Field(Float, graphql_name='percentEquity') percent_adv = sgqlc.types.Field(Float, graphql_name='percentADV') percent_original_economic_exposure = sgqlc.types.Field(Float, graphql_name='percentOriginalEconomicExposure') class OptimizationObjective(sgqlc.types.Input): __schema__ = schema minimize_factor_risk = sgqlc.types.Field(Boolean, graphql_name='minimizeFactorRisk') minimize_total_risk = sgqlc.types.Field(Boolean, graphql_name='minimizeTotalRisk') target_exposures = sgqlc.types.Field(sgqlc.types.list_of('TargetExposure'), graphql_name='targetExposures') target_total_risk = sgqlc.types.Field(Float, graphql_name='targetTotalRisk') target_factor_risk = sgqlc.types.Field(Float, graphql_name='targetFactorRisk') target_positions = sgqlc.types.Field(Float, graphql_name='targetPositions') custom = sgqlc.types.Field(CustomOptimizationObjective, graphql_name='custom') factor_exposure = sgqlc.types.Field(FactorExposureTarget, graphql_name='factorExposure') weight = sgqlc.types.Field(Float, graphql_name='weight') class OptimizationObjectiveOptionsInput(sgqlc.types.Input): __schema__ = schema include_market_impact = sgqlc.types.Field(Boolean, graphql_name='includeMarketImpact') class OptimizationOptionsInput(sgqlc.types.Input): __schema__ = schema objectives = sgqlc.types.Field(OptimizationObjectiveOptionsInput, graphql_name='objectives') constraints = sgqlc.types.Field(OptimizationConstraintsOptionsInput, graphql_name='constraints') equity = sgqlc.types.Field(Float, graphql_name='equity') max_time = sgqlc.types.Field(Float, graphql_name='maxTime') class OptimizationSecuritiesInput(sgqlc.types.Input): __schema__ = schema long = sgqlc.types.Field('SecuritiesInput', graphql_name='long') short = sgqlc.types.Field('SecuritiesInput', graphql_name='short') long_or_short = sgqlc.types.Field('SecuritiesInput', graphql_name='longOrShort') class OptimizationSecuritySearchInput(sgqlc.types.Input): __schema__ = schema filter = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('SecuritySearchFilter'))), graphql_name='filter') sort = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchSort'), graphql_name='sort') take = sgqlc.types.Field(Int, graphql_name='take') class PnlDateInput(sgqlc.types.Input): __schema__ = schema date = sgqlc.types.Field(sgqlc.types.non_null(Date), graphql_name='date') equities = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlEquityInput')), graphql_name='equities') currencies = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlOtherAssetInput')), graphql_name='currencies') swaps = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlOtherAssetInput')), graphql_name='swaps') fixed_income = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlFixedIncomeInput')), graphql_name='fixedIncome') commodities = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlOtherAssetInput')), graphql_name='commodities') indices = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlOtherAssetInput')), graphql_name='indices') other_assets = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PnlOtherAssetInput')), graphql_name='otherAssets') class PnlEquityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('PositionSetEquityIdInput'), graphql_name='id') amount = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='amount') class PnlFixedIncomeInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null('PositionSetFixedIncomeIdInput'), graphql_name='id') amount = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='amount') class PnlOtherAssetInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') amount = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='amount') class PortfolioUpdate(sgqlc.types.Input): __schema__ = schema alias = sgqlc.types.Field(String, graphql_name='alias') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') default_model_id = sgqlc.types.Field(String, graphql_name='defaultModelId') rollover_position_set_to_current_date = sgqlc.types.Field(Boolean, graphql_name='rolloverPositionSetToCurrentDate') class PositionSetDateInput(sgqlc.types.Input): __schema__ = schema date = sgqlc.types.Field(sgqlc.types.non_null(Date), graphql_name='date') equity = sgqlc.types.Field(Float, graphql_name='equity') equities = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetEquityInput')), graphql_name='equities') currencies = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetOtherAssetInput')), graphql_name='currencies') swaps = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetOtherAssetInput')), graphql_name='swaps') fixed_income = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetFixedIncomeInput')), graphql_name='fixedIncome') commodities = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetOtherAssetInput')), graphql_name='commodities') indices = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetOtherAssetInput')), graphql_name='indices') other_assets = sgqlc.types.Field(sgqlc.types.list_of(sgqlc.types.non_null('PositionSetOtherAssetInput')), graphql_name='otherAssets') class PositionSetEquityIdInput(sgqlc.types.Input): __schema__ = schema ticker = sgqlc.types.Field(String, graphql_name='ticker') mic = sgqlc.types.Field(String, graphql_name='mic') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') model_provider_id = sgqlc.types.Field(String, graphql_name='modelProviderId') class PositionSetEquityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(PositionSetEquityIdInput), graphql_name='id') economic_exposure = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='economicExposure') class PositionSetFixedIncomeIdInput(sgqlc.types.Input): __schema__ = schema isin = sgqlc.types.Field(Isin, graphql_name='isin') class PositionSetFixedIncomeInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(PositionSetFixedIncomeIdInput), graphql_name='id') economic_exposure = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='economicExposure') class PositionSetInput(sgqlc.types.Input): __schema__ = schema type = sgqlc.types.Field(PositionSetType, graphql_name='type') id = sgqlc.types.Field(String, graphql_name='id') experiment_id = sgqlc.types.Field(String, graphql_name='experimentId') weight = sgqlc.types.Field(Float, graphql_name='weight') dates = sgqlc.types.Field(sgqlc.types.list_of(PositionSetDateInput), graphql_name='dates') segment = sgqlc.types.Field('Segment', graphql_name='segment') class PositionSetOtherAssetInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') economic_exposure = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='economicExposure') class ReferenceInstrumentInput(sgqlc.types.Input): __schema__ = schema type = sgqlc.types.Field(sgqlc.types.non_null(ReferenceInstrumentType), graphql_name='type') security_id = sgqlc.types.Field(sgqlc.types.non_null('UniversalIdInput'), graphql_name='securityId') class RiskConstraintInput(sgqlc.types.Input): __schema__ = schema total = sgqlc.types.Field(MinMaxConstraintInput, graphql_name='total') factor = sgqlc.types.Field(MinMaxConstraintInput, graphql_name='factor') class SecuritiesEquityInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(PositionSetEquityIdInput, graphql_name='id') class SecuritiesInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') type = sgqlc.types.Field(SecurityListType, graphql_name='type') security_search = sgqlc.types.Field(OptimizationSecuritySearchInput, graphql_name='securitySearch') equities = sgqlc.types.Field(sgqlc.types.list_of(SecuritiesEquityInput), graphql_name='equities') swaps = sgqlc.types.Field(sgqlc.types.list_of('SecuritiesSwapInput'), graphql_name='swaps') class SecuritiesSwapInput(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') class SecurityConstraintInput(sgqlc.types.Input): __schema__ = schema equities = sgqlc.types.Field(sgqlc.types.list_of('SecurityConstraintInputEquity'), graphql_name='equities') swaps = sgqlc.types.Field(sgqlc.types.list_of('SecurityConstraintInputSwap'), graphql_name='swaps') class SecurityConstraintInputEquity(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(PositionSetEquityIdInput, graphql_name='id') min_economic_exposure = sgqlc.types.Field(Float, graphql_name='minEconomicExposure') max_economic_exposure = sgqlc.types.Field(Float, graphql_name='maxEconomicExposure') min_percent_equity = sgqlc.types.Field(Float, graphql_name='minPercentEquity') max_percent_equity = sgqlc.types.Field(Float, graphql_name='maxPercentEquity') class SecurityConstraintInputSwap(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') min_economic_exposure = sgqlc.types.Field(Float, graphql_name='minEconomicExposure') max_economic_exposure = sgqlc.types.Field(Float, graphql_name='maxEconomicExposure') min_percent_equity = sgqlc.types.Field(Float, graphql_name='minPercentEquity') max_percent_equity = sgqlc.types.Field(Float, graphql_name='maxPercentEquity') class SecurityMinTradeInput(sgqlc.types.Input): __schema__ = schema equities = sgqlc.types.Field(sgqlc.types.list_of('SecurityMinTradeInputEquity'), graphql_name='equities') class SecurityMinTradeInputEquity(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(PositionSetEquityIdInput, graphql_name='id') min_trade = sgqlc.types.Field(Float, graphql_name='minTrade') class SecuritySearchFilter(sgqlc.types.Input): __schema__ = schema factor_exposure = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchFilterFactorExposure'), graphql_name='factorExposure') country = sgqlc.types.Field('SecuritySearchFilterString', graphql_name='country') sector = sgqlc.types.Field('SecuritySearchFilterString', graphql_name='sector') classification = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchFilterClassification'), graphql_name='classification') currency = sgqlc.types.Field('SecuritySearchFilterString', graphql_name='currency') asset_class = sgqlc.types.Field('SecuritySearchFilterString', graphql_name='assetClass') asset_subclass = sgqlc.types.Field('SecuritySearchFilterString', graphql_name='assetSubclass') average_daily_volume = sgqlc.types.Field('SecuritySearchFilterFloat', graphql_name='averageDailyVolume') market_capitalization = sgqlc.types.Field('SecuritySearchFilterFloat', graphql_name='marketCapitalization') beta = sgqlc.types.Field('SecuritySearchFilterBeta', graphql_name='beta') universe = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchFilterUniverse'), graphql_name='universe') securities = sgqlc.types.Field('SecuritySearchFilterSecurities', graphql_name='securities') risk = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchFilterRisk'), graphql_name='risk') class SecuritySearchFilterBeta(sgqlc.types.Input): __schema__ = schema predicted = sgqlc.types.Field('SecuritySearchFilterFloat', graphql_name='predicted') historical = sgqlc.types.Field('SecuritySearchFilterFloat', graphql_name='historical') class SecuritySearchFilterClassification(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') in_ = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchFilterClassificationTier'), graphql_name='in') not_in = sgqlc.types.Field(sgqlc.types.list_of('SecuritySearchFilterClassificationTier'), graphql_name='notIn') eq = sgqlc.types.Field('SecuritySearchFilterClassificationTier', graphql_name='eq') neq = sgqlc.types.Field('SecuritySearchFilterClassificationTier', graphql_name='neq') class SecuritySearchFilterClassificationTier(sgqlc.types.Input): __schema__ = schema tier = sgqlc.types.Field(String, graphql_name='tier') value = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='value') class SecuritySearchFilterFactorExposure(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') content_set_id = sgqlc.types.Field(String, graphql_name='contentSetId') gt = sgqlc.types.Field(Float, graphql_name='gt') lt = sgqlc.types.Field(Float, graphql_name='lt') gte = sgqlc.types.Field(Float, graphql_name='gte') lte = sgqlc.types.Field(Float, graphql_name='lte') eq = sgqlc.types.Field(Float, graphql_name='eq') neq = sgqlc.types.Field(Float, graphql_name='neq') between = sgqlc.types.Field(MinMax, graphql_name='between') not_between = sgqlc.types.Field(MinMax, graphql_name='notBetween') class SecuritySearchFilterFloat(sgqlc.types.Input): __schema__ = schema gt = sgqlc.types.Field(Float, graphql_name='gt') lt = sgqlc.types.Field(Float, graphql_name='lt') gte = sgqlc.types.Field(Float, graphql_name='gte') lte = sgqlc.types.Field(Float, graphql_name='lte') eq = sgqlc.types.Field(Float, graphql_name='eq') neq = sgqlc.types.Field(Float, graphql_name='neq') between = sgqlc.types.Field(MinMax, graphql_name='between') not_between = sgqlc.types.Field(MinMax, graphql_name='notBetween') class SecuritySearchFilterRisk(sgqlc.types.Input): __schema__ = schema type = sgqlc.types.Field(sgqlc.types.non_null(RiskType), graphql_name='type') gt = sgqlc.types.Field(Float, graphql_name='gt') lt = sgqlc.types.Field(Float, graphql_name='lt') gte = sgqlc.types.Field(Float, graphql_name='gte') lte = sgqlc.types.Field(Float, graphql_name='lte') eq = sgqlc.types.Field(Float, graphql_name='eq') neq = sgqlc.types.Field(Float, graphql_name='neq') between = sgqlc.types.Field(MinMax, graphql_name='between') not_between = sgqlc.types.Field(MinMax, graphql_name='notBetween') class SecuritySearchFilterSecurities(sgqlc.types.Input): __schema__ = schema in_ = sgqlc.types.Field(sgqlc.types.list_of('UniversalIdInput'), graphql_name='in') not_in = sgqlc.types.Field(sgqlc.types.list_of('UniversalIdInput'), graphql_name='notIn') class SecuritySearchFilterString(sgqlc.types.Input): __schema__ = schema in_ = sgqlc.types.Field(sgqlc.types.list_of(String), graphql_name='in') not_in = sgqlc.types.Field(sgqlc.types.list_of(String), graphql_name='notIn') eq = sgqlc.types.Field(String, graphql_name='eq') neq = sgqlc.types.Field(String, graphql_name='neq') class SecuritySearchFilterUniverse(sgqlc.types.Input): __schema__ = schema type = sgqlc.types.Field(sgqlc.types.non_null(Universe), graphql_name='type') in_ = sgqlc.types.Field(String, graphql_name='in') not_in = sgqlc.types.Field(String, graphql_name='notIn') class SecuritySearchSort(sgqlc.types.Input): __schema__ = schema content_set_id = sgqlc.types.Field(String, graphql_name='contentSetId') factor_exposure_id = sgqlc.types.Field(String, graphql_name='factorExposureId') risk = sgqlc.types.Field(RiskType, graphql_name='risk') beta = sgqlc.types.Field(BetaType, graphql_name='beta') descriptor = sgqlc.types.Field(Descriptor, graphql_name='descriptor') classification = sgqlc.types.Field(ClassificationSort, graphql_name='classification') direction = sgqlc.types.Field(sgqlc.types.non_null(SortDirection), graphql_name='direction') class Segment(sgqlc.types.Input): __schema__ = schema filters = sgqlc.types.Field(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null('SegmentFilter'))), graphql_name='filters') normalization = sgqlc.types.Field(sgqlc.types.non_null(SegmentNormalization), graphql_name='normalization') class SegmentFilter(sgqlc.types.Input): __schema__ = schema long_short = sgqlc.types.Field(SegmentBookFilter, graphql_name='longShort') sector = sgqlc.types.Field(SecuritySearchFilterString, graphql_name='sector') classification = sgqlc.types.Field(sgqlc.types.list_of(SecuritySearchFilterClassification), graphql_name='classification') country = sgqlc.types.Field(SecuritySearchFilterString, graphql_name='country') currency = sgqlc.types.Field(SecuritySearchFilterString, graphql_name='currency') asset_class = sgqlc.types.Field(SecuritySearchFilterString, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(SecuritySearchFilterString, graphql_name='assetSubclass') average_daily_volume = sgqlc.types.Field(SecuritySearchFilterFloat, graphql_name='averageDailyVolume') market_capitalization = sgqlc.types.Field(SecuritySearchFilterFloat, graphql_name='marketCapitalization') class SwapUpdate(sgqlc.types.Input): __schema__ = schema description = sgqlc.types.Field(String, graphql_name='description') termination_date = sgqlc.types.Field(Date, graphql_name='terminationDate') class TargetExposure(sgqlc.types.Input): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') target = sgqlc.types.Field(Float, graphql_name='target') class UniversalIdInput(sgqlc.types.Input): __schema__ = schema sedol = sgqlc.types.Field(String, graphql_name='sedol') isin = sgqlc.types.Field(String, graphql_name='isin') ticker = sgqlc.types.Field(String, graphql_name='ticker') mic = sgqlc.types.Field(String, graphql_name='mic') country = sgqlc.types.Field(String, graphql_name='country') class UpdateExperiment(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') class UpdateResearchTopic(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') class WatchlistSecuritiesInput(sgqlc.types.Input): __schema__ = schema equities = sgqlc.types.Field(sgqlc.types.list_of(PositionSetEquityIdInput), graphql_name='equities') currencies = sgqlc.types.Field(sgqlc.types.list_of(String), graphql_name='currencies') swaps = sgqlc.types.Field(sgqlc.types.list_of(String), graphql_name='swaps') fixed_income = sgqlc.types.Field(sgqlc.types.list_of(PositionSetFixedIncomeIdInput), graphql_name='fixedIncome') commodities = sgqlc.types.Field(sgqlc.types.list_of(String), graphql_name='commodities') indices = sgqlc.types.Field(sgqlc.types.list_of(String), graphql_name='indices') class WatchlistUpdate(sgqlc.types.Input): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') alias = sgqlc.types.Field(String, graphql_name='alias') ######################################################################## # Output Objects and Interfaces ######################################################################## class BenchmarkMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') current_date = sgqlc.types.Field(Date, graphql_name='currentDate') class Beta(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') predicted = sgqlc.types.Field(Float, graphql_name='predicted') historical = sgqlc.types.Field(Float, graphql_name='historical') class BetaContributor(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') sector = sgqlc.types.Field(String, graphql_name='sector') classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) description = sgqlc.types.Field(String, graphql_name='description') percent_equity = sgqlc.types.Field(Float, graphql_name='percentEquity') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') predicted = sgqlc.types.Field(Float, graphql_name='predicted') historical = sgqlc.types.Field(Float, graphql_name='historical') class BetaContributorDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') contributors = sgqlc.types.Field(sgqlc.types.list_of(BetaContributor), graphql_name='contributors') class BetaContributorGroup(sgqlc.types.Type): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') id = sgqlc.types.Field(String, graphql_name='id') total_percent_equity = sgqlc.types.Field(Float, graphql_name='totalPercentEquity') contributors = sgqlc.types.Field(sgqlc.types.list_of(BetaContributor), graphql_name='contributors') predicted = sgqlc.types.Field(Float, graphql_name='predicted') historical = sgqlc.types.Field(Float, graphql_name='historical') class Category(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') factors = sgqlc.types.Field(sgqlc.types.list_of('CategoryFactor'), graphql_name='factors') class CategoryFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') class Classification(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') versions = sgqlc.types.Field(sgqlc.types.list_of('ClassificationVersion'), graphql_name='versions') version = sgqlc.types.Field('ClassificationVersion', graphql_name='version', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) class ClassificationDeleteResult(sgqlc.types.Type): __schema__ = schema count = sgqlc.types.Field(Int, graphql_name='count') class ClassificationDetailsDate(sgqlc.types.Type): __schema__ = schema as_of = sgqlc.types.Field(Date, graphql_name='asOf') securities = sgqlc.types.Field(sgqlc.types.list_of('ClassificationSecurity'), graphql_name='securities') class ClassificationMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') versions = sgqlc.types.Field(sgqlc.types.list_of('ClassificationVersion'), graphql_name='versions') class ClassificationSecurity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('UniversalId', graphql_name='id') as_of = sgqlc.types.Field(Date, graphql_name='asOf') classification = sgqlc.types.Field('ClassificationSecurityValue', graphql_name='classification') class ClassificationSecurityValue(sgqlc.types.Type): __schema__ = schema value = sgqlc.types.Field(String, graphql_name='value') class ClassificationTiers(sgqlc.types.Type): __schema__ = schema level = sgqlc.types.Field(Int, graphql_name='level') id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') class ClassificationUpdateResult(sgqlc.types.Type): __schema__ = schema success_count = sgqlc.types.Field(Int, graphql_name='successCount') unmapped_securities = sgqlc.types.Field(sgqlc.types.list_of(ClassificationSecurity), graphql_name='unmappedSecurities') class ClassificationValue(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') values = sgqlc.types.Field(sgqlc.types.list_of('ClassificationValue'), graphql_name='values') class ClassificationVersion(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') as_of = sgqlc.types.Field(Date, graphql_name='asOf') tiers = sgqlc.types.Field(sgqlc.types.list_of(ClassificationTiers), graphql_name='tiers') values = sgqlc.types.Field(sgqlc.types.list_of(ClassificationValue), graphql_name='values', args=sgqlc.types.ArgDict(( ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) class Composition(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') gmv = sgqlc.types.Field(Float, graphql_name='gmv') modeled_gmv = sgqlc.types.Field(Float, graphql_name='modeledGmv') equity = sgqlc.types.Field(Float, graphql_name='equity') reference_equity = sgqlc.types.Field(Float, graphql_name='referenceEquity') positions_count = sgqlc.types.Field(Int, graphql_name='positionsCount') summary_stats = sgqlc.types.Field('CompositionSummaryStats', graphql_name='summaryStats') concentration = sgqlc.types.Field('CompositionConcentration', graphql_name='concentration') composition_by = sgqlc.types.Field(sgqlc.types.list_of('CompositionGroup'), graphql_name='compositionBy', args=sgqlc.types.ArgDict(( ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) positions = sgqlc.types.Field(sgqlc.types.list_of('CompositionPositions'), graphql_name='positions') class CompositionConcentration(sgqlc.types.Type): __schema__ = schema min = sgqlc.types.Field(Float, graphql_name='min') max = sgqlc.types.Field(Float, graphql_name='max') class CompositionGroup(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') description = sgqlc.types.Field(String, graphql_name='description') percent_equity = sgqlc.types.Field(Float, graphql_name='percentEquity') economic_exposure = sgqlc.types.Field(Float, graphql_name='economicExposure') class CompositionPositions(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') industry_classification = sgqlc.types.Field('SecurityDescriptor', graphql_name='industryClassification', args=sgqlc.types.ArgDict(( ('type', sgqlc.types.Arg(sgqlc.types.non_null(IndustryClassificationType), graphql_name='type', default=None)), )) ) classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) description = sgqlc.types.Field(String, graphql_name='description') economic_exposure = sgqlc.types.Field(Float, graphql_name='economicExposure') average_daily_volume = sgqlc.types.Field(Float, graphql_name='averageDailyVolume') market_cap = sgqlc.types.Field(Float, graphql_name='marketCap') class CompositionSummaryStats(sgqlc.types.Type): __schema__ = schema average = sgqlc.types.Field('CompositionSummaryStatsAverage', graphql_name='average') max = sgqlc.types.Field('CompositionSummaryStatsMax', graphql_name='max') class CompositionSummaryStatsAverage(sgqlc.types.Type): __schema__ = schema market_capitalization = sgqlc.types.Field(Float, graphql_name='marketCapitalization') class CompositionSummaryStatsMax(sgqlc.types.Type): __schema__ = schema days_to_liquidate = sgqlc.types.Field(Float, graphql_name='daysToLiquidate') class ContentSet(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') availability = sgqlc.types.Field('ContentSetAvailability', graphql_name='availability') factors = sgqlc.types.Field(sgqlc.types.list_of('ContentSetFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) categories = sgqlc.types.Field(sgqlc.types.list_of(Category), graphql_name='categories', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) dates = sgqlc.types.Field(sgqlc.types.list_of('ContentSetDate'), graphql_name='dates', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) class ContentSetAvailability(sgqlc.types.Type): __schema__ = schema start_date = sgqlc.types.Field(Date, graphql_name='startDate') current_date = sgqlc.types.Field(Date, graphql_name='currentDate') class ContentSetDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') securities = sgqlc.types.Field(sgqlc.types.list_of('ContentSetDateSecurity'), graphql_name='securities') class ContentSetDateSecurity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('UniversalId', graphql_name='id') factors = sgqlc.types.Field(sgqlc.types.list_of('ContentSetFactorValue'), graphql_name='factors') class ContentSetFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') class ContentSetFactorValue(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') value = sgqlc.types.Field(Float, graphql_name='value') class ContentSetMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') factors = sgqlc.types.Field(sgqlc.types.list_of(ContentSetFactor), graphql_name='factors') categories = sgqlc.types.Field(sgqlc.types.list_of(Category), graphql_name='categories') class Coverage(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') summary = sgqlc.types.Field('CoverageSummary', graphql_name='summary') missing_equities = sgqlc.types.Field(sgqlc.types.list_of('MissingEquity'), graphql_name='missingEquities') missing_currencies = sgqlc.types.Field(sgqlc.types.list_of('MissingOtherAsset'), graphql_name='missingCurrencies') missing_swaps = sgqlc.types.Field(sgqlc.types.list_of('MissingOtherAsset'), graphql_name='missingSwaps') missing_commodities = sgqlc.types.Field(sgqlc.types.list_of('MissingOtherAsset'), graphql_name='missingCommodities') missing_indices = sgqlc.types.Field(sgqlc.types.list_of('MissingOtherAsset'), graphql_name='missingIndices') missing_fixed_income = sgqlc.types.Field(sgqlc.types.list_of('MissingFixedIncome'), graphql_name='missingFixedIncome') missing_other_assets = sgqlc.types.Field(sgqlc.types.list_of('MissingOtherAsset'), graphql_name='missingOtherAssets') class CoverageSummary(sgqlc.types.Type): __schema__ = schema percent_gmv_available = sgqlc.types.Field(Float, graphql_name='percentGmvAvailable') percent_gmv_not_available = sgqlc.types.Field(Float, graphql_name='percentGmvNotAvailable') class DailyPnlDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') amount = sgqlc.types.Field(Float, graphql_name='amount') class DeleteResult(sgqlc.types.Type): __schema__ = schema count = sgqlc.types.Field(Int, graphql_name='count') class Experiment(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') type = sgqlc.types.Field(ExperimentType, graphql_name='type') dates = sgqlc.types.Field(sgqlc.types.list_of('PositionSetDate'), graphql_name='dates', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) last_updated = sgqlc.types.Field(Date, graphql_name='lastUpdated') class ExperimentMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') type = sgqlc.types.Field(ExperimentType, graphql_name='type') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') last_updated = sgqlc.types.Field(Date, graphql_name='lastUpdated') class Exposure(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') factors = sgqlc.types.Field(sgqlc.types.list_of('ExposureFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) class ExposureContributor(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') sector = sgqlc.types.Field(String, graphql_name='sector') classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) description = sgqlc.types.Field(String, graphql_name='description') percent_equity = sgqlc.types.Field(Float, graphql_name='percentEquity') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') factors = sgqlc.types.Field(sgqlc.types.list_of('ExposureContributorFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), )) ) class ExposureContributorDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') contributors = sgqlc.types.Field(sgqlc.types.list_of(ExposureContributor), graphql_name='contributors') class ExposureContributorFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') z_score = sgqlc.types.Field(Float, graphql_name='zScore') security_exposure = sgqlc.types.Field(Float, graphql_name='securityExposure') contribution = sgqlc.types.Field(Float, graphql_name='contribution') gross_contribution = sgqlc.types.Field(Float, graphql_name='grossContribution') net_contribution = sgqlc.types.Field(Float, graphql_name='netContribution') class ExposureContributorGroup(sgqlc.types.Type): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') id = sgqlc.types.Field(String, graphql_name='id') total_percent_equity = sgqlc.types.Field(Float, graphql_name='totalPercentEquity') contributors = sgqlc.types.Field(sgqlc.types.list_of(ExposureContributor), graphql_name='contributors') factors = sgqlc.types.Field(sgqlc.types.list_of('ExposureContributorGroupFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), )) ) class ExposureContributorGroupFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') net_exposure = sgqlc.types.Field(Float, graphql_name='netExposure') gross_contribution = sgqlc.types.Field(Float, graphql_name='grossContribution') net_contribution = sgqlc.types.Field(Float, graphql_name='netContribution') class ExposureFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') net = sgqlc.types.Field(Float, graphql_name='net') long = sgqlc.types.Field(Float, graphql_name='long') short = sgqlc.types.Field(Float, graphql_name='short') class Factor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') performance = sgqlc.types.Field(sgqlc.types.list_of('FactorPerformance'), graphql_name='performance', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('aggregation', sgqlc.types.Arg(Aggregation, graphql_name='aggregation', default=None)), ('interval', sgqlc.types.Arg(Interval, graphql_name='interval', default=None)), )) ) covariance = sgqlc.types.Field('FactorCovariance', graphql_name='covariance', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), )) ) class FactorCovariance(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') factors = sgqlc.types.Field(sgqlc.types.list_of('FactorCovarianceValue'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) class FactorCovarianceValue(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') annualized_percent_squared = sgqlc.types.Field(Float, graphql_name='annualizedPercentSquared') class FactorPerformance(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') percent_price_change1_day = sgqlc.types.Field(Float, graphql_name='percentPriceChange1Day') percent_price_change_cumulative = sgqlc.types.Field(Float, graphql_name='percentPriceChangeCumulative') normalized_return = sgqlc.types.Field(Float, graphql_name='normalizedReturn') class Forecast(sgqlc.types.Type): __schema__ = schema horizon = sgqlc.types.Field(Int, graphql_name='horizon') total = sgqlc.types.Field(Float, graphql_name='total') equities = sgqlc.types.Field(sgqlc.types.list_of('ForecastEquity'), graphql_name='equities') swaps = sgqlc.types.Field(sgqlc.types.list_of('ForecastSwap'), graphql_name='swaps') class ForecastDeleteResult(sgqlc.types.Type): __schema__ = schema count = sgqlc.types.Field(Int, graphql_name='count') class ForecastDetails(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(ShortId, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') dates = sgqlc.types.Field(sgqlc.types.list_of('ForecastDetailsDate'), graphql_name='dates', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) security_dates = sgqlc.types.Field(sgqlc.types.list_of('ForecastSecurity'), graphql_name='securityDates', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(UniversalIdInput), graphql_name='id', default=None)), ('id_date', sgqlc.types.Arg(Date, graphql_name='idDate', default=None)), )) ) class ForecastDetailsDate(sgqlc.types.Type): __schema__ = schema as_of = sgqlc.types.Field(Date, graphql_name='asOf') securities = sgqlc.types.Field(sgqlc.types.list_of('ForecastSecurity'), graphql_name='securities') class ForecastEquity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetEquityId', graphql_name='id') expected_percent_return = sgqlc.types.Field(Float, graphql_name='expectedPercentReturn') class ForecastExpectedReturn(sgqlc.types.Type): __schema__ = schema return_ = sgqlc.types.Field(Float, graphql_name='return') horizon = sgqlc.types.Field(Int, graphql_name='horizon') class ForecastMeta(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(ShortId, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') class ForecastSecurity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('UniversalId', graphql_name='id') label = sgqlc.types.Field(String, graphql_name='label') as_of = sgqlc.types.Field(Date, graphql_name='asOf') expected_return = sgqlc.types.Field(ForecastExpectedReturn, graphql_name='expectedReturn') class ForecastSwap(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') expected_percent_return = sgqlc.types.Field(Float, graphql_name='expectedPercentReturn') class ForecastTypes(sgqlc.types.Type): __schema__ = schema implied_returns = sgqlc.types.Field(Forecast, graphql_name='impliedReturns', args=sgqlc.types.ArgDict(( ('risk_factors', sgqlc.types.Arg(sgqlc.types.non_null(ImpliedReturnsType), graphql_name='riskFactors', default=None)), )) ) custom = sgqlc.types.Field(Forecast, graphql_name='custom', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(ShortId), graphql_name='id', default=None)), )) ) class ForecastUpdateResult(sgqlc.types.Type): __schema__ = schema success_count = sgqlc.types.Field(Int, graphql_name='successCount') unmapped_securities = sgqlc.types.Field(sgqlc.types.list_of(ForecastSecurity), graphql_name='unmappedSecurities') class GroupedBetaContributorDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') grouped_contributors = sgqlc.types.Field(sgqlc.types.list_of(BetaContributorGroup), graphql_name='groupedContributors') class GroupedExposureContributorDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') grouped_contributors = sgqlc.types.Field(sgqlc.types.list_of(ExposureContributorGroup), graphql_name='groupedContributors') class MarketImpact(sgqlc.types.Type): __schema__ = schema cost = sgqlc.types.Field(Float, graphql_name='cost') contributors = sgqlc.types.Field(sgqlc.types.list_of('MarketImpactContributor'), graphql_name='contributors') class MarketImpactContributor(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') industry_classification = sgqlc.types.Field('SecurityDescriptor', graphql_name='industryClassification', args=sgqlc.types.ArgDict(( ('type', sgqlc.types.Arg(sgqlc.types.non_null(IndustryClassificationType), graphql_name='type', default=None)), )) ) classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) cost = sgqlc.types.Field(Float, graphql_name='cost') class MaxDrawdown(sgqlc.types.Type): __schema__ = schema drawdown = sgqlc.types.Field(Float, graphql_name='drawdown') from_ = sgqlc.types.Field(Date, graphql_name='from') to = sgqlc.types.Field(Date, graphql_name='to') days_between = sgqlc.types.Field(Int, graphql_name='daysBetween') class Meta(sgqlc.types.Type): __schema__ = schema points = sgqlc.types.Field('MetaPoints', graphql_name='points') optimization = sgqlc.types.Field('OptimizationMeta', graphql_name='optimization') class MetaPoints(sgqlc.types.Type): __schema__ = schema cost = sgqlc.types.Field(Int, graphql_name='cost') points_left = sgqlc.types.Field(Int, graphql_name='pointsLeft') seconds_to_points_reset = sgqlc.types.Field(Int, graphql_name='secondsToPointsReset') class MissingEquity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetEquityId', graphql_name='id') percent_gmv = sgqlc.types.Field(Float, graphql_name='percentGmv') class MissingFixedIncome(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetFixedIncomeId', graphql_name='id') percent_gmv = sgqlc.types.Field(Float, graphql_name='percentGmv') class MissingOtherAsset(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') percent_gmv = sgqlc.types.Field(Float, graphql_name='percentGmv') class Model(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') availability = sgqlc.types.Field('ModelAvailability', graphql_name='availability') benchmarks = sgqlc.types.Field(sgqlc.types.list_of(BenchmarkMetadata), graphql_name='benchmarks') factors = sgqlc.types.Field(sgqlc.types.list_of(Factor), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) categories = sgqlc.types.Field(sgqlc.types.list_of(Category), graphql_name='categories', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) security = sgqlc.types.Field('Security', graphql_name='security', args=sgqlc.types.ArgDict(( ('ticker', sgqlc.types.Arg(String, graphql_name='ticker', default=None)), ('exchange', sgqlc.types.Arg(String, graphql_name='exchange', default=None)), ('mic', sgqlc.types.Arg(String, graphql_name='mic', default=None)), ('sedol', sgqlc.types.Arg(Sedol, graphql_name='sedol', default=None)), ('isin', sgqlc.types.Arg(Isin, graphql_name='isin', default=None)), ('cusip', sgqlc.types.Arg(Cusip, graphql_name='cusip', default=None)), ('model_provider_id', sgqlc.types.Arg(String, graphql_name='modelProviderId', default=None)), )) ) portfolio = sgqlc.types.Field('ModelPortfolio', graphql_name='portfolio', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) simulation = sgqlc.types.Field('ModelSimulation', graphql_name='simulation', args=sgqlc.types.ArgDict(( ('position_set', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetInput), graphql_name='positionSet', default=None)), ('base', sgqlc.types.Arg(sgqlc.types.list_of(PositionSetInput), graphql_name='base', default=None)), ('from_', sgqlc.types.Arg(Date, graphql_name='from', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) optimization = sgqlc.types.Field('ModelOptimization', graphql_name='optimization', args=sgqlc.types.ArgDict(( ('position_set', sgqlc.types.Arg(PositionSetInput, graphql_name='positionSet', default=None)), ('base', sgqlc.types.Arg(sgqlc.types.list_of(PositionSetInput), graphql_name='base', default=None)), ('on', sgqlc.types.Arg(sgqlc.types.list_of(Date), graphql_name='on', default=None)), ('objective', sgqlc.types.Arg(sgqlc.types.non_null(sgqlc.types.list_of(OptimizationObjective)), graphql_name='objective', default=None)), ('constraints', sgqlc.types.Arg(sgqlc.types.non_null(OptimizationConstraints), graphql_name='constraints', default=None)), ('securities', sgqlc.types.Arg(OptimizationSecuritiesInput, graphql_name='securities', default=None)), ('constants', sgqlc.types.Arg(OptimizationConstantsInput, graphql_name='constants', default=None)), ('options', sgqlc.types.Arg(OptimizationOptionsInput, graphql_name='options', default=None)), ('forecast', sgqlc.types.Arg(ForecastInput, graphql_name='forecast', default=None)), )) ) security_search = sgqlc.types.Field('SecuritySearchResult', graphql_name='securitySearch', args=sgqlc.types.ArgDict(( ('filter', sgqlc.types.Arg(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(SecuritySearchFilter))), graphql_name='filter', default=None)), ('sort', sgqlc.types.Arg(sgqlc.types.list_of(SecuritySearchSort), graphql_name='sort', default=None)), ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), ('take', sgqlc.types.Arg(Int, graphql_name='take', default=None)), ('skip', sgqlc.types.Arg(Int, graphql_name='skip', default=None)), )) ) class ModelAvailability(sgqlc.types.Type): __schema__ = schema current_date = sgqlc.types.Field(Date, graphql_name='currentDate') factors_start_date = sgqlc.types.Field(Date, graphql_name='factorsStartDate') securities_start_date = sgqlc.types.Field(Date, graphql_name='securitiesStartDate') dates = sgqlc.types.Field(sgqlc.types.list_of(Date), graphql_name='dates', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) class ModelMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') short_name = sgqlc.types.Field(String, graphql_name='shortName') availability = sgqlc.types.Field(ModelAvailability, graphql_name='availability') class ModelOptimization(sgqlc.types.Type): __schema__ = schema positions_delta = sgqlc.types.Field(sgqlc.types.list_of('OptimizationPositionsDelta'), graphql_name='positionsDelta') risk = sgqlc.types.Field(sgqlc.types.list_of('Risk'), graphql_name='risk') risk_contributors = sgqlc.types.Field(sgqlc.types.list_of('RiskContributor'), graphql_name='riskContributors', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(Date, graphql_name='on', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) exposure = sgqlc.types.Field(sgqlc.types.list_of(Exposure), graphql_name='exposure', args=sgqlc.types.ArgDict(( ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), )) ) exposure_contributors = sgqlc.types.Field(sgqlc.types.list_of(ExposureContributorDate), graphql_name='exposureContributors', args=sgqlc.types.ArgDict(( ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('active', sgqlc.types.Arg(ActiveContributorType, graphql_name='active', default=None)), )) ) beta = sgqlc.types.Field(sgqlc.types.list_of(Beta), graphql_name='beta') beta_contributors = sgqlc.types.Field(sgqlc.types.list_of(BetaContributorDate), graphql_name='betaContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('active', sgqlc.types.Arg(ActiveContributorType, graphql_name='active', default=None)), )) ) performance = sgqlc.types.Field(sgqlc.types.list_of('Performance'), graphql_name='performance', args=sgqlc.types.ArgDict(( ('aggregation', sgqlc.types.Arg(Aggregation, graphql_name='aggregation', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) positions = sgqlc.types.Field('OptimizedPositionSet', graphql_name='positions', args=sgqlc.types.ArgDict(( ('as_of', sgqlc.types.Arg(Date, graphql_name='asOf', default=None)), )) ) period_performance = sgqlc.types.Field('PeriodPerformance', graphql_name='periodPerformance', args=sgqlc.types.ArgDict(( ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('risk_free_rate', sgqlc.types.Arg(Float, graphql_name='riskFreeRate', default=None)), )) ) correlation = sgqlc.types.Field(Float, graphql_name='correlation', args=sgqlc.types.ArgDict(( ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) composition = sgqlc.types.Field(sgqlc.types.list_of(Composition), graphql_name='composition', args=sgqlc.types.ArgDict(( ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) market_impact = sgqlc.types.Field(MarketImpact, graphql_name='marketImpact', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), )) ) turnover = sgqlc.types.Field('Turnover', graphql_name='turnover', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), )) ) class ModelPortfolio(sgqlc.types.Type): __schema__ = schema coverage = sgqlc.types.Field(sgqlc.types.list_of(Coverage), graphql_name='coverage', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) performance = sgqlc.types.Field(sgqlc.types.list_of('Performance'), graphql_name='performance', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('aggregation', sgqlc.types.Arg(Aggregation, graphql_name='aggregation', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) performance_contributors = sgqlc.types.Field(sgqlc.types.list_of('PerformanceContributor'), graphql_name='performanceContributors', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) grouped_performance_contributors = sgqlc.types.Field(sgqlc.types.list_of('PerformanceContributorGroup'), graphql_name='groupedPerformanceContributors', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) risk = sgqlc.types.Field(sgqlc.types.list_of('Risk'), graphql_name='risk', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) risk_contributors = sgqlc.types.Field(sgqlc.types.list_of('RiskContributor'), graphql_name='riskContributors', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) grouped_risk_contributors = sgqlc.types.Field(sgqlc.types.list_of('RiskContributorGroup'), graphql_name='groupedRiskContributors', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) exposure = sgqlc.types.Field(sgqlc.types.list_of(Exposure), graphql_name='exposure', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), )) ) exposure_contributors = sgqlc.types.Field(sgqlc.types.list_of(ExposureContributorDate), graphql_name='exposureContributors', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), )) ) grouped_exposure_contributors = sgqlc.types.Field(sgqlc.types.list_of(GroupedExposureContributorDate), graphql_name='groupedExposureContributors', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) beta = sgqlc.types.Field(sgqlc.types.list_of(Beta), graphql_name='beta', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) beta_contributors = sgqlc.types.Field(sgqlc.types.list_of(BetaContributorDate), graphql_name='betaContributors', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), )) ) grouped_beta_contributors = sgqlc.types.Field(sgqlc.types.list_of(GroupedBetaContributorDate), graphql_name='groupedBetaContributors', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) forecast = sgqlc.types.Field(ForecastTypes, graphql_name='forecast', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), ('horizon', sgqlc.types.Arg(Int, graphql_name='horizon', default=None)), )) ) period_performance = sgqlc.types.Field('PeriodPerformance', graphql_name='periodPerformance', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('risk_free_rate', sgqlc.types.Arg(Float, graphql_name='riskFreeRate', default=None)), )) ) correlation = sgqlc.types.Field(Float, graphql_name='correlation', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('with_', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetInput), graphql_name='with', default=None)), )) ) composition = sgqlc.types.Field(sgqlc.types.list_of(Composition), graphql_name='composition', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) market_impact = sgqlc.types.Field(MarketImpact, graphql_name='marketImpact', args=sgqlc.types.ArgDict(( ('position_set_delta', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetDateInput), graphql_name='positionSetDelta', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), )) ) class ModelSimulation(sgqlc.types.Type): __schema__ = schema coverage = sgqlc.types.Field(sgqlc.types.list_of(Coverage), graphql_name='coverage') performance = sgqlc.types.Field(sgqlc.types.list_of('Performance'), graphql_name='performance', args=sgqlc.types.ArgDict(( ('aggregation', sgqlc.types.Arg(Aggregation, graphql_name='aggregation', default=None)), )) ) performance_contributors = sgqlc.types.Field(sgqlc.types.list_of('PerformanceContributor'), graphql_name='performanceContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) grouped_performance_contributors = sgqlc.types.Field(sgqlc.types.list_of('PerformanceContributorGroup'), graphql_name='groupedPerformanceContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) risk = sgqlc.types.Field(sgqlc.types.list_of('Risk'), graphql_name='risk') risk_contributors = sgqlc.types.Field(sgqlc.types.list_of('RiskContributor'), graphql_name='riskContributors', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(Date, graphql_name='on', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) grouped_risk_contributors = sgqlc.types.Field(sgqlc.types.list_of('RiskContributorGroup'), graphql_name='groupedRiskContributors', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(Date, graphql_name='on', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) exposure = sgqlc.types.Field(sgqlc.types.list_of(Exposure), graphql_name='exposure', args=sgqlc.types.ArgDict(( ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), )) ) exposure_contributors = sgqlc.types.Field(sgqlc.types.list_of(ExposureContributorDate), graphql_name='exposureContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), ('active', sgqlc.types.Arg(ActiveContributorType, graphql_name='active', default=None)), )) ) grouped_exposure_contributors = sgqlc.types.Field(sgqlc.types.list_of(GroupedExposureContributorDate), graphql_name='groupedExposureContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), ('active', sgqlc.types.Arg(ActiveContributorType, graphql_name='active', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) beta = sgqlc.types.Field(sgqlc.types.list_of(Beta), graphql_name='beta') beta_contributors = sgqlc.types.Field(sgqlc.types.list_of(BetaContributorDate), graphql_name='betaContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('active', sgqlc.types.Arg(ActiveContributorType, graphql_name='active', default=None)), )) ) grouped_beta_contributors = sgqlc.types.Field(sgqlc.types.list_of(GroupedBetaContributorDate), graphql_name='groupedBetaContributors', args=sgqlc.types.ArgDict(( ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('group_by', sgqlc.types.Arg(sgqlc.types.non_null(ContributorGroupType), graphql_name='groupBy', default=None)), ('active', sgqlc.types.Arg(ActiveContributorType, graphql_name='active', default=None)), ('classification_id', sgqlc.types.Arg(String, graphql_name='classificationId', default=None)), ('classification_tier', sgqlc.types.Arg(String, graphql_name='classificationTier', default=None)), )) ) forecast = sgqlc.types.Field(ForecastTypes, graphql_name='forecast', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), ('horizon', sgqlc.types.Arg(Int, graphql_name='horizon', default=None)), )) ) period_performance = sgqlc.types.Field('PeriodPerformance', graphql_name='periodPerformance', args=sgqlc.types.ArgDict(( ('risk_free_rate', sgqlc.types.Arg(Float, graphql_name='riskFreeRate', default=None)), )) ) correlation = sgqlc.types.Field(Float, graphql_name='correlation', args=sgqlc.types.ArgDict(( ('with_', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetInput), graphql_name='with', default=None)), )) ) composition = sgqlc.types.Field(sgqlc.types.list_of(Composition), graphql_name='composition', args=sgqlc.types.ArgDict(( ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), )) ) market_impact = sgqlc.types.Field(MarketImpact, graphql_name='marketImpact', args=sgqlc.types.ArgDict(( ('position_set_delta', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetDateInput), graphql_name='positionSetDelta', default=None)), ('equity_id_format', sgqlc.types.Arg(EquityIdFormat, graphql_name='equityIdFormat', default=None)), ('scale_format', sgqlc.types.Arg(ScaleFormat, graphql_name='scaleFormat', default=None)), )) ) class Mutation(sgqlc.types.Type): __schema__ = schema upload_content_set_date = sgqlc.types.Field('UploadContentSetResult', graphql_name='uploadContentSetDate', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('data', sgqlc.types.Arg(sgqlc.types.non_null(ContentSetDateInput), graphql_name='data', default=None)), )) ) delete_content_set_dates = sgqlc.types.Field(DeleteResult, graphql_name='deleteContentSetDates', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('from_', sgqlc.types.Arg(Date, graphql_name='from', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('all_dates', sgqlc.types.Arg(Boolean, graphql_name='allDates', default=None)), )) ) upload_daily_pnl = sgqlc.types.Field('UploadDailyPnlResult', graphql_name='uploadDailyPnl', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('date', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='date', default=None)), ('amount', sgqlc.types.Arg(sgqlc.types.non_null(Float), graphql_name='amount', default=None)), )) ) delete_daily_pnl = sgqlc.types.Field(DeleteResult, graphql_name='deleteDailyPnl', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('dates', sgqlc.types.Arg(sgqlc.types.list_of(Date), graphql_name='dates', default=None)), ('all_dates', sgqlc.types.Arg(Boolean, graphql_name='allDates', default=None)), )) ) create_experiment = sgqlc.types.Field(Experiment, graphql_name='createExperiment', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(String, graphql_name='portfolioId', default=None)), ('resource_id', sgqlc.types.Arg(String, graphql_name='resourceId', default=None)), ('resource_type', sgqlc.types.Arg(ResourceType, graphql_name='resourceType', default=None)), ('experiment', sgqlc.types.Arg(sgqlc.types.non_null(NewExperiment), graphql_name='experiment', default=None)), )) ) update_experiment = sgqlc.types.Field(Experiment, graphql_name='updateExperiment', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(String, graphql_name='portfolioId', default=None)), ('experiment_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='experimentId', default=None)), ('experiment', sgqlc.types.Arg(sgqlc.types.non_null(UpdateExperiment), graphql_name='experiment', default=None)), )) ) delete_experiment = sgqlc.types.Field('SingleDeleteResult', graphql_name='deleteExperiment', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(String, graphql_name='portfolioId', default=None)), ('experiment_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='experimentId', default=None)), )) ) upload_experiment_date = sgqlc.types.Field('UploadPositionSetResult', graphql_name='uploadExperimentDate', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(String, graphql_name='portfolioId', default=None)), ('experiment_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='experimentId', default=None)), ('data', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetDateInput), graphql_name='data', default=None)), )) ) delete_experiment_dates = sgqlc.types.Field(DeleteResult, graphql_name='deleteExperimentDates', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(String, graphql_name='portfolioId', default=None)), ('experiment_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='experimentId', default=None)), ('from_', sgqlc.types.Arg(Date, graphql_name='from', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('all_dates', sgqlc.types.Arg(Boolean, graphql_name='allDates', default=None)), )) ) create_forecast = sgqlc.types.Field(ForecastMeta, graphql_name='createForecast', args=sgqlc.types.ArgDict(( ('forecast', sgqlc.types.Arg(sgqlc.types.non_null(ForecastCreate), graphql_name='forecast', default=None)), )) ) update_forecast = sgqlc.types.Field(ForecastMeta, graphql_name='updateForecast', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(ShortId), graphql_name='id', default=None)), ('update', sgqlc.types.Arg(sgqlc.types.non_null(ForecastUpdate), graphql_name='update', default=None)), )) ) delete_forecast = sgqlc.types.Field('SingleDeleteResult', graphql_name='deleteForecast', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(ShortId), graphql_name='id', default=None)), )) ) upload_forecast_securities = sgqlc.types.Field(ForecastUpdateResult, graphql_name='uploadForecastSecurities', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(ShortId), graphql_name='id', default=None)), ('values', sgqlc.types.Arg(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(ForecastSecurityInput))), graphql_name='values', default=None)), )) ) delete_forecast_securities = sgqlc.types.Field(ForecastDeleteResult, graphql_name='deleteForecastSecurities', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(ShortId), graphql_name='id', default=None)), ('values', sgqlc.types.Arg(sgqlc.types.non_null(sgqlc.types.list_of(sgqlc.types.non_null(DeleteForecastSecurityInput))), graphql_name='values', default=None)), )) ) upload_pnl_date = sgqlc.types.Field('UploadPnlResult', graphql_name='uploadPnlDate', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('data', sgqlc.types.Arg(sgqlc.types.non_null(PnlDateInput), graphql_name='data', default=None)), )) ) delete_pnl_dates = sgqlc.types.Field(DeleteResult, graphql_name='deletePnlDates', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('from_', sgqlc.types.Arg(Date, graphql_name='from', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('all_dates', sgqlc.types.Arg(Boolean, graphql_name='allDates', default=None)), )) ) update_portfolio = sgqlc.types.Field('Portfolio', graphql_name='updatePortfolio', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('portfolio', sgqlc.types.Arg(sgqlc.types.non_null(PortfolioUpdate), graphql_name='portfolio', default=None)), )) ) create_portfolio = sgqlc.types.Field('Portfolio', graphql_name='createPortfolio', args=sgqlc.types.ArgDict(( ('portfolio', sgqlc.types.Arg(sgqlc.types.non_null(NewPortfolio), graphql_name='portfolio', default=None)), )) ) delete_portfolio = sgqlc.types.Field('SingleDeleteResult', graphql_name='deletePortfolio', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) upload_position_set_date = sgqlc.types.Field('UploadPositionSetResult', graphql_name='uploadPositionSetDate', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('data', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetDateInput), graphql_name='data', default=None)), )) ) delete_position_set_dates = sgqlc.types.Field(DeleteResult, graphql_name='deletePositionSetDates', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('dates', sgqlc.types.Arg(sgqlc.types.list_of(Date), graphql_name='dates', default=None)), ('from_', sgqlc.types.Arg(Date, graphql_name='from', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('all_dates', sgqlc.types.Arg(Boolean, graphql_name='allDates', default=None)), ('delete_related_pnl', sgqlc.types.Arg(Boolean, graphql_name='deleteRelatedPnl', default=None)), )) ) create_research_topic = sgqlc.types.Field('ResearchTopic', graphql_name='createResearchTopic', args=sgqlc.types.ArgDict(( ('research_topic', sgqlc.types.Arg(sgqlc.types.non_null(NewResearchTopic), graphql_name='researchTopic', default=None)), )) ) update_research_topic = sgqlc.types.Field('ResearchTopic', graphql_name='updateResearchTopic', args=sgqlc.types.ArgDict(( ('research_topic_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='researchTopicId', default=None)), ('research_topic', sgqlc.types.Arg(sgqlc.types.non_null(UpdateResearchTopic), graphql_name='researchTopic', default=None)), )) ) delete_research_topic = sgqlc.types.Field('SingleDeleteResult', graphql_name='deleteResearchTopic', args=sgqlc.types.ArgDict(( ('research_topic_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='researchTopicId', default=None)), )) ) create_swap = sgqlc.types.Field('Swap', graphql_name='createSwap', args=sgqlc.types.ArgDict(( ('swap', sgqlc.types.Arg(sgqlc.types.non_null(NewSwap), graphql_name='swap', default=None)), )) ) update_swap = sgqlc.types.Field('Swap', graphql_name='updateSwap', args=sgqlc.types.ArgDict(( ('ticker', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='ticker', default=None)), ('swap', sgqlc.types.Arg(sgqlc.types.non_null(SwapUpdate), graphql_name='swap', default=None)), )) ) delete_swap = sgqlc.types.Field('SingleDeleteResult', graphql_name='deleteSwap', args=sgqlc.types.ArgDict(( ('ticker', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='ticker', default=None)), )) ) upload_swap_date = sgqlc.types.Field('UploadPositionSetResult', graphql_name='uploadSwapDate', args=sgqlc.types.ArgDict(( ('ticker', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='ticker', default=None)), ('data', sgqlc.types.Arg(sgqlc.types.non_null(PositionSetDateInput), graphql_name='data', default=None)), )) ) delete_swap_dates = sgqlc.types.Field(DeleteResult, graphql_name='deleteSwapDates', args=sgqlc.types.ArgDict(( ('ticker', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='ticker', default=None)), ('from_', sgqlc.types.Arg(Date, graphql_name='from', default=None)), ('to', sgqlc.types.Arg(Date, graphql_name='to', default=None)), ('all_dates', sgqlc.types.Arg(Boolean, graphql_name='allDates', default=None)), )) ) create_watchlist = sgqlc.types.Field('WatchlistMeta', graphql_name='createWatchlist', args=sgqlc.types.ArgDict(( ('name', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='name', default=None)), ('description', sgqlc.types.Arg(String, graphql_name='description', default=None)), ('alias', sgqlc.types.Arg(String, graphql_name='alias', default=None)), )) ) delete_watchlist = sgqlc.types.Field('SingleDeleteResult', graphql_name='deleteWatchlist', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) update_watchlist = sgqlc.types.Field('WatchlistMeta', graphql_name='updateWatchlist', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('update', sgqlc.types.Arg(sgqlc.types.non_null(WatchlistUpdate), graphql_name='update', default=None)), )) ) add_watchlist_securities = sgqlc.types.Field('Watchlist', graphql_name='addWatchlistSecurities', args=sgqlc.types.ArgDict(( ('watchlist_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='watchlistId', default=None)), ('securities', sgqlc.types.Arg(sgqlc.types.non_null(WatchlistSecuritiesInput), graphql_name='securities', default=None)), ('as_of', sgqlc.types.Arg(Date, graphql_name='asOf', default=None)), )) ) remove_watchlist_securities = sgqlc.types.Field('Watchlist', graphql_name='removeWatchlistSecurities', args=sgqlc.types.ArgDict(( ('watchlist_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='watchlistId', default=None)), ('securities', sgqlc.types.Arg(sgqlc.types.non_null(WatchlistSecuritiesInput), graphql_name='securities', default=None)), )) ) clear_watchlist_securities = sgqlc.types.Field('Watchlist', graphql_name='clearWatchlistSecurities', args=sgqlc.types.ArgDict(( ('watchlist_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='watchlistId', default=None)), )) ) class OptimizationMeta(sgqlc.types.Type): __schema__ = schema burst_enabled = sgqlc.types.Field(Boolean, graphql_name='burstEnabled') class OptimizationPositionsDelta(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') equities = sgqlc.types.Field(sgqlc.types.list_of('PositionSetEquity'), graphql_name='equities') swaps = sgqlc.types.Field(sgqlc.types.list_of('PositionSetOtherAsset'), graphql_name='swaps') class OptimizedPositionSet(sgqlc.types.Type): __schema__ = schema dates = sgqlc.types.Field(sgqlc.types.list_of('PositionSetDate'), graphql_name='dates') class Performance(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') percent_return_cumulative = sgqlc.types.Field('PerformanceItem', graphql_name='percentReturnCumulative') class PerformanceAttribution(sgqlc.types.Type): __schema__ = schema summary = sgqlc.types.Field('PerformanceAttributionSummary', graphql_name='summary') factors = sgqlc.types.Field(sgqlc.types.list_of('PerformanceAttributionFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) class PerformanceAttributionFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') value = sgqlc.types.Field(Float, graphql_name='value') class PerformanceAttributionSummary(sgqlc.types.Type): __schema__ = schema trading = sgqlc.types.Field(Float, graphql_name='trading') factors = sgqlc.types.Field(Float, graphql_name='factors') specific = sgqlc.types.Field(Float, graphql_name='specific') class PerformanceContributor(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') sector = sgqlc.types.Field(String, graphql_name='sector') classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) description = sgqlc.types.Field(String, graphql_name='description') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') average_percent_equity = sgqlc.types.Field(Float, graphql_name='averagePercentEquity') total = sgqlc.types.Field(Float, graphql_name='total') attribution = sgqlc.types.Field('PerformanceContributorAttribution', graphql_name='attribution') class PerformanceContributorAttribution(sgqlc.types.Type): __schema__ = schema summary = sgqlc.types.Field('PerformanceContributorAttributionSummary', graphql_name='summary') factors = sgqlc.types.Field(sgqlc.types.list_of('PerformanceContributorAttributionFactor'), graphql_name='factors') class PerformanceContributorAttributionFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') value = sgqlc.types.Field(Float, graphql_name='value') class PerformanceContributorAttributionSummary(sgqlc.types.Type): __schema__ = schema factors = sgqlc.types.Field(Float, graphql_name='factors') specific = sgqlc.types.Field(Float, graphql_name='specific') trading = sgqlc.types.Field(Float, graphql_name='trading') class PerformanceContributorGroup(sgqlc.types.Type): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') id = sgqlc.types.Field(String, graphql_name='id') total = sgqlc.types.Field(Float, graphql_name='total') contributors = sgqlc.types.Field(sgqlc.types.list_of(PerformanceContributor), graphql_name='contributors') attribution = sgqlc.types.Field(PerformanceContributorAttribution, graphql_name='attribution') average_percent_equity = sgqlc.types.Field(Float, graphql_name='averagePercentEquity') class PerformanceItem(sgqlc.types.Type): __schema__ = schema total = sgqlc.types.Field(Float, graphql_name='total') attribution = sgqlc.types.Field(PerformanceAttribution, graphql_name='attribution') class PeriodPerformance(sgqlc.types.Type): __schema__ = schema annualized_returns = sgqlc.types.Field(Float, graphql_name='annualizedReturns') annualized_volatility = sgqlc.types.Field(Float, graphql_name='annualizedVolatility') information_ratio = sgqlc.types.Field(Float, graphql_name='informationRatio') sortino_ratio = sgqlc.types.Field(Float, graphql_name='sortinoRatio') max_drawdown = sgqlc.types.Field(MaxDrawdown, graphql_name='maxDrawdown') class PnlDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(sgqlc.types.non_null(Date), graphql_name='date') equities = sgqlc.types.Field(sgqlc.types.list_of('PnlEquity'), graphql_name='equities') currencies = sgqlc.types.Field(sgqlc.types.list_of('PnlOtherAsset'), graphql_name='currencies') swaps = sgqlc.types.Field(sgqlc.types.list_of('PnlOtherAsset'), graphql_name='swaps') fixed_income = sgqlc.types.Field(sgqlc.types.list_of('PnlFixedIncome'), graphql_name='fixedIncome') commodities = sgqlc.types.Field(sgqlc.types.list_of('PnlOtherAsset'), graphql_name='commodities') indices = sgqlc.types.Field(sgqlc.types.list_of('PnlOtherAsset'), graphql_name='indices') other_assets = sgqlc.types.Field(sgqlc.types.list_of('PnlOtherAsset'), graphql_name='otherAssets') class PnlEquity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetEquityId', graphql_name='id') amount = sgqlc.types.Field(Float, graphql_name='amount') class PnlFixedIncome(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetFixedIncomeId', graphql_name='id') amount = sgqlc.types.Field(Float, graphql_name='amount') class PnlOtherAsset(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') amount = sgqlc.types.Field(Float, graphql_name='amount') class Portfolio(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') alias = sgqlc.types.Field(String, graphql_name='alias') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') default_model_id = sgqlc.types.Field(String, graphql_name='defaultModelId') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') dates = sgqlc.types.Field(sgqlc.types.list_of('PositionSetDate'), graphql_name='dates', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('model_id', sgqlc.types.Arg(String, graphql_name='modelId', default=None)), )) ) daily_pnl = sgqlc.types.Field(sgqlc.types.list_of(DailyPnlDate), graphql_name='dailyPnl', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) per_security_pnl = sgqlc.types.Field(sgqlc.types.list_of(PnlDate), graphql_name='perSecurityPnl', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) experiments = sgqlc.types.Field(sgqlc.types.list_of(ExperimentMetadata), graphql_name='experiments', args=sgqlc.types.ArgDict(( ('type', sgqlc.types.Arg(ExperimentType, graphql_name='type', default=None)), )) ) experiment = sgqlc.types.Field(Experiment, graphql_name='experiment', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) rollover_position_set_to_current_date = sgqlc.types.Field(Boolean, graphql_name='rolloverPositionSetToCurrentDate') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') class PortfolioMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') alias = sgqlc.types.Field(String, graphql_name='alias') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') rollover_position_set_to_current_date = sgqlc.types.Field(Boolean, graphql_name='rolloverPositionSetToCurrentDate') model_id = sgqlc.types.Field(String, graphql_name='modelId') default_model_id = sgqlc.types.Field(String, graphql_name='defaultModelId') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') class PositionSetDate(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') equity = sgqlc.types.Field(Float, graphql_name='equity') gmv = sgqlc.types.Field(Float, graphql_name='gmv') long_market_value = sgqlc.types.Field(Float, graphql_name='longMarketValue') short_market_value = sgqlc.types.Field(Float, graphql_name='shortMarketValue') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') equities = sgqlc.types.Field(sgqlc.types.list_of('PositionSetEquity'), graphql_name='equities') currencies = sgqlc.types.Field(sgqlc.types.list_of('PositionSetOtherAsset'), graphql_name='currencies') swaps = sgqlc.types.Field(sgqlc.types.list_of('PositionSetOtherAsset'), graphql_name='swaps') fixed_income = sgqlc.types.Field(sgqlc.types.list_of('PositionSetFixedIncome'), graphql_name='fixedIncome') commodities = sgqlc.types.Field(sgqlc.types.list_of('PositionSetOtherAsset'), graphql_name='commodities') indices = sgqlc.types.Field(sgqlc.types.list_of('PositionSetOtherAsset'), graphql_name='indices') other_assets = sgqlc.types.Field(sgqlc.types.list_of('PositionSetOtherAsset'), graphql_name='otherAssets') class PositionSetEquity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetEquityId', graphql_name='id') economic_exposure = sgqlc.types.Field(Float, graphql_name='economicExposure') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') sector = sgqlc.types.Field(String, graphql_name='sector') classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) trade_as_percent_adv = sgqlc.types.Field(Float, graphql_name='tradeAsPercentADV') class PositionSetEquityId(sgqlc.types.Type): __schema__ = schema ticker = sgqlc.types.Field(String, graphql_name='ticker') mic = sgqlc.types.Field(String, graphql_name='mic') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') model_provider_id = sgqlc.types.Field(String, graphql_name='modelProviderId') class PositionSetFixedIncome(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field('PositionSetFixedIncomeId', graphql_name='id') economic_exposure = sgqlc.types.Field(Float, graphql_name='economicExposure') class PositionSetFixedIncomeId(sgqlc.types.Type): __schema__ = schema isin = sgqlc.types.Field(Isin, graphql_name='isin') class PositionSetOtherAsset(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') economic_exposure = sgqlc.types.Field(Float, graphql_name='economicExposure') class Query(sgqlc.types.Type): __schema__ = schema benchmarks = sgqlc.types.Field(sgqlc.types.list_of(BenchmarkMetadata), graphql_name='benchmarks') classifications = sgqlc.types.Field(sgqlc.types.list_of(ClassificationMetadata), graphql_name='classifications') classification = sgqlc.types.Field(Classification, graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) content_sets = sgqlc.types.Field(sgqlc.types.list_of(ContentSetMetadata), graphql_name='contentSets') content_set = sgqlc.types.Field(ContentSet, graphql_name='contentSet', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) daily_pnl = sgqlc.types.Field(sgqlc.types.list_of(DailyPnlDate), graphql_name='dailyPnl', args=sgqlc.types.ArgDict(( ('portfolio_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='portfolioId', default=None)), ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), )) ) forecasts = sgqlc.types.Field(sgqlc.types.list_of(ForecastMeta), graphql_name='forecasts') forecast = sgqlc.types.Field(ForecastDetails, graphql_name='forecast', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(ShortId), graphql_name='id', default=None)), )) ) meta = sgqlc.types.Field(Meta, graphql_name='meta') model = sgqlc.types.Field(Model, graphql_name='model', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) models = sgqlc.types.Field(sgqlc.types.list_of(ModelMetadata), graphql_name='models') portfolios = sgqlc.types.Field(sgqlc.types.list_of(PortfolioMetadata), graphql_name='portfolios') portfolio = sgqlc.types.Field(Portfolio, graphql_name='portfolio', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) research_topics = sgqlc.types.Field(sgqlc.types.list_of('ResearchTopicMetadata'), graphql_name='researchTopics') research_topic = sgqlc.types.Field('ResearchTopic', graphql_name='researchTopic', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) swaps = sgqlc.types.Field(sgqlc.types.list_of('SwapMetadata'), graphql_name='swaps') swap = sgqlc.types.Field('Swap', graphql_name='swap', args=sgqlc.types.ArgDict(( ('ticker', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='ticker', default=None)), )) ) watchlists = sgqlc.types.Field(sgqlc.types.list_of('WatchlistMeta'), graphql_name='watchlists') watchlist = sgqlc.types.Field('Watchlist', graphql_name='watchlist', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) class ReferenceInstrument(sgqlc.types.Type): __schema__ = schema type = sgqlc.types.Field(ReferenceInstrumentType, graphql_name='type') security_id = sgqlc.types.Field('UniversalId', graphql_name='securityId') class ResearchTopic(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') reference_instrument = sgqlc.types.Field(ReferenceInstrument, graphql_name='referenceInstrument') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') experiments = sgqlc.types.Field(sgqlc.types.list_of(ExperimentMetadata), graphql_name='experiments', args=sgqlc.types.ArgDict(( ('type', sgqlc.types.Arg(ExperimentType, graphql_name='type', default=None)), )) ) experiment = sgqlc.types.Field(Experiment, graphql_name='experiment', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) class ResearchTopicMetadata(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') reference_instrument = sgqlc.types.Field(ReferenceInstrument, graphql_name='referenceInstrument') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') class Risk(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') rolled_over_from = sgqlc.types.Field(Date, graphql_name='rolledOverFrom') total = sgqlc.types.Field(Float, graphql_name='total') attribution = sgqlc.types.Field('RiskAttribution', graphql_name='attribution') class RiskAttribution(sgqlc.types.Type): __schema__ = schema summary = sgqlc.types.Field('RiskAttributionSummary', graphql_name='summary') factors = sgqlc.types.Field(sgqlc.types.list_of('RiskAttributionFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) class RiskAttributionFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') value = sgqlc.types.Field(Float, graphql_name='value') class RiskAttributionSummary(sgqlc.types.Type): __schema__ = schema factors = sgqlc.types.Field(Float, graphql_name='factors') specific = sgqlc.types.Field(Float, graphql_name='specific') class RiskContributor(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') sector = sgqlc.types.Field(String, graphql_name='sector') classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) description = sgqlc.types.Field(String, graphql_name='description') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') percent_equity = sgqlc.types.Field(Float, graphql_name='percentEquity') total = sgqlc.types.Field(Float, graphql_name='total') attribution = sgqlc.types.Field('RiskContributorAttribution', graphql_name='attribution') class RiskContributorAttribution(sgqlc.types.Type): __schema__ = schema summary = sgqlc.types.Field('RiskContributorAttributionSummary', graphql_name='summary') factors = sgqlc.types.Field(sgqlc.types.list_of('RiskContributorAttributionFactor'), graphql_name='factors') class RiskContributorAttributionFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') value = sgqlc.types.Field(Float, graphql_name='value') class RiskContributorAttributionSummary(sgqlc.types.Type): __schema__ = schema factors = sgqlc.types.Field(Float, graphql_name='factors') specific = sgqlc.types.Field(Float, graphql_name='specific') class RiskContributorGroup(sgqlc.types.Type): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') id = sgqlc.types.Field(String, graphql_name='id') total_percent_equity = sgqlc.types.Field(Float, graphql_name='totalPercentEquity') contributors = sgqlc.types.Field(sgqlc.types.list_of(RiskContributor), graphql_name='contributors') attribution = sgqlc.types.Field(RiskContributorAttribution, graphql_name='attribution') class SearchResultFacet(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') count = sgqlc.types.Field(Int, graphql_name='count') class Security(sgqlc.types.Type): __schema__ = schema descriptors = sgqlc.types.Field('SecurityDescriptors', graphql_name='descriptors', args=sgqlc.types.ArgDict(( ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), )) ) classification = sgqlc.types.Field('SecurityClassification', graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('on', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='on', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) availability = sgqlc.types.Field('SecurityAvailability', graphql_name='availability') performance = sgqlc.types.Field(sgqlc.types.list_of('SecurityPerformance'), graphql_name='performance', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('aggregation', sgqlc.types.Arg(Aggregation, graphql_name='aggregation', default=None)), ('interval', sgqlc.types.Arg(Interval, graphql_name='interval', default=None)), )) ) exposure = sgqlc.types.Field(sgqlc.types.list_of('SecurityExposure'), graphql_name='exposure', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(Interval, graphql_name='interval', default=None)), ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), )) ) risk = sgqlc.types.Field(sgqlc.types.list_of('SecurityPredictedRisk'), graphql_name='risk', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(Interval, graphql_name='interval', default=None)), )) ) beta = sgqlc.types.Field(sgqlc.types.list_of('SecurityBeta'), graphql_name='beta', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(Interval, graphql_name='interval', default=None)), )) ) class SecurityAvailability(sgqlc.types.Type): __schema__ = schema from_ = sgqlc.types.Field(Date, graphql_name='from') to = sgqlc.types.Field(Date, graphql_name='to') class SecurityBeta(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') predicted = sgqlc.types.Field(Float, graphql_name='predicted') historical = sgqlc.types.Field(Float, graphql_name='historical') class SecurityClassification(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') class SecurityDescriptor(sgqlc.types.Type): __schema__ = schema code = sgqlc.types.Field(String, graphql_name='code') description = sgqlc.types.Field(String, graphql_name='description') class SecurityDescriptors(sgqlc.types.Type): __schema__ = schema name = sgqlc.types.Field(String, graphql_name='name') ticker = sgqlc.types.Field(String, graphql_name='ticker') mic = sgqlc.types.Field(String, graphql_name='mic') exchange = sgqlc.types.Field(String, graphql_name='exchange') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') sector = sgqlc.types.Field(String, graphql_name='sector') model_provider_id = sgqlc.types.Field(String, graphql_name='modelProviderId') asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') sedol = sgqlc.types.Field(Sedol, graphql_name='sedol') isin = sgqlc.types.Field(Isin, graphql_name='isin') cusip = sgqlc.types.Field(Cusip, graphql_name='cusip') average_daily_volume = sgqlc.types.Field(Float, graphql_name='averageDailyVolume') market_cap = sgqlc.types.Field(Float, graphql_name='marketCap') class SecurityExposure(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') factors = sgqlc.types.Field(sgqlc.types.list_of('SecurityExposureFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), )) ) class SecurityExposureFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') z_score = sgqlc.types.Field(Float, graphql_name='zScore') class SecurityPerformance(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') percent_price_change_cumulative = sgqlc.types.Field('SecurityPerformanceItem', graphql_name='percentPriceChangeCumulative') class SecurityPerformanceAttribution(sgqlc.types.Type): __schema__ = schema summary = sgqlc.types.Field('SecurityPerformanceAttributionSummary', graphql_name='summary') factors = sgqlc.types.Field(sgqlc.types.list_of('SecurityPerformanceAttributionFactor'), graphql_name='factors', args=sgqlc.types.ArgDict(( ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), )) ) class SecurityPerformanceAttributionFactor(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') name = sgqlc.types.Field(String, graphql_name='name') category = sgqlc.types.Field(String, graphql_name='category') value = sgqlc.types.Field(Float, graphql_name='value') class SecurityPerformanceAttributionSummary(sgqlc.types.Type): __schema__ = schema factors = sgqlc.types.Field(Float, graphql_name='factors') specific = sgqlc.types.Field(Float, graphql_name='specific') class SecurityPerformanceItem(sgqlc.types.Type): __schema__ = schema total = sgqlc.types.Field(Float, graphql_name='total') attribution = sgqlc.types.Field(SecurityPerformanceAttribution, graphql_name='attribution') class SecurityPredictedRisk(sgqlc.types.Type): __schema__ = schema date = sgqlc.types.Field(Date, graphql_name='date') total = sgqlc.types.Field(Float, graphql_name='total') attribution = sgqlc.types.Field(RiskAttribution, graphql_name='attribution') class SecurityResult(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') sedol = sgqlc.types.Field(String, graphql_name='sedol') asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') ticker = sgqlc.types.Field(String, graphql_name='ticker') mic = sgqlc.types.Field(String, graphql_name='mic') description = sgqlc.types.Field(String, graphql_name='description') average_daily_volume = sgqlc.types.Field(Float, graphql_name='averageDailyVolume') market_capitalization = sgqlc.types.Field(Float, graphql_name='marketCapitalization') country = sgqlc.types.Field(String, graphql_name='country') sector = sgqlc.types.Field(String, graphql_name='sector') classification = sgqlc.types.Field(SecurityClassification, graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) currency = sgqlc.types.Field(String, graphql_name='currency') model_provider_id = sgqlc.types.Field(String, graphql_name='modelProviderId') factor_exposure = sgqlc.types.Field(sgqlc.types.list_of(SecurityExposureFactor), graphql_name='factorExposure', args=sgqlc.types.ArgDict(( ('content_set_id', sgqlc.types.Arg(String, graphql_name='contentSetId', default=None)), ('id', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='id', default=None)), ('category', sgqlc.types.Arg(sgqlc.types.list_of(String), graphql_name='category', default=None)), )) ) risk = sgqlc.types.Field('SecurityRisk', graphql_name='risk') beta = sgqlc.types.Field('SecurityResultBeta', graphql_name='beta') class SecurityResultBeta(sgqlc.types.Type): __schema__ = schema predicted = sgqlc.types.Field(Float, graphql_name='predicted') historical = sgqlc.types.Field(Float, graphql_name='historical') class SecurityRisk(sgqlc.types.Type): __schema__ = schema standard_deviation = sgqlc.types.Field('SecurityRiskStandardDeviation', graphql_name='standardDeviation') variance_decomposition = sgqlc.types.Field('SecurityRiskVarianceDecomposition', graphql_name='varianceDecomposition') class SecurityRiskStandardDeviation(sgqlc.types.Type): __schema__ = schema total = sgqlc.types.Field(Float, graphql_name='total') class SecurityRiskVarianceDecomposition(sgqlc.types.Type): __schema__ = schema summary = sgqlc.types.Field('SecurityRiskVarianceDecompositionSummary', graphql_name='summary') class SecurityRiskVarianceDecompositionSummary(sgqlc.types.Type): __schema__ = schema specific = sgqlc.types.Field(Float, graphql_name='specific') factors = sgqlc.types.Field(Float, graphql_name='factors') class SecuritySearchResult(sgqlc.types.Type): __schema__ = schema securities = sgqlc.types.Field(sgqlc.types.list_of(SecurityResult), graphql_name='securities') count = sgqlc.types.Field(Int, graphql_name='count') countries = sgqlc.types.Field(sgqlc.types.list_of(SearchResultFacet), graphql_name='countries') currencies = sgqlc.types.Field(sgqlc.types.list_of(SearchResultFacet), graphql_name='currencies') sectors = sgqlc.types.Field(sgqlc.types.list_of(SearchResultFacet), graphql_name='sectors') classification = sgqlc.types.Field(sgqlc.types.list_of(SearchResultFacet), graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), )) ) class SingleDeleteResult(sgqlc.types.Type): __schema__ = schema ok = sgqlc.types.Field(Boolean, graphql_name='ok') class Swap(sgqlc.types.Type): __schema__ = schema ticker = sgqlc.types.Field(String, graphql_name='ticker') description = sgqlc.types.Field(String, graphql_name='description') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') termination_date = sgqlc.types.Field(Date, graphql_name='terminationDate') dates = sgqlc.types.Field(sgqlc.types.list_of(PositionSetDate), graphql_name='dates', args=sgqlc.types.ArgDict(( ('from_', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='from', default=None)), ('to', sgqlc.types.Arg(sgqlc.types.non_null(Date), graphql_name='to', default=None)), ('interval', sgqlc.types.Arg(PositionSetInterval, graphql_name='interval', default=None)), ('model_id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='modelId', default=None)), )) ) last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') class SwapMetadata(sgqlc.types.Type): __schema__ = schema ticker = sgqlc.types.Field(String, graphql_name='ticker') description = sgqlc.types.Field(String, graphql_name='description') available_from = sgqlc.types.Field(Date, graphql_name='availableFrom') termination_date = sgqlc.types.Field(Date, graphql_name='terminationDate') dates = sgqlc.types.Field(sgqlc.types.list_of(Date), graphql_name='dates') last_updated = sgqlc.types.Field(DateTime, graphql_name='lastUpdated') class Turnover(sgqlc.types.Type): __schema__ = schema total = sgqlc.types.Field(Float, graphql_name='total') contributors = sgqlc.types.Field(sgqlc.types.list_of('TurnoverContributor'), graphql_name='contributors') class TurnoverContributor(sgqlc.types.Type): __schema__ = schema asset_class = sgqlc.types.Field(String, graphql_name='assetClass') asset_subclass = sgqlc.types.Field(String, graphql_name='assetSubclass') id = sgqlc.types.Field(String, graphql_name='id') country = sgqlc.types.Field(String, graphql_name='country') currency = sgqlc.types.Field(String, graphql_name='currency') classification = sgqlc.types.Field(SecurityClassification, graphql_name='classification', args=sgqlc.types.ArgDict(( ('id', sgqlc.types.Arg(sgqlc.types.non_null(String), graphql_name='id', default=None)), ('tier', sgqlc.types.Arg(String, graphql_name='tier', default=None)), )) ) value = sgqlc.types.Field(Float, graphql_name='value') class UniversalId(sgqlc.types.Type): __schema__ = schema sedol = sgqlc.types.Field(String, graphql_name='sedol') isin = sgqlc.types.Field(String, graphql_name='isin') ticker = sgqlc.types.Field(String, graphql_name='ticker') mic = sgqlc.types.Field(String, graphql_name='mic') country = sgqlc.types.Field(String, graphql_name='country') class UploadContentSetResult(sgqlc.types.Type): __schema__ = schema ok = sgqlc.types.Field(Boolean, graphql_name='ok') class UploadDailyPnlResult(sgqlc.types.Type): __schema__ = schema ok = sgqlc.types.Field(Boolean, graphql_name='ok') class UploadPnlResult(sgqlc.types.Type): __schema__ = schema ok = sgqlc.types.Field(Boolean, graphql_name='ok') class UploadPositionSetResult(sgqlc.types.Type): __schema__ = schema ok = sgqlc.types.Field(Boolean, graphql_name='ok') coverage = sgqlc.types.Field(Coverage, graphql_name='coverage', args=sgqlc.types.ArgDict(( ('model_id', sgqlc.types.Arg(String, graphql_name='modelId', default=None)), )) ) class Watchlist(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') name = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') alias = sgqlc.types.Field(String, graphql_name='alias') count = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='count') last_updated = sgqlc.types.Field(sgqlc.types.non_null(DateTime), graphql_name='lastUpdated') equities = sgqlc.types.Field(sgqlc.types.list_of('WatchlistEquity'), graphql_name='equities') currencies = sgqlc.types.Field(sgqlc.types.list_of('WatchlistOtherAsset'), graphql_name='currencies') swaps = sgqlc.types.Field(sgqlc.types.list_of('WatchlistOtherAsset'), graphql_name='swaps') fixed_income = sgqlc.types.Field(sgqlc.types.list_of('WatchlistFixedIncome'), graphql_name='fixedIncome') commodities = sgqlc.types.Field(sgqlc.types.list_of('WatchlistOtherAsset'), graphql_name='commodities') indices = sgqlc.types.Field(sgqlc.types.list_of('WatchlistOtherAsset'), graphql_name='indices') class WatchlistEquity(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(PositionSetEquityId, graphql_name='id') added_on = sgqlc.types.Field(Date, graphql_name='addedOn') class WatchlistFixedIncome(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(PositionSetFixedIncomeId, graphql_name='id') added_on = sgqlc.types.Field(Date, graphql_name='addedOn') class WatchlistMeta(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='id') name = sgqlc.types.Field(sgqlc.types.non_null(String), graphql_name='name') description = sgqlc.types.Field(String, graphql_name='description') alias = sgqlc.types.Field(String, graphql_name='alias') count = sgqlc.types.Field(sgqlc.types.non_null(Float), graphql_name='count') last_updated = sgqlc.types.Field(sgqlc.types.non_null(DateTime), graphql_name='lastUpdated') class WatchlistOtherAsset(sgqlc.types.Type): __schema__ = schema id = sgqlc.types.Field(String, graphql_name='id') added_on = sgqlc.types.Field(Date, graphql_name='addedOn') ######################################################################## # Unions ######################################################################## ######################################################################## # Schema Entry Points ######################################################################## schema.query_type = Query schema.mutation_type = Mutation schema.subscription_type = None

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51.539074

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0.000667

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8

05adb478c1ff818385bcb67844d5497a6a59d86c

4,108

py

Python

tests/rules/test_S3CrossAccountTrustRule.py

lpmi-13/cfripper

36bfdc45855112496977806e1a93d98d010399ed

[ "Apache-2.0" ]

null

tests/rules/test_S3CrossAccountTrustRule.py

lpmi-13/cfripper

36bfdc45855112496977806e1a93d98d010399ed

[ "Apache-2.0" ]

null

tests/rules/test_S3CrossAccountTrustRule.py

lpmi-13/cfripper

36bfdc45855112496977806e1a93d98d010399ed

[ "Apache-2.0" ]

null

from pytest import fixture from cfripper.config.config import Config from cfripper.model.enums import RuleGranularity, RuleMode, RuleRisk from cfripper.model.result import Failure from cfripper.rules import S3CrossAccountTrustRule from tests.utils import compare_lists_of_failures, get_cfmodel_from @fixture() def s3_bucket_cross_account(): return get_cfmodel_from("rules/S3CrossAccountTrustRule/s3_bucket_cross_account.json").resolve() @fixture() def s3_bucket_cross_account_from_aws_service(): return get_cfmodel_from("rules/S3CrossAccountTrustRule/s3_bucket_cross_account_from_aws_service.json").resolve() @fixture() def s3_bucket_cross_account_and_normal(): return get_cfmodel_from("rules/S3CrossAccountTrustRule/s3_bucket_cross_account_and_normal.json").resolve() def test_s3_bucket_cross_account(s3_bucket_cross_account): rule = S3CrossAccountTrustRule(Config(aws_account_id="123456789")) result = rule.invoke(s3_bucket_cross_account) assert not result.valid assert compare_lists_of_failures( result.failures, [ Failure( granularity=RuleGranularity.RESOURCE, reason="S3BucketPolicyAccountAccess has forbidden cross-account policy allow with arn:aws:iam::987654321:root for an S3 bucket.", risk_value=RuleRisk.MEDIUM, rule="S3CrossAccountTrustRule", rule_mode=RuleMode.BLOCKING, actions=None, resource_ids={"S3BucketPolicyAccountAccess"}, ) ], ) def test_s3_bucket_cross_account_and_normal(s3_bucket_cross_account_and_normal): rule = S3CrossAccountTrustRule(Config(aws_account_id="123456789")) result = rule.invoke(s3_bucket_cross_account_and_normal) assert not result.valid assert compare_lists_of_failures( result.failures, [ Failure( granularity=RuleGranularity.RESOURCE, reason="S3BucketPolicyAccountAccess has forbidden cross-account policy allow with arn:aws:iam::666555444:root for an S3 bucket.", risk_value=RuleRisk.MEDIUM, rule="S3CrossAccountTrustRule", rule_mode=RuleMode.BLOCKING, actions=None, resource_ids={"S3BucketPolicyAccountAccess"}, ) ], ) def test_s3_bucket_cross_account_and_normal_with_org_aws_account(s3_bucket_cross_account_and_normal): rule = S3CrossAccountTrustRule(Config(aws_account_id="123456789", aws_principals=["666555444"])) result = rule.invoke(s3_bucket_cross_account_and_normal) assert not result.valid assert compare_lists_of_failures( result.failures, [ Failure( granularity=RuleGranularity.RESOURCE, reason="S3BucketPolicyAccountAccess has forbidden cross-account policy allow with arn:aws:iam::666555444:root for an S3 bucket.", risk_value=RuleRisk.MEDIUM, rule="S3CrossAccountTrustRule", rule_mode=RuleMode.BLOCKING, actions=None, resource_ids={"S3BucketPolicyAccountAccess"}, ) ], ) def test_s3_bucket_cross_account_for_current_account(s3_bucket_cross_account): rule = S3CrossAccountTrustRule(Config(aws_account_id="987654321")) result = rule.invoke(s3_bucket_cross_account) assert result.valid assert compare_lists_of_failures(result.failures, []) def test_s3_bucket_cross_account_from_aws_service(s3_bucket_cross_account_from_aws_service): rule = S3CrossAccountTrustRule(Config(aws_account_id="123456789")) result = rule.invoke(s3_bucket_cross_account_from_aws_service) assert result.valid assert compare_lists_of_failures(result.failures, []) def test_rule_supports_filter_config(s3_bucket_cross_account_and_normal, default_allow_all_config): rule = S3CrossAccountTrustRule(default_allow_all_config) result = rule.invoke(s3_bucket_cross_account_and_normal) assert result.valid assert compare_lists_of_failures(result.failures, [])

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37.688073

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0

null

0

1

0

null

0

7

05b4c7ce7bc4de4317288c29ca3169c18f3de527

3,096

py

Python

twrap/weight_init.py

itsnarsi/twrap

cc3128428e37fe0a363e5b18fd7fa0039a963365

[ "MIT" ]

null

twrap/weight_init.py

itsnarsi/twrap

cc3128428e37fe0a363e5b18fd7fa0039a963365

[ "MIT" ]

null

twrap/weight_init.py

itsnarsi/twrap

cc3128428e37fe0a363e5b18fd7fa0039a963365

[ "MIT" ]

null

# @Author: Narsi Reddy <narsi> # @Date: 2018-11-12T14:06:36-06:00 # @Last modified by: narsi # @Last modified time: 2019-01-27T20:55:47-06:00 import numpy as np import torch import torch.nn as nn import torch.nn.init as init ''' https://gist.github.com/jeasinema/ed9236ce743c8efaf30fa2ff732749f5 ''' def weight_init(m): ''' Usage: model = Model() model.apply(weight_init) ''' if isinstance(m, nn.Conv1d): init.normal(m.weight.data) try: init.normal(m.bias.data) except: pass elif isinstance(m, nn.Conv2d): init.xavier_uniform_(m.weight.data , gain=np.sqrt(2)) try: init.constant_(m.bias.data, 0) except: pass elif isinstance(m, nn.Conv3d): init.xavier_uniform_(m.weight.data , gain=np.sqrt(2)) try: init.normal(m.bias.data) except: pass elif isinstance(m, nn.ConvTranspose1d): init.normal(m.weight.data) try: init.normal(m.bias.data) except: pass elif isinstance(m, nn.ConvTranspose2d): init.xavier_uniform_(m.weight.data , gain=np.sqrt(2)) try: init.normal(m.bias.data) except: pass elif isinstance(m, nn.ConvTranspose3d): init.xavier_uniform_(m.weight.data , gain=np.sqrt(2)) try: init.normal(m.bias.data) except: pass elif isinstance(m, nn.BatchNorm1d): init.constant_(m.weight.data, 1) try: init.constant_(m.bias.data, 0) except: pass elif isinstance(m, nn.BatchNorm2d): try: init.constant_(m.weight.data, 1) except: pass try: init.constant_(m.bias.data, 0) except: pass elif isinstance(m, nn.BatchNorm3d): init.constant_(m.weight.data, 1) try: init.constant_(m.bias.data, 0) except: pass elif isinstance(m, nn.Linear): init.xavier_uniform_(m.weight.data , gain=np.sqrt(2)) try: init.constant_(m.bias.data, 0) except: pass elif isinstance(m, nn.LSTM): for param in m.parameters(): if len(param.shape) >= 2: init.orthogonal(param.data) else: init.normal(param.data) elif isinstance(m, nn.LSTMCell): for param in m.parameters(): if len(param.shape) >= 2: init.orthogonal(param.data) else: init.normal(param.data) elif isinstance(m, nn.GRU): for param in m.parameters(): if len(param.shape) >= 2: init.orthogonal(param.data) else: init.normal(param.data) elif isinstance(m, nn.GRUCell): for param in m.parameters(): if len(param.shape) >= 2: init.orthogonal(param.data) else: init.normal(param.data) if __name__ == '__main__': pass

28.145455

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null

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1

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1

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null

0

1

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7

05d6ce801be5db3a01d3c29bb636678e2821bba7

98

py

Python

u24_lymphocyte/third_party/treeano/node_utils.py

ALSM-PhD/quip_classification

7347bfaa5cf11ae2d7a528fbcc43322a12c795d3

[ "BSD-3-Clause" ]

45

2015-04-26T04:45:51.000Z

2022-01-24T15:03:55.000Z

u24_lymphocyte/third_party/treeano/node_utils.py

ALSM-PhD/quip_classification

7347bfaa5cf11ae2d7a528fbcc43322a12c795d3

[ "BSD-3-Clause" ]

8

2018-07-20T20:54:51.000Z

2020-06-12T05:36:04.000Z

u24_lymphocyte/third_party/treeano/node_utils.py

ALSM-PhD/quip_classification

7347bfaa5cf11ae2d7a528fbcc43322a12c795d3

[ "BSD-3-Clause" ]

22

2018-05-21T23:57:20.000Z

2022-02-21T00:48:32.000Z

from . import core def copy_node(node): return core.node_from_data(core.node_to_data(node))

16.333333

55

0.755102

17

98

4.058824

0.529412

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0.142857

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5

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1

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null

0

1

0

1

0

7

05faf70d9ae3464ab3ce8fa6474b6773d08418b0

1,651

py

Python

tests/test_provider_circonus_labs_circonus.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

tests/test_provider_circonus_labs_circonus.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

tests/test_provider_circonus_labs_circonus.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# tests/test_provider_circonus-labs_circonus.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:13:59 UTC) def test_provider_import(): import terrascript.provider.circonus_labs.circonus def test_resource_import(): from terrascript.resource.circonus_labs.circonus import circonus_check from terrascript.resource.circonus_labs.circonus import circonus_contact_group from terrascript.resource.circonus_labs.circonus import circonus_dashboard from terrascript.resource.circonus_labs.circonus import circonus_graph from terrascript.resource.circonus_labs.circonus import circonus_maintenance from terrascript.resource.circonus_labs.circonus import circonus_metric from terrascript.resource.circonus_labs.circonus import circonus_overlay_set from terrascript.resource.circonus_labs.circonus import circonus_rule_set from terrascript.resource.circonus_labs.circonus import circonus_rule_set_group from terrascript.resource.circonus_labs.circonus import circonus_worksheet def test_datasource_import(): from terrascript.data.circonus_labs.circonus import circonus_account from terrascript.data.circonus_labs.circonus import circonus_collector # TODO: Shortcut imports without namespace for official and supported providers. # TODO: This has to be moved into a required_providers block. # def test_version_source(): # # import terrascript.provider.circonus_labs.circonus # # t = terrascript.provider.circonus_labs.circonus.circonus() # s = str(t) # # assert 'https://github.com/circonus-labs/terraform-provider-circonus' in s # assert '0.12.2' in s

33.693878

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1,651

6.167464

0.339713

0.158262

0.248254

0.242048

0.645462

0.615206

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0.197828

0.101629

0

0.011111

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1,651

48

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34.395833

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1

0

1

0

1

0

1

0

7

af339e145a8017a065e66456a0736a7ad0a5cd35

5,254

py

Python

PackGrid/Pack_AmmBeen.py

whitegreen/PackingDone

b7f1d2966f1d62a052ca9c96ce70b314d694c9f1

[ "MIT" ]

null

PackGrid/Pack_AmmBeen.py

whitegreen/PackingDone

b7f1d2966f1d62a052ca9c96ce70b314d694c9f1

[ "MIT" ]

null

PackGrid/Pack_AmmBeen.py

whitegreen/PackingDone

b7f1d2966f1d62a052ca9c96ce70b314d694c9f1

[ "MIT" ]

null

import IPGrid DM=4 P = [(-2, -2, -2, 0), (-2, -2, -1, 0), (-2, -2, -1, 1), (-2, -2, 0, 1), (-2, -2, 0, 2), (-2, -1, -1, 1), (-2, -1, 0, 1), (-2, -1, 0, 2), (-2, -1, 1, 1), (-2, -1, 1, 2), (-2, 0, 1, 2), (-2, 0, 2, 2), (-1, -2, -2, -1), (-1, -2, -2, 0), (-1, -2, -1, -1), (-1, -2, -1, 0), (-1, -2, -1, 1), (-1, -1, -2, -1), (-1, -1, -1, -1), (-1, -1, -1, 0), (-1, -1, -1, 1), (-1, -1, 0, 0), (-1, -1, 0, 1), (-1, -1, 1, 1), (-1, -1, 1, 2), (-1, 0, 0, 0), (-1, 0, 0, 1), (-1, 0, 1, 1), (-1, 0, 1, 2), (-1, 0, 2, 2), (-1, 1, 1, 1), (-1, 1, 1, 2), (-1, 1, 2, 1), (-1, 1, 2, 2), (0, -2, -2, -2), (0, -2, -2, -1), (0, -1, -2, -2), (0, -1, -2, -1), (0, -1, -1, -1), (0, -1, -1, 0), (0, -1, 0, 0), (0, 0, -1, -1), (0, 0, -1, 0), (0, 0, 0, -1), (0, 0, 0, 0), (0, 0, 0, 1), (0, 0, 1, 0), (0, 0, 1, 1), (0, 1, 0, 0), (0, 1, 1, 0), (0, 1, 1, 1), (0, 1, 2, 1), (0, 1, 2, 2), (0, 2, 2, 1), (0, 2, 2, 2), (1, -1, -2, -2), (1, -1, -2, -1), (1, -1, -1, -2), (1, -1, -1, -1), (1, 0, -2, -2), (1, 0, -1, -2), (1, 0, -1, -1), (1, 0, 0, -1), (1, 0, 0, 0), (1, 1, -1, -2), (1, 1, -1, -1), (1, 1, 0, -1), (1, 1, 0, 0), (1, 1, 1, -1), (1, 1, 1, 0), (1, 1, 1, 1), (1, 1, 2, 1), (1, 2, 1, -1), (1, 2, 1, 0), (1, 2, 1, 1), (1, 2, 2, 0), (1, 2, 2, 1), (2, 0, -2, -2), (2, 0, -1, -2), (2, 1, -1, -2), (2, 1, -1, -1), (2, 1, 0, -2), (2, 1, 0, -1), (2, 1, 1, -1), (2, 2, 0, -2), (2, 2, 0, -1), (2, 2, 1, -1), (2, 2, 1, 0), (2, 2, 2, 0)] assert ( 89 == len(P)) # en=5 '''P = [(-3, -3, -2, 0), (-3, -3, -2, 1), (-3, -3, -1, 1), (-3, -3, -1, 2), (-3, -3, 0, 2), (-3, -2, -1, 1), (-3, -2, -1, 2), (-3, -2, 0, 1), (-3, -2, 0, 2), (-3, -2, 0, 3), (-3, -2, 1, 2), (-3, -2, 1, 3), (-3, -1, 0, 2), (-3, -1, 1, 2), (-3, -1, 1, 3), (-3, -1, 2, 3), (-3, 0, 2, 3), (-2, -3, -3, -1), (-2, -3, -3, 0), (-2, -3, -2, -1), (-2, -3, -2, 0), (-2, -3, -2, 1), (-2, -3, -1, 0), (-2, -3, -1, 1), (-2, -2, -2, 0), (-2, -2, -1, 0), (-2, -2, -1, 1), (-2, -2, 0, 1), (-2, -2, 0, 2), (-2, -1, -1, 1), (-2, -1, 0, 1), (-2, -1, 0, 2), (-2, -1, 1, 1), (-2, -1, 1, 2), (-2, -1, 1, 3), (-2, -1, 2, 3), (-2, 0, 1, 2), (-2, 0, 1, 3), (-2, 0, 2, 2), (-2, 0, 2, 3), (-2, 0, 3, 3), (-2, 1, 2, 3), (-2, 1, 3, 3), (-1, -3, -3, -2), (-1, -3, -3, -1), (-1, -3, -2, -1), (-1, -3, -2, 0), (-1, -2, -3, -2), (-1, -2, -3, -1), (-1, -2, -2, -1), (-1, -2, -2, 0), (-1, -2, -1, -1), (-1, -2, -1, 0), (-1, -2, -1, 1), (-1, -1, -2, -1), (-1, -1, -1, -1), (-1, -1, -1, 0), (-1, -1, -1, 1), (-1, -1, 0, 0), (-1, -1, 0, 1), (-1, -1, 1, 1), (-1, -1, 1, 2), (-1, 0, 0, 0), (-1, 0, 0, 1), (-1, 0, 1, 1), (-1, 0, 1, 2), (-1, 0, 2, 2), (-1, 0, 2, 3), (-1, 1, 1, 1), (-1, 1, 1, 2), (-1, 1, 2, 1), (-1, 1, 2, 2), (-1, 1, 2, 3), (-1, 1, 3, 2), (-1, 1, 3, 3), (-1, 2, 3, 2), (-1, 2, 3, 3), (0, -3, -3, -2), (0, -2, -3, -3), (0, -2, -3, -2), (0, -2, -3, -1), (0, -2, -2, -2), (0, -2, -2, -1), (0, -1, -3, -2), (0, -1, -2, -2), (0, -1, -2, -1), (0, -1, -1, -1), (0, -1, -1, 0), (0, -1, 0, 0), (0, 0, -1, -1), (0, 0, -1, 0), (0, 0, 0, -1), (0, 0, 0, 0), (0, 0, 0, 1), (0, 0, 1, 0), (0, 0, 1, 1), (0, 1, 0, 0), (0, 1, 1, 0), (0, 1, 1, 1), (0, 1, 2, 1), (0, 1, 2, 2), (0, 1, 3, 2), (0, 2, 2, 1), (0, 2, 2, 2), (0, 2, 3, 1), (0, 2, 3, 2), (0, 2, 3, 3), (0, 3, 3, 2), (1, -2, -3, -3), (1, -2, -3, -2), (1, -1, -3, -3), (1, -1, -3, -2), (1, -1, -2, -3), (1, -1, -2, -2), (1, -1, -2, -1), (1, -1, -1, -2), (1, -1, -1, -1), (1, 0, -2, -3), (1, 0, -2, -2), (1, 0, -1, -2), (1, 0, -1, -1), (1, 0, 0, -1), (1, 0, 0, 0), (1, 1, -1, -2), (1, 1, -1, -1), (1, 1, 0, -1), (1, 1, 0, 0), (1, 1, 1, -1), (1, 1, 1, 0), (1, 1, 1, 1), (1, 1, 2, 1), (1, 2, 1, -1), (1, 2, 1, 0), (1, 2, 1, 1), (1, 2, 2, 0), (1, 2, 2, 1), (1, 2, 3, 1), (1, 2, 3, 2), (1, 3, 2, 0), (1, 3, 2, 1), (1, 3, 3, 1), (1, 3, 3, 2), (2, -1, -3, -3), (2, -1, -2, -3), (2, 0, -3, -3), (2, 0, -2, -3), (2, 0, -2, -2), (2, 0, -1, -3), (2, 0, -1, -2), (2, 1, -2, -3), (2, 1, -1, -3), (2, 1, -1, -2), (2, 1, -1, -1), (2, 1, 0, -2), (2, 1, 0, -1), (2, 1, 1, -1), (2, 2, 0, -2), (2, 2, 0, -1), (2, 2, 1, -1), (2, 2, 1, 0), (2, 2, 2, 0), (2, 3, 1, -1), (2, 3, 1, 0), (2, 3, 2, -1), (2, 3, 2, 0), (2, 3, 2, 1), (2, 3, 3, 0), (2, 3, 3, 1), (3, 0, -2, -3), (3, 1, -2, -3), (3, 1, -1, -3), (3, 1, -1, -2), (3, 1, 0, -2), (3, 2, -1, -3), (3, 2, -1, -2), (3, 2, 0, -3), (3, 2, 0, -2), (3, 2, 0, -1), (3, 2, 1, -2), (3, 2, 1, -1), (3, 3, 0, -2), (3, 3, 1, -2), (3, 3, 1, -1), (3, 3, 2, -1), (3, 3, 2, 0)] assert ( 185 == len(P)) # en=7 ''' # ************************************************************************************ K = 4+12 templates = [] templates.append([(-1, 0, 0, 0), (0, 0, 0, 0), (1, 0, 0, 0)]) templates.append([(0, -1, 0, 0), (0, 0, 0, 0), (0, 1, 0, 0)]) templates.append([(0, 0, -1, 0), (0, 0, 0, 0), (0, 0, 1, 0)]) templates.append([(0, 0, 0, -1), (0, 0, 0, 0), (0, 0, 0, 1)]) for i in range(4): for j in range(3): templates.append([templates[i][0], (0, 0, 0, 0), templates[(i + j+1) % 4][2]]) assert (K == len(templates)) rangeType = [[1, 30] for k in range(K)] IPGrid.optimize(P, None, templates, rangeType) # the same results by Java: testPack/PackAmmBeen.java

87.566667

120

0.277122

1,225

5,254

1.188571

0.029388

0.29533

0.226648

0.17033

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0.784341

0.778846

0.739011

0.697115

0.659341

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0.306723

0.275219

5,254

60

121

87.566667

0.07563

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1

0

1

0

1

0

1

0

null

0

11

af3ef5328db70165281714feca8853de4e3aedbe

287

py

Python

OOP-Inheritance/person.py

bekzodbuyukov/Python

bafd81f5074672db4ea989c447c7fd2a4578d964

[ "MIT" ]

null

OOP-Inheritance/person.py

bekzodbuyukov/Python

bafd81f5074672db4ea989c447c7fd2a4578d964

[ "MIT" ]

null

OOP-Inheritance/person.py

bekzodbuyukov/Python

bafd81f5074672db4ea989c447c7fd2a4578d964

[ "MIT" ]

null

class Person: def __init__(self, first_name: str, last_name: str, age: int) -> None: self.first_name = first_name self.last_name = last_name self.age = age def __repr__(self) -> str: return f"{self.first_name} {self.last_name}, {self.age} y.o."

28.7

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1

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null

0

1

0

1

0

7

a5b138403103c4e87f2d548cbcae0ceb41d9a400

82,357

py

Python

SBMLDiagrams/editSBML.py

SunnyXu/SBMLDiagrams

a7a9dccf42f544d6f48bc097d4dc7ebf5f4e2d41

[ "MIT" ]

null

SBMLDiagrams/editSBML.py

SunnyXu/SBMLDiagrams

a7a9dccf42f544d6f48bc097d4dc7ebf5f4e2d41

[ "MIT" ]

50

2021-12-03T22:43:18.000Z

2022-03-30T22:15:09.000Z

SBMLDiagrams/editSBML.py

sys-bio/SBMLDiagrams

ff951ff987fadf61a25d239966134e7bbfa1ff1a

[ "MIT" ]

2

2022-01-30T00:47:44.000Z

2022-03-03T01:13:24.000Z

# -*- coding: utf-8 -*- # This script was written by Jin Xu and available on Github # https://github.com/SunnyXu/SBMLDiagrams """ Created on Mon Aug 23 13:25:34 2021 @author: Jin Xu """ #from numpy.core.fromnumeric import shape import pandas as pd import os from SBMLDiagrams import processSBML from SBMLDiagrams import point color_data = {"decimal_rgb": ['[240,248,255]', '[250,235,215]', '[0,255,255]', '[127,255,212]', '[240,255,255]', '[245,245,220]', '[255,228,196]', '[0,0,0]', '[255,235,205]', '[0,0,255]', '[138,43,226]', '[165,42,42]', '[222,184,135]', '[95,158,160]', '[127,255,0]', '[210,105,30]', '[255,127,80]', '[100,149,237]', '[255,248,220]', '[220,20,60]', '[0,255,255]', '[0,0,139]', '[0,139,139]', '[184,134,11]', '[169,169,169]', '[0,100,0]', '[189,183,107]', '[139,0,139]', '[85,107,47]', '[255,140,0]', '[153,50,204]', '[139,0,0]', '[233,150,122]', '[143,188,143]', '[72,61,139]', '[47,79,79]', '[0,206,209]', '[148,0,211]', '[255,20,147]', '[0,191,255]', '[105,105,105]', '[30,144,255]', '[178,34,34]', '[255,250,240]', '[34,139,34]', '[255,0,255]', '[220,220,220]', '[248,248,255]', '[255,215,0]', '[218,165,32]', '[128,128,128]', '[0,128,0]', '[173,255,47]', '[240,255,240]', '[255,105,180]', '[205,92,92]', '[75,0,130]', '[255,255,240]', '[240,230,140]', '[230,230,250]', '[255,240,245]', '[124,252,0]', '[255,250,205]', '[173,216,230]', '[240,128,128]', '[224,255,255]', '[250,250,210]', '[144,238,144]', '[211,211,211]', '[255,182,193]', '[255,160,122]', '[32,178,170]', '[135,206,250]', '[119,136,153]', '[176,196,222]', '[255,255,224]', '[0,255,0]', '[50,205,50]', '[250,240,230]', '[255,0,255]', '[128,0,0]', '[102,205,170]', '[0,0,205]', '[186,85,211]', '[147,112,219]', '[60,179,113]', '[123,104,238]', '[0,250,154]', '[72,209,204]', '[199,21,133]', '[25,25,112]', '[245,255,250]', '[255,228,225]', '[255,228,181]', '[255,222,173]', '[0,0,128]', '[253,245,230]', '[128,128,0]', '[107,142,35]', '[255,165,0]', '[255,69,0]', '[218,112,214]', '[238,232,170]', '[152,251,152]', '[175,238,238]', '[219,112,147]', '[255,239,213]', '[255,218,185]', '[205,133,63]', '[255,192,203]', '[221,160,221]', '[176,224,230]', '[128,0,128]', '[255,0,0]', '[188,143,143]', '[65,105,225]', '[139,69,19]', '[250,128,114]', '[244,164,96]', '[46,139,87]', '[255,245,238]', '[160,82,45]', '[192,192,192]', '[135,206,235]', '[106,90,205]', '[112,128,144]', '[255,250,250]', '[0,255,127]', '[70,130,180]', '[210,180,140]', '[0,128,128]', '[216,191,216]', '[255,99,71]', '[64,224,208]', '[238,130,238]', '[245,222,179]', '[255,255,255]', '[245,245,245]', '[255,255,0]', '[154,205,50]'],\ "html_name":['AliceBlue', 'AntiqueWhite', 'Aqua', 'Aquamarine', 'Azure', 'Beige', 'Bisque', 'Black', 'BlanchedAlmond', 'Blue', 'BlueViolet', 'Brown', 'BurlyWood', 'CadetBlue', 'Chartreuse', 'Chocolate', 'Coral', 'CornflowerBlue', 'Cornsilk', 'Crimson', 'Cyan', 'DarkBlue', 'DarkCyan', 'DarkGoldenrod', 'DarkGray', 'DarkGreen', 'DarkKhaki', 'DarkMagenta', 'DarkOliveGreen', 'DarkOrange', 'DarkOrchid', 'DarkRed', 'DarkSalmon', 'DarkSeaGreen', 'DarkSlateBlue', 'DarkSlateGray', 'DarkTurquoise', 'DarkViolet', 'DeepPink', 'DeepSkyBlue', 'DimGray', 'DodgerBlue', 'FireBrick', 'FloralWhite', 'ForestGreen', 'Fuchsia', 'Gainsboro', 'GhostWhite', 'Gold', 'Goldenrod', 'Gray', 'Green', 'GreenYellow', 'Honeydew', 'HotPink', 'IndianRed', 'Indigo', 'Ivory', 'Khaki', 'Lavender', 'LavenderBlush', 'LawnGreen', 'LemonChiffon', 'LightBlue', 'LightCoral', 'LightCyan', 'LightGoldenrodYellow', 'LightGreen', 'LightGrey', 'LightPink', 'LightSalmon', 'LightSeaGreen', 'LightSkyBlue', 'LightSlateGray', 'LightSteelBlue', 'LightYellow', 'Lime', 'LimeGreen', 'Linen', 'Magenta', 'Maroon', 'MediumAquamarine', 'MediumBlue', 'MediumOrchid', 'MediumPurple', 'MediumSeaGreen', 'MediumSlateBlue', 'MediumSpringGreen', 'MediumTurquoise', 'MediumVioletRed', 'MidnightBlue', 'MintCream', 'MistyRose', 'Moccasin', 'NavajoWhite', 'Navy', 'OldLace', 'Olive', 'OliveDrab', 'Orange', 'OrangeRed', 'Orchid', 'PaleGoldenrod', 'PaleGreen', 'PaleTurquoise', 'PaleVioletRed', 'PapayaWhip', 'PeachPuff', 'Peru', 'Pink', 'Plum', 'PowderBlue', 'Purple', 'Red', 'RosyBrown', 'RoyalBlue', 'SaddleBrown', 'Salmon', 'SandyBrown', 'SeaGreen', 'Seashell', 'Sienna', 'Silver', 'SkyBlue', 'SlateBlue', 'SlateGray', 'Snow', 'SpringGreen', 'SteelBlue', 'Tan', 'Teal', 'Thistle', 'Tomato', 'Turquoise', 'Violet', 'Wheat', 'White', 'WhiteSmoke', 'Yellow', 'YellowGreen'],\ "hex_string":['#F0F8FF', '#FAEBD7', '#00FFFF', '#7FFFD4', '#F0FFFF', '#F5F5DC', '#FFE4C4', '#000000', '#FFEBCD', '#0000FF', '#8A2BE2', '#A52A2A', '#DEB887', '#5F9EA0', '#7FFF00', '#D2691E', '#FF7F50', '#6495ED', '#FFF8DC', '#DC143C', '#00FFFF', '#00008B', '#008B8B', '#B8860B', '#A9A9A9', '#006400', '#BDB76B', '#8B008B', '#556B2F', '#FF8C00', '#9932CC', '#8B0000', '#E9967A', '#8FBC8F', '#483D8B', '#2F4F4F', '#00CED1', '#9400D3', '#FF1493', '#00BFFF', '#696969', '#1E90FF', '#B22222', '#FFFAF0', '#228B22', '#FF00FF', '#DCDCDC', '#F8F8FF', '#FFD700', '#DAA520', '#808080', '#008000', '#ADFF2F', '#F0FFF0', '#FF69B4', '#CD5C5C', '#4B0082', '#FFFFF0', '#F0E68C', '#E6E6FA', '#FFF0F5', '#7CFC00', '#FFFACD', '#ADD8E6', '#F08080', '#E0FFFF', '#FAFAD2', '#90EE90', '#D3D3D3', '#FFB6C1', '#FFA07A', '#20B2AA', '#87CEFA', '#778899', '#B0C4DE', '#FFFFE0', '#00FF00', '#32CD32', '#FAF0E6', '#FF00FF', '#800000', '#66CDAA', '#0000CD', '#BA55D3', '#9370DB', '#3CB371', '#7B68EE', '#00FA9A', '#48D1CC', '#C71585', '#191970', '#F5FFFA', '#FFE4E1', '#FFE4B5', '#FFDEAD', '#000080', '#FDF5E6', '#808000', '#6B8E23', '#FFA500', '#FF4500', '#DA70D6', '#EEE8AA', '#98FB98', '#AFEEEE', '#DB7093', '#FFEFD5', '#FFDAB9', '#CD853F', '#FFC0CB', '#DDA0DD', '#B0E0E6', '#800080', '#FF0000', '#BC8F8F', '#4169E1', '#8B4513', '#FA8072', '#F4A460', '#2E8B57', '#FFF5EE', '#A0522D', '#C0C0C0', '#87CEEB', '#6A5ACD', '#708090', '#FFFAFA', '#00FF7F', '#4682B4', '#D2B48C', '#008080', '#D8BFD8', '#FF6347', '#40E0D0', '#EE82EE', '#F5DEB3', '#FFFFFF', '#F5F5F5', '#FFFF00', '#9ACD32']} df_color = pd.DataFrame(color_data) #DIR = os.path.dirname(os.path.abspath(__file__)) #df_color = pd.read_csv(os.path.join(DIR, 'colors.txt'), sep="\t") df_color["html_name"] = df_color["html_name"].str.lower() def _color_to_rgb(color, opacity): def _hex_to_rgb(value): value = value.lstrip('#') return [int(value[i:i+2], 16) for i in (0, 2, 4)] #rgba rgb = [] if isinstance(color, list) and len(color) == 3: rgb = color.copy() elif isinstance(color, str): if '#' in color and len(color) == 7: #hex_string rgb = _hex_to_rgb(color) else: #html_name if color.lower() in df_color.values: index = df_color.index[df_color["html_name"] == color.lower()].tolist()[0] #row index rgb_pre = df_color.iloc[index]["decimal_rgb"] rgb_pre = rgb_pre[1:-1].split(",") rgb = [int(x) for x in rgb_pre] if rgb == [] or opacity > 1. or opacity < 0.: raise ValueError('Please enter a color or/and opacity in a valid format!') else: rgba = rgb.copy() rgba.append(int(opacity*255/1.)) return rgba def _setCompartmentPosition(df, id, position): """ Set the x,y coordinates of the compartment position. Args: df: DataFrame-initial information. id: str-compartment id. position: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the compartment. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the compartment. Returns: df_temp: DataFrame-information after updates. """ df_CompartmentData_temp = df[0].copy() idx_list = df[0].index[df[0]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(position) != list and type(position) != type(point.Point()): raise Exception("Please enter a valid position type.") if type(position) == type(point.Point()): position = [position.x, position.y] for i in range(len(idx_list)): df_CompartmentData_temp.at[idx_list[i],"position"] = position df_temp = (df_CompartmentData_temp, df[1], df[2], df[3], df[4]) return df_temp def _setCompartmentSize(df, id, size): """ Set the compartment size. Args: df: DataFrame-initial information. id: str-compartment id. size: list or point.Point() list- 1*2 matrix-size of the compartment [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the compartment. Returns: df_temp: DataFrame-information after updates. """ df_CompartmentData_temp = df[0].copy() idx_list = df[0].index[df[0]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(size) != list and type(size) != type(point.Point()): raise Exception("Please enter a valid size type.") if type(size) == type(point.Point()): size = [size.x, size.y] for i in range(len(idx_list)): df_CompartmentData_temp.at[idx_list[i],"size"] = size df_temp = (df_CompartmentData_temp, df[1], df[2], df[3], df[4]) return df_temp def _setCompartmentFillColor(df, id, fill_color, opacity): """ Set the compartment fill color Args: df: DataFrame-initial information. id: str-compartment id. fill_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). Returns: df_temp: DataFrame-information after updates. """ df_CompartmentData_temp = df[0].copy() idx_list = df[0].index[df[0]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") fill_color = _color_to_rgb(fill_color, opacity) for i in range(len(idx_list)): df_CompartmentData_temp.at[idx_list[i],"fill_color"] = fill_color df_temp = (df_CompartmentData_temp, df[1], df[2], df[3], df[4]) return df_temp def _setCompartmentBorderColor(df, id, border_color, opacity): """ Set the compartment border color. Args: df: DataFrame-initial information. id: str-compartment id. border_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). Returns: df_temp: DataFrame-information after updates. """ df_CompartmentData_temp = df[0].copy() idx_list = df[0].index[df[0]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") border_color = _color_to_rgb(border_color, opacity) for i in range(len(idx_list)): df_CompartmentData_temp.at[idx_list[i],"border_color"] = border_color df_temp = (df_CompartmentData_temp, df[1], df[2], df[3], df[4]) return df_temp def _setCompartmentBorderWidth(df, id, border_width): """ Set the compartment border width. Args: df: DataFrame-initial information. id: str-compartment id. border_width: float-compartment border line width. Returns: df_temp: DataFrame-information after updates. """ df_CompartmentData_temp = df[0].copy() idx_list = df[0].index[df[0]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") for i in range(len(idx_list)): df_CompartmentData_temp.at[idx_list[i],"border_width"] = border_width df_temp = (df_CompartmentData_temp, df[1], df[2], df[3], df[4]) return df_temp def _setFloatingBoundaryNode(df, id, floating_node, alias = 0): """ Set a node to be floating node (True) or boundary node (False). Args: df: DataFrame-initial information. id: str-node id. floating_node: bool-floating node (True) or not (False). alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"floating_node"] = floating_node if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"floating_node"] = floating_node else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodePosition(df, id, position, alias = 0): """ Set the x,y coordinates of the node position. Args: df: DataFrame-initial information. id: str-node id. position: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the node. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the node. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(position) != list and type(position) != type(point.Point()): raise Exception("Please enter a valid position type.") if type(position) == type(point.Point()): position = [position.x, position.y] # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"position"] = position if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"position"] = position else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeSize(df, id, size, alias = 0): """ Set the node size. Args: df: DataFrame-initial information. id: str-node id. size: list or point.Point() list- 1*2 matrix-size of the node [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the node. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(size) != list and type(size) != type(point.Point()): raise Exception("Please enter a valid size type.") if type(size) == type(point.Point()): size = [size.x, size.y] # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"size"] = size if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"size"] = size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeShape(df, id, shape, alias = 0): """ Set the node shape by shape index or name string. Args: df: DataFrame-initial information. id: int-node id. shape: int/str- int-0:text_only, 1:rectangle, 2:ellipse, 3:hexagon, 4:line, or 5:triangle; 6:upTriangle, 7:downTriangle, 8:leftTriangle, 9: rightTriangle. str-"text_only", "rectangle", "ellipse", "hexagon", "line", or "triangle"; "upTriangle", "downTriangle", "leftTriangle", "rightTriangle". alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ shape_idx = -1 #undefined shape df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") shape_info = [] shape_type = '' if isinstance(shape, str): shape_name = shape if shape == 'text_only': shape_idx = 0 elif shape == 'rectangle': shape_idx = 1 shape_type = 'rectangle' elif shape == 'ellipse': shape_idx = 2 shape_type = 'ellipse' shape_info = [[[50.0, 50.0], [50.0, 50.0]]] elif shape == 'hexagon': shape_idx = 3 shape_type = 'polygon' shape_info = [[100.0, 50.0], [75.0, 7.0], [25.0, 7.0], [0.0, 50.0], [25.0, 86.0], [75.0, 86.0]] elif shape == "line": shape_idx = 4 shape_type = 'polygon' shape_info = [[0.0, 50.0], [100.0, 50.0]] elif shape == "triangle": shape_idx = 5 shape_type = 'polygon' shape_info = [[100.0, 50.0], [25.0, 7.0], [25.0, 86.0]] elif shape == "upTriangle": shape_idx = 6 shape_type = 'polygon' shape_info = [[50.0, 0.0], [100.0, 80.6], [0.0, 80.6]] elif shape == "downTriangle": shape_idx = 7 shape_type = 'polygon' shape_info = [[0.0, 19.4], [100.0, 19.4], [50.0, 100.]] elif shape == "leftTriangle": shape_idx = 8 shape_type = 'polygon' shape_info = [[80.6, 0.0], [80.6, 100.0], [0.0, 50.0]] elif shape == "rightTriangle": shape_idx = 9 shape_type = 'polygon' shape_info = [[19.4, 0.0], [100., 50.0], [19.4, 100.0]] else: raise Exception("This is not a valid node shape information.") elif isinstance(shape, int): if 0 <= shape <= 9: shape_idx = shape if shape == 0: shape_name = 'text_only' elif shape == 1: shape_name = 'rectangle' shape_type = 'rectangle' elif shape == 2: shape_name = 'ellipse' shape_type = 'ellipse' shape_info = [[[50.0, 50.0], [50.0, 50.0]]] elif shape == 3: shape_name = 'hexagon' shape_type = 'polygon' shape_info = [[100.0, 50.0], [75.0, 7.0], [25.0, 7.0], [0.0, 50.0], [25.0, 86.0], [75.0, 86.0]] elif shape == 4: shape_name = 'line' shape_type = 'polygon' shape_info = [[0.0, 50.0], [100.0, 50.0]] elif shape == 5: shape_name = 'triangle' shape_type = 'polygon' shape_info = [[100.0, 50.0], [25.0, 7.0], [25.0, 86.0]] elif shape == 6: shape_name = 'upTriangle' shape_type = 'polygon' shape_info = [[50.0, 0.0], [100.0, 80.6], [0.0, 80.6]] elif shape == 7: shape_name = 'downTirangle' shape_type = 'polygon' shape_info = [[0.0, 19.4], [100.0, 19.4], [50.0, 100.]] elif shape == 8: shape_name = 'leftTriangle' shape_type = 'polygon' shape_info = [[80.6, 0.0], [80.6, 100.0], [0.0, 50.0]] elif shape == 9: shape_name = 'rightTriangle' shape_type = 'polygon' shape_info = [[19.4, 0.0], [100., 50.0], [19.4, 100.0]] else: raise Exception("This is not a valid node shape information.") else: raise Exception("This is not a valid node shape information.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"shape_idx"] = shape_idx # df_NodeData_temp.at[idx_list[i],"shape_name"] = shape_name # df_NodeData_temp.at[idx_list[i],"shape_type"] = shape_type # df_NodeData_temp.at[idx_list[i],"shape_info"] = shape_info if alias < len(idx_list) and alias >= 0: i = alias df_NodeData_temp.at[idx_list[i],"shape_idx"] = shape_idx df_NodeData_temp.at[idx_list[i],"shape_name"] = shape_name df_NodeData_temp.at[idx_list[i],"shape_type"] = shape_type df_NodeData_temp.at[idx_list[i],"shape_info"] = shape_info else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeArbitraryPolygonShape(df, id, shape_name, shape_info, alias = 0): """ Set an arbitrary polygon shape to a node by shape name and shape info. Args: id: str-node id. shape_name: str-name of the arbitrary polygon shape. shape_info: list-[[x1,y1],[x2,y2],[x3,y3],etc], where x,y are floating numbers from 0 to 100. x represents the percentage of width, and y represents the percentage of height. alias: int-alias node index [0, num_alias). """ shape_idx = -2 #arbitrary polygon df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if isinstance(shape_name, str): for i in range(len(idx_list)): df_NodeData_temp.at[idx_list[i],"shape_name"] = shape_name else: raise Exception("This is not a valid node shape name.") #check the shape_info is in the correct format: shape_info_flag = True if isinstance(shape_info, list) and len(shape_info) >= 2: for ii in range(len(shape_info)): if isinstance(shape_info[ii], list) and len(shape_info[ii]) == 2: if all(isinstance(float(item), float) for item in shape_info[ii]): pass else: shape_info_flag = False raise Exception("This is not a valid node shape info.") else: shape_info_flag = False raise Exception("This is not a valid node shape info.") else: shape_info_flag = False raise Exception("This is not a valid node shape info.") if shape_info_flag == True: for i in range(len(idx_list)): df_NodeData_temp.at[idx_list[i],"shape_info"] = shape_info # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"shape_idx"] = shape_idx # df_NodeData_temp.at[idx_list[i],"shape_type"] = 'polygon' if alias < len(idx_list) and alias >= 0: i = alias df_NodeData_temp.at[idx_list[i],"shape_idx"] = shape_idx df_NodeData_temp.at[idx_list[i],"shape_type"] = 'polygon' else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp # def _setNodeArbitraryEllipseShape(df, id, shape_name, shape_info): # """ # Set an arbitrary ellipse shape to a node by shape name and shape info. # Args: # id: str-node id. # shape_name: str-name of the arbitrary ellipse shape. # shape_info: list-[[[x1,y1],[r1,r2]]], where x,y,r are floating numbers from 0 to 100. # """ # shape_idx = -3 #arbitrary ellipse # df_NodeData_temp = df[1].copy() # idx_list = df[1].index[df[1]["id"] == id].tolist() # if len(idx_list) == 0: # raise Exception("This is not a valid id.") # if isinstance(shape_name, str): # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"shape_name"] = shape_name # else: # raise Exception("This is not a valid node shape name.") # #check the shape_info is in the correct format: # shape_info_flag = True # if isinstance(shape_info, list) and len(shape_info) == 1: # if isinstance(shape_info[0], list) and len(shape_info[0]) == 2: # for ii in range(len(shape_info[0])): # if all(isinstance(float(item), float) for item in shape_info[0][ii]): # pass # else: # shape_info_flag = False # raise Exception("This is not a valid node shape info.") # else: # shape_info_flag = False # raise Exception("This is not a valid node shape info.") # else: # shape_info_flag = False # raise Exception("This is not a valid node shape info.") # if shape_info_flag == True: # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"shape_info"] = shape_info # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"shape_idx"] = shape_idx # df_NodeData_temp.at[idx_list[i],"shape_type"] = 'ellipse' # df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) # return df_temp def _setNodeTextPosition(df, id, txt_position, alias = 0): """ Set the x,y coordinates of the node text position. Args: df: DataFrame-initial information. id: str-node id. txt_position: list or point.Point() list- [txt_position_x, txt_position_y], the coordinate represents the top-left hand corner of the node text. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the node text. alias: alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(txt_position) != list and type(txt_position) != type(point.Point()): raise Exception("Please enter a valid txt_position type.") if type(txt_position) == type(point.Point()): txt_position = [txt_position.x, txt_position.y] # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"txt_position"] = txt_position else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionCenter(df, id, alias = 0): """ Set the node text position as the center of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # # txt_str = df_NodeData_temp.at[idx_list[i],"id"] # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # #shape_type = df_NodeData_temp.at[idx_list[i],"shape_type"] # txt_position = node_position # txt_size = node_size # # if shape_type == "polygon": # # vertex = [] # # shape_info = df_NodeData_temp.at[idx_list[i],"shape_info"] # # for j in range(len(shape_info)): # # vertex_x = node_position[0]+node_size[0]*shape_info[j][0]/100. # # vertex_y = node_position[1]+node_size[1]*shape_info[j][1]/100. # # vertex.append([vertex_x,vertex_y]) # # def centroid(vertexes): # # _x_list = [vertex [0] for vertex in vertexes] # # _y_list = [vertex [1] for vertex in vertexes] # # _len = len(vertexes) # # _x = sum(_x_list) / _len # # _y = sum(_y_list) / _len # # return[_x, _y] # # centroid_pos = centroid(vertex) # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = txt_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = node_position txt_size = node_size df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = txt_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionLeftCenter(df, id, alias = 0): """ Set the node text position as the left center of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0]-node_size[0], node_position[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0]-node_size[0], node_position[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionRightCenter(df, id, alias = 0): """ Set the node text position as the right center of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0 and alias >= 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0]+node_size[0], node_position[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0]+node_size[0], node_position[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionUpperCenter(df, id, alias = 0): """ Set the node text position as the upper center of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0 and alias >= 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0], node_position[1]-node_size[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0], node_position[1]-node_size[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionLowerCenter(df, id, alias = 0): """ Set the node text position as the lower center of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0], node_position[1]+node_size[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0], node_position[1]+node_size[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionUpperLeft(df, id, alias = 0): """ Set the node text position as the upper left of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0]-node_size[0], node_position[1]-node_size[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0]-node_size[0], node_position[1]-node_size[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionUpperRight(df, id, alias = 0): """ Set the node text position as the upper right of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0]+node_size[0], node_position[1]-node_size[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0]+node_size[0], node_position[1]-node_size[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionLowerLeft(df, id, alias = 0): """ Set the node text position as the lower left of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0]-node_size[0], node_position[1]+node_size[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0]-node_size[0], node_position[1]+node_size[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextPositionLowerRight(df, id, alias = 0): """ Set the node text position as the lower right of the node. Args: df: DataFrame-initial information. id: str-node id. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0 and alias >= 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # node_position = df_NodeData_temp.at[idx_list[i],"position"] # node_size = df_NodeData_temp.at[idx_list[i],"size"] # txt_position = [node_position[0]+node_size[0], node_position[1]+node_size[1]] # df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position # df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size if alias < len(idx_list) and alias >= 0: i = alias node_position = df_NodeData_temp.at[idx_list[i],"position"] node_size = df_NodeData_temp.at[idx_list[i],"size"] txt_position = [node_position[0]+node_size[0], node_position[1]+node_size[1]] df_NodeData_temp.at[idx_list[i],"txt_position"] = txt_position df_NodeData_temp.at[idx_list[i],"txt_size"] = node_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextSize(df, id, txt_size, alias = 0): """ Set the node text size. Args: df: DataFrame-initial information. id: str-node id. txt_size: list or point.Point() list- 1*2 matrix-size of the node text [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the node text. alias: alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(txt_size) != list and type(txt_size) != type(point.Point()): raise Exception("Please enter a valid txt_size type.") if type(txt_size) == type(point.Point()): txt_size = [txt_size.x, txt_size.y] # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"txt_size"] = txt_size if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"txt_size"] = txt_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeFillColor(df, id, fill_color, opacity, alias = 0 ): """ Set the node fill color. Args: df: DataFrame-initial information. id: str-node id. fill_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() fill_color = _color_to_rgb(fill_color, opacity) if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"fill_color"] = fill_color if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"fill_color"] = fill_color else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeFillLinearGradient(df, id, gradient_info, stop_info, alias = 0): """ Set the node fill linear gradient. Args: id: str-node id. gradient_info: list - [[x1,y1],[x2,y2]], where x,y are floating numbers from 0 to 100. x represents the percentage of width, and y represents the percentage of height. stop_info, list - [[x1,[r1,g1,b1,a1]],[x2,[r2,g2,b2,a2]],etc], where x is floating number from 0 to 100. alias: int-alias node index [0, num_alias). """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") #check the gradient_info is in the correct format: gradient_info_flag = True stop_info_flag = True if isinstance(gradient_info, list) and len(gradient_info) == 2: for ii in range(len(gradient_info)): if isinstance(gradient_info[ii], list) and len(gradient_info[ii]) == 2: if all(isinstance(float(item), float) for item in gradient_info[ii]): pass else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") if isinstance(stop_info, list) and len(stop_info) >= 2: for ii in range(len(stop_info)): if isinstance(stop_info[ii], list): if len(stop_info[ii]) == 2: if type(stop_info[ii][0]) == float and type(stop_info[ii][1]) == list: if len(stop_info[ii][1]) == 4 and all(isinstance(int(item), int) and int(item) <= 255 and int(item) >= 0 for item in stop_info[ii][1]): pass else: stop_info_flag = False raise Exception("This is not a valid stop info.") else: stop_info_flag = False raise Exception("This is not a valid stop info.") elif len(stop_info[ii]) == 3: if type(stop_info[ii][0]) == float and type(stop_info[ii][1]) == str and type(stop_info[ii][2]) == float: html_to_rgba = _color_to_rgb(stop_info[ii][1], stop_info[ii][2]) stop_info[ii] = [stop_info[ii][0], html_to_rgba] else: stop_info_flag = False raise Exception("This is not a valid stop info.") else: stop_info_flag = False else: stop_info_flag = False raise Exception("This is not a valid stop info.") else: stop_info_flag = False raise Exception("This is not a valid stop info.") if gradient_info_flag == True and stop_info_flag == True: fill_color = ['linearGradient', gradient_info, stop_info] # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"fill_color"] = fill_color if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"fill_color"] = fill_color else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeFillRadialGradient(df, id, gradient_info, stop_info, alias = 0): """ Set the node fill radial gradient. Args: id: str-node id. gradient_info: list - [[x1,y1],[r]], where x,y,r are floating numbers from 0 to 100. x represents the center with percentage of width and height; r represents the radius. stop_info, list - [[x1,[r1,g1,b1,a1]],[x2,[r2,g2,b2,a2]],etc], where x is floating number from 0 to 100. alias: int-alias node index [0, num_alias). """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") #check the gradient_info is in the correct format: gradient_info_flag = True stop_info_flag = True if isinstance(gradient_info, list) and len(gradient_info) == 2: if isinstance(gradient_info[0], list) and len(gradient_info[0]) == 2: if all(isinstance(float(item), float) for item in gradient_info[0]): pass else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") if isinstance(gradient_info[1], list) and len(gradient_info[1]) == 1: if type(gradient_info[1][0]) == float: pass else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") else: gradient_info_flag = False raise Exception("This is not a valid gradient info.") if isinstance(stop_info, list) and len(stop_info) >= 2: for ii in range(len(stop_info)): if isinstance(stop_info[ii], list): if len(stop_info[ii]) == 2: if type(stop_info[ii][0]) == float and type(stop_info[ii][1]) == list: if len(stop_info[ii][1]) == 4 and all(isinstance(int(item), int) and int(item) <= 255 and int(item) >= 0 for item in stop_info[ii][1]): pass else: stop_info_flag = False raise Exception("This is not a valid stop info.") else: stop_info_flag = False raise Exception("This is not a valid stop info.") elif len(stop_info[ii]) == 3: if type(stop_info[ii][0]) == float and type(stop_info[ii][1]) == str and type(stop_info[ii][2]) == float: html_to_rgba = _color_to_rgb(stop_info[ii][1], stop_info[ii][2]) stop_info[ii] = [stop_info[ii][0], html_to_rgba] else: stop_info_flag = False raise Exception("This is not a valid stop info.") else: stop_info_flag = False else: stop_info_flag = False raise Exception("This is not a valid stop info.") else: stop_info_flag = False raise Exception("This is not a valid stop info.") if gradient_info_flag == True and stop_info_flag == True: fill_color = ['radialGradient', gradient_info, stop_info] # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"fill_color"] = fill_color if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"fill_color"] = fill_color else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeBorderColor(df, id, border_color, opacity, alias = 0): """ Set the node border color. Args: df: DataFrame-initial information. id: str-node id. border_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() border_color = _color_to_rgb(border_color, opacity) if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"border_color"] = border_color if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"border_color"] = border_color else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeBorderWidth(df, id, border_width, alias = 0): """ Set the node border width. Args: df: DataFrame-initial information. id: str-node id. border_width: float-node border line width. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"border_width"] = border_width if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"border_width"] = border_width else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextFontColor(df, id, txt_font_color, opacity, alias = 0): """ Set the node text font color. Args: df: DataFrame-initial information. id: str-node id. txt_font_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") txt_font_color = _color_to_rgb(txt_font_color, opacity) # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"txt_font_color"] = txt_font_color if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"txt_font_color"] = txt_font_color else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextLineWidth(df, id, txt_line_width, alias = 0): """ Set the node text line width. Args: df: DataFrame-initial information. id: str-node id. txt_line_width: float-node text line width. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"txt_line_width"] = txt_line_width if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"txt_line_width"] = txt_line_width else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setNodeTextFontSize(df, id, txt_font_size, alias = 0): """ Set the node text font size. Args: df: DataFrame-initial information. id: str-node id. txt_font_size: float-node text font size. alias: int-alias node index [0, num_alias). Returns: df_temp: DataFrame-information after updates. """ df_NodeData_temp = df[1].copy() idx_list = df[1].index[df[1]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") # for i in range(len(idx_list)): # df_NodeData_temp.at[idx_list[i],"txt_font_size"] = txt_font_size if alias < len(idx_list) and alias >= 0: df_NodeData_temp.at[idx_list[alias],"txt_font_size"] = txt_font_size else: raise Exception("Alias index is beyond number of alias.") df_temp = (df[0], df_NodeData_temp, df[2], df[3], df[4]) return df_temp def _setReactionCenterPosition(df, id, position): """ Set the reaction center position. Args: df: DataFrame-initial information. id: str-reaction id. position: list or point.Point() list- 1*2 matrix-[position_x, position_y]. point.Point()- a Point object with attributes x and y representing the x/y position. Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(position) != list and type(position) != type(point.Point()): raise Exception("Please enter a valid position type.") if type(position) == type(point.Point()): position = [position.x, position.y] for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"center_pos"] = position df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) return df_temp def _setReactionBezierHandles(df, id, position): """ Set the reaction bezier handle positions. Args: df: DataFrame-initial information. id: str-reaction id. position: list-position of the handles: [center handle, reactant handle1, ..., product handle1, ...]. center handle/reactant handle1/product handle1: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the node. point.Point()- a Point object with attributes x and y representing the x/y position. Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(position) != list: raise Exception("Please enter a valid position type.") else: if all(isinstance(item, list) for item in position): pass elif all(type(item) == type(point.Point()) for item in position): position_to_list = [] for item in position: position_to_list.append([item.x,item.y]) position = position_to_list else: raise Exception("Please enter a valid position type.") for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"handles"] = position df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) return df_temp def _setReactionFillColor(df, id, fill_color, opacity): """ Set the reaction fill color. Args: df: DataFrame-initial information. id: str-reaction id. fill_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") fill_color = _color_to_rgb(fill_color, opacity) for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"fill_color"] = fill_color df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) return df_temp def _setReactionLineThickness(df, id, line_thickness): """ Set the reaction line thickness. Args: df: DataFrame-initial information. id: str-reaction id. line_thickness: float-reaction border line width. Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"line_thickness"] = line_thickness df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) return df_temp def _setBezierReactionType(df, id, bezier): """ Set the reaction type to bezier curve or not with a certain reaction id. Args: df: DataFrame-initial information. id: str-reaction id. bezier: bool-bezier reaction (True as default) or not (False as straightline). Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"bezier"] = bezier df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) return df_temp def _setReactionArrowHeadSize(df, id, size): #def _setReactionArrowHeadSize(df, size): """ Set the reaction arrow head size with a certain reaction id. Args: df: DataFrame-initial information. size: list or point.Point() list- 1*2 matrix-size of the arrow head [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the arrow head. Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(size) != list and type(size) != type(point.Point()): raise Exception("Please enter a valid size type.") if type(size) == type(point.Point()): size = [size.x, size.y] for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"arrow_head_size"] = size df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) # df_ReactionData_temp = df[2].copy() # for i in range(len(df_ReactionData_temp)): # df_ReactionData_temp.at[i,"arrow_head_size"] = size # df_temp = (df[0], df[1], df_ReactionData_temp, df[3]) return df_temp def _setReactionDashStyle(df, id, dash): """ Set the reaction dash information with a certain reaction id. Args: df: DataFrame-initial information. id: str-reaction id. dash: list - [] means solid; [a,b] means drawing a a-point line and following a b-point gap and etc; [a,b,c,d] means drawing a a-point line and following a b-point gap, and then drawing a c-point line followed by a d-point gap. Returns: df_temp: DataFrame-information after updates. """ df_ReactionData_temp = df[2].copy() idx_list = df[2].index[df[2]["id"] == id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(dash) != list: raise Exception("Please enter a valid dash type.") for i in range(len(idx_list)): df_ReactionData_temp.at[idx_list[i],"rxn_dash"] = dash df_temp = (df[0], df[1], df_ReactionData_temp, df[3], df[4]) return df_temp # def _addText(df_text, txt_str, txt_position, txt_font_color = [0, 0, 0], opacity = 1., # txt_line_width = 1., txt_font_size = 12.): # """ # Set arbitray text onto canvas. # Args: # txt_str: str-the text content. # txt_position: list-[position_x, position_y], the coordinate represents the top-left hand # corner of the node text. # txt_font_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). # opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). # txt_line_width: float-node text line width. # txt_font_size: float-node text font size. # """ # txt_font_color_rgba = _color_to_rgb(txt_font_color, opacity) # df_text_temp = df_text.copy() # text_row_dct = {k:[] for k in processSBML.COLUMN_NAME_df_text} # text_row_dct[processSBML.ID].append(txt_str) # text_row_dct[processSBML.TXTPOSITION].append(txt_position) # text_row_dct[processSBML.TXTFONTCOLOR].append(txt_font_color_rgba) # text_row_dct[processSBML.TXTLINEWIDTH].append(txt_line_width) # text_row_dct[processSBML.TXTFONTSIZE].append(txt_font_size) # if len(df_text_temp) == 0: # df_text_temp = pd.DataFrame(text_row_dct) # else: # df_text_temp = pd.concat([df_text_temp,\ # pd.DataFrame(text_row_dct)], ignore_index=True) # return df_text_temp # def _removeText(df_text, txt_str): # """ # Set arbitray text onto canvas. # Args: # txt_str: str-the text content. # """ # df_text_temp = df_text.copy() # idx_list = df_text_temp.index[df_text_temp[processSBML.ID] == txt_str].tolist() # if len(idx_list) == 0: # raise Exception("This is not a valid text content.") # df_text_temp = df_text_temp.drop(idx_list) # return df_text_temp def _setTextContent(df, txt_id, txt_content): """ Set the arbitrary text content. Args: df: DataFrame-initial information. txt_id: str-the text id. txt_content: str-the text content. Returns: df_temp: DataFrame-information after updates. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") for i in range(len(idx_list)): df_TextData_temp.at[idx_list[i],"txt_content"] = txt_content df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _setTextPosition(df, txt_id, txt_position): """ Set the x,y coordinates of the node text position. Args: df: DataFrame-initial information. txt_id: str-the text id. txt_position: list or point.Point() list- [txt_position_x, txt_position_y], the coordinate represents the top-left hand corner of the node text. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the text. Returns: df_temp: DataFrame-information after updates. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(txt_position) != list and type(txt_position) != type(point.Point()): raise Exception("Please enter a valid txt_position type.") if type(txt_position) == type(point.Point()): txt_position = [txt_position.x, txt_position.y] for i in range(len(idx_list)): df_TextData_temp.at[idx_list[i],"txt_position"] = txt_position df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _setTextSize(df, txt_id, txt_size): """ Set the arbitrary text size. Args: df: DataFrame-initial information. txt_id: str-the text id. txt_size: list or point.Point() list- 1*2 matrix-size of the text [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the text. Returns: df_temp: DataFrame-information after updates. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") if type(txt_size) != list and type(txt_size) != type(point.Point()): raise Exception("Please enter a valid txt_size type.") if type(txt_size) == type(point.Point()): txt_size = [txt_size.x, txt_size.y] for i in range(len(idx_list)): df_TextData_temp.at[idx_list[i],"txt_size"] = txt_size df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _setTextFontColor(df, txt_id, txt_font_color, opacity): """ Set the arbitrary text font color. Args: df: DataFrame-initial information. txt_id: str-the text id. txt_font_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). Returns: df_temp: DataFrame-information after updates. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") txt_font_color = _color_to_rgb(txt_font_color, opacity) for i in range(len(idx_list)): df_TextData_temp.at[idx_list[i],"txt_font_color"] = txt_font_color df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _setTextLineWidth(df, txt_id, txt_line_width): """ Set the arbitrary text line width. Args: df: DataFrame-initial information. txt_id: str-the text id. txt_line_width: float-node text line width. Returns: df_temp: DataFrame-information after updates. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") for i in range(len(idx_list)): df_TextData_temp.at[idx_list[i],"txt_line_width"] = txt_line_width df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _setTextFontSize(df, txt_id, txt_font_size): """ Set the arbitrary text font size. Args: df: DataFrame-initial information. txt_id: str-the text id. txt_font_size: float-text font size. Returns: df_temp: DataFrame-information after updates. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") for i in range(len(idx_list)): df_TextData_temp.at[idx_list[i],"txt_font_size"] = txt_font_size df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _addText(df, txt_id, txt_content, txt_position, txt_size, txt_font_color = [0, 0, 0], opacity = 1., txt_line_width = 1., txt_font_size = 12.): """ Set arbitray text onto canvas. Args: txt_id: str-the text id. txt_content: str-the text content. txt_position: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the text. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the text. txt_size: list or point.Point() list- 1*2 matrix-size of the text [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the text. txt_font_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). txt_line_width: float-text line width. txt_font_size: float-text font size. """ if type(txt_position) != list and type(txt_position) != type(point.Point()): raise Exception("Please enter a valid txt_position type.") if type(txt_position) == type(point.Point()): txt_position = [txt_position.x, txt_position.y] if type(txt_size) != list and type(txt_size) != type(point.Point()): raise Exception("Please enter a valid txt_size type.") if type(txt_size) == type(point.Point()): txt_size = [txt_size.x, txt_size.y] txt_font_color_rgba = _color_to_rgb(txt_font_color, opacity) df_TextData_temp = df[3].copy() text_row_dct = {k:[] for k in processSBML.COLUMN_NAME_df_TextData} text_row_dct[processSBML.TXTCONTENT].append(txt_content) text_row_dct[processSBML.TXTPOSITION].append(txt_position) text_row_dct[processSBML.TXTSIZE].append(txt_size) text_row_dct[processSBML.TXTFONTCOLOR].append(txt_font_color_rgba) text_row_dct[processSBML.TXTLINEWIDTH].append(txt_line_width) text_row_dct[processSBML.TXTFONTSIZE].append(txt_font_size) text_row_dct[processSBML.ID].append(txt_id) if len(df_TextData_temp) == 0: df_TextData_temp = pd.DataFrame(text_row_dct) else: df_TextData_temp = pd.concat([df_TextData_temp,\ pd.DataFrame(text_row_dct)], ignore_index=True) df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _removeText(df, txt_id): """ Remove the arbitray text. Args: txt_id: str-the text id. """ df_TextData_temp = df[3].copy() idx_list = df[3].index[df[3]["id"] == txt_id].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") df_TextData_temp = df_TextData_temp.drop(idx_list) df_temp = (df[0], df[1], df[2], df_TextData_temp, df[4]) return df_temp def _addRectangle(df, shape_name, position, size, fill_color=[255,255,255], fill_opacity = 1., border_color = [0,0,0], border_opacity = 1., border_width = 2.): """ Add a rectangle onto canvas. Args: shape_name: str-the name of the rectangle. position: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the rectangle. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the rectangle. size: list or point.Point() list- 1*2 matrix-size of the rectangle [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the rectangle. fill_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). fill_opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). border_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). border_opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). border_width: float-node text line width. """ if type(position) != list and type(position) != type(point.Point()): raise Exception("Please enter a valid position type.") if type(position) == type(point.Point()): position = [position.x, position.y] if type(size) != list and type(size) != type(point.Point()): raise Exception("Please enter a valid size type.") if type(size) == type(point.Point()): size = [size.x, size.y] fill_color_rgba = _color_to_rgb(fill_color, fill_opacity) border_color_rgba = _color_to_rgb(border_color, border_opacity) df_ShapeData_temp = df[4].copy() shape_row_dct = {k:[] for k in processSBML.COLUMN_NAME_df_ShapeData} shape_row_dct[processSBML.SHAPENAME].append(shape_name) shape_row_dct[processSBML.POSITION].append(position) shape_row_dct[processSBML.SIZE].append(size) shape_row_dct[processSBML.FILLCOLOR].append(fill_color_rgba) shape_row_dct[processSBML.BORDERCOLOR].append(border_color_rgba) shape_row_dct[processSBML.BORDERWIDTH].append(border_width) shape_row_dct[processSBML.SHAPETYPE].append('rectangle') shape_row_dct[processSBML.SHAPEINFO].append([]) if len(df_ShapeData_temp) == 0: df_ShapeData_temp = pd.DataFrame(shape_row_dct) else: df_ShapeData_temp = pd.concat([df_ShapeData_temp,\ pd.DataFrame(shape_row_dct)], ignore_index=True) df_temp = (df[0], df[1], df[2], df[3], df_ShapeData_temp) return df_temp def _addEllipse(df, shape_name, position, size, fill_color = [255,255,255], fill_opacity = 1., border_color = [0,0,0], border_opacity = 1., border_width = 2.): """ Add an ellipse onto canvas. Args: shape_name: str-the name of the ellipse. position: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the ellipse. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the ellipse. size: list or point.Point() list- 1*2 matrix-size of the ellipse [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the ellipse. fill_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). fill_opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). border_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). border_opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). border_width: float-node text line width. """ if type(position) != list and type(position) != type(point.Point()): raise Exception("Please enter a valid position type.") if type(position) == type(point.Point()): position = [position.x, position.y] if type(size) != list and type(size) != type(point.Point()): raise Exception("Please enter a valid size type.") if type(size) == type(point.Point()): size = [size.x, size.y] fill_color_rgba = _color_to_rgb(fill_color, fill_opacity) border_color_rgba = _color_to_rgb(border_color, border_opacity) df_ShapeData_temp = df[4].copy() shape_row_dct = {k:[] for k in processSBML.COLUMN_NAME_df_ShapeData} shape_row_dct[processSBML.SHAPENAME].append(shape_name) shape_row_dct[processSBML.POSITION].append(position) shape_row_dct[processSBML.SIZE].append(size) shape_row_dct[processSBML.FILLCOLOR].append(fill_color_rgba) shape_row_dct[processSBML.BORDERCOLOR].append(border_color_rgba) shape_row_dct[processSBML.BORDERWIDTH].append(border_width) shape_row_dct[processSBML.SHAPETYPE].append('ellipse') shape_row_dct[processSBML.SHAPEINFO].append([]) if len(df_ShapeData_temp) == 0: df_ShapeData_temp = pd.DataFrame(shape_row_dct) else: df_ShapeData_temp = pd.concat([df_ShapeData_temp,\ pd.DataFrame(shape_row_dct)], ignore_index=True) df_temp = (df[0], df[1], df[2], df[3], df_ShapeData_temp) return df_temp def _addPolygon(df, shape_name, shape_info, position, size, fill_color=[255,255,255], fill_opacity = 1., border_color = [0,0,0], border_opacity = 1., border_width = 2.): """ Add an polygon onto canvas. Args: shape_name: str-the name of the polygon. shape_info: list-[[x1,y1],[x2,y2],[x3,y3],etc], where x,y are floating numbers from 0 to 100. x represents the percentage of width, and y represents the percentage of height. position: list or point.Point() list- [position_x, position_y], the coordinate represents the top-left hand corner of the Polygon. point.Point()- a Point object with attributes x and y representing the x/y position of the top-left hand corner of the polygon. size: list or point.Point() list- 1*2 matrix-size of the polygon [width, height]. point.Point()- a Point object with attributes x and y representing the width and height of the Polygon. fill_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). fill_opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). border_color: list-decimal_rgb 1*3 matrix/str-html_name/str-hex_string (6-digit). border_opacity: float-value is between [0,1], default is fully opaque (opacity = 1.). border_width: float-node text line width. """ if type(position) != list and type(position) != type(point.Point()): raise Exception("Please enter a valid position type.") if type(position) == type(point.Point()): position = [position.x, position.y] if type(size) != list and type(size) != type(point.Point()): raise Exception("Please enter a valid size type.") if type(size) == type(point.Point()): size = [size.x, size.y] fill_color_rgba = _color_to_rgb(fill_color, fill_opacity) border_color_rgba = _color_to_rgb(border_color, border_opacity) df_ShapeData_temp = df[4].copy() shape_row_dct = {k:[] for k in processSBML.COLUMN_NAME_df_ShapeData} shape_row_dct[processSBML.SHAPENAME].append(shape_name) shape_row_dct[processSBML.POSITION].append(position) shape_row_dct[processSBML.SIZE].append(size) shape_row_dct[processSBML.FILLCOLOR].append(fill_color_rgba) shape_row_dct[processSBML.BORDERCOLOR].append(border_color_rgba) shape_row_dct[processSBML.BORDERWIDTH].append(border_width) shape_row_dct[processSBML.SHAPETYPE].append('polygon') shape_row_dct[processSBML.SHAPEINFO].append(shape_info) if len(df_ShapeData_temp) == 0: df_ShapeData_temp = pd.DataFrame(shape_row_dct) else: df_ShapeData_temp = pd.concat([df_ShapeData_temp,\ pd.DataFrame(shape_row_dct)], ignore_index=True) df_temp = (df[0], df[1], df[2], df[3], df_ShapeData_temp) return df_temp def _removeShape(df, shape_name_str): """ Remove the arbitray shape. Args: shape_name_str: str-the shape name. """ df_ShapeData_temp = df[4].copy() idx_list = df[4].index[df[4]["shape_name"] == shape_name_str].tolist() if len(idx_list) == 0: raise Exception("This is not a valid id.") df_ShapeData_temp = df_ShapeData_temp.drop(idx_list) df_temp = (df[0], df[1], df[2], df[3], df_ShapeData_temp) return df_temp

37.417992

2,267

0.609019

11,803

82,357

4.06134

0.062442

0.044247

0.049357

0.037154

0.828959

0.818487

0.80693

0.795498

0.781271

0.771132

0

0.044314

0.251964

82,357

2,201

2,268

37.417992

0.733792

0.349381

0

0.764254

0

0.171372

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0.054825

false

0.007675

0.004386

0

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null

0

1

0

1

0

1

0

null

0

8

3c53991ac44ee6ae56e3cc82b381262ef9e97ab9

5,628

py

Python

easelenium/mouse.py

kirillstrelkov/easyselenium

99af15df42d3b4fe2c83a4a8d8d73b0f468539f7

[ "MIT" ]

1

2021-06-13T10:49:01.000Z

easelenium/mouse.py

kirillstrelkov/easelenium

99af15df42d3b4fe2c83a4a8d8d73b0f468539f7

[ "MIT" ]

null

easelenium/mouse.py

kirillstrelkov/easelenium

99af15df42d3b4fe2c83a4a8d8d73b0f468539f7

[ "MIT" ]

1

2019-02-24T03:06:56.000Z

class Mouse(object): def __init__(self, browser): self.browser = browser def left_click( self, element=None, by_id=None, by_xpath=None, by_link=None, by_partial_link=None, by_name=None, by_tag=None, by_css=None, by_class=None, ): self.left_click_by_offset( element, 0, 0, by_id=by_id, by_xpath=by_xpath, by_link=by_link, by_partial_link=by_partial_link, by_name=by_name, by_tag=by_tag, by_css=by_css, by_class=by_class, ) def left_click_by_offset( self, element=None, xoffset=0, yoffset=0, by_id=None, by_xpath=None, by_link=None, by_partial_link=None, by_name=None, by_tag=None, by_css=None, by_class=None, ): actions = self.browser.get_action_chains() element = self.browser._get_element( element=element, by_id=by_id, by_xpath=by_xpath, by_link=by_link, by_partial_link=by_partial_link, by_name=by_name, by_tag=by_tag, by_css=by_css, by_class=by_class, ) self.browser.wait_for_visible( element=element, ) if type(element) == tuple: element = self.browser.find_element( element=element, ) self.browser._safe_log( "Click at '%s' by offset(%s,%s)", element, xoffset, yoffset ) actions.move_to_element(element).move_by_offset( xoffset, yoffset ).click().perform() def hover( self, element=None, by_id=None, by_xpath=None, by_link=None, by_partial_link=None, by_name=None, by_tag=None, by_css=None, by_class=None, ): self.browser._safe_log("Hover at '%s'", element) self.hover_by_offset( element, 0, 0, by_id=by_id, by_xpath=by_xpath, by_link=by_link, by_partial_link=by_partial_link, by_name=by_name, by_tag=by_tag, by_css=by_css, by_class=by_class, ) def hover_by_offset( self, element=None, xoffset=0, yoffset=0, by_id=None, by_xpath=None, by_link=None, by_partial_link=None, by_name=None, by_tag=None, by_css=None, by_class=None, ): actions = self.browser.get_action_chains() element = self.browser._get_element( element=element, by_id=by_id, by_xpath=by_xpath, by_link=by_link, by_partial_link=by_partial_link, by_name=by_name, by_tag=by_tag, by_css=by_css, by_class=by_class, ) self.browser.wait_for_visible( element=element, ) element = self.browser.find_element( element=element, ) self.browser._safe_log( "Mouse over '%s' by offset(%s,%s)", element, xoffset, yoffset ) actions.move_to_element(element).move_by_offset(xoffset, yoffset).perform() def right_click( self, element=None, by_id=None, by_xpath=None, by_link=None, by_partial_link=None, by_name=None, by_tag=None, by_css=None, by_class=None, ): actions = self.browser.get_action_chains() element = self.browser._get_element( element=element, by_id=by_id, by_xpath=by_xpath, by_link=by_link, by_partial_link=by_partial_link, by_name=by_name, by_tag=by_tag, by_css=by_css, by_class=by_class, ) self.browser.wait_for_visible( element=element, ) if type(element) == tuple: element = self.browser.find_element( element=element, ) self.browser._safe_log( "Right click at '%s'", self.browser._to_string( element=element, ), ) actions.context_click(element).perform() def right_click_by_offset( self, element=None, xoffset=0, yoffset=0, by_id=None, by_xpath=None, by_link=None, by_partial_link=None, by_name=None, by_tag=None, by_css=None, by_class=None, ): actions = self.browser.get_action_chains() element = self.browser._get_element( element=element, by_id=by_id, by_xpath=by_xpath, by_link=by_link, by_partial_link=by_partial_link, by_name=by_name, by_tag=by_tag, by_css=by_css, by_class=by_class, ) self.browser.wait_for_visible( element=element, ) if type(element) == tuple: element = self.browser.find_element( element=element, ) self.browser._safe_log( "Right click at '%s' by offset(%s,%s)", element, xoffset, yoffset ) actions.move_to_element(element).move_by_offset( xoffset, yoffset ).context_click().perform()

24.902655

83

0.515991

657

5,628

4.062405

0.070015

0.101161

0.087673

0.076433

0.905583

0

0.002941

0.395878

5,628

225

84

25.013333

0.782059

0

0.805825

0

0.023099

0

1

0.033981

false

0

0.038835

0

null

0

1

0

1

0

null

0

7

3c9ad72ce752f6b5bae237d5f88c958104f5d8ad

201

py

Python

python/src/converters/__init__.py

vvucetic/keyvi

e6f02373350fea000aa3d20be9cc1d0ec09441f7

[ "Apache-2.0" ]

199

2017-12-29T13:36:53.000Z

2022-03-31T19:38:01.000Z

python/src/converters/__init__.py

vvucetic/keyvi

e6f02373350fea000aa3d20be9cc1d0ec09441f7

[ "Apache-2.0" ]

188

2017-11-03T18:22:46.000Z

2022-03-03T17:43:55.000Z

python/src/converters/__init__.py

vvucetic/keyvi

e6f02373350fea000aa3d20be9cc1d0ec09441f7

[ "Apache-2.0" ]

35

2017-11-02T19:18:34.000Z

2021-10-05T09:37:22.000Z

from .pykeyvi_autowrap_conversion_providers import * from autowrap.ConversionProvider import special_converters def register_converters(): special_converters.append(MatchIteratorPairConverter())

28.714286

59

0.860697

19

201

8.789474

0.684211

0.203593

0

0.084577

201

6

60

33.5

0.907609

0

1

0.25

true

0

0.5

0

0.75

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b1caffcf4ef72abfec8b504afb8c6bf3d8e5acf8

370

py

Python

PythonExercicios/ex108 - Formatando moedas em Python/programa principal.py

laaisfmaia/Exercicios-do-Curso-de-Python

bdaaf682db9f058d51d4dd084dab0e095f7e74c3

[ "MIT" ]

null

PythonExercicios/ex108 - Formatando moedas em Python/programa principal.py

laaisfmaia/Exercicios-do-Curso-de-Python

bdaaf682db9f058d51d4dd084dab0e095f7e74c3

[ "MIT" ]

null

PythonExercicios/ex108 - Formatando moedas em Python/programa principal.py

laaisfmaia/Exercicios-do-Curso-de-Python

bdaaf682db9f058d51d4dd084dab0e095f7e74c3

[ "MIT" ]

null

import moeda n = float(input('Digite um preço: R$')) print(f'A metade de {moeda.moeda(n)} é {moeda.moeda(moeda.metade(n))}') print(f'O dobro de {moeda.moeda(n)} é {moeda.moeda(moeda.dobro(n))}') print(f'Aumentando 10% de {moeda.moeda(n)} temos {moeda.moeda(moeda.aumentar(n,10))}') print(f'Diminuindo 20% de {moeda.moeda(n)} temos {moeda.moeda(moeda.diminuir(n,20))}')

46.25

86

0.691892

67

370

3.820896

0.358209

0.46875

0.1875

0.203125

0.484375

0

0.023739

0.089189

370

7

87

52.857143

0.735905

0

0.666667

0.786486

0.348649

0

1

0

false

0

0.166667

0

0.166667

0.666667

0

null

1

0

1

0

1

0

null

0

1

0

7

b1d3ad08f7e74a8dd7683b822ec07fdd04f68f8c

504

py

Python

HS08TEST.py

ankitpipalia/codechef-solutions

d10e7f15b74a11655b0e53953a8e2bc7efbf7377

[ "MIT" ]

1

2022-01-23T08:13:17.000Z

HS08TEST.py

ankitpipalia/codechef-solutions

d10e7f15b74a11655b0e53953a8e2bc7efbf7377

[ "MIT" ]

null

HS08TEST.py

ankitpipalia/codechef-solutions

d10e7f15b74a11655b0e53953a8e2bc7efbf7377

[ "MIT" ]

null

<<<<<<< HEAD amount, balance = input().split(" ") amount = float(amount) balance = float(balance) charges = float(amount + 0.5) if amount % 5 == 0 and charges <= balance: print("%.2f" %(balance - charges)) else: ======= amount, balance = input().split(" ") amount = float(amount) balance = float(balance) charges = float(amount + 0.5) if amount % 5 == 0 and charges <= balance: print("%.2f" %(balance - charges)) else: >>>>>>> 83b4ac685732d66a95a50f86bc7f8eee45be0e28 print("%.2f" %balance)

25.2

48

0.634921

59

504

5.423729

0.254237

0.1625

0.13125

0.14375

0.81875

0

0.082938

0.162698

504

20

49

25.2

0.675355

0

0.777778

0

0.027723

0

null

0

null

0.166667

0

null

0

1

0

1

0

null

0

1

0

8

b1d80ae236da43a2332116c3e32bfb46607392d5

3,374

py

Python

actions/postpone.py

dmakeienko/remind_me_bot

54c49abe4dc7674c02cf01390fb6f1551e951b07

[ "Apache-2.0" ]

13

2020-01-19T18:27:29.000Z

2022-02-07T21:15:24.000Z

actions/postpone.py

dmakeienko/remind_me_bot

54c49abe4dc7674c02cf01390fb6f1551e951b07

[ "Apache-2.0" ]

14

2020-06-16T07:18:11.000Z

2020-07-10T09:04:24.000Z

actions/postpone.py

dmakeienko/remind_me_bot

54c49abe4dc7674c02cf01390fb6f1551e951b07

[ "Apache-2.0" ]

6

2019-12-18T05:23:36.000Z

2021-09-20T20:56:08.000Z

from db.database import _update_time, _get_last_remind from datetime import datetime, timedelta from utils.constants import DATETIME_FORMAT, HOUR def postpone(bot, update, args): user_chat_id = update.message.chat_id user_message = ' '.join(args).split(" ") postpone_timedelta = user_message[0] postpone_time = 0 try: if len(user_message) > 1: postpone_format = user_message[1] else: postpone_format = 'm' if postpone_format.lower() == 'h': postpone_time = int(postpone_timedelta) * HOUR elif postpone_format.lower() == 'm': postpone_time = int(postpone_timedelta) remind_id = _get_last_remind(user_chat_id)['id'] old_time = _get_last_remind(user_chat_id)['remind_time'] new_time = (datetime.strptime(old_time, DATETIME_FORMAT) + timedelta(minutes=postpone_time)).strftime(DATETIME_FORMAT) _update_time(user_chat_id, remind_id, new_time) bot.send_message(chat_id=update.message.chat_id, text=f"📌 Remind postponed for {str(timedelta(minutes=postpone_time))}") except ValueError: bot.send_message(chat_id=update.message.chat_id, text=f"Oops 😯, you forgot to specify postpone time!") except TypeError: bot.send_message(chat_id=update.message.chat_id, text=f"Sorry, there is no active remind to postpone😔") def postpone_30(bot, user_chat_id): postpone_timedelta = '30' postpone_time = 0 try: postpone_format = 'm' if postpone_format.lower() == 'h': postpone_time = int(postpone_timedelta) * HOUR elif postpone_format.lower() == 'm': postpone_time = int(postpone_timedelta) remind_id = _get_last_remind(user_chat_id)['id'] old_time = _get_last_remind(user_chat_id)['remind_time'] new_time = (datetime.strptime(old_time, DATETIME_FORMAT) + timedelta(minutes=postpone_time)).strftime(DATETIME_FORMAT) _update_time(user_chat_id, remind_id, new_time) bot.send_message(chat_id=user_chat_id, text=f"📌 Remind postponed for {str(timedelta(minutes=postpone_time))}") except ValueError: bot.send_message(chat_id=user_chat_id, text=f"Oops 😯, you forgot to specify postpone time!") except TypeError: bot.send_message(chat_id=user_chat_id, text=f"Sorry, there is no active remind to postpone😔") def postpone_1h(bot, user_chat_id): postpone_timedelta = '1' postpone_time = 0 try: postpone_format = 'h' if postpone_format.lower() == 'h': postpone_time = int(postpone_timedelta) * HOUR elif postpone_format.lower() == 'm': postpone_time = int(postpone_timedelta) remind_id = _get_last_remind(user_chat_id)['id'] old_time = _get_last_remind(user_chat_id)['remind_time'] new_time = (datetime.strptime(old_time, DATETIME_FORMAT) + timedelta(minutes=postpone_time)).strftime(DATETIME_FORMAT) _update_time(user_chat_id, remind_id, new_time) bot.send_message(chat_id=user_chat_id, text=f"📌 Remind postponed for {str(timedelta(minutes=postpone_time))}") except ValueError: bot.send_message(chat_id=user_chat_id, text=f"Oops 😯, you forgot to specify postpone time!") except TypeError: bot.send_message(chat_id=user_chat_id, text=f"Sorry, there is no active remind to postpone😔")

46.861111

128

0.696503

470

3,374

4.689362

0.138298

0.084392

0.08167

0.073503

0.876588

0.817151

0

0.004441

0.19917

3,374

71

129

47.521127

0.80792

0

0.709677

0

0.14997

0.034677

0

1

0.048387

false

0

0.048387

0

0.096774

0

null

0

1

0

1

0

null

0

7

b1ead9b6e35c20b386d4a1f486314f8b3f445b53

45

py

Python

Ultra Easy/second_element.py

dabockster/PythonExcercises

3fdf6f406e588d0e854abe57a684d2f639071586

[ "MIT" ]

1

2018-10-11T01:49:26.000Z

Ultra Easy/second_element.py

dabockster/PythonExcercises

3fdf6f406e588d0e854abe57a684d2f639071586

[ "MIT" ]

null

Ultra Easy/second_element.py

dabockster/PythonExcercises

3fdf6f406e588d0e854abe57a684d2f639071586

[ "MIT" ]

null

arr = [0,1,2,3,4,5,6,7,8,9,10] print(arr[1])

15

30

0.533333

15

45

1.6

0.866667

0

0.317073

0.088889

45

3

31

15

0.268293

0

1

0

false

0

0.5

1

null

0

1

0

1

0

1

0

null

0

1

0

7

591a874f66c91bfa443b56554370f73c4a680124

178

py

Python

nbmetalog/get_dataframe_short_digest.py

mmore500/nbmetalog

670f8ad76a587d8848c81e4f790c31c96402f8b0

[ "MIT" ]

null

nbmetalog/get_dataframe_short_digest.py

mmore500/nbmetalog

670f8ad76a587d8848c81e4f790c31c96402f8b0

[ "MIT" ]

1

2021-09-02T16:08:58.000Z

nbmetalog/get_dataframe_short_digest.py

mmore500/nbmetalog

670f8ad76a587d8848c81e4f790c31c96402f8b0

[ "MIT" ]

null

from . import _except_return_none from . import get_dataframe_full_digest @_except_return_none def get_dataframe_short_digest(df): return get_dataframe_full_digest(df)[:16]

25.428571

45

0.837079

27

178

4.962963

0.481481

0.268657

0.238806

0.328358

0

0.0125

0.101124

178

6

46

29.666667

0.825

0

1

0.2

false

0

0.4

0.2

0.8

0

1

0

null

1

0

1

0

null

0

1

0

8

a709e401158df0557ac6e8a69ec4c4d484bdee19

32,901

py

Python

great_international/migrations/0102_add_new_investment_sector_model.py

uktrade/directory-cms

8c8d13ce29ea74ddce7a40f3dd29c8847145d549

[ "MIT" ]

6

2018-03-20T11:19:07.000Z

2021-10-05T07:53:11.000Z

great_international/migrations/0102_add_new_investment_sector_model.py

uktrade/directory-cms

8c8d13ce29ea74ddce7a40f3dd29c8847145d549

[ "MIT" ]

802

2018-02-05T14:16:13.000Z

2022-02-10T10:59:21.000Z

great_international/migrations/0102_add_new_investment_sector_model.py

uktrade/directory-cms

8c8d13ce29ea74ddce7a40f3dd29c8847145d549

[ "MIT" ]

6

2019-01-22T13:19:37.000Z

2019-07-01T10:35:26.000Z

# Generated by Django 2.2.24 on 2021-09-07 10:07 import core.model_fields from django.db import migrations, models import django.db.models.deletion import great_international.blocks.great_international import great_international.panels.great_international import modelcluster.fields import wagtail.core.blocks import wagtail.core.fields import wagtail.images.blocks class Migration(migrations.Migration): dependencies = [ ('wagtailimages', '0022_uploadedimage'), ('wagtailcore', '0059_apply_collection_ordering'), ('export_readiness', '0075_auto_20200518_1253'), ('great_international', '0101_remove_limit_on_atlas_landing_page_block_main_content'), ] operations = [ migrations.CreateModel( name='InternationalInvestmentSectorPage', fields=[ ('page_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='wagtailcore.Page')), ('service_name', models.CharField(choices=[('FIND_A_SUPPLIER', 'Find a Supplier'), ('EXPORT_READINESS', 'Export Readiness'), ('INVEST', 'Invest'), ('COMPONENTS', 'Components'), ('GREAT_INTERNATIONAL', 'Great International')], db_index=True, max_length=100, null=True)), ('uses_tree_based_routing', models.BooleanField(default=False, help_text="Allow this page's URL to be determined by its slug, and the slugs of its ancestors in the page tree.", verbose_name='tree-based routing enabled')), ('heading', models.CharField(max_length=255, verbose_name='Sector name')), ('heading_en_gb', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_de', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_ja', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_zh_hans', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_fr', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_es', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_pt', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('heading_ar', models.CharField(max_length=255, null=True, verbose_name='Sector name')), ('standfirst', models.TextField(blank=True, help_text='Displayed below the sector name')), ('standfirst_en_gb', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_de', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_ja', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_zh_hans', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_fr', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_es', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_pt', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('standfirst_ar', models.TextField(blank=True, help_text='Displayed below the sector name', null=True)), ('featured_description', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page')), ('featured_description_en_gb', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_de', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_ja', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_zh_hans', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_fr', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_es', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_pt', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('featured_description_ar', models.TextField(blank=True, help_text='This is the description shown when the sector is featured on another page', null=True)), ('intro_text', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_en_gb', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_de', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_ja', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_zh_hans', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_fr', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_es', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_pt', core.model_fields.MarkdownField(blank=True, null=True)), ('intro_text_ar', core.model_fields.MarkdownField(blank=True, null=True)), ('contact_name', models.CharField(blank=True, max_length=255)), ('contact_name_en_gb', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_de', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_ja', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_zh_hans', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_es', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_pt', models.CharField(blank=True, max_length=255, null=True)), ('contact_name_ar', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title', models.CharField(blank=True, max_length=255)), ('contact_job_title_en_gb', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_de', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_ja', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_zh_hans', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_fr', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_es', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_pt', models.CharField(blank=True, max_length=255, null=True)), ('contact_job_title_ar', models.CharField(blank=True, max_length=255, null=True)), ('contact_link', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_en_gb', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_de', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_ja', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_zh_hans', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_fr', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_es', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_pt', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_ar', models.URLField(blank=True, max_length=1500, null=True)), ('contact_link_button_preamble', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255)), ('contact_link_button_preamble_en_gb', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_de', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_ja', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_zh_hans', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_fr', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_es', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_pt', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_preamble_ar', models.CharField(blank=True, help_text='eg: "Contact the sector lead"', max_length=255, null=True)), ('contact_link_button_label', models.CharField(blank=True, max_length=255)), ('contact_link_button_label_en_gb', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_de', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_ja', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_zh_hans', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_fr', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_es', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_pt', models.CharField(blank=True, max_length=255, null=True)), ('contact_link_button_label_ar', models.CharField(blank=True, max_length=255, null=True)), ('related_opportunities_header', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255)), ('related_opportunities_header_en_gb', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_de', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_ja', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_zh_hans', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_fr', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_es', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_pt', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('related_opportunities_header_ar', models.CharField(blank=True, help_text='You may want to phrase this to suit the kind of opportunities being featured, if not automatic', max_length=255, null=True)), ('downpage_content', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_en_gb', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_de', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_ja', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_zh_hans', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_fr', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_es', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_pt', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('downpage_content_ar', wagtail.core.fields.StreamField([('content_section', wagtail.core.blocks.StructBlock([('content', wagtail.core.blocks.StreamBlock([('header', wagtail.core.blocks.CharBlock(max_length=255, required=False)), ('nested_content', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock(help_text='Use H3 headers or lower, not H2 or H1')), ('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))])), ('columns', wagtail.core.blocks.StreamBlock([('text', great_international.blocks.great_international.MarkdownBlock())], help_text='Smaller snippets of content'))], help_text='Smaller snippets of content', max_num=2, min_num=1))], required=False)), ('block_slug', wagtail.core.blocks.CharBlock(help_text="Only needed if special styling is involved: check with a developer. If in doubt, it's not needed", max_length=255, required=False))]))], blank=True, null=True)), ('early_opportunities', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_en_gb', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_de', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_ja', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_zh_hans', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_fr', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_es', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_pt', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('early_opportunities_ar', wagtail.core.fields.StreamField([('early_opportunity', wagtail.core.blocks.StructBlock([('image', wagtail.core.blocks.StructBlock([('image', wagtail.images.blocks.ImageChooserBlock(required=True)), ('image_alt', wagtail.core.blocks.CharBlock(max_length=255, required=True)), ('caption', wagtail.core.blocks.CharBlock(max_length=255, required=False))], blank=False)), ('text', great_international.blocks.great_international.MarkdownBlock(blank=False))]))], blank=True, null=True)), ('contact_avatar', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_ar', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_de', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_en_gb', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_es', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_fr', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_ja', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_pt', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('contact_avatar_zh_hans', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_ar', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_de', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_en_gb', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_es', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_fr', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_ja', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_pt', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('hero_image_zh_hans', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_ar', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_de', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_en_gb', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_es', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_fr', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_ja', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_pt', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('intro_image_zh_hans', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to='wagtailimages.Image')), ('manually_selected_related_opportunities', modelcluster.fields.ParentalManyToManyField(blank=True, help_text='Max 3 will be shown. If none is selected, three will be automatically chosen based on priority and/or most recently created', to='great_international.InvestmentOpportunityPage')), ('tags', modelcluster.fields.ParentalManyToManyField(blank=True, to='export_readiness.Tag')), ], options={ 'abstract': False, }, bases=(great_international.panels.great_international.InternationalInvestmentSectorPagePanels, 'wagtailcore.page'), ), ]

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596e3dc0802785542397f0d9d5b0b5879035c950

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Python

exapi/request_creators/binance/spot/trading/creator.py

astsu-dev/exapi

1ef39ccdd77e9ddb60ec6eaa16a2cc26e1ac3e12

[ "MIT" ]

null

exapi/request_creators/binance/spot/trading/creator.py

astsu-dev/exapi

1ef39ccdd77e9ddb60ec6eaa16a2cc26e1ac3e12

[ "MIT" ]

null

exapi/request_creators/binance/spot/trading/creator.py

astsu-dev/exapi

1ef39ccdd77e9ddb60ec6eaa16a2cc26e1ac3e12

[ "MIT" ]

null

"""Has binance trading request creator interface.""" from typing import Optional from yarl import URL from exapi.auth.binance import IBinanceAuth from exapi.request_creators.binance.spot.base import BinanceBaseSpotRequestCreator from exapi.request_creators.request import Request from exapi.requesters.typedefs import Params from exapi.typedefs.binance import (OrderResponseType, OrderSide, OrderType, TimeInForce) from exapi.utils.time import get_timestamp class BinanceSpotTradingRequestCreator(BinanceBaseSpotRequestCreator): """Has methods for creating requests to binance spot trading api.""" BASE_URL: str = BinanceBaseSpotRequestCreator.BASE_URL + "/api/v3" def __init__(self, auth: IBinanceAuth) -> None: self._auth = auth def create_order_request(self, test_order: bool, symbol: str, side: OrderSide, type: OrderType, time_in_force: Optional[TimeInForce] = None, quantity: Optional[str] = None, quote_order_qty: Optional[str] = None, price: Optional[str] = None, new_client_order_id: Optional[str] = None, stop_price: Optional[str] = None, iceberg_qty: Optional[str] = None, new_order_resp_type: Optional[OrderResponseType] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates request for order or test order endpoint. Args: test_order (bool): if True request for test order will be created. symbol (str) side (OrderSide) type (OrderType) time_in_force (Optional[TimeInForce], optional) quantity (Optional[str], optional) quote_order_qty (Optional[str], optional) price (Optional[str], optional) new_client_order_id (Optional[str], optional): A unique id among open orders. Automatically generated if not sent. stop_price (Optional[str], optional): Used with STOP_LOSS, STOP_LOSS_LIMIT, TAKE_PROFIT, and TAKE_PROFIT_LIMIT orders. iceberg_qty (Optional[str], optional): Used with LIMIT, STOP_LOSS_LIMIT, and TAKE_PROFIT_LIMIT to create an iceberg order. new_order_resp_type ([type], optional): Set the response JSON. ACK, RESULT, or FULL; MARKET and LIMIT order types default to FULL, all other orders default to ACK. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "POST" path = "/order/test" if test_order else "/order" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "symbol": symbol, "side": side, "type": type, "timestamp": str(timestamp) } if time_in_force is not None: params["timeInForce"] = time_in_force if quantity is not None: params["quantity"] = quantity if quote_order_qty is not None: params["quoteOrderQty"] = quote_order_qty if price is not None: params["price"] = price if new_client_order_id is not None: params["newClientOrderId"] = new_client_order_id if stop_price is not None: params["stopPrice"] = stop_price if iceberg_qty is not None: params["icebergQty"] = iceberg_qty if new_order_resp_type is not None: params["newOrderRespType"] = new_order_resp_type if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_new_test_order_request(self, symbol: str, side: OrderSide, type: OrderType, time_in_force: Optional[TimeInForce] = None, quantity: Optional[str] = None, quote_order_qty: Optional[str] = None, price: Optional[str] = None, new_client_order_id: Optional[str] = None, stop_price: Optional[str] = None, iceberg_qty: Optional[str] = None, new_order_resp_type: Optional[OrderResponseType] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates new test order request. Args: symbol (str) side (OrderSide) type (OrderType) time_in_force (Optional[TimeInForce], optional) quantity (Optional[str], optional) quote_order_qty (Optional[str], optional) price (Optional[str], optional) new_client_order_id (Optional[str], optional): A unique id among open orders. Automatically generated if not sent. stop_price (Optional[str], optional): Used with STOP_LOSS, STOP_LOSS_LIMIT, TAKE_PROFIT, and TAKE_PROFIT_LIMIT orders. iceberg_qty (Optional[str], optional): Used with LIMIT, STOP_LOSS_LIMIT, and TAKE_PROFIT_LIMIT to create an iceberg order. new_order_resp_type ([type], optional): Set the response JSON. ACK, RESULT, or FULL; MARKET and LIMIT order types default to FULL, all other orders default to ACK. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ return self.create_order_request( test_order=True, symbol=symbol, side=side, type=type, timestamp=timestamp, time_in_force=time_in_force, quantity=quantity, quote_order_qty=quote_order_qty, price=price, new_client_order_id=new_client_order_id, stop_price=stop_price, iceberg_qty=iceberg_qty, new_order_resp_type=new_order_resp_type, recv_window=recv_window) def create_new_order_request(self, symbol: str, side: OrderSide, type: OrderType, time_in_force: Optional[TimeInForce] = None, quantity: Optional[str] = None, quote_order_qty: Optional[str] = None, price: Optional[str] = None, new_client_order_id: Optional[str] = None, stop_price: Optional[str] = None, iceberg_qty: Optional[str] = None, new_order_resp_type: Optional[OrderResponseType] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates new test order request. Args: symbol (str) side (OrderSide) type (OrderType) time_in_force (Optional[TimeInForce], optional) quantity (Optional[str], optional) quote_order_qty (Optional[str], optional) price (Optional[str], optional) new_client_order_id (Optional[str], optional): A unique id among open orders. Automatically generated if not sent. stop_price (Optional[str], optional): Used with STOP_LOSS, STOP_LOSS_LIMIT, TAKE_PROFIT, and TAKE_PROFIT_LIMIT orders. iceberg_qty (Optional[str], optional): Used with LIMIT, STOP_LOSS_LIMIT, and TAKE_PROFIT_LIMIT to create an iceberg order. new_order_resp_type ([type], optional): Set the response JSON. ACK, RESULT, or FULL; MARKET and LIMIT order types default to FULL, all other orders default to ACK. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ return self.create_order_request( test_order=False, symbol=symbol, side=side, type=type, timestamp=timestamp, time_in_force=time_in_force, quantity=quantity, quote_order_qty=quote_order_qty, price=price, new_client_order_id=new_client_order_id, stop_price=stop_price, iceberg_qty=iceberg_qty, new_order_resp_type=new_order_resp_type, recv_window=recv_window) def create_cancel_order_request(self, symbol: str, order_id: Optional[int] = None, orig_client_order_id: Optional[str] = None, new_client_order_id: Optional[str] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates cancel order request. Args: symbol (str) order_id (Optional[int], optional) orig_client_order_id (Optional[str], optional) new_client_order_id (Optional[str], optional): Used to uniquely identify this cancel. Automatically generated by default. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "DELETE" path = "/order" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "symbol": symbol, "timestamp": str(timestamp) } if order_id is not None: params["orderId"] = str(order_id) if orig_client_order_id is not None: params["origClientOrderId"] = orig_client_order_id if new_client_order_id is not None: params["newClientOrderId"] = new_client_order_id if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_cancel_orders_request(self, symbol: str, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates cancel all orders request. Args: symbol (str) recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "DELETE" path = "/openOrders" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "symbol": symbol, "timestamp": str(timestamp) } if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_query_order_request(self, symbol: str, order_id: Optional[int] = None, orig_client_order_id: Optional[str] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates query order request. Args: symbol (str) order_id (Optional[int], optional) orig_client_order_id (Optional[str], optional) recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "GET" path = "/order" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "symbol": symbol, "timestamp": str(timestamp) } if order_id is not None: params["orderId"] = str(order_id) if orig_client_order_id is not None: params["origClientOrderId"] = orig_client_order_id if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_get_current_open_orders_request(self, symbol: Optional[str] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates get current open orders request. Args: symbol (Optional[str], optional): If the symbol is not sent, orders for all symbols will be returned in an array. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "GET" path = "/openOrders" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "timestamp": str(timestamp) } if symbol is not None: params["symbol"] = symbol if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_get_all_orders_request(self, symbol: str, order_id: Optional[int] = None, start_time: Optional[int] = None, end_time: Optional[int] = None, limit: Optional[int] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates get all orders request. Args: symbol (str) order_id (Optional[int], optional) start_time (Optional[int], optional) end_time (Optional[int], optional) limit (Optional[int], optional): Default 500; max 1000. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "GET" path = "/allOrders" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "symbol": symbol, "timestamp": str(timestamp) } if order_id is not None: params["orderId"] = str(order_id) if start_time is not None: params["startTime"] = str(start_time) if end_time is not None: params["endTime"] = str(end_time) if limit is not None: params["limit"] = str(limit) if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_get_account_info_request(self, recv_window: Optional[int] = None, timestamp: Optional[int] = None, ) -> Request: """Creates get account info request. Args: recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "GET" path = "/account" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "timestamp": str(timestamp) } if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req def create_get_trades_request(self, symbol: str, start_time: Optional[int] = None, end_time: Optional[int] = None, from_id: Optional[int] = None, limit: Optional[int] = None, recv_window: Optional[int] = None, timestamp: Optional[int] = None ) -> Request: """Creates get account trades request. Args: symbol (str) start_time (Optional[int], optional) end_time (Optional[int], optional) from_id (Optional[int], optional): trade id to fetch from. Default gets most recent trades. limit (Optional[int], optional): Default 500; max 1000. recv_window (Optional[int], optional): The value cannot be greater than 60000. timestamp (Optional[int]): if None current timestamp in milliseconds will be used. Returns: Request """ method = "GET" path = "/myTrades" url = URL(self._create_url(path)) timestamp = timestamp if timestamp is not None else get_timestamp() params: Params = { "symbol": symbol, "timestamp": str(timestamp) } if start_time is not None: params["startTime"] = str(start_time) if end_time is not None: params["endTime"] = str(end_time) if from_id is not None: params["fromId"] = str(from_id) if limit is not None: params["limit"] = str(limit) if recv_window is not None: params["recvWindow"] = str(recv_window) auth_res = self._auth.sign(params) url = url.with_query(auth_res.params) req = Request(method=method, url=url, headers=auth_res.headers) return req

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py

Python

vkwave/bots/core/dispatching/extensions/callback/__init__.py

krasnovmv/vkwave

e0db86cc16f97797765aadfb811ec87ff7945b1f

[ "MIT" ]

222

2020-03-30T18:09:20.000Z

2022-03-27T18:25:04.000Z

vkwave/bots/core/dispatching/extensions/callback/__init__.py

krasnovmv/vkwave

e0db86cc16f97797765aadfb811ec87ff7945b1f

[ "MIT" ]

62

2020-03-30T18:31:25.000Z

2021-12-21T17:00:44.000Z

vkwave/bots/core/dispatching/extensions/callback/__init__.py

krasnovmv/vkwave

e0db86cc16f97797765aadfb811ec87ff7945b1f

[ "MIT" ]

91

2020-03-30T18:34:49.000Z

2022-03-23T12:58:49.000Z

from ._aiohttp import AIOHTTPCallbackExtension

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59a85f1a58f8c6f217bb247a9651a39dba0eb4ba

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py

Python

source/lib/probe.py

WinterWinds-Robotics/pymmw

3e2841f24a6cd98ccbee10a0ee7479f394417708

[ "MIT" ]

144

2019-06-10T03:03:31.000Z

2022-03-25T09:33:41.000Z

source/lib/probe.py

WinterWinds-Robotics/pymmw

3e2841f24a6cd98ccbee10a0ee7479f394417708

[ "MIT" ]

15

2019-12-11T00:03:04.000Z

2022-03-21T15:12:28.000Z

source/lib/probe.py

WinterWinds-Robotics/pymmw

3e2841f24a6cd98ccbee10a0ee7479f394417708

[ "MIT" ]

51

2019-06-11T14:12:29.000Z

2022-03-28T08:38:06.000Z

# # Copyright (c) 2019, Manfred Constapel # This file is licensed under the terms of the MIT license. # # # xds110 support # import sys import time import array from lib.ports import * from lib.utility import * from lib.shell import * # ------------------------------------------ XDS_USB = (0x0451, 0xbef3) # ------------------------------------------ def xds_reset(dev, delay=100): #_ = {0:'CDC Communication', # 1:'CDC Data', 2:'Vendor Specific', 3:'CDC Communication', # 4:'CDC Data', 5:'Human Interface Device', 6:'Vendor Specific'} ep = usb_point(dev, 2, 2) if ep is None: return False for v in ('00', '01') * 2: ep.write(hex2dec('{} {} {} {}'.format('2a', '02', '00', '0e {}'.format(v)))) time.sleep(delay / 1000) return True # ------------------------------------------ __scan_test__ = ( '2a 01 00 01', '2a 01 00 03', '2a 05 00 04 00 00 00 00', '2a 01 00 06', '2a 02 00 05 00', '2a 05 00 07 88 13 00 00', '2a 02 00 05 01', '2a 05 00 07 a0 86 01 00', '2a 05 00 2b 01 00 00 00', '2a 01 00 06', '2a 02 00 05 00', '2a 05 00 07 88 13 00 00', '2a 02 00 05 01', '2a 05 00 07 a0 86 01 00', '2a 09 00 09 01 00 00 00 01 00 00 00', '2a 01 00 1a', '2a 01 00 2f', '2a 01 00 02', '2a 01 00 01', '2a 01 00 03', '2a 05 00 04 00 00 00 00', '2a 01 00 06', '2a 02 00 05 00', '2a 05 00 07 88 13 00 00', '2a 02 00 05 01', '2a 05 00 07 a0 86 01 00', '2a 05 00 2b 01 00 00 00', '2a 10 00 0a 00 08 04 01 06 01 00 00 00 00 00 00 01 00 01', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('ff ff ff ff',)*4*16)), '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('00 00 00 00',)*4*16)), '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('00 00 00 00',)*4*16)), '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('ff ff ff ff',)*4*16)), '2a 10 00 0a 00 08 03 01 05 01 00 00 00 00 00 00 01 00 01', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('ff ff ff ff',)*4*16)), '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('00 00 00 00',)*4*16)), '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('00 00 00 00',)*4*16)), '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('ff ff ff ff',)*4*16)), '2a 15 00 0b 20 00 04 01 06 01 00 00 00 00 00 00 01 00 04 00 ff ff ff ff', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('ff ff ff ff',)*4*16)), '2a 15 00 0b 20 00 04 01 06 01 00 00 00 00 00 00 01 00 04 00 00 00 00 00', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('00 00 00 00',)*4*16)), '2a 15 00 0b 20 00 04 01 06 01 00 00 00 00 00 00 01 00 04 00 e2 e0 03 fe', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('e2 e0 03 fe',)*4*16)), '2a 15 00 0b 20 00 04 01 06 01 00 00 00 00 00 00 01 00 04 00 1d 1f fc 01', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('1d 1f fc 01',)*4*16)), '2a 15 00 0b 20 00 04 01 06 01 00 00 00 00 00 00 01 00 04 00 aa cc 33 55', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('aa cc 33 55',)*4*16)), '2a 15 00 0b 20 00 04 01 06 01 00 00 00 00 00 00 01 00 04 00 55 33 cc aa', '2a 13 01 0c 00 08 04 01 06 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('55 33 cc aa',)*4*16)), '2a 10 00 0a 00 08 04 01 06 01 00 00 00 00 00 00 01 00 01', '2a 01 00 08', '2a 09 00 09 05 00 00 00 02 00 00 00', '2a 15 00 0b 20 00 03 01 05 01 00 00 00 00 00 00 01 00 04 00 ff ff ff ff', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('ff ff ff ff',)*4*16)), '2a 15 00 0b 20 00 03 01 05 01 00 00 00 00 00 00 01 00 04 00 00 00 00 00', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('00 00 00 00',)*4*16)), '2a 15 00 0b 20 00 03 01 05 01 00 00 00 00 00 00 01 00 04 00 e2 e0 03 fe', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('e2 e0 03 fe',)*4*16)), '2a 15 00 0b 20 00 03 01 05 01 00 00 00 00 00 00 01 00 04 00 1d 1f fc 01', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('1d 1f fc 01',)*4*16)), '2a 15 00 0b 20 00 03 01 05 01 00 00 00 00 00 00 01 00 04 00 aa cc 33 55', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('aa cc 33 55',)*4*16)), '2a 15 00 0b 20 00 03 01 05 01 00 00 00 00 00 00 01 00 04 00 55 33 cc aa', '2a 13 01 0c 00 08 03 01 05 01 00 00 00 00 00 00 01 00 00 01 00 01 {}'.format(' '.join(('55 33 cc aa',)*4*16)), '2a 01 00 1a', '2a 01 00 2f', '2a 01 00 02' ) # ------------------------------------------ def xds_test(dev, reset=True): if reset: xds_reset(dev) ep2o = usb_point(dev, 2, 2) ep2i = usb_point(dev, 2, 3) _ = dev.read(ep2i.bEndpointAddress, 1024) def send(epo, msg, epi=None): _ = epo.write(hex2dec(msg)) if epi is not None: buf = dev.read(epi.bEndpointAddress, 1024) return buf return None def collect(v): res = send(ep2o, v, ep2i) if res is not None: if len(res) > 21: res = set(res[8:]) if len(res) % 3 != 1: # super-lazy check return False return True for entry in __scan_test__: if not collect(entry): raise Exception('integrity scan-test on the JTAG DR/IR has failed')

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11

ab7a797149c69e509799ce529a57a9f5aadedcf2

4,821

py

Python

config.py

guoxianru/proxy_pool_lite

f9d48cb03ed3bf923610203ba8c026794eadc307

[ "Apache-2.0" ]

null

config.py

guoxianru/proxy_pool_lite

f9d48cb03ed3bf923610203ba8c026794eadc307

[ "Apache-2.0" ]

null

config.py

guoxianru/proxy_pool_lite

f9d48cb03ed3bf923610203ba8c026794eadc307

[ "Apache-2.0" ]

1

2021-08-25T05:48:06.000Z

# -*- coding: utf-8 -*- # @Author: GXR # @CreateTime: 2021-04-01 # @UpdateTime: 2021-12-10 # 代理池Redis设置 REDIS_HOST = "redis" REDIS_PORT = "6379" REDIS_DB = "0" # 代理池Redis-key REDIS_KEY_PROXY_FREE = "proxy_free" REDIS_KEY_PROXY_USEFUL = "proxy_useful" # 代理池检查线程数 THREAD_COUNT_PROXY_CHECK = 10 # 代理池刷新线程数 THREAD_COUNT_PROXY_REFRESH = 5 # 获取新代理时间周期 TIME_GET = 1 # 检查新代理时间周期 TIME_CHECK = 2 # 刷新可用代理时间周期 TIME_REFRESH = 3 # 代理池API设置 API_HOST = "0.0.0.0" API_PORT = "31605" # 测试代理网站 PROXY_CHECK_URL = "https://www.baidu.com/" # 通用请求头 HEADERS = { "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36", "Cache-Control": "no-cache", "Pragma": "no-cache", } # USER_AGENT池 USER_AGENT_LIST = [ # Windows：Chrome "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.35 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.43 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.19 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.24 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.23 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.22 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.87 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.30 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.39 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.69 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.16 Safari/537.36", # Mac：Chrome "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.35 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.69 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.43 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.19 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.24 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.23 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.22 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.87 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.30 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.39 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.69 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.16 Safari/537.36", ]

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abacc73a6cd855145705390674cb931a47256f49

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py

Python

hello-world-veronika-cj.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

2

2018-09-28T18:46:05.000Z

2018-09-28T19:00:27.000Z

hello-world-veronika-cj.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

67

2018-09-26T06:39:43.000Z

2018-10-03T15:32:12.000Z

hello-world-veronika-cj.py

egriswol/astr-119-section-assignments

6cbeb0397b6a1a9102e8efa771e8d9ed1d3fab18

[ "MIT" ]

62

2018-09-27T20:12:32.000Z

2018-10-03T23:53:47.000Z

#!/usr/bin/env python3 #This program will write: #Hello from Veronika Cabalova Joseph. print("Hello from Veronika Cabalova Joseph.")

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abdd8acfdc5c5e885c6182c8ee575267b1c7f555

118

py

Python

optimtool/constrain/__init__.py

linjing-lab/optimtool

9ca298b91ba755b4dab4028879af2c5a06c2e6d6

[ "MIT" ]

3

2022-01-24T14:16:07.000Z

2022-02-18T20:02:50.000Z

optimtool/constrain/__init__.py

linjing-lab/optimtool

9ca298b91ba755b4dab4028879af2c5a06c2e6d6

[ "MIT" ]

null

optimtool/constrain/__init__.py

linjing-lab/optimtool

9ca298b91ba755b4dab4028879af2c5a06c2e6d6

[ "MIT" ]

null

from optimtool.constrain import equal from optimtool.constrain import unequal from optimtool.constrain import mixequal

39.333333

40

0.881356

15

118

6.933333

0.466667

0.375

0.634615

0.807692

0

0.09322

118

3

40

39.333333

0.971963

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

abf60e3a73f1b0c49155a95da368acff6204ed11

3,455

py

Python

day2.py

fredericmorin/adventofcode2017

460e804e2ef9c9e5e60b6dadb686f0896b3b16e5

[ "MIT" ]

null

day2.py

fredericmorin/adventofcode2017

460e804e2ef9c9e5e60b6dadb686f0896b3b16e5

[ "MIT" ]

null

day2.py

fredericmorin/adventofcode2017

460e804e2ef9c9e5e60b6dadb686f0896b3b16e5

[ "MIT" ]

null

def solve(input): lines = [] for line in input.split('\n'): elems = map(int, line.split('\t')) lines.append(elems) # print lines checksum = 0 for line in lines: mi = ma = line[0] for elem in line: mi = min(mi, elem) ma = max(ma, elem) checksum += ma - mi return checksum sample_input = ( '5 1 9 5\n' '7 5 3\n' '2 4 6 8' ) assert 18 == solve(sample_input) puzzle_input = ( '104 240 147 246 123 175 372 71 116 230 260 118 202 270 277 292\n' '740 755 135 205 429 822 844 90 828 115 440 805 526 91 519 373\n' '1630 991 1471 1294 52 1566 50 1508 1367 1489 55 547 342 512 323 51\n' '1356 178 1705 119 1609 1409 245 292 1434 694 405 1692 247 193 1482 1407\n' '2235 3321 3647 212 1402 3711 3641 1287 2725 692 1235 3100 123 144 104 101\n' '1306 1224 1238 186 751 734 1204 1275 366 149 1114 166 1118 239 153 943\n' '132 1547 1564 512 2643 2376 2324 2159 1658 107 1604 145 2407 131 2073 1878\n' '1845 91 1662 108 92 1706 1815 1797 1728 1150 1576 83 97 547 1267 261\n' '78 558 419 435 565 107 638 173 93 580 338 52 633 256 377 73\n' '1143 3516 4205 3523 148 401 3996 3588 300 1117 2915 1649 135 134 182 267\n' '156 2760 1816 2442 2985 990 2598 1273 167 821 138 141 2761 2399 1330 1276\n' '3746 3979 2989 161 4554 156 3359 173 3319 192 3707 264 762 2672 4423 2924\n' '3098 4309 4971 5439 131 171 5544 595 154 571 4399 4294 160 6201 4329 5244\n' '728 249 1728 305 2407 239 691 2241 2545 1543 55 2303 1020 753 193 1638\n' '260 352 190 877 118 77 1065 1105 1085 1032 71 87 851 56 1161 667\n' '1763 464 182 1932 1209 640 545 931 1979 197 1774 174 2074 1800 939 161' ) print solve(puzzle_input) def solve2(input): lines = [] for line in input.split('\n'): elems = map(int, line.split('\t')) lines.append(elems) # print lines from itertools import permutations checksum = 0 for line in lines: # print line for tup in permutations(line, 2): quotient = tup[0] / float(tup[1]) if quotient == int(quotient): # print 'found %s' % str(tup) checksum += int(quotient) return checksum sample_input = ( '5 9 2 8\n' '9 4 7 3\n' '3 8 6 5' ) assert 9 == solve2(sample_input) puzzle_input = ( '104 240 147 246 123 175 372 71 116 230 260 118 202 270 277 292\n' '740 755 135 205 429 822 844 90 828 115 440 805 526 91 519 373\n' '1630 991 1471 1294 52 1566 50 1508 1367 1489 55 547 342 512 323 51\n' '1356 178 1705 119 1609 1409 245 292 1434 694 405 1692 247 193 1482 1407\n' '2235 3321 3647 212 1402 3711 3641 1287 2725 692 1235 3100 123 144 104 101\n' '1306 1224 1238 186 751 734 1204 1275 366 149 1114 166 1118 239 153 943\n' '132 1547 1564 512 2643 2376 2324 2159 1658 107 1604 145 2407 131 2073 1878\n' '1845 91 1662 108 92 1706 1815 1797 1728 1150 1576 83 97 547 1267 261\n' '78 558 419 435 565 107 638 173 93 580 338 52 633 256 377 73\n' '1143 3516 4205 3523 148 401 3996 3588 300 1117 2915 1649 135 134 182 267\n' '156 2760 1816 2442 2985 990 2598 1273 167 821 138 141 2761 2399 1330 1276\n' '3746 3979 2989 161 4554 156 3359 173 3319 192 3707 264 762 2672 4423 2924\n' '3098 4309 4971 5439 131 171 5544 595 154 571 4399 4294 160 6201 4329 5244\n' '728 249 1728 305 2407 239 691 2241 2545 1543 55 2303 1020 753 193 1638\n' '260 352 190 877 118 77 1065 1105 1085 1032 71 87 851 56 1161 667\n' '1763 464 182 1932 1209 640 545 931 1979 197 1774 174 2074 1800 939 161' ) print solve2(puzzle_input)

37.967033

80

0.683647

702

3,455

3.353276

0.401709

0.011895

0.015293

0.014444

0.872557

0.850467

0.830926

0

0.67449

0.247757

3,455

90

81

38.388889

0.231243

0.017945

0

0.657895

0

0.701637

0

0.026316

0

null

0

0.013158

null

0.026316

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

10

e64e907824de8ffeada773c15b39da729d294891

118

py

Python

apps/users/models/__init__.py

Sult/daf

a4da9e8c96f70577e2490c05e82bdf7d0de1a563

[ "MIT" ]

null

apps/users/models/__init__.py

Sult/daf

a4da9e8c96f70577e2490c05e82bdf7d0de1a563

[ "MIT" ]

null

apps/users/models/__init__.py

Sult/daf

a4da9e8c96f70577e2490c05e82bdf7d0de1a563

[ "MIT" ]

null

from apps.users.models.contact import * from apps.users.models.users import * import apps.users.models.user_functions

29.5

39

0.822034

18

118

5.333333

0.444444

0.28125

0.46875

0.395833

0

0.084746

118

3

40

39.333333

0.888889

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

053745c38729917a7a4c7d432ad75a5f646ebb67

19,239

py

Python

tests/test_listing.py

countermeasure/entomb

4eba79a66ca8d01ccd634f9d74928cb061b5efdb

[ "MIT" ]

null

tests/test_listing.py

countermeasure/entomb

4eba79a66ca8d01ccd634f9d74928cb061b5efdb

[ "MIT" ]

null

tests/test_listing.py

countermeasure/entomb

4eba79a66ca8d01ccd634f9d74928cb061b5efdb

[ "MIT" ]

null

import unittest import unittest.mock as mock import entomb.listing as listing from tests import ( constants, helpers, ) class TestListing(unittest.TestCase): """Tests for the listing module. """ def setUp(self): """Create temporary directories and files. """ helpers.set_up() def test_list_files(self): """Test the list_files function. """ # Test immutable files excluding git. with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.DIRECTORY_PATH, immutable=True, include_git=False, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List immutable files"), mock.call(), mock.call("Immutable files"), mock.call("---------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/immutable.txt"), mock.call("\033[K", end=""), mock.call( "█████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 12.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "██████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 25.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "███████████████░░░░░░░░░░░░░░░░░░░░░░░░░ 37.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████░░░░░░░░░░░░░░░░░░░░ 50.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "█████████████████████████░░░░░░░░░░░░░░░ 62.5%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/subdirectory/immutable.txt"), mock.call("\033[K", end=""), mock.call( "██████████████████████████████░░░░░░░░░░ 75.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "███████████████████████████████████░░░░░ 87.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("6 files were examined"), mock.call("2 files are immutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) # Test immutable files including git. with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.DIRECTORY_PATH, immutable=True, include_git=True, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List immutable files"), mock.call(), mock.call("Immutable files"), mock.call("---------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/immutable.txt"), mock.call("\033[K", end=""), mock.call( "████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 10.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 20.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 30.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████░░░░░░░░░░░░░░░░░░░░░░░░ 40.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████░░░░░░░░░░░░░░░░░░░░ 50.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████░░░░░░░░░░░░░░░░ 60.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████░░░░░░░░░░░░ 70.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/subdirectory/immutable.txt"), mock.call("\033[K", end=""), mock.call( "████████████████████████████████░░░░░░░░ 80.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████░░░░ 90.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("8 files were examined"), mock.call("2 files are immutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) # Test mutable files excluding git. with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.DIRECTORY_PATH, immutable=False, include_git=False, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List mutable files"), mock.call(), mock.call("Mutable files"), mock.call("-------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "█████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 12.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "██████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 25.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/mutable.txt"), mock.call("\033[K", end=""), mock.call( "███████████████░░░░░░░░░░░░░░░░░░░░░░░░░ 37.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████░░░░░░░░░░░░░░░░░░░░ 50.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "█████████████████████████░░░░░░░░░░░░░░░ 62.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "██████████████████████████████░░░░░░░░░░ 75.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "███████████████████████████████████░░░░░ 87.5%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/subdirectory/mutable.txt"), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("6 files were examined"), mock.call("2 files are mutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) # Test mutable files including git. with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.DIRECTORY_PATH, immutable=False, include_git=True, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List mutable files"), mock.call(), mock.call("Mutable files"), mock.call("-------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 10.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 20.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/mutable.txt"), mock.call("\033[K", end=""), mock.call( "████████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 30.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████░░░░░░░░░░░░░░░░░░░░░░░░ 40.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████░░░░░░░░░░░░░░░░░░░░ 50.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/.git/mutable.txt"), mock.call("\033[K", end=""), mock.call( "████████████████████████░░░░░░░░░░░░░░░░ 60.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/.git/subdirectory/mutable.txt"), mock.call("\033[K", end=""), mock.call( "████████████████████████████░░░░░░░░░░░░ 70.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████░░░░░░░░ 80.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████░░░░ 90.0%", end="\r", ), mock.call("\033[K", end=""), mock.call("/tmp/entomb_testing/subdirectory/mutable.txt"), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("8 files were examined"), mock.call("4 files are mutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) # Test mutable files excluding git after making all files immutable. helpers.set_file_immutable_attribute( constants.GIT_SUBDIRECTORY_MUTABLE_FILE_PATH, immutable=True, ) helpers.set_file_immutable_attribute( constants.MUTABLE_FILE_PATH, immutable=True, ) helpers.set_file_immutable_attribute( constants.SUBDIRECTORY_MUTABLE_FILE_PATH, immutable=True, ) with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.DIRECTORY_PATH, immutable=False, include_git=False, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List mutable files"), mock.call(), mock.call("Mutable files"), mock.call("-------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "█████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 12.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "██████████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 25.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "███████████████░░░░░░░░░░░░░░░░░░░░░░░░░ 37.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████░░░░░░░░░░░░░░░░░░░░ 50.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "█████████████████████████░░░░░░░░░░░░░░░ 62.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "██████████████████████████████░░░░░░░░░░ 75.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "███████████████████████████████████░░░░░ 87.5%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call("-"), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("6 files were examined"), mock.call("0 files are mutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) # Test for a non-existent path. with self.assertRaises(AssertionError): listing.list_files( constants.NON_EXISTENT_PATH, immutable=False, include_git=False, ) # Test a named pipe. with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.NAMED_PIPE_PATH, immutable=False, include_git=True, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List mutable files"), mock.call(), mock.call("Mutable files"), mock.call("-------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call("-"), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("1 files were examined"), mock.call("0 files are mutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) # Test a file which is readable only by root. with mock.patch("builtins.print") as mocked_print: listing.list_files( constants.READABLE_BY_ROOT_FILE_PATH, immutable=True, include_git=False, ) expected = [ mock.call("\033[?25l", end=""), mock.call("List immutable files"), mock.call(), mock.call("Immutable files"), mock.call("---------------"), mock.call("Counting file paths: 0", end="\r"), mock.call("\033[K", end=""), mock.call("\033[K", end=""), mock.call( "░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0.0%", end="\r", ), mock.call("\033[K", end=""), mock.call( "████████████████████████████████████████", end="\r", ), mock.call("\033[K", end=""), mock.call("-"), mock.call(), mock.call("Summary"), mock.call("-------"), mock.call("1 files were examined"), mock.call("0 files are immutable"), mock.call(), mock.call("\033[?25h", end=""), ] self.assertEqual(mocked_print.mock_calls, expected) def test__print_the_path(self): """Test the _print_the_path function. """ self.assertTrue( listing._print_the_path( constants.IMMUTABLE_FILE_PATH, immutable=True, ), ) self.assertFalse( listing._print_the_path( constants.IMMUTABLE_FILE_PATH, immutable=False, ), ) self.assertFalse( listing._print_the_path( constants.MUTABLE_FILE_PATH, immutable=True, ), ) self.assertTrue( listing._print_the_path( constants.MUTABLE_FILE_PATH, immutable=False, ), ) with self.assertRaises(AssertionError): listing._print_the_path( constants.NON_EXISTENT_PATH, immutable=True, ) with self.assertRaises(AssertionError): listing._print_the_path(constants.DIRECTORY_PATH, immutable=False) with self.assertRaises(AssertionError): listing._print_the_path(constants.LINK_PATH, immutable=True) def tearDown(self): """Delete temporary directories and files. """ helpers.tear_down()

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054c023ad1c078a248aabd3e51d5f14ba152a83d

76

py

Python

plugins/python/container/fn/__init__.py

proglang/servercodetest

f0acd5940a22be9a72a95494afb308bb3017ea64

[ "MIT" ]

null

plugins/python/container/fn/__init__.py

proglang/servercodetest

f0acd5940a22be9a72a95494afb308bb3017ea64

[ "MIT" ]

2

2020-06-05T16:24:37.000Z

2020-11-15T09:02:48.000Z

plugins/python/container/fn/__init__.py

proglang/servercodetest

f0acd5940a22be9a72a95494afb308bb3017ea64

[ "MIT" ]

1

2020-10-22T05:46:52.000Z

from .execute import run as run_execute from .radon import run as run_radon

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py

Python

plugins/carbon_black_cloud/icon_carbon_black_cloud/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/carbon_black_cloud/icon_carbon_black_cloud/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/carbon_black_cloud/icon_carbon_black_cloud/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

# GENERATED BY KOMAND SDK - DO NOT EDIT from .get_agent_details.action import GetAgentDetails from .quarantine.action import Quarantine

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7

55abfa40e77238bdced81ca1c74f32570570d0fa

5,554

py

Python

torpido/wavelet/wavelets/db20.py

AP-Atul/Torpido

a646b4d6de7f2e2c96de4c64ce3113f53e3931c2

[ "Unlicense" ]

21

2020-12-23T07:13:10.000Z

2022-01-12T10:32:22.000Z

wavelet/wavelets/db20.py

AP-Atul/wavelets-ext

00ced22462c369584ebd32f9b5f357f092de0142

[ "MIT" ]

2

2020-12-30T10:45:42.000Z

2021-09-25T09:52:00.000Z

wavelet/wavelets/db20.py

AP-Atul/wavelets-ext

00ced22462c369584ebd32f9b5f357f092de0142

[ "MIT" ]

1

2021-02-06T21:39:41.000Z

""" Daubechies 20 wavelet """ class Daubechies20: """ Properties ---------- asymmetric, orthogonal, bi-orthogonal All values are from http://wavelets.pybytes.com/wavelet/db20/ """ __name__ = "Daubechies Wavelet 20" __motherWaveletLength__ = 40 # length of the mother wavelet __transformWaveletLength__ = 2 # minimum wavelength of input signal # decomposition filter # low-pass decompositionLowFilter = [ -2.998836489615753e-10, 4.05612705554717e-09, -1.814843248297622e-08, 2.0143220235374613e-10, 2.633924226266962e-07, -6.847079596993149e-07, -1.0119940100181473e-06, 7.241248287663791e-06, -4.376143862182197e-06, -3.710586183390615e-05, 6.774280828373048e-05, 0.00010153288973669777, -0.0003851047486990061, -5.349759844340453e-05, 0.0013925596193045254, -0.0008315621728772474, -0.003581494259744107, 0.00442054238676635, 0.0067216273018096935, -0.013810526137727442, -0.008789324924555765, 0.03229429953011916, 0.0058746818113949465, -0.061722899624668884, 0.005632246857685454, 0.10229171917513397, -0.024716827337521424, -0.1554587507060453, 0.039850246458519104, 0.22829105082013823, -0.016727088308801888, -0.3267868004335376, -0.13921208801128787, 0.36150229873889705, 0.6104932389378558, 0.4726961853103315, 0.21994211355113222, 0.06342378045900529, 0.010549394624937735, 0.0007799536136659112 ] # high-pass decompositionHighFilter = [ -0.0007799536136659112, 0.010549394624937735, -0.06342378045900529, 0.21994211355113222, -0.4726961853103315, 0.6104932389378558, -0.36150229873889705, -0.13921208801128787, 0.3267868004335376, -0.016727088308801888, -0.22829105082013823, 0.039850246458519104, 0.1554587507060453, -0.024716827337521424, -0.10229171917513397, 0.005632246857685454, 0.061722899624668884, 0.0058746818113949465, -0.03229429953011916, -0.008789324924555765, 0.013810526137727442, 0.0067216273018096935, -0.00442054238676635, -0.003581494259744107, 0.0008315621728772474, 0.0013925596193045254, 5.349759844340453e-05, -0.0003851047486990061, -0.00010153288973669777, 6.774280828373048e-05, 3.710586183390615e-05, -4.376143862182197e-06, -7.241248287663791e-06, -1.0119940100181473e-06, 6.847079596993149e-07, 2.633924226266962e-07, -2.0143220235374613e-10, -1.814843248297622e-08, -4.05612705554717e-09, -2.998836489615753e-10 ] # reconstruction filters # low pass reconstructionLowFilter = [ 0.0007799536136659112, 0.010549394624937735, 0.06342378045900529, 0.21994211355113222, 0.4726961853103315, 0.6104932389378558, 0.36150229873889705, -0.13921208801128787, -0.3267868004335376, -0.016727088308801888, 0.22829105082013823, 0.039850246458519104, -0.1554587507060453, -0.024716827337521424, 0.10229171917513397, 0.005632246857685454, -0.061722899624668884, 0.0058746818113949465, 0.03229429953011916, -0.008789324924555765, -0.013810526137727442, 0.0067216273018096935, 0.00442054238676635, -0.003581494259744107, -0.0008315621728772474, 0.0013925596193045254, -5.349759844340453e-05, -0.0003851047486990061, 0.00010153288973669777, 6.774280828373048e-05, -3.710586183390615e-05, -4.376143862182197e-06, 7.241248287663791e-06, -1.0119940100181473e-06, -6.847079596993149e-07, 2.633924226266962e-07, 2.0143220235374613e-10, -1.814843248297622e-08, 4.05612705554717e-09, -2.998836489615753e-10 ] # high-pass reconstructionHighFilter = [ -2.998836489615753e-10, -4.05612705554717e-09, -1.814843248297622e-08, -2.0143220235374613e-10, 2.633924226266962e-07, 6.847079596993149e-07, -1.0119940100181473e-06, -7.241248287663791e-06, -4.376143862182197e-06, 3.710586183390615e-05, 6.774280828373048e-05, -0.00010153288973669777, -0.0003851047486990061, 5.349759844340453e-05, 0.0013925596193045254, 0.0008315621728772474, -0.003581494259744107, -0.00442054238676635, 0.0067216273018096935, 0.013810526137727442, -0.008789324924555765, -0.03229429953011916, 0.0058746818113949465, 0.061722899624668884, 0.005632246857685454, -0.10229171917513397, -0.024716827337521424, 0.1554587507060453, 0.039850246458519104, -0.22829105082013823, -0.016727088308801888, 0.3267868004335376, -0.13921208801128787, -0.36150229873889705, 0.6104932389378558, -0.4726961853103315, 0.21994211355113222, -0.06342378045900529, 0.010549394624937735, -0.0007799536136659112 ]

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9

e99fd9aa9025c70ad7ae1c9caa8491347234b688

1,451

py

Python

ProjectApplication/grant_management/forms/utils.py

code-review-doctor/project-application

d85b40b69572efbcda24ce9c40803f76d8ffd192

[ "MIT" ]

5

2020-07-29T10:00:11.000Z

2022-02-19T11:00:34.000Z

ProjectApplication/grant_management/forms/utils.py

code-review-doctor/project-application

d85b40b69572efbcda24ce9c40803f76d8ffd192

[ "MIT" ]

471

2019-09-20T14:37:28.000Z

2022-03-25T14:16:34.000Z

ProjectApplication/grant_management/forms/utils.py

code-review-doctor/project-application

d85b40b69572efbcda24ce9c40803f76d8ffd192

[ "MIT" ]

5

2020-03-15T12:42:47.000Z

2022-02-15T18:06:52.000Z

from django.urls import reverse from django.utils.safestring import mark_safe from project_core.utils.utils import format_date def error_due_date_too_early(project): project_basic_information_edit = reverse('logged-grant_management-project-basic-information-update', kwargs={'project': project.id}) return mark_safe(f'Due date should be after project start date ({format_date(project.start_date)}). ' f'If needed <a href="{project_basic_information_edit}">edit the project start date</a>') def error_due_date_too_late(project): project_basic_information_edit = reverse('logged-grant_management-project-basic-information-update', kwargs={'project': project.id}) return mark_safe( f'Due date should be before the project end date ({format_date(project.end_date)}). ' f'If needed <a href="{project_basic_information_edit}">edit the project end date</a>') def error_received_date_too_early(project): project_basic_information_edit = reverse('logged-grant_management-project-basic-information-update', kwargs={'project': project.id}) return mark_safe(f'Date received should be after project start date ({format_date(project.start_date)}). ' f'If needed <a href="{project_basic_information_edit}">edit the project start date</a>')

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1

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null

0

7

e9c2cb50020f44cd612aa908d4129a7fd8aed005

749

py

Python

tests/distancetest.py

sasilva1998/uPyArlo

f40567c2e92f17485991851a423c868419a8665c

[ "MIT" ]

null

tests/distancetest.py

sasilva1998/uPyArlo

f40567c2e92f17485991851a423c868419a8665c

[ "MIT" ]

null

tests/distancetest.py

sasilva1998/uPyArlo

f40567c2e92f17485991851a423c868419a8665c

[ "MIT" ]

2

2019-12-05T14:10:34.000Z

2020-09-16T17:12:04.000Z

from arlorobot import * import utime bot = ArloRobot() print("Reseteando encoder...") bot.clear_counts() print("Posiciones efectuadas por motor derecho: ", bot.read_right_counts()) bot.move(0, 100, 200) utime.sleep(4) print("Posiciones efectuadas por motor derecho: ", bot.read_right_counts()) bot.move(0, 50, 200) utime.sleep(4) print("Posiciones efectuadas por motor derecho: ", bot.read_right_counts()) bot.move(0, -150, 200) utime.sleep(4) print("Posiciones efectuadas por motor derecho: ", bot.read_right_counts()) bot.move(0, -200, 200) utime.sleep(4) print("Posiciones efectuadas por motor derecho: ", bot.read_right_counts()) bot.move(0, -200, 200) utime.sleep(4) print("Posiciones efectuadas por motor derecho: ", bot.read_right_counts())

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8

e9c31aac34313904ed5dfbf3f439c8ec4b3d3666

238

py

Python

nezzle/utils/__init__.py

dwgoon/nezzle

c69d111ae5e57ee2a7db85e14299c23d3b98a6d5

[ "MIT" ]

2

2021-10-06T08:54:02.000Z

2021-10-06T16:17:18.000Z

nezzle/utils/__init__.py

dwgoon/nezzle

c69d111ae5e57ee2a7db85e14299c23d3b98a6d5

[ "MIT" ]

null

nezzle/utils/__init__.py

dwgoon/nezzle

c69d111ae5e57ee2a7db85e14299c23d3b98a6d5

[ "MIT" ]

null

from nezzle.utils.etc import * from nezzle.utils.math import * from nezzle.utils.meta import * from nezzle.utils.networkx import * from nezzle.utils.triggerdict import * from nezzle.utils.search import * from nezzle.utils.module import *

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7

e9d9dbbd606d73861ab3f902454068bdcecad8fa

11,651

py

Python

tests/autogen/input/ifort/9-1_linux_intel/l-input-test-1.py

michaelackermannaiub/py-fortranformat

edc530d5edde41f41939c716da8e1ef01fa8a6fe

[ "MIT" ]

null

tests/autogen/input/ifort/9-1_linux_intel/l-input-test-1.py

michaelackermannaiub/py-fortranformat

edc530d5edde41f41939c716da8e1ef01fa8a6fe

[ "MIT" ]

null

tests/autogen/input/ifort/9-1_linux_intel/l-input-test-1.py

michaelackermannaiub/py-fortranformat

edc530d5edde41f41939c716da8e1ef01fa8a6fe

[ "MIT" ]

null

import sys import os import unittest from nose.plugins.attrib import attr # To change this, re-run 'build-unittests.py' from fortranformat._input import input as _input from fortranformat._lexer import lexer as _lexer from fortranformat._parser import parser as _parser import unittest class LEditDescriptorBatch1TestCase(unittest.TestCase): @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_1(self): inp = '''.TRUE.''' fmt = '''(L1)''' result = ['''ERR'''] eds, rev_eds = _parser(_lexer(fmt)) self.assertRaises(ValueError, _input, eds, rev_eds, inp) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_2(self): inp = '''.FALSE.''' fmt = '''(L1)''' result = ['''ERR'''] eds, rev_eds = _parser(_lexer(fmt)) self.assertRaises(ValueError, _input, eds, rev_eds, inp) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_3(self): inp = '''T''' fmt = '''(L1)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_4(self): inp = '''F''' fmt = '''(L1)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_5(self): inp = '''.TRUE.''' fmt = '''(L2)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_6(self): inp = '''.FALSE.''' fmt = '''(L2)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_7(self): inp = '''T''' fmt = '''(L2)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_8(self): inp = '''F''' fmt = '''(L2)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_9(self): inp = '''.TRUE.''' fmt = '''(L3)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_10(self): inp = '''.FALSE.''' fmt = '''(L3)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_11(self): inp = '''T''' fmt = '''(L3)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_12(self): inp = '''F''' fmt = '''(L3)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_13(self): inp = '''.TRUE.''' fmt = '''(L4)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_14(self): inp = '''.FALSE.''' fmt = '''(L4)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_15(self): inp = '''T''' fmt = '''(L4)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_16(self): inp = '''F''' fmt = '''(L4)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_17(self): inp = '''.TRUE.''' fmt = '''(L5)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_18(self): inp = '''.FALSE.''' fmt = '''(L5)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_19(self): inp = '''T''' fmt = '''(L5)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_20(self): inp = '''F''' fmt = '''(L5)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_21(self): inp = '''.TRUE.''' fmt = '''(L6)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_22(self): inp = '''.FALSE.''' fmt = '''(L6)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_23(self): inp = '''T''' fmt = '''(L6)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_24(self): inp = '''F''' fmt = '''(L6)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_25(self): inp = '''.TRUE.''' fmt = '''(L7)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_26(self): inp = '''.FALSE.''' fmt = '''(L7)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_27(self): inp = '''T''' fmt = '''(L7)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_28(self): inp = '''F''' fmt = '''(L7)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_29(self): inp = '''.TRUE.''' fmt = '''(L8)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_30(self): inp = '''.FALSE.''' fmt = '''(L8)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_31(self): inp = '''T''' fmt = '''(L8)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_32(self): inp = '''F''' fmt = '''(L8)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_33(self): inp = '''.TRUE.''' fmt = '''(L9)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_34(self): inp = '''.FALSE.''' fmt = '''(L9)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_35(self): inp = '''T''' fmt = '''(L9)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_36(self): inp = '''F''' fmt = '''(L9)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_37(self): inp = '''.TRUE.''' fmt = '''(L10)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_38(self): inp = '''.FALSE.''' fmt = '''(L10)''' result = [False] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) @attr(platform='9-1_linux_intel') @attr('input') @attr(ed='L') def test_l_ed_input_39(self): inp = '''T''' fmt = '''(L10)''' result = [True] eds, rev_eds = _parser(_lexer(fmt)) self.assertEqual(result, _input(eds, rev_eds, inp)) if __name__ == '__main__': unittest.main()

28.556373

64

0.543816

1,534

11,651

3.841591

0.063885

0.079416

0.119124

0.092652

0.869167

0

0.022311

0.269076

11,651

408

65

28.556373

0.669681

0.003691

0

0.867403

0

0.098311

0

0.107735

1

0.107735

false

0

0.022099

0

0.132597

0

null

0

1

0

1

0

null

0

7

75af4046dd5c59cf9d02310f8cfdd3815d2d22b1

15,368

py

Python

pclinfmri/preproc/pilots.py

neurospin/preclinicfmri

637ba9f5f594ec837515e7364482f66c37ecf03f

[ "CECILL-B" ]

null

pclinfmri/preproc/pilots.py

neurospin/preclinicfmri

637ba9f5f594ec837515e7364482f66c37ecf03f

[ "CECILL-B" ]

null

pclinfmri/preproc/pilots.py

neurospin/preclinicfmri

637ba9f5f594ec837515e7364482f66c37ecf03f

[ "CECILL-B" ]

null

#! /usr/bin/env python ########################################################################## # NSAp - Copyright (C) CEA, 2013 # Distributed under the terms of the CeCILL-B license, as published by # the CEA-CNRS-INRIA. Refer to the LICENSE file or to # http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html # for details. ########################################################################## # CAPSUL import try: from capsul.utils.pilot import pilotfunction except: def pilotfunction(func): return func @pilotfunction def pilot_slice_timing(): """ Slice Timing Correction ======================= """ # Pilot imports import os from caps.toy_datasets import get_sample_data from capsul.study_config import StudyConfig from pclinfmri.preproc.pipeline import SliceTiming """ Study configuration ------------------- We first define the working directory and guarantee this folder exists on the file system: """ working_dir = "/volatile/nsap/pclinfmri/spmslicetiming" if not os.path.isdir(working_dir): os.makedirs(working_dir) """ And then define the study configuration (here we activate the smart caching module that will be able to remember which process has already been processed): """ study_config = StudyConfig( modules=["SmartCachingConfig", "MatlabConfig", "SPMConfig", "FSLConfig", "NipypeConfig"], use_smart_caching=True, fsl_config="/etc/fsl/4.1/fsl.sh", use_fsl=True, matlab_exec="/neurospin/local/bin/matlab", use_matlab=True, spm_directory="/i2bm/local/spm8", use_spm=True, output_directory=working_dir) """ Load the toy dataset -------------------- To do so, we use the get_sample_data function to download the toy dataset on the local file system (here localizer data): """ toy_dataset = get_sample_data("localizer") """ The toy_dataset is an Enum structure with some specific elements of interest: * **??**: ??. Processing definition --------------------- First create the :ref:`slice timing pipeline <pclinfmri.preproc.pipeline.SliceTiming>` that define the different step of the processings: """ pipeline = SliceTiming() print pipeline.get_input_spec() """ Now we need now to parametrize this pipeline: """ pipeline.fmri_file = toy_dataset.fmri pipeline.select_slicer = "spm" pipeline.force_repetition_time = toy_dataset.TR pipeline.force_slice_orders = [index + 1 for index in range(40)] """ The pipeline is now ready to be run: """ study_config.run(pipeline, executer_qc_nodes=True, verbose=1) """ Results ------- Finally, we print the pipeline outputs: """ print("\nOUTPUTS\n") for trait_name, trait_value in pipeline.get_outputs().items(): print("{0}: {1}".format(trait_name, trait_value)) @pilotfunction def pilot_realignement(): """ Realignement ============ """ # Pilot imports import os from caps.toy_datasets import get_sample_data from capsul.study_config import StudyConfig from pclinfmri.preproc.pipeline import SpmRealignement """ Study configuration ------------------- We first define the working directory and guarantee this folder exists on the file system: """ working_dir = "/volatile/nsap/pclinfmri/spmrealignement" if not os.path.isdir(working_dir): os.makedirs(working_dir) """ And then define the study configuration (here we activate the smart caching module that will be able to remember which process has already been processed): """ study_config = StudyConfig( modules=["SmartCachingConfig", "MatlabConfig", "SPMConfig", "NipypeConfig"], use_smart_caching=True, matlab_exec="/neurospin/local/bin/matlab", use_matlab=True, spm_directory="/i2bm/local/spm8", use_spm=True, output_directory=working_dir) """ Load the toy dataset -------------------- To do so, we use the get_sample_data function to download the toy dataset on the local file system (here localizer data): """ toy_dataset = get_sample_data("localizer") """ The toy_dataset is an Enum structure with some specific elements of interest: * **??**: ??. Processing definition --------------------- First create the :ref:`slice timing pipeline <pclinfmri.preproc.pipeline.SliceTiming>` that define the different step of the processings: """ pipeline = SpmRealignement() print pipeline.get_input_spec() """ Now we need now to parametrize this pipeline: """ pipeline.fmri_file = toy_dataset.fmri pipeline.register_to_mean = True """ The pipeline is now ready to be run: """ study_config.run(pipeline, executer_qc_nodes=True, verbose=1) """ Results ------- Finally, we print the pipeline outputs: """ print("\nOUTPUTS\n") for trait_name, trait_value in pipeline.get_outputs().items(): print("{0}: {1}".format(trait_name, trait_value)) @pilotfunction def pilot_coregistration(): """ Coregistration ============== """ # Pilot imports import os from caps.toy_datasets import get_sample_data from capsul.study_config import StudyConfig from pclinfmri.preproc.pipeline import SpmCoregistration """ Study configuration ------------------- We first define the working directory and guarantee this folder exists on the file system: """ working_dir = "/volatile/nsap/pclinfmri/spmcoregistration" if not os.path.isdir(working_dir): os.makedirs(working_dir) """ And then define the study configuration (here we activate the smart caching module that will be able to remember which process has already been processed): """ study_config = StudyConfig( modules=["SmartCachingConfig", "MatlabConfig", "SPMConfig", "NipypeConfig"], use_smart_caching=True, matlab_exec="/neurospin/local/bin/matlab", use_matlab=True, spm_directory="/i2bm/local/spm8", use_spm=True, output_directory=working_dir) """ Load the toy dataset -------------------- To do so, we use the get_sample_data function to download the toy dataset on the local file system (here localizer data): """ toy_dataset = get_sample_data("localizer") """ The toy_dataset is an Enum structure with some specific elements of interest: * **??**: ??. Processing definition --------------------- First create the :ref:`slice timing pipeline <pclinfmri.preproc.pipeline.SliceTiming>` that define the different step of the processings: """ pipeline = SpmCoregistration() print pipeline.get_input_spec() """ Now we need now to parametrize this pipeline: """ pipeline.reference_image = toy_dataset.mean pipeline.moving_image = toy_dataset.anat pipeline.fwhm = [7, 7] pipeline.jobtype = "estwrite" """ The pipeline is now ready to be run: """ study_config.run(pipeline, executer_qc_nodes=True, verbose=1) """ Results ------- Finally, we print the pipeline outputs: """ print("\nOUTPUTS\n") for trait_name, trait_value in pipeline.get_outputs().items(): print("{0}: {1}".format(trait_name, trait_value)) @pilotfunction def pilot_normalization(): """ Normalization ============= """ # Pilot imports import os from caps.toy_datasets import get_sample_data from capsul.study_config import StudyConfig from pclinfmri.preproc.pipeline import SpmNormalization """ Study configuration ------------------- We first define the working directory and guarantee this folder exists on the file system: """ working_dir = "/volatile/nsap/pclinfmri/spmnormalization" if not os.path.isdir(working_dir): os.makedirs(working_dir) """ And then define the study configuration (here we activate the smart caching module that will be able to remember which process has already been processed): """ study_config = StudyConfig( modules=["SmartCachingConfig", "MatlabConfig", "SPMConfig", "NipypeConfig"], use_smart_caching=True, matlab_exec="/neurospin/local/bin/matlab", use_matlab=True, spm_directory="/i2bm/local/spm8", use_spm=True, output_directory=working_dir) """ Load the toy dataset -------------------- To do so, we use the get_sample_data function to download the toy dataset on the local file system (here localizer data): """ toy_dataset = get_sample_data("localizer") """ The toy_dataset is an Enum structure with some specific elements of interest: * **??**: ??. Processing definition --------------------- First create the :ref:`slice timing pipeline <pclinfmri.preproc.pipeline.SliceTiming>` that define the different step of the processings: """ pipeline = SpmNormalization() print pipeline.get_input_spec() """ Now we need now to parametrize this pipeline: """ pipeline.reference_image = toy_dataset.mean pipeline.coregistered_struct_file = toy_dataset.mean pipeline.fmri_file = toy_dataset.fmri """ The pipeline is now ready to be run: """ study_config.run(pipeline, executer_qc_nodes=True, verbose=1) """ Results ------- Finally, we print the pipeline outputs: """ print("\nOUTPUTS\n") for trait_name, trait_value in pipeline.get_outputs().items(): print("{0}: {1}".format(trait_name, trait_value)) @pilotfunction def pilot_template_registration(): """ Template Registration ===================== """ # Pilot imports import os from caps.toy_datasets import get_sample_data from capsul.study_config import StudyConfig from capsul.process import get_process_instance """ Study configuration ------------------- We first define the working directory and guarantee this folder exists on the file system: """ working_dir = "/volatile/nsap/pclinfmri/spmtemplateregistration" if not os.path.isdir(working_dir): os.makedirs(working_dir) """ And then define the study configuration (here we activate the smart caching module that will be able to remember which process has already been processed): """ study_config = StudyConfig( modules=["SmartCachingConfig", "MatlabConfig", "SPMConfig", "NipypeConfig"], use_smart_caching=True, matlab_exec="/neurospin/local/bin/matlab", use_matlab=True, spm_directory="/i2bm/local/spm8", use_spm=True, output_directory=working_dir) """ Load the toy dataset -------------------- To do so, we use the get_sample_data function to download the toy dataset on the local file system (here localizer data): """ toy_dataset = get_sample_data("localizer") template_dataset = get_sample_data("mni_1mm") """ The toy_dataset is an Enum structure with some specific elements of interest: * **??**: ??. Processing definition --------------------- First create the :ref:`slice timing pipeline <pclinfmri.preproc.pipeline.SliceTiming>` that define the different step of the processings: """ pipeline = get_process_instance( "pclinfmri.preproc.pipeline.spm_template_registration.xml") print pipeline.get_input_spec() """ Now we need now to parametrize this pipeline: """ pipeline.template_file = template_dataset.brain pipeline.coregistered_struct_file = toy_dataset.mean pipeline.fmri_file = toy_dataset.fmri """ The pipeline is now ready to be run: """ study_config.run(pipeline, executer_qc_nodes=True, verbose=1) """ Results ------- Finally, we print the pipeline outputs: """ print("\nOUTPUTS\n") for trait_name, trait_value in pipeline.get_outputs().items(): print("{0}: {1}".format(trait_name, trait_value)) @pilotfunction def pilot_preproc(): """ FMRI preprocessings =================== """ # Pilot imports import os from caps.toy_datasets import get_sample_data from capsul.study_config import StudyConfig from capsul.process import get_process_instance """ Study configuration ------------------- We first define the working directory and guarantee this folder exists on the file system: """ working_dir = "/volatile/nsap/pclinfmri/fmripreproc" if not os.path.isdir(working_dir): os.makedirs(working_dir) """ And then define the study configuration (here we activate the smart caching module that will be able to remember which process has already been processed): """ study_config = StudyConfig( modules=["SmartCachingConfig", "MatlabConfig", "SPMConfig", "FSLConfig", "NipypeConfig"], use_smart_caching=True, fsl_config="/etc/fsl/4.1/fsl.sh", use_fsl=True, matlab_exec="/neurospin/local/bin/matlab", use_matlab=True, spm_directory="/i2bm/local/spm8", use_spm=True, output_directory=working_dir) """ Load the toy dataset -------------------- To do so, we use the get_sample_data function to download the toy dataset on the local file system (here localizer data): """ toy_dataset = get_sample_data("localizer") template_dataset = get_sample_data("mni_1mm") """ The toy_dataset is an Enum structure with some specific elements of interest: * **??**: ??. Processing definition --------------------- First create the :ref:`slice timing pipeline <pclinfmri.preproc.pipeline.SliceTiming>` that define the different step of the processings: """ pipeline = get_process_instance("pclinfmri.preproc.fmri_preproc.xml") print pipeline.get_input_spec() """ Now we need now to parametrize this pipeline: """ pipeline.fmri_file = toy_dataset.fmri pipeline.structural_file = toy_dataset.anat pipeline.realign_register_to_mean = True pipeline.select_slicer = "none" pipeline.select_registration = "template" pipeline.template_file = template_dataset.brain pipeline.force_repetition_time = toy_dataset.TR pipeline.force_slice_orders = [index + 1 for index in range(40)] """ The pipeline is now ready to be run: """ study_config.run(pipeline, executer_qc_nodes=True, verbose=1) """ Results ------- Finally, we print the pipeline outputs: """ print("\nOUTPUTS\n") for trait_name, trait_value in pipeline.get_outputs().items(): print("{0}: {1}".format(trait_name, trait_value)) if __name__ == "__main__": #pilot_slice_timing() #pilot_realignement() #pilot_coregistration() #pilot_normalization() #pilot_template_registration() pilot_preproc()

27.740072

80

0.637949

1,779

15,368

5.349635

0.120292

0.038878

0.02732

0.023957

0.88841

0.880845

0

0.004154

0.232496

15,368

553

81

27.790235

0.802713

0.029672

0

0.792553

0

0.143824

0.06127

0

null

0

0.132979

null

0.095745

0

null

0

1

0

1

0

null

0

1

0

8

75d139e0f4d9738b2a686687ea1ed2045d32d53a

1,156

py

Python

File Compiler/Automate.py

Elysian01/Mini-Projects

1b952304582053fc3ff559477494c2a99c921c4b

[ "MIT" ]

1

2020-12-10T06:24:41.000Z

File Compiler/Automate.py

Elysian01/Mini-Projects

1b952304582053fc3ff559477494c2a99c921c4b

[ "MIT" ]

null

File Compiler/Automate.py

Elysian01/Mini-Projects

1b952304582053fc3ff559477494c2a99c921c4b

[ "MIT" ]

null

<<<<<<< HEAD import os import subprocess try : if os.name == 'nt': # for Windows FileName = os.path.expanduser("~/Desktop") + "\\FileComipler" FileName2 = FileName + "\\lib" os.mkdir(FileName) os.mkdir(FileName2) command1 = "xcopy lib C:\\Users\\abhis\\Desktop\\FileComipler\\lib /s" command2 = "xcopy FileCompiler.exe C:\\Users\\abhis\\Desktop\\FileComipler /s" subprocess.check_output(command1,shell=True) subprocess.check_output(command2,shell=True) except : pass ======= import os import subprocess try : if os.name == 'nt': # for Windows FileName = os.path.expanduser("~/Desktop") + "\\FileComipler" FileName2 = FileName + "\\lib" os.mkdir(FileName) os.mkdir(FileName2) command1 = "xcopy lib C:\\Users\\abhis\\Desktop\\FileComipler\\lib /s" command2 = "xcopy FileCompiler.exe C:\\Users\\abhis\\Desktop\\FileComipler /s" subprocess.check_output(command1,shell=True) subprocess.check_output(command2,shell=True) except : pass >>>>>>> 826d842434e84e842a44bae2589ad6180cff7b86

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f95e972f37d013ba167b6015341ecf7bc9e60e44

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py

Python

synth/__init__.py

billbrod/synthesis-examples

891c25c2396f556a93e2bd0dc12ca53731a434b9

[ "MIT" ]

null

synth/__init__.py

billbrod/synthesis-examples

891c25c2396f556a93e2bd0dc12ca53731a434b9

[ "MIT" ]

null

synth/__init__.py

billbrod/synthesis-examples

891c25c2396f556a93e2bd0dc12ca53731a434b9

[ "MIT" ]

null

from . import create_metamers from . import create_mad_images from . import utils from . import style from . import figures

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py

Python

Semana7/matriz8x8.py

BrayanTorres2/Algoritmosyprogramaci-n-Grupo2Ciclo4-

ad64b5a3d3d129efaa297617748a74872522d7a1

[ "MIT" ]

4

2021-09-27T17:20:56.000Z

2021-09-28T23:12:49.000Z

Semana7/matriz8x8.py

BrayanTorres2/Algoritmosyprogramaci-n-Grupo2Ciclo4-

ad64b5a3d3d129efaa297617748a74872522d7a1

[ "MIT" ]

null

Semana7/matriz8x8.py

BrayanTorres2/Algoritmosyprogramaci-n-Grupo2Ciclo4-

ad64b5a3d3d129efaa297617748a74872522d7a1

[ "MIT" ]

13

2021-07-26T16:38:57.000Z

2021-11-19T02:28:12.000Z

ajedrez=[[0,1,0,1,0,1,0,1],[1,0,1,0,1,0,1,0],[0,1,0,1,0,1,0,1],[1,0,1,0,1,0,1,0],[0,1,0,1,0,1,0,1],[1,0,1,0,1,0,1,0],[0,1,0,1,0,1,0,1],[1,0,1,0,1,0,1,0]] print(ajedrez[0][7]) c=0 for x in range(0,8): for y in range(0,8): if(ajedrez[x][y]==1): c+=1 print(c)

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f9e408994519f3ad3ec653f48f0705a34e618a02

894

py

Python

wrappers/arlexecute/visibility/operations.py

ska-telescope/algorithm-reference-library

1b2c8d6079249202864abf8c60cdea40f0f123cb

[ "Apache-2.0" ]

22

2016-12-14T11:20:07.000Z

2021-08-13T15:23:41.000Z

wrappers/arlexecute/visibility/operations.py

ska-telescope/algorithm-reference-library

1b2c8d6079249202864abf8c60cdea40f0f123cb

[ "Apache-2.0" ]

30

2017-06-27T09:15:38.000Z

2020-09-11T18:16:37.000Z

wrappers/arlexecute/visibility/operations.py

SKA-ScienceDataProcessor/algorithm-reference-library

1b2c8d6079249202864abf8c60cdea40f0f123cb

[ "Apache-2.0" ]

20

2017-07-02T03:45:49.000Z

2019-12-11T17:19:01.000Z

""" Visibility operations """ from processing_components.visibility.operations import append_visibility from processing_components.visibility.operations import sort_visibility from processing_components.visibility.operations import concatenate_visibility from processing_components.visibility.operations import sum_visibility from processing_components.visibility.operations import subtract_visibility from processing_components.visibility.operations import qa_visibility from processing_components.visibility.operations import remove_continuum_blockvisibility from processing_components.visibility.operations import divide_visibility from processing_components.visibility.operations import integrate_visibility_by_channel from processing_components.visibility.operations import convert_visibility_to_stokes from processing_components.visibility.operations import convert_visibility_to_stokesI

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fb1ca6d817d02674ccfb0da1016d4d96161faab3

7,125

py

Python

2015/Day1/Part1.py

Grohiik/Advent_of_code

c9fc0f1b276a8833b8af6d1ad707e2fd545563e1

[ "MIT" ]

null

2015/Day1/Part1.py

Grohiik/Advent_of_code

c9fc0f1b276a8833b8af6d1ad707e2fd545563e1

[ "MIT" ]

null

2015/Day1/Part1.py

Grohiik/Advent_of_code

c9fc0f1b276a8833b8af6d1ad707e2fd545563e1

[ "MIT" ]

null

input = 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floor = 0 for char in input: if(char == "("): floor+=1 else: floor-=1 print(floor)

593.75

7,010

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0.000424

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7,125

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1

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1

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1

null

0

7

34b481f4fb64a4a63a5736260047c18768167db8

5,762

py

Python

hyperion/model/tests/test_amr_checks.py

bluescarni/hyperion

4a0d33fcbd3943b5bcfbd318f11e199d2498956d

[ "BSD-2-Clause" ]

2

2015-05-14T17:26:16.000Z

2019-03-13T17:33:18.000Z

hyperion/model/tests/test_amr_checks.py

bluescarni/hyperion

4a0d33fcbd3943b5bcfbd318f11e199d2498956d

[ "BSD-2-Clause" ]

null

hyperion/model/tests/test_amr_checks.py

bluescarni/hyperion

4a0d33fcbd3943b5bcfbd318f11e199d2498956d

[ "BSD-2-Clause" ]

null

from astropy.tests.helper import pytest import numpy as np from .. import Model from .test_helpers import random_id, get_test_dust from ...grid import AMRGrid @pytest.mark.parametrize(('direction'), ['x', 'y', 'z']) def test_amr_differing_widths(tmpdir, direction): # Widths of grids in same level are not the same dust = get_test_dust() amr = AMRGrid() level1 = amr.add_level() grid1 = level1.add_grid() grid1.nx = grid1.ny = grid1.nz = 4 grid1.xmin = grid1.ymin = grid1.zmin = -10. grid1.xmax = grid1.ymax = grid1.zmax = +10. grid1.quantities['density'] = np.ones(grid1.shape) * 1.e-10 grid2 = level1.add_grid() grid2.nx = grid2.ny = grid2.nz = 4 grid2.xmin = grid2.ymin = grid2.zmin = -10. grid2.xmax = grid2.ymax = grid2.zmax = +10. grid2.quantities['density'] = np.ones(grid2.shape) * 1.e-10 setattr(grid2, direction + 'min', -10.1) m = Model() m.set_grid(amr) m.add_density_grid(amr['density'], dust) m.set_n_photons(initial=1, imaging=0) m.write(tmpdir.join(random_id()).strpath) log_file = tmpdir.join(random_id()).strpath with pytest.raises(SystemExit) as exc: m.run(tmpdir.join(random_id()).strpath, logfile=log_file) assert exc.value.args[0] == 'An error occurred, and the run did not ' + \ 'complete' assert ('Grids 1 and 2 in level 1 have differing cell widths in the %s \n direction ( 5.0000E+00 and 5.0250E+00 respectively)' % direction) in open(log_file).read() @pytest.mark.parametrize(('direction'), ['x', 'y', 'z']) def test_amr_misaligned_grids_same_level(tmpdir, direction): # Widths of grids in same level are not the same dust = get_test_dust() amr = AMRGrid() level1 = amr.add_level() grid1 = level1.add_grid() grid1.nx = grid1.ny = grid1.nz = 4 grid1.xmin = grid1.ymin = grid1.zmin = -10. grid1.xmax = grid1.ymax = grid1.zmax = +10. grid1.quantities['density'] = np.ones(grid1.shape) * 1.e-10 grid2 = level1.add_grid() grid2.nx = grid2.ny = grid2.nz = 4 grid2.xmin = grid2.ymin = grid2.zmin = -10. grid2.xmax = grid2.ymax = grid2.zmax = +10. grid2.quantities['density'] = np.ones(grid2.shape) * 1.e-10 setattr(grid2, direction + 'min', -10.1) setattr(grid2, direction + 'max', 9.9) m = Model() m.set_grid(amr) m.add_density_grid(amr['density'], dust) m.set_n_photons(initial=1, imaging=0) m.write(tmpdir.join(random_id()).strpath) log_file = tmpdir.join(random_id()).strpath with pytest.raises(SystemExit) as exc: m.run(tmpdir.join(random_id()).strpath, logfile=log_file) assert exc.value.args[0] == 'An error occurred, and the run did not ' + \ 'complete' assert ('Grids 1 and 2 in level 1 have edges that are not separated by \n an integer number of cells in the %s direction' % direction) in open(log_file).read() @pytest.mark.parametrize(('direction'), ['x', 'y', 'z']) def test_amr_non_integer_refinement(tmpdir, direction): # Widths of grids in same level are not the same dust = get_test_dust() amr = AMRGrid() level1 = amr.add_level() grid1 = level1.add_grid() grid1.nx = grid1.ny = grid1.nz = 4 grid1.xmin = grid1.ymin = grid1.zmin = -10. grid1.xmax = grid1.ymax = grid1.zmax = +10. grid1.quantities['density'] = np.ones(grid1.shape) * 1.e-10 level2 = amr.add_level() grid2 = level2.add_grid() grid2.nx = grid2.ny = grid2.nz = 4 grid2.xmin = grid2.ymin = grid2.zmin = -5. grid2.xmax = grid2.ymax = grid2.zmax = +5. grid2.quantities['density'] = np.ones(grid2.shape) * 1.e-10 setattr(grid2, direction + 'min', -6.) m = Model() m.set_grid(amr) m.add_density_grid(amr['density'], dust) m.set_n_photons(initial=1, imaging=0) m.write(tmpdir.join(random_id()).strpath) log_file = tmpdir.join(random_id()).strpath with pytest.raises(SystemExit) as exc: m.run(tmpdir.join(random_id()).strpath, logfile=log_file) assert exc.value.args[0] == 'An error occurred, and the run did not ' + \ 'complete' assert ('Refinement factor in the %s direction between level 1 and \n level 2 is not an integer (1.818)' % direction) in open(log_file).read() @pytest.mark.parametrize(('direction'), ['x', 'y', 'z']) def test_amr_not_aligned_across_levels(tmpdir, direction): # Widths of grids in same level are not the same dust = get_test_dust() amr = AMRGrid() level1 = amr.add_level() grid1 = level1.add_grid() grid1.nx = grid1.ny = grid1.nz = 4 grid1.xmin = grid1.ymin = grid1.zmin = -10. grid1.xmax = grid1.ymax = grid1.zmax = +10. grid1.quantities['density'] = np.ones(grid1.shape) * 1.e-10 level2 = amr.add_level() grid2 = level2.add_grid() grid2.nx = grid2.ny = grid2.nz = 4 grid2.xmin = grid2.ymin = grid2.zmin = -5. grid2.xmax = grid2.ymax = grid2.zmax = +5. grid2.quantities['density'] = np.ones(grid2.shape) * 1.e-10 setattr(grid2, direction + 'min', -6.) setattr(grid2, direction + 'max', 4.) m = Model() m.set_grid(amr) m.add_density_grid(amr['density'], dust) m.set_n_photons(initial=1, imaging=0) m.write(tmpdir.join(random_id()).strpath) log_file = tmpdir.join(random_id()).strpath with pytest.raises(SystemExit) as exc: m.run(tmpdir.join(random_id()).strpath, logfile=log_file) assert exc.value.args[0] == 'An error occurred, and the run did not ' + \ 'complete' assert ('Grid 1 in level 2 is not aligned with cells in level 1 in the \n %s direction' % direction) in open(log_file).read()

34.094675

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1

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null

0

7

9b62d5280c861399552f01c29019d6e2fc59db3d

135

py

Python

100.projects/links/www/router.py

wangpin34/learn-python

e8a17501dbda3ba6e7ca1eccbac89536409b3d79

[ "MIT" ]

null

100.projects/links/www/router.py

wangpin34/learn-python

e8a17501dbda3ba6e7ca1eccbac89536409b3d79

[ "MIT" ]

null

100.projects/links/www/router.py

wangpin34/learn-python

e8a17501dbda3ba6e7ca1eccbac89536409b3d79

[ "MIT" ]

null

from flask import request,render_template @app.route('/', methods=['GET', 'POST']) def home(): return render_template('home.html')

27

41

0.703704

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0.833333

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0

0.111111

135

5

42

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0.25

true

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0.25

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1

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null

1

0

1

0

null

0

1

0

1

0

7

9b7572140a6af887fdd47ad35682b2a813b94293

564

py

Python

omoide/migration_engine/operations/unite/__init__.py

TaXeH/Omoide

8ccc9d47e802433bb2de21ff930e6630658cd5e3

[ "MIT" ]

null

omoide/migration_engine/operations/unite/__init__.py

TaXeH/Omoide

8ccc9d47e802433bb2de21ff930e6630658cd5e3

[ "MIT" ]

null

omoide/migration_engine/operations/unite/__init__.py

TaXeH/Omoide

8ccc9d47e802433bb2de21ff930e6630658cd5e3

[ "MIT" ]

null

# -*- coding: utf-8 -*- from omoide.migration_engine.operations.unite import identity from omoide.migration_engine.operations.unite import persistent from omoide.migration_engine.operations.unite import raw_entities from omoide.migration_engine.operations.unite import preprocessing from omoide.migration_engine.operations.unite.class_identity_master import * from omoide.migration_engine.operations.unite.class_router import * from omoide.migration_engine.operations.unite.class_uuid_master import * from omoide.migration_engine.operations.unite.unite import act

56.4

76

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564

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0.27027

0.169133

0.321353

0.422833

0.82241

0.338266

0

0.001898

0.065603

564

9

77

62.666667

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null

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9

9b99c62aa2fb3bf0ae8a2b025c558bd5145a8c0d

176

py

Python

laia/decoders/__init__.py

eivtho/PyLaia

2a7a6e2eeb9b5af68c0faed0c564b02063e72be0

[ "MIT" ]

89

2018-12-12T23:06:26.000Z

2022-02-03T09:04:21.000Z

laia/decoders/__init__.py

eivtho/PyLaia

2a7a6e2eeb9b5af68c0faed0c564b02063e72be0

[ "MIT" ]

30

2019-03-06T14:29:48.000Z

2022-03-16T14:53:43.000Z

laia/decoders/__init__.py

jpuigcerver/PyLaia

1b2e864247f1bfb8d95ac1910de9c52df71c017a

[ "MIT" ]

26

2018-12-13T17:48:19.000Z

2022-02-28T12:52:29.000Z

from laia.decoders.ctc_alignment import ctc_alignment from laia.decoders.ctc_greedy_decoder import CTCGreedyDecoder from laia.decoders.ctc_nbest_decoder import CTCNBestDecoder

44

61

0.897727

24

176

6.333333

0.458333

0.157895

0.315789

0.375

0

0.068182

176

3

62

58.666667

0.926829

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

32cc9564c7bb05da5b7c7aedc80965bffca20e71

31,749

py

Python

theano_models/dA/AutoEncoder.py

lzamparo/SdA_reduce

1dc11f23b395f316df5f41448542d2d5c2e619ff

[ "BSD-3-Clause" ]

null

theano_models/dA/AutoEncoder.py

lzamparo/SdA_reduce

1dc11f23b395f316df5f41448542d2d5c2e619ff

[ "BSD-3-Clause" ]

null

theano_models/dA/AutoEncoder.py

lzamparo/SdA_reduce

1dc11f23b395f316df5f41448542d2d5c2e619ff

[ "BSD-3-Clause" ]

null

import numpy as np import theano.tensor as T from theano import shared, config from theano.tensor.shared_randomstreams import RandomStreams class AutoEncoder(object): def __init__(self, numpy_rng=None, theano_rng=None, input=None, n_visible=784, n_hidden=500, W=None, bhid=None, bvis=None, W_name=None, bvis_name=None, bhid_name=None, sparse_init=-1): """ A de-noising AutoEncoder class from theano tutorials. :type numpy_rng: numpy.random.RandomState :param numpy_rng: number random generator used to generate weights :type theano_rng: theano.tensor.shared_randomstreams.RandomStreams :param theano_rng: Theano random generator; if None is given one is generated based on a seed drawn from `rng` :type input: theano.tensor.TensorType :paran input: a symbolic description of the input or None for standalone dA :type n_visible: int :param n_visible: number of visible units :type n_hidden: int :param n_hidden: number of hidden units :type W: theano.tensor.TensorType :param W: Theano variable pointing to a set of weights that should be shared Theano variables connecting the visible and hidden layers. :type bhid: theano.tensor.TensorType :param bhid: Theano variable pointing to a set of biases values (for hidden units). :type bvis: theano.tensor.TensorType :param bvis: Theano variable pointing to a set of biases values (for visible units). :type W_name: string :param W_name: name to be assigned to the W matrix. :type bvis_name: string :param bvis_name: name to be assigned to the b vector for the visible units. :type bhid_name: string :param bhid_name: name to be assigned to the b vector for the hidden units. :type sparse_init: int :param sparse_init: Initialize the weight matrices using Martens sparse initialization (Martens ICML 2010) >0 specifies the number of units in the layer that have initial weights drawn from a N(0,1). Use -1 for Glorot & Bengio (i.e dense) init. """ self.n_visible = n_visible self.n_hidden = n_hidden if numpy_rng is None: raise AssertionError("numpy_rng cannot be unspecified in AutoEncoder.__init__") # create a Theano random generator that gives symbolic random values if theano_rng is None: theano_rng = RandomStreams(numpy_rng.randint(2 ** 30)) self.theano_rng = theano_rng if W_name is None: W_name = 'W' if bvis_name is None: bvis_name = 'bvis' if bhid_name is None: bhid_name = 'bhid' if not W: if sparse_init > 0: initial_W = self.sparse_w(n_visible, n_hidden, sparse_init) else: initial_W = self.dense_w(n_visible, n_hidden, numpy_rng) W = shared(value=initial_W, name=W_name) self.W = W # Tie the weights of the decoder to the encoder self.W_prime = self.W.T # Bias of the visible units if not bvis: bvis = shared(value=np.zeros(n_visible, dtype = config.floatX), name = bvis_name) self.b_prime = bvis # Bias of the hidden units if not bhid: bhid = shared(value=np.zeros(n_hidden, dtype = config.floatX), name = bhid_name) self.b = bhid if input is None: self.x = T.dmatrix(name='input') else: self.x = input self.params = [self.W, self.b, self.b_prime] def get_corrupted_input(self, input, corruption_level): """ This function keeps ``1-corruption_level`` entries of the inputs the same and zero-out randomly selected subset of size ``coruption_level`` Note : first argument of theano.rng.binomial is the shape(size) of random numbers that it should produce second argument is the number of trials third argument is the probability of success of any trial this will produce an array of 0s and 1s where 1 has a probability of 1 - ``corruption_level`` and 0 with ``corruption_level`` """ return T.cast(self.theano_rng.binomial(size=input.shape, n=1, p=1 - corruption_level),config.floatX) * input def get_hidden_values(self, input): """ Compute the values of the hidden layer """ raise NotImplementedError(str(type(self))+ " does not implement get_hidden_values.") def get_reconstructed_input(self, hidden): """ Compute the reconstructed input given the hidden rep'n """ raise NotImplementedError(str(type(self))+ " does not implement get_reconstructed_input.") def get_cost_updates(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input """ raise NotImplementedError(str(type(self))+ " does not implement get_cost_updates.") def __getstate__(self): """ Return a tuple of all the important parameters that define this dA """ return (self.W.get_value(), self.b.get_value(), self.b_prime.get_value(), self.n_visible, self.n_hidden) def __setstate__(self, state): """ Set the state of this dA from values returned from a deserialization process like unpickle. """ W, b, b_prime, n_visible, n_hidden = state self.W = shared(value=W, name='W') self.b = shared(value=b, name = 'bvis') self.b_prime = shared(value=b_prime, name= 'bhid') self.n_visible = n_visible self.n_hidden = n_hidden numpy_rng = np.random.RandomState(123) self.theano_rng = RandomStreams(numpy_rng.randint(2 ** 30)) self.W_prime = self.W.T self.params = [self.W, self.b, self.b_prime] def get_params(self): """ Return the params of this dA. This is for pickling testing purposes """ return self.params def set_input(self, input): """ Set the input for an unpickled dA """ self.x = input def dropout_from_layer(self, layer, prob): """ Apply masking noise to the hidden (i.e output) layer for this dA. :type layer: theano.shared :param layer: number random generator used to generate weights :type prob: float :param prob: retain each unit in this layer with probability prob """ return T.cast(self.theano_rng.binomial(size=layer.shape, n=1, p=prob),config.floatX) * layer def sparse_w(self, n_visible, n_hidden, sparsity): ''' Return a numpy array for a sparse W matrix, the method of Martens (ICML 2010) ''' initial_W = np.zeros((n_visible,n_hidden),dtype = config.floatX) # Make only sparse_init connections from each hidden unit back to each visible unit idx = np.arange(n_hidden) # Don't make more connections than there are hidden units n_connections = min(sparsity,n_hidden) for j in xrange(n_visible): np.random.shuffle(idx) initial_W[j,idx[:n_connections]] = np.random.randn(n_connections) print "... returned sparse init matrix " return initial_W def dense_w(self, n_visible, n_hidden, numpy_rng): ''' Return a numpy array for a dense W matrix, the method of Glorot and Bengio (AISTATS2010) ''' initial_W = np.asarray(numpy_rng.uniform( low = -4 * np.sqrt(6. / (n_hidden + n_visible)), high = 4 * np.sqrt(6. / (n_hidden + n_visible)), size = (n_visible, n_hidden)), dtype = config.floatX) print "... returned dense init matrix " return initial_W class BernoulliAutoEncoder(AutoEncoder): def __init__(self, numpy_rng, theano_rng=None, input=None, n_visible=784, n_hidden=500, W=None, bhid=None, bvis=None, W_name=None, bvis_name=None, bhid_name=None, sparse_init=-1): """ A de-noising AutoEncoder with [0,1] inputs and hidden values :type numpy_rng: numpy.random.RandomState :param numpy_rng: number random generator used to generate weights :type theano_rng: theano.tensor.shared_randomstreams.RandomStreams :param theano_rng: Theano random generator; if None is given one is generated based on a seed drawn from `rng` :type input: theano.tensor.TensorType :paran input: a symbolic description of the input or None for standalone dA :type n_visible: int :param n_visible: number of visible units :type n_hidden: int :param n_hidden: number of hidden units :type W: theano.tensor.TensorType :param W: Theano variable pointing to a set of weights that should be shared Theano variables connecting the visible and hidden layers. :type bhid: theano.tensor.TensorType :param bhid: Theano variable pointing to a set of biases values (for hidden units). :type bvis: theano.tensor.TensorType :param bvis: Theano variable pointing to a set of biases values (for visible units). :type W_name: string :param W_name: name to be assigned to the W matrix. :type bvis_name: string :param bvis_name: name to be assigned to the bvis vector. :type bhid_name: string :param bhid_name: name to be assigned to the bhid vector. :type sparse_init: int :param sparse_init: Initialize the weight matrices using Martens sparse initialization (Martens ICML 2010) >0 specifies the number of units in the layer that have initial weights drawn from a N(0,1). Use -1 for Glorot & Bengio (i.e dense) init. """ super(BernoulliAutoEncoder,self).__init__(numpy_rng, theano_rng, input, n_visible, n_hidden, W, bhid, bvis, W_name, bvis_name, bhid_name,sparse_init) self.output = T.nnet.sigmoid(T.dot(input, self.W) + self.b) @classmethod def class_from_values(cls, *args, **kwargs): """ This constructor is intended for dynamically constructing a dA layer subclass Args that always get specified in this constructor: numpy_rng, theano_rng, input, n_visible, n_hidden, W_name, bvis_name, bhid_name Args that *sometimes* get specified in this constructor: W, bvis, bhid, sparse_init """ keys = kwargs.keys() if 'W' not in keys: kwargs['W'] = None if 'bhid' not in keys: kwargs['bhid'] = None if 'bvis' not in keys: kwargs['bvis'] = None if 'sparse_init' not in keys: kwargs['sparse_init'] = -1 return cls(numpy_rng=kwargs['numpy_rng'], theano_rng=kwargs['theano_rng'], input=kwargs['input'], n_visible=kwargs['n_visible'], n_hidden=kwargs['n_hidden'], W=kwargs['W'], bhid=kwargs['bhid'], bvis=kwargs['bvis'], W_name=kwargs['W_name'], bvis_name=kwargs['bvis_name'], bhid_name=kwargs['bhid_name'], sparse_init=kwargs['sparse_init']) def get_hidden_values(self, input): """ Compute the values of the hidden layer """ return T.nnet.sigmoid(T.dot(input, self.W) + self.b) def get_reconstructed_input(self, hidden): """ Compute the reconstructed input given the hidden rep'n """ return T.nnet.sigmoid(T.dot(hidden, self.W_prime) + self.b_prime) def get_cost_updates(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input """ x_corrupted = super(BernoulliAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Use the cross entropy loss L = -T.sum(self.x * T.log(z) + (1 - self.x) * T.log(1 - z), axis=1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of updates to each param updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, param - learning_rate * gparam)) return (cost, updates) def get_cost_gparams(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input (with corruption). Instead of returning a list of tuples (updates) were the rval has the form of an update to a theano.tensor variable (param, update_value), return instead (param, gparam).""" x_corrupted = super(BernoulliAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of parameter, gradient tuples updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, gparam)) return (cost, updates) class GaussianAutoEncoder(AutoEncoder): def __init__(self, numpy_rng, theano_rng=None, input=None, n_visible=784, n_hidden=500, W=None, bhid=None, bvis=None, W_name=None, bvis_name=None, bhid_name=None, sparse_init=-1): """ A de-noising AutoEncoder with Gaussian visible units :type numpy_rng: numpy.random.RandomState :param numpy_rng: number random generator used to generate weights :type theano_rng: theano.tensor.shared_randomstreams.RandomStreams :param theano_rng: Theano random generator; if None is given one is generated based on a seed drawn from `rng` :type input: theano.tensor.TensorType :paran input: a symbolic description of the input or None for standalone dA :type n_visible: int :param n_visible: number of visible units :type n_hidden: int :param n_hidden: number of hidden units :type W: theano.tensor.TensorType :param W: Theano variable pointing to a set of weights that should be shared Theano variables connecting the visible and hidden layers. :type bhid: theano.tensor.TensorType :param bhid: Theano variable pointing to a set of biases values (for hidden units). :type bvis: theano.tensor.TensorType :param bvis: Theano variable pointing to a set of biases values (for visible units). :type W_name: string :param W_name: name to be assigned to the W matrix. :type bvis_name: string :param bvis_name: name to be assigned to the bvis vector. :type bhid_name: string :param bhid_name: name to be assigned to the bhid vector. :type sparse_init: int :param sparse_init: Initialize the weight matrices using Martens sparse initialization (Martens ICML 2010) >0 specifies the number of units in the layer that have initial weights drawn from a N(0,1). Use -1 for Glorot & Bengio (i.e dense) init. """ super(GaussianAutoEncoder,self).__init__(numpy_rng, theano_rng, input, n_visible, n_hidden, W, bhid, bvis, W_name, bvis_name, bhid_name,sparse_init) self.output = T.nnet.sigmoid(T.dot(input, self.W) + self.b) @classmethod def class_from_values(cls, *args, **kwargs): """ This constructor is intended for dynamically constructing a dA layer subclass Args that always get specified through this constructor: numpy_rng, theano_rng, input, n_visible, n_hidden, W_name, bvis_name, bhid_name. Args that *might* be specified: W, bhid, bvis, sparse_init. """ keys = kwargs.keys() if 'W' not in keys: kwargs['W'] = None if 'bhid' not in keys: kwargs['bhid'] = None if 'bvis' not in keys: kwargs['bvis'] = None if 'sparse_init' not in keys: kwargs['sparse_init'] = -1 return cls(numpy_rng=kwargs['numpy_rng'], theano_rng=kwargs['theano_rng'], input=kwargs['input'], n_visible=kwargs['n_visible'], n_hidden=kwargs['n_hidden'],W=kwargs['W'], bhid=kwargs['bhid'], bvis=kwargs['bvis'],W_name=kwargs['W_name'], bvis_name=kwargs['bvis_name'], bhid_name=kwargs['bhid_name'], sparse_init=kwargs['sparse_init']) def get_hidden_values(self, input): """ Compute the values of the hidden layer """ return T.nnet.sigmoid(T.dot(input, self.W) + self.b) def get_reconstructed_input(self, hidden): """ Use a linear decoder to compute the reconstructed input given the hidden rep'n """ return T.dot(hidden, self.W_prime) + self.b_prime def get_cost_updates(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input """ x_corrupted = super(GaussianAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of updates to each param updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, param - learning_rate * gparam)) return (cost, updates) def get_cost_updates_debug(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input, return intermediate results """ x_corrupted = super(GaussianAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of updates to each param updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, param - learning_rate * gparam)) return (cost, y, z, updates) def get_cost_gparams(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input (with corruption). Instead of returning a list of tuples (updates) were the rval has the form of an update to a theano.tensor variable (param, update_value), return instead (param, gparam).""" x_corrupted = super(GaussianAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of parameter, gradient tuples updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, gparam)) return (cost, updates) class ReluAutoEncoder(AutoEncoder): def __init__(self, numpy_rng, theano_rng=None, input=None, n_visible=784, n_hidden=500, W=None, bhid=None, bvis=None, W_name=None, bvis_name=None, bhid_name=None, sparse_init=-1): """ A de-noising AutoEncoder with ReLu visible units :type numpy_rng: numpy.random.RandomState :param numpy_rng: number random generator used to generate weights :type theano_rng: theano.tensor.shared_randomstreams.RandomStreams :param theano_rng: Theano random generator; if None is given one is generated based on a seed drawn from `rng` :type input: theano.tensor.TensorType :paran input: a symbolic description of the input or None for standalone dA :type n_visible: int :param n_visible: number of visible units :type n_hidden: int :param n_hidden: number of hidden units :type W: theano.tensor.TensorType :param W: Theano variable pointing to a set of weights that should be shared Theano variables connecting the visible and hidden layers. :type bhid: theano.tensor.TensorType :param bhid: Theano variable pointing to a set of biases values (for hidden units). :type bvis: theano.tensor.TensorType :param bvis: Theano variable pointing to a set of biases values (for visible units). :type W_name: string :param W_name: name to be assigned to the W matrix. :type bvis_name: string :param bvis_name: name to be assigned to the bvis vector. :type bhid_name: string :param bhid_name: name to be assigned to the bhid vector. :type sparse_init: int :param sparse_init: Initialize the weight matrices using Martens sparse initialization (Martens ICML 2010) >0 specifies the number of units in the layer that have initial weights drawn from a N(0,1). Use -1 for Glorot & Bengio (i.e dense) init. """ # ReLU units require a different weight matrix initialization scheme #if W_name is None: #W_name = 'W' #if bvis_name is None: #bvis_name = 'bvis' #if bhid_name is None: #bhid_name = 'bhid' #if W is None: #if sparse_init > 0: #initial_W = super(ReluAutoEncoder,self).sparse_w(n_visible,n_hidden,sparse_init) #else: #initial_W = super(ReluAutoEncoder,self).dense_w(n_visible,n_hidden,numpy_rng) #W = shared(value=initial_W, name=W_name) #if bvis is None: #bvis = shared(value=np.zeros(n_visible, dtype = config.floatX), name = bvis_name) #if bhid is None: #bhid = shared(value=np.zeros(n_hidden, dtype = config.floatX), name = bhid_name) super(ReluAutoEncoder,self).__init__(numpy_rng, theano_rng, input, n_visible, n_hidden, W, bhid, bvis, W_name, bvis_name, bhid_name,sparse_init) self.pre_activation = T.dot(input, self.W) + self.b self.output = (self.pre_activation + abs(self.pre_activation)) / 2. @classmethod def class_from_values(cls, *args, **kwargs): """ This constructor is intended for dynamically constructing a dA layer subclass Args that always get specified through this version of the constructor: numpy_rng, theano_rng, input, n_visible, n_hidden, W_name, bvis_name, bhid_name. Args that *might* be specified: W, bhid, bvis. """ keys = kwargs.keys() if 'W' not in keys: kwargs['W'] = None if 'bhid' not in keys: kwargs['bhid'] = None if 'bvis' not in keys: kwargs['bvis'] = None if 'sparse_init' not in keys: kwargs['sparse_init'] = -1 return cls(numpy_rng=kwargs['numpy_rng'], theano_rng=kwargs['theano_rng'], input=kwargs['input'], n_visible=kwargs['n_visible'], n_hidden=kwargs['n_hidden'], W=kwargs['W'], bhid=kwargs['bhid'], bvis=kwargs['bvis'], W_name=kwargs['W_name'], bvis_name=kwargs['bvis_name'], bhid_name=kwargs['bhid_name'], sparse_init=kwargs['sparse_init']) def get_reconstructed_input(self, hidden): """ Use a linear decoder to compute the reconstructed input given the hidden rep'n """ return T.dot(hidden, self.W_prime) + self.b_prime def get_hidden_values(self, input): """ Apply ReLu elementwise to the transformed input """ return (T.dot(input, self.W) + self.b + abs(T.dot(input, self.W) + self.b)) / 2.0 def get_cost_updates(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input """ x_corrupted = super(ReluAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of updates to each param updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, param - learning_rate * gparam)) return (cost, updates) def get_cost_updates_safe(self, corruption_level, learning_rate, mb_size, max_grad=15.0): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input. This SGD is called safe because the gradient updates are shunted between min_grad, max_grad to try and prevent exploding gradients. """ x_corrupted = super(ReluAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # compute list of weights updates updates = [] for param, gparam in zip(self.params, gparams): UD = param - gparam * learning_rate / mb_size col_norms = UD.norm(2, axis=0) desired_norms = T.clip(col_norms, 0, max_grad) updates.append((param , UD * (desired_norms / (1e-6 + col_norms)))) return (cost, updates) def get_cost_updates_debug(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input taking into account a certain level of corruption of the input, return intermediate results """ x_corrupted = super(ReluAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of updates to each param updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, param - learning_rate * gparam)) return (cost, y, z, updates) def get_cost_gparams(self, corruption_level, learning_rate): """ Compute the reconstruction error over the mini-batched input (with corruption) But instead of returning a list of tuples (updates) were the rval has the form of an update to a theano.tensor variable (param, update_value), return instead (param, gparam).""" x_corrupted = super(ReluAutoEncoder,self).get_corrupted_input(self.x, corruption_level) y = self.get_hidden_values(x_corrupted) z = self.get_reconstructed_input(y) # Take the sum over columns # Use the squared error loss function L = T.sum((self.x - z) **2, axis = 1) cost = T.mean(L) # compute the gradients of the cost of the dA w.r.t the params gparams = T.grad(cost, self.params) # populate the list of parameter, gradient tuples updates = [] for param, gparam in zip(self.params, gparams): updates.append((param, gparam)) return (cost, updates)

44.779972

157

0.587168

4,031

31,749

4.489457

0.082362

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0.009946

0.01492

0.84141

0.828259

0.817649

0.810963

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0.78571

0

0.006

0.333333

31,749

709

158

44.779972

0.849003

0.075152

0

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0.003846

0

null

0

0.015385

null

0.007692

0

null

0

1

0

null

0

1

0

7

32de13d07920192eeaaa9e6883688f1e214ed9b5

12,714

py

Python

mayan/apps/documents/tests/test_document_views.py

atitaya1412/Mayan-EDMS

bda9302ba4b743e7d829ad118b8b836221888172

[ "Apache-2.0" ]

343

2015-01-05T14:19:35.000Z

2018-12-10T19:07:48.000Z

mayan/apps/documents/tests/test_document_views.py

atitaya1412/Mayan-EDMS

bda9302ba4b743e7d829ad118b8b836221888172

[ "Apache-2.0" ]

191

2015-01-03T00:48:19.000Z

2018-11-30T09:10:25.000Z

mayan/apps/documents/tests/test_document_views.py

atitaya1412/Mayan-EDMS

bda9302ba4b743e7d829ad118b8b836221888172

[ "Apache-2.0" ]

257

2019-05-14T10:26:37.000Z

2022-03-30T03:37:36.000Z

from django.test import override_settings from ..events import event_document_type_changed, event_document_viewed from ..permissions import ( permission_document_properties_edit, permission_document_view ) from .base import GenericDocumentViewTestCase from .mixins.document_mixins import DocumentViewTestMixin class DocumentViewTestCase( DocumentViewTestMixin, GenericDocumentViewTestCase ): auto_upload_test_document = False def setUp(self): super().setUp() self._create_test_document_stub() def test_document_properties_view_no_permission(self): self._clear_events() response = self._request_test_document_properties_view() self.assertEqual(response.status_code, 404) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_properties_view_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self._clear_events() response = self._request_test_document_properties_view() self.assertContains( response=response, status_code=200, text=self.test_document.label ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_trashed_document_properties_view_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self.test_document.delete() self._clear_events() response = self._request_test_document_properties_view() self.assertEqual(response.status_code, 404) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_properties_edit_get_view_no_permission(self): self._clear_events() response = self._request_test_document_properties_edit_get_view() self.assertEqual(response.status_code, 404) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_properties_edit_get_view_with_access(self): self.grant_access( permission=permission_document_properties_edit, obj=self.test_document_type ) self._clear_events() response = self._request_test_document_properties_edit_get_view() self.assertEqual(response.status_code, 200) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_trashed_document_properties_edit_get_view_with_access(self): self.grant_access( permission=permission_document_properties_edit, obj=self.test_document_type ) self.test_document.delete() self._clear_events() response = self._request_test_document_properties_edit_get_view() self.assertEqual(response.status_code, 404) events = self._get_test_events() self.assertEqual(events.count(), 0) @override_settings(DOCUMENTS_LANGUAGE='fra') def test_document_properties_view_setting_non_us_language_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self._clear_events() response = self._request_test_document_properties_view() self.assertContains( response=response, status_code=200, text=self.test_document.label ) self.assertContains( response=response, status_code=200, text='Language:</label>\n \n \n English' ) events = self._get_test_events() self.assertEqual(events.count(), 0) @override_settings(DOCUMENTS_LANGUAGE='fra') def test_document_properties_edit_get_view_setting_non_us_language_with_access(self): self.grant_access( permission=permission_document_properties_edit, obj=self.test_document_type ) self._clear_events() response = self._request_test_document_properties_edit_get_view() self.assertContains( response=response, status_code=200, text='<option value="eng" selected>English</option>', ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_list_view_no_permission(self): self._clear_events() response = self._request_test_document_list_view() self.assertEqual(response.status_code, 200) self.assertEqual(response.context['object_list'].count(), 0) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_list_view_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self._clear_events() response = self._request_test_document_list_view() self.assertContains( response=response, status_code=200, text=self.test_document.label ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_trashed_document_list_view_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self.test_document.delete() self._clear_events() response = self._request_test_document_list_view() self.assertNotContains( response=response, status_code=200, text=self.test_document.label ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_type_change_post_view_no_permission(self): self._create_test_document_type() document_type = self.test_document.document_type self._clear_events() response = self._request_test_document_type_change_post_view() self.assertEqual(response.status_code, 404) self.test_document.refresh_from_db() self.assertEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_type_change_post_view_with_access(self): self._create_test_document_type() document_type = self.test_document.document_type self.grant_access( obj=self.test_document, permission=permission_document_properties_edit ) self._clear_events() response = self._request_test_document_type_change_post_view() self.assertEqual(response.status_code, 302) self.test_document.refresh_from_db() self.assertNotEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 1) self.assertEqual(events[0].action_object, self.test_document_types[1]) self.assertEqual(events[0].actor, self._test_case_user) self.assertEqual(events[0].target, self.test_document) self.assertEqual(events[0].verb, event_document_type_changed.id) def test_trashed_document_document_type_change_post_view_with_access(self): self._create_test_document_type() document_type = self.test_document.document_type self.grant_access( obj=self.test_document, permission=permission_document_properties_edit ) self.test_document.delete() self._clear_events() response = self._request_test_document_type_change_post_view() self.assertEqual(response.status_code, 404) self.test_document.refresh_from_db() self.assertEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_type_change_view_get_no_permission(self): self._create_test_document_type() document_type = self.test_document.document_type self._clear_events() response = self._request_test_document_type_change_get_view() self.assertEqual(response.status_code, 404) self.test_document.refresh_from_db() self.assertEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_type_change_view_get_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_properties_edit ) self._clear_events() response = self._request_test_document_type_change_get_view() self.assertEqual(response.status_code, 200) self.test_document.refresh_from_db() self.assertEqual( self.test_document.document_type, self.test_document_type ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_trashed_document_type_change_view_get_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_properties_edit ) self._create_test_document_type() document_type = self.test_document.document_type self.test_document.delete() self._clear_events() response = self._request_test_document_type_change_get_view() self.assertEqual(response.status_code, 404) self.test_document.refresh_from_db() self.assertEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_multiple_document_type_change_view_no_permission(self): self._create_test_document_type() document_type = self.test_document.document_type self._clear_events() response = self._request_test_document_multiple_type_change() self.assertEqual(response.status_code, 404) self.test_document.refresh_from_db() self.assertEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_multiple_document_type_change_view_with_permission(self): self.grant_access( obj=self.test_document, permission=permission_document_properties_edit ) self._create_test_document_type() document_type = self.test_document.document_type self._clear_events() response = self._request_test_document_multiple_type_change() self.assertEqual(response.status_code, 302) self.test_document.refresh_from_db() self.assertNotEqual( self.test_document.document_type, document_type ) events = self._get_test_events() self.assertEqual(events.count(), 1) self.assertEqual(events[0].action_object, self.test_document_types[1]) self.assertEqual(events[0].actor, self._test_case_user) self.assertEqual(events[0].target, self.test_document) self.assertEqual(events[0].verb, event_document_type_changed.id) def test_document_preview_view_no_permission(self): self._clear_events() response = self._request_test_document_preview_view() self.assertEqual(response.status_code, 404) events = self._get_test_events() self.assertEqual(events.count(), 0) def test_document_preview_view_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self._clear_events() response = self._request_test_document_preview_view() self.assertContains( response=response, status_code=200, text=self.test_document.label ) events = self._get_test_events() self.assertEqual(events.count(), 1) self.assertEqual(events[0].action_object, None) self.assertEqual(events[0].actor, self._test_case_user) self.assertEqual(events[0].target, self.test_document) self.assertEqual(events[0].verb, event_document_viewed.id) def test_trashed_document_preview_view_with_access(self): self.grant_access( obj=self.test_document, permission=permission_document_view ) self.test_document.delete() self._clear_events() response = self._request_test_document_preview_view() self.assertEqual(response.status_code, 404) events = self._get_test_events() self.assertEqual(events.count(), 0)

31.626866

101

0.68869

1,451

12,714

5.58856

0.059959

0.150943

0.108521

0.0624

0.932051

0.923295

0.922432

0.909977

0.904181

0

0.010831

0.230219

12,714

401

102

31.705736

0.817717

0

0.742049

0

0.011326

0.001966

0

0.233216

1

0.081272

false

0

0.017668

0

0.106007

0

null

0

1

0

1

0

null

0

7

b5dbb250062e60fe2fec3123cfe97d971434e7c7

594

py

Python

Utilities/Time.py

Lucas-Uchiha/FuinhaBot

f9e17fbe9d728916fa165c127a1e895e7873c407

[ "MIT" ]

null

Utilities/Time.py

Lucas-Uchiha/FuinhaBot

f9e17fbe9d728916fa165c127a1e895e7873c407

[ "MIT" ]

null

Utilities/Time.py

Lucas-Uchiha/FuinhaBot

f9e17fbe9d728916fa165c127a1e895e7873c407

[ "MIT" ]

null

# Gerencia informações de data e hora from datetime import datetime class Time: @staticmethod def agora(): return datetime.timestamp(datetime.now()) @staticmethod def dia(): return datetime.now().strftime("%d") @staticmethod def mes(): return datetime.now().strftime("%m") @staticmethod def ano(): return datetime.now().strftime("%Y") @staticmethod def dataFormatada(): return datetime.now().strftime("%d-%m-%Y") @staticmethod def horaFormatada(): return datetime.now().strftime("%H:%M:%S")

20.482759

50

0.611111

64

594

5.671875

0.4375

0.247934

0.23416

0.344353

0.143251

0

0.245791

594

28

51

21.214286

0.810268

0.058923

0

0.3

0

0.039497

0

1

0.3

true

0

0.05

0.3

0.7

0

null

1

0

null

0

1

0

1

0

7

bd29aa1762e8d90998171623db9ebd5d58930736

15,643

py

Python

aws-dev/awsdev8/venv/Lib/site-packages/amazondax/generated/Stubs.py

PacktPublishing/-AWS-Certified-Developer---Associate-Certification

3f76e3d3df6797705b5b30ae574fe678250d5e92

[ "MIT" ]

13

2020-02-02T13:53:50.000Z

2022-03-20T19:50:02.000Z

aws-dev/awsdev8/venv/Lib/site-packages/amazondax/generated/Stubs(1).py

PacktPublishing/-AWS-Certified-Developer---Associate-Certification

3f76e3d3df6797705b5b30ae574fe678250d5e92

[ "MIT" ]

2

2020-03-29T19:08:04.000Z

2021-06-02T00:57:44.000Z

aws-dev/awsdev8/venv/Lib/site-packages/amazondax/generated/Stubs(1).py

PacktPublishing/-AWS-Certified-Developer---Associate-Certification

3f76e3d3df6797705b5b30ae574fe678250d5e92

[ "MIT" ]

10

2019-12-25T20:42:37.000Z

2021-11-17T15:19:00.000Z

# # Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You may not # use this file except in compliance with the License. A copy of the License # is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is distributed on # an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either # express or implied. See the License for the specific language governing # permissions and limitations under the License. # from .. import Constants, AttributeValueEncoder def write_authorizeConnection_1489122155_1(accessKeyId, signature, stringToSign, sessionToken, userAgent, tube): tube.write_int(1) tube.write_int(1489122155) tube.write_string(accessKeyId) tube.write_string(signature) tube.write_binary(stringToSign) if sessionToken is None: tube.write_null() else: tube.write_string(sessionToken) if userAgent is None: tube.write_null() else: tube.write_string(userAgent) tube.flush() def write_batchGetItem_N697851100_1(request, tube): tube.write_int(1) tube.write_int(-697851100) AttributeValueEncoder.encode_batchGetItem_N697851100_1_getItemKeys_direct(tube.enc, request) has_kwargs = (("ReturnConsumedCapacity" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) tube.enc.append_break() else: tube.write_null() tube.flush() def write_batchWriteItem_116217951_1(request, tube): tube.write_int(1) tube.write_int(116217951) AttributeValueEncoder.encode_batchWriteItem_116217951_1_keyValuesByTable_direct(tube.enc, request) has_kwargs = (("ReturnConsumedCapacity" in request) or ("ReturnItemCollectionMetrics" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) if 'ReturnItemCollectionMetrics' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnItemCollectionMetrics) tube.write_int(getattr(Constants.ReturnItemCollectionMetricsValues, request.ReturnItemCollectionMetrics.upper())) tube.enc.append_break() else: tube.write_null() tube.flush() def write_defineAttributeList_670678385_1(attributeListId, tube): tube.write_int(1) tube.write_int(670678385) tube.write_int(attributeListId) tube.flush() def write_defineAttributeListId_N1230579644_1(attributeNames, tube): tube.write_int(1) tube.write_int(-1230579644) tube.write_array(attributeNames) tube.flush() def write_defineKeySchema_N742646399_1(tableName, tube): tube.write_int(1) tube.write_int(-742646399) tube.write_binary(tableName) tube.flush() def write_deleteItem_1013539361_1(request, tube): tube.write_int(1) tube.write_int(1013539361) tube.write_binary(request.TableName) tube.write_binary(AttributeValueEncoder.encode_key(request.Key, request._key_schema)) has_kwargs = (("ReturnValues" in request) or ("ReturnConsumedCapacity" in request) or ("ReturnItemCollectionMetrics" in request) or ("ConditionExpression" in request) or ("ExpressionAttributeNames" in request) or ("ExpressionAttributeValues" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'ReturnValues' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnValues) tube.write_int(getattr(Constants.ReturnValuesValues, request.ReturnValues.upper())) if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) if 'ReturnItemCollectionMetrics' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnItemCollectionMetrics) tube.write_int(getattr(Constants.ReturnItemCollectionMetricsValues, request.ReturnItemCollectionMetrics.upper())) if 'ConditionExpression' in request: tube.write_int(Constants.DaxDataRequestParam.ConditionExpression) # kwargs strings are always written as UTF-8 encoded binary types tube.write_binary(request.ConditionExpression.encode('utf8')) # This operation has expressions, so deal with those together AttributeValueEncoder.encode_expressions_direct(tube.enc, request) tube.enc.append_break() else: tube.write_null() tube.flush() def write_endpoints_455855874_1(tube): tube.write_int(1) tube.write_int(455855874) tube.flush() def write_getItem_263244906_1(request, tube): tube.write_int(1) tube.write_int(263244906) tube.write_binary(request.TableName) tube.write_binary(AttributeValueEncoder.encode_key(request.Key, request._key_schema)) has_kwargs = (("ConsistentRead" in request) or ("ReturnConsumedCapacity" in request) or ("ProjectionExpression" in request) or ("ExpressionAttributeNames" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'ConsistentRead' in request: tube.write_int(Constants.DaxDataRequestParam.ConsistentRead) tube.write_boolean(request.ConsistentRead) if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) # This operation has expressions, so deal with those together AttributeValueEncoder.encode_expressions_direct(tube.enc, request) tube.enc.append_break() else: tube.write_null() tube.flush() def write_putItem_N2106490455_1(request, tube): tube.write_int(1) tube.write_int(-2106490455) tube.write_binary(request.TableName) tube.write_binary(AttributeValueEncoder.encode_key(request.Item, request._key_schema)) tube.write_binary(AttributeValueEncoder.encode_values(request.Item, request._key_schema, request._attr_names, request._attr_list_id)); has_kwargs = (("ReturnValues" in request) or ("ReturnConsumedCapacity" in request) or ("ReturnItemCollectionMetrics" in request) or ("ConditionExpression" in request) or ("ExpressionAttributeNames" in request) or ("ExpressionAttributeValues" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'ReturnValues' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnValues) tube.write_int(getattr(Constants.ReturnValuesValues, request.ReturnValues.upper())) if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) if 'ReturnItemCollectionMetrics' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnItemCollectionMetrics) tube.write_int(getattr(Constants.ReturnItemCollectionMetricsValues, request.ReturnItemCollectionMetrics.upper())) if 'ConditionExpression' in request: tube.write_int(Constants.DaxDataRequestParam.ConditionExpression) # kwargs strings are always written as UTF-8 encoded binary types tube.write_binary(request.ConditionExpression.encode('utf8')) # This operation has expressions, so deal with those together AttributeValueEncoder.encode_expressions_direct(tube.enc, request) tube.enc.append_break() else: tube.write_null() tube.flush() def write_query_N931250863_1(request, tube): tube.write_int(1) tube.write_int(-931250863) tube.write_binary(request.TableName) expressions = AttributeValueEncoder.encode_key_condition_expression_direct(tube.enc, request) has_kwargs = (("IndexName" in request) or ("Select" in request) or ("Limit" in request) or ("ConsistentRead" in request) or ("ScanIndexForward" in request) or ("ExclusiveStartKey" in request) or ("ReturnConsumedCapacity" in request) or ("ProjectionExpression" in request) or ("FilterExpression" in request) or ("ExpressionAttributeNames" in request) or ("ExpressionAttributeValues" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'IndexName' in request: tube.write_int(Constants.DaxDataRequestParam.IndexName) # kwargs strings are always written as UTF-8 encoded binary types tube.write_binary(request.IndexName.encode('utf8')) if 'Select' in request: tube.write_int(Constants.DaxDataRequestParam.Select) tube.write_int(getattr(Constants.SelectValues, request.Select.upper())) if 'Limit' in request: tube.write_int(Constants.DaxDataRequestParam.Limit) tube.write_int(request.Limit) if 'ConsistentRead' in request: tube.write_int(Constants.DaxDataRequestParam.ConsistentRead) tube.write_int(int(request.ConsistentRead)) if 'ScanIndexForward' in request: tube.write_int(Constants.DaxDataRequestParam.ScanIndexForward) tube.write_int(int(request.ScanIndexForward)) if 'ExclusiveStartKey' in request: tube.write_int(Constants.DaxDataRequestParam.ExclusiveStartKey) # No encoder for map so use custom encoder AttributeValueEncoder.encode_ExclusiveStartKey_direct(tube.enc, request) if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) # This operation has expressions, so deal with those together # For Query, the expressions are already eval'd for KeyCondExpr AttributeValueEncoder.write_expressions_direct(tube.enc, expressions, request) tube.enc.append_break() else: tube.write_null() tube.flush() def write_scan_N1875390620_1(request, tube): tube.write_int(1) tube.write_int(-1875390620) tube.write_binary(request.TableName) has_kwargs = (("IndexName" in request) or ("Limit" in request) or ("Select" in request) or ("ExclusiveStartKey" in request) or ("ReturnConsumedCapacity" in request) or ("TotalSegments" in request) or ("Segment" in request) or ("ProjectionExpression" in request) or ("FilterExpression" in request) or ("ExpressionAttributeNames" in request) or ("ExpressionAttributeValues" in request) or ("ConsistentRead" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'IndexName' in request: tube.write_int(Constants.DaxDataRequestParam.IndexName) # kwargs strings are always written as UTF-8 encoded binary types tube.write_binary(request.IndexName.encode('utf8')) if 'Limit' in request: tube.write_int(Constants.DaxDataRequestParam.Limit) tube.write_int(request.Limit) if 'Select' in request: tube.write_int(Constants.DaxDataRequestParam.Select) tube.write_int(getattr(Constants.SelectValues, request.Select.upper())) if 'ExclusiveStartKey' in request: tube.write_int(Constants.DaxDataRequestParam.ExclusiveStartKey) # No encoder for map so use custom encoder AttributeValueEncoder.encode_ExclusiveStartKey_direct(tube.enc, request) if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) if 'TotalSegments' in request: tube.write_int(Constants.DaxDataRequestParam.TotalSegments) tube.write_int(request.TotalSegments) if 'Segment' in request: tube.write_int(Constants.DaxDataRequestParam.Segment) tube.write_int(request.Segment) if 'ConsistentRead' in request: tube.write_int(Constants.DaxDataRequestParam.ConsistentRead) tube.write_int(int(request.ConsistentRead)) # This operation has expressions, so deal with those together AttributeValueEncoder.encode_expressions_direct(tube.enc, request) tube.enc.append_break() else: tube.write_null() tube.flush() def write_updateItem_1425579023_1(request, tube): tube.write_int(1) tube.write_int(1425579023) tube.write_binary(request.TableName) tube.write_binary(AttributeValueEncoder.encode_key(request.Key, request._key_schema)) has_kwargs = (("ReturnValues" in request) or ("ReturnConsumedCapacity" in request) or ("ReturnItemCollectionMetrics" in request) or ("UpdateExpression" in request) or ("ConditionExpression" in request) or ("ExpressionAttributeNames" in request) or ("ExpressionAttributeValues" in request)) if has_kwargs: tube.enc.append_map_stream_header() if 'ReturnValues' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnValues) tube.write_int(getattr(Constants.ReturnValuesValues, request.ReturnValues.upper())) if 'ReturnConsumedCapacity' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnConsumedCapacity) tube.write_int(getattr(Constants.ReturnConsumedCapacityValues, request.ReturnConsumedCapacity.upper())) if 'ReturnItemCollectionMetrics' in request: tube.write_int(Constants.DaxDataRequestParam.ReturnItemCollectionMetrics) tube.write_int(getattr(Constants.ReturnItemCollectionMetricsValues, request.ReturnItemCollectionMetrics.upper())) if 'ConditionExpression' in request: tube.write_int(Constants.DaxDataRequestParam.ConditionExpression) # kwargs strings are always written as UTF-8 encoded binary types tube.write_binary(request.ConditionExpression.encode('utf8')) # This operation has expressions, so deal with those together AttributeValueEncoder.encode_expressions_direct(tube.enc, request) tube.enc.append_break() else: tube.write_null() tube.flush()

40.110256

138

0.694943

1,570

15,643

6.76242

0.119108

0.099181

0.093812

0.054253

0.825186

0.808891

0.797683

0.773853

0.760196

0.742583

0

0.02554

0.224062

15,643

389

139

40.213368

0.849151

0.088091

0

0.761029

0

0.102227

0.058807

0

1

0.047794

false

0

0.003676

0

0.051471

0

null

0

1

0

1

0

null

0

7

1f820ba0b5d23e9c582b771d069724fec5bfa6e4

13,136

py

Python

graylog/apis/systemcluster_api.py

yumimobi/graylog.py

3118f4a49c91c2cbbd660523b0ab99e56fbfd861

[ "Apache-2.0" ]

10

2016-09-27T08:13:22.000Z

2018-09-04T13:15:42.000Z

graylog/apis/systemcluster_api.py

yumimobi/graylog.py

3118f4a49c91c2cbbd660523b0ab99e56fbfd861

[ "Apache-2.0" ]

1

2019-08-28T16:16:09.000Z

graylog/apis/systemcluster_api.py

yumimobi/graylog.py

3118f4a49c91c2cbbd660523b0ab99e56fbfd861

[ "Apache-2.0" ]

5

2016-11-03T07:45:18.000Z

2021-08-19T14:21:49.000Z

# coding: utf-8 """ No descripton provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.1.1+01d50e5 Generated by: https://github.com/swagger-api/swagger-codegen.git Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class SystemclusterApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def node(self, **kwargs): """ Information about this node. This is returning information of this node in context to its state in the cluster. Use the system API of the node itself to get system information. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.node(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: NodeSummary If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.node_with_http_info(**kwargs) else: (data) = self.node_with_http_info(**kwargs) return data def node_with_http_info(self, **kwargs): """ Information about this node. This is returning information of this node in context to its state in the cluster. Use the system API of the node itself to get system information. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.node_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: NodeSummary If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method node" % key ) params[key] = val del params['kwargs'] resource_path = '/system/cluster/node'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='NodeSummary', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def node_0(self, node_id, **kwargs): """ Information about a node. This is returning information of a node in context to its state in the cluster. Use the system API of the node itself to get system information. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.node_0(node_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param Object node_id: (required) :return: NodeSummary If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.node_0_with_http_info(node_id, **kwargs) else: (data) = self.node_0_with_http_info(node_id, **kwargs) return data def node_0_with_http_info(self, node_id, **kwargs): """ Information about a node. This is returning information of a node in context to its state in the cluster. Use the system API of the node itself to get system information. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.node_0_with_http_info(node_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param Object node_id: (required) :return: NodeSummary If the method is called asynchronously, returns the request thread. """ all_params = ['node_id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method node_0" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'node_id' is set if ('node_id' not in params) or (params['node_id'] is None): raise ValueError("Missing the required parameter `node_id` when calling `node_0`") resource_path = '/system/cluster/nodes/{nodeId}'.replace('{format}', 'json') path_params = {} if 'node_id' in params: path_params['nodeId'] = params['node_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='NodeSummary', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def nodes(self, **kwargs): """ List all active nodes in this cluster. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.nodes(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: NodeSummaryList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.nodes_with_http_info(**kwargs) else: (data) = self.nodes_with_http_info(**kwargs) return data def nodes_with_http_info(self, **kwargs): """ List all active nodes in this cluster. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.nodes_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: NodeSummaryList If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method nodes" % key ) params[key] = val del params['kwargs'] resource_path = '/system/cluster/nodes'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type([]) # Authentication setting auth_settings = [] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='NodeSummaryList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'))

37.531429

155

0.564099

1,385

13,136

5.168231

0.145848

0.067058

0.021794

0.030176

0.846186

0.814334

0.812378

0.77354

0.765437

0

0.002732

0.359166

13,136

349

156

37.638968

0.847589

0.384896

0

0.729032

1

0

0.120022

0.03455

0

1

0.045161

false

0

0.045161

0

0.154839

0

null

0

1

0

1

0

null

0

8

1f9284a03ce8a2d26c4826d0023374c94f930301

22,461

py

Python

tests/camel_test_values.py

katapal/python-bandwidth

4477c4129ce856ccd41adbc94e951336b56d7898

[ "MIT" ]

18

2017-03-07T18:49:19.000Z

2020-11-04T14:27:37.000Z

tests/camel_test_values.py

katapal/python-bandwidth

4477c4129ce856ccd41adbc94e951336b56d7898

[ "MIT" ]

12

2016-11-14T21:43:46.000Z

2019-10-11T20:18:51.000Z

tests/camel_test_values.py

katapal/python-bandwidth

4477c4129ce856ccd41adbc94e951336b56d7898

[ "MIT" ]

13

2017-10-10T17:50:00.000Z

2020-08-13T13:14:22.000Z

before_array_dict = [ {"theRealCat": "unavailable", "code": "callback-http-failure-status", "nestedDeeply": { "stillNesting": { "yetStillNesting": { "wowSuchNest": True } } }, "details": [{"nextId": "ued-abc123", "name": "callnextId", "superValue": "c-abc123"}, {"nextId": "ued-abc123", "name": "callbackStatusCode", "superValue": "404"}, {"nextId": "ued-abc123", "name": "totalDuration", "superValue": "55"}, {"nextId": "ued-abc123", "name": "responseDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "requestDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "callbackUrl", "superValue": "http://google.com"}, {"nextId": "ued-abc123", "name": "callbackMethod", "superValue": "POST"}, {"nextId": "ued-abc123", "name": "callbackEvent", "superValue": "hangup"}], "nextId": "ue-abc123", "message": "The callback returned an HTTP failure status", "time": "2017-02-28T15:40:35Z"}, {"theRealCat": "unavailable", "code": "callback-http-failure-status", "newErrorMessage": [ [ "a", "b", "c" ], [ "a", "b", "c" ] ], "errorMessagesABC123": [ { "valueLesser": [ { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEzzznabled": True, "bigDisabled": [ "abc", "123", "xyz" ] } ] }, { "valueLesser": [ { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] } ] }, { "valueLesser": [ { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] } ] }, { "valueLesser": [ { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] }, { "smallEnabled": True, "bigDisabled": [ "abc", "123", "xyz" ] } ] } ], "details": [{"nextId": "ued-abc123", "name": "callnextId", "superValue": "c-abc123"}, {"nextId": "ued-abc123", "name": "callbackStatusCode", "superValue": "404"}, {"nextId": "ued-abc123", "name": "totalDuration", "superValue": "7195"}, {"nextId": "ued-abc123", "name": "responseDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "requestDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "callbackUrl", "superValue": "http://google.com"}, {"nextId": "ued-abc123", "name": "callbackMethod", "superValue": "POST"}, {"nextId": "ued-abc123", "name": "callbackEvent", "superValue": "incomingcall"}], "nextId": "ue-abc123", "message": "The callback returned an HTTP failure status", "time": "2017-02-28T15:40:03Z"}, {"theRealCat": "unavailable", "code": "callback-http-failure-status", "details": [{"nextId": "ued-abc123", "name": "messagenextId", "superValue": "m-abc123"}, {"nextId": "ued-abc123", "name": "totalDuration", "superValue": "37"}, {"nextId": "ued-abc123", "name": "responseDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "callbackStatusCode", "superValue": "405"}, {"nextId": "ued-abc123", "name": "requestDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "callbackUrl", "superValue": "http://google.com"}, {"nextId": "ued-abc123", "name": "callbackMethod", "superValue": "POST"}, {"nextId": "ued-abc123", "name": "callbackEvent", "superValue": "sms"}], "nextId": "ue-abc123", "message": "The callback returned an HTTP failure status", "time": "2017-02-27T16:45:54Z"}, {"theRealCat": "unavailable", "code": "callback-http-failure-status", "details": [{"nextId": "ued-abc123", "name": "totalDuration", "superValue": "20"}, {"nextId": "ued-abc123", "name": "responseDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "requestDuration", "superValue": "0"}, {"nextId": "ued-abc123", "name": "callbackUrl", "superValue": "http://google.com"}, {"nextId": "ued-abc123", "name": "messagenextId", "superValue": "m-abc123"}, {"nextId": "ued-abc123", "name": "callbackStatusCode", "superValue": "405"}, {"nextId": "ued-abc123", "name": "callbackMethod", "superValue": "POST"}, {"nextId": "ued-abc123", "name": "callbackEvent", "superValue": "sms"}], "nextId": "ue-abc123", "message": "The callback returned an HTTP failure status", "time": "2017-02-27T16:45:50Z"}] after_array_dict = [{'code': 'callback-http-failure-status', 'details': [{'name': 'callnextId', 'next_id': 'ued-abc123', 'super_value': 'c-abc123'}, {'name': 'callbackStatusCode', 'next_id': 'ued-abc123', 'super_value': '404'}, {'name': 'totalDuration', 'next_id': 'ued-abc123', 'super_value': '55'}, {'name': 'responseDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'requestDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'callbackUrl', 'next_id': 'ued-abc123', 'super_value': 'http://google.com'}, {'name': 'callbackMethod', 'next_id': 'ued-abc123', 'super_value': 'POST'}, {'name': 'callbackEvent', 'next_id': 'ued-abc123', 'super_value': 'hangup'}], 'message': 'The callback returned an HTTP failure status', 'nested_deeply': {'still_nesting': {'yet_still_nesting': {'wow_such_nest': True}}}, 'next_id': 'ue-abc123', 'the_real_cat': 'unavailable', 'time': '2017-02-28T15:40:35Z'}, {'code': 'callback-http-failure-status', 'details': [{'name': 'callnextId', 'next_id': 'ued-abc123', 'super_value': 'c-abc123'}, {'name': 'callbackStatusCode', 'next_id': 'ued-abc123', 'super_value': '404'}, {'name': 'totalDuration', 'next_id': 'ued-abc123', 'super_value': '7195'}, {'name': 'responseDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'requestDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'callbackUrl', 'next_id': 'ued-abc123', 'super_value': 'http://google.com'}, {'name': 'callbackMethod', 'next_id': 'ued-abc123', 'super_value': 'POST'}, {'name': 'callbackEvent', 'next_id': 'ued-abc123', 'super_value': 'incomingcall'}], 'error_messages_abc123': [{'value_lesser': [{'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_ezzznabled': True}]}, {'value_lesser': [{'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}]}, {'value_lesser': [{'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}]}, {'value_lesser': [{'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}, {'big_disabled': ['abc', '123', 'xyz'], 'small_enabled': True}]}], 'message': 'The callback returned an HTTP failure status', 'new_error_message': [['a', 'b', 'c'], ['a', 'b', 'c']], 'next_id': 'ue-abc123', 'the_real_cat': 'unavailable', 'time': '2017-02-28T15:40:03Z'}, {'code': 'callback-http-failure-status', 'details': [{'name': 'messagenextId', 'next_id': 'ued-abc123', 'super_value': 'm-abc123'}, {'name': 'totalDuration', 'next_id': 'ued-abc123', 'super_value': '37'}, {'name': 'responseDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'callbackStatusCode', 'next_id': 'ued-abc123', 'super_value': '405'}, {'name': 'requestDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'callbackUrl', 'next_id': 'ued-abc123', 'super_value': 'http://google.com'}, {'name': 'callbackMethod', 'next_id': 'ued-abc123', 'super_value': 'POST'}, {'name': 'callbackEvent', 'next_id': 'ued-abc123', 'super_value': 'sms'}], 'message': 'The callback returned an HTTP failure status', 'next_id': 'ue-abc123', 'the_real_cat': 'unavailable', 'time': '2017-02-27T16:45:54Z'}, {'code': 'callback-http-failure-status', 'details': [{'name': 'totalDuration', 'next_id': 'ued-abc123', 'super_value': '20'}, {'name': 'responseDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'requestDuration', 'next_id': 'ued-abc123', 'super_value': '0'}, {'name': 'callbackUrl', 'next_id': 'ued-abc123', 'super_value': 'http://google.com'}, {'name': 'messagenextId', 'next_id': 'ued-abc123', 'super_value': 'm-abc123'}, {'name': 'callbackStatusCode', 'next_id': 'ued-abc123', 'super_value': '405'}, {'name': 'callbackMethod', 'next_id': 'ued-abc123', 'super_value': 'POST'}, {'name': 'callbackEvent', 'next_id': 'ued-abc123', 'super_value': 'sms'}], 'message': 'The callback returned an HTTP failure status', 'next_id': 'ue-abc123', 'the_real_cat': 'unavailable', 'time': '2017-02-27T16:45:50Z'}] {'created_time': '2014-04-14T19:16:07Z', 'id': 'n-dsd3wg3o4ng33icuooksngi', 'name': 'Jailbreak Phone', 'national_number': '(502) 286-6496', 'number': '+15022866496', 'number_state': 'released', 'price': '0.35'}

47.486258

104

0.261208

1,052

22,461

5.454373

0.110266

0.100383

0.083653

0.10596

0.925932

0.911642

0.881666

0.852039

0

0.065793

0.62308

22,461

472

105

47.586864

0.611977

0

0.764454

0

0.263835

0.012021

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

1f92be7e17366c6452310a943e4ca8e5dfec4e38

40

py

Python

Avaliacion9.py

JoaozinhoProgramation/infosatc-lp-avaliativo-02

9049f69c3d66767e1b26bdd4f980eacbcede8713

[ "MIT" ]

null

Avaliacion9.py

JoaozinhoProgramation/infosatc-lp-avaliativo-02

9049f69c3d66767e1b26bdd4f980eacbcede8713

[ "MIT" ]

null

Avaliacion9.py

JoaozinhoProgramation/infosatc-lp-avaliativo-02

9049f69c3d66767e1b26bdd4f980eacbcede8713

[ "MIT" ]

null

n = [2,4,3,1,5,9,6,7,8] print(sorted(n))

20

23

0.55

13

40

1.692308

0.923077

0

0.243243

0.075

40

2

24

20

0.351351

0

1

0

false

0

0.5

1

null

0

1

0

1

0

1

0

null

0

1

0

7