xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

c49d55529ad912ba69b64da40285b1bb366644d5

44

py

Python

tests/__init__.py

BorgwardtLab/Topf

9468bc40532b9b249de2c26ffb4f4a03b56008fe

[ "BSD-3-Clause" ]

1

2021-09-07T04:42:29.000Z

tests/__init__.py

BorgwardtLab/Topf

9468bc40532b9b249de2c26ffb4f4a03b56008fe

[ "BSD-3-Clause" ]

null

tests/__init__.py

BorgwardtLab/Topf

9468bc40532b9b249de2c26ffb4f4a03b56008fe

[ "BSD-3-Clause" ]

2

2021-06-25T18:44:19.000Z

2021-09-07T04:42:39.000Z

from .test_persistence_transformer import *

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0

1

0

6

c4a799c2d8a539e2a349574873170af90c934e0f

314

py

Python

timeapp/signals.py

iskenderunlu/jogging-time-management

1cf88bee2abe1f237a2e6f194264064ec89d6e4a

[ "MIT" ]

null

timeapp/signals.py

iskenderunlu/jogging-time-management

1cf88bee2abe1f237a2e6f194264064ec89d6e4a

[ "MIT" ]

null

timeapp/signals.py

iskenderunlu/jogging-time-management

1cf88bee2abe1f237a2e6f194264064ec89d6e4a

[ "MIT" ]

null

from django.db.models.signals import post_save from django.dispatch import receiver from timeapp.models import * #from timeapp.tasks import save_avgspeed_distance_to_models # @receiver(post_save, sender=Post) # def save_avgspeed_distance_to_model(sender, **kwargs): # save_avgspeed_distance_to_models.delay()

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0.146939

0.244898

0.269388

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6

c4eb3435f341feb393a16ece2e9cf2f417c1ad33

27

py

Python

mskpy/lib/__init__.py

mkelley/mskpy

41f41fd69bae71853abdfd2afbd535cd0b79c530

[ "BSD-3-Clause" ]

10

2015-03-27T09:52:10.000Z

2021-01-07T22:29:51.000Z

mskpy/lib/__init__.py

mkelley/mskpy

41f41fd69bae71853abdfd2afbd535cd0b79c530

[ "BSD-3-Clause" ]

7

2015-11-29T22:20:57.000Z

2019-11-01T21:15:07.000Z

mskpy/lib/__init__.py

mkelley/mskpy

41f41fd69bae71853abdfd2afbd535cd0b79c530

[ "BSD-3-Clause" ]

2

2015-11-29T21:26:09.000Z

2016-05-24T08:53:43.000Z

from .davint import davint

13.5

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0.814815

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5.5

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6

1eea975465911038de8a814d45ec05e7c753aeec

17,085

py

Python

vnet_manager/tests/actions/test_action_manager.py

gfokkema/vnet-manager

7650c58019a72a89a737c3a54cb320a623951410

[ "MIT" ]

4

2020-11-03T13:52:31.000Z

2021-07-28T23:07:06.000Z

vnet_manager/tests/actions/test_action_manager.py

gfokkema/vnet-manager

7650c58019a72a89a737c3a54cb320a623951410

[ "MIT" ]

26

2020-09-27T14:04:07.000Z

2022-03-05T20:16:09.000Z

vnet_manager/tests/actions/test_action_manager.py

gfokkema/vnet-manager

7650c58019a72a89a737c3a54cb320a623951410

[ "MIT" ]

4

2020-10-20T13:38:47.000Z

2022-02-18T18:18:57.000Z

from os import EX_OK, EX_USAGE from unittest.mock import MagicMock from vnet_manager.tests import VNetTestCase from vnet_manager.actions.manager import ActionManager from vnet_manager.conf import settings class TestActionManager(VNetTestCase): def setUp(self) -> None: self.get_config = self.set_up_patch("vnet_manager.actions.manager.get_config") self.validator = MagicMock() self.validate = self.set_up_patch("vnet_manager.actions.manager.ValidateConfig") self.validate.return_value = self.validator self.validator.updated_config = {} self.show_version = self.set_up_patch("vnet_manager.actions.manager.show_version") self.show_status = self.set_up_patch("vnet_manager.actions.manager.show_status") self.show_status_interfaces = self.set_up_patch("vnet_manager.actions.manager.show_vnet_interface_status") self.show_status_interfaces_veth = self.set_up_patch("vnet_manager.actions.manager.show_vnet_veth_interface_status") self.bring_up_vnet_interfaces = self.set_up_patch("vnet_manager.actions.manager.bring_up_vnet_interfaces") self.change_machine_status = self.set_up_patch("vnet_manager.actions.manager.change_machine_status") self.bring_down_vnet_interfaces = self.set_up_patch("vnet_manager.actions.manager.bring_down_vnet_interfaces") self.ensure_vnet_lxc_environment = self.set_up_patch("vnet_manager.actions.manager.ensure_vnet_lxc_environment") self.create_machines = self.set_up_patch("vnet_manager.actions.manager.create_machines") self.put_files_on_machine = self.set_up_patch("vnet_manager.actions.manager.put_files_on_machine") self.generate_vnet_hosts_file = self.set_up_patch("vnet_manager.actions.manager.generate_vnet_hosts_file") self.place_vnet_hosts_file_on_machines = self.set_up_patch("vnet_manager.actions.manager.place_vnet_hosts_file_on_machines") self.enable_type_specific_machine_configuration = self.set_up_patch( "vnet_manager.actions.manager.enable_type_specific_machine_configuration" ) self.request_confirmation = self.set_up_patch("vnet_manager.actions.manager.request_confirmation") self.destroy_lxc_image = self.set_up_patch("vnet_manager.actions.manager.destroy_lxc_image") self.destroy_machines = self.set_up_patch("vnet_manager.actions.manager.destroy_machines") self.delete_vnet_interfaces = self.set_up_patch("vnet_manager.actions.manager.delete_vnet_interfaces") self.cleanup_vnet_lxc_environment = self.set_up_patch("vnet_manager.actions.manager.cleanup_vnet_lxc_environment") self.display_help_for_action = self.set_up_patch("vnet_manager.actions.manager.display_help_for_action") self.isfile = self.set_up_patch("vnet_manager.actions.manager.isfile") self.isdir = self.set_up_patch("vnet_manager.actions.manager.isdir") self.get_yaml_file_from_disk_path = self.set_up_patch("vnet_manager.actions.manager.get_yaml_files_from_disk_path") self.get_yaml_file_from_disk_path.return_value = ["file1"] def test_action_raises_not_implemented_error_if_unsupported_action(self): manager = ActionManager() with self.assertRaises(NotImplementedError): manager.execute("not_working") def test_action_manager_calls_show_version_with_version_action(self): manager = ActionManager() ret = manager.execute("version") self.show_version.assert_called_once_with() self.assertEqual(ret, EX_OK) def test_action_manager_calls_display_help_for_action_when_action_has_been_called_with_help_as_second_parameter(self): manager = ActionManager(config_path="help") ret = manager.execute("start") self.display_help_for_action.assert_called_once_with("start") self.assertEqual(ret, EX_OK) def test_action_manager_calls_get_config(self): manager = ActionManager(config_path="blaap") manager.execute("list") self.get_config.assert_called_once_with("blaap") def test_action_manager_calls_validate_config(self): manager = ActionManager(config_path="blaap") manager.execute("list") self.validate.called_once_with() def test_action_manager_called_validator_function(self): manager = ActionManager(config_path="blaap") manager.execute("list") self.validator.validate.assert_called_once() def test_action_manager_returns_usage_exit_code_if_validator_unsuccessful(self): self.validator.config_validation_successful = False manager = ActionManager(config_path="blaap") ret = manager.execute("show") self.assertEqual(ret, EX_USAGE) self.assertFalse(self.show_status.called) def test_action_manager_calls_show_status_with_list_action(self): manager = ActionManager(config_path="blaap") manager.execute("list") self.show_status.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_show_vnet_interface_status_with_list_action(self): manager = ActionManager(config_path="blaap") manager.execute("list") self.show_status_interfaces.assert_called_once_with(self.validator.updated_config) def test_action_manager_does_not_call_vnet_veth_interface_status_with_list_action_if_veths_config_not_present(self): manager = ActionManager(config_path="blaap") manager.execute("list") self.assertFalse(self.show_status_interfaces_veth.called) def test_action_manager_calls_show_vnet_veth_interface_status_with_list_action(self): self.validator.updated_config["veths"] = "jajaja" manager = ActionManager(config_path="blaap") manager.execute("list") self.show_status_interfaces_veth.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_get_yaml_file_from_disk_path_with_list_action(self): self.isfile.return_value = False manager = ActionManager(config_path="blaap") manager.execute("list") self.get_yaml_file_from_disk_path.assert_called_once_with("blaap") def test_action_manager_calls_show_status_with_return_values_of_get_yaml_files(self): self.get_yaml_file_from_disk_path.return_value = ["file1", "file2", "file3"] self.isfile.return_value = False manager = ActionManager(config_path="blaap") manager.execute("list") self.assertEqual(3, self.show_status.call_count) def test_action_manager_does_nothing_when_not_file_and_not_dir_with_list_action(self): self.isfile.return_value = False self.isdir.return_value = False manager = ActionManager(config_path="blaap") manager.execute("list") self.assertFalse(self.get_yaml_file_from_disk_path.called) self.assertFalse(self.show_status.called) def test_action_manager_calls_show_status_with_show_action(self): manager = ActionManager(config_path="blaap") manager.execute("show") self.show_status.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_show_vnet_interface_status_with_show_action(self): manager = ActionManager(config_path="blaap") manager.execute("show") self.show_status_interfaces.assert_called_once_with(self.validator.updated_config) def test_action_manager_does_not_call_vnet_veth_interface_status_with_show_action_if_veths_config_not_present(self): manager = ActionManager(config_path="blaap") manager.execute("show") self.assertFalse(self.show_status_interfaces_veth.called) def test_action_manager_calls_show_vnet_veth_interface_status_with_show_action(self): self.validator.updated_config["veths"] = "jajaja" manager = ActionManager(config_path="blaap") manager.execute("show") self.show_status_interfaces_veth.assert_called_once_with(self.validator.updated_config) def test_action_manager_returns_ex_ok_after_action_has_been_completed(self): manager = ActionManager(config_path="blaap") ret = manager.execute("list") self.assertEqual(ret, EX_OK) def test_action_manager_calls_bring_up_vnet_interfaces_with_start_action(self): manager = ActionManager(config_path="blaap") manager.execute("start") self.bring_up_vnet_interfaces.assert_called_once_with(self.validator.updated_config, sniffer=False) self.assertFalse(self.bring_down_vnet_interfaces.called) def test_action_manager_calls_bring_up_vnet_interfaces_with_start_action_and_sniffer(self): manager = ActionManager(config_path="blaap", sniffer=True) manager.execute("start") self.bring_up_vnet_interfaces.assert_called_once_with(self.validator.updated_config, sniffer=True) def test_action_manager_calls_change_machine_status_with_start_action(self): manager = ActionManager(config_path="blaap") manager.execute("start") self.change_machine_status.assert_called_once_with(self.validator.updated_config, machines=None, status="start") def test_action_manager_calls_change_machine_status_with_start_action_and_machines(self): manager = ActionManager(config_path="blaap") manager.machines = ["machine"] manager.execute("start") self.change_machine_status.assert_called_once_with(self.validator.updated_config, machines=["machine"], status="start") def test_action_manager_calls_change_machine_status_with_stop_action(self): manager = ActionManager(config_path="blaap") manager.execute("stop") self.change_machine_status.assert_called_once_with(self.validator.updated_config, machines=None, status="stop") def test_action_manager_calls_change_machine_status_with_stop_action_and_machines(self): manager = ActionManager(config_path="blaap") manager.machines = ["machine"] manager.execute("stop") self.change_machine_status.assert_called_once_with(self.validator.updated_config, machines=["machine"], status="stop") def test_action_manager_calls_bring_down_vnet_interfaces_with_stop_action(self): manager = ActionManager(config_path="blaap") manager.execute("stop") self.bring_down_vnet_interfaces.assert_called_once_with(self.validator.updated_config) def test_action_manager_does_not_call_bring_down_vnet_interfaces_with_stop_action_and_machines(self): manager = ActionManager(config_path="blaap") manager.machines = ["machine"] manager.execute("stop") self.assertFalse(self.bring_down_vnet_interfaces.called) def test_action_manager_calls_ensure_vnet_lxc_environment_with_create_action(self): manager = ActionManager(config_path="blaap") manager.execute("create") self.ensure_vnet_lxc_environment.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_create_machines_with_create_action(self): manager = ActionManager(config_path="blaap") manager.execute("create") self.create_machines.assert_called_once_with(self.validator.updated_config, machines=None) def test_action_manager_calls_create_machines_with_create_action_and_machines(self): manager = ActionManager(config_path="blaap") manager.machines = ["machine"] manager.execute("create") self.create_machines.assert_called_once_with(self.validator.updated_config, machines=["machine"]) def test_action_manager_calls_put_files_on_machine_with_create_action(self): manager = ActionManager(config_path="blaap") manager.execute("create") self.put_files_on_machine.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_place_vnet_hosts_file_on_machines_with_create_action(self): manager = ActionManager(config_path="blaap") manager.execute("create") self.place_vnet_hosts_file_on_machines.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_generate_vnet_hosts_file_with_create_action(self): manager = ActionManager(config_path="blaap") manager.execute("create") self.generate_vnet_hosts_file.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_enable_type_specific_machine_configuration(self): manager = ActionManager(config_path="blaap") manager.execute("create") self.enable_type_specific_machine_configuration.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_ensure_vnet_lxc_environment_with_create_action_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.execute("create") self.ensure_vnet_lxc_environment.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_create_machines_with_create_action_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.execute("create") self.create_machines.assert_called_once_with(self.validator.updated_config, machines=None) def test_action_manager_calls_create_machines_with_create_action_and_machines_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.machines = ["machine"] manager.execute("create") self.create_machines.assert_called_once_with(self.validator.updated_config, machines=["machine"]) def test_action_manager_calls_put_files_on_machine_with_create_action_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.execute("create") self.put_files_on_machine.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_place_vnet_hosts_file_on_machines_with_create_action_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.execute("create") self.assertFalse(self.place_vnet_hosts_file_on_machines.called) def test_action_manager_calls_generate_vnet_hosts_file_with_create_action_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.execute("create") self.assertFalse(self.generate_vnet_hosts_file.called) def test_action_manager_calls_enable_type_specific_machine_configuration_and_nohosts(self): manager = ActionManager(config_path="blaap", no_hosts=True) manager.execute("create") self.enable_type_specific_machine_configuration.assert_called_once_with(self.validator.updated_config) def test_action_manager_calls_destroy_machines_with_destroy_action(self): manager = ActionManager(config_path="blaap") manager.execute("destroy") self.destroy_machines.assert_called_once_with(self.validator.updated_config, machines=None) def test_action_manager_calls_cleanup_vnet_lxc_environment_with_clean_action(self): manager = ActionManager() manager.execute("clean") self.cleanup_vnet_lxc_environment.assert_called_once_with() def test_action_manager_calls_destroy_machines_with_destroy_action_and_machines(self): manager = ActionManager(config_path="blaap") manager.machines = ["machine"] manager.execute("destroy") self.destroy_machines.assert_called_once_with(self.validator.updated_config, machines=["machine"]) self.assertFalse(self.destroy_lxc_image.called) def test_action_manager_calls_delete_vnet_interfaces_with_destroy_action(self): manager = ActionManager(config_path="blaap") manager.execute("destroy") self.delete_vnet_interfaces.assert_called_once_with(self.validator.updated_config) def test_action_manager_does_not_call_delete_vnet_interfaces_with_destroy_action_and_machines(self): manager = ActionManager(config_path="blaap") manager.machines = ["machine"] manager.execute("destroy") self.assertFalse(self.delete_vnet_interfaces.called) def test_action_manager_calls_destroy_lxc_image_with_destroy_action_and_base_image(self): manager = ActionManager(config_path="blaap", base_image=True) manager.execute("destroy") self.destroy_lxc_image.assert_called_once_with(settings.LXC_BASE_IMAGE_ALIAS, by_alias=True) self.assertFalse(self.destroy_machines.called) def test_action_manager_calls_request_confirmation_with_destroy_action_and_base_image(self): manager = ActionManager(config_path="blaap", base_image=True) manager.execute("destroy") self.request_confirmation.assert_called_once_with(prompt="Are you sure you want to delete the VNet base images (y/n)? ") def test_action_manager_has_machine_property(self): manager = ActionManager() manager.machines = ["1", "2", "3"] self.assertEqual(manager.machines, ["1", "2", "3"]) self.assertIsInstance(ActionManager.machines, property)

55.291262

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0.772549

2,182

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5.576994

0.069203

0.028186

0.052346

0.078889

0.854138

0.808037

0.78248

0.75076

0.711727

0.671049

0

0.000751

0.142347

17,085

308

133

55.470779

0.829728

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0.492188

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0.07012

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0.21875

1

0.195313

false

0

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0.21875

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null

0

1

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null

0

6

48471e2234ebf5598d41252cff1e6239dd686e29

5,106

py

Python

test/kernels/test_additive_kernel.py

orionr/gpytorch

b31a9907223e7b8793cc179b1d5d9e6fb1128a5b

[ "MIT" ]

null

test/kernels/test_additive_kernel.py

orionr/gpytorch

b31a9907223e7b8793cc179b1d5d9e6fb1128a5b

[ "MIT" ]

null

test/kernels/test_additive_kernel.py

orionr/gpytorch

b31a9907223e7b8793cc179b1d5d9e6fb1128a5b

[ "MIT" ]

1

2018-11-15T10:03:40.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals import math import torch import unittest from gpytorch.kernels import RBFKernel, AdditiveKernel, ProductKernel class TestAdditiveKernel(unittest.TestCase): def test_computes_product_of_radial_basis_function(self): a = torch.Tensor([4, 2, 8]).view(3, 1) b = torch.Tensor([0, 2]).view(2, 1) lengthscale = 2 kernel_1 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_2 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel = kernel_1 * kernel_2 actual = torch.Tensor([[16, 4], [4, 0], [64, 36]]).mul_(-0.5).div_(lengthscale ** 2).exp() ** 2 kernel.eval() res = kernel(a, b).evaluate() self.assertLess(torch.norm(res - actual), 2e-5) def test_computes_sum_of_radial_basis_function(self): a = torch.Tensor([4, 2, 8]).view(3, 1) b = torch.Tensor([0, 2]).view(2, 1) lengthscale = 2 kernel_1 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_2 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel = kernel_1 + kernel_2 actual = torch.Tensor([[16, 4], [4, 0], [64, 36]]).mul_(-0.5).div_(lengthscale ** 2).exp() * 2 kernel.eval() res = kernel(a, b).evaluate() self.assertLess(torch.norm(res - actual), 2e-5) def test_computes_product_of_three_radial_basis_function(self): a = torch.Tensor([4, 2, 8]).view(3, 1) b = torch.Tensor([0, 2]).view(2, 1) lengthscale = 2 kernel_1 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_2 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_3 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel = ProductKernel(kernel_1, kernel_2, kernel_3) actual = torch.Tensor([[16, 4], [4, 0], [64, 36]]).mul_(-0.5).div_(lengthscale ** 2).exp() ** 3 kernel.eval() res = kernel(a, b).evaluate() self.assertLess(torch.norm(res - actual), 2e-5) def test_computes_sum_of_three_radial_basis_function(self): a = torch.Tensor([4, 2, 8]).view(3, 1) b = torch.Tensor([0, 2]).view(2, 1) lengthscale = 2 kernel_1 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_2 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_3 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel = AdditiveKernel(kernel_1, kernel_2, kernel_3) actual = torch.Tensor([[16, 4], [4, 0], [64, 36]]).mul_(-0.5).div_(lengthscale ** 2).exp() * 3 kernel.eval() res = kernel(a, b).evaluate() self.assertLess(torch.norm(res - actual), 2e-5) def test_computes_sum_radial_basis_function_gradient(self): a = torch.Tensor([4, 2, 8]).view(3, 1) b = torch.Tensor([0, 2, 2]).view(3, 1) lengthscale = 2 param = math.log(lengthscale) * torch.ones(3, 3) param.requires_grad_() diffs = a.expand(3, 3) - b.expand(3, 3).transpose(0, 1) actual_output = (-0.5 * (diffs / param.exp()) ** 2).exp() actual_output.backward(torch.eye(3)) actual_param_grad = param.grad.sum() * 2 kernel_1 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_2 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel = kernel_1 + kernel_2 kernel.eval() output = kernel(a, b).evaluate() output.backward(gradient=torch.eye(3)) res = kernel.kernels[0].log_lengthscale.grad + kernel.kernels[1].log_lengthscale.grad self.assertLess(torch.norm(res - actual_param_grad), 2e-5) def test_computes_sum_three_radial_basis_function_gradient(self): a = torch.Tensor([4, 2, 8]).view(3, 1) b = torch.Tensor([0, 2, 2]).view(3, 1) lengthscale = 2 param = math.log(lengthscale) * torch.ones(3, 3) param.requires_grad_() diffs = a.expand(3, 3) - b.expand(3, 3).transpose(0, 1) actual_output = (-0.5 * (diffs / param.exp()) ** 2).exp() actual_output.backward(torch.eye(3)) actual_param_grad = param.grad.sum() * 3 kernel_1 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_2 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel_3 = RBFKernel().initialize(log_lengthscale=math.log(lengthscale)) kernel = AdditiveKernel(kernel_1, kernel_2, kernel_3) kernel.eval() output = kernel(a, b).evaluate() output.backward(gradient=torch.eye(3)) res = ( kernel.kernels[0].log_lengthscale.grad + kernel.kernels[1].log_lengthscale.grad + kernel.kernels[2].log_lengthscale.grad ) self.assertLess(torch.norm(res - actual_param_grad), 2e-5) if __name__ == "__main__": unittest.main()

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0.215825

5,106

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null

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null

0

6

4856b69b5f7d69bf000748482fefc47e10865c3b

30

py

Python

rlberry/agents/mbqvi/__init__.py

riccardodv/rlberry

8bb03772cda1e13c57de0e1da7bc7356a3014cfb

[ "MIT" ]

86

2020-11-20T21:02:27.000Z

2022-03-07T14:57:40.000Z

rlberry/agents/mbqvi/__init__.py

riccardodv/rlberry

8bb03772cda1e13c57de0e1da7bc7356a3014cfb

[ "MIT" ]

103

2020-11-17T12:31:21.000Z

2022-03-28T13:46:16.000Z

rlberry/agents/mbqvi/__init__.py

riccardodv/rlberry

8bb03772cda1e13c57de0e1da7bc7356a3014cfb

[ "MIT" ]

20

2020-11-23T01:47:50.000Z

2022-03-25T07:45:24.000Z

from .mbqvi import MBQVIAgent

15

29

0.833333

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null

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6

6f845b6fff3cfe82d2a824bfda3f99385128dd2f

6,293

py

Python

nova/tests/functional/db/test_compute_node.py

ebalduf/nova-backports

6bf97ec73467de522d34ab7a17ca0e0874baa7f9

[ "Apache-2.0" ]

null

nova/tests/functional/db/test_compute_node.py

ebalduf/nova-backports

6bf97ec73467de522d34ab7a17ca0e0874baa7f9

[ "Apache-2.0" ]

null

nova/tests/functional/db/test_compute_node.py

ebalduf/nova-backports

6bf97ec73467de522d34ab7a17ca0e0874baa7f9

[ "Apache-2.0" ]

1

2020-07-24T01:18:44.000Z

# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import mock from nova import context from nova import db from nova import objects from nova.objects import fields from nova import test class ComputeNodeTestCase(test.TestCase): def setUp(self): super(ComputeNodeTestCase, self).setUp() self.context = context.RequestContext('fake-user', 'fake-project') self.cn = objects.ComputeNode(context=self.context, memory_mb=512, local_gb=1000, vcpus=8, vcpus_used=0, local_gb_used=0, memory_mb_used=0, free_ram_mb=0, free_disk_gb=0, hypervisor_type='danvm', hypervisor_version=1, cpu_info='barf', cpu_allocation_ratio=1.0, ram_allocation_ratio=1.0, disk_allocation_ratio=1.0) @mock.patch('nova.objects.Service.get_minimum_version_multi') def test_create_creates_inventories(self, mock_minver): mock_minver.return_value = 10 self.cn.create() self.assertEqual(512, self.cn.memory_mb) self.assertEqual(1000, self.cn.local_gb) self.assertEqual(8, self.cn.vcpus) db_cn = db.compute_node_get(self.context, self.cn.id) self.assertEqual(0, db_cn['memory_mb']) self.assertEqual(0, db_cn['local_gb']) self.assertEqual(0, db_cn['vcpus']) inventories = objects.InventoryList.get_all_by_resource_provider_uuid( self.context, self.cn.uuid) self.assertEqual(3, len(inventories)) inv = {i.resource_class: i.total for i in inventories} expected = { fields.ResourceClass.DISK_GB: 1000, fields.ResourceClass.MEMORY_MB: 512, fields.ResourceClass.VCPU: 8, } self.assertEqual(expected, inv) @mock.patch('nova.objects.Service.get_minimum_version_multi') def test_save_updates_inventories(self, mock_minver): mock_minver.return_value = 10 self.cn.create() self.cn.memory_mb = 2048 self.cn.local_gb = 2000 self.cn.save() self.assertEqual(2048, self.cn.memory_mb) self.assertEqual(2000, self.cn.local_gb) self.assertEqual(8, self.cn.vcpus) db_cn = db.compute_node_get(self.context, self.cn.id) self.assertEqual(0, db_cn['memory_mb']) self.assertEqual(0, db_cn['local_gb']) self.assertEqual(0, db_cn['vcpus']) inventories = objects.InventoryList.get_all_by_resource_provider_uuid( self.context, self.cn.uuid) self.assertEqual(3, len(inventories)) inv = {i.resource_class: i.total for i in inventories} expected = { fields.ResourceClass.DISK_GB: 2000, fields.ResourceClass.MEMORY_MB: 2048, fields.ResourceClass.VCPU: 8, } self.assertEqual(expected, inv) @mock.patch('nova.objects.Service.get_minimum_version_multi') def test_save_creates_inventories(self, mock_minver): mock_minver.return_value = 7 self.cn.create() inventories = objects.InventoryList.get_all_by_resource_provider_uuid( self.context, self.cn.uuid) self.assertEqual(0, len(inventories)) mock_minver.return_value = 10 self.cn.memory_mb = 2048 self.cn.local_gb = 2000 self.cn.save() self.assertEqual(2048, self.cn.memory_mb) self.assertEqual(2000, self.cn.local_gb) self.assertEqual(8, self.cn.vcpus) db_cn = db.compute_node_get(self.context, self.cn.id) self.assertEqual(0, db_cn['memory_mb']) self.assertEqual(0, db_cn['local_gb']) self.assertEqual(0, db_cn['vcpus']) inventories = objects.InventoryList.get_all_by_resource_provider_uuid( self.context, self.cn.uuid) self.assertEqual(3, len(inventories)) inv = {i.resource_class: i.total for i in inventories} expected = { fields.ResourceClass.DISK_GB: 2000, fields.ResourceClass.MEMORY_MB: 2048, fields.ResourceClass.VCPU: 8, } self.assertEqual(expected, inv) @mock.patch('nova.objects.Service.get_minimum_version_multi') def test_create_honors_version(self, mock_minver): mock_minver.return_value = 7 self.cn.create() self.assertEqual(512, self.cn.memory_mb) self.assertEqual(1000, self.cn.local_gb) self.assertEqual(8, self.cn.vcpus) db_cn = db.compute_node_get(self.context, self.cn.id) self.assertEqual(512, db_cn['memory_mb']) self.assertEqual(1000, db_cn['local_gb']) self.assertEqual(8, db_cn['vcpus']) inventories = objects.InventoryList.get_all_by_resource_provider_uuid( self.context, self.cn.uuid) self.assertEqual(0, len(inventories)) @mock.patch('nova.objects.Service.get_minimum_version_multi') def test_save_honors_version(self, mock_minver): mock_minver.return_value = 7 self.cn.create() self.cn.memory_mb = 2048 self.cn.local_gb = 2000 self.cn.save() self.assertEqual(2048, self.cn.memory_mb) self.assertEqual(2000, self.cn.local_gb) self.assertEqual(8, self.cn.vcpus) db_cn = db.compute_node_get(self.context, self.cn.id) self.assertEqual(2048, db_cn['memory_mb']) self.assertEqual(2000, db_cn['local_gb']) self.assertEqual(8, db_cn['vcpus']) inventories = objects.InventoryList.get_all_by_resource_provider_uuid( self.context, self.cn.uuid) self.assertEqual(0, len(inventories))

43.701389

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6,293

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0

null

0

1

0

1

0

null

0

6

6f862b892b72cd31dc5a05670b3ad49bd3cc617e

278

py

Python

parser/parser/data_collection/ok_spider.py

MADE-realtime/realtime_news

0a63687cad0ccefd772b2c28d7138d8db52d5f20

[ "MIT" ]

null

parser/parser/data_collection/ok_spider.py

MADE-realtime/realtime_news

0a63687cad0ccefd772b2c28d7138d8db52d5f20

[ "MIT" ]

null

parser/parser/data_collection/ok_spider.py

MADE-realtime/realtime_news

0a63687cad0ccefd772b2c28d7138d8db52d5f20

[ "MIT" ]

null

""" Application ID: 512001308941. Публичный ключ приложения: COAKPIKGDIHBABABA. Секретный ключ приложения: 95C3FB547F430B544E82D448. Вечный session_key:tkn14YgWQ279xMzvjdfJtJuRajPvJtttKSCdawotwIt7ECm6L0PzFZLqwEpBQVe3xGYr7 Session_secret_key:b2208fc58999b290093183f6fdfa6804 """

39.714286

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278

12.894737

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0.114286

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0.236641

0.057554

278

7

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0.971223

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null

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1

0

1

0

null

0

1

0

6

6facafcb5a0d62cd58a446a3a414c19dcb549cf6

523

py

Python

Python/OOP/game2/monsters.py

sug5806/TIL

2309d8a270e4a7b8961268a40b6492c5db317e37

[ "MIT" ]

null

Python/OOP/game2/monsters.py

sug5806/TIL

2309d8a270e4a7b8961268a40b6492c5db317e37

[ "MIT" ]

102

2020-02-12T00:10:33.000Z

2022-03-11T23:58:41.000Z

Python/OOP/game2/monsters.py

sug5806/TIL

2309d8a270e4a7b8961268a40b6492c5db317e37

[ "MIT" ]

null

from character import Monster # 게임 개발 초기의 몬스터 종류는 두 가지 class FireMonster(Monster): def generate_gold(self): return 10 class IceMonster(Monster): def __init__(self): super().__init__() self.hp=100 def generate_gold(self): return 20 # 게임 규모가 커지면서 추가된 몬스터 class StoneMonster(Monster): def generate_gold(self): return 0 class KungfuMonster(Monster): def generate_gold(self): return 1000 # 추가 확장 클래스 # 몬스터 종류가 늘면 이 아래에 추가 하세요.

19.37037

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0.621415

70

523

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0.571429

0.127796

0.191693

0.242812

0.386581

0.306709

0

0.032967

0.304015

523

27

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19.37037

0.826923

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0

0.25

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1

0.3125

false

0

0.0625

0.25

0.875

0

null

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1

0

null

0

1

0

1

0

6

6fb2a27e0549165b7efae6ef04d932aa7bcab73e

50,327

py

Python

pybind/slxos/v17r_2_00/interface_vlan/vlan/ipv6/mldVlan/snooping/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

null

pybind/slxos/v17r_2_00/interface_vlan/vlan/ipv6/mldVlan/snooping/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

null

pybind/slxos/v17r_2_00/interface_vlan/vlan/ipv6/mldVlan/snooping/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ import querier import mrouter import static_group class snooping(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-interface - based on the path /interface-vlan/vlan/ipv6/mldVlan/snooping. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__last_member_query_interval','__last_member_query_count','__startup_query_interval','__startup_query_count','__query_max_response_time','__query_interval','__mldVersion','__enable','__fast_leave','__robustness_variable','__querier','__mrouter','__static_group',) _yang_name = 'snooping' _rest_name = 'snooping' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__startup_query_interval = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..450']}), is_leaf=True, yang_name="startup-query-interval", rest_name="startup-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Interval', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqi-type', is_config=True) self.__last_member_query_interval = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'100..25500']}), is_leaf=True, yang_name="last-member-query-interval", rest_name="last-member-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqt-type', is_config=True) self.__enable = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Enable', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True) self.__mrouter = YANGDynClass(base=mrouter.mrouter, is_container='container', presence=False, yang_name="mrouter", rest_name="mrouter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Multicast Router', u'callpoint': u'MldsMrtrVlan', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True) self.__robustness_variable = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="robustness-variable", rest_name="robustness-variable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Robustness Variable', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='rob-type', is_config=True) self.__startup_query_count = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..10']}), is_leaf=True, yang_name="startup-query-count", rest_name="startup-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqc-type', is_config=True) self.__query_max_response_time = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..25']}), is_leaf=True, yang_name="query-max-response-time", rest_name="query-max-response-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Max Query Response Time', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qmrt-type', is_config=True) self.__mldVersion = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..2']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(1), is_leaf=True, yang_name="mldVersion", rest_name="version", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLD Version [1|2]', u'cli-full-command': None, u'alt-name': u'version'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='version-type', is_config=True) self.__querier = YANGDynClass(base=querier.querier, is_container='container', presence=False, yang_name="querier", rest_name="querier", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Querier', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True) self.__fast_leave = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="fast-leave", rest_name="fast-leave", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Fast Leave Processing', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True) self.__query_interval = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..18000']}), is_leaf=True, yang_name="query-interval", rest_name="query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qi-type', is_config=True) self.__last_member_query_count = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="last-member-query-count", rest_name="last-member-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqc-type', is_config=True) self.__static_group = YANGDynClass(base=YANGListType("mcast_address interface if_type value",static_group.static_group, yang_name="static-group", rest_name="static-group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='mcast-address interface if-type value', extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}), is_container='list', yang_name="static-group", rest_name="static-group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='list', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'interface-vlan', u'vlan', u'ipv6', u'mldVlan', u'snooping'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'vlan', u'ipv6', u'mld', u'snooping'] def _get_last_member_query_interval(self): """ Getter method for last_member_query_interval, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/last_member_query_interval (lmqt-type) """ return self.__last_member_query_interval def _set_last_member_query_interval(self, v, load=False): """ Setter method for last_member_query_interval, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/last_member_query_interval (lmqt-type) If this variable is read-only (config: false) in the source YANG file, then _set_last_member_query_interval is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_last_member_query_interval() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'100..25500']}), is_leaf=True, yang_name="last-member-query-interval", rest_name="last-member-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqt-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """last_member_query_interval must be of a type compatible with lmqt-type""", 'defined-type': "brocade-mld-snooping:lmqt-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'100..25500']}), is_leaf=True, yang_name="last-member-query-interval", rest_name="last-member-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqt-type', is_config=True)""", }) self.__last_member_query_interval = t if hasattr(self, '_set'): self._set() def _unset_last_member_query_interval(self): self.__last_member_query_interval = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'100..25500']}), is_leaf=True, yang_name="last-member-query-interval", rest_name="last-member-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqt-type', is_config=True) def _get_last_member_query_count(self): """ Getter method for last_member_query_count, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/last_member_query_count (lmqc-type) """ return self.__last_member_query_count def _set_last_member_query_count(self, v, load=False): """ Setter method for last_member_query_count, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/last_member_query_count (lmqc-type) If this variable is read-only (config: false) in the source YANG file, then _set_last_member_query_count is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_last_member_query_count() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="last-member-query-count", rest_name="last-member-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqc-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """last_member_query_count must be of a type compatible with lmqc-type""", 'defined-type': "brocade-mld-snooping:lmqc-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="last-member-query-count", rest_name="last-member-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqc-type', is_config=True)""", }) self.__last_member_query_count = t if hasattr(self, '_set'): self._set() def _unset_last_member_query_count(self): self.__last_member_query_count = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="last-member-query-count", rest_name="last-member-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Last Member Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='lmqc-type', is_config=True) def _get_startup_query_interval(self): """ Getter method for startup_query_interval, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/startup_query_interval (sqi-type) """ return self.__startup_query_interval def _set_startup_query_interval(self, v, load=False): """ Setter method for startup_query_interval, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/startup_query_interval (sqi-type) If this variable is read-only (config: false) in the source YANG file, then _set_startup_query_interval is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_startup_query_interval() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..450']}), is_leaf=True, yang_name="startup-query-interval", rest_name="startup-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Interval', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqi-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """startup_query_interval must be of a type compatible with sqi-type""", 'defined-type': "brocade-mld-snooping:sqi-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..450']}), is_leaf=True, yang_name="startup-query-interval", rest_name="startup-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Interval', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqi-type', is_config=True)""", }) self.__startup_query_interval = t if hasattr(self, '_set'): self._set() def _unset_startup_query_interval(self): self.__startup_query_interval = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..450']}), is_leaf=True, yang_name="startup-query-interval", rest_name="startup-query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Interval', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqi-type', is_config=True) def _get_startup_query_count(self): """ Getter method for startup_query_count, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/startup_query_count (sqc-type) """ return self.__startup_query_count def _set_startup_query_count(self, v, load=False): """ Setter method for startup_query_count, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/startup_query_count (sqc-type) If this variable is read-only (config: false) in the source YANG file, then _set_startup_query_count is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_startup_query_count() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..10']}), is_leaf=True, yang_name="startup-query-count", rest_name="startup-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqc-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """startup_query_count must be of a type compatible with sqc-type""", 'defined-type': "brocade-mld-snooping:sqc-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..10']}), is_leaf=True, yang_name="startup-query-count", rest_name="startup-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqc-type', is_config=True)""", }) self.__startup_query_count = t if hasattr(self, '_set'): self._set() def _unset_startup_query_count(self): self.__startup_query_count = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..10']}), is_leaf=True, yang_name="startup-query-count", rest_name="startup-query-count", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Startup Query Count', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='sqc-type', is_config=True) def _get_query_max_response_time(self): """ Getter method for query_max_response_time, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/query_max_response_time (qmrt-type) """ return self.__query_max_response_time def _set_query_max_response_time(self, v, load=False): """ Setter method for query_max_response_time, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/query_max_response_time (qmrt-type) If this variable is read-only (config: false) in the source YANG file, then _set_query_max_response_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_query_max_response_time() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..25']}), is_leaf=True, yang_name="query-max-response-time", rest_name="query-max-response-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Max Query Response Time', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qmrt-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """query_max_response_time must be of a type compatible with qmrt-type""", 'defined-type': "brocade-mld-snooping:qmrt-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..25']}), is_leaf=True, yang_name="query-max-response-time", rest_name="query-max-response-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Max Query Response Time', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qmrt-type', is_config=True)""", }) self.__query_max_response_time = t if hasattr(self, '_set'): self._set() def _unset_query_max_response_time(self): self.__query_max_response_time = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..25']}), is_leaf=True, yang_name="query-max-response-time", rest_name="query-max-response-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Max Query Response Time', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qmrt-type', is_config=True) def _get_query_interval(self): """ Getter method for query_interval, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/query_interval (qi-type) """ return self.__query_interval def _set_query_interval(self, v, load=False): """ Setter method for query_interval, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/query_interval (qi-type) If this variable is read-only (config: false) in the source YANG file, then _set_query_interval is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_query_interval() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..18000']}), is_leaf=True, yang_name="query-interval", rest_name="query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qi-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """query_interval must be of a type compatible with qi-type""", 'defined-type': "brocade-mld-snooping:qi-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..18000']}), is_leaf=True, yang_name="query-interval", rest_name="query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qi-type', is_config=True)""", }) self.__query_interval = t if hasattr(self, '_set'): self._set() def _unset_query_interval(self): self.__query_interval = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..18000']}), is_leaf=True, yang_name="query-interval", rest_name="query-interval", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Query Interval', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='qi-type', is_config=True) def _get_mldVersion(self): """ Getter method for mldVersion, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/mldVersion (version-type) """ return self.__mldVersion def _set_mldVersion(self, v, load=False): """ Setter method for mldVersion, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/mldVersion (version-type) If this variable is read-only (config: false) in the source YANG file, then _set_mldVersion is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_mldVersion() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..2']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(1), is_leaf=True, yang_name="mldVersion", rest_name="version", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLD Version [1|2]', u'cli-full-command': None, u'alt-name': u'version'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='version-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """mldVersion must be of a type compatible with version-type""", 'defined-type': "brocade-mld-snooping:version-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..2']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(1), is_leaf=True, yang_name="mldVersion", rest_name="version", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLD Version [1|2]', u'cli-full-command': None, u'alt-name': u'version'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='version-type', is_config=True)""", }) self.__mldVersion = t if hasattr(self, '_set'): self._set() def _unset_mldVersion(self): self.__mldVersion = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'1..2']}), default=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32)(1), is_leaf=True, yang_name="mldVersion", rest_name="version", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLD Version [1|2]', u'cli-full-command': None, u'alt-name': u'version'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='version-type', is_config=True) def _get_enable(self): """ Getter method for enable, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/enable (empty) """ return self.__enable def _set_enable(self, v, load=False): """ Setter method for enable, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/enable (empty) If this variable is read-only (config: false) in the source YANG file, then _set_enable is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_enable() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, is_leaf=True, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Enable', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """enable must be of a type compatible with empty""", 'defined-type': "empty", 'generated-type': """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Enable', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True)""", }) self.__enable = t if hasattr(self, '_set'): self._set() def _unset_enable(self): self.__enable = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="enable", rest_name="enable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'MLDS Enable', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True) def _get_fast_leave(self): """ Getter method for fast_leave, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/fast_leave (empty) """ return self.__fast_leave def _set_fast_leave(self, v, load=False): """ Setter method for fast_leave, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/fast_leave (empty) If this variable is read-only (config: false) in the source YANG file, then _set_fast_leave is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_fast_leave() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, is_leaf=True, yang_name="fast-leave", rest_name="fast-leave", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Fast Leave Processing', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """fast_leave must be of a type compatible with empty""", 'defined-type': "empty", 'generated-type': """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="fast-leave", rest_name="fast-leave", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Fast Leave Processing', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True)""", }) self.__fast_leave = t if hasattr(self, '_set'): self._set() def _unset_fast_leave(self): self.__fast_leave = YANGDynClass(base=YANGBool, is_leaf=True, yang_name="fast-leave", rest_name="fast-leave", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Fast Leave Processing', u'cli-full-command': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='empty', is_config=True) def _get_robustness_variable(self): """ Getter method for robustness_variable, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/robustness_variable (rob-type) """ return self.__robustness_variable def _set_robustness_variable(self, v, load=False): """ Setter method for robustness_variable, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/robustness_variable (rob-type) If this variable is read-only (config: false) in the source YANG file, then _set_robustness_variable is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_robustness_variable() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="robustness-variable", rest_name="robustness-variable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Robustness Variable', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='rob-type', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """robustness_variable must be of a type compatible with rob-type""", 'defined-type': "brocade-mld-snooping:rob-type", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="robustness-variable", rest_name="robustness-variable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Robustness Variable', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='rob-type', is_config=True)""", }) self.__robustness_variable = t if hasattr(self, '_set'): self._set() def _unset_robustness_variable(self): self.__robustness_variable = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': [u'2..10']}), is_leaf=True, yang_name="robustness-variable", rest_name="robustness-variable", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Robustness Variable', u'cli-full-command': None, u'hidden': u'full'}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='rob-type', is_config=True) def _get_querier(self): """ Getter method for querier, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/querier (container) """ return self.__querier def _set_querier(self, v, load=False): """ Setter method for querier, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/querier (container) If this variable is read-only (config: false) in the source YANG file, then _set_querier is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_querier() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=querier.querier, is_container='container', presence=False, yang_name="querier", rest_name="querier", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Querier', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """querier must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=querier.querier, is_container='container', presence=False, yang_name="querier", rest_name="querier", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Querier', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True)""", }) self.__querier = t if hasattr(self, '_set'): self._set() def _unset_querier(self): self.__querier = YANGDynClass(base=querier.querier, is_container='container', presence=False, yang_name="querier", rest_name="querier", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Querier', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True) def _get_mrouter(self): """ Getter method for mrouter, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/mrouter (container) """ return self.__mrouter def _set_mrouter(self, v, load=False): """ Setter method for mrouter, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/mrouter (container) If this variable is read-only (config: false) in the source YANG file, then _set_mrouter is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_mrouter() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=mrouter.mrouter, is_container='container', presence=False, yang_name="mrouter", rest_name="mrouter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Multicast Router', u'callpoint': u'MldsMrtrVlan', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """mrouter must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=mrouter.mrouter, is_container='container', presence=False, yang_name="mrouter", rest_name="mrouter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Multicast Router', u'callpoint': u'MldsMrtrVlan', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True)""", }) self.__mrouter = t if hasattr(self, '_set'): self._set() def _unset_mrouter(self): self.__mrouter = YANGDynClass(base=mrouter.mrouter, is_container='container', presence=False, yang_name="mrouter", rest_name="mrouter", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Multicast Router', u'callpoint': u'MldsMrtrVlan', u'cli-incomplete-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='container', is_config=True) def _get_static_group(self): """ Getter method for static_group, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/static_group (list) """ return self.__static_group def _set_static_group(self, v, load=False): """ Setter method for static_group, mapped from YANG variable /interface_vlan/vlan/ipv6/mldVlan/snooping/static_group (list) If this variable is read-only (config: false) in the source YANG file, then _set_static_group is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_static_group() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("mcast_address interface if_type value",static_group.static_group, yang_name="static-group", rest_name="static-group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='mcast-address interface if-type value', extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}), is_container='list', yang_name="static-group", rest_name="static-group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='list', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """static_group must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("mcast_address interface if_type value",static_group.static_group, yang_name="static-group", rest_name="static-group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='mcast-address interface if-type value', extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}), is_container='list', yang_name="static-group", rest_name="static-group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='list', is_config=True)""", }) self.__static_group = t if hasattr(self, '_set'): self._set() def _unset_static_group(self): self.__static_group = YANGDynClass(base=YANGListType("mcast_address interface if_type value",static_group.static_group, yang_name="static-group", rest_name="static-group", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='mcast-address interface if-type value', extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}), is_container='list', yang_name="static-group", rest_name="static-group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Static Group to be Joined', u'cli-suppress-mode': None, u'callpoint': u'MldsSgVlan', u'cli-suppress-list-no': None}}, namespace='urn:brocade.com:mgmt:brocade-mld-snooping', defining_module='brocade-mld-snooping', yang_type='list', is_config=True) last_member_query_interval = __builtin__.property(_get_last_member_query_interval, _set_last_member_query_interval) last_member_query_count = __builtin__.property(_get_last_member_query_count, _set_last_member_query_count) startup_query_interval = __builtin__.property(_get_startup_query_interval, _set_startup_query_interval) startup_query_count = __builtin__.property(_get_startup_query_count, _set_startup_query_count) query_max_response_time = __builtin__.property(_get_query_max_response_time, _set_query_max_response_time) query_interval = __builtin__.property(_get_query_interval, _set_query_interval) mldVersion = __builtin__.property(_get_mldVersion, _set_mldVersion) enable = __builtin__.property(_get_enable, _set_enable) fast_leave = __builtin__.property(_get_fast_leave, _set_fast_leave) robustness_variable = __builtin__.property(_get_robustness_variable, _set_robustness_variable) querier = __builtin__.property(_get_querier, _set_querier) mrouter = __builtin__.property(_get_mrouter, _set_mrouter) static_group = __builtin__.property(_get_static_group, _set_static_group) _pyangbind_elements = {'last_member_query_interval': last_member_query_interval, 'last_member_query_count': last_member_query_count, 'startup_query_interval': startup_query_interval, 'startup_query_count': startup_query_count, 'query_max_response_time': query_max_response_time, 'query_interval': query_interval, 'mldVersion': mldVersion, 'enable': enable, 'fast_leave': fast_leave, 'robustness_variable': robustness_variable, 'querier': querier, 'mrouter': mrouter, 'static_group': static_group, }

92.173993

935

0.746379

6,983

50,327

5.140198

0.032508

0.035103

0.043684

0.028083

0.91383

0.894857

0.87243

0.86137

0.854572

0.836296

0

0.014321

0.107855

50,327

545

936

92.343119

0.785118

0.135474

0

0.465257

0

0.039275

0.408697

0.175192

0

1

0.126888

false

0

0.033233

0

0.271903

0

null

0

1

0

null

0

6

b50a0b2f52807696a2b6defb4e74fb9e5500e4b1

150

py

Python

api/admin.py

AntonioAlfrz/SecuredHome

a3c06c81c20a0b3b00af1cc34296b9256cb00138

[ "MIT" ]

null

api/admin.py

AntonioAlfrz/SecuredHome

a3c06c81c20a0b3b00af1cc34296b9256cb00138

[ "MIT" ]

null

api/admin.py

AntonioAlfrz/SecuredHome

a3c06c81c20a0b3b00af1cc34296b9256cb00138

[ "MIT" ]

null

from django.contrib import admin from django.contrib import admin from .models import Log, User admin.site.register(Log) admin.site.register(User)

16.666667

32

0.8

23

150

5.217391

0.434783

0.166667

0.283333

0.383333

0.5

0

0.12

150

8

33

18.75

0.909091

0

0.4

0

1

0

true

0

0.6

0

0.6

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

d23162f00e7226000fdccfeeb9d25bbe047ad419

22,498

py

Python

test_onnx2keras.py

95hali74/onnx-to-keras

b2286fbf9492f11a30ef955273cb4ec46a96e191

[ "MIT" ]

19

2019-12-17T03:11:04.000Z

2021-12-09T09:44:08.000Z

test_onnx2keras.py

95hali74/onnx-to-keras

b2286fbf9492f11a30ef955273cb4ec46a96e191

[ "MIT" ]

21

2020-05-05T21:44:21.000Z

2021-11-09T13:51:04.000Z

test_onnx2keras.py

95hali74/onnx-to-keras

b2286fbf9492f11a30ef955273cb4ec46a96e191

[ "MIT" ]

8

2020-05-20T16:37:40.000Z

2021-08-19T03:25:53.000Z

import warnings from io import BytesIO from tempfile import NamedTemporaryFile import onnx import torch.nn from torch.nn import Module import torch.nn.functional as F from torchvision import models from numpy.testing import assert_almost_equal import numpy as np import tensorflow as tf from onnx2keras import onnx2keras, compatible_data_format, OnnxConstant, OnnxTensor, InterleavedImageBatch, \ ensure_data_format, OptimizationMissingWarning def make_onnx_model(net, indata, opset_version=None): fd = BytesIO() torch.onnx.export(net, indata, fd, opset_version=opset_version) # with open("/tmp/t.onnx", "wb") as debug: torch.onnx.export(net, indata, debug, opset_version=opset_version) fd.seek(0) return onnx.load(fd) def convert_and_compare_output(net, indata, precition=5, image_out=True, savable=True, missing_optimizations=False, opset_version=None): try: return _convert_and_compare_output(net, indata, precition, image_out, savable, missing_optimizations, opset_version) except AssertionError: return _convert_and_compare_output(net, indata, precition, image_out, savable, missing_optimizations, opset_version) def _convert_and_compare_output(net, indata, precition=5, image_out=True, savable=True, missing_optimizations=False, opset_version=None): torch_indata = torch.tensor(indata) y1 = net(torch_indata).detach().numpy() onnx_model = make_onnx_model(net, torch.zeros_like(torch_indata), opset_version) with warnings.catch_warnings(record=True) as warns: warnings.simplefilter("always") kernas_net = onnx2keras(onnx_model) warns = [w for w in warns if w.category is OptimizationMissingWarning] if not missing_optimizations: assert len(warns) == 0 if savable: with NamedTemporaryFile() as f: f.close() kernas_net.save(f.name) y2 = kernas_net.predict(indata.transpose(0, 2, 3, 1)) if image_out: y2 = y2.transpose(0, 3, 1, 2) assert_almost_equal(y1, y2, precition) return kernas_net class GlobalAvgPool(Module): def forward(self, x): return x.mean([2, 3]) class TestUtils: def test_compatible_data_format(self): assert compatible_data_format(OnnxConstant, OnnxConstant) assert compatible_data_format(OnnxTensor, OnnxTensor) assert compatible_data_format(OnnxConstant, OnnxTensor) assert compatible_data_format(OnnxTensor, OnnxConstant) assert compatible_data_format(InterleavedImageBatch, InterleavedImageBatch) assert not compatible_data_format(OnnxTensor, InterleavedImageBatch) assert not compatible_data_format(OnnxConstant, InterleavedImageBatch) assert not compatible_data_format(InterleavedImageBatch, OnnxTensor) assert not compatible_data_format(InterleavedImageBatch, OnnxConstant) class TestOnnx: def test_conv(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 16, 7), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_conv_no_bias(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 16, 7, bias=False), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_conv_padding(self): net = torch.nn.Sequential(torch.nn.Conv2d(1, 16, 3, padding=1), torch.nn.ReLU()) x = np.random.rand(1, 1, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_prelu(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 16, 7), torch.nn.PReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_prelu_per_channel(self): act = torch.nn.PReLU(num_parameters=16) with torch.no_grad(): act.weight[:] = torch.tensor(range(16)) net = torch.nn.Sequential(torch.nn.Conv2d(3, 16, 7), act) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x, 5) def test_maxpool(self): net = torch.nn.Sequential(torch.nn.MaxPool2d(2)) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_maxpool_resnet(self): net = torch.nn.MaxPool2d(kernel_size=3, stride=2, padding=1) x = np.random.rand(1, 192, 272, 64).astype(np.float32) convert_and_compare_output(net, x) def test_concat(self): for axis in range(1,4): class Dbl(torch.nn.Module): def forward(self, x): return torch.cat((x, x), axis) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(Dbl(), x) def test_conv_transpose(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(3, 16, 5, 2), torch.nn.ReLU()) x = np.random.rand(1, 3, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_transpose_padding(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(3, 16, 4, 2, padding=1), torch.nn.ReLU()) x = np.random.rand(1, 3, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_different_padding(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 64, kernel_size=7, stride=1, padding=(3, 4))) x = np.random.rand(1, 3, 384, 544).astype(np.float32) convert_and_compare_output(net, x) def test_conv_transpose_no_bias(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(3, 16, 5, 2, bias=False), torch.nn.ReLU()) x = np.random.rand(1, 3, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_transpose_grouped_no_bias(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(16, 16, 5, 2, groups=2, bias=False), torch.nn.ReLU()) x = np.random.rand(1, 16, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_transpose_grouped_bias(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(16, 16, 5, 2, groups=2), torch.nn.ReLU()) x = np.random.rand(1, 16, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_transpose_grouped_fully(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(16, 16, 5, 2, groups=16), torch.nn.ReLU()) x = np.random.rand(1, 16, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_transpose_output_padding(self): net = torch.nn.Sequential(torch.nn.ConvTranspose2d(16, 16, 3, 2, output_padding=1), torch.nn.ReLU()) x = np.random.rand(1, 16, 112, 112).astype(np.float32) convert_and_compare_output(net, x) def test_conv_stride2_padding_strange(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3)) x = np.random.rand(1, 3, 384, 544).astype(np.float32) convert_and_compare_output(net, x) def test_conv_stride2_padding_simple_odd(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1)) x = np.random.rand(1, 3, 223, 223).astype(np.float32) kernas_net = convert_and_compare_output(net, x) assert [l.__class__.__name__ for l in kernas_net.layers] == ['InputLayer', 'Conv2D'] def test_conv_stride2_padding_simple_even(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1)) x = np.random.rand(1, 3, 224, 224).astype(np.float32) kernas_net = convert_and_compare_output(net, x) # assert [l.__class__.__name__ for l in kernas_net.layers] == ['InputLayer', 'Conv2D'] def test_batchnorm(self): bn = torch.nn.BatchNorm2d(3) bn.running_mean.uniform_() bn.running_var.uniform_() net = torch.nn.Sequential(bn, torch.nn.ReLU()) net.eval() x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_batchnorm1d(self): bn = torch.nn.BatchNorm1d(3) bn.running_mean.uniform_() bn.running_var.uniform_() net = torch.nn.Sequential(GlobalAvgPool(), bn, torch.nn.ReLU()) net.eval() x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_clamp(self): class Clamp(Module): def forward(self, x): return torch.clamp(x, 0.3, 0.7) net = torch.nn.Sequential(torch.nn.ReLU(), Clamp(), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x, savable=False) def test_relu6(self): class Clamp(Module): def forward(self, x): return torch.clamp(x, 0, 6) net = torch.nn.Sequential(torch.nn.ReLU(), Clamp(), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_leaky_relu(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 3, 3), torch.nn.LeakyReLU(), torch.nn.Conv2d(3, 3, 3)) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_depthwise(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 3, 7, groups=3), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_groupwise(self): net = torch.nn.Conv2d(8, 8, 7, groups=4) x = np.random.rand(1, 8, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_depthwise_no_bias(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 3, 7, groups=3, bias=False), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_add(self): class AddTst(Module): def __init__(self): Module.__init__(self) self.conv1 = torch.nn.Conv2d(3, 3, 7) self.conv2 = torch.nn.Conv2d(3, 3, 7) def forward(self, x): return self.conv1(x).relu_() + self.conv2(x).relu_() net = torch.nn.Sequential(AddTst(), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_global_avrage_pooling(self): net = torch.nn.Sequential(GlobalAvgPool(), torch.nn.ReLU()) x = np.random.rand(1, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_dropout(self): net = torch.nn.Sequential(GlobalAvgPool(), torch.nn.Dropout(), torch.nn.ReLU()) net.eval() x = np.random.rand(1, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_linear(self): net = torch.nn.Sequential(GlobalAvgPool(), torch.nn.Linear(3, 8), torch.nn.ReLU()) net.eval() x = np.random.rand(5, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_linear_no_bias(self): net = torch.nn.Sequential(GlobalAvgPool(), torch.nn.Linear(3, 8, bias=False), torch.nn.ReLU()) net.eval() x = np.random.rand(5, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_mobilenet_v2(self): net = models.mobilenet_v2() net.eval() x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_avg_pool_pad(self): class PadTst(Module): def forward(self, x): return F.avg_pool2d(x, kernel_size=3, stride=1, padding=1) net = torch.nn.Sequential(PadTst(), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_avg_pool_pad_asym(self): class PadTst(Module): def forward(self, x): return F.avg_pool2d(x, kernel_size=(3, 6), stride=(1, 2), padding=(1, 2)) net = torch.nn.Sequential(PadTst(), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_gloabl_avg_pool(self): class AvgTst(Module): def forward(self, x): return F.adaptive_avg_pool2d(x, (1, 1)) net = torch.nn.Sequential(AvgTst(), torch.nn.ReLU()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_flatten(self): class Tst(Module): def forward(self, x): return torch.flatten(x, 1) net = torch.nn.Sequential(Tst(), torch.nn.ReLU()) x = np.random.rand(1, 3, 1, 1).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_vector_pad(self): class VectorPad2D(Module): def forward(self, x): tt = [torch.nn.functional.pad(x[:, i:i + 1], [1,1,1,1], 'constant', [1,2,3][i]) for i in range(x.shape[1])] return torch.cat(tt, 1) net = torch.nn.Sequential(VectorPad2D(), torch.nn.ReLU()) x = np.random.rand(2, 3, 5, 5).astype(np.float32) convert_and_compare_output(net, x) def test_vector_pad_addhack(self): class VectorPad2D(Module): def forward(self, x): c = torch.tensor([1,2,3]).reshape(1, 3, 1, 1) return torch.nn.functional.pad(x - c, [1,1,1,1]) + c net = torch.nn.Sequential(VectorPad2D(), torch.nn.ReLU()) x = np.random.rand(1, 3, 5, 5).astype(np.float32) convert_and_compare_output(net, x) def test_vector_pad_addhack_asym(self): class VectorPad2D(Module): def forward(self, x): c = torch.tensor([1,2,3]).reshape(1, 3, 1, 1) return torch.nn.functional.pad(x - c, [1,0,1,0]) + c net = torch.nn.Sequential(VectorPad2D(), torch.nn.ReLU()) x = np.random.rand(1, 3, 5, 5).astype(np.float32) convert_and_compare_output(net, x) def test_sigmoid(self): net = torch.nn.Sequential(torch.nn.Conv2d(3, 16, 7), torch.nn.Sigmoid()) x = np.random.rand(1, 3, 224, 224).astype(np.float32) convert_and_compare_output(net, x) def test_upsample_nearest(self): net = torch.nn.Sequential(torch.nn.UpsamplingNearest2d(scale_factor=2), torch.nn.ReLU()) x = np.random.rand(1, 3, 32, 32).astype(np.float32) convert_and_compare_output(net, x) def test_upsample_nearest_v11(self): net = torch.nn.Sequential(torch.nn.UpsamplingNearest2d(scale_factor=2), torch.nn.ReLU()) x = np.random.rand(1, 3, 32, 32).astype(np.float32) convert_and_compare_output(net, x, opset_version=11) def test_upsample_bilinear(self): net = torch.nn.Sequential(torch.nn.UpsamplingBilinear2d(scale_factor=2), torch.nn.ReLU()) x = np.random.rand(1, 3, 32, 32).astype(np.float32) convert_and_compare_output(net, x, opset_version=11) def test_interpolate_nearest(self): class Net(Module): def forward(self, x): return F.interpolate(x, scale_factor=2, mode="nearest") net = torch.nn.Sequential(Net(), torch.nn.ReLU()) x = np.random.rand(1, 3, 32, 32).astype(np.float32) convert_and_compare_output(net, x) def test_interpolate_bilinear(self): class Net(Module): def forward(self, x): return F.interpolate(x, scale_factor=2, mode="bilinear", align_corners=True) net = torch.nn.Sequential(Net(), torch.nn.ReLU()) x = np.random.rand(1, 3, 32, 32).astype(np.float32) convert_and_compare_output(net, x, opset_version=11) def test_eq_mul(self): class EqProd(Module): def forward(self, x): maxmap = F.max_pool2d(x, 3, 1, 1, 1, False, False) return x * (maxmap == x) net = torch.nn.Sequential(EqProd(), torch.nn.ReLU()) x = np.random.rand(1, 3, 5, 5).astype(np.float32) convert_and_compare_output(net, x) def test_adaptive_avgpool_reshape(self): class Net(Module): def forward(self, x): return F.adaptive_avg_pool2d(x, 1).reshape(x.shape[0], -1) net = torch.nn.Sequential(Net(), torch.nn.ReLU()) x = np.random.rand(1, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) x = np.random.rand(4, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_bmm(self): class Net(Module): def forward(self, x): x = x.reshape(1, 16, 16) return torch.bmm(x, x) net = torch.nn.Sequential(Net(), torch.nn.ReLU()) x = np.random.rand(1, 1, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_matmul(self): class Net(Module): def forward(self, x): x = x.reshape(1, 1, 16, 16) return torch.matmul(x, x) net = torch.nn.Sequential(Net(), torch.nn.ReLU()) x = np.random.rand(1, 1, 16, 16).astype(np.float32) convert_and_compare_output(net, x, image_out=False) def test_unsupported_optimasation(self): class Reshape(Module): def forward(self, x): return x.reshape(4, 4, 16, 16) net = torch.nn.Sequential(GlobalAvgPool(), torch.nn.Linear(3, 4 * 16 * 16), Reshape(), torch.nn.Conv2d(4, 3, 3), torch.nn.ReLU()) net.eval() x = np.random.rand(4, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x, missing_optimizations=True) def test_sqrt(self): class Sq(Module): def forward(self, x): return torch.sqrt(x) net = torch.nn.Sequential(Sq(), torch.nn.ReLU()) x = np.random.rand(4, 3, 16, 16).astype(np.float32) is_tf1 = tuple(map(int, tf.__version__.split('.'))) < (2, 0, 0) convert_and_compare_output(net, x, savable=(not is_tf1)) def test_abs(self): class Abs(Module): def forward(self, x): return torch.abs(x) net = torch.nn.Sequential(Abs(), torch.nn.ReLU()) x = np.random.rand(4, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x) def test_neg(self): class Neg(Module): def forward(self, x): return -x net = torch.nn.Sequential(Neg(), torch.nn.ReLU()) x = np.random.rand(4, 3, 16, 16).astype(np.float32) convert_and_compare_output(net, x) def test_center_crop(self): class CenterCrop8x8(Module): def forward(self, x): n, c, h, w = x.shape dx = (w - 8) // 2 dy = (h - 8) // 2 crop = x[:, :, dy:dy+8, dx:dx+8] return crop net = torch.nn.Sequential(CenterCrop8x8(), torch.nn.ReLU()) x = np.random.rand(4, 3, 16, 32).astype(np.float32) convert_and_compare_output(net, x, opset_version=11) def test_mul(self): class Mul(Module): def forward(self, x): return x * x net = torch.nn.Sequential(Mul(), torch.nn.ReLU()) x = np.random.rand(4, 3, 16, 32).astype(np.float32) convert_and_compare_output(net, x, opset_version=11) def test_mul_const(self): class Mul(Module): def forward(self, x): return (2 * x) * (x * 2) net = torch.nn.Sequential(Mul(), torch.nn.ReLU()) x = np.random.rand(4, 3, 16, 32).astype(np.float32) convert_and_compare_output(net, x, opset_version=11) def test_concat_for_OnnxTensor(self): batch = 4 class Net(Module): def __init__(self): super().__init__() self.conv1 = torch.nn.Conv2d(3, 4, 5) self.conv2 = torch.nn.Conv2d(3, 4, 5) self.ClassHead = torch.nn.ModuleList([torch.nn.Conv2d(4, 16, 3), torch.nn.Conv2d(4, 16, 3)]) def forward(self, x): features = [self.conv1(x), self.conv2(x)] classifications = torch.cat([self.ClassHead[i](feature).reshape(batch, -1, 2) for i, feature in enumerate(features)], dim=1) return classifications x = np.random.rand(batch, 3, 16, 32).astype(np.float32) convert_and_compare_output(Net(), x, missing_optimizations=True, image_out=False) def test_transpose_to_onnx_testor(self): class Net(Module): def forward(self, x): return x.permute(0,2,3,1) x = np.random.rand(2, 3, 16, 32).astype(np.float32) convert_and_compare_output(Net(), x, image_out=False) def test_concat_for_OnnxTensor_optimized(self): batch = 4 class Net(Module): def __init__(self): super().__init__() self.conv1 = torch.nn.Conv2d(3, 4, 5) self.conv2 = torch.nn.Conv2d(3, 4, 5) self.ClassHead = torch.nn.ModuleList([torch.nn.Conv2d(4, 16, 3), torch.nn.Conv2d(4, 16, 3)]) def forward(self, x): features = [self.conv1(x), self.conv2(x)] classifications = torch.cat([self.ClassHead[i](feature).permute(0,2,3,1).reshape(batch, -1, 2) for i, feature in enumerate(features)], dim=1) return classifications x = np.random.rand(batch, 3, 16, 32).astype(np.float32) convert_and_compare_output(Net(), x, image_out=False) def test_gather(self): class Net(Module): def forward(self, x): return x.permute(0,2,3,1).select(2,1) net = torch.nn.Sequential(Net(), torch.nn.ReLU()) x = np.random.rand(2, 3, 16, 32).astype(np.float32) convert_and_compare_output(net, x, image_out=False) # def test_inception_v3(self): # net = models.Inception3(aux_logits=False) # net.eval() # x = np.random.rand(1, 3, 299, 299).astype(np.float32) # convert_and_compare_output(net, x, image_out=False)

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1

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null

0

1

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6

d27b46639a651842c5c352055f9757ae6c49a525

151

py

Python

users/models.py

titan-65/django_experimth

e877098c69c026e6ca000d0ae51636163e989637

[ "MIT" ]

2

2020-12-18T01:25:21.000Z

2020-12-25T17:45:35.000Z

users/models.py

titan-65/django_experimth

e877098c69c026e6ca000d0ae51636163e989637

[ "MIT" ]

null

users/models.py

titan-65/django_experimth

e877098c69c026e6ca000d0ae51636163e989637

[ "MIT" ]

null

from django.contrib.auth.models import AbstractUser from django.db import models # Create your models here. class CustomUser(AbstractUser): pass

18.875

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964b0ce910f027dfb48790b49e2360dcd806ad7c

106

py

Python

numba/testing/__main__.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

6,620

2015-01-04T08:51:04.000Z

2022-03-31T12:52:18.000Z

numba/testing/__main__.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

6,457

2015-01-04T03:18:41.000Z

2022-03-31T17:38:42.000Z

numba/testing/__main__.py

auderson/numba

3d67c9850ab56457f418cf40af6245fd9c337705

[ "BSD-2-Clause" ]

930

2015-01-25T02:33:03.000Z

2022-03-30T14:10:32.000Z

import sys from numba.testing import run_tests sys.exit(0 if run_tests(sys.argv).wasSuccessful() else 1)

21.2

57

0.792453

19

106

4.315789

0.736842

0.195122

0.268293

0

0.021277

0.113208

106

4

58

26.5

0.851064

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

9654c38792c126772e4c199cab5ee1e0d91d8101

43

py

Python

scripts/deploy.py

rigidus/et

11cc30260f9aa7587a06c84ab9e0895e2c068875

[ "Xnet", "X11" ]

null

scripts/deploy.py

rigidus/et

11cc30260f9aa7587a06c84ab9e0895e2c068875

[ "Xnet", "X11" ]

null

scripts/deploy.py

rigidus/et

11cc30260f9aa7587a06c84ab9e0895e2c068875

[ "Xnet", "X11" ]

1

2021-04-19T08:07:09.000Z

from brownie import ZERO_ADDRESS, accounts

21.5

42

0.860465

6

43

6

1

0

0.116279

43

1

43

0.947368

0

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true

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0

null

0

1

0

1

0

1

0

6

9685e509cb8d029c094159536c0f4f52457ea7ae

95,767

py

Python

test/integration/plugins/solidfire/TestVolumes.py

saliven1970/cloudstack

4617be458387421bbbfc120c1f054c9939ba52eb

[ "Apache-2.0" ]

2

2021-10-31T01:04:26.000Z

2021-11-08T09:43:30.000Z

test/integration/plugins/solidfire/TestVolumes.py

saliven1970/cloudstack

4617be458387421bbbfc120c1f054c9939ba52eb

[ "Apache-2.0" ]

20

2020-12-19T22:32:23.000Z

2022-02-01T01:07:06.000Z

test/integration/plugins/solidfire/TestVolumes.py

saliven1970/cloudstack

4617be458387421bbbfc120c1f054c9939ba52eb

[ "Apache-2.0" ]

2

2016-11-10T16:29:26.000Z

2019-05-20T12:23:35.000Z

# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import logging import random import SignedAPICall import time import XenAPI from solidfire.factory import ElementFactory from util import sf_util # All tests inherit from cloudstackTestCase from marvin.cloudstackTestCase import cloudstackTestCase # Import Integration Libraries # base - contains all resources as entities and defines create, delete, list operations on them from marvin.lib.base import Account, DiskOffering, ServiceOffering, Snapshot, StoragePool, Template, User, VirtualMachine, Volume # common - commonly used methods for all tests are listed here from marvin.lib.common import get_domain, get_template, get_zone, list_clusters, list_hosts, list_virtual_machines, \ list_volumes # utils - utility classes for common cleanup, external library wrappers, etc. from marvin.lib.utils import cleanup_resources # Prerequisites: # Only one zone # Only one pod # Only one cluster # # Running the tests: # Change the "hypervisor_type" variable to control which hypervisor type to test. # If using XenServer, verify the "xen_server_hostname" variable is correct. # If using XenServer, change the "supports_cloning" variable to True or False as desired. # # Note: # If you do have more than one cluster, you might need to change this line: cls.cluster = list_clusters(cls.apiClient)[0] and # this variable's value: TestData.clusterId. class TestData(): # constants account = "account" capacityBytes = "capacitybytes" capacityIops = "capacityiops" clusterId = "clusterId" computeOffering = "computeoffering" diskName = "diskname" diskOffering = "diskoffering" domainId = "domainId" hypervisor = "hypervisor" kvm = "kvm" login = "login" mvip = "mvip" one_GB_in_bytes = 1073741824 password = "password" port = "port" primaryStorage = "primarystorage" provider = "provider" scope = "scope" solidFire = "solidfire" storageTag = "SolidFire_SAN_1" tags = "tags" templateCacheNameKvm = "centos55-x86-64" templateCacheNameXenServer = "centos56-x86-64-xen" # templateCacheNameXenServer = "centos65-x86-64-XenServer" testAccount = "testaccount" url = "url" user = "user" username = "username" virtualMachine = "virtualmachine" virtualMachine2 = "virtualmachine2" volume_1 = "volume_1" volume_2 = "volume_2" xenServer = "xenserver" zoneId = "zoneId" # modify to control which hypervisor type to test hypervisor_type = xenServer xen_server_hostname = "XenServer-6.5-1" def __init__(self): self.testdata = { TestData.solidFire: { TestData.mvip: "10.117.78.225", TestData.username: "admin", TestData.password: "admin", TestData.port: 443, TestData.url: "https://10.117.78.225:443" }, TestData.kvm: { TestData.username: "root", TestData.password: "solidfire" }, TestData.xenServer: { TestData.username: "root", TestData.password: "solidfire" }, TestData.account: { "email": "test@test.com", "firstname": "John", "lastname": "Doe", "username": "test", "password": "test" }, TestData.testAccount: { "email": "test2@test2.com", "firstname": "Jane", "lastname": "Doe", "username": "test2", "password": "test" }, TestData.user: { "email": "user@test.com", "firstname": "Jane", "lastname": "Doe", "username": "testuser", "password": "password" }, TestData.primaryStorage: { "name": "SolidFire-%d" % random.randint(0, 100), TestData.scope: "ZONE", "url": "MVIP=10.117.78.225;SVIP=10.117.94.225;" + "clusterAdminUsername=admin;clusterAdminPassword=admin;" + "clusterDefaultMinIops=10000;clusterDefaultMaxIops=15000;" + "clusterDefaultBurstIopsPercentOfMaxIops=1.5;", TestData.provider: "SolidFire", TestData.tags: TestData.storageTag, TestData.capacityIops: 4500000, TestData.capacityBytes: 2251799813685248, TestData.hypervisor: "Any" }, TestData.virtualMachine: { "name": "TestVM", "displayname": "Test VM" }, TestData.virtualMachine2: { "name": "TestVM2", "displayname": "Test VM 2" }, TestData.computeOffering: { "name": "SF_CO_1", "displaytext": "SF_CO_1 (Min IOPS = 10,000; Max IOPS = 15,000)", "cpunumber": 1, "cpuspeed": 100, "memory": 128, "storagetype": "shared", "customizediops": False, "miniops": "10000", "maxiops": "15000", "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag }, TestData.diskOffering: { "name": "SF_DO_1", "displaytext": "SF_DO_1 (Min IOPS = 300; Max IOPS = 500)", "disksize": 128, "customizediops": False, "miniops": 300, "maxiops": 500, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" }, TestData.volume_1: { TestData.diskName: "test-volume", }, TestData.volume_2: { TestData.diskName: "test-volume-2", }, TestData.zoneId: 1, TestData.clusterId: 1, TestData.domainId: 1, TestData.url: "10.117.40.114" } class TestVolumes(cloudstackTestCase): _should_only_be_one_vm_in_list_err_msg = "There should only be one VM in this list." _should_only_be_one_volume_in_list_err_msg = "There should only be one volume in this list." _should_only_be_one_host_in_list_err_msg = "There should only be one host in this list." _should_only_be_two_volumes_in_list_err_msg = "There should only be two volumes in this list." _sf_account_id_should_be_non_zero_int_err_msg = "The SolidFire account ID should be a non-zero integer." _volume_size_should_be_non_zero_int_err_msg = "The SolidFire volume size should be a non-zero integer." _volume_vm_id_and_vm_id_do_not_match_err_msg = "The volume's VM ID and the VM's ID do not match." _vm_not_in_running_state_err_msg = "The VM is not in the 'Running' state." _vm_not_in_stopped_state_err_msg = "The VM is not in the 'Stopped' state." _volume_response_should_not_be_zero_err_msg = "The length of the response for the SolidFire-volume query should not be zero." _volume_should_not_be_in_a_vag = "The volume should not be in a volume access group." _volume_size_not_an_int = "'volume_size_in_GB' is not of type 'int'" _only_data_volumes_err_msg = "Only data volumes can be resized via a new disk offering." _to_change_volume_size_err_msg = "To change a volume's size without providing a new disk offering, its current " \ "disk offering must be customizable or it must be a root volume (if providing a disk offering, make sure it is " \ "different from the current disk offering)." _min_iops_err_msg = "The current disk offering does not support customization of the 'Min IOPS' parameter." _this_kind_of_disk_err_msg = "This kind of KVM disk cannot be resized while it is connected to a VM that's not in the Stopped state." _template_creation_did_not_fail_err_msg = "The template creation did not fail (as expected)." _volume_resize_did_not_fail_err_msg = "The volume resize did not fail (as expected)." _volume_attached_to_non_stopped_vm_err_msg = "volume is attached to a non-stopped VM" @classmethod def setUpClass(cls): # Set up API client testclient = super(TestVolumes, cls).getClsTestClient() cls.apiClient = testclient.getApiClient() cls.configData = testclient.getParsedTestDataConfig() cls.dbConnection = testclient.getDbConnection() cls.testdata = TestData().testdata cls._handle_supports_cloning() cls._connect_to_hypervisor() # Set up SolidFire connection solidfire = cls.testdata[TestData.solidFire] cls.sfe = ElementFactory.create(solidfire[TestData.mvip], solidfire[TestData.username], solidfire[TestData.password]) # Get Resources from Cloud Infrastructure cls.zone = get_zone(cls.apiClient, zone_id=cls.testdata[TestData.zoneId]) cls.cluster = list_clusters(cls.apiClient)[0] cls.template = get_template(cls.apiClient, cls.zone.id, hypervisor=TestData.hypervisor_type) cls.domain = get_domain(cls.apiClient, cls.testdata[TestData.domainId]) # Create test account cls.account = Account.create( cls.apiClient, cls.testdata["account"], admin=1 ) # Set up connection to make customized API calls cls.user = User.create( cls.apiClient, cls.testdata["user"], account=cls.account.name, domainid=cls.domain.id ) url = cls.testdata[TestData.url] api_url = "http://" + url + ":8080/client/api" userkeys = User.registerUserKeys(cls.apiClient, cls.user.id) cls.cs_api = SignedAPICall.CloudStack(api_url, userkeys.apikey, userkeys.secretkey) primarystorage = cls.testdata[TestData.primaryStorage] cls.primary_storage = StoragePool.create( cls.apiClient, primarystorage, scope=primarystorage[TestData.scope], zoneid=cls.zone.id, provider=primarystorage[TestData.provider], tags=primarystorage[TestData.tags], capacityiops=primarystorage[TestData.capacityIops], capacitybytes=primarystorage[TestData.capacityBytes], hypervisor=primarystorage[TestData.hypervisor] ) cls.compute_offering = ServiceOffering.create( cls.apiClient, cls.testdata[TestData.computeOffering] ) cls.disk_offering = DiskOffering.create( cls.apiClient, cls.testdata[TestData.diskOffering] ) # Create VM and volume for tests cls.virtual_machine = VirtualMachine.create( cls.apiClient, cls.testdata[TestData.virtualMachine], accountid=cls.account.name, zoneid=cls.zone.id, serviceofferingid=cls.compute_offering.id, templateid=cls.template.id, domainid=cls.domain.id, startvm=False ) TestVolumes._start_vm(cls.virtual_machine) cls.volume = Volume.create( cls.apiClient, cls.testdata[TestData.volume_1], account=cls.account.name, domainid=cls.domain.id, zoneid=cls.zone.id, diskofferingid=cls.disk_offering.id ) # Resources that are to be destroyed cls._cleanup = [ cls.volume, cls.virtual_machine, cls.compute_offering, cls.disk_offering, cls.user, cls.account ] @classmethod def tearDownClass(cls): try: cleanup_resources(cls.apiClient, cls._cleanup) cls.primary_storage.delete(cls.apiClient) sf_util.purge_solidfire_volumes(cls.sfe) except Exception as e: logging.debug("Exception in tearDownClass(cls): %s" % e) def setUp(self): self.attached = False self.cleanup = [] def tearDown(self): if self.attached: self.virtual_machine.detach_volume(self.apiClient, self.volume) cleanup_resources(self.apiClient, self.cleanup) def test_00_check_template_cache(self): if self._supports_cloning == False: return sf_volumes = self._get_active_sf_volumes() sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, self._get_template_cache_name(), self) self.assertEqual( len(sf_volume.volume_access_groups), 0, "The volume should not be in a VAG." ) sf_account_id = sf_volume.account_id sf_account = self.sfe.get_account_by_id(sf_account_id).account sf_account_name = sf_account.username self.assertEqual( sf_account_name.endswith("_1"), True, "The template cache volume's account does not end with '_1'." ) def test_01_attach_new_volume_to_stopped_VM(self): '''Attach a volume to a stopped virtual machine, then start VM''' self.virtual_machine.stop(self.apiClient) new_volume = Volume.create( self.apiClient, self.testdata[TestData.volume_2], account=self.account.name, domainid=self.domain.id, zoneid=self.zone.id, diskofferingid=self.disk_offering.id ) self.cleanup.append(new_volume) sf_util.check_and_get_cs_volume(self, new_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) new_volume = self.virtual_machine.attach_volume( self.apiClient, new_volume ) newvolume = sf_util.check_and_get_cs_volume(self, new_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) TestVolumes._start_vm(self.virtual_machine) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( newvolume.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), "running", TestVolumes._vm_not_in_running_state_err_msg ) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, new_volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_iscsi_name = sf_util.get_iqn(self.cs_api, new_volume, self) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, newvolume.name, self) sf_util.check_size_and_iops(sf_volume, newvolume, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) # Detach volume new_volume = self.virtual_machine.detach_volume( self.apiClient, new_volume ) def test_02_attach_detach_attach_volume(self): '''Attach, detach, and attach volume to a running VM''' TestVolumes._start_vm(self.virtual_machine) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) ####################################### ####################################### # STEP 1: Attach volume to running VM # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) ######################################### ######################################### # STEP 2: Detach volume from running VM # ######################################### ######################################### self.volume = self.virtual_machine.detach_volume( self.apiClient, self.volume ) self.attached = False vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, None, "The volume should not be attached to a VM." ) self.assertEqual( vm.state.lower(), 'running', str(vm.state) ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, "The volume should not be in a VAG." ) self._check_host_side(sf_iscsi_name, vm.hostid, False) ####################################### ####################################### # STEP 3: Attach volume to running VM # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) def test_03_attached_volume_reboot_VM(self): '''Attach volume to running VM, then reboot.''' TestVolumes._start_vm(self.virtual_machine) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) ####################################### ####################################### # STEP 1: Attach volume to running VM # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) ####################################### ####################################### # STEP 2: Reboot VM with attached vol # ####################################### ####################################### TestVolumes._reboot_vm(self.virtual_machine) vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) def test_04_detach_volume_reboot(self): '''Detach volume from a running VM, then reboot.''' TestVolumes._start_vm(self.virtual_machine) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) ####################################### ####################################### # STEP 1: Attach volume to running VM # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) ######################################### ######################################### # STEP 2: Detach volume from running VM # ######################################### ######################################### self.volume = self.virtual_machine.detach_volume( self.apiClient, self.volume ) self.attached = False vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, None, "The volume should not be attached to a VM." ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, TestVolumes._volume_should_not_be_in_a_vag ) self._check_host_side(sf_iscsi_name, vm.hostid, False) ####################################### ####################################### # STEP 3: Reboot VM with detached vol # ####################################### ####################################### self.virtual_machine.reboot(self.apiClient) vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, TestVolumes._volume_should_not_be_in_a_vag ) self._check_host_side(sf_iscsi_name, vm.hostid, False) def test_05_detach_vol_stopped_VM_start(self): '''Detach volume from a stopped VM, then start.''' TestVolumes._start_vm(self.virtual_machine) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) ####################################### ####################################### # STEP 1: Attach volume to running VM # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) hostid = vm.hostid ######################################### ######################################### # STEP 2: Detach volume from stopped VM # ######################################### ######################################### self.virtual_machine.stop(self.apiClient) self.volume = self.virtual_machine.detach_volume( self.apiClient, self.volume ) self.attached = False vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, None, "The volume should not be attached to a VM." ) self.assertEqual( vm.state.lower(), 'stopped', TestVolumes._vm_not_in_stopped_state_err_msg ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, TestVolumes._volume_should_not_be_in_a_vag ) self._check_host_side(sf_iscsi_name, hostid, False) ####################################### ####################################### # STEP 3: Start VM with detached vol # ####################################### ####################################### TestVolumes._start_vm(self.virtual_machine) vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, TestVolumes._volume_should_not_be_in_a_vag ) self._check_host_side(sf_iscsi_name, vm.hostid, False) def test_06_attach_volume_to_stopped_VM(self): '''Attach a volume to a stopped virtual machine, then start VM''' self.virtual_machine.stop(self.apiClient) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) ####################################### ####################################### # STEP 1: Attach volume to stopped VM # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'stopped', TestVolumes._vm_not_in_stopped_state_err_msg ) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) if TestData.hypervisor_type == TestData.kvm: self._check_host_side(sf_iscsi_name, None, False) elif TestData.hypervisor_type == TestData.xenServer: self._check_host_side(sf_iscsi_name) TestVolumes._start_vm(self.virtual_machine) vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) def test_07_destroy_expunge_VM_with_volume(self): '''Destroy and expunge VM with attached volume''' ####################################### ####################################### # STEP 1: Create VM and attach volume # ####################################### ####################################### test_virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine2], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=False ) TestVolumes._start_vm(test_virtual_machine) self.volume = test_virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(test_virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, TestVolumes._volume_vm_id_and_vm_id_do_not_match_err_msg ) self.assertEqual( vm.state.lower(), 'running', TestVolumes._vm_not_in_running_state_err_msg ) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) hostid = vm.hostid ####################################### ####################################### # STEP 2: Destroy and Expunge VM # ####################################### ####################################### test_virtual_machine.delete(self.apiClient, True) self.attached = False vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) self.assertEqual( vol.virtualmachineid, None, "Check if attached to virtual machine" ) self.assertEqual( vol.vmname, None, "Check if VM was expunged" ) list_virtual_machine_response = list_virtual_machines( self.apiClient, id=test_virtual_machine.id ) self.assertEqual( list_virtual_machine_response, None, "Check if VM was actually expunged" ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, TestVolumes._volume_should_not_be_in_a_vag ) self._check_host_side(sf_iscsi_name, hostid, False) def test_08_delete_volume_was_attached(self): '''Delete volume that was attached to a VM and is detached now''' TestVolumes._start_vm(self.virtual_machine) ####################################### ####################################### # STEP 1: Create vol and attach to VM # ####################################### ####################################### new_volume = Volume.create( self.apiClient, self.testdata[TestData.volume_2], account=self.account.name, domainid=self.domain.id, zoneid=self.zone.id, diskofferingid=self.disk_offering.id ) volume_to_delete_later = new_volume sf_util.check_and_get_cs_volume(self, new_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) new_volume = self.virtual_machine.attach_volume( self.apiClient, new_volume ) vol = sf_util.check_and_get_cs_volume(self, new_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, "Check if attached to virtual machine" ) self.assertEqual( vm.state.lower(), 'running', str(vm.state) ) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, new_volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_iscsi_name = sf_util.get_iqn(self.cs_api, new_volume, self) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_util.check_vag(sf_volume, sf_vag_id, self) self._check_host_side(sf_iscsi_name, vm.hostid) ####################################### ####################################### # STEP 2: Detach and delete volume # ####################################### ####################################### new_volume = self.virtual_machine.detach_volume( self.apiClient, new_volume ) vol = sf_util.check_and_get_cs_volume(self, new_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, None, "Check if attached to virtual machine" ) self.assertEqual( vm.state.lower(), 'running', str(vm.state) ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) self.assertEqual( len(sf_volume.volume_access_groups), 0, TestVolumes._volume_should_not_be_in_a_vag ) self._check_host_side(sf_iscsi_name, vm.hostid, False) volume_to_delete_later.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=new_volume.id ) self.assertEqual( list_volumes_response, None, "Check volume was deleted" ) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self, False) def test_09_attach_volumes_multiple_accounts(self): '''Attach a data disk to a VM in one account and attach another data disk to a VM in another account''' TestVolumes._start_vm(self.virtual_machine) ####################################### ####################################### # STEP 1: Create account, VM, and vol # ####################################### ####################################### test_account = Account.create( self.apiClient, self.testdata[TestData.testAccount], admin=1 ) self.cleanup.append(test_account) test_virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine2], accountid=test_account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=False ) TestVolumes._start_vm(test_virtual_machine) test_volume = Volume.create( self.apiClient, self.testdata[TestData.volume_2], zoneid=self.zone.id, account=test_account.name, domainid=self.domain.id, diskofferingid=self.disk_offering.id ) sf_util.check_and_get_cs_volume(self, test_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) ####################################### ####################################### # STEP 2: Attach volumes to VMs # ####################################### ####################################### self.volume = self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) vm = self._get_vm(self.virtual_machine.id) self.assertEqual( vol.virtualmachineid, vm.id, "Check if attached to virtual machine" ) self.assertEqual( vm.state.lower(), 'running', str(vm.state) ) test_volume = test_virtual_machine.attach_volume( self.apiClient, test_volume ) test_vol = sf_util.check_and_get_cs_volume(self, test_volume.id, self.testdata[TestData.volume_2][TestData.diskName], self) test_vm = self._get_vm(test_virtual_machine.id) self.assertEqual( test_vol.virtualmachineid, test_vm.id, "Check if attached to virtual machine of other acct" ) self.assertEqual( test_vm.state.lower(), 'running', str(test_vm.state) ) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, vol, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) self._check_host_side(sf_iscsi_name, vm.hostid) sf_util.check_vag(sf_volume, sf_vag_id, self) sf_test_account_id = sf_util.get_sf_account_id(self.cs_api, test_account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_test_volumes = self._get_active_sf_volumes(sf_test_account_id) sf_test_volume = sf_util.check_and_get_sf_volume(sf_test_volumes, test_vol.name, self) sf_test_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, test_vol, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_test_volume_size) sf_util.check_size_and_iops(sf_test_volume, test_vol, sf_test_volume_size, self) sf_test_iscsi_name = sf_util.get_iqn(self.cs_api, test_volume, self) self._check_host_side(sf_test_iscsi_name, test_vm.hostid) sf_util.check_vag(sf_test_volume, sf_vag_id, self) def test_10_attach_more_than_one_disk_to_VM(self): '''Attach more than one disk to a VM''' TestVolumes._start_vm(self.virtual_machine) volume_2 = Volume.create( self.apiClient, self.testdata[TestData.volume_2], zoneid=self.zone.id, account=self.account.name, domainid=self.domain.id, diskofferingid=self.disk_offering.id ) self.cleanup.append(volume_2) sf_util.check_and_get_cs_volume(self, volume_2.id, self.testdata[TestData.volume_2][TestData.diskName], self) ####################################### ####################################### # Step 1: Attach volumes to VM # ####################################### ####################################### self.virtual_machine.attach_volume( self.apiClient, self.volume ) self.attached = True vol = sf_util.check_and_get_cs_volume(self, self.volume.id, self.testdata[TestData.volume_1][TestData.diskName], self) self.virtual_machine.attach_volume( self.apiClient, volume_2 ) vol_2 = sf_util.check_and_get_cs_volume(self, volume_2.id, self.testdata[TestData.volume_2][TestData.diskName], self) sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, self.volume, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_size) sf_volume_2_size = sf_util.get_volume_size_with_hsr(self.cs_api, volume_2, self) self._verify_hsr(self.disk_offering.disksize, self.disk_offering.hypervisorsnapshotreserve, sf_volume_2_size) sf_vag_id = sf_util.get_vag_id(self.cs_api, self.cluster.id, self.primary_storage.id, self) sf_volumes = self._get_active_sf_volumes(sf_account_id) sf_volume = sf_util.check_and_get_sf_volume(sf_volumes, vol.name, self) sf_util.check_size_and_iops(sf_volume, vol, sf_volume_size, self) sf_iscsi_name = sf_util.get_iqn(self.cs_api, self.volume, self) vm = self._get_vm(self.virtual_machine.id) self._check_host_side(sf_iscsi_name, vm.hostid) sf_util.check_vag(sf_volume, sf_vag_id, self) sf_volume_2 = sf_util.check_and_get_sf_volume(sf_volumes, vol_2.name, self) sf_util.check_size_and_iops(sf_volume_2, vol_2, sf_volume_2_size, self) sf_iscsi_name_2 = sf_util.get_iqn(self.cs_api, volume_2, self) self._check_host_side(sf_iscsi_name_2, vm.hostid) sf_util.check_vag(sf_volume_2, sf_vag_id, self) self.virtual_machine.detach_volume(self.apiClient, volume_2) def test_11_template_from_volume(self): if TestData.hypervisor_type != TestData.kvm: return list_volumes_response = list_volumes( self.apiClient, virtualmachineid=self.virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) vm_1_root_volume = list_volumes_response[0] services = {"displaytext": "Template-1", "name": "Template-1-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} try: Template.create_from_volume(self.apiClient, vm_1_root_volume, services) raise Exception(TestVolumes._template_creation_did_not_fail_err_msg) except Exception as e: if TestVolumes._volume_attached_to_non_stopped_vm_err_msg not in e.errorMsg: raise self.virtual_machine.stop(self.apiClient) template = Template.create_from_volume(self.apiClient, vm_1_root_volume, services) self.cleanup.append(template) vol_snap = Snapshot.create(self.apiClient, volume_id=vm_1_root_volume.id) self.cleanup.append(vol_snap) TestVolumes._start_vm(self.virtual_machine) self._create_vm_using_template_and_destroy_vm(template) services = {"diskname": "Vol-1", "zoneid": self.testdata[TestData.zoneId], "ispublic": True} volume_created_from_snapshot = Volume.create_from_snapshot(self.apiClient, vol_snap.id, services, account=self.account.name, domainid=self.domain.id) self.cleanup.append(volume_created_from_snapshot) services = {"displaytext": "Template-2", "name": "Template-2-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template = Template.create_from_volume(self.apiClient, volume_created_from_snapshot, services) self.cleanup.append(template) self._create_vm_using_template_and_destroy_vm(template) volume_created_from_snapshot = self.virtual_machine.attach_volume( self.apiClient, volume_created_from_snapshot ) services = {"displaytext": "Template-3", "name": "Template-3-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} try: Template.create_from_volume(self.apiClient, volume_created_from_snapshot, services) raise Exception(TestVolumes._template_creation_did_not_fail_err_msg) except Exception as e: if TestVolumes._volume_attached_to_non_stopped_vm_err_msg not in e.errorMsg: raise self.virtual_machine.stop(self.apiClient) template = Template.create_from_volume(self.apiClient, volume_created_from_snapshot, services) self.cleanup.append(template) volume_created_from_snapshot = self.virtual_machine.detach_volume( self.apiClient, volume_created_from_snapshot ) TestVolumes._start_vm(self.virtual_machine) self._create_vm_using_template_and_destroy_vm(template) services = {"displaytext": "Template-4", "name": "Template-4-name", "ostypeid": self.template.ostypeid, "ispublic": "true"} template = Template.create_from_volume(self.apiClient, volume_created_from_snapshot, services) self.cleanup.append(template) self._create_vm_using_template_and_destroy_vm(template) def test_12_resize_volume_on_running_vm(self): if TestData.hypervisor_type != TestData.kvm: return test_virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine2], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=True ) self.cleanup.append(test_virtual_machine) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=test_virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) test_vm_root_volume = Volume(list_volumes_response[0].__dict__) self._handle_root_volume_with_started_vm(test_vm_root_volume) volume_name = { TestData.diskName: "test-volume-a", } test_vm_data_volume = Volume.create( self.apiClient, volume_name, account=self.account.name, domainid=self.domain.id, zoneid=self.zone.id, diskofferingid=self.disk_offering.id ) self.cleanup.append(test_vm_data_volume) test_vm_data_volume = test_virtual_machine.attach_volume( self.apiClient, test_vm_data_volume ) test_vm_data_volume = Volume(test_vm_data_volume.__dict__) self._handle_data_volume_with_started_vm(test_vm_data_volume) custom_disk_offering = { "name": "SF_DO_A", "displaytext": "SF_DO_A (Custom)", "customized": True, "customizediops": True, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } custom_disk_offering = DiskOffering.create( self.apiClient, custom_disk_offering, custom=True ) self.cleanup.append(custom_disk_offering) services = { TestData.diskName: "test-volume-custom-a", "customdisksize": 100, "customminiops": 1000, "custommaxiops": 2000, "zoneid": self.testdata[TestData.zoneId] } test_vm_data_volume = Volume.create_custom_disk( self.apiClient, services, account=self.account.name, domainid=self.domain.id, diskofferingid=custom_disk_offering.id ) self.cleanup.append(test_vm_data_volume) test_vm_data_volume = test_virtual_machine.attach_volume( self.apiClient, test_vm_data_volume ) test_vm_data_volume = Volume(test_vm_data_volume.__dict__) self._handle_custom_data_volume_with_started_vm(test_vm_data_volume) def test_13_resize_volume_on_stopped_vm(self): if TestData.hypervisor_type != TestData.kvm: return test_virtual_machine = VirtualMachine.create( self.apiClient, self.testdata[TestData.virtualMachine2], accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=self.template.id, domainid=self.domain.id, startvm=False ) self.cleanup.append(test_virtual_machine) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=test_virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) test_vm_root_volume = Volume(list_volumes_response[0].__dict__) err_msg = "Check if SF volume was created in correct account" try: # This should fail because there should not be an equivalent SolidFire volume in the cluster yet. self._verify_volume(test_vm_root_volume) raise Exception("The volume verification did not fail (as expected).") except Exception as e: if err_msg not in str(e): raise # Starting the up the should create its root disk on the SolidFire cluster. test_virtual_machine.start(self.apiClient) test_virtual_machine.stop(self.apiClient) self._handle_root_volume_with_stopped_vm(test_vm_root_volume) volume_name = { TestData.diskName: "test-volume-a", } test_vm_data_volume = Volume.create( self.apiClient, volume_name, account=self.account.name, domainid=self.domain.id, zoneid=self.zone.id, diskofferingid=self.disk_offering.id ) self.cleanup.append(test_vm_data_volume) test_vm_data_volume = test_virtual_machine.attach_volume( self.apiClient, test_vm_data_volume ) test_vm_data_volume = Volume(test_vm_data_volume.__dict__) self._handle_data_volume_with_stopped_vm(test_vm_data_volume) custom_disk_offering = { "name": "SF_DO_A", "displaytext": "SF_DO_A (Custom)", "customized": True, "customizediops": True, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } custom_disk_offering = DiskOffering.create( self.apiClient, custom_disk_offering, custom=True ) self.cleanup.append(custom_disk_offering) services = { TestData.diskName: "test-volume-custom-a", "customdisksize": 100, "customminiops": 1000, "custommaxiops": 2000, "zoneid": self.testdata[TestData.zoneId] } test_vm_data_volume = Volume.create_custom_disk( self.apiClient, services, account=self.account.name, domainid=self.domain.id, diskofferingid=custom_disk_offering.id ) self.cleanup.append(test_vm_data_volume) test_vm_data_volume = test_virtual_machine.attach_volume( self.apiClient, test_vm_data_volume ) test_vm_data_volume = Volume(test_vm_data_volume.__dict__) self._handle_custom_data_volume_with_stopped_vm(test_vm_data_volume) test_vm_data_volume = test_virtual_machine.detach_volume( self.apiClient, test_vm_data_volume ) test_vm_data_volume = Volume(test_vm_data_volume.__dict__) self._handle_custom_data_volume_with_stopped_vm(test_vm_data_volume) def _handle_root_volume_with_started_vm(self, volume): self._verify_volume(volume) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_size = volume_size_in_GB + 10 new_min_iops = volume.miniops + 100 new_max_iops = volume.maxiops + 200 sf_volume_size = self._get_sf_volume(volume.name).total_size try: # Try to change the size and IOPS of a volume attached to a running VM (should fail). volume.resize(self.apiClient, size=new_size, miniops=new_min_iops, maxiops=new_max_iops) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._this_kind_of_disk_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) try: # Try to change the size of a volume attached to a running VM (should fail). volume.resize(self.apiClient, size=new_size) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._this_kind_of_disk_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_A", "displaytext": "SF_DO_A (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": new_size, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) try: # Try to change the size and IOPS of a volume attached to a running VM (should fail). volume.resize(self.apiClient, diskofferingid=disk_offering.id) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._only_data_volumes_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_B", "displaytext": "SF_DO_B (Min IOPS = " + str(volume.miniops) + "; Max IOPS = " + str(volume.maxiops) + ")", "disksize": new_size, "customizediops": False, "miniops": volume.miniops, "maxiops": volume.maxiops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) try: # Try to change the size of a volume attached to a running VM (should fail). volume.resize(self.apiClient, diskofferingid=disk_offering.id) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._only_data_volumes_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_C", "displaytext": "SF_DO_C (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": volume_size_in_GB, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) volume.resize(self.apiClient, diskofferingid=disk_offering.id) disk_offering.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) new_min_iops = new_min_iops + 10 new_max_iops = new_max_iops + 20 volume.resize(self.apiClient, miniops=new_min_iops, maxiops=new_max_iops) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) def _handle_root_volume_with_stopped_vm(self, volume): self._verify_volume(volume) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_size = volume_size_in_GB + 10 new_min_iops = volume.miniops + 100 new_max_iops = volume.maxiops + 200 volume.resize(self.apiClient, size=new_size, miniops=new_min_iops, maxiops=new_max_iops) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) sf_volume_size = self._get_sf_volume(volume.name).total_size self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) new_size = new_size + 10 volume.resize(self.apiClient, size=new_size) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) sf_volume_size = self._get_sf_volume(volume.name).total_size self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) new_min_iops = new_min_iops + 100 new_max_iops = new_max_iops + 200 volume.resize(self.apiClient, miniops=new_min_iops, maxiops=new_max_iops) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) new_size = new_size + 10 new_min_iops = new_min_iops + 100 new_max_iops = new_max_iops + 200 disk_offering = { "name": "SF_DO_A", "displaytext": "SF_DO_A (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": new_size, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) try: # Try to change the size and IOPS of a volume attached to a stopped VM (should fail). volume.resize(self.apiClient, diskofferingid=disk_offering.id) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._only_data_volumes_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_B", "displaytext": "SF_DO_B (Min IOPS = " + str(volume.miniops) + "; Max IOPS = " + str(volume.maxiops) + ")", "disksize": new_size, "customizediops": False, "miniops": volume.miniops, "maxiops": volume.maxiops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) try: # Try to change the size of a volume attached to a stopped VM (should fail). volume.resize(self.apiClient, diskofferingid=disk_offering.id) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._only_data_volumes_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) disk_offering = { "name": "SF_DO_C", "displaytext": "SF_DO_C (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": volume_size_in_GB, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) volume.resize(self.apiClient, diskofferingid=disk_offering.id) disk_offering.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) def _handle_data_volume_with_started_vm(self, volume): self._verify_volume(volume) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_size = volume_size_in_GB + 10 new_min_iops = volume.miniops + 100 new_max_iops = volume.maxiops + 200 sf_volume_size = self._get_sf_volume(volume.name).total_size try: # Try to change the size and IOPS of a volume attached to a running VM (should fail). volume.resize(self.apiClient, size=new_size, miniops=new_min_iops, maxiops=new_max_iops) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._to_change_volume_size_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) try: # Try to change the size of a volume attached to a running VM (should fail). volume.resize(self.apiClient, size=new_size) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._to_change_volume_size_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_A", "displaytext": "SF_DO_A (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": new_size, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) try: # Try to change the size and IOPS of a volume attached to a running VM (should fail). volume.resize(self.apiClient, diskofferingid=disk_offering.id) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._this_kind_of_disk_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_B", "displaytext": "SF_DO_B (Min IOPS = " + str(volume.miniops) + "; Max IOPS = " + str(volume.maxiops) + ")", "disksize": new_size, "customizediops": False, "miniops": volume.miniops, "maxiops": volume.maxiops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) try: # Try to change the size of a volume attached to a running VM (should fail). volume.resize(self.apiClient, diskofferingid=disk_offering.id) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._this_kind_of_disk_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) try: # Try to change the IOPS of a volume attached to a running VM (should fail). volume.resize(self.apiClient, miniops=new_min_iops, maxiops=new_max_iops) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._min_iops_err_msg not in str(e): raise disk_offering.delete(self.apiClient) self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_C", "displaytext": "SF_DO_C (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": volume_size_in_GB, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) volume.resize(self.apiClient, diskofferingid=disk_offering.id) disk_offering.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) def _handle_data_volume_with_stopped_vm(self, volume): self._verify_volume(volume) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_size = volume_size_in_GB + 10 new_min_iops = volume.miniops + 100 new_max_iops = volume.maxiops + 200 sf_volume_size = self._get_sf_volume(volume.name).total_size try: # Try to change the size and IOPS of a volume attached to a stopped VM (should fail). volume.resize(self.apiClient, size=new_size, miniops=new_min_iops, maxiops=new_max_iops) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._to_change_volume_size_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) try: # Try to change the size of a volume attached to a stopped VM (should fail). volume.resize(self.apiClient, size=new_size) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._to_change_volume_size_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) try: # Try to change the IOPS of a volume attached to a stopped VM (should fail). volume.resize(self.apiClient, miniops=new_min_iops, maxiops=new_max_iops) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._min_iops_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) disk_offering = { "name": "SF_DO_A", "displaytext": "SF_DO_A (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": new_size, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) volume.resize(self.apiClient, diskofferingid=disk_offering.id) disk_offering.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) sf_volume_size = self._get_sf_volume(volume.name).total_size self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) new_size = new_size + 10 disk_offering = { "name": "SF_DO_B", "displaytext": "SF_DO_B (Min IOPS = " + str(volume.miniops) + "; Max IOPS = " + str(volume.maxiops) + ")", "disksize": new_size, "customizediops": False, "miniops": volume.miniops, "maxiops": volume.maxiops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) volume.resize(self.apiClient, diskofferingid=disk_offering.id) disk_offering.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) sf_volume_size = self._get_sf_volume(volume.name).total_size self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_min_iops = new_min_iops + 100 new_max_iops = new_max_iops + 200 disk_offering = { "name": "SF_DO_C", "displaytext": "SF_DO_C (Min IOPS = " + str(new_min_iops) + "; Max IOPS = " + str(new_max_iops) + ")", "disksize": volume_size_in_GB, "customizediops": False, "miniops": new_min_iops, "maxiops": new_max_iops, "hypervisorsnapshotreserve": 200, TestData.tags: TestData.storageTag, "storagetype": "shared" } disk_offering = DiskOffering.create( self.apiClient, disk_offering ) volume.resize(self.apiClient, diskofferingid=disk_offering.id) disk_offering.delete(self.apiClient) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) def _handle_custom_data_volume_with_started_vm(self, volume): self._verify_volume(volume) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_size = volume_size_in_GB + 10 new_min_iops = volume.miniops + 100 new_max_iops = volume.maxiops + 200 sf_volume_size = self._get_sf_volume(volume.name).total_size try: # Try to change the size and IOPS of a volume attached to a running VM (should fail). volume.resize(self.apiClient, size=new_size, miniops=new_min_iops, maxiops=new_max_iops) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._this_kind_of_disk_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) try: # Try to change the size of a volume attached to a running VM (should fail). volume.resize(self.apiClient, size=new_size) raise Exception(TestVolumes._volume_resize_did_not_fail_err_msg) except Exception as e: if TestVolumes._this_kind_of_disk_err_msg not in str(e): raise self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) volume.resize(self.apiClient, miniops=new_min_iops, maxiops=new_max_iops) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) def _handle_custom_data_volume_with_stopped_vm(self, volume): self._verify_volume(volume) volume_size_in_GB = volume.size / TestData.one_GB_in_bytes self.assertTrue( type(volume_size_in_GB) == int, TestVolumes._volume_size_not_an_int ) new_size = volume_size_in_GB + 10 new_min_iops = volume.miniops + 100 new_max_iops = volume.maxiops + 200 volume.resize(self.apiClient, size=new_size, miniops=new_min_iops, maxiops=new_max_iops) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) sf_volume_size = self._get_sf_volume(volume.name).total_size self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) new_size = new_size + 10 volume.resize(self.apiClient, size=new_size) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) sf_volume_size = self._get_sf_volume(volume.name).total_size self._verify_volume(volume, volume.miniops, volume.maxiops, sf_volume_size) new_min_iops = volume.miniops + 10 new_max_iops = volume.maxiops + 20 volume.resize(self.apiClient, miniops=new_min_iops, maxiops=new_max_iops) list_volumes_response = list_volumes( self.apiClient, id=volume.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) volume = Volume(list_volumes_response[0].__dict__) self._verify_volume(volume, new_min_iops, new_max_iops, sf_volume_size) def _get_sf_volume(self, volume_name): sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, "The SolidFire account ID should be a non-zero integer.") sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) self.assertNotEqual( len(sf_volumes), 0, "The length of the response for the SolidFire-volume query should not be zero." ) return sf_util.check_and_get_sf_volume(sf_volumes, volume_name, self) def _verify_volume(self, cs_volume, expected_min_iops=None, expected_max_iops=None, expected_size=None): sf_volume = self._get_sf_volume(cs_volume.name) sf_volume_size = sf_util.get_volume_size_with_hsr(self.cs_api, cs_volume, self) sf_util.check_size_and_iops(sf_volume, cs_volume, sf_volume_size, self) if expected_min_iops is not None: self.assertEqual( cs_volume.miniops, expected_min_iops, "Unexpected Min IOPS value (CloudStack volume has " + str(cs_volume.miniops) + "; expected " + str(expected_min_iops) + ")" ) if expected_max_iops is not None: self.assertEqual( cs_volume.maxiops, expected_max_iops, "Unexpected Max IOPS value (CloudStack volume has " + str(cs_volume.maxiops) + "; expected " + str(expected_max_iops) + ")" ) if expected_size is not None: self.assertEqual( sf_volume_size, expected_size, "Unexpected size value (CloudStack volume (with HSR) has " + str(sf_volume_size) + "; expected " + str(expected_size) + ")" ) def _create_vm_using_template_and_destroy_vm(self, template): vm_name = "VM-%d" % random.randint(0, 100) virtual_machine_dict = {"name": vm_name, "displayname": vm_name} virtual_machine = VirtualMachine.create( self.apiClient, virtual_machine_dict, accountid=self.account.name, zoneid=self.zone.id, serviceofferingid=self.compute_offering.id, templateid=template.id, domainid=self.domain.id, startvm=True ) list_volumes_response = list_volumes( self.apiClient, virtualmachineid=virtual_machine.id, listall=True ) sf_util.check_list(list_volumes_response, 1, self, TestVolumes._should_only_be_one_volume_in_list_err_msg) vm_root_volume = list_volumes_response[0] vm_root_volume_name = vm_root_volume.name sf_account_id = sf_util.get_sf_account_id(self.cs_api, self.account.id, self.primary_storage.id, self, TestVolumes._sf_account_id_should_be_non_zero_int_err_msg) # Get volume information from SolidFire cluster sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) sf_util.get_sf_volume_by_name(self, sf_volumes, vm_root_volume_name) virtual_machine.delete(self.apiClient, True) def _verify_hsr(self, cs_volume_size_in_gb, hsr, sf_volume_size_in_bytes): cs_volume_size_including_hsr_in_bytes = self._get_cs_volume_size_including_hsr_in_bytes(cs_volume_size_in_gb, hsr) self.assertTrue( cs_volume_size_including_hsr_in_bytes == sf_volume_size_in_bytes, "HSR does not add up correctly." ) def _get_cs_volume_size_including_hsr_in_bytes(self, cs_volume_size_in_gb, hsr): if TestData.hypervisor_type == TestData.kvm: return self._get_bytes_from_gb(cs_volume_size_in_gb) lowest_hsr = 10 if hsr < lowest_hsr: hsr = lowest_hsr return self._get_bytes_from_gb(cs_volume_size_in_gb + (cs_volume_size_in_gb * (hsr / 100))) def _get_bytes_from_gb(self, number_in_gb): return number_in_gb * 1024 * 1024 * 1024 def _get_vm(self, vm_id): list_vms_response = list_virtual_machines(self.apiClient, id=vm_id) sf_util.check_list(list_vms_response, 1, self, TestVolumes._should_only_be_one_vm_in_list_err_msg) return list_vms_response[0] def _check_xen_sr(self, xen_sr_name, should_exist=True): sf_util.check_xen_sr(xen_sr_name, self.xen_session, self, should_exist) def _get_active_sf_volumes(self, sf_account_id=None): sf_volumes = sf_util.get_active_sf_volumes(self.sfe, sf_account_id) self.assertNotEqual( len(sf_volumes), 0, TestVolumes._volume_response_should_not_be_zero_err_msg ) return sf_volumes def _get_template_cache_name(self): if TestData.hypervisor_type == TestData.kvm: return TestData.templateCacheNameKvm elif TestData.hypervisor_type == TestData.xenServer: return TestData.templateCacheNameXenServer self.assert_(False, "Invalid hypervisor type") def _get_modified_iscsi_name(self, sf_iscsi_name): sf_iscsi_name = sf_iscsi_name.replace("/", "") return sf_iscsi_name[:-1] def _check_host_side(self, sf_iscsi_name, vm_hostid=None, should_exist=True): if TestData.hypervisor_type == TestData.kvm: self._check_kvm_host_side(self._get_modified_iscsi_name(sf_iscsi_name), vm_hostid, should_exist) elif TestData.hypervisor_type == TestData.xenServer: self._check_xen_sr(sf_iscsi_name, should_exist) def _check_kvm_host_side(self, sf_iscsi_name, vm_hostid, should_exist=True): if vm_hostid is None: list_hosts_response = list_hosts( self.apiClient, type="Routing" ) else: list_hosts_response = list_hosts( self.apiClient, id=vm_hostid ) sf_util.check_list(list_hosts_response, 1, self, TestVolumes._should_only_be_one_host_in_list_err_msg) kvm_login = self.testdata[TestData.kvm] for cs_host in list_hosts_response: ssh_connection = sf_util.get_ssh_connection(cs_host.ipaddress, kvm_login[TestData.username], kvm_login[TestData.password]) stdout = ssh_connection.exec_command("ls /dev/disk/by-path | grep " + sf_iscsi_name)[1] result = stdout.read() ssh_connection.close() if should_exist: self.assertFalse(result is None, "Unable to locate 'by-path' field on the KVM host (None)") self.assertFalse(len(result.strip()) <= len(sf_iscsi_name), "Unable to locate the 'by-path' field on the KVM host (Zero-length string)") else: self.assertTrue(result is None or len(result.strip()) == 0, "Found the 'by-path' field on the KVM host, but did not expect to") @classmethod def _start_vm(cls, vm): vm_for_check = list_virtual_machines( cls.apiClient, id=vm.id )[0] if vm_for_check.state == VirtualMachine.STOPPED: vm.start(cls.apiClient) # Libvirt appears to have an issue detaching a volume from a VM while the VM is booting up. # The XML sent to update the VM seems correct, but it doesn't appear to update the XML that describes the VM. # For KVM, just give it 90 seconds to boot up. if TestData.hypervisor_type == TestData.kvm: time.sleep(90) @classmethod def _reboot_vm(cls, vm): vm.reboot(cls.apiClient) # Libvirt appears to have an issue detaching a volume from a VM while the VM is booting up. # The XML sent to update the VM seems correct, but it doesn't appear to update the XML that describes the VM. # For KVM, just give it 90 seconds to boot up. if TestData.hypervisor_type == TestData.kvm: time.sleep(90) @classmethod def _handle_supports_cloning(cls): if TestData.hypervisor_type == TestData.kvm: cls._supports_cloning = True elif TestData.hypervisor_type == TestData.xenServer: # For XenServer, it is OK to set this to True or False depending on what you'd like tested cls._supports_cloning = True sf_util.set_supports_resign(cls._supports_cloning, cls.dbConnection) @classmethod def _connect_to_hypervisor(cls): if TestData.hypervisor_type == TestData.kvm: pass elif TestData.hypervisor_type == TestData.xenServer: host_ip = "https://" + \ list_hosts(cls.apiClient, clusterid=cls.testdata[TestData.clusterId], name=TestData.xen_server_hostname)[0].ipaddress cls.xen_session = XenAPI.Session(host_ip) xen_server = cls.testdata[TestData.xenServer] cls.xen_session.xenapi.login_with_password(xen_server[TestData.username], xen_server[TestData.password])

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_net/__init__.py

devsetup/devsetup_framework

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Python

jionlp/algorithm/__init__.py

wzf9/JioNLP

63ec32d6c409849d38f275a513b1c02493d85f86

[ "Apache-2.0" ]

1

2020-06-27T02:58:18.000Z

jionlp/algorithm/__init__.py

wzf9/JioNLP

63ec32d6c409849d38f275a513b1c02493d85f86

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jionlp/algorithm/__init__.py

wzf9/JioNLP

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sdk/python/pulumi_aws_native/iot/__init__.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

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sdk/python/pulumi_aws_native/iot/__init__.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

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sdk/python/pulumi_aws_native/iot/__init__.py

pulumi/pulumi-aws-native

1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3

[ "Apache-2.0" ]

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2021-11-10T19:42:01.000Z

2022-02-05T10:15:49.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from .. import _utilities import typing # Export this package's modules as members: from ._enums import * from .account_audit_configuration import * from .authorizer import * from .certificate import * from .custom_metric import * from .dimension import * from .domain_configuration import * from .fleet_metric import * from .get_account_audit_configuration import * from .get_authorizer import * from .get_certificate import * from .get_custom_metric import * from .get_dimension import * from .get_domain_configuration import * from .get_fleet_metric import * from .get_job_template import * from .get_logging import * from .get_mitigation_action import * from .get_policy import * from .get_policy_principal_attachment import * from .get_provisioning_template import * from .get_resource_specific_logging import * from .get_scheduled_audit import * from .get_security_profile import * from .get_thing import * from .get_thing_principal_attachment import * from .get_topic_rule import * from .get_topic_rule_destination import * from .job_template import * from .logging import * from .mitigation_action import * from .policy import * from .policy_principal_attachment import * from .provisioning_template import * from .resource_specific_logging import * from .scheduled_audit import * from .security_profile import * from .thing import * from .thing_principal_attachment import * from .topic_rule import * from .topic_rule_destination import * from ._inputs import * from . import outputs

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47,462

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Python

rmgpy/rmg/output.py

faribas/RMG-Py

6149e29b642bf8da9537e2db98f15121f0e040c7

[ "MIT" ]

1

2019-10-16T15:03:45.000Z

rmgpy/rmg/output.py

faribas/RMG-Py

6149e29b642bf8da9537e2db98f15121f0e040c7

[ "MIT" ]

null

rmgpy/rmg/output.py

faribas/RMG-Py

6149e29b642bf8da9537e2db98f15121f0e040c7

[ "MIT" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- ################################################################################ # # RMG - Reaction Mechanism Generator # # Copyright (c) 2002-2010 Prof. William H. Green (whgreen@mit.edu) and the # RMG Team (rmg_dev@mit.edu) # # 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. # ################################################################################ """ This module contains functionality for saving the output of RMG jobs to output files. """ import os.path import logging import re ################################################################################ class OutputError(Exception): """ This exception is raised whenever an error occurs while saving output information. Pass a string describing the circumstances of the exceptional behavior. """ pass ################################################################################ def saveOutputHTML(path, reactionModel, partCoreEdge='core'): """ Save the current set of species and reactions of `reactionModel` to an HTML file `path` on disk. As part of this process, drawings of all species are created in the species folder (if they don't already exist) using the :mod:`rmgpy.molecule.draw` module. The :mod:`jinja` package is used to generate the HTML; if this package is not found, no HTML will be generated (but the program will carry on). """ from model import PDepReaction from rmgpy.molecule.draw import MoleculeDrawer from rmgpy.chemkin import getSpeciesIdentifier try: import jinja2 except ImportError: logging.warning("jinja2 package not found; HTML output will not be saved.") return path = os.path.abspath(path) dirname = os.path.dirname(path) # Prepare parameters to pass to jinja template title = 'RMG Output' if partCoreEdge == 'core': species = reactionModel.core.species[:] + reactionModel.outputSpeciesList if not os.path.isdir(os.path.join(dirname,'species')): os.makedirs(os.path.join(dirname,'species')) elif partCoreEdge == 'edge': species = reactionModel.edge.species[:] + reactionModel.outputSpeciesList if not os.path.isdir(os.path.join(dirname,'species_edge')): os.makedirs(os.path.join(dirname,'species_edge')) re_index_search = re.compile(r'$(\d+)$$').search for spec in species: # if the species dictionary came from an RMG-Java job, make them prettier # We use the presence of a trailing index on the label to discern this # (A single open parenthesis is not enough (e.g. when using SMILES strings as labels!) match = re_index_search(spec.label) if match: spec.index = int(match.group(0)[1:-1]) spec.label = spec.label[0:match.start()] # Draw molecules if necessary if partCoreEdge == 'core': fstr = os.path.join(dirname, 'species', '{0}.png'.format(spec)) elif partCoreEdge == 'edge': fstr = os.path.join(dirname, 'species_edge', '{0}.png'.format(spec)) if not os.path.exists(fstr): try: MoleculeDrawer().draw(spec.molecule[0], 'png', fstr) except IndexError: raise OutputError("{0} species could not be drawn because it did not contain a molecular structure. Please recheck your files.".format(getSpeciesIdentifier(spec))) # We want to keep species sorted in the original order in which they were added to the RMG core. # Rather than ordered by index # species.sort(key=lambda x: x.index) if partCoreEdge == 'core': reactions = [rxn for rxn in reactionModel.core.reactions ] + reactionModel.outputReactionList elif partCoreEdge == 'edge': reactions = [rxn for rxn in reactionModel.edge.reactions ] + reactionModel.outputReactionList # We want to keep reactions sorted in original order in which they were added to core # rather than ordered by index #reactions.sort(key=lambda x: x.index) familyCount = {} for rxn in reactions: if isinstance(rxn, PDepReaction): family = "PDepNetwork" else: family = rxn.getSource().label if family in familyCount: familyCount[family] += 1 else: familyCount[family] = 1 families = familyCount.keys() families.sort() ## jinja2 filters etc. to_remove_from_css_names = re.compile('[/.\-+,]') def csssafe(input): "Replace unsafe CSS class name characters with an underscore." return to_remove_from_css_names.sub('_',input) environment = jinja2.Environment() environment.filters['csssafe'] = csssafe # Make HTML file if partCoreEdge == 'core': template = environment.from_string( """<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html;charset=utf-8" > <title>{{ title }}</title> <style type="text/css"> body { font-family: sans-serif; } a { color: #993333; text-decoration: none; } a:visited { color: #993333; } a:hover { text-decoration: underline; } table.speciesList, table.reactionList { width: 100%; border-collapse: collapse; } table.speciesList th, table.reactionList th { text-align: left; } tr.reaction td { border-top: 1px solid #808080; } td.reactants { text-align: right; } td.products { text-align: left; } td.reactionArrow { text-align: center; font-size: 16px; } td.species img, td.reactants img, td.products img { vertical-align: middle; } tr.comment { font-size: small; } tr.kinetics { font-size: small; } .KineticsData { # border: 1px solid gray; } .KineticsData th { width: 15em; word-wrap: none; } .KineticsData td { width: 3em; } .chemkin, .KineticsData_repr { white-space: pre-wrap; font-size: x-small; font-family: "Andale Mono", monospace; } .hide_comment .comment{ display: none !important; } .hide_kinetics .kinetics{ display: none !important; } .hide_chemkin .chemkin{ display: none !important; } </style> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.4.1/jquery.min.js"></script> <script type="text/javascript" src="../../../external/jquery.min.js"></script> <script type="text/javascript"> function updateFamily(family) { if (family.checked) { $("."+family.value).show(); } else { $("."+family.value).hide(); } } function updateDetails(type) { if (type.checked) { $(".reactionList").removeClass("hide_"+type.value); } else { $(".reactionList").addClass("hide_"+type.value); } } function checkAllFamilies() { $("#familySelector").find("[name='family']").each(function() { this.checked = true; updateFamily(this); }); return false; } function uncheckAllFamilies() { $("#familySelector").find("[name='family']").each(function() { this.checked = false; updateFamily(this); }); return false; } function checkAllDetails() { $("#familySelector").find("[name='detail']").each(function() { this.checked = true; updateDetails(this); }); return false; } function uncheckAllDetails() { $("#familySelector").find("[name='detail']").each(function() { this.checked = false; updateDetails(this); }); return false; } $(document).ready(function() { checkAllFamilies(); uncheckAllDetails(); }); </script> </head> <body> <h1>{{ title }}</h1> <h2>Species ({{ species|length }})</h2> <table class="speciesList"> <tr><th>Index</th><th>Structure</th><th>Label</th><th>Mol. Wt. (g/mol)</th></tr> {% for spec in species %} <tr class="species"> <td class="index"> {{ spec.index }}.</td> <td class="structure"><a href={{ spec.molecule[0].getURL() }}><img src="species/{{ spec|replace('#','%23') }}.png" alt="{{ spec }}" title="{{ spec }}"></a></td> <td class="label">{{ spec.label }}</td> <td>{{ "%.2f"|format(spec.molecule[0].getMolecularWeight() * 1000) }}</td> </tr> {% if spec.thermo %} <tr> <td> <table align="center"> <tr> <th>H298</th> <th>S298</th> <th>Cp300</th> <th>Cp500</th> <th>Cp1000</th> <th>Cp1500</th> </tr> <tr> <td> {% if spec.thermo.Tmin.value_si <= 298 %} {{ "%.2f"|format(spec.thermo.getEnthalpy(298) / 4184) }} {% endif %} </td> <td>{% if spec.thermo.Tmin.value_si <= 298 %} {{ "%.2f"|format(spec.thermo.getEntropy(298) / 4.184) }} {% endif %}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(300) / 4.184) }}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(500) / 4.184) }}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(1000) / 4.184) }}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(1500) / 4.184) }}</td> </tr> </table> </td></tr> {% endif %} {% endfor %} </table> <h2>Reactions ({{ reactions|length }})</h2> <form id='familySelector' action=""> <h4>Reaction families:</h4> {% for family in families %} <input type="checkbox" id="{{ family|csssafe }}" name="family" value="{{ family|csssafe }}" checked="checked" onclick="updateFamily(this);"><label for="{{ family|csssafe }}">{{ family }} ({{ familyCount[family] }} rxn{{ 's' if familyCount[family] != 1 }})</label><br> {% endfor %} <a href="javascript:checkAllFamilies();" onclick="checkAllFamilies()">check all</a>     <a href="javascript:uncheckAllFamilies();" onclick="uncheckAllFamilies();">uncheck all</a><br> <h4>Reaction Details:</h4> <input type="checkbox" id="kinetics" name="detail" value="kinetics" onclick="updateDetails(this);"><label for="kinetics">Kinetics</label><br> <input type="checkbox" id="comment" name="detail" value="comment" onclick="updateDetails(this);"><label for="comment">Comments</label><br> <input type="checkbox" id="chemkin" name="detail" value="chemkin" onclick="updateDetails(this);"><label for="chemkin">Chemkin strings</label><br> <a href="javascript:checkAllDetails();" onclick="checkAllDetails()">check all</a>     <a href="javascript:uncheckAllDetails();" onclick="uncheckAllDetails();">uncheck all</a> </form> <h4>Reaction List:</h4> <table class="reactionList hide_comment hide_kinetics hide_chemkin"> <tr><th>Index</th><th colspan="3" style="text-align: center;">Reaction</th><th>Family</th></tr> {% for rxn in reactions %} <tr class="reaction {{ rxn.getSource().label|csssafe }}"> <td class="index"><a href="{{ rxn.getURL() }}" title="Search on RMG website" class="searchlink">{{ rxn.index }}.</a></td> <td class="reactants">{% for reactant in rxn.reactants %}<a href="{{ reactant.molecule[0].getURL() }}"><img src="species/{{ reactant|replace('#','%23') }}.png" alt="{{ reactant }}" title="{{ reactant }}, MW = {{ "%.2f g/mol"|format(reactant.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="reactionArrow">{% if rxn.reversible %}⇔{% else %}→{% endif %}</td> <td class="products">{% for product in rxn.products %}<a href="{{ product.molecule[0].getURL() }}"><img src="species/{{ product|replace('#','%23') }}.png" alt="{{ product }}" title="{{ product }}, MW = {{ "%.2f g/mol"|format(product.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="family">{{ rxn.getSource().label }}</td> </tr> <tr class="kinetics {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.toHTML() }}</td> </tr> <tr class="chemkin {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.toChemkin(species) }}</td> </tr> <tr class="comment {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.comment }}</td> </tr> {% endfor %} </table> </body> </html> """) elif partCoreEdge == 'edge': template = environment.from_string( """<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html;charset=utf-8" > <title>{{ title }}</title> <style type="text/css"> body { font-family: sans-serif; } a { color: #993333; text-decoration: none; } a:visited { color: #993333; } a:hover { text-decoration: underline; } table.speciesList, table.reactionList { width: 100%; border-collapse: collapse; } table.speciesList th, table.reactionList th { text-align: left; } tr.reaction td { border-top: 1px solid #808080; } td.reactants { text-align: right; } td.products { text-align: left; } td.reactionArrow { text-align: center; font-size: 16px; } td.species img, td.reactants img, td.products img { vertical-align: middle; } tr.comment { font-size: small; } tr.kinetics { font-size: small; } .KineticsData { # border: 1px solid gray; } .KineticsData th { width: 15em; word-wrap: none; } .KineticsData td { width: 3em; } .chemkin, .KineticsData_repr { white-space: pre-wrap; font-size: x-small; font-family: "Andale Mono", monospace; } .hide_comment .comment{ display: none !important; } .hide_kinetics .kinetics{ display: none !important; } .hide_chemkin .chemkin{ display: none !important; } </style> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.4.1/jquery.min.js"></script> <script type="text/javascript" src="../../../external/jquery.min.js"></script> <script type="text/javascript"> function updateFamily(family) { if (family.checked) { $("."+family.value).show(); } else { $("."+family.value).hide(); } } function updateDetails(type) { if (type.checked) { $(".reactionList").removeClass("hide_"+type.value); } else { $(".reactionList").addClass("hide_"+type.value); } } function checkAllFamilies() { $("#familySelector").find("[name='family']").each(function() { this.checked = true; updateFamily(this); }); return false; } function uncheckAllFamilies() { $("#familySelector").find("[name='family']").each(function() { this.checked = false; updateFamily(this); }); return false; } function checkAllDetails() { $("#familySelector").find("[name='detail']").each(function() { this.checked = true; updateDetails(this); }); return false; } function uncheckAllDetails() { $("#familySelector").find("[name='detail']").each(function() { this.checked = false; updateDetails(this); }); return false; } $(document).ready(function() { checkAllFamilies(); uncheckAllDetails(); }); </script> </head> <body> <h1>{{ title }}</h1> <h2>Species ({{ species|length }})</h2> <table class="speciesList"> <tr><th>Index</th><th>Structure</th><th>Label</th><th>Mol. Wt. (g/mol)</th></tr> {% for spec in species %} <tr class="species"> <td class="index"> {{ spec.index }}.</td> <td class="structure"><a href={{ spec.molecule[0].getURL() }}><img src="species_edge/{{ spec|replace('#','%23') }}.png" alt="{{ spec }}" title="{{ spec }}"></a></td> <td class="label">{{ spec.label }}</td> <td>{{ "%.2f"|format(spec.molecule[0].getMolecularWeight() * 1000) }}</td> </tr> {% if spec.thermo %} <tr> <td> <table align="center"> <tr> <th>H298</th> <th>S298</th> <th>Cp300</th> <th>Cp500</th> <th>Cp1000</th> <th>Cp1500</th> </tr> <tr> <td> {% if spec.thermo.Tmin.value_si <= 298 %} {{ "%.2f"|format(spec.thermo.getEnthalpy(298) / 4184) }} {% endif %} </td> <td>{% if spec.thermo.Tmin.value_si <= 298 %} {{ "%.2f"|format(spec.thermo.getEntropy(298) / 4.184) }} {% endif %}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(300) / 4.184) }}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(500) / 4.184) }}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(1000) / 4.184) }}</td> <td>{{ "%.2f"|format(spec.thermo.getHeatCapacity(1500) / 4.184) }}</td> </tr> </table> </td></tr> {% endif %} {% endfor %} </table> <h2>Reactions ({{ reactions|length }})</h2> <form id='familySelector' action=""> <h4>Reaction families:</h4> {% for family in families %} <input type="checkbox" id="{{ family|csssafe }}" name="family" value="{{ family|csssafe }}" checked="checked" onclick="updateFamily(this);"><label for="{{ family|csssafe }}">{{ family }} ({{ familyCount[family] }} rxn{{ 's' if familyCount[family] != 1 }})</label><br> {% endfor %} <a href="javascript:checkAllFamilies();" onclick="checkAllFamilies()">check all</a>     <a href="javascript:uncheckAllFamilies();" onclick="uncheckAllFamilies();">uncheck all</a><br> <h4>Reaction Details:</h4> <input type="checkbox" id="kinetics" name="detail" value="kinetics" onclick="updateDetails(this);"><label for="kinetics">Kinetics</label><br> <input type="checkbox" id="comment" name="detail" value="comment" onclick="updateDetails(this);"><label for="comment">Comments</label><br> <input type="checkbox" id="chemkin" name="detail" value="chemkin" onclick="updateDetails(this);"><label for="chemkin">Chemkin strings</label><br> <a href="javascript:checkAllDetails();" onclick="checkAllDetails()">check all</a>     <a href="javascript:uncheckAllDetails();" onclick="uncheckAllDetails();">uncheck all</a> </form> <h4>Reaction List:</h4> <table class="reactionList hide_comment hide_kinetics hide_chemkin"> <tr><th>Index</th><th colspan="3" style="text-align: center;">Reaction</th><th>Family</th></tr> {% for rxn in reactions %} <tr class="reaction {{ rxn.getSource().label|csssafe }}"> <td class="index"><a href="{{ rxn.getURL() }}" title="Search on RMG website" class="searchlink">{{ rxn.index }}.</a></td> <td class="reactants">{% for reactant in rxn.reactants %}<a href="{{ reactant.molecule[0].getURL() }}"><img src="species_edge/{{ reactant|replace('#','%23') }}.png" alt="{{ reactant }}" title="{{ reactant }}, MW = {{ "%.2f g/mol"|format(reactant.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="reactionArrow">{% if rxn.reversible %}⇔{% else %}→{% endif %}</td> <td class="products">{% for product in rxn.products %}<a href="{{ product.molecule[0].getURL() }}"><img src="species_edge/{{ product|replace('#','%23') }}.png" alt="{{ product }}" title="{{ product }}, MW = {{ "%.2f g/mol"|format(product.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="family">{{ rxn.getSource().label }}</td> </tr> <tr class="kinetics {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.toHTML() }}</td> </tr> <tr class="chemkin {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.toChemkin(species) }}</td> </tr> <tr class="comment {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.comment }}</td> </tr> {% endfor %} </table> </body> </html> """) f = open(path, 'w') f.write(template.render(title=title, species=species, reactions=reactions, families=families, familyCount=familyCount)) f.close() def saveDiffHTML(path, commonSpeciesList, speciesList1, speciesList2, commonReactions, uniqueReactions1, uniqueReactions2): """ This function outputs the species and reactions on an HTML page for the comparison of two RMG models. """ from model import PDepReaction from rmgpy.kinetics import Arrhenius, MultiArrhenius, MultiPDepArrhenius from rmgpy.molecule.draw import MoleculeDrawer try: import jinja2 except ImportError: logging.warning("jinja package not found; HTML output will not be saved.") return path = os.path.abspath(path) dirname = os.path.dirname(path) # Prepare parameters to pass to jinja template title = 'RMG Model Comparison' speciesList = [spec1 for spec1, spec2 in commonSpeciesList] + [spec2 for spec1, spec2 in commonSpeciesList] + speciesList1 + speciesList2 re_index = re.compile(r'$(\d+)$$') if not os.path.isdir(os.path.join(dirname,'species1')): os.makedirs(os.path.join(dirname,'species1')) if not os.path.isdir(os.path.join(dirname,'species2')): os.makedirs(os.path.join(dirname,'species2')) for spec1, spec2 in commonSpeciesList: # if the species dictionary came from an RMG-Java job, make them prettier # We use the presence of a trailing index on the label to discern this # (A single open parenthesis is not enough (e.g. when using SMILES strings as labels!) match1 = re_index.search(spec1.label) if match1: spec1.index = int(match1.group(0)[1:-1]) spec1.label = spec1.label[0:match1.start()] match2 = re_index.search(spec2.label) if match2: spec2.index = int(match2.group(0)[1:-1]) spec2.label = spec2.label[0:match2.start()] # Draw molecules if necessary fstr = os.path.join(dirname, 'species1', '{0}.png'.format(spec1)) if not os.path.exists(fstr): try: MoleculeDrawer().draw(spec1.molecule[0], 'png', fstr) except IndexError: raise OutputError('{0} species could not be drawn because it did not contain a molecular structure. Please recheck your files.'.format(getSpeciesIdentifier(spec1))) fstr = os.path.join(dirname, 'species2', '{0}.png'.format(spec2)) if not os.path.exists(fstr): try: MoleculeDrawer().draw(spec2.molecule[0], 'png', fstr) except IndexError: raise OutputError('{0} species could not be drawn because it did not contain a molecular structure. Please recheck your files.'.format(getSpeciesIdentifier(spec2))) for spec in speciesList1: match = re_index.search(spec.label) if match: spec.index = int(match.group(0)[1:-1]) spec.label = spec.label[0:match.start()] # Draw molecules if necessary fstr = os.path.join(dirname, 'species1', '{0}.png'.format(spec)) if not os.path.exists(fstr): try: MoleculeDrawer().draw(spec.molecule[0], 'png', fstr) except IndexError: raise OutputError('{0} species could not be drawn because it did not contain a molecular structure. Please recheck your files.'.format(getSpeciesIdentifier(spec))) for spec in speciesList2: match = re_index.search(spec.label) if match: spec.index = int(match.group(0)[1:-1]) spec.label = spec.label[0:match.start()] # Draw molecules if necessary fstr = os.path.join(dirname, 'species2', '{0}.png'.format(spec)) if not os.path.exists(fstr): try: MoleculeDrawer().draw(spec.molecule[0], 'png', fstr) except IndexError: raise OutputError('{0} species could not be drawn because it did not contain a molecular structure. Please recheck your files.'.format(getSpeciesIdentifier(spec))) familyCount1 = {} familyCount2 = {} for rxn1, rxn2 in commonReactions: if isinstance(rxn2.kinetics, (MultiArrhenius,MultiPDepArrhenius)): rxn2.duplicate = True if isinstance(rxn1, PDepReaction): family = "PDepNetwork" else: family = rxn1.getSource().label if family in familyCount1: familyCount1[family] += 1 familyCount2[family] += 1 else: familyCount1[family] = 1 familyCount2[family] = 1 for rxn in uniqueReactions1: if isinstance(rxn, PDepReaction): family = "PDepNetwork" else: family = rxn.getSource().label if family in familyCount1: familyCount1[family] += 1 else: familyCount1[family] = 1 for rxn in uniqueReactions2: if isinstance(rxn, PDepReaction): family = "PDepNetwork" else: family = rxn.getSource().label if family in familyCount2: familyCount2[family] += 1 else: familyCount2[family] = 1 families1 = familyCount1.keys() families2 = familyCount2.keys() families1.sort() families2.sort() ## jinja2 filters etc. to_remove_from_css_names = re.compile('[/.\-+,]') def csssafe(input): "Replace unsafe CSS class name characters with an underscore." return to_remove_from_css_names.sub('_',input) environment = jinja2.Environment() environment.filters['csssafe'] = csssafe # Make HTML file template = environment.from_string( """<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html;charset=utf-8" > <title>{{ title }}</title> <style type="text/css"> body { font-family: sans-serif; } a { color: #993333; text-decoration: none; } a:visited { color: #993333; } a:hover { text-decoration: underline; } table.speciesList, table.reactionList { width: 100%; border-collapse: collapse; } table.speciesList th, table.reactionList th { text-align: left; } tr.reaction td { border-top: 1px solid #808080; } td.reactants { text-align: right; } td.products { text-align: left; } td.reactionArrow { text-align: center; font-size: 16px; } td.species img, td.reactants img, td.products img { vertical-align: middle; } tr.comment { font-size: small; } tr.kinetics { font-size: small; } .KineticsData { # border: 1px solid gray; } .KineticsData th { width: 15em; word-wrap: none; } .KineticsData td { width: 3em; } .chemkin, .KineticsData_repr { white-space: pre-wrap; font-size: x-small; font-family: "Andale Mono", monospace; } .hide_comment .comment{ display: none !important; } .hide_kinetics .kinetics{ display: none !important; } .hide_chemkin .chemkin{ display: none !important; } </style> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.4.1/jquery.min.js"></script> <script type="text/javascript" src="../../../external/jquery.min.js"></script> <script type="text/javascript"> function updateFamily(family) { if (family.checked) { $("."+family.value).show(); } else { $("."+family.value).hide(); } } function updateDetails(type) { if (type.checked) { $(".reactionList").removeClass("hide_"+type.value); } else { $(".reactionList").addClass("hide_"+type.value); } } function checkAllFamilies() { $("#familySelector").find("[name='family']").each(function() { this.checked = true; updateFamily(this); }); return false; } function uncheckAllFamilies() { $("#familySelector").find("[name='family']").each(function() { this.checked = false; updateFamily(this); }); return false; } function checkAllDetails() { $("#familySelector").find("[name='detail']").each(function() { this.checked = true; updateDetails(this); }); return false; } function uncheckAllDetails() { $("#familySelector").find("[name='detail']").each(function() { this.checked = false; updateDetails(this); }); return false; } $(document).ready(function() { checkAllFamilies(); uncheckAllDetails(); }); </script> </head> <body> <h1>{{ title }}</h1> <h2 align="center">Common Species ({{ commonSpecies|length }})</h2> <table width="100%"> {% for spec1, spec2 in commonSpecies %} <tr> <td width="100%" colspan="4"> <table align="center"> <tr class="species"> <td>{{ spec1.label }}</td> <td class="structure" align="center"><a href="{{spec1.molecule[0].getURL()}}"><img src="species1/{{ spec1|replace('#','%23') }}.png" alt="{{ spec1 }}" title="{{ spec1 }}"></a></td> <td>{{ "%.2f"|format(spec1.molecule[0].getMolecularWeight() * 1000) }}</td> </tr> </table> </td> </tr> {% if spec1.thermo and spec2.thermo %} {% if spec1.thermo.isIdenticalTo(spec2.thermo) %} <tr width=100%> <td colspan="4" valign="top" width=50%><div align="center"><font color="blue">IDENTICAL THERMO WAS FOUND FOR THIS SPECIES.</font></div> </tr> {% elif spec1.thermo.isSimilarTo(spec2.thermo) %} <tr width=100%> <td colspan="4" valign="top" width=50%><div align="center"><font color="green">SIMILAR THERMO WAS FOUND FOR THIS SPECIES.</font></div> </tr> {% else %} <tr width=100%> <td colspan="4" valign="top" width=50%><div align="center"><font color="red">DIFFERENT THERMO WAS FOUND FOR THIS SPECIES.</font></div> </tr> {% endif%} <tr> <td width="10%">{{ spec1.index }}. </td> <td width="40%"> <table width="100%"> <tr> <th>H300</th> <th>S300</th> <th>Cp300</th> <th>Cp500</th> <th>Cp1000</th> <th>Cp1500</th> </tr> <tr> <td>{% if spec1.thermo.Tmin.value_si <= 300 %} {{ "%.2f"|format(spec1.thermo.getEnthalpy(300) / 4184) }} {% endif %}</td> <td> {% if spec1.thermo.Tmin.value_si <= 300 %} {{ "%.2f"|format(spec1.thermo.getEntropy(300) / 4.184) }} {% endif %}</td> <td>{{ "%.2f"|format(spec1.thermo.getHeatCapacity(300) / 4.184) }}</td> <td>{{ "%.2f"|format(spec1.thermo.getHeatCapacity(500) / 4.184) }}</td> <td>{{ "%.2f"|format(spec1.thermo.getHeatCapacity(1000) / 4.184) }}</td> <td>{{ "%.2f"|format(spec1.thermo.getHeatCapacity(1500) / 4.184) }}</td> </tr> </table> </td> <td width="10%">{{ spec2.index }}.</td> <td width="40%"> <table width="100%"> <tr> <th>H300</th> <th>S300</th> <th>Cp300</th> <th>Cp500</th> <th>Cp1000</th> <th>Cp1500</th> </tr> <tr> <td>{% if spec2.thermo.Tmin.value_si <= 300 %} {{ "%.2f"|format(spec2.thermo.getEnthalpy(300) / 4184) }} {% endif %}</td> <td>{% if spec2.thermo.Tmin.value_si <= 300 %} {{ "%.2f"|format(spec2.thermo.getEntropy(300) / 4.184) }} {% endif %}</td> <td>{{ "%.2f"|format(spec2.thermo.getHeatCapacity(300) / 4.184) }}</td> <td>{{ "%.2f"|format(spec2.thermo.getHeatCapacity(500) / 4.184) }}</td> <td>{{ "%.2f"|format(spec2.thermo.getHeatCapacity(1000) / 4.184) }}</td> <td>{{ "%.2f"|format(spec2.thermo.getHeatCapacity(1500) / 4.184) }}</td> </tr> </table> </td> </tr> {% endif %} <tr> <td width="100%" colspan="4"><hr/></td> </tr> {% endfor %} </table> <table width=100%> <tr colspan="2"> <td width=50% valign="top"> <h2>Model 1: Unique Species ({{ speciesList1|length }})</h2> <table class="speciesList"> <tr><th>Index</th><th>Structure</th><th>Label</th><th>Mol. Wt. (g/mol)</th></tr> {% for spec in speciesList1 %} <tr class="species"> <td class="index"> {{ spec.index }}.</td> <td class="structure"><a href="{{ spec.molecule[0].getURL() }}"><img src="species1/{{ spec|replace('#','%23') }}.png" alt="{{ spec }}" title="{{ spec }}"></a></td> <td class="label">{{ spec.label }}</td> <td>{{ "%.2f"|format(spec.molecule[0].getMolecularWeight() * 1000) }}</td> </tr> {% endfor %} </table> </td> <td width=50% valign="top"> <h2>Model 2: Unique Species ({{ speciesList2|length }})</h2> <table class="speciesList"> <tr><th>Index</th><th>Structure</th><th>Label</th><th>Mol. Wt. (g/mol)</th></tr> {% for spec in speciesList2 %} <tr class="species"> <td class="index"> {{ spec.index }}.</td> <td class="structure"><a href="{{ spec.molecule[0].getURL() }}"><img src="species2/{{ spec|replace('#','%23') }}.png" alt="{{ spec }}" title="{{ spec }}"></a></td> <td class="label">{{ spec.label }}</td> <td>{{ "%.2f"|format(spec.molecule[0].getMolecularWeight() * 1000) }}</td> </tr> {% endfor %} </table> </td></tr> <tr colspan="2"> <td width=50% valign="top"> <h2>Model 1 Reactions ({{ commonReactions|length + uniqueReactions1|length}})</h2> <form id='familySelector' action=""> <h4>Reaction families:</h4> {% for family in families1 %} <input type="checkbox" id="{{ family|csssafe }}" name="family" value="{{ family|csssafe }}" checked="checked" onclick="updateFamily(this);"><label for="{{ family|csssafe }}">{{ family }} ({{ familyCount1[family] }} rxn{{ 's' if familyCount1[family] != 1 }})</label><br> {% endfor %} <a href="javascript:checkAllFamilies();" onclick="checkAllFamilies()">check all</a>     <a href="javascript:uncheckAllFamilies();" onclick="uncheckAllFamilies();">uncheck all</a><br> <h4>Reaction Details:</h4> <input type="checkbox" id="kinetics" name="detail" value="kinetics" onclick="updateDetails(this);"><label for="kinetics">Kinetics</label><br> <input type="checkbox" id="comment" name="detail" value="comment" onclick="updateDetails(this);"><label for="comment">Comments</label><br> <input type="checkbox" id="chemkin" name="detail" value="chemkin" onclick="updateDetails(this);"><label for="chemkin">Chemkin strings</label><br> <a href="javascript:checkAllDetails();" onclick="checkAllDetails()">check all</a>     <a href="javascript:uncheckAllDetails();" onclick="uncheckAllDetails();">uncheck all</a> </form> </td> <td width=50% valign="top"> <h2>Model 2 Reactions ({{ commonReactions|length +uniqueReactions2|length}})</h2> <form id='familySelector' action=""> <h4>Reaction families:</h4> {% for family in families2 %} <input type="checkbox" id="{{ family|csssafe }}" name="family" value="{{ family|csssafe }}" checked="checked" onclick="updateFamily(this);"><label for="{{ family|csssafe }}">{{ family }} ({{ familyCount2[family] }} rxn{{ 's' if familyCount2[family] != 1 }})</label><br> {% endfor %} <a href="javascript:checkAllFamilies();" onclick="checkAllFamilies()">check all</a>     <a href="javascript:uncheckAllFamilies();" onclick="uncheckAllFamilies();">uncheck all</a><br> <h4>Reaction Details:</h4> <input type="checkbox" id="kinetics" name="detail" value="kinetics" onclick="updateDetails(this);"><label for="kinetics">Kinetics</label><br> <input type="checkbox" id="comment" name="detail" value="comment" onclick="updateDetails(this);"><label for="comment">Comments</label><br> <input type="checkbox" id="chemkin" name="detail" value="chemkin" onclick="updateDetails(this);"><label for="chemkin">Chemkin strings</label><br> <a href="javascript:checkAllDetails();" onclick="checkAllDetails()">check all</a>     <a href="javascript:uncheckAllDetails();" onclick="uncheckAllDetails();">uncheck all</a> </form> </td> </tr> </table> <table width=100%> <tr><td width=100% align="center"> <h2>Common Reactions ({{ commonReactions|length}})</h2></td></tr> <tr colspan="1"><td width=100%> <table class="reactionList hide_comment hide_kinetics hide_chemkin" width=100% cellpadding="10"> <tr colspan="4" width=100%><th>Index.</th><th>Family</th><th>Index.</th><th>Family</th></tr> {% for rxn1, rxn2 in commonReactions %} <tr> <td width=100% colspan="4"><hr> <table align="center"> <tr> <td class="reactants" align="right">{% for reactant in rxn1.reactants %}<a href="{{reactant.molecule[0].getURL() }}"><img src="species1/{{ reactant|replace('#','%23') }}.png" alt="{{ reactant }}" title="{{ reactant }}, MW = {{ "%.2f"|format(reactant.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="reactionArrow" align="center">{% if rxn1.reversible %}⇔{% else %}→{% endif %}</td> <td class="products" align="left">{% for product in rxn1.products %}<a href="{{product.molecule[0].getURL()}}"><img src="species1/{{ product|replace('#','%23') }}.png" alt="{{ product }}" title="{{ product }}, MW = {{ "%.2f"|format(product.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> </tr> </table> </td> </tr> {% if rxn1.kinetics.isIdenticalTo(rxn2.kinetics) %} <tr width=100%> <td colspan="4" valign="top" width=50%><div align="center"><font color="blue">IDENTICAL KINETICS WERE FOUND FOR THIS REACTION.</font></div> </tr> {% elif rxn1.kinetics.isSimilarTo(rxn2.kinetics) %} <tr width=100%> <td colspan="4" valign="top" width=50%><div align="center"><font color="green">SIMILAR KINETICS WERE FOUND FOR THIS REACTION.</font></div> </tr> {% else %} <tr width=100%> <td colspan="4" valign="top" width=50%><div align="center"><font color="red">DIFFERENT KINETICS WERE FOUND FOR THIS REACTION.</font></div> </tr> {% endif%} <tr width=100%> <td class="index" width=10%><a href="{{ rxn1.getURL() }}" title="Search on RMG website" class="searchlink">{{ rxn1.index }}.</a></td> <td class="family" width=40%>{{ rxn1.getSource().label }}</td> <td class="index" width=10%><a href="{{ rxn2.getURL() }}" title="Search on RMG website" class="searchlink">{{ rxn2.index }}.</a></td> <td class="family" width=40%>{{ rxn2.getSource().label }}</td> </tr> <tr width=100%>{% if not rxn1.isIsomorphic(rxn2, eitherDirection=False) %} <td colspan="2" width=50%></td> <td colspan="2" width=50%>* Reaction was found in reverse {% if not rxn2.duplicate %} <P><b>Fitted Reverse Kinetics:</b> {% if not rxn2.kinetics.isPressureDependent() %} {{rxn2.generateReverseRateCoefficient().toHTML() }} {% else %} Pressure dependent {% endif %} {% endif %} <P><b>Original Kinetics:</b> {% endif %}</td> </tr> <tr width=100%> <td colspan="2" valign="top" width=50%> {{ rxn1.kinetics.toHTML() }}</td> <td colspan="2" valign="top" width=50%> {{ rxn2.kinetics.toHTML() }}</td> </tr> <tr width=100%> <td colspan="2" valign="top" width=50%><font size="1pt" face="courier">{{ rxn1.toChemkin(speciesList) }}</font></td> <td colspan="2" valign="top" width=50%><font size="1pt" face="courier">{{ rxn2.toChemkin(speciesList) }}</font></td> </tr> <tr width=100%> <td colspan="2" valign="top" width=50%><font size="1pt">{{ rxn1.kinetics.comment }}</font></td> <td colspan="2" valign="top" width=50%><font size="1pt">{{ rxn2.kinetics.comment }}</font></td> </tr> {% endfor %} </table> </td></tr></table> <table> <tr> <td width=50% valign="top"> <h2>Model 1: Unique Reactions ({{ uniqueReactions1|length}})</h2> <table class="reactionList hide_comment hide_kinetics hide_chemkin"> <tr><th>Index</th><th colspan="3" style="text-align: center;">Reaction</th><th>Family</th></tr> {% for rxn in uniqueReactions1 %} <tr class="reaction {{ rxn.getSource().label|csssafe }}"> <td class="index"><a href="{{ rxn.getURL() }}" title="Search on RMG website" class="searchlink">{{ rxn.index }}.</a></td> <td class="reactants">{% for reactant in rxn.reactants %}<a href="{{ reactant.molecule[0].getURL() }}"><img src="species1/{{ reactant|replace('#','%23') }}.png" alt="{{ reactant }}" title="{{ reactant }}, MW = {{ "%.2f"|format(reactant.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="reactionArrow">{% if rxn.reversible %}⇔{% else %}→{% endif %}</td> <td class="products">{% for product in rxn.products %}<a href="{{ product.molecule[0].getURL() }}"><img src="species1/{{ product|replace('#','%23') }}.png" alt="{{ product }}" title="{{ product }}, MW = {{ "%.2f"|format(product.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="family">{{ rxn.getSource().label }}</td> </tr> <tr class="kinetics {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.toHTML() }}</td> </tr> <tr class="chemkin {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.toChemkin(species) }}</td> </tr> <tr class="comment {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.comment }}</td> </tr> {% endfor %} </table> </td> <td width=50% valign="top"> <h2>Model 2: Unique Reactions ({{ uniqueReactions2|length}})</h2> <table class="reactionList hide_comment hide_kinetics hide_chemkin"> <tr><th>Index</th><th colspan="3" style="text-align: center;">Reaction</th><th>Family</th></tr> {% for rxn in uniqueReactions2 %} <tr class="reaction {{ rxn.getSource().label|csssafe }}"> <td class="index"><a href="{{ rxn.getURL() }}" title="Search on RMG website" class="searchlink">{{ rxn.index }}.</a></td> <td class="reactants">{% for reactant in rxn.reactants %}<a href="{{ reactant.molecule[0].getURL() }}"><img src="species2/{{ reactant|replace('#','%23') }}.png" alt="{{ reactant }}" title="{{ reactant }}, MW = {{ "%.2f"|format(reactant.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="reactionArrow">{% if rxn.reversible %}⇔{% else %}→{% endif %}</td> <td class="products">{% for product in rxn.products %}<a href="{{ product.molecule[0].getURL() }}"><img src="species2/{{ product|replace('#','%23') }}.png" alt="{{ product }}" title="{{ product }}, MW = {{ "%.2f"|format(product.molecule[0].getMolecularWeight() * 1000) }}"></a>{% if not loop.last %} + {% endif %}{% endfor %}</td> <td class="family">{{ rxn.getSource().label }}</td> </tr> <tr class="kinetics {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.toHTML() }}</td> </tr> <tr class="chemkin {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.toChemkin(species) }}</td> </tr> <tr class="comment {{ rxn.getSource().label|csssafe }}"> <td></td> <td colspan="4">{{ rxn.kinetics.comment }}</td> </tr> {% endfor %} </table> </td> </table> </body> </html> """) f = open(path, 'w') f.write(template.render(title=title, commonSpecies=commonSpeciesList, speciesList1=speciesList1, speciesList2 = speciesList2, commonReactions=commonReactions, uniqueReactions1=uniqueReactions1, uniqueReactions2=uniqueReactions2, families1=families1, families2=families2, familyCount1=familyCount1,familyCount2=familyCount2, speciesList=speciesList)) f.close()

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7371d21f48d1725ef195513f68a4b8320495fa73

30

py

Python

robots/small/strategies/2019/test/rozi_test_dj/init.py

memristor/mep2

bc5cddacba3d740f791f3454b8cb51bda83ce202

[ "MIT" ]

5

2018-11-27T15:15:00.000Z

2022-02-10T21:44:13.000Z

robots/small/strategies/2019/test/rozi_test_dj/init.py

memristor/mep2

bc5cddacba3d740f791f3454b8cb51bda83ce202

[ "MIT" ]

2

2018-10-20T15:48:40.000Z

2018-11-20T05:11:33.000Z

robots/small/strategies/2019/test/rozi_test_dj/init.py

memristor/mep2

bc5cddacba3d740f791f3454b8cb51bda83ce202

[ "MIT" ]

1

2020-02-07T12:44:47.000Z

def run(): r.setpos(0,0,0)

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1

0

null

0

1

0

6

737f5c6dfbab05bcb783835b262a0f8d11eea86c

48

py

Python

helloworld.py

gti-bing/E71-2021-bing-yue

1d824fe28818b6fa1fa59e501260ed6af48f08d1

[ "Apache-2.0" ]

null

helloworld.py

gti-bing/E71-2021-bing-yue

1d824fe28818b6fa1fa59e501260ed6af48f08d1

[ "Apache-2.0" ]

null

helloworld.py

gti-bing/E71-2021-bing-yue

1d824fe28818b6fa1fa59e501260ed6af48f08d1

[ "Apache-2.0" ]

null

import sys print("Hello, %s!" % (sys.argv[1]))

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73ea41db410921c8c568ecc7ce5ebf5bf0cc94e4

211

py

Python

notifier.py

daflippingarnold864/Computer_Science_Academy

a809b1cd514b38543aa1fe92a9093601ccd5f047

[ "MIT" ]

1

2017-08-15T15:58:40.000Z

notifier.py

daflippingarnold864/Computer_Science_Academy

a809b1cd514b38543aa1fe92a9093601ccd5f047

[ "MIT" ]

null

notifier.py

daflippingarnold864/Computer_Science_Academy

a809b1cd514b38543aa1fe92a9093601ccd5f047

[ "MIT" ]

null

class Notifier: def __init(self): pass def notify(self, msg): print(msg) def message(self, msg): print(msg) def message2(self, msg2): print(msg2)

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6

fbbc573e918419a58c39dd9dc3ae4b58ae5516ce

800

py

Python

venv/Lib/site-packages/tensorflow/profiler/__init__.py

caiovini/Image_reader_api

7fae630a17195d3415eb739278ef21a3b58cae76

[ "MIT" ]

null

venv/Lib/site-packages/tensorflow/profiler/__init__.py

caiovini/Image_reader_api

7fae630a17195d3415eb739278ef21a3b58cae76

[ "MIT" ]

null

venv/Lib/site-packages/tensorflow/profiler/__init__.py

caiovini/Image_reader_api

7fae630a17195d3415eb739278ef21a3b58cae76

[ "MIT" ]

null

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/tools/api/generator/create_python_api.py script. """Public API for tf.profiler namespace. """ from __future__ import print_function from tensorflow.python.profiler.model_analyzer import Profiler from tensorflow.python.profiler.model_analyzer import advise from tensorflow.python.profiler.model_analyzer import profile from tensorflow.python.profiler.option_builder import ProfileOptionBuilder from tensorflow.python.profiler.profiler import AdviceProto from tensorflow.python.profiler.profiler import GraphNodeProto from tensorflow.python.profiler.profiler import MultiGraphNodeProto from tensorflow.python.profiler.profiler import OpLogProto from tensorflow.python.profiler.profiler import write_op_log del print_function

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83b3c48a7622307f3b7a44bf43fec1c7f7ca2ce7

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Python

dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Core/test_variable.py

aleasims/Peach

bb56841e943d719d5101fee0a503ed34308eda04

[ "MIT" ]

null

dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Core/test_variable.py

aleasims/Peach

bb56841e943d719d5101fee0a503ed34308eda04

[ "MIT" ]

null

dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Core/test_variable.py

aleasims/Peach

bb56841e943d719d5101fee0a503ed34308eda04

[ "MIT" ]

1

2020-07-26T03:57:45.000Z

from Xml.Xslt import test_harness from Ft.Xml.Xslt import XsltException, Error from Ft.Xml.XPath import RuntimeException sheet_1 = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:n="http://spam.com" version="1.0" > <xsl:template match="/"> <HTML> <HEAD><TITLE>Address Book</TITLE> </HEAD> <BODY> <TABLE><xsl:apply-templates/></TABLE> </BODY> </HTML> </xsl:template> <xsl:variable name='a'>1</xsl:variable> <xsl:variable name='width' select='100'></xsl:variable> <xsl:variable name='c'></xsl:variable> <xsl:template match="ENTRY">  <xsl:param name='n:a' select='ok'/>  <xsl:variable name='a'>boo</xsl:variable> <xsl:element name='TR'> <xsl:apply-templates select='NAME'/> </xsl:element> </xsl:template> <xsl:template match="NAME"> <xsl:variable name='d' select='.'></xsl:variable> <TD WIDTH='{$d}'> <B><xsl:apply-templates/></B> </TD> </xsl:template> </xsl:stylesheet> """ sheet_2 = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name='override' select='"abc"'/> <xsl:param name='list' select='foo'/> <xsl:template match="/"> <doc> <overridden><xsl:value-of select='$override'/></overridden> <list><xsl:apply-templates select="$list"/></list> </doc> </xsl:template> <xsl:template match="text()"> <item><xsl:value-of select="."/></item> </xsl:template> </xsl:stylesheet> """ sheet_2a = """<?xml version="1.0"?> <xsl:stylesheet version="1.0" xmlns:x="urn:bogus:x" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" > <xsl:param name='x:override' select='"abc"'/> <xsl:template match="/"> <overridden><xsl:value-of select='$x:override'/></overridden> </xsl:template> </xsl:stylesheet> """ sheet_2b = """<?xml version="1.0"?> <xsl:stylesheet version="1.0" xmlns:x="urn:bogus:x" xmlns:y="urn:bogus:y" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" > <xsl:param name='x:override' select='"abc"'/> <xsl:param name='y:override' select='"abc"'/> <xsl:template match="/"> <overridden1><xsl:value-of select='$x:override'/></overridden1> <overridden2><xsl:value-of select='$y:override'/></overridden2> </xsl:template> </xsl:stylesheet> """ sheet_2c = """<?xml version="1.0"?> <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" > <xsl:param xmlns:x="urn:bogus:x" name='x:override' select='"abc"'/> <xsl:param xmlns:x="urn:bogus:xxx" name='x:override' select='"abc"'/> <xsl:template match="/"> <overridden1><xsl:value-of xmlns:x="urn:bogus:x" select='$x:override'/></overridden1> <overridden2><xsl:value-of xmlns:x="urn:bogus:xxx" select='$x:override'/></overridden2> </xsl:template> </xsl:stylesheet> """ sheet_3a = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name='a' select='"foo"'/> <xsl:variable name='b' select='concat($a, "bar")'/> <xsl:template match="/"> <doc> <a><xsl:value-of select='$a'/></a> <b><xsl:value-of select='$b'/></b> </doc> </xsl:template> </xsl:stylesheet> """ sheet_3b = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name='a' select='"foo"'/> <xsl:param name='b' select='concat($a, "bar")'/> <xsl:template match="/"> <doc> <a><xsl:value-of select='$a'/></a> <b><xsl:value-of select='$b'/></b> </doc> </xsl:template> </xsl:stylesheet>""" sheet_3c = """<?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name="color" select="'red'"/> <xsl:param name="type" select="'ink'"/> <xsl:param name="top-level-params"> <p><xsl:value-of select="$color"/></p> <p><xsl:value-of select="$type"/></p> </xsl:param> <xsl:template match="/"> <foo> <xsl:copy-of select="$top-level-params"/> </foo> </xsl:template> </xsl:stylesheet>""" sheet_3d = """<?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name="color" select="'red'"/> <xsl:param name="type" select="'ink'"/> <xsl:variable name="top-level-params"> <p><xsl:value-of select="$color"/></p> <p><xsl:value-of select="$type"/></p> </xsl:variable> <xsl:template match="/"> <foo> <xsl:copy-of select="$top-level-params"/> </foo> </xsl:template> </xsl:stylesheet>""" sheet_4 = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name='a' select='"foo"'/> <xsl:variable name='b'> <xsl:value-of select='$a'/> </xsl:variable> <xsl:variable name='c'> <x y='{$a}'/> </xsl:variable> <xsl:variable name='d'> <xsl:for-each select="/"> <xsl:if test="."> <x y='{$a}'/> </xsl:if> </xsl:for-each> </xsl:variable> <xsl:template match="/"> <doc> <a><xsl:value-of select='$a'/></a> <b><xsl:value-of select='$b'/></b> <c><xsl:copy-of select='$c'/></c> <d><xsl:copy-of select='$d'/></d> </doc> </xsl:template> </xsl:stylesheet> """ sheet_5 = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:template match="/"> <xsl:variable name="a">  <xsl:variable name="a" select="'foo'"/>   <xsl:choose> <xsl:when test="$a = 'foo'">hello</xsl:when> <xsl:otherwise>world</xsl:otherwise> </xsl:choose> </xsl:variable>  <doc> <a><xsl:value-of select='$a'/></a> </doc> </xsl:template> </xsl:stylesheet> """ #This is a global variable binding which depends on other global variable #bindings by reference in an invoked template sheet_6 = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name="a" select="1"/> <xsl:variable name="b"> <a><xsl:value-of select='$a'/></a> <b> <xsl:apply-templates select='document("")/*/xsl:variable'/> </b> </xsl:variable> <xsl:template match="xsl:variable"> <var> <a><xsl:value-of select='$a'/></a> </var> </xsl:template> <xsl:template match="/"> <doc> <xsl:copy-of select='$b'/> </doc> </xsl:template> </xsl:stylesheet> """ invalid_sheet_1 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name='x' select='a'/> <xsl:template match="/"> <xsl:variable name='x' select='b'/> <xsl:value-of select='$x'/> <xsl:apply-templates/> </xsl:template> <xsl:template match="ENTRY"> <xsl:variable name='x' select='c'/> <doc> <xsl:variable name='x' select='d'/> <xsl:value-of select='$x'/> </doc> </xsl:template> </xsl:stylesheet> """ invalid_sheet_2 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name='x' select='a'/> <xsl:template match="/"> <xsl:variable name='x' select='b'/> <xsl:value-of select='$x'/> <xsl:apply-templates/> </xsl:template> <xsl:template match="ENTRY"> <xsl:variable name='x' select='c'/> <xsl:variable name='x' select='d'/> <doc> <xsl:value-of select='$x'/> </doc> </xsl:template> </xsl:stylesheet> """ invalid_sheet_3 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name='image-name' select='a'/> <xsl:template name="dummy"> <xsl:param name="p1"/> <xsl:param name="p2" select="1"/> <xsl:variable name="image-name" select="''"/> <a href='{$image-name}'> <img height="24" width="32" border="0" src="{$image-name}.gif" name="{$image-name}"/> </a> <img height="24" width="32" border="0" src="{$image-name}.gif" name="{$image-name}"/> <xsl:variable name="image-name" select="'a'"/> <xsl:variable name="image-name" select="'b'"/> <img height="24" width="32" border="0" src="{$image-name}.gif" name="{$image-name}"/> </xsl:template> </xsl:stylesheet> """ invalid_sheet_4 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name='x' select='a'/> <xsl:variable name='x' select='b'/> <xsl:template match="/"> <xsl:variable name='y' select='b'/> <xsl:value-of select='$x'/> </xsl:template> </xsl:stylesheet> """ invalid_sheet_5 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name='x' select='a'/> <xsl:param name='x' select='b'/> <xsl:template match="/"> <xsl:variable name='y' select='b'/> <xsl:value-of select='$x'/> </xsl:template> </xsl:stylesheet> """ invalid_sheet_6 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:param name='x' select='a'/> <xsl:param name='x' select='b'/> <xsl:template match="/"> <xsl:variable name='y' select='b'/> <xsl:value-of select='$x'/> </xsl:template> </xsl:stylesheet> """ invalid_sheet_7 = """<?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:template match="/">  <xsl:variable name="a" select="'hello'">world</xsl:variable> <doc> <a><xsl:value-of select='$a'/></a> </doc> </xsl:template> </xsl:stylesheet> """ invalid_sheet_8 = """\ <?xml version="1.0"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name='x' select='a'/> <xsl:template match="/"> <xsl:variable name='x' select='b'/> <xsl:value-of select='$x'/> <xsl:apply-templates/> </xsl:template> <xsl:template name="ENTRY"> <xsl:variable name='x' select='c'/> <doc> <xsl:variable name='x' select='d'/> <xsl:value-of select='$x'/> </doc> </xsl:template> </xsl:stylesheet> """ invalid_sheet_9 = """<?xml version="1.0" encoding="utf-8"?> <xsl:transform xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:template match="/"> <xsl:variable name="invisible">Am I invisible?</xsl:variable> <xsl:apply-templates select="." mode="another"/> <xsl:call-template name="another"/> </xsl:template> <xsl:template match="*" mode="another"> apply-templates: <xsl:value-of select="$invisible"/> </xsl:template> <xsl:template name="another"> call-template: <xsl:value-of select="$invisible"/> </xsl:template> </xsl:transform>""" # SourceForge bug #659626 invalid_sheet_10 = """<?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:variable name="foo"> <xsl:call-template name="bar"> <xsl:with-param name="path" select="'/a/b/c'"/> </xsl:call-template> </xsl:variable> <xsl:template match="/"> foo: <xsl:value-of select="$foo"/> path: <xsl:value-of select="$path"/> </xsl:template> <xsl:template name="bar"> <xsl:param name="path"/> <xsl:value-of select="translate($path,'abc','ABC')"/> </xsl:template> </xsl:stylesheet>""" # variation on previous invalid_sheet_11 = """<?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform" version="1.0"> <xsl:template match="/"> <xsl:variable name="foo"> <xsl:call-template name="bar"> <xsl:with-param name="path" select="'/a/b/c'"/> </xsl:call-template> </xsl:variable> foo: <xsl:value-of select="$foo"/> path: <xsl:value-of select="$path"/> </xsl:template> <xsl:template name="bar"> <xsl:param name="path"/> <xsl:value-of select="translate($path,'abc','ABC')"/> </xsl:template> </xsl:stylesheet>""" source_2 = """ <dummy/> """ expected_1 = """<HTML xmlns:n='http://spam.com'> <HEAD> <meta http-equiv='Content-Type' content='text/html; charset=iso-8859-1'> <TITLE>Address Book</TITLE> </HEAD> <BODY> <TABLE> <TR> <TD WIDTH='Pieter Aaron'><B>Pieter Aaron</B></TD> </TR> <TR> <TD WIDTH='Emeka Ndubuisi'><B>Emeka Ndubuisi</B></TD> </TR> <TR> <TD WIDTH='Vasia Zhugenev'><B>Vasia Zhugenev</B></TD> </TR> </TABLE> </BODY> </HTML>""" expected_2 = """<?xml version='1.0' encoding='UTF-8'?> <doc><overridden>xyz</overridden><list><item>a</item><item>b</item><item>c</item></list></doc>""" expected_2a = """<?xml version="1.0" encoding="UTF-8"?>\n<overridden xmlns:x="urn:foo">xyz</overridden>""" expected_2b = """<?xml version="1.0" encoding="UTF-8"?>\n<overridden1 xmlns:y="urn:bogus:y" xmlns:x="urn:bogus:x">xyz</overridden1><overridden2 xmlns:y="urn:bogus:y" xmlns:x="urn:bogus:x">abc</overridden2>""" expected_2c = """<?xml version="1.0" encoding="UTF-8"?>\n<overridden1>xyz</overridden1><overridden2>abc</overridden2>""" expected_3 = """<?xml version='1.0' encoding='UTF-8'?> <doc><a>foo</a><b>foobar</b></doc>""" expected_3c = """<?xml version='1.0' encoding='UTF-8'?> <foo><p>red</p><p>ink</p></foo>""" expected_3d = """<?xml version='1.0' encoding='UTF-8'?> <foo><p>red</p><p>ink</p></foo>""" expected_4 = """<?xml version='1.0' encoding='UTF-8'?> <doc><a>foo</a><b>foo</b><c><x y='foo'/></c><d><x y='foo'/></d></doc>""" expected_5 = """<?xml version='1.0' encoding='UTF-8'?> <doc><a>hello</a></doc>""" expected_6 = """<?xml version='1.0' encoding='UTF-8'?> <doc><a>1</a><b><var><a>1</a></var><var><a>1</a></var></b></doc>""" def Test(tester): source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=sheet_1) test_harness.XsltTest(tester, source, [sheet], expected_1, title='Usage') source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_2) test_harness.XsltTest(tester, source, [sheet], expected_2, topLevelParams={'override' : 'xyz', 'list' : ['a', 'b', 'c']}, title="Top-level param override") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_2a) test_harness.XsltTest(tester, source, [sheet], expected_2a, topLevelParams={'x:override' : 'xyz'}, title="Top-level param override using QName") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_2b) test_harness.XsltTest(tester, source, [sheet], expected_2b, topLevelParams={'x:override' : 'xyz'}, title="Top-level param override using QName 2") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_2c) test_harness.XsltTest(tester, source, [sheet], expected_2c, topLevelParams={('urn:bogus:x', u'override'): 'xyz'}, title="Top-level param override using QName with prefix ambiguity") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_3a) test_harness.XsltTest(tester, source, [sheet], expected_3, title="Top-level variable depends on top-level param 1") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_3b) test_harness.XsltTest(tester, source, [sheet], expected_3, title="Top-level param depends on top-level param 1") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_3c) test_harness.XsltTest(tester, source, [sheet], expected_3c, title="Top-level param w/RTF depends on top-level param 1") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_3d) test_harness.XsltTest(tester, source, [sheet], expected_3d, title="Top-level variable w/RTF depends on 2 top-level params 1") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_4) test_harness.XsltTest(tester, source, [sheet], expected_4, title="Top-level variable depends on top-level param 2") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_5) test_harness.XsltTest(tester, source, [sheet], expected_5, title="Binding not visible until following sibling") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=sheet_6) test_harness.XsltTest(tester, source, [sheet], expected_6, title="Global dependence through an applied template") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_1) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.ILLEGAL_SHADOWING, title="Illegal shadowing 1") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_2) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.ILLEGAL_SHADOWING, title="Illegal shadowing 2") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_3) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.ILLEGAL_SHADOWING, title="Illegal shadowing 3") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_4) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.DUPLICATE_TOP_LEVEL_VAR, title="Illegal shadowing 4") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_5) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.DUPLICATE_TOP_LEVEL_VAR, title="Illegal shadowing 5") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_6) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.DUPLICATE_TOP_LEVEL_VAR, title="Illegal shadowing 6") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_8) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.ILLEGAL_SHADOWING, title="Illegal shadowing 7") source = test_harness.FileInfo(uri="Xml/Xslt/Core/addr_book1.xml") sheet = test_harness.FileInfo(string=invalid_sheet_7) test_harness.XsltTest(tester, source, [sheet], None, exceptionCode=Error.VAR_WITH_CONTENT_AND_SELECT, title="Illegal content when select attribute present") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=invalid_sheet_9) test_harness.XsltTest(tester, source, [sheet], None, exceptionClass=RuntimeException, exceptionCode=RuntimeException.UNDEFINED_VARIABLE, title="Visibility of variables across templates") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=invalid_sheet_10) test_harness.XsltTest(tester, source, [sheet], None, exceptionClass=RuntimeException, exceptionCode=RuntimeException.UNDEFINED_VARIABLE, title="Param visibility when evaluating top-level variable") source = test_harness.FileInfo(string=source_2) sheet = test_harness.FileInfo(string=invalid_sheet_11) test_harness.XsltTest(tester, source, [sheet], None, exceptionClass=RuntimeException, exceptionCode=RuntimeException.UNDEFINED_VARIABLE, title="Param visibility") return

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null

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6

83f3bb47809ef551af7a69077d3c5902650180d1

7,929

py

Python

venv/lib/python3.8/site-packages/validation/number.py

julio9246/hg-poker-api

56805601bc26bf8bb80e05235ae22a59a174af09

[ "Apache-2.0" ]

9

2017-12-01T21:31:12.000Z

2019-08-30T15:36:41.000Z

venv/lib/python3.8/site-packages/validation/number.py

julio9246/hg-poker-api

56805601bc26bf8bb80e05235ae22a59a174af09

[ "Apache-2.0" ]

41

2017-09-06T15:18:06.000Z

2022-01-03T23:10:54.000Z

venv/lib/python3.8/site-packages/validation/number.py

julio9246/hg-poker-api

56805601bc26bf8bb80e05235ae22a59a174af09

[ "Apache-2.0" ]

4

2019-01-02T21:17:38.000Z

2021-01-25T10:48:01.000Z

import math import six from .core import _validate_bool from .common import make_optional_argument_default _undefined = make_optional_argument_default() def _validate_int(value, min_value=None, max_value=None, required=True): if value is None: if required: raise TypeError("required value is None") return if not isinstance(value, six.integer_types): raise TypeError(( "expected 'int', but value is of type {cls!r}" ).format(cls=value.__class__.__name__)) if min_value is not None and value < min_value: raise ValueError(( "expected value less than {min}, but got {value}" ).format(value=value, min=min_value)) if max_value is not None and value > max_value: raise ValueError(( "expected value greater than {max}, but got {value}" ).format(value=value, max=max_value)) class _int_validator(object): def __init__(self, min_value, max_value, required): _validate_int(min_value, required=False) _validate_int(max_value, required=False) if ( min_value is not None and max_value is not None and min_value > max_value ): raise ValueError(( 'minimum value {min!r} is greater than maximum value {max!r}' ).format(min=min_value, max=max_value)) self.__min_value = min_value self.__max_value = max_value _validate_bool(required) self.__required = required def __call__(self, value): _validate_int( value, min_value=self.__min_value, max_value=self.__max_value, required=self.__required, ) def __repr__(self): args = [] if self.__min_value is not None: args.append('min_value={min_value!r}'.format( min_value=self.__min_value, )) if self.__max_value is not None: args.append('max_value={max_value!r}'.format( max_value=self.__max_value, )) if not self.__required: args.append('required={required!r}'.format( required=self.__required, )) return 'validate_int({args})'.format(args=', '.join(args)) def validate_int( value=_undefined, min_value=None, max_value=None, required=True, ): """ Checks that the target value is a valid integer, and that it fits in the requested bounds. Does not accept integer values encoded as ``floats``. Adding a value to a ``float`` will result in a loss of precision if the total is greater than ``2**53``. The division operator also behaves differently in python 2. :param int value: The number to be validated. :param int min_value: The minimum acceptable value for the number. :param int max_value: The maximum acceptable value for the number. :param bool required: Whether the value can be `None`. Defaults to `True`. :raises TypeError: If the value is not an integer, or if it was marked as `required` but `None` was passed in. :raises ValueError: If the value is not within bounds. """ validate = _int_validator( min_value=min_value, max_value=max_value, required=required, ) if value is not _undefined: validate(value) else: return validate def _validate_float( value, min_value=None, max_value=None, allow_infinite=False, allow_nan=False, required=True, ): if value is None: if required: raise TypeError("required value is None") return if not isinstance(value, float): raise TypeError(( "expected 'float', but value is of type {cls!r}" ).format(cls=value.__class__.__name__)) if not allow_infinite and math.isinf(value): raise ValueError(( "expected finite value, but got {value}" ).format(value=value)) if not allow_nan and math.isnan(value): raise ValueError(( "expected valid float, but got {value}" ).format(value=value)) if min_value is not None and value < min_value: raise ValueError(( "expected value less than {min}, but got {value}" ).format(value=value, min=min_value)) if max_value is not None and value > max_value: raise ValueError(( "expected value greater than {max}, but got {value}" ).format(value=value, max=max_value)) class _float_validator(object): def __init__( self, min_value, max_value, allow_infinite, allow_nan, required, ): _validate_float( min_value, allow_infinite=True, required=False, ) _validate_float( max_value, allow_infinite=True, required=False, ) if ( min_value is not None and max_value is not None and min_value > max_value ): raise ValueError(( 'minimum value {min!r} is greater than maximum value {max!r}' ).format(min=min_value, max=max_value)) self.__min_value = min_value self.__max_value = max_value _validate_bool(allow_infinite) self.__allow_infinite = allow_infinite _validate_bool(allow_nan) self.__allow_nan = allow_nan _validate_bool(required) self.__required = required def __call__(self, value): _validate_float( value, min_value=self.__min_value, max_value=self.__max_value, allow_infinite=self.__allow_infinite, allow_nan=self.__allow_nan, required=self.__required, ) def __repr__(self): args = [] if self.__min_value is not None: args.append('min_value={min_value!r}'.format( min_value=self.__min_value, )) if self.__max_value is not None: args.append('max_value={max_value!r}'.format( max_value=self.__max_value, )) if self.__allow_infinite: args.append('allow_infinite={allow_infinite!r}'.format( allow_infinite=self.__allow_infinite, )) if self.__allow_nan: args.append('allow_nan={allow_nan!r}'.format( allow_nan=self.__allow_nan, )) if not self.__required: args.append('required={required!r}'.format( required=self.__required, )) return 'validate_float({args})'.format(args=', '.join(args)) def validate_float( value=_undefined, min_value=None, max_value=None, allow_infinite=False, allow_nan=False, required=True, ): """ Checks that the target value is a valid floating point number and that it fits in the requested bounds. :param int value: The number to be validated. :param int min_value: The minimum acceptable value for the number. :param int max_value: The maximum acceptable value for the number. :param bool allow_infinite: Whether or not to accept positive or negative infinities. Defaults to ``False``. :param bool allow_nan: Whether or not to accept NaNs. Defaults to ``False``. :param bool required: Whether the value can be ``None``. Defaults to ``True``. :raises TypeError: If the value is not an integer, or if it was marked as ``required`` but ``None`` was passed in. :raises ValueError: If the value is not within bounds. """ validate = _float_validator( min_value=min_value, max_value=max_value, allow_infinite=allow_infinite, allow_nan=allow_nan, required=required, ) if value is not _undefined: validate(value) else: return validate

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f7dbfbae2ac4cfccdbf78cfd210ad7325c6f747d

25,269

py

Python

src/datashare/azext_datashare/manual/_params.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

207

2017-11-29T06:59:41.000Z

2022-03-31T10:00:53.000Z

src/datashare/azext_datashare/manual/_params.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

4,061

2017-10-27T23:19:56.000Z

2022-03-31T23:18:30.000Z

src/datashare/azext_datashare/manual/_params.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

802

2017-10-11T17:36:26.000Z

2022-03-31T22:24:32.000Z

# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- # pylint: disable=line-too-long # pylint: disable=too-many-lines # pylint: disable=too-many-statements # pylint: disable=unused-import from knack.arguments import CLIArgumentType from azure.cli.core.commands.parameters import ( tags_type, get_enum_type, resource_group_name_type, get_location_type, get_datetime_type ) from azure.cli.core.commands.validators import get_default_location_from_resource_group, validate_file_or_dict from azext_datashare.vendored_sdks.datashare.models._data_share_management_client_enums import ShareKind, Kind, SynchronizationMode, SynchronizationKind, RecurrenceInterval from azext_datashare.manual._validators import invitation_id_validator def load_arguments(self, _): with self.argument_context('datashare account list') as c: c.argument('resource_group_name', resource_group_name_type) # modified with self.argument_context('datashare account show') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', options_list=['--name', '-n'], id_part='name', help='The name of the share account.') # modified with self.argument_context('datashare account create') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', options_list=['--name', '-n'], help='The name of the share account.') # modified c.argument('location', arg_type=get_location_type(self.cli_ctx), validator=get_default_location_from_resource_group) # modified c.argument('tags', tags_type) # modified c.ignore('identity') # Only system assigned identity is supported, we can omit this option with self.argument_context('datashare account update') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', options_list=['--name', '-n'], id_part='name', help='The name of the share account.') # modified c.argument('tags', tags_type) # modified with self.argument_context('datashare account delete') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', options_list=['--name', '-n'], id_part='name', help='The name of the share account.') with self.argument_context('datashare account wait') as c: c.argument('account_name', options_list=['--name', '-n'], id_part='name', help='The name of the share account.') # modified with self.argument_context('datashare list') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') with self.argument_context('datashare show') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', options_list=['--name', '-n'], id_part='child_name_1', help='The name of the share.') # modified with self.argument_context('datashare create') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', options_list=['--name', '-n'], help='The name of the share.') # modified c.argument('description', help='Share description.') # modified c.argument('share_kind', arg_type=get_enum_type(ShareKind), help='Share kind.') # modified c.argument('terms', help='Share terms.') # modified with self.argument_context('datashare delete') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', options_list=['--name', '-n'], id_part='child_name_1', help='The name of the share.') # modified with self.argument_context('datashare wait') as c: c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', options_list=['--name', '-n'], id_part='child_name_1', help='The name of the share.') # modified with self.argument_context('datashare dataset list') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') with self.argument_context('datashare dataset show') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('data_set_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the dataset.') # modified with self.argument_context('datashare dataset create') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') c.argument('data_set_name', options_list=['--name', '-n'], help='The name of the dataset.') # modified c.argument('data_set', options_list=['--dataset'], type=validate_file_or_dict, help='Dataset parameters in JSON string or path to JSON file.') # modified with self.argument_context('datashare dataset delete') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('data_set_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the dataset.') # modified with self.argument_context('datashare dataset wait') as c: c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('data_set_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the dataset.') # modified with self.argument_context('datashare invitation list') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') with self.argument_context('datashare invitation show') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('invitation_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the invitation.') # modified with self.argument_context('datashare invitation create') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') c.argument('invitation_name', options_list=['--name', '-n'], help='The name of the invitation.') # modified c.argument('target_active_directory_id', help='The target Azure AD Id. Can\'t be combined with email.') # modified c.argument('target_email', help='The email the invitation is directed to.') # modified c.argument('target_object_id', help='The target user or application Id that invitation is being sent to. Must be specified along TargetActiveDirectoryId. This enables sending invitations to specific users or applications in an AD tenant.') # modified with self.argument_context('datashare invitation delete') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('invitation_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the invitation.') # modified with self.argument_context('datashare synchronization-setting list') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') with self.argument_context('datashare synchronization-setting show') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('synchronization_setting_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the synchronizationSetting.') # modified with self.argument_context('datashare synchronization-setting create') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') c.argument('synchronization_setting_name', options_list=['--name', '-n'], help='The name of the synchronizationSetting.') # modified c.argument('recurrence_interval', arg_type=get_enum_type(RecurrenceInterval), arg_group='Synchronization Setting', help='Synchronization Recurrence Interval.') c.argument('synchronization_time', arg_group='Synchronization Setting', arg_type=get_datetime_type(help='Synchronization time.')) c.argument('kind', arg_type=get_enum_type(SynchronizationKind), arg_group='Synchronization Setting', default='ScheduleBased', help='Kind of synchronization.') with self.argument_context('datashare synchronization-setting delete') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('synchronization_setting_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the synchronizationSetting.') # modified with self.argument_context('datashare synchronization-setting wait') as c: c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('synchronization_setting_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the synchronizationSetting.') # modified with self.argument_context('datashare synchronization list-detail') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') # modified c.argument('share_name', help='The name of the share.') # modified c.argument('synchronization_id', help='The synchronization GUID.') with self.argument_context('datashare synchronization list') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') # modified c.argument('share_name', help='The name of the share.') # modified with self.argument_context('datashare provider-share-subscription list') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_name', help='The name of the share.') with self.argument_context('datashare provider-share-subscription show') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('provider_share_subscription_id', options_list=['--share-subscription'], id_part='child_name_2', help='To locate share subscription') # modified TODO validator with self.argument_context('datashare provider-share-subscription revoke') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('provider_share_subscription_id', options_list=['--share-subscription'], id_part='child_name_2', help='To locate share subscription') # modified with self.argument_context('datashare provider-share-subscription reinstate') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('provider_share_subscription_id', options_list=['--share-subscription'], id_part='child_name_2', help='To locate share subscription') # modified with self.argument_context('datashare provider-share-subscription wait') as c: c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_name', id_part='child_name_1', help='The name of the share.') # modified c.argument('provider_share_subscription_id', options_list=['--share-subscription'], id_part='child_name_2', help='To locate share subscription') # modified with self.argument_context('datashare consumer invitation list') as c: pass with self.argument_context('datashare consumer invitation show') as c: c.argument('location', arg_type=get_location_type(self.cli_ctx)) # modified c.argument('invitation_id', validator=invitation_id_validator, help='An invitation id') with self.argument_context('datashare consumer invitation reject') as c: c.argument('location', arg_type=get_location_type(self.cli_ctx)) # modified c.argument('invitation_id', validator=invitation_id_validator, help='An invitation id') # modified with self.argument_context('datashare consumer share-subscription list') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') with self.argument_context('datashare consumer share-subscription show') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_subscription_name', options_list=['--name', '-n'], id_part='child_name_1', help='The name of the share subscription.') # modified with self.argument_context('datashare consumer share-subscription create') as c: from azure.cli.core.commands.parameters import get_location_name_type, get_location_completion_list c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', options_list=['--name', '-n'], help='The name of the share subscription.') # modified c.argument('invitation_id', validator=invitation_id_validator, help='The invitation id.') # modified c.argument('source_share_location', type=get_location_name_type(self.cli_ctx), help='Source share location.', completer=get_location_completion_list) # modified with self.argument_context('datashare consumer share-subscription delete') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_subscription_name', options_list=['--name', '-n'], id_part='child_name_1', help='The name of the share subscription.') # modified with self.argument_context('datashare consumer share-subscription list-source-share-synchronization-setting') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') with self.argument_context('datashare consumer share-subscription list-source-dataset') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') with self.argument_context('datashare consumer share-subscription wait') as c: c.argument('account_name', id_part='name', help='The name of the share account.') c.argument('share_subscription_name', options_list=['--name', '-n'], id_part='child_name_1', help='The name of the share subscription.') # modified with self.argument_context('datashare consumer share-subscription synchronization start') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') c.argument('synchronization_mode', arg_type=get_enum_type(SynchronizationMode), help='Synchronization mode') # modified with self.argument_context('datashare consumer share-subscription synchronization cancel') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') c.argument('synchronization_id', help='The synchronization GUID') with self.argument_context('datashare consumer share-subscription synchronization wait') as c: c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') c.argument('synchronization_id', help='The synchronization GUID') with self.argument_context('datashare consumer share-subscription synchronization list') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') with self.argument_context('datashare consumer share-subscription synchronization list-detail') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') c.argument('synchronization_id', help='Synchronization id') with self.argument_context('datashare consumer dataset-mapping list') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') with self.argument_context('datashare consumer dataset-mapping show') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') c.argument('share_subscription_name', id_part='child_name_1', help='The name of the share subscription.') c.argument('data_set_mapping_name', id_part='child_name_2', options_list=['--name', '-n'], help='The name of the datasetMapping.') # modified with self.argument_context('datashare consumer dataset-mapping create') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') c.argument('data_set_mapping_name', options_list=['--name', '-n'], help='The name of the datasetMapping.') # modified c.argument('data_set_mapping', options_list=['--mapping'], type=validate_file_or_dict, help='Dataset mapping in JSON string or path to JSON file.') # modified with self.argument_context('datashare consumer dataset-mapping delete') as c: # modified c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') c.argument('share_subscription_name', id_part='child_name_1', help='The name of the share subscription.') c.argument('data_set_mapping_name', id_part='child_name_2', options_list=['--name', '-n'], help='The name of the datasetMapping.') # modified with self.argument_context('datashare consumer dataset-mapping wait') as c: c.argument('account_name', id_part='name', help='The name of the share account.') c.argument('share_subscription_name', id_part='child_name_1', help='The name of the share subscription.') c.argument('data_set_mapping_name', id_part='child_name_2', options_list=['--name', '-n'], help='The name of the datasetMapping.') # modified with self.argument_context('datashare consumer trigger list') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') with self.argument_context('datashare consumer trigger show') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') c.argument('share_subscription_name', id_part='child_name_1', help='The name of the share subscription.') c.argument('trigger_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the trigger.') with self.argument_context('datashare consumer trigger create') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', help='The name of the share account.') c.argument('share_subscription_name', help='The name of the share subscription.') c.argument('trigger_name', options_list=['--name', '-n'], help='The name of the trigger.') # modified c.argument('recurrence_interval', arg_type=get_enum_type(RecurrenceInterval), arg_group='Synchronization Setting', help='Synchronization Recurrence Interval.') c.argument('synchronization_time', arg_group='Synchronization Setting', arg_type=get_datetime_type(help='Synchronization time.')) c.argument('kind', arg_type=get_enum_type(SynchronizationKind), arg_group='Synchronization Setting', default='ScheduleBased', help='Kind of synchronization.') with self.argument_context('datashare consumer trigger delete') as c: c.argument('resource_group_name', resource_group_name_type) # modified c.argument('account_name', id_part='name', help='The name of the share account.') # modified c.argument('share_subscription_name', id_part='child_name_1', help='The name of the share subscription.') # modified c.argument('trigger_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the trigger.') # modified with self.argument_context('datashare consumer trigger wait') as c: c.argument('trigger_name', options_list=['--name', '-n'], id_part='child_name_2', help='The name of the trigger.') # modified

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py

Python

wingedsheep/carcassonne/objects/actions/pass_action.py

SuryaVikram/CarcassonneMaster

cc0201638dfea05b254833097329729e9b8a410c

[ "MIT" ]

11

2020-05-19T17:29:18.000Z

2022-03-24T06:22:50.000Z

wingedsheep/carcassonne/objects/actions/pass_action.py

SuryaVikram/CarcassonneMaster

cc0201638dfea05b254833097329729e9b8a410c

[ "MIT" ]

6

2020-05-18T09:24:26.000Z

2022-03-12T00:30:21.000Z

wingedsheep/carcassonne/objects/actions/pass_action.py

SuryaVikram/CarcassonneMaster

cc0201638dfea05b254833097329729e9b8a410c

[ "MIT" ]

5

2021-09-16T11:53:26.000Z

2022-03-30T12:08:56.000Z

from wingedsheep.carcassonne.objects.actions.action import Action class PassAction(Action): pass

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py

Python

data/typing/numpy.random.bit_generator.py

pydata-apis/python-api-record

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

67

2020-08-17T11:53:26.000Z

2021-11-08T20:16:06.000Z

data/typing/numpy.random.bit_generator.py

data-apis/python-record-api

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

36

2020-08-17T11:09:51.000Z

2021-12-15T18:09:47.000Z

data/typing/numpy.random.bit_generator.py

pydata-apis/python-api-record

684cffbbb6dc6e81f9de4e02619c8b0ebc557b2b

[ "MIT" ]

7

2020-08-19T05:06:47.000Z

2020-11-04T05:10:38.000Z

from typing import * class SeedSequence: pass

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py

Python

utm/setup.py

jn89b/UTM

cced37217708499d5b0dbe9106722b039ef935ac

[ "MIT" ]

null

utm/setup.py

jn89b/UTM

cced37217708499d5b0dbe9106722b039ef935ac

[ "MIT" ]

null

utm/setup.py

jn89b/UTM

cced37217708499d5b0dbe9106722b039ef935ac

[ "MIT" ]

null

from disutils.core import setup from catkin_pkg.python_setup import generate_disutils_setup d = generate_disutils_setup( packages=["utm"], package_dir={"":"src"} )

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79298c213a0e10cb4109405258adb427ca98eac0

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py

Python

utilities/autoware_launcher/src/autoware_launcher/gui/__init__.py

alanjclark/autoware.ai

ba97edbbffb6f22e78912bf96400a59ef6a13daf

[ "Apache-2.0" ]

20

2019-05-21T06:14:17.000Z

2021-11-03T04:36:09.000Z

ros/src/util/packages/autoware_launcher/src/autoware_launcher/gui/__init__.py

anhnv3991/autoware

d5b2ed9dc309193c8a2a7c77a2b6c88104c28328

[ "Apache-2.0" ]

40

2019-06-24T16:56:15.000Z

2022-02-28T13:41:58.000Z

ros/src/util/packages/autoware_launcher/src/autoware_launcher/gui/__init__.py

anhnv3991/autoware

d5b2ed9dc309193c8a2a7c77a2b6c88104c28328

[ "Apache-2.0" ]

31

2020-05-29T07:51:58.000Z

2022-03-26T05:46:33.000Z

from .client import AwQtGuiClient

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488

py

Python

bark/runtime/scenario/scenario_generation/config_readers/__init__.py

GAIL-4-BARK/bark

1cfda9ba6e9ec5318fbf01af6b67c242081b516e

[ "MIT" ]

null

bark/runtime/scenario/scenario_generation/config_readers/__init__.py

GAIL-4-BARK/bark

1cfda9ba6e9ec5318fbf01af6b67c242081b516e

[ "MIT" ]

null

bark/runtime/scenario/scenario_generation/config_readers/__init__.py

GAIL-4-BARK/bark

1cfda9ba6e9ec5318fbf01af6b67c242081b516e

[ "MIT" ]

1

2020-08-12T17:09:05.000Z

# Copyright (c) 2020 Julian Bernhard, Klemens Esterle, Patrick Hart and # Tobias Kessler # # This work is licensed under the terms of the MIT license. # For a copy, see <https://opensource.org/licenses/MIT>. from .agent_state_geometry_config_readers import * from .behavior_model_config_readers import * from .controlled_agents_config_readers import * from .dynamic_model_config_readers import * from .execution_model_config_readers import * from .goal_definition_config_readers import *

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e390771eb7dc9add9eb50aa94ca16ed62011a4a1

592

py

Python

python/testData/buildout/django-script.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/buildout/django-script.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/buildout/django-script.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

#!"C:\Python26\python.exe" import sys sys.path[0:0] = [ 'c:\\src\\django\\buildout15\\src', 'c:\\src\\django\\buildout15\\eggs\\djangorecipe-0.20-py2.6.egg', 'c:\\src\\django\\buildout15\\eggs\\zc.recipe.egg-1.3.2-py2.6.egg', 'c:\\src\\django\\buildout15\\eggs\\zc.buildout-1.5.2-py2.6.egg', 'c:\\src\\django\\buildout15\\eggs\\setuptools-0.6c12dev_r88124-py2.6.egg', 'c:\\src\\django\\buildout15\\parts\\django', 'c:\\src\\django\\buildout15', ] import djangorecipe.manage if __name__ == '__main__': djangorecipe.manage.main('shorturls.testsettings')

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e3a8c8e95b8e9ccad0e51b677751ff7a7d7b7de9

147

py

Python

trn.py

pkipjames/emotional-chatbot_gpt2

063b2f755d27a2522ea7cf35a274e6eaaa01a09e

[ "MIT" ]

null

trn.py

pkipjames/emotional-chatbot_gpt2

063b2f755d27a2522ea7cf35a274e6eaaa01a09e

[ "MIT" ]

null

trn.py

pkipjames/emotional-chatbot_gpt2

063b2f755d27a2522ea7cf35a274e6eaaa01a09e

[ "MIT" ]

null

import os; os.system("cd models/345M_org;wget https://drive.google.com/u/0/uc?export=download&confirm=GEU2&id=1CzCNAuaXiaQsdCMTiki2X9XuyCwowQY3");

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124

py

Python

tests/test_install.py

Utagai/spice

a2604ad01c12138067eeb2036258437e0f8e4b82

[ "MIT" ]

41

2016-08-01T04:57:24.000Z

2022-02-13T01:38:04.000Z

tests/test_install.py

Utagai/spice

a2604ad01c12138067eeb2036258437e0f8e4b82

[ "MIT" ]

32

2016-07-13T18:10:22.000Z

2018-06-05T22:58:48.000Z

tests/test_install.py

Utagai/spice

a2604ad01c12138067eeb2036258437e0f8e4b82

[ "MIT" ]

14

2016-08-25T23:09:03.000Z

2018-05-06T19:33:32.000Z

import spice_api as spice def test_install(): assert spice.user_agent == 'spice API (https://github.com/Utagai/spice)'

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e3fb0ca541fa1e19ebd401c701fa1d8873735cb3

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py

Python

venv/lib/python3.8/site-packages/wheel/__main__.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/wheel/__main__.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/wheel/__main__.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/94/5f/98/2cee217509a85ae87879665df182f553de5149d9bbeac34b0576b4be31

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null

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0

6

5897597165bae97f38fe359d6b0a320ea74f5e81

26

py

Python

pyi2c/__init__.py

newini/pyi2c

9c98b83cd8f199f3706bffd9ff09cbf5f4ca7a9f

[ "MIT" ]

null

pyi2c/__init__.py

newini/pyi2c

9c98b83cd8f199f3706bffd9ff09cbf5f4ca7a9f

[ "MIT" ]

null

pyi2c/__init__.py

newini/pyi2c

9c98b83cd8f199f3706bffd9ff09cbf5f4ca7a9f

[ "MIT" ]

null

from pyi2c.pyi2c import *

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6

5452b9ac260cf94e180e6cb50cc1c6d8c89839a7

356

py

Python

optimus/engines/cudf/rows.py

ironmussa/Optimus

fbaea6e0957f0bc016280a85ff021904faac20c5

[ "Apache-2.0" ]

1,045

2017-07-17T17:59:46.000Z

2021-06-15T07:06:48.000Z

optimus/engines/cudf/rows.py

ironmussa/Optimus

fbaea6e0957f0bc016280a85ff021904faac20c5

[ "Apache-2.0" ]

955

2017-07-14T15:47:58.000Z

2021-05-27T14:16:24.000Z

optimus/engines/cudf/rows.py

ironmussa/Optimus

fbaea6e0957f0bc016280a85ff021904faac20c5

[ "Apache-2.0" ]

226

2017-08-04T20:41:33.000Z

2021-05-21T08:28:33.000Z

import functools import operator from optimus.engines.base.cudf.rows import CUDFBaseRows import cudf import pandas as pd from optimus.engines.base.dataframe.rows import DataFrameBaseRows from optimus.engines.base.cudf.rows import CUDFBaseRows from optimus.engines.base.rows import BaseRows class Rows(DataFrameBaseRows, CUDFBaseRows, BaseRows): pass

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44

py

Python

ninja/openapi/__init__.py

Stamper/django-ninja

39479db2937b0a8a918cfe1c0790ad7016db7edc

[ "MIT" ]

1

2021-05-03T15:38:41.000Z

ninja/openapi/__init__.py

Stamper/django-ninja

39479db2937b0a8a918cfe1c0790ad7016db7edc

[ "MIT" ]

null

ninja/openapi/__init__.py

Stamper/django-ninja

39479db2937b0a8a918cfe1c0790ad7016db7edc

[ "MIT" ]

null

from ninja.openapi.schema import get_schema

22

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6

549977c6d5650932c1dff0e6838a7c35b5ec512a

205,919

py

Python

lib_pypy/cffi/_pycparser/yacctab.py

nanjekyejoannah/pypy

e80079fe13c29eda7b2a6b4cd4557051f975a2d9

[ "Apache-2.0", "OpenSSL" ]

null

lib_pypy/cffi/_pycparser/yacctab.py

nanjekyejoannah/pypy

e80079fe13c29eda7b2a6b4cd4557051f975a2d9

[ "Apache-2.0", "OpenSSL" ]

1

2022-02-22T00:59:49.000Z

lib_pypy/cffi/_pycparser/yacctab.py

nanjekyejoannah/pypy

e80079fe13c29eda7b2a6b4cd4557051f975a2d9

[ "Apache-2.0", "OpenSSL" ]

1

2022-03-30T11:42:37.000Z

# yacctab.py # This file is automatically generated. Do not edit. _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'translation_unit_or_emptyleftLORleftLANDleftORleftXORleftANDleftEQNEleftGTGELTLEleftRSHIFTLSHIFTleftPLUSMINUSleftTIMESDIVIDEMODAUTO BREAK CASE CHAR CONST CONTINUE DEFAULT DO DOUBLE ELSE ENUM EXTERN FLOAT FOR GOTO IF INLINE INT LONG REGISTER OFFSETOF RESTRICT RETURN SHORT SIGNED SIZEOF STATIC STRUCT SWITCH TYPEDEF UNION UNSIGNED VOID VOLATILE WHILE __INT128 _BOOL _COMPLEX _NORETURN _THREAD_LOCAL _STATIC_ASSERT _ATOMIC _ALIGNOF _ALIGNAS ID TYPEID INT_CONST_DEC INT_CONST_OCT INT_CONST_HEX INT_CONST_BIN INT_CONST_CHAR FLOAT_CONST HEX_FLOAT_CONST CHAR_CONST WCHAR_CONST U8CHAR_CONST U16CHAR_CONST U32CHAR_CONST STRING_LITERAL WSTRING_LITERAL U8STRING_LITERAL U16STRING_LITERAL U32STRING_LITERAL PLUS MINUS TIMES DIVIDE MOD OR AND NOT XOR LSHIFT RSHIFT LOR LAND LNOT LT LE GT GE EQ NE EQUALS TIMESEQUAL DIVEQUAL MODEQUAL PLUSEQUAL MINUSEQUAL LSHIFTEQUAL RSHIFTEQUAL ANDEQUAL XOREQUAL OREQUAL PLUSPLUS MINUSMINUS ARROW CONDOP LPAREN RPAREN LBRACKET RBRACKET LBRACE RBRACE COMMA PERIOD SEMI COLON ELLIPSIS PPHASH PPPRAGMA PPPRAGMASTRabstract_declarator_opt : empty\n| abstract_declaratorassignment_expression_opt : empty\n| assignment_expressionblock_item_list_opt : empty\n| block_item_listdeclaration_list_opt : empty\n| declaration_listdeclaration_specifiers_no_type_opt : empty\n| declaration_specifiers_no_typedesignation_opt : empty\n| designationexpression_opt : empty\n| expressionid_init_declarator_list_opt : empty\n| id_init_declarator_listidentifier_list_opt : empty\n| identifier_listinit_declarator_list_opt : empty\n| init_declarator_listinitializer_list_opt : empty\n| initializer_listparameter_type_list_opt : empty\n| parameter_type_liststruct_declarator_list_opt : empty\n| struct_declarator_listtype_qualifier_list_opt : empty\n| type_qualifier_list direct_id_declarator : ID\n direct_id_declarator : LPAREN id_declarator RPAREN\n direct_id_declarator : direct_id_declarator LBRACKET type_qualifier_list_opt assignment_expression_opt RBRACKET\n direct_id_declarator : direct_id_declarator LBRACKET STATIC type_qualifier_list_opt assignment_expression RBRACKET\n | direct_id_declarator LBRACKET type_qualifier_list STATIC assignment_expression RBRACKET\n direct_id_declarator : direct_id_declarator LBRACKET type_qualifier_list_opt TIMES RBRACKET\n direct_id_declarator : direct_id_declarator LPAREN parameter_type_list RPAREN\n | direct_id_declarator LPAREN identifier_list_opt RPAREN\n direct_typeid_declarator : TYPEID\n direct_typeid_declarator : LPAREN typeid_declarator RPAREN\n direct_typeid_declarator : direct_typeid_declarator LBRACKET type_qualifier_list_opt assignment_expression_opt RBRACKET\n direct_typeid_declarator : direct_typeid_declarator LBRACKET STATIC type_qualifier_list_opt assignment_expression RBRACKET\n | direct_typeid_declarator LBRACKET type_qualifier_list STATIC assignment_expression RBRACKET\n direct_typeid_declarator : direct_typeid_declarator LBRACKET type_qualifier_list_opt TIMES RBRACKET\n direct_typeid_declarator : direct_typeid_declarator LPAREN parameter_type_list RPAREN\n | direct_typeid_declarator LPAREN identifier_list_opt RPAREN\n direct_typeid_noparen_declarator : TYPEID\n direct_typeid_noparen_declarator : direct_typeid_noparen_declarator LBRACKET type_qualifier_list_opt assignment_expression_opt RBRACKET\n direct_typeid_noparen_declarator : direct_typeid_noparen_declarator LBRACKET STATIC type_qualifier_list_opt assignment_expression RBRACKET\n | direct_typeid_noparen_declarator LBRACKET type_qualifier_list STATIC assignment_expression RBRACKET\n direct_typeid_noparen_declarator : direct_typeid_noparen_declarator LBRACKET type_qualifier_list_opt TIMES RBRACKET\n direct_typeid_noparen_declarator : direct_typeid_noparen_declarator LPAREN parameter_type_list RPAREN\n | direct_typeid_noparen_declarator LPAREN identifier_list_opt RPAREN\n id_declarator : direct_id_declarator\n id_declarator : pointer direct_id_declarator\n typeid_declarator : direct_typeid_declarator\n typeid_declarator : pointer direct_typeid_declarator\n typeid_noparen_declarator : direct_typeid_noparen_declarator\n typeid_noparen_declarator : pointer direct_typeid_noparen_declarator\n translation_unit_or_empty : translation_unit\n | empty\n translation_unit : external_declaration\n translation_unit : translation_unit external_declaration\n external_declaration : function_definition\n external_declaration : declaration\n external_declaration : pp_directive\n | pppragma_directive\n external_declaration : SEMI\n external_declaration : static_assert\n static_assert : _STATIC_ASSERT LPAREN constant_expression COMMA unified_string_literal RPAREN\n | _STATIC_ASSERT LPAREN constant_expression RPAREN\n pp_directive : PPHASH\n pppragma_directive : PPPRAGMA\n | PPPRAGMA PPPRAGMASTR\n function_definition : id_declarator declaration_list_opt compound_statement\n function_definition : declaration_specifiers id_declarator declaration_list_opt compound_statement\n statement : labeled_statement\n | expression_statement\n | compound_statement\n | selection_statement\n | iteration_statement\n | jump_statement\n | pppragma_directive\n | static_assert\n pragmacomp_or_statement : pppragma_directive statement\n | statement\n decl_body : declaration_specifiers init_declarator_list_opt\n | declaration_specifiers_no_type id_init_declarator_list_opt\n declaration : decl_body SEMI\n declaration_list : declaration\n | declaration_list declaration\n declaration_specifiers_no_type : type_qualifier declaration_specifiers_no_type_opt\n declaration_specifiers_no_type : storage_class_specifier declaration_specifiers_no_type_opt\n declaration_specifiers_no_type : function_specifier declaration_specifiers_no_type_opt\n declaration_specifiers_no_type : atomic_specifier declaration_specifiers_no_type_opt\n declaration_specifiers_no_type : alignment_specifier declaration_specifiers_no_type_opt\n declaration_specifiers : declaration_specifiers type_qualifier\n declaration_specifiers : declaration_specifiers storage_class_specifier\n declaration_specifiers : declaration_specifiers function_specifier\n declaration_specifiers : declaration_specifiers type_specifier_no_typeid\n declaration_specifiers : type_specifier\n declaration_specifiers : declaration_specifiers_no_type type_specifier\n declaration_specifiers : declaration_specifiers alignment_specifier\n storage_class_specifier : AUTO\n | REGISTER\n | STATIC\n | EXTERN\n | TYPEDEF\n | _THREAD_LOCAL\n function_specifier : INLINE\n | _NORETURN\n type_specifier_no_typeid : VOID\n | _BOOL\n | CHAR\n | SHORT\n | INT\n | LONG\n | FLOAT\n | DOUBLE\n | _COMPLEX\n | SIGNED\n | UNSIGNED\n | __INT128\n type_specifier : typedef_name\n | enum_specifier\n | struct_or_union_specifier\n | type_specifier_no_typeid\n | atomic_specifier\n atomic_specifier : _ATOMIC LPAREN type_name RPAREN\n type_qualifier : CONST\n | RESTRICT\n | VOLATILE\n | _ATOMIC\n init_declarator_list : init_declarator\n | init_declarator_list COMMA init_declarator\n init_declarator : declarator\n | declarator EQUALS initializer\n id_init_declarator_list : id_init_declarator\n | id_init_declarator_list COMMA init_declarator\n id_init_declarator : id_declarator\n | id_declarator EQUALS initializer\n specifier_qualifier_list : specifier_qualifier_list type_specifier_no_typeid\n specifier_qualifier_list : specifier_qualifier_list type_qualifier\n specifier_qualifier_list : type_specifier\n specifier_qualifier_list : type_qualifier_list type_specifier\n specifier_qualifier_list : alignment_specifier\n specifier_qualifier_list : specifier_qualifier_list alignment_specifier\n struct_or_union_specifier : struct_or_union ID\n | struct_or_union TYPEID\n struct_or_union_specifier : struct_or_union brace_open struct_declaration_list brace_close\n | struct_or_union brace_open brace_close\n struct_or_union_specifier : struct_or_union ID brace_open struct_declaration_list brace_close\n | struct_or_union ID brace_open brace_close\n | struct_or_union TYPEID brace_open struct_declaration_list brace_close\n | struct_or_union TYPEID brace_open brace_close\n struct_or_union : STRUCT\n | UNION\n struct_declaration_list : struct_declaration\n | struct_declaration_list struct_declaration\n struct_declaration : specifier_qualifier_list struct_declarator_list_opt SEMI\n struct_declaration : SEMI\n struct_declaration : pppragma_directive\n struct_declarator_list : struct_declarator\n | struct_declarator_list COMMA struct_declarator\n struct_declarator : declarator\n struct_declarator : declarator COLON constant_expression\n | COLON constant_expression\n enum_specifier : ENUM ID\n | ENUM TYPEID\n enum_specifier : ENUM brace_open enumerator_list brace_close\n enum_specifier : ENUM ID brace_open enumerator_list brace_close\n | ENUM TYPEID brace_open enumerator_list brace_close\n enumerator_list : enumerator\n | enumerator_list COMMA\n | enumerator_list COMMA enumerator\n alignment_specifier : _ALIGNAS LPAREN type_name RPAREN\n | _ALIGNAS LPAREN constant_expression RPAREN\n enumerator : ID\n | ID EQUALS constant_expression\n declarator : id_declarator\n | typeid_declarator\n pointer : TIMES type_qualifier_list_opt\n | TIMES type_qualifier_list_opt pointer\n type_qualifier_list : type_qualifier\n | type_qualifier_list type_qualifier\n parameter_type_list : parameter_list\n | parameter_list COMMA ELLIPSIS\n parameter_list : parameter_declaration\n | parameter_list COMMA parameter_declaration\n parameter_declaration : declaration_specifiers id_declarator\n | declaration_specifiers typeid_noparen_declarator\n parameter_declaration : declaration_specifiers abstract_declarator_opt\n identifier_list : identifier\n | identifier_list COMMA identifier\n initializer : assignment_expression\n initializer : brace_open initializer_list_opt brace_close\n | brace_open initializer_list COMMA brace_close\n initializer_list : designation_opt initializer\n | initializer_list COMMA designation_opt initializer\n designation : designator_list EQUALS\n designator_list : designator\n | designator_list designator\n designator : LBRACKET constant_expression RBRACKET\n | PERIOD identifier\n type_name : specifier_qualifier_list abstract_declarator_opt\n abstract_declarator : pointer\n abstract_declarator : pointer direct_abstract_declarator\n abstract_declarator : direct_abstract_declarator\n direct_abstract_declarator : LPAREN abstract_declarator RPAREN direct_abstract_declarator : direct_abstract_declarator LBRACKET assignment_expression_opt RBRACKET\n direct_abstract_declarator : LBRACKET type_qualifier_list_opt assignment_expression_opt RBRACKET\n direct_abstract_declarator : direct_abstract_declarator LBRACKET TIMES RBRACKET\n direct_abstract_declarator : LBRACKET TIMES RBRACKET\n direct_abstract_declarator : direct_abstract_declarator LPAREN parameter_type_list_opt RPAREN\n direct_abstract_declarator : LPAREN parameter_type_list_opt RPAREN\n block_item : declaration\n | statement\n block_item_list : block_item\n | block_item_list block_item\n compound_statement : brace_open block_item_list_opt brace_close labeled_statement : ID COLON pragmacomp_or_statement labeled_statement : CASE constant_expression COLON pragmacomp_or_statement labeled_statement : DEFAULT COLON pragmacomp_or_statement selection_statement : IF LPAREN expression RPAREN pragmacomp_or_statement selection_statement : IF LPAREN expression RPAREN statement ELSE pragmacomp_or_statement selection_statement : SWITCH LPAREN expression RPAREN pragmacomp_or_statement iteration_statement : WHILE LPAREN expression RPAREN pragmacomp_or_statement iteration_statement : DO pragmacomp_or_statement WHILE LPAREN expression RPAREN SEMI iteration_statement : FOR LPAREN expression_opt SEMI expression_opt SEMI expression_opt RPAREN pragmacomp_or_statement iteration_statement : FOR LPAREN declaration expression_opt SEMI expression_opt RPAREN pragmacomp_or_statement jump_statement : GOTO ID SEMI jump_statement : BREAK SEMI jump_statement : CONTINUE SEMI jump_statement : RETURN expression SEMI\n | RETURN SEMI\n expression_statement : expression_opt SEMI expression : assignment_expression\n | expression COMMA assignment_expression\n assignment_expression : LPAREN compound_statement RPAREN typedef_name : TYPEID assignment_expression : conditional_expression\n | unary_expression assignment_operator assignment_expression\n assignment_operator : EQUALS\n | XOREQUAL\n | TIMESEQUAL\n | DIVEQUAL\n | MODEQUAL\n | PLUSEQUAL\n | MINUSEQUAL\n | LSHIFTEQUAL\n | RSHIFTEQUAL\n | ANDEQUAL\n | OREQUAL\n constant_expression : conditional_expression conditional_expression : binary_expression\n | binary_expression CONDOP expression COLON conditional_expression\n binary_expression : cast_expression\n | binary_expression TIMES binary_expression\n | binary_expression DIVIDE binary_expression\n | binary_expression MOD binary_expression\n | binary_expression PLUS binary_expression\n | binary_expression MINUS binary_expression\n | binary_expression RSHIFT binary_expression\n | binary_expression LSHIFT binary_expression\n | binary_expression LT binary_expression\n | binary_expression LE binary_expression\n | binary_expression GE binary_expression\n | binary_expression GT binary_expression\n | binary_expression EQ binary_expression\n | binary_expression NE binary_expression\n | binary_expression AND binary_expression\n | binary_expression OR binary_expression\n | binary_expression XOR binary_expression\n | binary_expression LAND binary_expression\n | binary_expression LOR binary_expression\n cast_expression : unary_expression cast_expression : LPAREN type_name RPAREN cast_expression unary_expression : postfix_expression unary_expression : PLUSPLUS unary_expression\n | MINUSMINUS unary_expression\n | unary_operator cast_expression\n unary_expression : SIZEOF unary_expression\n | SIZEOF LPAREN type_name RPAREN\n | _ALIGNOF LPAREN type_name RPAREN\n unary_operator : AND\n | TIMES\n | PLUS\n | MINUS\n | NOT\n | LNOT\n postfix_expression : primary_expression postfix_expression : postfix_expression LBRACKET expression RBRACKET postfix_expression : postfix_expression LPAREN argument_expression_list RPAREN\n | postfix_expression LPAREN RPAREN\n postfix_expression : postfix_expression PERIOD ID\n | postfix_expression PERIOD TYPEID\n | postfix_expression ARROW ID\n | postfix_expression ARROW TYPEID\n postfix_expression : postfix_expression PLUSPLUS\n | postfix_expression MINUSMINUS\n postfix_expression : LPAREN type_name RPAREN brace_open initializer_list brace_close\n | LPAREN type_name RPAREN brace_open initializer_list COMMA brace_close\n primary_expression : identifier primary_expression : constant primary_expression : unified_string_literal\n | unified_wstring_literal\n primary_expression : LPAREN expression RPAREN primary_expression : OFFSETOF LPAREN type_name COMMA offsetof_member_designator RPAREN\n offsetof_member_designator : identifier\n | offsetof_member_designator PERIOD identifier\n | offsetof_member_designator LBRACKET expression RBRACKET\n argument_expression_list : assignment_expression\n | argument_expression_list COMMA assignment_expression\n identifier : ID constant : INT_CONST_DEC\n | INT_CONST_OCT\n | INT_CONST_HEX\n | INT_CONST_BIN\n | INT_CONST_CHAR\n constant : FLOAT_CONST\n | HEX_FLOAT_CONST\n constant : CHAR_CONST\n | WCHAR_CONST\n | U8CHAR_CONST\n | U16CHAR_CONST\n | U32CHAR_CONST\n unified_string_literal : STRING_LITERAL\n | unified_string_literal STRING_LITERAL\n unified_wstring_literal : WSTRING_LITERAL\n | U8STRING_LITERAL\n | U16STRING_LITERAL\n | U32STRING_LITERAL\n | unified_wstring_literal WSTRING_LITERAL\n | unified_wstring_literal U8STRING_LITERAL\n | unified_wstring_literal U16STRING_LITERAL\n | unified_wstring_literal U32STRING_LITERAL\n brace_open : LBRACE\n brace_close : RBRACE\n empty : ' _lr_action_items = 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_lr_action = {} for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'translation_unit_or_empty':([0,],[1,]),'translation_unit':([0,],[2,]),'empty':([0,11,12,20,21,22,25,26,29,33,68,69,70,72,93,94,99,126,134,135,179,180,189,206,213,218,239,253,254,255,318,319,347,354,356,365,367,443,444,450,452,453,465,476,481,492,504,505,519,520,521,523,552,555,563,565,575,577,],[3,65,82,97,97,97,105,97,112,97,82,105,97,65,112,185,97,217,112,185,303,112,316,339,316,353,353,387,303,112,448,112,448,353,353,353,353,112,185,303,303,448,353,353,527,527,303,112,353,353,353,353,353,527,353,353,353,353,]),'external_declaration':([0,2,],[4,63,]),'function_definition':([0,2,],[5,5,]),'declaration':([0,2,11,66,72,126,218,367,],[6,6,67,127,67,220,220,476,]),'pp_directive':([0,2,],[7,7,]),'pppragma_directive':([0,2,122,126,200,201,202,218,239,329,331,354,356,365,465,519,520,521,563,575,577,],[8,8,208,228,208,208,208,228,365,208,208,365,365,228,365,365,365,365,365,365,365,]),'static_assert':([0,2,126,218,239,354,356,365,465,519,520,521,563,575,577,],[10,10,229,229,229,229,229,229,229,229,229,229,229,229,229,]),'id_declarator':([0,2,12,17,25,68,69,81,132,189,191,206,318,461,],[11,11,72,92,109,128,109,92,128,311,128,128,92,128,]),'declaration_specifiers':([0,2,11,66,72,94,126,135,218,309,318,347,367,444,453,],[12,12,68,68,68,189,68,189,68,189,189,189,68,189,189,]),'decl_body':([0,2,11,66,72,126,218,367,],[13,13,13,13,13,13,13,13,]),'direct_id_declarator':([0,2,12,17,19,25,68,69,79,81,132,189,191,206,314,318,447,461,],[18,18,18,18,95,18,18,18,95,18,18,18,18,18,95,18,95,18,]),'pointer':([0,2,12,17,25,68,69,81,111,132,189,191,206,213,318,347,461,],[19,19,79,19,19,79,19,79,193,79,314,79,79,348,447,348,79,]),'type_qualifier':([0,2,11,12,20,21,22,26,29,33,66,68,70,72,93,94,99,113,122,123,124,126,134,135,136,180,181,189,200,201,202,206,210,213,218,235,255,256,290,294,295,300,309,318,319,329,331,347,367,443,444,453,505,506,],[20,20,20,73,20,20,20,20,114,20,20,73,20,20,114,20,20,194,114,114,114,20,114,20,114,114,194,73,114,114,114,337,194,337,20,114,114,194,114,114,114,114,20,20,114,114,114,20,20,114,20,20,114,194,]),'storage_class_specifier':([0,2,11,12,20,21,22,26,33,66,68,70,72,94,99,126,135,189,218,309,318,347,367,444,453,],[21,21,21,74,21,21,21,21,21,21,74,21,21,21,21,21,21,74,21,21,21,21,21,21,21,]),'function_specifier':([0,2,11,12,20,21,22,26,33,66,68,70,72,94,99,126,135,189,218,309,318,347,367,444,453,],[22,22,22,75,22,22,22,22,22,22,75,22,22,22,22,22,22,75,22,22,22,22,22,22,22,]),'type_specifier_no_typeid':([0,2,11,12,25,66,68,69,72,94,122,123,124,126,135,136,189,190,200,201,202,206,210,213,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[23,23,23,76,23,23,76,23,23,23,23,23,23,23,23,23,76,23,23,23,23,336,23,336,23,23,23,23,23,23,23,23,23,23,23,23,23,23,]),'type_specifier':([0,2,11,25,66,69,72,94,122,123,124,126,135,136,190,200,201,202,210,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[24,24,24,102,24,102,24,24,209,209,209,24,24,209,102,209,209,209,344,24,209,209,209,209,209,24,24,209,209,24,24,24,24,]),'declaration_specifiers_no_type':([0,2,11,20,21,22,26,33,66,70,72,94,99,126,135,218,309,318,347,367,444,453,],[25,25,69,98,98,98,98,98,69,98,69,190,98,69,190,69,190,190,190,69,190,190,]),'alignment_specifier':([0,2,11,12,20,21,22,26,33,66,68,70,72,94,99,122,123,124,126,135,136,189,200,201,202,206,213,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[26,26,26,77,26,26,26,26,26,26,77,26,26,26,26,211,211,211,26,26,211,77,211,211,211,338,338,26,211,211,211,211,211,26,26,211,211,26,26,26,26,]),'typedef_name':([0,2,11,25,66,69,72,94,122,123,124,126,135,136,190,200,201,202,210,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,]),'enum_specifier':([0,2,11,25,66,69,72,94,122,123,124,126,135,136,190,200,201,202,210,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,]),'struct_or_union_specifier':([0,2,11,25,66,69,72,94,122,123,124,126,135,136,190,200,201,202,210,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,]),'atomic_specifier':([0,2,11,20,21,22,25,26,33,66,69,70,72,94,99,122,123,124,126,135,136,190,200,201,202,210,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[33,33,70,99,99,99,104,99,99,70,104,99,70,33,99,104,104,104,70,33,104,104,104,104,104,104,70,104,104,104,104,104,33,33,104,104,33,70,33,33,]),'struct_or_union':([0,2,11,25,66,69,72,94,122,123,124,126,135,136,190,200,201,202,210,218,235,290,294,295,300,309,318,329,331,347,367,444,453,],[36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,]),'declaration_list_opt':([11,72,],[64,129,]),'declaration_list':([11,72,],[66,66,]),'init_declarator_list_opt':([12,68,],[78,78,]),'init_declarator_list':([12,68,],[83,83,]),'init_declarator':([12,68,132,191,],[84,84,250,322,]),'declarator':([12,68,132,191,206,461,],[85,85,85,85,342,342,]),'typeid_declarator':([12,68,81,132,191,206,461,],[86,86,131,86,86,86,86,]),'direct_typeid_declarator':([12,68,79,81,132,191,206,461,],[87,87,130,87,87,87,87,87,]),'declaration_specifiers_no_type_opt':([20,21,22,26,33,70,99,],[96,100,101,110,115,115,115,]),'id_init_declarator_list_opt':([25,69,],[103,103,]),'id_init_declarator_list':([25,69,],[106,106,]),'id_init_declarator':([25,69,],[108,108,]),'type_qualifier_list_opt':([29,93,134,180,255,319,443,505,],[111,179,254,305,396,450,504,538,]),'type_qualifier_list':([29,93,122,123,124,134,136,180,200,201,202,235,255,290,294,295,300,319,329,331,443,505,],[113,181,210,210,210,256,210,113,210,210,210,210,113,210,210,210,210,113,210,210,506,113,]),'brace_open':([35,36,64,116,117,120,121,126,129,133,192,218,235,239,354,356,365,388,400,465,469,498,499,519,520,521,526,563,575,577,],[118,122,126,195,196,200,201,126,126,253,253,126,126,126,126,126,126,253,492,126,492,492,492,126,126,126,253,126,126,126,]),'compound_statement':([64,126,129,218,235,239,354,356,365,465,519,520,521,563,575,577,],[125,224,248,224,359,224,224,224,224,224,224,224,224,224,224,224,]),'constant_expression':([91,124,231,328,343,392,462,],[137,215,355,457,463,485,517,]),'unified_string_literal':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,261,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,402,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,138,]),'conditional_expression':([91,124,126,133,136,179,192,218,231,235,239,244,254,264,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,450,452,462,465,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[139,139,246,246,246,246,246,246,139,246,246,246,246,246,246,246,246,246,246,246,139,139,246,246,246,246,246,246,246,246,246,246,139,246,246,246,246,139,246,246,532,246,246,246,246,246,246,246,246,246,246,246,246,246,246,246,246,]),'binary_expression':([91,124,126,133,136,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,450,452,462,465,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[140,140,140,140,140,140,140,140,140,140,140,140,140,140,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,140,]),'cast_expression':([91,124,126,133,136,150,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[141,141,141,141,141,292,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,491,141,141,141,141,491,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,141,]),'unary_expression':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[146,146,247,247,247,289,291,146,293,247,247,247,146,247,247,247,247,247,146,146,146,146,146,146,146,146,146,146,146,146,146,146,146,146,146,146,247,247,247,247,247,247,146,146,247,247,247,247,247,247,247,247,247,247,146,247,247,146,247,247,146,247,146,247,146,247,247,247,247,247,247,247,247,247,247,247,247,247,247,247,247,]),'postfix_expression':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,147,]),'unary_operator':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,150,]),'primary_expression':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,153,]),'identifier':([91,94,124,126,133,135,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,310,328,343,354,356,358,361,362,363,365,367,373,388,392,393,396,397,400,444,450,452,462,465,469,476,494,497,501,504,519,520,521,522,523,526,538,539,552,557,558,563,565,575,577,],[157,188,157,157,157,188,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,157,440,157,157,157,157,157,157,157,157,157,157,157,157,157,486,157,157,157,188,157,157,157,157,157,157,157,157,535,157,157,157,157,157,157,157,157,157,157,568,157,157,157,157,157,]),'constant':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,158,]),'unified_wstring_literal':([91,124,126,133,136,148,149,150,151,179,192,218,231,235,239,244,254,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,290,294,305,306,328,343,354,356,358,361,362,363,365,367,373,388,392,396,397,400,450,452,462,465,469,476,494,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,159,]),'parameter_type_list':([94,135,318,347,444,453,],[182,257,449,449,507,449,]),'identifier_list_opt':([94,135,444,],[183,258,508,]),'parameter_list':([94,135,318,347,444,453,],[184,184,184,184,184,184,]),'identifier_list':([94,135,444,],[186,186,186,]),'parameter_declaration':([94,135,309,318,347,444,453,],[187,187,439,187,187,187,187,]),'enumerator_list':([118,195,196,],[197,324,325,]),'enumerator':([118,195,196,327,],[198,198,198,456,]),'struct_declaration_list':([122,200,201,],[202,329,331,]),'brace_close':([122,197,200,201,202,216,324,325,329,331,385,481,531,555,],[203,326,330,332,333,351,454,455,458,459,480,525,554,567,]),'struct_declaration':([122,200,201,202,329,331,],[204,204,204,334,334,334,]),'specifier_qualifier_list':([122,123,124,136,200,201,202,235,290,294,295,300,329,331,],[206,213,213,213,206,206,206,213,213,213,213,213,206,206,]),'type_name':([123,124,136,235,290,294,295,300,],[212,214,259,360,430,431,432,433,]),'block_item_list_opt':([126,],[216,]),'block_item_list':([126,],[218,]),'block_item':([126,218,],[219,352,]),'statement':([126,218,239,354,356,365,465,519,520,521,563,575,577,],[221,221,366,366,366,474,366,547,366,366,366,366,366,]),'labeled_statement':([126,218,239,354,356,365,465,519,520,521,563,575,577,],[222,222,222,222,222,222,222,222,222,222,222,222,222,]),'expression_statement':([126,218,239,354,356,365,465,519,520,521,563,575,577,],[223,223,223,223,223,223,223,223,223,223,223,223,223,]),'selection_statement':([126,218,239,354,356,365,465,519,520,521,563,575,577,],[225,225,225,225,225,225,225,225,225,225,225,225,225,]),'iteration_statement':([126,218,239,354,356,365,465,519,520,521,563,575,577,],[226,226,226,226,226,226,226,226,226,226,226,226,226,]),'jump_statement':([126,218,239,354,356,365,465,519,520,521,563,575,577,],[227,227,227,227,227,227,227,227,227,227,227,227,227,]),'expression_opt':([126,218,239,354,356,365,367,465,476,519,520,521,523,552,563,565,575,577,],[233,233,233,233,233,233,475,233,524,233,233,233,551,566,233,574,233,233,]),'expression':([126,136,218,235,239,244,264,283,290,294,354,356,358,362,363,365,367,465,476,519,520,521,522,523,552,558,563,565,575,577,],[236,260,236,260,236,371,403,422,260,260,236,236,467,471,472,236,236,236,236,236,236,236,550,236,236,569,236,236,236,236,]),'assignment_expression':([126,133,136,179,192,218,235,239,244,254,264,283,284,290,294,305,306,354,356,358,361,362,363,365,367,373,388,396,397,450,452,465,476,497,504,519,520,521,522,523,526,538,539,552,558,563,565,575,577,],[245,252,245,304,252,245,245,245,245,304,245,245,425,245,245,436,437,245,245,245,470,245,245,245,245,479,252,489,490,304,304,245,245,533,304,245,245,245,245,245,252,561,562,245,245,245,245,245,245,]),'initializer':([133,192,388,526,],[251,323,482,553,]),'assignment_expression_opt':([179,254,450,452,504,],[301,394,511,513,536,]),'typeid_noparen_declarator':([189,],[312,]),'abstract_declarator_opt':([189,213,],[313,346,]),'direct_typeid_noparen_declarator':([189,314,],[315,441,]),'abstract_declarator':([189,213,318,347,],[317,317,445,445,]),'direct_abstract_declarator':([189,213,314,318,347,348,447,],[321,321,442,321,321,442,442,]),'struct_declarator_list_opt':([206,],[335,]),'struct_declarator_list':([206,],[340,]),'struct_declarator':([206,461,],[341,516,]),'pragmacomp_or_statement':([239,354,356,465,519,520,521,563,575,577,],[364,464,466,518,546,548,549,572,578,579,]),'assignment_operator':([247,],[373,]),'initializer_list_opt':([253,],[385,]),'initializer_list':([253,492,],[386,531,]),'designation_opt':([253,481,492,555,],[388,526,388,526,]),'designation':([253,481,492,555,],[389,389,389,389,]),'designator_list':([253,481,492,555,],[390,390,390,390,]),'designator':([253,390,481,492,555,],[391,484,391,391,391,]),'argument_expression_list':([284,],[423,]),'parameter_type_list_opt':([318,347,453,],[446,446,515,]),'offsetof_member_designator':([501,],[534,]),} _lr_goto = {} for _k, _v in _lr_goto_items.items(): for _x, _y in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> translation_unit_or_empty","S'",1,None,None,None), ('abstract_declarator_opt -> empty','abstract_declarator_opt',1,'p_abstract_declarator_opt','plyparser.py',43), ('abstract_declarator_opt -> abstract_declarator','abstract_declarator_opt',1,'p_abstract_declarator_opt','plyparser.py',44), ('assignment_expression_opt -> empty','assignment_expression_opt',1,'p_assignment_expression_opt','plyparser.py',43), ('assignment_expression_opt -> assignment_expression','assignment_expression_opt',1,'p_assignment_expression_opt','plyparser.py',44), ('block_item_list_opt -> empty','block_item_list_opt',1,'p_block_item_list_opt','plyparser.py',43), ('block_item_list_opt -> block_item_list','block_item_list_opt',1,'p_block_item_list_opt','plyparser.py',44), ('declaration_list_opt -> empty','declaration_list_opt',1,'p_declaration_list_opt','plyparser.py',43), ('declaration_list_opt -> declaration_list','declaration_list_opt',1,'p_declaration_list_opt','plyparser.py',44), ('declaration_specifiers_no_type_opt -> empty','declaration_specifiers_no_type_opt',1,'p_declaration_specifiers_no_type_opt','plyparser.py',43), ('declaration_specifiers_no_type_opt -> declaration_specifiers_no_type','declaration_specifiers_no_type_opt',1,'p_declaration_specifiers_no_type_opt','plyparser.py',44), ('designation_opt -> empty','designation_opt',1,'p_designation_opt','plyparser.py',43), ('designation_opt -> designation','designation_opt',1,'p_designation_opt','plyparser.py',44), ('expression_opt -> empty','expression_opt',1,'p_expression_opt','plyparser.py',43), ('expression_opt -> expression','expression_opt',1,'p_expression_opt','plyparser.py',44), ('id_init_declarator_list_opt -> empty','id_init_declarator_list_opt',1,'p_id_init_declarator_list_opt','plyparser.py',43), ('id_init_declarator_list_opt -> id_init_declarator_list','id_init_declarator_list_opt',1,'p_id_init_declarator_list_opt','plyparser.py',44), ('identifier_list_opt -> empty','identifier_list_opt',1,'p_identifier_list_opt','plyparser.py',43), ('identifier_list_opt -> identifier_list','identifier_list_opt',1,'p_identifier_list_opt','plyparser.py',44), ('init_declarator_list_opt -> empty','init_declarator_list_opt',1,'p_init_declarator_list_opt','plyparser.py',43), ('init_declarator_list_opt -> init_declarator_list','init_declarator_list_opt',1,'p_init_declarator_list_opt','plyparser.py',44), ('initializer_list_opt -> empty','initializer_list_opt',1,'p_initializer_list_opt','plyparser.py',43), ('initializer_list_opt -> initializer_list','initializer_list_opt',1,'p_initializer_list_opt','plyparser.py',44), ('parameter_type_list_opt -> empty','parameter_type_list_opt',1,'p_parameter_type_list_opt','plyparser.py',43), ('parameter_type_list_opt -> parameter_type_list','parameter_type_list_opt',1,'p_parameter_type_list_opt','plyparser.py',44), ('struct_declarator_list_opt -> empty','struct_declarator_list_opt',1,'p_struct_declarator_list_opt','plyparser.py',43), ('struct_declarator_list_opt -> struct_declarator_list','struct_declarator_list_opt',1,'p_struct_declarator_list_opt','plyparser.py',44), ('type_qualifier_list_opt -> empty','type_qualifier_list_opt',1,'p_type_qualifier_list_opt','plyparser.py',43), ('type_qualifier_list_opt -> type_qualifier_list','type_qualifier_list_opt',1,'p_type_qualifier_list_opt','plyparser.py',44), ('direct_id_declarator -> ID','direct_id_declarator',1,'p_direct_id_declarator_1','plyparser.py',126), ('direct_id_declarator -> LPAREN id_declarator RPAREN','direct_id_declarator',3,'p_direct_id_declarator_2','plyparser.py',126), ('direct_id_declarator -> direct_id_declarator LBRACKET type_qualifier_list_opt assignment_expression_opt 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54a6b3ea6d72bd69d6b03fd24a416abf39794666

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py

Python

modules/relay/__init__.py

ffroehling/fuse_module_driver_framework

e5805fb52fee41de3be1a2369106ddbf79cdbdd8

[ "MIT" ]

null

modules/relay/__init__.py

ffroehling/fuse_module_driver_framework

e5805fb52fee41de3be1a2369106ddbf79cdbdd8

[ "MIT" ]

null

modules/relay/__init__.py

ffroehling/fuse_module_driver_framework

e5805fb52fee41de3be1a2369106ddbf79cdbdd8

[ "MIT" ]

null

from . import relay as module

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0

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54b9146165b15d35ab20c030f7f09ea85818371a

33,283

py

Python

cottonformation/res/connect.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

5

2021-07-22T03:45:59.000Z

2021-12-17T21:07:14.000Z

cottonformation/res/connect.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

1

2021-06-25T18:01:31.000Z

cottonformation/res/connect.py

MacHu-GWU/cottonformation-project

23e28c08cfb5a7cc0db6dbfdb1d7e1585c773f3b

[ "BSD-2-Clause" ]

2

2021-06-27T03:08:21.000Z

2021-06-28T22:15:51.000Z

# -*- coding: utf-8 -*- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class PropUserUserIdentityInfo(Property): """ AWS Object Type = "AWS::Connect::User.UserIdentityInfo" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html Property Document: - ``p_Email``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html#cfn-connect-user-useridentityinfo-email - ``p_FirstName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html#cfn-connect-user-useridentityinfo-firstname - ``p_LastName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html#cfn-connect-user-useridentityinfo-lastname """ AWS_OBJECT_TYPE = "AWS::Connect::User.UserIdentityInfo" p_Email: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Email"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html#cfn-connect-user-useridentityinfo-email""" p_FirstName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "FirstName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html#cfn-connect-user-useridentityinfo-firstname""" p_LastName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "LastName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-useridentityinfo.html#cfn-connect-user-useridentityinfo-lastname""" @attr.s class PropQuickConnectQueueQuickConnectConfig(Property): """ AWS Object Type = "AWS::Connect::QuickConnect.QueueQuickConnectConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-queuequickconnectconfig.html Property Document: - ``rp_ContactFlowArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-queuequickconnectconfig.html#cfn-connect-quickconnect-queuequickconnectconfig-contactflowarn - ``rp_QueueArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-queuequickconnectconfig.html#cfn-connect-quickconnect-queuequickconnectconfig-queuearn """ AWS_OBJECT_TYPE = "AWS::Connect::QuickConnect.QueueQuickConnectConfig" rp_ContactFlowArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ContactFlowArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-queuequickconnectconfig.html#cfn-connect-quickconnect-queuequickconnectconfig-contactflowarn""" rp_QueueArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "QueueArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-queuequickconnectconfig.html#cfn-connect-quickconnect-queuequickconnectconfig-queuearn""" @attr.s class PropQuickConnectUserQuickConnectConfig(Property): """ AWS Object Type = "AWS::Connect::QuickConnect.UserQuickConnectConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-userquickconnectconfig.html Property Document: - ``rp_ContactFlowArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-userquickconnectconfig.html#cfn-connect-quickconnect-userquickconnectconfig-contactflowarn - ``rp_UserArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-userquickconnectconfig.html#cfn-connect-quickconnect-userquickconnectconfig-userarn """ AWS_OBJECT_TYPE = "AWS::Connect::QuickConnect.UserQuickConnectConfig" rp_ContactFlowArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ContactFlowArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-userquickconnectconfig.html#cfn-connect-quickconnect-userquickconnectconfig-contactflowarn""" rp_UserArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "UserArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-userquickconnectconfig.html#cfn-connect-quickconnect-userquickconnectconfig-userarn""" @attr.s class PropUserUserPhoneConfig(Property): """ AWS Object Type = "AWS::Connect::User.UserPhoneConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html Property Document: - ``rp_PhoneType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-phonetype - ``p_AfterContactWorkTimeLimit``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-aftercontactworktimelimit - ``p_AutoAccept``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-autoaccept - ``p_DeskPhoneNumber``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-deskphonenumber """ AWS_OBJECT_TYPE = "AWS::Connect::User.UserPhoneConfig" rp_PhoneType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "PhoneType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-phonetype""" p_AfterContactWorkTimeLimit: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "AfterContactWorkTimeLimit"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-aftercontactworktimelimit""" p_AutoAccept: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "AutoAccept"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-autoaccept""" p_DeskPhoneNumber: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DeskPhoneNumber"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-user-userphoneconfig.html#cfn-connect-user-userphoneconfig-deskphonenumber""" @attr.s class PropQuickConnectPhoneNumberQuickConnectConfig(Property): """ AWS Object Type = "AWS::Connect::QuickConnect.PhoneNumberQuickConnectConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-phonenumberquickconnectconfig.html Property Document: - ``rp_PhoneNumber``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-phonenumberquickconnectconfig.html#cfn-connect-quickconnect-phonenumberquickconnectconfig-phonenumber """ AWS_OBJECT_TYPE = "AWS::Connect::QuickConnect.PhoneNumberQuickConnectConfig" rp_PhoneNumber: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "PhoneNumber"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-phonenumberquickconnectconfig.html#cfn-connect-quickconnect-phonenumberquickconnectconfig-phonenumber""" @attr.s class PropHoursOfOperationHoursOfOperationTimeSlice(Property): """ AWS Object Type = "AWS::Connect::HoursOfOperation.HoursOfOperationTimeSlice" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationtimeslice.html Property Document: - ``rp_Hours``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationtimeslice.html#cfn-connect-hoursofoperation-hoursofoperationtimeslice-hours - ``rp_Minutes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationtimeslice.html#cfn-connect-hoursofoperation-hoursofoperationtimeslice-minutes """ AWS_OBJECT_TYPE = "AWS::Connect::HoursOfOperation.HoursOfOperationTimeSlice" rp_Hours: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "Hours"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationtimeslice.html#cfn-connect-hoursofoperation-hoursofoperationtimeslice-hours""" rp_Minutes: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "Minutes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationtimeslice.html#cfn-connect-hoursofoperation-hoursofoperationtimeslice-minutes""" @attr.s class PropHoursOfOperationHoursOfOperationConfig(Property): """ AWS Object Type = "AWS::Connect::HoursOfOperation.HoursOfOperationConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html Property Document: - ``rp_Day``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html#cfn-connect-hoursofoperation-hoursofoperationconfig-day - ``rp_EndTime``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html#cfn-connect-hoursofoperation-hoursofoperationconfig-endtime - ``rp_StartTime``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html#cfn-connect-hoursofoperation-hoursofoperationconfig-starttime """ AWS_OBJECT_TYPE = "AWS::Connect::HoursOfOperation.HoursOfOperationConfig" rp_Day: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Day"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html#cfn-connect-hoursofoperation-hoursofoperationconfig-day""" rp_EndTime: typing.Union['PropHoursOfOperationHoursOfOperationTimeSlice', dict] = attr.ib( default=None, converter=PropHoursOfOperationHoursOfOperationTimeSlice.from_dict, validator=attr.validators.instance_of(PropHoursOfOperationHoursOfOperationTimeSlice), metadata={AttrMeta.PROPERTY_NAME: "EndTime"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html#cfn-connect-hoursofoperation-hoursofoperationconfig-endtime""" rp_StartTime: typing.Union['PropHoursOfOperationHoursOfOperationTimeSlice', dict] = attr.ib( default=None, converter=PropHoursOfOperationHoursOfOperationTimeSlice.from_dict, validator=attr.validators.instance_of(PropHoursOfOperationHoursOfOperationTimeSlice), metadata={AttrMeta.PROPERTY_NAME: "StartTime"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-hoursofoperation-hoursofoperationconfig.html#cfn-connect-hoursofoperation-hoursofoperationconfig-starttime""" @attr.s class PropQuickConnectQuickConnectConfig(Property): """ AWS Object Type = "AWS::Connect::QuickConnect.QuickConnectConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html Property Document: - ``rp_QuickConnectType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-quickconnecttype - ``p_PhoneConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-phoneconfig - ``p_QueueConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-queueconfig - ``p_UserConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-userconfig """ AWS_OBJECT_TYPE = "AWS::Connect::QuickConnect.QuickConnectConfig" rp_QuickConnectType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "QuickConnectType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-quickconnecttype""" p_PhoneConfig: typing.Union['PropQuickConnectPhoneNumberQuickConnectConfig', dict] = attr.ib( default=None, converter=PropQuickConnectPhoneNumberQuickConnectConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropQuickConnectPhoneNumberQuickConnectConfig)), metadata={AttrMeta.PROPERTY_NAME: "PhoneConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-phoneconfig""" p_QueueConfig: typing.Union['PropQuickConnectQueueQuickConnectConfig', dict] = attr.ib( default=None, converter=PropQuickConnectQueueQuickConnectConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropQuickConnectQueueQuickConnectConfig)), metadata={AttrMeta.PROPERTY_NAME: "QueueConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-queueconfig""" p_UserConfig: typing.Union['PropQuickConnectUserQuickConnectConfig', dict] = attr.ib( default=None, converter=PropQuickConnectUserQuickConnectConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropQuickConnectUserQuickConnectConfig)), metadata={AttrMeta.PROPERTY_NAME: "UserConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-connect-quickconnect-quickconnectconfig.html#cfn-connect-quickconnect-quickconnectconfig-userconfig""" #--- Resource declaration --- @attr.s class QuickConnect(Resource): """ AWS Object Type = "AWS::Connect::QuickConnect" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html Property Document: - ``rp_InstanceArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-instancearn - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-name - ``rp_QuickConnectConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-quickconnectconfig - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-description - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-tags """ AWS_OBJECT_TYPE = "AWS::Connect::QuickConnect" rp_InstanceArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "InstanceArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-instancearn""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-name""" rp_QuickConnectConfig: typing.Union['PropQuickConnectQuickConnectConfig', dict] = attr.ib( default=None, converter=PropQuickConnectQuickConnectConfig.from_dict, validator=attr.validators.instance_of(PropQuickConnectQuickConnectConfig), metadata={AttrMeta.PROPERTY_NAME: "QuickConnectConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-quickconnectconfig""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-description""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#cfn-connect-quickconnect-tags""" @property def rv_QuickConnectArn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-quickconnect.html#aws-resource-connect-quickconnect-return-values""" return GetAtt(resource=self, attr_name="QuickConnectArn") @attr.s class HoursOfOperation(Resource): """ AWS Object Type = "AWS::Connect::HoursOfOperation" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html Property Document: - ``rp_Config``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-config - ``rp_InstanceArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-instancearn - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-name - ``rp_TimeZone``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-timezone - ``p_Description``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-description - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-tags """ AWS_OBJECT_TYPE = "AWS::Connect::HoursOfOperation" rp_Config: typing.List[typing.Union['PropHoursOfOperationHoursOfOperationConfig', dict]] = attr.ib( default=None, converter=PropHoursOfOperationHoursOfOperationConfig.from_list, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(PropHoursOfOperationHoursOfOperationConfig), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "Config"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-config""" rp_InstanceArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "InstanceArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-instancearn""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-name""" rp_TimeZone: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "TimeZone"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-timezone""" p_Description: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Description"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-description""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#cfn-connect-hoursofoperation-tags""" @property def rv_HoursOfOperationArn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-hoursofoperation.html#aws-resource-connect-hoursofoperation-return-values""" return GetAtt(resource=self, attr_name="HoursOfOperationArn") @attr.s class UserHierarchyGroup(Resource): """ AWS Object Type = "AWS::Connect::UserHierarchyGroup" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html Property Document: - ``rp_InstanceArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#cfn-connect-userhierarchygroup-instancearn - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#cfn-connect-userhierarchygroup-name - ``p_ParentGroupArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#cfn-connect-userhierarchygroup-parentgrouparn """ AWS_OBJECT_TYPE = "AWS::Connect::UserHierarchyGroup" rp_InstanceArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "InstanceArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#cfn-connect-userhierarchygroup-instancearn""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#cfn-connect-userhierarchygroup-name""" p_ParentGroupArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ParentGroupArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#cfn-connect-userhierarchygroup-parentgrouparn""" @property def rv_UserHierarchyGroupArn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-userhierarchygroup.html#aws-resource-connect-userhierarchygroup-return-values""" return GetAtt(resource=self, attr_name="UserHierarchyGroupArn") @attr.s class User(Resource): """ AWS Object Type = "AWS::Connect::User" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html Property Document: - ``rp_InstanceArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-instancearn - ``rp_PhoneConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-phoneconfig - ``rp_RoutingProfileArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-routingprofilearn - ``rp_SecurityProfileArns``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-securityprofilearns - ``rp_Username``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-username - ``p_DirectoryUserId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-directoryuserid - ``p_HierarchyGroupArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-hierarchygrouparn - ``p_IdentityInfo``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-identityinfo - ``p_Password``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-password - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-tags """ AWS_OBJECT_TYPE = "AWS::Connect::User" rp_InstanceArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "InstanceArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-instancearn""" rp_PhoneConfig: typing.Union['PropUserUserPhoneConfig', dict] = attr.ib( default=None, converter=PropUserUserPhoneConfig.from_dict, validator=attr.validators.instance_of(PropUserUserPhoneConfig), metadata={AttrMeta.PROPERTY_NAME: "PhoneConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-phoneconfig""" rp_RoutingProfileArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "RoutingProfileArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-routingprofilearn""" rp_SecurityProfileArns: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "SecurityProfileArns"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-securityprofilearns""" rp_Username: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Username"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-username""" p_DirectoryUserId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "DirectoryUserId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-directoryuserid""" p_HierarchyGroupArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "HierarchyGroupArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-hierarchygrouparn""" p_IdentityInfo: typing.Union['PropUserUserIdentityInfo', dict] = attr.ib( default=None, converter=PropUserUserIdentityInfo.from_dict, validator=attr.validators.optional(attr.validators.instance_of(PropUserUserIdentityInfo)), metadata={AttrMeta.PROPERTY_NAME: "IdentityInfo"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-identityinfo""" p_Password: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Password"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-password""" p_Tags: typing.List[typing.Union[Tag, dict]] = attr.ib( default=None, converter=Tag.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(Tag), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#cfn-connect-user-tags""" @property def rv_UserArn(self) -> GetAtt: """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-connect-user.html#aws-resource-connect-user-return-values""" return GetAtt(resource=self, attr_name="UserArn")

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null

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null

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6

49ac893e19b5d78522118a5eae937e8eb1cb7d8b

186

py

Python

huskar_api/models/infra/__init__.py

mowangdk/huskar

7692fbc5672a5ae6e2a33616c493466a7137f8cd

[ "MIT" ]

59

2019-10-31T10:50:10.000Z

2021-11-26T04:32:25.000Z

huskar_api/models/infra/__init__.py

mowangdk/huskar

7692fbc5672a5ae6e2a33616c493466a7137f8cd

[ "MIT" ]

5

2019-10-31T10:37:30.000Z

2020-03-02T06:45:46.000Z

huskar_api/models/infra/__init__.py

mowangdk/huskar

7692fbc5672a5ae6e2a33616c493466a7137f8cd

[ "MIT" ]

9

2019-10-31T10:35:00.000Z

2019-12-01T14:13:58.000Z

from __future__ import absolute_import from .downstream import InfraDownstream from .utils import extract_application_names __all__ = ['extract_application_names', 'InfraDownstream']

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null

0

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1

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6

49b13de44c938876f497a35fe393936282bd886b

6,948

py

Python

savu/test/jenkins/dawn_runner_tests/i08_pymca_runner_test.py

malte-storm/Savu

16291e8a22464c50c511af01fbc648860c1236e6

[ "Apache-2.0" ]

1

2021-04-18T09:30:54.000Z

savu/test/jenkins/dawn_runner_tests/i08_pymca_runner_test.py

malte-storm/Savu

16291e8a22464c50c511af01fbc648860c1236e6

[ "Apache-2.0" ]

null

savu/test/jenkins/dawn_runner_tests/i08_pymca_runner_test.py

malte-storm/Savu

16291e8a22464c50c511af01fbc648860c1236e6

[ "Apache-2.0" ]

1

2021-05-20T16:31:29.000Z

# Copyright 2014 Diamond Light Source Ltd. # # 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. """ .. module:: nx_xrd_loader_test :platform: Unix :synopsis: testing the nx_xrd loader .. moduleauthor:: Aaron Parsons <scientificsoftware@diamond.ac.uk> """ import unittest from savu.test import test_utils as tu from scripts.dawn_runner import run_savu import h5py as h5 import os import scripts.config_generator.config_utils as cu import savu.plugins.utils as pu from savu.plugins.utils import dawn_plugins import threading class I08PymcaRunnerTest(unittest.TestCase): ''' This test runs and checks the savu-side code for the runner in dawn. The rest should just be GUI ''' def runSavu(self, path2plugin, params, metaOnly, inputs): ''' this is copy paste of how it is implemented in org.dawnsci.python.rpc source code. ''' print("running savu") result = run_savu.runSavu(path2plugin, params, metaOnly, inputs, self.persistence) print("done") return result def test_i08(self): cu.populate_plugins() data_file = tu.get_test_big_data_path('pymca_live_processing_test/i08-10471.nxs') data = h5.File(data_file,'r')['/entry/xmapMca/data'] inputs = {} inputs['data'] = data[0,0,0,:] inputs['dataset_name'] = '' inputs['xaxis_title'] = None metaOnly = True self.persistence = {} self.persistence['sys_path_0_lock'] = threading.Lock() self.persistence['sys_path_0_set'] = False self.persistence['plugin_object'] = None self.persistence['axis_labels'] = None self.persistence['axis_values'] = None self.persistence['string_key'] = None self.persistence['parameters'] = None self.persistence['aux'] = {} params={} params['config']={} params['config']['value'] = tu.get_test_big_data_path('pymca_live_processing_test/10471.cfg') path2plugin = pu.dawn_plugins['Pymca']['path2plugin']# set by dawn-side code self.runSavu(path2plugin, params, metaOnly, inputs) def test_i08_REGRESSION(self): cu.populate_plugins() data_file = h5.File(tu.get_test_big_data_path('pymca_live_processing_test/dawn_test_result/result.nxs'),'r') data = data_file['/raw_entry/xmapMca/data'] inputs = {} inputs['dataset_name'] = '' inputs['xaxis_title'] = None metaOnly = True self.persistence = {} self.persistence['sys_path_0_lock'] = threading.Lock() self.persistence['sys_path_0_set'] = False self.persistence['plugin_object'] = None self.persistence['axis_labels'] = None self.persistence['axis_values'] = None self.persistence['string_key'] = None self.persistence['parameters'] = None self.persistence['aux'] = {} params={} params['config']={} params['config']['value'] = tu.get_test_big_data_path('pymca_live_processing_test/10471.cfg') path2plugin = pu.dawn_plugins['Pymca']['path2plugin']# set by dawn-side code pts = [(39,51), (45,25), (18,29), (37,96), (8,110)] # just do 5 points for now, is full regression necessary? for y,x in pts: inputs['data'] = data[x,y,0,:] out = self.runSavu(path2plugin, params, metaOnly, inputs) aux = out['auxiliary'] entry = 'entry/auxiliary/0-Python Script - Savu/' for key in aux.keys(): print(key,x,y) foo=data_file[entry+key+'/data'][x,y] self.assertAlmostEqual(aux[key],foo,delta=0.5) def test_i08_notaux(self): cu.populate_plugins() data_file = tu.get_test_big_data_path('pymca_live_processing_test/i08-10471.nxs') data = h5.File(data_file,'r')['/entry/xmapMca/data'] inputs = {} inputs['data'] = data[0,0,0,:] inputs['dataset_name'] = '' inputs['xaxis_title'] = None metaOnly = False self.persistence = {} self.persistence['sys_path_0_lock'] = threading.Lock() self.persistence['sys_path_0_set'] = False self.persistence['plugin_object'] = None self.persistence['axis_labels'] = None self.persistence['axis_values'] = None self.persistence['string_key'] = None self.persistence['parameters'] = None self.persistence['aux'] = {} params={} params['config']={} params['config']['value'] = tu.get_test_big_data_path('pymca_live_processing_test/10471.cfg') path2plugin = pu.dawn_plugins['Pymca']['path2plugin']# set by dawn-side code self.runSavu(path2plugin, params, metaOnly, inputs) def test_i08_notaux_REGRESSION(self): cu.populate_plugins() data_file = h5.File(tu.get_test_big_data_path('pymca_live_processing_test/dawn_test_result/result.nxs'),'r') data = data_file['/raw_entry/xmapMca/data'] inputs = {} inputs['dataset_name'] = '' inputs['xaxis_title'] = None metaOnly = True self.persistence = {} self.persistence['sys_path_0_lock'] = threading.Lock() self.persistence['sys_path_0_set'] = False self.persistence['plugin_object'] = None self.persistence['axis_labels'] = None self.persistence['axis_values'] = None self.persistence['string_key'] = None self.persistence['parameters'] = None self.persistence['aux'] = {} params={} params['config']={} params['config']['value'] = tu.get_test_big_data_path('pymca_live_processing_test/10471.cfg') path2plugin = pu.dawn_plugins['Pymca']['path2plugin']# set by dawn-side code pts = [(39,51), (45,25), (18,29), (37,96), (8,110)] # just do 5 points for now, is full regression necessary? for y,x in pts: inputs['data'] = data[x,y,0,:] out = self.runSavu(path2plugin, params, metaOnly, inputs) aux = out['auxiliary'] entry = 'entry/auxiliary/0-Python Script - Savu/' for key in aux.keys(): print(key,x,y) foo=data_file[entry+key+'/data'][x,y] self.assertAlmostEqual(aux[key],foo,delta=0.5) if __name__ == "__main__": unittest.main()

40.395349

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49fdbc0b878f5006c0dadae8f786c822fa71b599

93

py

Python

blinkwink/bookmark/__init__.py

imajunryou/blinkwink

5facec23d9b79c84004243f68ca26b651bca368d

[ "MIT" ]

null

blinkwink/bookmark/__init__.py

imajunryou/blinkwink

5facec23d9b79c84004243f68ca26b651bca368d

[ "MIT" ]

2

2019-04-19T06:19:29.000Z

2019-06-10T05:26:06.000Z

blinkwink/bookmark/__init__.py

imajunryou/blinkwink

5facec23d9b79c84004243f68ca26b651bca368d

[ "MIT" ]

null

from flask import Blueprint bookmark = Blueprint("bookmark", __name__) from . import views

15.5

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6

b729d784acb7b5e4e6369b12b1d27c56f61dc22c

42

py

Python

books/python-3-oop-packt/Chapter12/12_06_simplestpytest.py

phiratio/lpthw

a32240d4355fb331805d515f96e1d009914e5c47

[ "MIT" ]

73

2016-09-15T23:07:04.000Z

2022-03-05T15:09:48.000Z

books/python-3-oop-packt/Chapter12/12_06_simplestpytest.py

phiratio/lpthw

a32240d4355fb331805d515f96e1d009914e5c47

[ "MIT" ]

34

2019-12-16T16:53:24.000Z

2022-01-13T02:29:30.000Z

books/python-3-oop-packt/Chapter12/12_06_simplestpytest.py

phiratio/lpthw

a32240d4355fb331805d515f96e1d009914e5c47

[ "MIT" ]

51

2016-10-07T20:47:51.000Z

2021-12-22T21:00:24.000Z

def test_int_float(): assert 1 == 1.0

14

21

0.619048

8

42

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0.875

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0.238095

42

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21

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true

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null

0

1

0

1

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6

3f7ec1336b090839622ac17edd25ba0bc9ce3f3c

146

py

Python

facebook_hateful_memes_detector/models/MultiModal/__init__.py

faizanahemad/facebook-hateful-memes

1f7febf65f5fc4ed4aeb476d5383437f677fbc19

[ "MIT" ]

9

2020-07-28T20:33:04.000Z

2022-01-28T16:51:40.000Z

facebook_hateful_memes_detector/models/MultiModal/__init__.py

faizanahemad/facebook-hateful-memes

1f7febf65f5fc4ed4aeb476d5383437f677fbc19

[ "MIT" ]

3

2021-06-08T21:36:37.000Z

2021-09-08T02:03:07.000Z

facebook_hateful_memes_detector/models/MultiModal/__init__.py

faizanahemad/facebook-hateful-memes

1f7febf65f5fc4ed4aeb476d5383437f677fbc19

[ "MIT" ]

1

2020-08-26T08:13:25.000Z

from .VilBertVisualBert import VilBertVisualBertModel from .VilBertVisualBertV2 import VilBertVisualBertModelV2, MLMSimCLR, MLMOnlyV2, make_plots

48.666667

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10.75

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146

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null

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0

1

0

1

0

6

b206220572a6f5f52b27fcba826eabd9038e1bc7

32

py

Python

tests/test_app.py

bomodot/software

6547d98d57119eff0e9a8e5b65be41dbe68867f5

[ "MIT" ]

null

tests/test_app.py

bomodot/software

6547d98d57119eff0e9a8e5b65be41dbe68867f5

[ "MIT" ]

null

tests/test_app.py

bomodot/software

6547d98d57119eff0e9a8e5b65be41dbe68867f5

[ "MIT" ]

null

def test_run(): assert True

10.666667

15

0.65625

5

32

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32

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16

0.833333

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0.5

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0.5

true

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0

1

0

null

0

1

0

1

0

6

b761b73d4dd75706d1a7c1de20ea372c97d167d9

8,820

py

Python

dynamodb/profile_dynamo.py

nikhilphatak1/datastore-profiling

d20a3d9959d8a220fa405a7ec741dc54b0abcaad

[ "MIT" ]

null

dynamodb/profile_dynamo.py

nikhilphatak1/datastore-profiling

d20a3d9959d8a220fa405a7ec741dc54b0abcaad

[ "MIT" ]

null

dynamodb/profile_dynamo.py

nikhilphatak1/datastore-profiling

d20a3d9959d8a220fa405a7ec741dc54b0abcaad

[ "MIT" ]

1

2020-03-12T16:04:59.000Z

import boto3 import numpy as np import time import matplotlib.pyplot as plt # docker run -p 8000:8000 -v $(pwd)/local/dynamodb:/data/ amazon/dynamodb-local -jar DynamoDBLocal.jar -sharedDb -dbPath /data def main(): dynamodb=boto3.client( 'dynamodb', endpoint_url='http://localhost:8000', aws_access_key_id='foo', aws_secret_access_key='bar', verify=False ) try: dynamodb.delete_table(TableName='values') except dynamodb.exceptions.ResourceNotFoundException: print("Table does not exist yet, creating...") resource = boto3.resource( 'dynamodb', endpoint_url='http://localhost:8000', aws_access_key_id='foo', aws_secret_access_key='bar', verify=False ) t = resource.Table('values') dynamodb.create_table( TableName='values', KeySchema=[ { 'AttributeName': 'key', 'KeyType': 'HASH' } ], AttributeDefinitions=[ { 'AttributeName': 'key', 'AttributeType': 'S' } ], ProvisionedThroughput={ 'ReadCapacityUnits': 5, 'WriteCapacityUnits': 5 } ) # # Test job size vs job time N = 1000 memory_set = {} memory_get = {} time_table_set = {} time_table_get = {} time_complete_set = {} time_complete_get = {} # memory issues around size 256 ... # 9 array_sizes = 2**np.arange(9) for size in array_sizes: print("size {}".format(size**2 * 8)) t_set = [] t_get = [] t_set_complete = [] t_get_complete =[] # store values for i in range(N): #t_start = r.time() t_start = time.time_ns() key = "{0:015b}".format(i) x = np.random.uniform(0,1,size=(size,size)) #r.set(key,x.tobytes()) t.put_item(Item={'key': key}) #t_end = r.time() t_end = time.time_ns() #job_time = (t_end[0] + t_end[1]*1e-6)-(t_start[0] + t_start[1]*1e-6) job_time = t_end - t_start t_set.append(job_time) #t_set_complete.append(t_end[0] + t_end[1]*1e-6) t_set_complete.append(t_end) # get values for i in range(N): #t_start = r.time() t_start = time.time_ns() key = "{0:015b}".format(i) #r.get(key) t.get_item(Key={'key': key}) #t_end = r.time() t_end = time.time_ns() #job_time = (t_end[0] + t_end[1]*1e-6)-(t_start[0] + t_start[1]*1e-6) job_time = t_end - t_start t_get.append(job_time) #t_get_complete.append(t_end[0] + t_end[1]*1e-6) t_set_complete.append(t_end) #breakpoint() # clear keys for i in range(N): #r.delete("{0:015b}".format(i)) t.delete_item(Key={'key': "{0:015b}".format(i)}) memory_set[str(size**2 * 8)] = np.mean(t_set) time_table_set[str(size**2 * 8)] = t_set memory_get[str(size**2 * 8)] = np.mean(t_get) time_table_get[str(size**2 * 8)] = t_get time_complete_set[str(size**2 * 8)] = time_complete_set time_complete_get[str(size**2 * 8)] = time_complete_get plt.plot(np.array(list(memory_set.keys())),np.array(list(memory_set.values()))) plt.plot(np.array(list(memory_get.keys())),np.array(list(memory_get.values()))) plt.xlabel("Memory (bytes)") plt.ylabel("Average Time") plt.legend(["Set","Get"]) plt.plot(np.array(list(memory_get.keys())),np.array(list(memory_get.values()))-np.array(list(memory_set.values()))) plt.xlabel("Memory (bytes)") plt.ylabel("Average Time") plt.title("Set - Get as memory increased") plt.show() plt.figure(figsize=(10,5)) for size in array_sizes: key = size**2 * 8 t = time_table_set[str(key)] num_bins = int(np.sqrt(len(t)))#int(np.floor(5/3 * (len(t)**(1/3)))) counts, bin_edges = np.histogram (t, bins=num_bins, normed=True) cdf = np.cumsum (counts) plt.plot (np.hstack((np.zeros((1,)),bin_edges[1:])), np.hstack((np.zeros(1,),cdf/cdf[-1]))) plt.xlabel("t"); plt.ylabel("f(t)"); plt.xlim([0,0.005]) plt.legend(array_sizes**2 * 8) plt.show() plt.figure(figsize=(10,5)) for size in array_sizes: key = size**2 * 8 ti = time_table_get[str(key)] num_bins = int(np.sqrt(len(ti)))#int(np.floor(5/3 * (len(t)**(1/3)))) counts, bin_edges = np.histogram (ti, bins=num_bins, normed=True) cdf = np.cumsum (counts) plt.plot (np.hstack((np.zeros((1,)),bin_edges[1:])), np.hstack((np.zeros(1,),cdf/cdf[-1]))) plt.xlabel("t"); plt.ylabel("f(t)"); plt.xlim([0,0.0015]) plt.legend(array_sizes**2 * 8) plt.show() # clear keys for i in range(N): #r.delete("{0:015b}".format(i)) t.delete_item(Key={'key': "{0:015b}".format(i)}) """ ## job vs total time N = 100 memory_set = {} memory_get = {} time_table_set = {} time_table_get = {} time_complete_set = {} time_complete_get = {} #pipeline = r.pipeline(transaction=True) batcher = boto3.client('batch') job_size = np.array([1,10,100,1000,10000,100000]) for size in job_size: print("N jobs {}".format(size)) t_set = [] t_get = [] t_set_complete = [] t_get_complete =[] # store values for _ in range(N): for i in range(size): key = "{0:015b}".format(i) x = np.random.uniform(0,1,size=(8,8)) pipeline.set(key,x.tobytes()) t_start = r.time() pipeline.execute() t_end = r.time() job_time = (t_end[0] + t_end[1]*1e-6)-(t_start[0] + t_start[1]*1e-6) t_set.append(job_time) t_set_complete.append(t_end[0] + t_end[1]*1e-6) # get values for _ in range(N): for i in range(size): key = "{0:015b}".format(i) pipeline.get(key) t_start = r.time() pipeline.execute() t_end = r.time() job_time = (t_end[0] + t_end[1]*1e-6)-(t_start[0] + t_start[1]*1e-6) t_get.append(job_time) t_get_complete.append(t_end[0] + t_end[1]*1e-6) # clear keys for i in range(N): r.delete("{0:015b}".format(i)) memory_set[str(size)] = np.mean(t_set) time_table_set[str(size)] = t_set memory_get[str(size)] = np.mean(t_get) time_table_get[str(size)] = t_get plt.plot(np.array(list(memory_set.keys())),np.array(list(memory_set.values()))) plt.plot(np.array(list(memory_get.keys())),np.array(list(memory_get.values()))) plt.xlabel("Memory (bytes)") plt.ylabel("Average Time") plt.legend(["Set","Get"]) plt.show() plt.plot(np.array(list(memory_get.keys())),np.array(list(memory_get.values()))-np.array(list(memory_set.values()))) plt.xlabel("Memory (bytes)") plt.ylabel("Average Time") plt.title("Set - Get as memory increased") plt.show() plt.figure(figsize=(10,5)) for size in job_size: key = size t = time_table_set[str(key)] num_bins = int(np.sqrt(len(t))) #int(np.floor(5/3 * (len(t)**(1/3)))) counts, bin_edges = np.histogram (t, bins=num_bins, normed=True) cdf = np.cumsum (counts) plt.plot (np.hstack((np.zeros((1,)),bin_edges[1:])), np.hstack((np.zeros(1,),cdf/cdf[-1]))) plt.xlabel("t"); plt.ylabel("f(t)"); plt.xlim([0,5]) plt.legend(job_size) plt.show() plt.figure(figsize=(10,5)) for size in job_size: key = size t = time_table_get[str(key)] num_bins = int(np.sqrt(len(t)))#int(np.floor(5/3 * (len(t)**(1/3)))) counts, bin_edges = np.histogram (t, bins=num_bins, normed=True) cdf = np.cumsum (counts) plt.plot (np.hstack((np.zeros((1,)),bin_edges[1:])), np.hstack((np.zeros(1,),cdf/cdf[-1]))) plt.xlabel("t"); plt.ylabel("f(t)"); plt.xlim() plt.legend(job_size) plt.show() # clear keys for i in range(N): r.delete("{0:015b}".format(i)) """ if __name__ == "__main__": main()

26.727273

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b76935e5f91eed2c96db58335d1603b34919c7d6

10,919

py

Python

dosa/tests/test_firewall_actions.py

bunop/dosa

1271cce47d672b615d125110c0aa4379843ed63b

[ "MIT" ]

null

dosa/tests/test_firewall_actions.py

bunop/dosa

1271cce47d672b615d125110c0aa4379843ed63b

[ "MIT" ]

null

dosa/tests/test_firewall_actions.py

bunop/dosa

1271cce47d672b615d125110c0aa4379843ed63b

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Apr 2 14:51:50 2019 @author: Paolo Cozzi <cozzi@ibba.cnr.it> """ import json import os.path from unittest import TestCase from unittest.mock import patch import dosa endpoint = 'https://api.digitalocean.com/%s' % dosa.API_VERSION api_sample_data = os.path.join(os.path.dirname(__file__), 'api_sample_data') class TestDosaClientFirewallActions(TestCase): @classmethod def setUp(self): self.api_key = 'my_fake_api_key' self.client = dosa.Client(self.api_key) # to see all differences in assertEqual self.maxDiff = None @classmethod def tearDown(self): pass def test_dosa_client_created(self): client = dosa.Client(self.api_key) self.assertIsInstance(client, dosa.Client) @patch('dosa.requests.get') def test_dosa_firewall_list(self, mock_get): mock_get.return_value.status_code = 200 mock_get.return_value.json.return_value = json.loads( self._get_sample_data('firewalls')) status, result = self.client.firewalls.list() self.assertEqual(2, len(result['firewalls'])) self.assertTrue(mock_get.called) expected_headers = { 'Content-Type': 'application/json', 'authorization': 'Bearer {}'.format(self.api_key) } expected_params = {} expected_data = '{}' url, data = mock_get.call_args self.assertEqual(url[0], '{}/firewalls'.format(endpoint)) self.assertDictEqual(data['headers'], expected_headers) self.assertDictEqual(data['params'], expected_params) self.assertEqual(data['data'], expected_data) @patch('dosa.requests.get') def test_dosa_firewall_search(self, mock_get): mock_get.return_value.status_code = 200 mock_get.return_value.json.return_value = json.loads( self._get_sample_data('firewalls')) firewall = self.client.firewalls.get_by_name('webserver') # a firewall is an object self.assertIsInstance(firewall, dosa.Firewall) # assert method called self.assertTrue(mock_get.called) expected_headers = { 'Content-Type': 'application/json', 'authorization': 'Bearer {}'.format(self.api_key) } expected_params = {} expected_data = '{}' url, data = mock_get.call_args self.assertEqual(url[0], '{}/firewalls'.format(endpoint)) self.assertDictEqual(data['headers'], expected_headers) self.assertDictEqual(data['params'], expected_params) self.assertEqual(data['data'], expected_data) @patch('dosa.requests.post') def test_dosa_firewall_create(self, mock_post): mock_post.return_value.status_code = 202 mock_post.return_value.json.return_value = json.loads( self._get_sample_data('firewall_create')) # set firewall data params = { 'droplet_ids': [], 'inbound_rules': [{'ports': '22', 'protocol': 'tcp', 'sources': { 'addresses': ['0.0.0.0/0', '::/0']}}, {'ports': '80', 'protocol': 'tcp', 'sources': { 'addresses': ['0.0.0.0/0', '::/0']}}], 'name': 'firewall', 'outbound_rules': [{'destinations': { 'addresses': ['0.0.0.0/0', '::/0']}, 'ports': 'all', 'protocol': 'tcp'}], 'tags': []} firewall = self.client.firewalls.create(**params) self.assertTrue(mock_post.called) self.assertIsInstance(firewall, dosa.Firewall) expected_headers = { 'Content-Type': 'application/json', 'authorization': 'Bearer {}'.format(self.api_key) } expected_params = {} url, data = mock_post.call_args self.assertEqual(url[0], '{}/firewalls'.format(endpoint)) self.assertDictEqual(data['headers'], expected_headers) self.assertDictEqual(data['params'], expected_params) data_json = json.loads(data['data']) self.assertEqual(data_json['name'], params['name']) @patch('dosa.requests.delete') def test_dosa_firewall_delete(self, mock_delete): mock_delete.return_value.status_code = 204 # there's no response for delete firewall (No Content) mock_delete.return_value.text = None firewall_id = '99d5ef9c-2aa5-40ad-8507-2af7d65d099a' status, result = self.client.firewalls.delete(firewall_id) self.assertTrue(mock_delete.called) self.assertEqual(result, None) self.assertEqual(status, 204) expected_headers = { 'Content-Type': 'application/json', 'authorization': 'Bearer {}'.format(self.api_key) } expected_params = {} url, data = mock_delete.call_args self.assertEqual(url[0], '{}/firewalls/{}'.format( endpoint, firewall_id)) self.assertDictEqual(data['headers'], expected_headers) self.assertDictEqual(data['params'], expected_params) @patch('dosa.requests.get') @patch('dosa.requests.post') def test_dosa_firewall_add_droplet(self, mock_post, mock_get): # get a droplet and firewall id droplet_id = 12345 firewall_id = '99d5ef9c-2aa5-40ad-8507-2af7d65d099a' # prepare a response for a firewall object mock_get.return_value.status_code = 200 mock_get.return_value.json.return_value = json.loads( self._get_sample_data('firewall')) mock_post.return_value.status_code = 204 # there's no response for adding droplet (No Content) mock_post.return_value.text = None # get a firewall object firewall = dosa.Firewall( self.api_key, 'firewalls/{id}', id=firewall_id) # add a droplet to firewall status, result = firewall.add_droplet(droplet_id) self.assertTrue(mock_get.called) self.assertTrue(mock_post.called) self.assertEqual(result, None) self.assertEqual(status, 204) expected_headers = { 'Content-Type': 'application/json', 'authorization': 'Bearer {}'.format(self.api_key) } expected_params = {} url, data = mock_post.call_args self.assertEqual(url[0], '{}/firewalls/{}/droplets'.format( endpoint, firewall_id)) self.assertDictEqual(data['headers'], expected_headers) self.assertDictEqual(data['params'], expected_params) @patch('dosa.requests.get') @patch('dosa.requests.post') def test_dosa_firewall_add_droplet_already(self, mock_post, mock_get): """Test adding a droplet to firewall, which already have such droplet""" # get a droplet and firewall id droplet_id = 12345 firewall_id = '99d5ef9c-2aa5-40ad-8507-2af7d65d099a' # prepare a response for a firewall object mock_get.return_value.status_code = 200 # read data from file and update data with droplet_id firewall_data = json.loads(self._get_sample_data('firewall')) firewall_data['firewall']['droplet_ids'] = [droplet_id] # assign data to response mock_get.return_value.json.return_value = firewall_data mock_post.return_value.status_code = 204 # there's no response for adding droplet (No Content) mock_post.return_value.text = None # get a firewall object firewall = dosa.Firewall( self.api_key, 'firewalls/{id}', id=firewall_id) # add a droplet to firewall result = firewall.add_droplet(droplet_id) self.assertTrue(mock_get.called) self.assertFalse(mock_post.called) self.assertEqual(result, None) @patch('dosa.requests.get') @patch('dosa.requests.delete') def test_dosa_firewall_delete_droplet(self, mock_delete, mock_get): # get a droplet and firewall id droplet_id = 12345 firewall_id = '99d5ef9c-2aa5-40ad-8507-2af7d65d099a' # prepare a response for a firewall object mock_get.return_value.status_code = 200 # read data from file and update data with droplet_id firewall_data = json.loads(self._get_sample_data('firewall')) firewall_data['firewall']['droplet_ids'] = [droplet_id] # assign data to response mock_get.return_value.json.return_value = firewall_data mock_delete.return_value.status_code = 204 # there's no response for deleting droplet (No Content) mock_delete.return_value.text = None # get a firewall object firewall = dosa.Firewall( self.api_key, 'firewalls/{id}', id=firewall_id) # add a droplet to firewall status, result = firewall.remove_droplet(droplet_id) self.assertTrue(mock_get.called) self.assertTrue(mock_delete.called) self.assertEqual(result, None) self.assertEqual(status, 204) expected_headers = { 'Content-Type': 'application/json', 'authorization': 'Bearer {}'.format(self.api_key) } expected_params = {} url, data = mock_delete.call_args self.assertEqual(url[0], '{}/firewalls/{}/droplets'.format( endpoint, firewall_id)) self.assertDictEqual(data['headers'], expected_headers) self.assertDictEqual(data['params'], expected_params) @patch('dosa.requests.get') @patch('dosa.requests.delete') def test_dosa_firewall_delete_droplet_error(self, mock_delete, mock_get): """Test adding a droplet to firewall, which already have such droplet""" # get a droplet and firewall id droplet_id = 12345 firewall_id = '99d5ef9c-2aa5-40ad-8507-2af7d65d099a' # prepare a response for a firewall object mock_get.return_value.status_code = 200 mock_get.return_value.json.return_value = json.loads( self._get_sample_data('firewall')) mock_delete.return_value.status_code = 204 # there's no response for adding droplet (No Content) mock_delete.return_value.text = None # get a firewall object firewall = dosa.Firewall( self.api_key, 'firewalls/{id}', id=firewall_id) # add a droplet to firewall result = firewall.remove_droplet(droplet_id) self.assertTrue(mock_get.called) self.assertFalse(mock_delete.called) self.assertEqual(result, None) def _get_sample_data(self, path): filename = '{}.json'.format(path) with open(os.path.join(api_sample_data, filename)) as handle: data = handle.read() return data

35.917763

77

0.626248

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10,919

5.204114

0.125

0.051839

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0.032837

0.841289

0.812405

0.803132

0.776072

0.753725

0.746427

0

0.025003

0.260097

10,919

303

78

36.036304

0.789207

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0

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0

0.220588

1

0.058824

false

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0

0.093137

0

null

0

1

0

null

0

6

b77f40e453a022d13cc6954285a86025cee5d7ba

21,182

py

Python

src/test/tinc/tincrepo/mpp/gpdb/tests/storage/fts/fts_transitions/fts_transitions.py

sridhargoudrangu/gpdb

0783892116708662d7fe7ef4f307197de40ecc04

[ "PostgreSQL", "Apache-2.0" ]

null

src/test/tinc/tincrepo/mpp/gpdb/tests/storage/fts/fts_transitions/fts_transitions.py

sridhargoudrangu/gpdb

0783892116708662d7fe7ef4f307197de40ecc04

[ "PostgreSQL", "Apache-2.0" ]

null

src/test/tinc/tincrepo/mpp/gpdb/tests/storage/fts/fts_transitions/fts_transitions.py

sridhargoudrangu/gpdb

0783892116708662d7fe7ef4f307197de40ecc04

[ "PostgreSQL", "Apache-2.0" ]

null

""" Copyright (C) 2004-2015 Pivotal Software, Inc. All rights reserved. This program and the accompanying materials are made available under the terms of the under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ import tinctest from mpp.lib.filerep_util import Filerepe2e_Util from mpp.lib.config import GPDBConfig from tinctest.models.scenario import ScenarioTestCase from mpp.models import MPPTestCase class FTSTestCase(ScenarioTestCase, MPPTestCase): ''' FTS transitions with filerep_faults and other cluster changes''' def __init__(self, methodName): super(FTSTestCase,self).__init__(methodName) def setUp(self): self.fileutil = Filerepe2e_Util() self.fileutil.inject_fault(f='all', m='async', y='reset', r='primary_mirror', H='ALL') super(FTSTestCase, self).setUp() def tearDown(self): super(FTSTestCase, self).tearDown() def check_system(self): ''' Check state of system and exit if not in sync & up state ''' test_case_list0 = [] test_case_list0.append('mpp.gpdb.tests.storage.lib.dbstate.DbStateClass.check_system') self.test_case_scenario.append(test_case_list0) def run_gprecover_and_validation(self): ''' Run gprecover and validation ''' test_case_list0 = [] test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_insync') self.test_case_scenario.append(test_case_list0, serial=True) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_validation') self.test_case_scenario.append(test_case_list1) def fts_test_run(self, filerep_role, filerep_state): test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') self.test_case_scenario.append(test_case_list1, serial=True) test_case_list2 = [] test_case_list2.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml') self.test_case_scenario.append(test_case_list2) test_case_list3 = [] test_case_list3.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate', [filerep_role, filerep_state])) self.test_case_scenario.append(test_case_list3) self.run_gprecover_and_validation() def filerep_sync_ct(self, fault_name, fault_type, fault_role, filerep_state, filerep_role): ''' sync_ct_tests with fierep faults ''' self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', [fault_name, fault_type, fault_role])) self.test_case_scenario.append(test_case_list0) self.fts_test_run(filerep_role, filerep_state) if fault_name == 'postmaster': test_case_list6 = [] test_case_list6.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.restart_db') self.test_case_scenario.append(test_case_list6) def sync_postmaster_reset(self, fault_name, fault_type, fault_role, filerep_state, filerep_role): ''' sync_postmaster_reset_tests with fierep faults ''' self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', [fault_name, fault_type, fault_role])) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml') self.test_case_scenario.append(test_case_list1, serial=True) test_case_list2 = [] test_case_list2.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_recoverseg_if_ct') test_case_list2.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_insync') self.test_case_scenario.append(test_case_list2, serial=True) test_case_list3 = [] test_case_list3.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate', [filerep_role, filerep_state])) self.test_case_scenario.append(test_case_list3) if fault_name == 'checkpoint': test_case_list3_1 = [] test_case_list3_1.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', [fault_name, 'reset', fault_role])) self.test_case_scenario.append(test_case_list3_1) test_case_list4 = [] test_case_list4.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_validation') self.test_case_scenario.append(test_case_list4) def gpconfig_alter(self, filerep_role): ''' fts transitions after gpconfig alter ''' self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.gpconfig_alter', [filerep_role, 'true'])) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.restart_db_with_no_rc_check') self.test_case_scenario.append(test_case_list0, serial=True) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') self.test_case_scenario.append(test_case_list1) test_case_list2 = [] test_case_list2.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml') self.test_case_scenario.append(test_case_list2) test_case_list3 = [] test_case_list3.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate', [filerep_role, 'ct'])) self.test_case_scenario.append(test_case_list3) test_case_list4 = [] test_case_list4.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') self.test_case_scenario.append(test_case_list4) test_case_list5 = [] test_case_list5.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.gpconfig_alter', [filerep_role, 'false'])) test_case_list5.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.restart_db') self.test_case_scenario.append(test_case_list5, serial=True) self.run_gprecover_and_validation() def primary_sync_mirror_cannot_keepup_failover(self): self.check_system() test_case_list01 = [] test_case_list01.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_gpconfig', ['gp_segment_connect_timeout','10s'])) self.test_case_scenario.append(test_case_list01) test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_receiver', 'suspend', 'primary'])) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_sql_in_background') test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.sleep_for_transition') self.test_case_scenario.append(test_case_list1, serial=True) test_case_list2 = [] test_case_list2.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.resume_faults', ['filerep_receiver', 'primary'])) self.test_case_scenario.append(test_case_list2) test_case_list3 = [] test_case_list3.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') test_case_list3.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml') self.test_case_scenario.append(test_case_list3, serial=True) test_case_list4 = [] test_case_list4.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate', ['primary','ct'])) self.test_case_scenario.append(test_case_list4) self.run_gprecover_and_validation() test_case_list5 = [] test_case_list5.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_gpconfig', ['gp_segment_connect_timeout','600'])) self.test_case_scenario.append(test_case_list5) def change_tracking_transition_failover(self): self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'fault', 'primary'])) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_transition_to_change_tracking', 'panic', 'primary'])) self.test_case_scenario.append(test_case_list1) self.fts_test_run('primary','ct') def gpstate_resync_object_count(self): self.check_system() config = GPDBConfig() db_id = config.get_dbid(0,'p') test_case_list0 = [] test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml_before_ct') test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_transition_to_resync', 'suspend', 'primary'])) test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_transition_to_resync_mark_recreate', 'suspend', 'primary'])) test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'fault', 'primary'])) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml_ct') test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg', [True])) test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.check_fault_status', ['filerep_transition_to_resync'], {'seg_id': db_id})) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpprimarymirror') test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate_shell_cmd', ['-e'])) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.verify_gpstate_output') test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.resume_faults', ['filerep_transition_to_resync', 'primary'])) test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.check_fault_status', ['filerep_transition_to_resync_mark_recreate'], {'seg_id': db_id})) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpprimarymirror') test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate_shell_cmd', ['-e'])) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.verify_gpstate_output') test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.resume_faults', ['filerep_transition_to_resync_mark_recreate', 'primary'])) test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_insync') test_case_list0.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.restart_db') self.test_case_scenario.append(test_case_list0, serial=True) def mirror_resync_postmaster_reset_filerep_fault(self, filerep_fault): self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'fault', 'primary'])) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') self.test_case_scenario.append(test_case_list1, serial=True) test_case_list3 = [] test_case_list3.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_resync', 'suspend', 'primary'])) self.test_case_scenario.append(test_case_list3) test_case_list4 = [] test_case_list4.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') self.test_case_scenario.append(test_case_list4) test_case_list5 = [] test_case_list5.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', [filerep_fault, 'panic', 'mirror'])) test_case_list5.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.resume_faults', ['filerep_resync', 'primary'])) self.test_case_scenario.append(test_case_list5, serial=True) self.fts_test_run('primary','ct') def primary_resync_postmaster_reset_with_faults(self, filerep_fault, fault_type, filerep_role, gpstate_role, gprecover='no'): self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'fault', 'primary'])) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') self.test_case_scenario.append(test_case_list1, serial=True) test_case_list2 = [] test_case_list2.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_resync', 'suspend', 'primary'])) self.test_case_scenario.append(test_case_list2) test_case_list3 = [] test_case_list3.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') self.test_case_scenario.append(test_case_list3) test_case_list4 = [] test_case_list4.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate', [gpstate_role,'resync_incr'])) self.test_case_scenario.append(test_case_list4) if filerep_fault == 'filerep_consumer' and filerep_role == 'primary': test_case_list5_0 = [] test_case_list5_0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', [filerep_fault, 'reset', filerep_role])) self.test_case_scenario.append(test_case_list5_0) test_case_list5 = [] test_case_list5.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', [filerep_fault, fault_type, filerep_role])) self.test_case_scenario.append(test_case_list5) if filerep_fault == 'postmaster' and filerep_role == 'primary' : tinctest.logger.info('When its postmaster no need to resume filerep_resync') else: test_case_list5_2 = [] test_case_list5_2.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.resume_faults', ['filerep_resync', 'primary'])) self.test_case_scenario.append(test_case_list5_2) test_case_list6 = [] test_case_list6.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') self.test_case_scenario.append(test_case_list6) if filerep_fault == 'postmaster' and filerep_role == 'primary' : test_case_list7_1 = [] test_case_list7_1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.restart_db') test_case_list7_1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') self.test_case_scenario.append(test_case_list7_1, serial=True) test_case_list7 = [] test_case_list7.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_fts_test_ddl_dml') self.test_case_scenario.append(test_case_list7) test_case_list8 = [] test_case_list8.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_gpstate', [gpstate_role,'ct'])) self.test_case_scenario.append(test_case_list8) if gprecover == 'yes': test_case_list9_1 = [] test_case_list9_1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') self.test_case_scenario.append(test_case_list9_1) test_case_list9 = [] test_case_list9.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_insync') self.test_case_scenario.append(test_case_list9) test_case_list10 = [] test_case_list10.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_validation') self.test_case_scenario.append(test_case_list10) def mirror_resync_postmaster_reset_with_faults(self): self.check_system() test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'fault', 'primary'])) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.run_trigger_sql') test_case_list1.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.wait_till_change_tracking') self.test_case_scenario.append(test_case_list1, serial=True) test_case_list2 = [] test_case_list2.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_resync', 'suspend', 'primary'])) self.test_case_scenario.append(test_case_list2) test_case_list3 = [] test_case_list3.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.incremental_recoverseg') self.test_case_scenario.append(test_case_list3) test_case_list4 = [] test_case_list4.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'panic', 'mirror'])) test_case_list4.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.resume_faults', ['filerep_resync', 'primary'])) self.test_case_scenario.append(test_case_list4, serial=True) self.fts_test_run('primary', 'ct') def wait_for_shutdown_before_commit(self): self.check_system() config = GPDBConfig() db_id = config.get_dbid(-1,'p') test_case_list0 = [] test_case_list0.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['fts_wait_for_shutdown', 'infinite_loop'], {'seg_id': db_id})) self.test_case_scenario.append(test_case_list0) test_case_list1 = [] test_case_list1.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.set_faults', ['filerep_consumer', 'fault', 'primary'])) self.test_case_scenario.append(test_case_list1) test_case_list2 = [] test_case_list2.append(('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.check_fault_status', ['fts_wait_for_shutdown'], {'seg_id': db_id})) self.test_case_scenario.append(test_case_list2) test_case_list3 = [] test_case_list3.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.restart_db_with_no_rc_check') self.test_case_scenario.append(test_case_list3) test_case_list4 = [] test_case_list4.append('mpp.gpdb.tests.storage.fts.fts_transitions.FtsTransitions.cluster_state') self.test_case_scenario.append(test_case_list4)

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b7a64d9a162a263dca24d4481052a244c76dc0a8

40,280

py

Python

datahub/dnb_api/test/test_tasks.py

uktrade/data-hub-api-actions-test

a72439dfeb34e4179491db42fea290b9c2afadb1

[ "MIT" ]

null

datahub/dnb_api/test/test_tasks.py

uktrade/data-hub-api-actions-test

a72439dfeb34e4179491db42fea290b9c2afadb1

[ "MIT" ]

16

2020-04-01T15:25:35.000Z

2020-04-14T14:07:30.000Z

datahub/dnb_api/test/test_tasks.py

uktrade/data-hub-api-actions-test

a72439dfeb34e4179491db42fea290b9c2afadb1

[ "MIT" ]

null

from datetime import timedelta from unittest import mock from urllib.parse import urljoin import pytest from celery.exceptions import Retry from django.conf import settings from django.forms.models import model_to_dict from django.test.utils import override_settings from django.utils.timezone import now from freezegun import freeze_time from rest_framework import status from reversion.models import Version from datahub.company.models import Company from datahub.company.test.factories import CompanyFactory from datahub.dnb_api.tasks import ( get_company_updates, sync_company_with_dnb, sync_outdated_companies_with_dnb, update_company_from_dnb_data, ) from datahub.dnb_api.test.utils import model_to_dict_company from datahub.dnb_api.utils import ( DNBServiceConnectionError, DNBServiceError, DNBServiceTimeoutError, ) from datahub.interaction.test.factories import CompanyInteractionFactory from datahub.metadata.models import Country pytestmark = pytest.mark.django_db DNB_SEARCH_URL = urljoin(f'{settings.DNB_SERVICE_BASE_URL}/', 'companies/search/') @pytest.mark.parametrize( 'update_descriptor', ( None, 'command:foo:bar', ), ) @freeze_time('2019-01-01 11:12:13') def test_sync_company_with_dnb_all_fields( requests_mock, dnb_response_uk, base_company_dict, update_descriptor, ): """ Test the sync_company_with_dnb task when all fields should be synced. """ requests_mock.post( DNB_SEARCH_URL, json=dnb_response_uk, ) company = CompanyFactory(duns_number='123456789') original_company = Company.objects.get(id=company.id) task_result = sync_company_with_dnb.apply_async( args=[company.id], kwargs={'update_descriptor': update_descriptor}, ) assert task_result.successful() company.refresh_from_db() uk_country = Country.objects.get(iso_alpha2_code='GB') assert model_to_dict_company(company) == { **base_company_dict, 'address_1': 'Unit 10, Ockham Drive', 'address_2': '', 'address_country': uk_country.id, 'address_county': '', 'address_postcode': 'UB6 0F2', 'address_town': 'GREENFORD', 'archived_documents_url_path': original_company.archived_documents_url_path, 'business_type': original_company.business_type_id, 'company_number': '01261539', 'created_by': original_company.created_by_id, 'duns_number': '123456789', 'employee_range': original_company.employee_range_id, 'export_experience_category': original_company.export_experience_category_id, 'global_ultimate_duns_number': '291332174', 'id': original_company.id, 'is_number_of_employees_estimated': True, 'modified_by': original_company.modified_by_id, 'name': 'FOO BICYCLE LIMITED', 'number_of_employees': 260, 'sector': original_company.sector_id, 'turnover': 50651895, 'turnover_range': original_company.turnover_range_id, 'uk_region': original_company.uk_region_id, 'dnb_modified_on': now(), } versions = list(Version.objects.get_for_object(company)) assert len(versions) == 1 version = versions[0] expected_update_descriptor = f'celery:sync_company_with_dnb:{task_result.id}' if update_descriptor: expected_update_descriptor = update_descriptor assert version.revision.comment == f'Updated from D&B [{expected_update_descriptor}]' assert version.revision.user is None @freeze_time('2019-01-01 11:12:13') def test_sync_company_with_dnb_partial_fields( requests_mock, dnb_response_uk, base_company_dict, ): """ Test the sync_company_with_dnb task when only a subset of fields should be synced. """ requests_mock.post( DNB_SEARCH_URL, json=dnb_response_uk, ) company = CompanyFactory(duns_number='123456789') original_company = Company.objects.get(id=company.id) task_result = sync_company_with_dnb.apply_async( args=[company.id], kwargs={'fields_to_update': ['global_ultimate_duns_number']}, ) assert task_result.successful() company.refresh_from_db() assert model_to_dict(company) == { **base_company_dict, 'address_1': original_company.address_1, 'address_2': original_company.address_2, 'address_country': original_company.address_country_id, 'address_county': original_company.address_county, 'address_postcode': original_company.address_postcode, 'address_town': original_company.address_town, 'archived_documents_url_path': original_company.archived_documents_url_path, 'business_type': original_company.business_type_id, 'created_by': original_company.created_by_id, 'duns_number': original_company.duns_number, 'employee_range': original_company.employee_range_id, 'export_experience_category': original_company.export_experience_category_id, 'global_ultimate_duns_number': '291332174', 'id': original_company.id, 'is_number_of_employees_estimated': original_company.is_number_of_employees_estimated, 'is_turnover_estimated': original_company.is_turnover_estimated, 'modified_by': original_company.modified_by_id, 'name': original_company.name, 'number_of_employees': original_company.number_of_employees, 'registered_address_1': original_company.registered_address_1, 'registered_address_2': original_company.registered_address_2, 'registered_address_country': original_company.registered_address_country_id, 'registered_address_county': original_company.registered_address_county, 'registered_address_postcode': original_company.registered_address_postcode, 'registered_address_town': original_company.registered_address_town, 'sector': original_company.sector_id, 'trading_names': original_company.trading_names, 'turnover': original_company.turnover, 'turnover_range': original_company.turnover_range_id, 'uk_region': original_company.uk_region_id, 'website': original_company.website, 'dnb_modified_on': now(), } @pytest.mark.parametrize( 'error,expect_retry', ( (DNBServiceError('An error occurred', status_code=504), True), (DNBServiceError('An error occurred', status_code=503), True), (DNBServiceError('An error occurred', status_code=502), True), (DNBServiceError('An error occurred', status_code=500), True), (DNBServiceError('An error occurred', status_code=403), False), (DNBServiceError('An error occurred', status_code=400), False), (DNBServiceConnectionError('An error occurred'), True), (DNBServiceTimeoutError('An error occurred'), True), ), ) def test_sync_company_with_dnb_retries_errors(monkeypatch, error, expect_retry): """ Test the sync_company_with_dnb task retries server errors. """ company = CompanyFactory(duns_number='123456789') # Set up a DNBServiceError with the parametrized status code mocked_get_company = mock.Mock() mocked_get_company.side_effect = error monkeypatch.setattr('datahub.dnb_api.tasks.sync.get_company', mocked_get_company) # Mock the task's retry method retry_mock = mock.Mock(side_effect=Retry(exc=error)) monkeypatch.setattr('datahub.dnb_api.tasks.sync_company_with_dnb.retry', retry_mock) if expect_retry: expected_exception_class = Retry else: expected_exception_class = DNBServiceError with pytest.raises(expected_exception_class): sync_company_with_dnb(company.id) @pytest.mark.parametrize( 'error', ( DNBServiceError('An error occurred', status_code=504), DNBServiceError('An error occurred', status_code=503), DNBServiceError('An error occurred', status_code=502), DNBServiceError('An error occurred', status_code=500), DNBServiceConnectionError('An error occurred'), DNBServiceTimeoutError('An error occurred'), ), ) def test_sync_company_with_dnb_respects_retry_failures_flag(monkeypatch, error): """ Test the sync_company_with_dnb task retries server errors. """ company = CompanyFactory(duns_number='123456789') # Set up a DNBServiceError with the parametrized status code mocked_get_company = mock.Mock() mocked_get_company.side_effect = error monkeypatch.setattr('datahub.dnb_api.tasks.sync.get_company', mocked_get_company) with pytest.raises(error.__class__): sync_company_with_dnb(company.id, retry_failures=False) @pytest.mark.usefixtures('dnb_company_updates_feature_flag') class TestGetCompanyUpdates: """ Tests for the get_company_updates task and the associated _get_company_updates function. """ @pytest.mark.parametrize( 'error, expect_retry', ( ( DNBServiceError( 'An error occurred', status_code=status.HTTP_504_GATEWAY_TIMEOUT, ), True, ), ( DNBServiceError( 'An error occurred', status_code=status.HTTP_503_SERVICE_UNAVAILABLE, ), True, ), ( DNBServiceError( 'An error occurred', status_code=status.HTTP_502_BAD_GATEWAY, ), True, ), ( DNBServiceError( 'An error occurred', status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, ), True, ), ( DNBServiceError( 'An error occurred', status_code=403, ), False, ), ( DNBServiceError( 'An error occurred', status_code=400, ), False, ), ( DNBServiceConnectionError( 'An error occurred', ), True, ), ( DNBServiceTimeoutError( 'An error occurred', ), True, ), ), ) def test_errors(self, monkeypatch, error, expect_retry): """ Test the get_company_updates task retries server errors. """ mocked_get_company_update_page = mock.Mock(side_effect=error) monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mocked_get_company_update_page, ) mock_retry = mock.Mock(side_effect=Retry(exc=error)) monkeypatch.setattr( 'datahub.dnb_api.tasks.get_company_updates.retry', mock_retry, ) expected_exception_class = Retry if expect_retry else DNBServiceError with pytest.raises(expected_exception_class): get_company_updates() @pytest.mark.parametrize( 'data', ( { None: { 'next': 'http://foo.bar/companies?cursor=page2', 'previous': None, 'count': 3, 'results': [ {'foo': 1}, {'bar': 2}, ], }, 'http://foo.bar/companies?cursor=page2': { 'next': None, 'previous': 'http://foo.bar/companies', 'count': 3, 'results': [ {'baz': 3}, ], }, }, ), ) @pytest.mark.parametrize( 'fields_to_update', ( None, ['foo', 'bar'], ), ) @freeze_time('2019-01-02T2:00:00') def test_updates(self, monkeypatch, caplog, data, fields_to_update): """ Test if the update_company task is called with the right parameters for all the records spread across pages. """ caplog.set_level('INFO') mock_get_company_update_page = mock.Mock( side_effect=lambda _, next_page: data[next_page], ) monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mock_get_company_update_page, ) mock_update_company = mock.Mock() monkeypatch.setattr( 'datahub.dnb_api.tasks.update.update_company_from_dnb_data', mock_update_company, ) task_result = get_company_updates.apply(kwargs={'fields_to_update': fields_to_update}) assert mock_get_company_update_page.call_count == 2 mock_get_company_update_page.assert_any_call( '2019-01-01T00:00:00', None, ) mock_get_company_update_page.assert_any_call( '2019-01-01T00:00:00', 'http://foo.bar/companies?cursor=page2', ) assert mock_update_company.apply_async.call_count == 3 expected_kwargs = { 'fields_to_update': fields_to_update, 'update_descriptor': f'celery:get_company_updates:{task_result.id}', } mock_update_company.apply_async.assert_any_call( args=({'foo': 1},), kwargs=expected_kwargs, ) mock_update_company.apply_async.assert_any_call( args=({'bar': 2},), kwargs=expected_kwargs, ) mock_update_company.apply_async.assert_any_call( args=({'baz': 3},), kwargs=expected_kwargs, ) assert 'get_company_updates total update count: 3' in caplog.text @pytest.mark.parametrize( 'lock_acquired, call_count', ( (False, 0), (True, 1), ), ) def test_lock(self, monkeypatch, lock_acquired, call_count): """ Test that the task doesn't run if it cannot acquire the advisory_lock. """ mock_advisory_lock = mock.MagicMock() mock_advisory_lock.return_value.__enter__.return_value = lock_acquired monkeypatch.setattr( 'datahub.dnb_api.tasks.update.advisory_lock', mock_advisory_lock, ) mock_get_company_updates = mock.Mock() monkeypatch.setattr( 'datahub.dnb_api.tasks.update._get_company_updates', mock_get_company_updates, ) get_company_updates() assert mock_get_company_updates.call_count == call_count @pytest.mark.parametrize( 'data', ( # Test limit works correctly on the first page { None: { 'next': None, 'previous': None, 'count': 3, 'results': [ {'foo': 1}, {'bar': 2}, {'baz': 3}, ], }, }, # Test limit works correctly on the second page { None: { 'next': 'http://foo.bar/companies?cursor=page2', 'previous': None, 'count': 3, 'results': [ {'foo': 1}, ], }, 'http://foo.bar/companies?cursor=page2': { 'next': None, 'previous': 'http://foo.bar/companies', 'count': 3, 'results': [ {'bar': 2}, {'baz': 3}, ], }, }, ), ) @freeze_time('2019-01-02T2:00:00') @override_settings(DNB_AUTOMATIC_UPDATE_LIMIT=2) def test_updates_max_update_limit(self, monkeypatch, data): """ Test if the update_company task is called with the right parameters for all the records spread across pages. """ mock_get_company_update_page = mock.Mock( side_effect=lambda _, next_page: data[next_page], ) monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mock_get_company_update_page, ) mock_update_company = mock.Mock() monkeypatch.setattr( 'datahub.dnb_api.tasks.update.update_company_from_dnb_data', mock_update_company, ) task_result = get_company_updates.apply() assert mock_update_company.apply_async.call_count == 2 expected_kwargs = { 'fields_to_update': None, 'update_descriptor': f'celery:get_company_updates:{task_result.id}', } mock_update_company.apply_async.assert_any_call( args=({'foo': 1},), kwargs=expected_kwargs, ) mock_update_company.apply_async.assert_any_call( args=({'bar': 2},), kwargs=expected_kwargs, ) @mock.patch('datahub.dnb_api.tasks.update.log_to_sentry') @freeze_time('2019-01-02T2:00:00') def test_updates_with_update_company_from_dnb_data( self, mocked_log_to_sentry, caplog, monkeypatch, dnb_company_updates_response_uk, ): """ Test full integration for the `get_company_updates` task with the `update_company_from_dnb_data` task when all fields are updated. """ caplog.set_level('INFO') company = CompanyFactory(duns_number='123456789') mock_get_company_update_page = mock.Mock( return_value=dnb_company_updates_response_uk, ) monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mock_get_company_update_page, ) task_result = get_company_updates.apply_async() company.refresh_from_db() dnb_company = dnb_company_updates_response_uk['results'][0] assert company.name == dnb_company['primary_name'] expected_gu_number = dnb_company['global_ultimate_duns_number'] assert company.global_ultimate_duns_number == expected_gu_number mocked_log_to_sentry.assert_called_with( 'get_company_updates task completed.', extra={ 'success_count': 1, 'failure_count': 0, 'updated_company_ids': [str(company.pk)], 'producer_task_id': task_result.id, 'start_time': '2019-01-02T02:00:00+00:00', 'end_time': '2019-01-02T02:00:00+00:00', }, ) assert 'get_company_updates total update count: 1' in caplog.text @mock.patch('datahub.dnb_api.tasks.update.log_to_sentry') @freeze_time('2019-01-02T2:00:00') def test_updates_with_update_company_from_dnb_data_partial_fields( self, mocked_log_to_sentry, monkeypatch, dnb_company_updates_response_uk, ): """ Test full integration for the `get_company_updates` task with the `update_company_from_dnb_data` task when the fields are only partially updated. """ company = CompanyFactory(duns_number='123456789') mock_get_company_update_page = mock.Mock( return_value=dnb_company_updates_response_uk, ) monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mock_get_company_update_page, ) task_result = get_company_updates.apply(kwargs={'fields_to_update': ['name']}) company.refresh_from_db() dnb_company = dnb_company_updates_response_uk['results'][0] assert company.name == dnb_company['primary_name'] assert company.global_ultimate_duns_number == '' mocked_log_to_sentry.assert_called_with( 'get_company_updates task completed.', extra={ 'success_count': 1, 'failure_count': 0, 'updated_company_ids': [str(company.pk)], 'producer_task_id': task_result.id, 'start_time': '2019-01-02T02:00:00+00:00', 'end_time': '2019-01-02T02:00:00+00:00', }, ) @mock.patch('datahub.dnb_api.tasks.update.log_to_sentry') @freeze_time('2019-01-02T2:00:00') def test_updates_with_update_company_from_dnb_data_with_failure( self, mocked_log_to_sentry, monkeypatch, dnb_company_updates_response_uk, ): """ Test full integration for the `get_company_updates` task with the `update_company_from_dnb_data` task when all fields are updated and one company in the dnb-service result does not exist in Data Hub. """ company = CompanyFactory(duns_number='123456789') missing_dnb_company = { **dnb_company_updates_response_uk['results'][0], 'duns_number': '999999999', } dnb_company_updates_response_uk['results'].append(missing_dnb_company) mock_get_company_update_page = mock.Mock( return_value=dnb_company_updates_response_uk, ) monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mock_get_company_update_page, ) task_result = get_company_updates.apply() company.refresh_from_db() dnb_company = dnb_company_updates_response_uk['results'][0] assert company.name == dnb_company['primary_name'] expected_gu_number = dnb_company['global_ultimate_duns_number'] assert company.global_ultimate_duns_number == expected_gu_number mocked_log_to_sentry.assert_called_with( 'get_company_updates task completed.', extra={ 'success_count': 1, 'failure_count': 1, 'updated_company_ids': [str(company.pk)], 'producer_task_id': task_result.id, 'start_time': '2019-01-02T02:00:00+00:00', 'end_time': '2019-01-02T02:00:00+00:00', }, ) def test_get_company_updates_feature_flag_inactive_no_updates( monkeypatch, ): """ Test that when the DNB company updates feature flag is inactive, the task does not proceed. """ mocked_get_company_update_page = mock.Mock() monkeypatch.setattr( 'datahub.dnb_api.tasks.update.get_company_update_page', mocked_get_company_update_page, ) get_company_updates() assert mocked_get_company_update_page.call_count == 0 @freeze_time('2019-01-01 11:12:13') def test_update_company_from_dnb_data(dnb_response_uk, base_company_dict): """ Test the update_company_from_dnb_data command when all DNB fields are updated. """ company = CompanyFactory(duns_number='123456789') original_company = Company.objects.get(id=company.id) update_descriptor = 'foobar' task_result = update_company_from_dnb_data.apply_async( args=[dnb_response_uk['results'][0]], kwargs={'update_descriptor': update_descriptor}, ) assert task_result.successful() company.refresh_from_db() uk_country = Country.objects.get(iso_alpha2_code='GB') assert model_to_dict_company(company) == { **base_company_dict, 'address_1': 'Unit 10, Ockham Drive', 'address_2': '', 'address_country': uk_country.id, 'address_county': '', 'address_postcode': 'UB6 0F2', 'address_town': 'GREENFORD', 'archived_documents_url_path': original_company.archived_documents_url_path, 'business_type': original_company.business_type_id, 'company_number': '01261539', 'created_by': original_company.created_by_id, 'duns_number': '123456789', 'employee_range': original_company.employee_range_id, 'export_experience_category': original_company.export_experience_category_id, 'global_ultimate_duns_number': '291332174', 'id': original_company.id, 'is_number_of_employees_estimated': True, 'modified_by': original_company.modified_by_id, 'name': 'FOO BICYCLE LIMITED', 'number_of_employees': 260, 'sector': original_company.sector_id, 'turnover': 50651895, 'turnover_range': original_company.turnover_range_id, 'uk_region': original_company.uk_region_id, 'dnb_modified_on': now(), } versions = list(Version.objects.get_for_object(company)) assert len(versions) == 1 version = versions[0] assert version.revision.comment == f'Updated from D&B [{update_descriptor}]' @freeze_time('2019-01-01 11:12:13') def test_update_company_from_dnb_data_partial_fields(dnb_response_uk, base_company_dict): """ Test the update_company_from_dnb_data command when a subset of DNB fields are updated. """ company = CompanyFactory(duns_number='123456789') original_company = Company.objects.get(id=company.id) task_result = update_company_from_dnb_data.apply_async( args=[dnb_response_uk['results'][0]], kwargs={'fields_to_update': ['global_ultimate_duns_number']}, ) assert task_result.successful() company.refresh_from_db() assert model_to_dict(company) == { **base_company_dict, 'address_1': original_company.address_1, 'address_2': original_company.address_2, 'address_country': original_company.address_country_id, 'address_county': original_company.address_county, 'address_postcode': original_company.address_postcode, 'address_town': original_company.address_town, 'archived_documents_url_path': original_company.archived_documents_url_path, 'business_type': original_company.business_type_id, 'created_by': original_company.created_by_id, 'duns_number': original_company.duns_number, 'employee_range': original_company.employee_range_id, 'export_experience_category': original_company.export_experience_category_id, 'global_ultimate_duns_number': '291332174', 'id': original_company.id, 'is_number_of_employees_estimated': original_company.is_number_of_employees_estimated, 'is_turnover_estimated': original_company.is_turnover_estimated, 'modified_by': original_company.modified_by_id, 'name': original_company.name, 'number_of_employees': original_company.number_of_employees, 'registered_address_1': original_company.registered_address_1, 'registered_address_2': original_company.registered_address_2, 'registered_address_country': original_company.registered_address_country_id, 'registered_address_county': original_company.registered_address_county, 'registered_address_postcode': original_company.registered_address_postcode, 'registered_address_town': original_company.registered_address_town, 'sector': original_company.sector_id, 'trading_names': original_company.trading_names, 'turnover': original_company.turnover, 'turnover_range': original_company.turnover_range_id, 'uk_region': original_company.uk_region_id, 'website': original_company.website, 'dnb_modified_on': now(), } @freeze_time('2019-01-01 11:12:13') def test_update_company_from_dnb_data_does_not_exist(dnb_response_uk, caplog): """ Test the update_company_from_dnb_data command when the company does not exist in Data Hub. """ task_result = update_company_from_dnb_data.apply_async(args=[dnb_response_uk['results'][0]]) assert not task_result.successful() assert 'Company matching duns_number was not found' in caplog.text @freeze_time('2019-01-01 11:12:13') def test_update_company_from_dnb_data_fails_validation(dnb_response_uk, caplog): """ Test the update_company_from_dnb_data command when the company data does not pass validation checks. """ CompanyFactory(duns_number='123456789') dnb_response_uk['results'][0]['primary_name'] = 'a' * 9999 task_result = update_company_from_dnb_data.apply_async(args=[dnb_response_uk['results'][0]]) assert not task_result.successful() assert 'Data from D&B did not pass the Data Hub validation checks.' in caplog.text @pytest.mark.parametrize( 'existing_company_dnb_modified_on', ( now, None, ), ) @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_with_dnb_all_fields( requests_mock, dnb_response_uk, base_company_dict, existing_company_dnb_modified_on, caplog, ): """ Test the sync_outdated_companies_with_dnb task when all fields should be synced. """ caplog.set_level('INFO') if callable(existing_company_dnb_modified_on): existing_company_dnb_modified_on = existing_company_dnb_modified_on() requests_mock.post( DNB_SEARCH_URL, json=dnb_response_uk, ) company = CompanyFactory( duns_number='123456789', dnb_modified_on=existing_company_dnb_modified_on, ) original_company = Company.objects.get(id=company.id) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'dnb_modified_on_before': now() + timedelta(days=1), 'simulate': False, }, ) assert task_result.successful() company.refresh_from_db() uk_country = Country.objects.get(iso_alpha2_code='GB') assert model_to_dict_company(company) == { **base_company_dict, 'address_1': 'Unit 10, Ockham Drive', 'address_2': '', 'address_country': uk_country.id, 'address_county': '', 'address_postcode': 'UB6 0F2', 'address_town': 'GREENFORD', 'archived_documents_url_path': original_company.archived_documents_url_path, 'business_type': original_company.business_type_id, 'company_number': '01261539', 'created_by': original_company.created_by_id, 'duns_number': '123456789', 'employee_range': original_company.employee_range_id, 'export_experience_category': original_company.export_experience_category_id, 'global_ultimate_duns_number': '291332174', 'id': original_company.id, 'is_number_of_employees_estimated': True, 'modified_by': original_company.modified_by_id, 'name': 'FOO BICYCLE LIMITED', 'number_of_employees': 260, 'sector': original_company.sector_id, 'turnover': 50651895, 'turnover_range': original_company.turnover_range_id, 'uk_region': original_company.uk_region_id, 'dnb_modified_on': now(), } expected_message = f'Syncing dnb-linked company "{company.id}" Succeeded' assert expected_message in caplog.text @pytest.mark.parametrize( 'existing_company_dnb_modified_on', ( now, None, ), ) @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_with_dnb_partial_fields( requests_mock, dnb_response_uk, base_company_dict, existing_company_dnb_modified_on, caplog, ): """ Test the sync_outdated_companies_with_dnb task when only a subset of fields should be synced. """ caplog.set_level('INFO') if callable(existing_company_dnb_modified_on): existing_company_dnb_modified_on = existing_company_dnb_modified_on() requests_mock.post( DNB_SEARCH_URL, json=dnb_response_uk, ) company = CompanyFactory( duns_number='123456789', dnb_modified_on=existing_company_dnb_modified_on, ) original_company = Company.objects.get(id=company.id) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'fields_to_update': ['global_ultimate_duns_number'], 'dnb_modified_on_before': now() + timedelta(days=1), 'simulate': False, }, ) assert task_result.successful() company.refresh_from_db() assert model_to_dict(company) == { **base_company_dict, 'address_1': original_company.address_1, 'address_2': original_company.address_2, 'address_country': original_company.address_country_id, 'address_county': original_company.address_county, 'address_postcode': original_company.address_postcode, 'address_town': original_company.address_town, 'archived_documents_url_path': original_company.archived_documents_url_path, 'business_type': original_company.business_type_id, 'company_number': original_company.company_number, 'created_by': original_company.created_by_id, 'duns_number': original_company.duns_number, 'employee_range': original_company.employee_range_id, 'export_experience_category': original_company.export_experience_category_id, 'global_ultimate_duns_number': '291332174', 'id': original_company.id, 'is_number_of_employees_estimated': original_company.is_number_of_employees_estimated, 'is_turnover_estimated': original_company.is_turnover_estimated, 'modified_by': original_company.modified_by_id, 'name': original_company.name, 'number_of_employees': original_company.number_of_employees, 'registered_address_1': original_company.registered_address_1, 'registered_address_2': original_company.registered_address_2, 'registered_address_country': original_company.registered_address_country_id, 'registered_address_county': original_company.registered_address_county, 'registered_address_postcode': original_company.registered_address_postcode, 'registered_address_town': original_company.registered_address_town, 'sector': original_company.sector_id, 'trading_names': original_company.trading_names, 'turnover': original_company.turnover, 'turnover_range': original_company.turnover_range_id, 'uk_region': original_company.uk_region_id, 'website': original_company.website, 'dnb_modified_on': now(), } expected_message = f'Syncing dnb-linked company "{company.id}" Succeeded' assert expected_message in caplog.text @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_limit_least_recently_synced_is_updated( requests_mock, dnb_response_uk, ): """ Test that running sync_outdated_companies_with_dnb with a limit will update the least recently synced company. """ requests_mock.post( DNB_SEARCH_URL, json=dnb_response_uk, ) company_1 = CompanyFactory( duns_number='123456788', dnb_modified_on=now() - timedelta(days=1), ) original_company_1 = Company.objects.get(id=company_1.id) company_2 = CompanyFactory( duns_number='123456789', dnb_modified_on=now() - timedelta(days=2), ) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'fields_to_update': ['global_ultimate_duns_number'], 'dnb_modified_on_before': now() + timedelta(days=1), 'simulate': False, 'limit': 1, }, ) assert task_result.successful() company_1.refresh_from_db() company_2.refresh_from_db() # We expect company_1 to be unmodified assert company_1.dnb_modified_on == original_company_1.dnb_modified_on # We expect company_2 to be modified, as it was least recently synced with D&B assert company_2.dnb_modified_on == now() @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_limit_most_recently_interacted_updated( requests_mock, dnb_response_uk, ): """ Test that running sync_outdated_companies_with_dnb with a limit will update the most recently interacted company. """ requests_mock.post( DNB_SEARCH_URL, json=dnb_response_uk, ) company_most_recent_interaction = CompanyFactory( duns_number='123456789', dnb_modified_on=now() - timedelta(days=1), ) CompanyInteractionFactory(company=company_most_recent_interaction, date=now()) company_least_recent_interaction = CompanyFactory( duns_number='123456788', dnb_modified_on=now() - timedelta(days=1), ) CompanyInteractionFactory( company=company_least_recent_interaction, date=now() - timedelta(days=1), ) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'fields_to_update': ['global_ultimate_duns_number'], 'dnb_modified_on_before': now() + timedelta(days=1), 'simulate': False, 'limit': 1, }, ) company_least_recent_interaction.refresh_from_db() company_most_recent_interaction.refresh_from_db() assert task_result.successful() # We expect the least recently interacted company to be unmodified assert company_least_recent_interaction.dnb_modified_on == now() - timedelta(days=1) # We expect most recently interacted company to be modified assert company_most_recent_interaction.dnb_modified_on == now() @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_nothing_to_update( requests_mock, dnb_response_uk, ): """ Add two companies (one with dnb_modified_on>dnb_modified_on_before) and assert that only the outdated one is synced. """ company = CompanyFactory( duns_number='123456789', dnb_modified_on=now() - timedelta(days=5), ) original_company = Company.objects.get(id=company.id) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'fields_to_update': ['global_ultimate_duns_number'], 'dnb_modified_on_before': now() - timedelta(days=1), 'simulate': False, 'limit': 1, }, ) assert task_result.successful() company.refresh_from_db() # We expect the company to be unmodified assert company.dnb_modified_on == original_company.dnb_modified_on @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_simulation(caplog): """ Test that using simulation mode does not modify companies and logs correctly. """ caplog.set_level('INFO') company = CompanyFactory( duns_number='123456789', dnb_modified_on=now() - timedelta(days=5), ) original_company = Company.objects.get(id=company.id) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'fields_to_update': ['global_ultimate_duns_number'], 'dnb_modified_on_before': now() - timedelta(days=1), }, ) assert task_result.successful() company.refresh_from_db() # We expect the company to be unmodified assert company.dnb_modified_on == original_company.dnb_modified_on expected_message = f'[SIMULATION] Syncing dnb-linked company "{company.id}" Succeeded' assert expected_message in caplog.text @freeze_time('2019-01-01 11:12:13') def test_sync_outdated_companies_sync_task_failure_logs_error(caplog, monkeypatch): """ Test that when the sync_company_with_dnb sub-task fails, an error log is generated. """ caplog.set_level('WARNING') company = CompanyFactory( duns_number='123456789', dnb_modified_on=now() - timedelta(days=5), ) mocked_sync_company_with_dnb = mock.Mock(side_effect=Exception()) monkeypatch.setattr( 'datahub.dnb_api.tasks.sync_company_with_dnb.apply', mocked_sync_company_with_dnb, ) task_result = sync_outdated_companies_with_dnb.apply_async( kwargs={ 'fields_to_update': ['global_ultimate_duns_number'], 'dnb_modified_on_before': now() - timedelta(days=1), 'simulate': False, }, ) assert task_result.successful() expected_message = f'Syncing dnb-linked company "{company.id}" Failed' assert expected_message in caplog.text

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null

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null

0

6

b7da3fe30b4e183542a4534ffa1fb592f0ca447a

4,441

py

Python

panel/tests/template/test_vanilla_manual.py

datalayer-contrib/holoviz-panel

c97b57e8eaff4b5f542add41f496395da2483b23

[ "BSD-3-Clause" ]

1,130

2019-11-23T09:53:37.000Z

2022-03-31T11:30:07.000Z

panel/tests/template/test_vanilla_manual.py

datalayer-contrib/holoviz-panel

c97b57e8eaff4b5f542add41f496395da2483b23

[ "BSD-3-Clause" ]

2,265

2019-11-20T17:09:09.000Z

2022-03-31T22:09:38.000Z

panel/tests/template/test_vanilla_manual.py

datalayer-contrib/holoviz-panel

c97b57e8eaff4b5f542add41f496395da2483b23

[ "BSD-3-Clause" ]

215

2019-11-26T11:49:04.000Z

2022-03-30T10:23:11.000Z

import panel as pn import numpy as np import holoviews as hv LOGO = "https://panel.holoviz.org/_static/logo_horizontal.png" def test_vanilla_with_sidebar(): """Returns an app that uses the vanilla template in various ways. Inspect the app and verify that the issues of [Issue 1641]\ (https://github.com/holoviz/panel/issues/1641) have been solved - Navbar is "sticky"/ fixed to the top - Navbar supports adding header items to left, center and right - There is a nice padding/ margin everywhere - Independent scroll for sidebar and main - Only vertical scrollbars """ vanilla = pn.template.VanillaTemplate( title="Vanilla Template", logo=LOGO, ) xs = np.linspace(0, np.pi) freq = pn.widgets.FloatSlider(name="Frequency", start=0, end=10, value=2) phase = pn.widgets.FloatSlider(name="Phase", start=0, end=np.pi) @pn.depends(freq=freq, phase=phase) def sine(freq, phase): return hv.Curve((xs, np.sin(xs * freq + phase))).opts(responsive=True, min_height=400) @pn.depends(freq=freq, phase=phase) def cosine(freq, phase): return hv.Curve((xs, np.cos(xs * freq + phase))).opts(responsive=True, min_height=400) vanilla.sidebar.append(freq) vanilla.sidebar.append(phase) vanilla.sidebar.append(pn.pane.Markdown(test_vanilla_with_sidebar.__doc__)) vanilla.sidebar.append(pn.pane.Markdown("## Sidebar Item\n" * 50)) vanilla.main.append( pn.Row( pn.Card(hv.DynamicMap(sine), title="Sine"), pn.Card(hv.DynamicMap(cosine), title="Cosine"), ) ) vanilla.main.append( pn.Row( pn.Card(hv.DynamicMap(sine), title="Sine"), pn.Card(hv.DynamicMap(cosine), title="Cosine"), ) ) vanilla.header[:] = [ pn.Row( pn.widgets.Button(name="Left", sizing_mode="fixed", width=50), pn.layout.HSpacer(), pn.widgets.Button(name="Center", sizing_mode="fixed", width=50), pn.layout.HSpacer(), pn.widgets.Button(name="Right", sizing_mode="fixed", width=50), ) ] vanilla.main_max_width = "600px" return vanilla def test_vanilla_with_no_sidebar(): """Returns an app that uses the vanilla template in various ways. Inspect the app and verify that the issues of [Issue 1641]\ (https://github.com/holoviz/panel/issues/1641) have been solved - Navbar is "sticky"/ fixed to the top - Navbar supports adding header items to left, center and right - There is a nice padding/ margin everywhere - Independent scroll for sidebar and main - Only vertical scrollbars """ vanilla = pn.template.VanillaTemplate( title="Vanilla Template", logo=LOGO, favicon="https://raw.githubusercontent.com/MarcSkovMadsen/awesome-panel/2781d86d4ed141889d633748879a120d7d8e777a/assets/images/favicon.ico", ) xs = np.linspace(0, np.pi) freq = pn.widgets.FloatSlider(name="Frequency", start=0, end=10, value=2) phase = pn.widgets.FloatSlider(name="Phase", start=0, end=np.pi) @pn.depends(freq=freq, phase=phase) def sine(freq, phase): return hv.Curve((xs, np.sin(xs * freq + phase))).opts(responsive=True, min_height=400) @pn.depends(freq=freq, phase=phase) def cosine(freq, phase): return hv.Curve((xs, np.cos(xs * freq + phase))).opts(responsive=True, min_height=400) vanilla.main.append(freq) vanilla.main.append(phase) vanilla.main.append(pn.pane.Markdown(test_vanilla_with_no_sidebar.__doc__)) vanilla.main.append( pn.Row( pn.Card(hv.DynamicMap(sine), title="Sine"), pn.Card(hv.DynamicMap(cosine), title="Cosine"), ) ) vanilla.main.append( pn.Row( pn.Card(hv.DynamicMap(sine), title="Sine"), pn.Card(hv.DynamicMap(cosine), title="Cosine"), ) ) vanilla.header[:] = [ pn.Row( pn.widgets.Button(name="Left", sizing_mode="fixed", width=50), pn.layout.HSpacer(), pn.widgets.Button(name="Center", sizing_mode="fixed", width=50), pn.layout.HSpacer(), pn.widgets.Button(name="Right", sizing_mode="fixed", width=50), ) ] vanilla.main_max_width = "600px" return vanilla if __name__.startswith("bokeh"): pn.extension(sizing_mode="stretch_width") test_vanilla_with_sidebar().servable() # test_vanilla_with_no_sidebar().servable()

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null

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b7f134c6a936100819550db26ef9de3764c1ebf8

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py

Python

acq4/devices/PMT/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

1

2020-06-04T17:04:53.000Z

acq4/devices/PMT/__init__.py

aleonlein/acq4

4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555

[ "MIT" ]

24

2016-09-27T17:25:24.000Z

2017-03-02T21:00:11.000Z

acq4/devices/PMT/__init__.py

sensapex/acq4

9561ba73caff42c609bd02270527858433862ad8

[ "MIT" ]

4

2016-10-19T06:39:36.000Z

2019-09-30T21:06:45.000Z

from PMT import *

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py

Python

petalisp/__init__.py

marcoheisig/petalisp-for-python

6e388d8bbd3dd2b22650a232064b0783bc6048e7

[ "MIT" ]

7

2019-12-21T07:26:47.000Z

2021-09-28T19:11:23.000Z

petalisp/__init__.py

marcoheisig/petalisp-for-python

6e388d8bbd3dd2b22650a232064b0783bc6048e7

[ "MIT" ]

null

petalisp/__init__.py

marcoheisig/petalisp-for-python

6e388d8bbd3dd2b22650a232064b0783bc6048e7

[ "MIT" ]

null

from .ndarray import ndarray, array, compute

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null

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1

0

1

0

6

4d3460ada3eb577619d40d3bc1fa717cbd046ec0

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py

Python

module2/snippets/__init__.py

newnativeabq/DS-Unit-2-Kaggle-Challenge

cc57b171c0b0ec031f63446be67cbffc1600ae10

[ "MIT" ]

1

2019-08-13T15:22:14.000Z

module2/snippets/__init__.py

newnativeabq/DS-Unit-2-Kaggle-Challenge

cc57b171c0b0ec031f63446be67cbffc1600ae10

[ "MIT" ]

null

module2/snippets/__init__.py

newnativeabq/DS-Unit-2-Kaggle-Challenge

cc57b171c0b0ec031f63446be67cbffc1600ae10

[ "MIT" ]

null

from os import path import wget

15.5

19

0.83871

6

31

4.333333

0.833333

0

0.16129

31

2

20

15.5

1

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true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

6

4d3b8b0d6b6cf2fbb5048096488f39dd16ae9e94

89

py

Python

tests/test_script.py

mikhailshaganov/pyscript

4e27e02adc3069004ffbfee697d3b2de9d214207

[ "MIT" ]

null

tests/test_script.py

mikhailshaganov/pyscript

4e27e02adc3069004ffbfee697d3b2de9d214207

[ "MIT" ]

null

tests/test_script.py

mikhailshaganov/pyscript

4e27e02adc3069004ffbfee697d3b2de9d214207

[ "MIT" ]

1

2022-02-16T10:09:00.000Z

def main(): return "foo" def failure(): raise RuntimeError("This is an error")

12.714286

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0.629213

12

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0.235955

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true

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1

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null

0

1

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1

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6

4dbe216a1749c292d85ec471a4f3142bb7d4a572

260

py

Python

emtex_common_utils/__init__.py

am1ty9d9v/emtex_common_utils

deb46b44a649563483473a0bb799be8158035e23

[ "BSD-3-Clause" ]

null

emtex_common_utils/__init__.py

am1ty9d9v/emtex_common_utils

deb46b44a649563483473a0bb799be8158035e23

[ "BSD-3-Clause" ]

null

emtex_common_utils/__init__.py

am1ty9d9v/emtex_common_utils

deb46b44a649563483473a0bb799be8158035e23

[ "BSD-3-Clause" ]

null

from threading import local __version__ = '0.4' __thread_locals = local() def get_current_user(): return getattr(__thread_locals, 'emtex_user', 'AnonymousUser') def set_current_user(user_email): setattr(__thread_locals, 'emtex_user', user_email)

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0

null

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null

0

1

0

1

0

6

4dc4676cc1d84267195c4ef0af83df15ed9f6217

21

py

Python

evesso/__init__.py

mobiusxs/evesso

802cd257336d35a171293b5812c5367afdbcbd85

[ "MIT" ]

null

evesso/__init__.py

mobiusxs/evesso

802cd257336d35a171293b5812c5367afdbcbd85

[ "MIT" ]

null

evesso/__init__.py

mobiusxs/evesso

802cd257336d35a171293b5812c5367afdbcbd85

[ "MIT" ]

null

from .sso import SSO

10.5

20

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4

21

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0

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1

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0

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1

0

1

0

1

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6

4dde454130ab8a7a87896a83023a53721de84f3e

850

py

Python

alpyro_msgs/tf/tfmessage.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

1

2020-12-13T13:07:10.000Z

alpyro_msgs/tf/tfmessage.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

null

alpyro_msgs/tf/tfmessage.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

null

from typing import List from typing_extensions import Annotated from alpyro_msgs import RosMessage from alpyro_msgs.geometry_msgs.transformstamped import TransformStamped class tfMessage(RosMessage): __msg_typ__ = "tf/tfMessage" __msg_def__ = "Z2VvbWV0cnlfbXNncy9UcmFuc2Zvcm1TdGFtcGVkW10gdHJhbnNmb3JtcwogIHN0ZF9tc2dzL0hlYWRlciBoZWFkZXIKICAgIHVpbnQzMiBzZXEKICAgIHRpbWUgc3RhbXAKICAgIHN0cmluZyBmcmFtZV9pZAogIHN0cmluZyBjaGlsZF9mcmFtZV9pZAogIGdlb21ldHJ5X21zZ3MvVHJhbnNmb3JtIHRyYW5zZm9ybQogICAgZ2VvbWV0cnlfbXNncy9WZWN0b3IzIHRyYW5zbGF0aW9uCiAgICAgIGZsb2F0NjQgeAogICAgICBmbG9hdDY0IHkKICAgICAgZmxvYXQ2NCB6CiAgICBnZW9tZXRyeV9tc2dzL1F1YXRlcm5pb24gcm90YXRpb24KICAgICAgZmxvYXQ2NCB4CiAgICAgIGZsb2F0NjQgeQogICAgICBmbG9hdDY0IHoKICAgICAgZmxvYXQ2NCB3Cgo=" __md5_sum__ = "94810edda583a504dfda3829e70d7eec" transforms: Annotated[List[TransformStamped], 0, 0]

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6

1290c49aa10f380de2235fa6bc74327e05622e0d

204

py

Python

test/python/utils.py

adonmo/meos

123d138f1fda8a65a4e09b5e74d51cfd4e69287e

[ "MIT" ]

13

2020-09-14T07:02:50.000Z

2022-03-31T08:07:33.000Z

test/python/utils.py

adonmo/meos

123d138f1fda8a65a4e09b5e74d51cfd4e69287e

[ "MIT" ]

25

2020-07-11T21:10:18.000Z

2020-11-10T20:32:56.000Z

test/python/utils.py

adonmo/meos

123d138f1fda8a65a4e09b5e74d51cfd4e69287e

[ "MIT" ]

1

2020-09-17T14:31:05.000Z

import datetime def unix_dt(year, month, day, hour=0, minute=0, second=0, microsecond=0): return datetime.datetime(year, month, day, hour, minute, second, microsecond, tzinfo=datetime.timezone.utc)

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6

12b7945cae9cdab5f76e1805410f924956d5df84

18,605

py

Python

thor/testing/orbit_testing.py

B612-Asteroid-Institute/thor

d3d1dcbe86f67a62c90b4cde3fc577e414825cf2

[ "BSD-3-Clause" ]

null

thor/testing/orbit_testing.py

B612-Asteroid-Institute/thor

d3d1dcbe86f67a62c90b4cde3fc577e414825cf2

[ "BSD-3-Clause" ]

null

thor/testing/orbit_testing.py

B612-Asteroid-Institute/thor

d3d1dcbe86f67a62c90b4cde3fc577e414825cf2

[ "BSD-3-Clause" ]

null

import numpy as np from astropy import units as u __all__ = [ "testCartesianOrbits", "testKeplerianOrbits", "testCometaryOrbits", "testOrbits", ] def __statsToErrorMessage(stats, message): """ Helper function that adds the stats derived from _evaluateDifference to an error message. """ for stat, value in stats.items(): message += (" {:<7}: {}\n".format(stat, value.T)) message += "\n" return message def _evaluateDifference( actual, desired, unit, tol, magnitude=False ): """ Calculate the absolute difference between actual and desired and return it in the same units of the given tolerance with some summary statistics on the absolute difference. Paramters --------- actual : `~numpy.ndarray` (N, M) Array of computed values. desired : `~numpy.ndarray` (N, M) Array of desired values. unit : `astropy.units.core.Unit` Units in which both arrays are expressed. Must be the same. tol : `~astropy.units.quantity.Quantity` (1) The tolerance to which the absolute difference will be evaluated to. Used purely to convert the absolute differences to the same units as the tolerance. Returns ------- diff : `~astropy.units.quantity.Quantity` (N, M) |actual - desired| in units of the given tolerance. stats : dict "Mean" : mean difference per M dimension "Median" : median difference per M dimension "Min" : minimum difference per M dimension "Max" : maximum difference per M dimension "Argmin" : location of minimum difference per M dimension "Argmax" : location of maximum difference per M dimension error : bool True if diff is not within the desired tolerance. """ error = False diff = np.abs(actual - desired) * unit diff = diff.to(tol.unit) if magnitude: diff = np.linalg.norm(diff, axis=1) diff = diff[:, np.newaxis] tol_ = np.empty_like(diff) tol_.fill(tol) stats = { "Mean" : np.mean(diff, axis=0), "Median" : np.median(diff, axis=0), "Std" : np.std(diff, axis=0), "Min" : np.min(diff, axis=0), "Max" : np.max(diff, axis=0), "Argmin" : np.argmin(diff, axis=0), "Argmax" : np.argmax(diff, axis=0) } try: np.testing.assert_array_less( diff.to(tol.unit), tol_.to(tol.unit), ) except AssertionError as e: error = True return diff, stats, error def testCartesianOrbits( orbits_actual, orbits_desired, position_tol=1*u.m, velocity_tol=(1*u.mm/u.s), magnitude=True, raise_error=True ): """ Tests that the two sets of cartesian orbits are within the desired absolute tolerances of each other. The absolute difference is calculated as |actual - desired|. Parameters ---------- orbits_actual : `~numpy.ndarray` (N, 6) Array of orbits to compare to the desired orbits. Assumed units for: positions : AU, velocities : AU per day orbits_desired : `~numpy.ndarray` (N, 6) Array of desired orbits to which to compare the actual orbits to. Assumed units for: positions : AU, velocities : AU per day orbit_type : {'cartesian', 'keplerian', 'cometary'} Type of the input orbits. Both actual and desired orbits must be of the same type. position_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance positions need to satisfy (x, y, z, r). velocity_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance velocity need to satisfy. (vx, vy, vz, v). magnitude : bool Test the magnitude of the position difference and velocity difference vectors as opposed to testing per individual coordinate. Raises ------ AssertionError: If |orbits_actual - orbits_desired| > tolerance. Returns ------- None """ any_error = False error_message = "\n" differences = {} statistics = {} # Test positions if magnitude: names = ["r"] else: names = ["x", "y", "z"] diff, stats, error = _evaluateDifference( orbits_actual[:, :3], orbits_desired[:, :3], u.AU, position_tol, magnitude=magnitude ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), position_tol) error_message = __statsToErrorMessage( stats, error_message ) # Test velocities if magnitude: names = ["v"] else: names = ["vx", "vy", "vz"] diff, stats, error = _evaluateDifference( orbits_actual[:, 3:], orbits_desired[:, 3:], (u.AU / u.d), velocity_tol, magnitude=magnitude ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), velocity_tol) error_message = __statsToErrorMessage( stats, error_message ) if any_error and raise_error: raise AssertionError(error_message) return differences, statistics, error def testKeplerianOrbits( orbits_actual, orbits_desired, position_tol=1*u.m, unitless_tol=1e-10*u.dimensionless_unscaled, angle_tol=1e-10*u.degree, raise_error=True ): """ Tests that the two sets of keplerian orbits are within the desired absolute tolerances of each other. The absolute difference is calculated as |actual - desired|. Parameters ---------- orbits_actual : `~numpy.ndarray` (N, 6) Array of orbits to compare to the desired orbits. Assumed units for: positions : AU, angles : degrees orbits_desired : `~numpy.ndarray` (N, 6) Array of desired orbits to which to compare the actual orbits to. Assumed units for: positions : AU, angles : degrees position_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance positions need to satisfy (a). unitless_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance unitless quantities need to satisfy (e). angle_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance angle quantities need to satisfy (i, ascNode, argPeri, meanAnom). Raises ------ AssertionError: If |orbits_actual - orbits_desired| > tolerance. Returns ------- None """ any_error = False error_message = "\n" differences = {} statistics = {} # Test positions names = ["a"] diff, stats, error = _evaluateDifference( orbits_actual[:, :1], orbits_desired[:, :1], u.AU, position_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), position_tol) error_message = __statsToErrorMessage( stats, error_message ) # Test unitless (eccentricity) names = ["e"] diff, stats, error = _evaluateDifference( orbits_actual[:, 1:2], orbits_desired[:, 1:2], u.dimensionless_unscaled, unitless_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), unitless_tol) error_message = __statsToErrorMessage( stats, error_message ) # Test angles names = ["i", "ascNode", "argPeri", "meanAnom"] diff, stats, error = _evaluateDifference( orbits_actual[:, 2:], orbits_desired[:, 2:], u.degree, angle_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), angle_tol) error_message = __statsToErrorMessage( stats, error_message ) if any_error and raise_error: raise AssertionError(error_message) return diff, stats, error def testCometaryOrbits( orbits_actual, orbits_desired, position_tol=1*u.m, unitless_tol=1e-10*u.dimensionless_unscaled, angle_tol=1e-10*u.degree, time_tol=1e-6*u.s, raise_error=True ): """ Tests that the two sets of cometary orbits are within the desired absolute tolerances of each other. The absolute difference is calculated as |actual - desired|. Parameters ---------- orbits_actual : `~numpy.ndarray` (N, 6) Array of orbits to compare to the desired orbits. Assumed units for: positions : AU, velocities : AU per day, angles : degrees, times : days orbits_desired : `~numpy.ndarray` (N, 6) Array of desired orbits to which to compare the actual orbits to. Assumed units for: positions : AU, velocities : AU per day, angles : degrees, times : days position_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance positions need to satisfy (q). unitless_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance unitless quantities need to satisfy (e). angle_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance angle quantities need to satisfy (i, ascNode, argPeri). time_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance time quantities need to satisfy (tPeri). Raises ------ AssertionError: If |orbits_actual - orbits_desired| > tolerance. Returns ------- None """ any_error = False error_message = "\n" differences = {} statistics = {} # Test positions names = ["q"] diff, stats, error = _evaluateDifference( orbits_actual[:, :1], orbits_desired[:, :1], u.AU, position_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), position_tol) error_message = __statsToErrorMessage( stats, error_message ) # Test unitless (eccentricity) names = ["e"] diff, stats, error = _evaluateDifference( orbits_actual[:, 1:2], orbits_desired[:, 1:2], u.dimensionless_unscaled, unitless_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), unitless_tol) error_message = __statsToErrorMessage( stats, error_message ) # Test angles names = ["i", "ascNode", "argPeri"] diff, stats, error = _evaluateDifference( orbits_actual[:, 2:5], orbits_desired[:, 2:5], u.degree, angle_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), angle_tol) error_message = __statsToErrorMessage( stats, error_message ) # Test time (time of perihelion passage) names = ["tPeri"] diff, stats, error = _evaluateDifference( orbits_actual[:, 5:], orbits_desired[:, 5:], u.d, time_tol, magnitude=False ) for i, n in enumerate(names): differences[n] = diff[:, i] statistics[n] = {k : v[i] for k, v in stats.items()} # If any of the differences between desired and actual are # greater than the allowed tolerance set any_error to True # and build the error message if error: any_error = True error_message += "{} difference (|actual - desired|) is not within {}.\n".format(", ".join(names), time_tol) error_message = __statsToErrorMessage( stats, error_message ) if any_error and raise_error: raise AssertionError(error_message) return diff, stats, error def testOrbits( orbits_actual, orbits_desired, orbit_type="cartesian", position_tol=1*u.m, velocity_tol=(1*u.m / u.s), unitless_tol=1e-10*u.dimensionless_unscaled, angle_tol=1e-10*u.degree, time_tol=1e-6*u.s, magnitude=True, raise_error=True ): """ Tests that the two sets of orbits are within the desired absolute tolerances of each other. The absolute difference is calculated as |actual - desired|. Parameters ---------- orbits_actual : `~numpy.ndarray` (N, 6) Array of orbits to compare to the desired orbits. Assumed units for: positions : AU, velocities : AU per day, angles : degrees, times : days orbits_desired : `~numpy.ndarray` (N, 6) Array of desired orbits to which to compare the actual orbits to. Assumed units for: positions : AU, velocities : AU per day, angles : degrees, times : days orbit_type : {'cartesian', 'keplerian', 'cometary'} Type of the input orbits. Both actual and desired orbits must be of the same type. position_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance positions need to satisfy (a, q, x, y, z, r). velocity_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance velocity need to satisfy. (vx, vy, vz, v). unitless_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance unitless quantities need to satisfy (e). angle_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance angle quantities need to satisfy (i, ascNode, argPeri, meanAnom). time_tol : `~astropy.units.quantity.Quantity` (1) Absolute tolerance time quantities need to satisfy (tPeri). magnitude : bool Applies to cartesian orbits only. Test the magnitude of the position difference and velocity difference vectors as opposed to testing per individual coordinate. Raises ------ AssertionError: If |orbits_actual - orbits_desired| > tolerance. ValueError: If orbit_type is not one of 'cartesian', 'keplerian' or 'cometary'. Returns ------- None """ if orbit_type == "cartesian": diff, stats, error = testCartesianOrbits( orbits_actual, orbits_desired, position_tol=position_tol, velocity_tol=velocity_tol, magnitude=magnitude, raise_error=raise_error ) elif orbit_type == "keplerian": diff, stats, error = testKeplerianOrbits( orbits_actual, orbits_desired, position_tol=position_tol, unitless_tol=unitless_tol, angle_tol=angle_tol, raise_error=raise_error ) elif orbit_type == "cometary": diff, stats, error = testCometaryOrbits( orbits_actual, orbits_desired, position_tol=position_tol, unitless_tol=unitless_tol, angle_tol=angle_tol, time_tol=time_tol, raise_error=raise_error ) else: err = "orbit_type should be one of {'cartesian', 'keplerian', 'cometary'}" raise ValueError(err) return diff, stats, error

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12d488a01f4a218078e7f7ef565f61d526cd6624

130

py

Python

29/00/0.py

pylangstudy/201709

53d868786d7327a83bfa7f4149549c6f9855a6c6

[ "CC0-1.0" ]

null

29/00/0.py

pylangstudy/201709

53d868786d7327a83bfa7f4149549c6f9855a6c6

[ "CC0-1.0" ]

32

2017-09-01T00:52:17.000Z

2017-10-01T00:30:02.000Z

29/00/0.py

pylangstudy/201709

53d868786d7327a83bfa7f4149549c6f9855a6c6

[ "CC0-1.0" ]

null

from decimal import * getcontext().prec = 6 print(Decimal(1) / Decimal(7)) getcontext().prec = 28 print(Decimal(1) / Decimal(7))

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12e25d8c5423a121c67fb76110c061493287d288

6,589

py

Python

zunclient/tests/unit/v1/test_client.py

slimit/python-zunclient

711d28902812178de73d44b06b2ab326026b644b

[ "Apache-2.0" ]

null

zunclient/tests/unit/v1/test_client.py

slimit/python-zunclient

711d28902812178de73d44b06b2ab326026b644b

[ "Apache-2.0" ]

null

zunclient/tests/unit/v1/test_client.py

slimit/python-zunclient

711d28902812178de73d44b06b2ab326026b644b

[ "Apache-2.0" ]

null

# Copyright (c) 2015 Thales Services SAS # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import mock import testtools from zunclient.v1 import client class ClientTest(testtools.TestCase): @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.session.Session') def test_init_with_session(self, mock_session, http_client): session = mock.Mock() client.Client(session=session) mock_session.assert_not_called() http_client.assert_called_once_with( interface='public', region_name=None, service_name=None, service_type='container', session=session, api_version=None) @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.token_endpoint.Token') @mock.patch('keystoneauth1.session.Session') def test_init_with_token_and_url( self, mock_session, mock_token, http_client): mock_auth_plugin = mock.Mock() mock_token.return_value = mock_auth_plugin session = mock.Mock() mock_session.return_value = session client.Client(auth_token='mytoken', endpoint_override='http://myurl/') mock_session.assert_called_once_with( auth=mock_auth_plugin, cert=None, verify=True) http_client.assert_called_once_with( endpoint_override='http://myurl/', interface='public', region_name=None, service_name=None, service_type='container', session=session, api_version=None) @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.loading.get_plugin_loader') @mock.patch('keystoneauth1.session.Session') def test_init_with_token( self, mock_session, mock_loader, http_client): mock_plugin = mock.Mock() mock_loader.return_value = mock_plugin client.Client(auth_token='mytoken', auth_url='authurl') mock_loader.assert_called_once_with('token') mock_plugin.load_from_options.assert_called_once_with( auth_url='authurl', project_id=None, project_name=None, project_domain_id=None, project_domain_name=None, user_domain_id=None, user_domain_name=None, token='mytoken') http_client.assert_called_once_with( interface='public', region_name=None, service_name=None, service_type='container', session=mock.ANY, api_version=None) @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.loading.get_plugin_loader') @mock.patch('keystoneauth1.session.Session') def test_init_with_user( self, mock_session, mock_loader, http_client): mock_plugin = mock.Mock() mock_loader.return_value = mock_plugin client.Client(username='myuser', auth_url='authurl') mock_loader.assert_called_once_with('password') mock_plugin.load_from_options.assert_called_once_with( auth_url='authurl', username='myuser', password=None, project_domain_id=None, project_domain_name=None, user_domain_id=None, user_domain_name=None, project_id=None, project_name=None) http_client.assert_called_once_with( interface='public', region_name=None, service_name=None, service_type='container', session=mock.ANY, api_version=None) @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.loading.get_plugin_loader') @mock.patch('keystoneauth1.session.Session') def test_init_unauthorized( self, mock_session, mock_loader, http_client): mock_plugin = mock.Mock() mock_loader.return_value = mock_plugin mock_session_obj = mock.Mock() mock_session.return_value = mock_session_obj mock_session_obj.get_endpoint.side_effect = Exception() self.assertRaises( RuntimeError, client.Client, username='myuser', auth_url='authurl') mock_loader.assert_called_once_with('password') mock_plugin.load_from_options.assert_called_once_with( auth_url='authurl', username='myuser', password=None, project_domain_id=None, project_domain_name=None, user_domain_id=None, user_domain_name=None, project_id=None, project_name=None) http_client.assert_not_called() @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.session.Session') def test_init_with_endpoint_override(self, mock_session, http_client): session = mock.Mock() client.Client(session=session, endpoint_override='zunurl') mock_session.assert_not_called() http_client.assert_called_once_with( interface='public', region_name=None, service_name=None, service_type='container', session=session, endpoint_override='zunurl', api_version=None) @mock.patch('zunclient.common.httpclient.SessionClient') @mock.patch('keystoneauth1.session.Session') def test_init_with_zun_url_and_endpoint_override(self, mock_session, http_client): session = mock.Mock() client.Client(session=session, zun_url='zunurl', endpoint_override='zunurl') mock_session.assert_not_called() http_client.assert_called_once_with( interface='public', region_name=None, service_name=None, service_type='container', session=session, endpoint_override='zunurl', api_version=None)

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0.048611

false

0.027778

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0

null

0

1

0

1

0

null

0

6

12ee0a341e21bd37ddae43bcc71c372808cc151d

7,728

py

Python

lenstronomy/GalKin/aperture_types.py

heather999/lenstronomy

8102fe026c1f3ba6e81d8a1f59cceb90e68430b4

[ "MIT" ]

107

2017-08-25T20:03:51.000Z

2022-03-30T19:52:21.000Z

lenstronomy/GalKin/aperture_types.py

heather999/lenstronomy

8102fe026c1f3ba6e81d8a1f59cceb90e68430b4

[ "MIT" ]

235

2017-06-07T13:30:53.000Z

2022-03-28T12:44:04.000Z

lenstronomy/GalKin/aperture_types.py

heather999/lenstronomy

8102fe026c1f3ba6e81d8a1f59cceb90e68430b4

[ "MIT" ]

68

2018-02-01T15:47:20.000Z

2022-03-27T12:44:32.000Z

__author__ = 'sibirrer' import numpy as np from lenstronomy.Util.package_util import exporter export, __all__ = exporter() @export class Slit(object): """ Slit aperture description """ def __init__(self, length, width, center_ra=0, center_dec=0, angle=0): """ :param length: length of slit :param width: width of slit :param center_ra: center of slit :param center_dec: center of slit :param angle: orientation angle of slit, angle=0 corresponds length in RA direction """ self._length = length self._width = width self._center_ra, self._center_dec = center_ra, center_dec self._angle = angle def aperture_select(self, ra, dec): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :return: bool, True if photon/ray is within the slit, False otherwise """ return slit_select(ra, dec, self._length, self._width, self._center_ra, self._center_dec, self._angle), 0 @property def num_segments(self): """ number of segments with separate measurements of the velocity dispersion :return: int """ return 1 @export def slit_select(ra, dec, length, width, center_ra=0, center_dec=0, angle=0): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :param length: length of slit :param width: width of slit :param center_ra: center of slit :param center_dec: center of slit :param angle: orientation angle of slit, angle=0 corresponds length in RA direction :return: bool, True if photon/ray is within the slit, False otherwise """ ra_ = ra - center_ra dec_ = dec - center_dec x = np.cos(angle) * ra_ + np.sin(angle) * dec_ y = - np.sin(angle) * ra_ + np.cos(angle) * dec_ if abs(x) < length / 2. and abs(y) < width / 2.: return True else: return False @export class Frame(object): """ rectangular box with a hole in the middle (also rectangular), effectively a frame """ def __init__(self, width_outer, width_inner, center_ra=0, center_dec=0, angle=0): """ :param width_outer: width of box to the outer parts :param width_inner: width of inner removed box :param center_ra: center of slit :param center_dec: center of slit :param angle: orientation angle of slit, angle=0 corresponds length in RA direction """ self._width_outer = width_outer self._width_inner = width_inner self._center_ra, self._center_dec = center_ra, center_dec self._angle = angle def aperture_select(self, ra, dec): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :return: bool, True if photon/ray is within the slit, False otherwise """ return frame_select(ra, dec, self._width_outer, self._width_inner, self._center_ra, self._center_dec, self._angle), 0 @property def num_segments(self): """ number of segments with separate measurements of the velocity dispersion :return: int """ return 1 @export def frame_select(ra, dec, width_outer, width_inner, center_ra=0, center_dec=0, angle=0): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :param width_outer: width of box to the outer parts :param width_inner: width of inner removed box :param center_ra: center of slit :param center_dec: center of slit :param angle: orientation angle of slit, angle=0 corresponds length in RA direction :return: bool, True if photon/ray is within the box with a hole, False otherwise """ ra_ = ra - center_ra dec_ = dec - center_dec x = np.cos(angle) * ra_ + np.sin(angle) * dec_ y = - np.sin(angle) * ra_ + np.cos(angle) * dec_ if abs(x) < width_outer / 2. and abs(y) < width_outer / 2.: if abs(x) < width_inner / 2. and abs(y) < width_inner / 2.: return False else: return True return False @export class Shell(object): """ Shell aperture """ def __init__(self, r_in, r_out, center_ra=0, center_dec=0): """ :param r_in: innermost radius to be selected :param r_out: outermost radius to be selected :param center_ra: center of the sphere :param center_dec: center of the sphere """ self._r_in, self._r_out = r_in, r_out self._center_ra, self._center_dec = center_ra, center_dec def aperture_select(self, ra, dec): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :return: bool, True if photon/ray is within the slit, False otherwise """ return shell_select(ra, dec, self._r_in, self._r_out, self._center_ra, self._center_dec), 0 @property def num_segments(self): """ number of segments with separate measurements of the velocity dispersion :return: int """ return 1 @export def shell_select(ra, dec, r_in, r_out, center_ra=0, center_dec=0): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :param r_in: innermost radius to be selected :param r_out: outermost radius to be selected :param center_ra: center of the sphere :param center_dec: center of the sphere :return: boolean, True if within the radial range, False otherwise """ x = ra - center_ra y = dec - center_dec R = np.sqrt(x ** 2 + y ** 2) if (R >= r_in) and (R < r_out): return True else: return False @export class IFUShells(object): """ class for an Integral Field Unit spectrograph with azimuthal shells where the kinematics are measured """ def __init__(self, r_bins, center_ra=0, center_dec=0): """ :param r_bins: array of radial bins to average the dispersion spectra in ascending order. It starts with the inner-most edge to the outermost edge. :param center_ra: center of the sphere :param center_dec: center of the sphere """ self._r_bins = r_bins self._center_ra, self._center_dec = center_ra, center_dec def aperture_select(self, ra, dec): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :return: bool, True if photon/ray is within the slit, False otherwise, index of shell """ return shell_ifu_select(ra, dec, self._r_bins, self._center_ra, self._center_dec) @property def num_segments(self): """ number of segments with separate measurements of the velocity dispersion :return: int """ return len(self._r_bins) - 1 @export def shell_ifu_select(ra, dec, r_bin, center_ra=0, center_dec=0): """ :param ra: angular coordinate of photon/ray :param dec: angular coordinate of photon/ray :param r_bin: array of radial bins to average the dispersion spectra in ascending order. It starts with the inner-most edge to the outermost edge. :param center_ra: center of the sphere :param center_dec: center of the sphere :return: boolean, True if within the radial range, False otherwise """ x = ra - center_ra y = dec - center_dec R = np.sqrt(x ** 2 + y ** 2) for i in range(0, len(r_bin) - 1): if (R >= r_bin[i]) and (R < r_bin[i+1]): return True, i return False, None

31.802469

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4.290876

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0.064

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0.840421

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0.808632

0.791368

0.767579

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7,728

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0.443182

0

null

0

1

0

null

0

6

42a30d3b080731c1b09661da2d8e4fe98f15c6b5

36

py

Python

day23/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

4

2020-12-03T13:22:12.000Z

2020-12-22T21:51:49.000Z

day23/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

null

day23/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

1

2020-12-12T13:41:12.000Z

INPUT = [2, 5, 3, 1, 4, 9, 8, 6, 7]

18

35

0.388889

10

36

1.4

1

0

0.36

0.305556

36

1

36

0.2

0

1

0

false

0

1

null

0

1

0

1

0

1

0

null

0

6

c42271cfd5cc6293f5f27295a3b3b5344b4efe90

70

py

Python

pynemo/core/base/__init__.py

SSripilaipong/pynemo

f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f

[ "MIT" ]

null

pynemo/core/base/__init__.py

SSripilaipong/pynemo

f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f

[ "MIT" ]

null

pynemo/core/base/__init__.py

SSripilaipong/pynemo

f4dedd2599ec78b2ffe73f55b1d2b8b5da1b1e7f

[ "MIT" ]

null

from .model import * from .statement import * from .property import *

17.5

24

0.742857

9

70

5.777778

0.555556

0.384615

0

0.171429

70

3

25

23.333333

0.896552

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

c42d9414508e5f1e2149a0e02694000022c112e3

158

py

Python

nerf/__init__.py

SauravMaheshkar/NeRF

4d3a346ec1ca50fdd99c60d4559ecea61ced1599

[ "MIT" ]

2

2022-01-31T11:06:11.000Z

2022-01-31T13:43:56.000Z

nerf/__init__.py

SauravMaheshkar/NeRF

4d3a346ec1ca50fdd99c60d4559ecea61ced1599

[ "MIT" ]

1

2022-01-19T10:10:35.000Z

nerf/__init__.py

SauravMaheshkar/NeRF

4d3a346ec1ca50fdd99c60d4559ecea61ced1599

[ "MIT" ]

null

from nerf.datasets import LLFF, Blender, Dataset # noqa: F401 from nerf.model_utils import MLP # noqa: F401 from nerf.models import NerfModel # noqa: F401

39.5

62

0.765823

24

158

5

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0.2

0.266667

0

0.068182

0.164557

158

3

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52.666667

0.840909

0.202532

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

c452b294491289a80c1da6c76b645009b765ffcf

23,907

py

Python

hanibal/ans_reporte/crear_informe_cobros_automaticos_excel.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

hanibal/ans_reporte/crear_informe_cobros_automaticos_excel.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

hanibal/ans_reporte/crear_informe_cobros_automaticos_excel.py

Christian-Castro/castro_odoo8

8247fdb20aa39e043b6fa0c4d0af509462ab3e00

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- import openpyxl from openpyxl import Workbook import openpyxl.worksheet import unicodedata from copy import deepcopy from openpyxl.chart import ( Reference, Series, BarChart ) from openpyxl.chart.marker import DataPoint from openpyxl.drawing.fill import PatternFillProperties, ColorChoice from openpyxl import Workbook from openpyxl.styles import PatternFill, Border, Side, Alignment, Protection, Font from openpyxl.styles.borders import Border, Side from openpyxl.drawing.image import Image from datetime import datetime, date, timedelta import time import locale global root def crear_wb_informe(): wb = openpyxl.Workbook() return wb def unicodeText(text): try: text = unicodedata.unicode(text, 'utf-8') except TypeError: return text def crea_hoja_info(wb, title, flag): sheet = wb.active if(flag == 0): #sheet.page_setup.paperSize = sheet.PAPERSIZE_A4_SMALL #sheet.print_options.scale = 100 sheet.page_margins.left = 0.1 sheet.page_margins.right = 0.1 sheet.page_margins.top = 0.5 sheet.page_margins.bottom = 0.5 #sheet.page_setup.orientation = sheet.ORIENTATION_PORTRAIT #sheet.sheet_properties.pageSetUpPr.fitToPage = True sheet.page_setup.fitToWidht = False #sheet.print_options.horizontalCentered = True if(flag == 1): #sheet.page_setup.paperSize = sheet.PAPERSIZE_A4_SMALL #sheet.print_options.scale = 100 #sheet.sheet_properties.pageSetUpPr.fitToPage = True sheet.page_setup.fitToWidth = False sheet.page_margins.left = 0.1 sheet.page_margins.right = 0.1 sheet.page_margins.top = 0.5 sheet.page_margins.bottom = 0.5 #sheet.page_setup.orientation = sheet.ORIENTATION_PORTRAIT #sheet.print_options.horizontalCentered = True sheet.title = title return sheet def crea_hoja_info_pdf(wb, title, flag): sheet = wb.active if(flag == 0): #sheet.page_setup.paperSize = sheet.PAPERSIZE_A4_SMALL #sheet.print_options.scale = 100 sheet.page_margins.left = 0.1 sheet.page_margins.right = 0.1 sheet.page_margins.top = 0.5 sheet.page_margins.bottom = 0.5 #sheet.page_setup.orientation = sheet.ORIENTATION_PORTRAIT #sheet.sheet_properties.pageSetUpPr.fitToPage = True sheet.page_setup.fitToWidht = False #sheet.print_options.horizontalCentered = True if(flag == 1): #sheet.page_setup.paperSize = sheet.PAPERSIZE_A4_SMALL #sheet.print_options.scale = 100 #sheet.sheet_properties.pageSetUpPr.fitToPage = True sheet.page_setup.fitToWidth = False sheet.page_margins.left = 0.1 sheet.page_margins.right = 0.1 sheet.page_margins.top = 0.5 sheet.page_margins.bottom = 0.5 #sheet.page_setup.orientation = sheet.ORIENTATION_PORTRAIT #sheet.print_options.horizontalCentered = True sheet.title = title return sheet def border_tabla(sheet, col, colfin, fil, filfin, styleleft, styletop, styleright, stylebottom): colfin=colfin+1 filfin=filfin+2 border_cell = Border(left=Side(style=styleleft), top=Side(style=styletop), right=Side(style=styleright), bottom=Side(style=stylebottom)) for i in range(fil, filfin-1): for j in range(col, colfin): sheet.cell(row=i, column=j).border = border_cell def columnas_filas(sheet, flag, celda, value): if (flag == 0): sheet.column_dimensions[celda].width = value if (flag == 1): sheet.row_dimensions[int(celda)].height = value def poner_border(sheet, fil, col, styleleft, styletop, styleright, stylebottom): border_cell = Border(left=Side(style=styleleft), top=Side(style=styletop), right=Side(style=styleright), bottom=Side(style=stylebottom)) sheet.cell(row=fil, column=col).border = border_cell def Informe(sheet, dic,lista_alumnos): columnas_filas(sheet, 0, 'A', 10.00) columnas_filas(sheet, 0, 'B', 5.00) columnas_filas(sheet, 0, 'C', 10.00) columnas_filas(sheet, 0, 'D', 7.00) columnas_filas(sheet, 0, 'E', 12.00) columnas_filas(sheet, 0, 'F', 10.00) columnas_filas(sheet, 0, 'G', 10.00) columnas_filas(sheet, 0, 'H', 7.00) columnas_filas(sheet, 0, 'I', 10.00) alignment_title = Alignment(horizontal='center', vertical='center') fuente = Font(bold=False, size=6, name='arial') fuente3 = Font(bold=True, size=8, name='arial') fuente2 = Font(bold=True, size=6, name='arial') fila = 3 fila1 = 2 acum=1 cont=0 col=2 col1=4 fil=4 coli=2 colf=2 sheet.merge_cells('A2:I2') sheet['A2'].alignment = alignment_title.copy(wrapText=True,horizontal='center', vertical='top') sheet['A2'].font = fuente3 sheet['A2']= 'Listado de Cheques y Ordenes de Pago' sheet['H1'].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['H1'].font = fuente2 sheet['H1']= 'Usuario' usuario_id=str(dic['usuario_id'].encode('utf-8')) sheet.merge_cells('B1:C1') sheet['I1'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['I1'].font = fuente sheet['I1']= str(dic['usuario_id'].encode('utf-8')) sheet['A1'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A1'].font = fuente2 sheet['A1']= 'Compañia' sheet.merge_cells('B1:C1') sheet['B1'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B1'].font = fuente sheet['B1']= str(dic['company_id'].encode('utf-8')) sheet['A4'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A4'].font = fuente2 sheet['A4']= 'Fecha Emisión:' #fecha_actual = datetime.strftime(datetime.now(), '%d-%m-%Y %H:%M:%S') fecha_actual = dic['fecha_corte'] sheet.merge_cells('B4:C4') sheet['B4'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B4'].font = fuente sheet['B4']= fecha_actual sheet['A5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A5'].font = fuente2 sheet['A5']= 'Metodos de Pagos:' sheet.merge_cells('B5:E5') sheet['B5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B5'].font = fuente if filtro==0: sheet['B5']= "Todos los metodos de pagos" else: sheet['B5']= filtro sheet['F5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F5'].font = fuente2 sheet['F5']= 'Estados de Pagos:' sheet.merge_cells('G5:G5') sheet['G5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G5'].font = fuente if filtro1==0: sheet['G5']= "Todos" else: sheet['G5']= filtro1 poner_border(sheet,1,1,'medium','medium','none','none') poner_border(sheet,1,2,'none','medium','none','none') poner_border(sheet,1,3,'none','medium','none','none') poner_border(sheet,1,4,'none','medium','none','none') poner_border(sheet,1,5,'none','medium','none','none') poner_border(sheet,1,5,'none','medium','none','none') poner_border(sheet,1,6,'none','medium','none','none') poner_border(sheet,1,7,'none','medium','none','none') poner_border(sheet,1,8,'none','medium','none','none') poner_border(sheet,1,9,'none','medium','medium','none') poner_border(sheet,2,1,'medium','none','none','none') poner_border(sheet,2,9,'none','none','medium','none') poner_border(sheet,3,1,'medium','none','none','medium') poner_border(sheet,3,2,'none','none','none','medium') poner_border(sheet,3,3,'none','none','none','medium') poner_border(sheet,3,4,'none','none','none','medium') poner_border(sheet,3,5,'none','none','none','medium') poner_border(sheet,3,6,'none','none','none','medium') poner_border(sheet,3,7,'none','none','none','medium') poner_border(sheet,3,8,'none','none','none','medium') poner_border(sheet,3,9,'none','none','medium','medium') fecha_ini=dic['fecha_desde'] fecha_fin=dic['fecha_hasta'] fecha=str(" Desde: "+dic['fecha_desde']+" Hasta: "+dic['fecha_hasta']) sheet.merge_cells('D3:F3') sheet['D3'].alignment = alignment_title.copy(wrapText=True,horizontal='center', vertical='top') sheet['D3'].font = fuente2 sheet['D3']= str(" Desde: "+dic['fecha_desde']+" Hasta: "+dic['fecha_hasta']) sheet['A6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A6'].font = fuente2 sheet['A6']= 'Fecha Emisión' sheet.merge_cells('B6:C6') sheet['B6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B6'].font = fuente2 sheet['B6']= 'Egreso #' sheet.merge_cells('D6:E6') sheet['D6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['D6'].font = fuente2 sheet['D6']= 'Cheque #' sheet['F6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F6'].font = fuente2 sheet['F6']= 'Beneficiario' sheet.merge_cells('G6:H6') sheet['G6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G6'].font = fuente2 sheet['G6']= 'Observación' sheet['I6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['I6'].font = fuente2 sheet['I6']= 'Valor' fila=7 total_general=0.0 saldo_general=0.0 saldo=0.0 total=0.0 dic={} lista_datos=[] for recorrer in lista_alumnos: sheet['A'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A'+str(fila)].font = fuente sheet['A'+str(fila)]= recorrer['fecha_emision'] #poner_border(sheet,fila,1,'none','none','none','medium') sheet.merge_cells('B'+str(fila)+':C'+str(fila)) sheet['B'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B'+str(fila)].font = fuente if recorrer['egreso']==0: sheet['B'+str(fila)]= "" else: sheet['B'+str(fila)]= recorrer['egreso'] sheet.merge_cells('D'+str(fila)+':E'+str(fila)) sheet['D'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['D'+str(fila)].font = fuente if recorrer['cheque']==0: sheet['D'+str(fila)]= "" else: sheet['D'+str(fila)]= recorrer['cheque'] sheet['F'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F'+str(fila)].font = fuente sheet['F'+str(fila)]= recorrer['beneficiario'] sheet.merge_cells('G'+str(fila)+':H'+str(fila)) sheet['G'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G'+str(fila)].font = fuente if recorrer['observacion']==0: sheet['G'+str(fila)]= "" else: sheet['G'+str(fila)]= recorrer['observacion'] sheet['I'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['I'+str(fila)].font = fuente sheet['I'+str(fila)]= "{:,}".format(float(recorrer['valor'])).replace(',','~').replace('.',',').replace('~','.') total_general=total_general+float(recorrer['valor']) fila=fila+1 sheet['G'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G'+str(fila)].font = fuente2 sheet['G'+str(fila)]= 'TOTAL' sheet.merge_cells('H'+str(fila)+':I'+str(fila)) sheet['H'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['H'+str(fila)].font = fuente2 sheet['H'+str(fila)]= "{:,}".format(float(total_general)).replace(',','~').replace('.',',').replace('~','.') columnas_filas(sheet, 1, str(fila+5), 10.00) sheet.merge_cells('D'+str(fila+5)+':F'+str(fila+5)) sheet['D'+str(fila+5)].alignment = alignment_title.copy(wrapText=True,horizontal='center', vertical='center') sheet['D'+str(fila+5)].font = fuente2 sheet['D'+str(fila+5)]= usuario_id poner_border(sheet,fila+5,4,'none','thin','none','none') poner_border(sheet,fila+5,5,'none','thin','none','none') poner_border(sheet,fila+5,6,'none','thin','none','none') def Informe_pdf(sheet, dic,lista_alumnos): columnas_filas(sheet, 0, 'A', 5.00) columnas_filas(sheet, 0, 'B', 5.00) columnas_filas(sheet, 0, 'C', 2.00) columnas_filas(sheet, 0, 'D', 7.00) columnas_filas(sheet, 0, 'E', 18.00) columnas_filas(sheet, 0, 'F', 8.00) columnas_filas(sheet, 0, 'G', 5.00) columnas_filas(sheet, 0, 'H', 8.00) columnas_filas(sheet, 0, 'I', 5.00) columnas_filas(sheet, 0, 'J', 5.00) columnas_filas(sheet, 0, 'K', 10.00) columnas_filas(sheet, 0, 'L', 3.00) alignment_title = Alignment(horizontal='center', vertical='center') fuente = Font(bold=False, size=6, name='arial') fuente3 = Font(bold=True, size=8, name='arial') fuente2 = Font(bold=True, size=6, name='arial') fila = 3 fila1 = 2 acum=1 cont=0 col=2 col1=4 fil=4 coli=2 colf=2 sheet.merge_cells('A2:I2') sheet['A2'].alignment = alignment_title.copy(wrapText=True,horizontal='center', vertical='top') sheet['A2'].font = fuente3 sheet['A2']= 'Cobros Automaticos' sheet.merge_cells('G1:H1') sheet['G1'].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['G1'].font = fuente2 sheet['G1']= 'Usuario' usuario_id=str(dic['usuario_id'].encode('utf-8')) sheet.merge_cells('I1:J1') sheet['I1'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['I1'].font = fuente sheet['I1']= str(dic['usuario_id'].encode('utf-8')) sheet.merge_cells('A1:C1') sheet['A1'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A1'].font = fuente2 sheet['A1']= 'Compañia '+str(dic['company_id'].encode('utf-8')) poner_border(sheet,1,1,'medium','medium','none','none') poner_border(sheet,1,2,'none','medium','none','none') poner_border(sheet,1,3,'none','medium','none','none') poner_border(sheet,1,4,'none','medium','none','none') poner_border(sheet,1,5,'none','medium','none','none') poner_border(sheet,1,5,'none','medium','none','none') poner_border(sheet,1,6,'none','medium','none','none') poner_border(sheet,1,7,'none','medium','none','none') poner_border(sheet,1,8,'none','medium','none','none') poner_border(sheet,1,9,'none','medium','none','none') poner_border(sheet,1,10,'none','medium','none','none') poner_border(sheet,1,11,'none','medium','none','none') poner_border(sheet,1,12,'none','medium','medium','none') #poner_border(sheet,3,12,'none','none','medium','none') poner_border(sheet,2,1,'medium','none','none','none') poner_border(sheet,2,12,'none','none','medium','none') poner_border(sheet,3,1,'none','medium','none','none') poner_border(sheet,3,2,'none','medium','none','none') poner_border(sheet,3,3,'none','medium','none','none') poner_border(sheet,3,4,'none','medium','none','none') poner_border(sheet,3,5,'none','medium','none','none') poner_border(sheet,3,6,'none','medium','none','none') poner_border(sheet,3,7,'none','medium','none','none') poner_border(sheet,3,8,'none','medium','none','none') poner_border(sheet,3,9,'none','medium','none','none') poner_border(sheet,3,10,'none','medium','none','none') poner_border(sheet,3,11,'none','medium','none','none') poner_border(sheet,3,12,'none','medium','none','none') sheet['A4'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A4'].font = fuente2 sheet['A4']= 'Fecha Emisión:' fecha_actual = dic['fecha_emision'] sheet.merge_cells('B4:D4') sheet['B4'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B4'].font = fuente sheet['B4']= fecha_actual sheet['F4'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F4'].font = fuente2 sheet['F4']= 'Estado:' sheet.merge_cells('G4:J4') sheet['G4'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G4'].font = fuente sheet['G4']= dic['estado'] sheet['A5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A5'].font = fuente2 sheet['A5']= 'Codigo:' sheet.merge_cells('B5:E5') sheet['B5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B5'].font = fuente sheet['B5']= dic['codigo'] sheet['F5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F5'].font = fuente2 sheet['F5']= 'Metodo de Pago:' sheet.merge_cells('G5:J5') sheet['G5'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G5'].font = fuente sheet['G5']= dic['met_pago'] sheet['A6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A6'].font = fuente2 sheet['A6']= 'Banco' sheet.merge_cells('B6:E6') sheet['B6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B6'].font = fuente sheet['B6']= dic['banco'] sheet['F6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F6'].font = fuente2 sheet['F6']= 'Cuenta Bancaria:' sheet.merge_cells('G6:J6') sheet['G6'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G6'].font = fuente sheet['G6']= dic['cuenta_bancaria'] sheet['A7'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A7'].font = fuente2 sheet['A7']= 'Caja' sheet.merge_cells('B7:E7') sheet['B7'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B7'].font = fuente sheet['B7']= dic['caja'] sheet['F7'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F7'].font = fuente2 sheet['F7']= 'Fecha de Cobro:' sheet.merge_cells('G7:J7') sheet['G7'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G7'].font = fuente sheet['G7']= dic['fecha_cobro'] sheet['A8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A8'].font = fuente2 sheet['A8']= 'Tipo' sheet.merge_cells('B8:C8') sheet['B8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B8'].font = fuente2 sheet['B8']= 'No. Factura' sheet['D8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['D8'].font = fuente2 sheet['D8']= 'Codigo del Alumno' sheet['E8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['E8'].font = fuente2 sheet['E8']= 'Alumno' sheet['F8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F8'].font = fuente2 sheet['F8']= 'Codigo del Pago' sheet['G8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['G8'].font = fuente2 sheet['G8']= 'Valor' sheet.merge_cells('H8:I8') sheet['H8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['H8'].font = fuente2 sheet['H8']= 'Curso' sheet['J8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['J8'].font = fuente2 sheet['J8']= 'Fecha Factura' sheet.merge_cells('K8:L8') sheet['K8'].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['K8'].font = fuente2 sheet['K8']= 'Observacion' fila=9 total_general=0.0 saldo_general=0.0 saldo=0.0 total=0.0 dic={} lista_datos=[] for recorrer in lista_alumnos: sheet['A'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['A'+str(fila)].font = fuente sheet['A'+str(fila)]= recorrer['tipo'] #poner_border(sheet,fila,1,'none','none','none','medium') sheet.merge_cells('B'+str(fila)+':C'+str(fila)) sheet['B'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['B'+str(fila)].font = fuente sheet['B'+str(fila)]= recorrer['numero_factura'] sheet['D'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['D'+str(fila)].font = fuente sheet['D'+str(fila)]= recorrer['codigo_alumno'] sheet['E'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['E'+str(fila)].font = fuente sheet['E'+str(fila)]= recorrer['alumno'] sheet['F'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['F'+str(fila)].font = fuente sheet['F'+str(fila)]= recorrer['numero_pago'] sheet['G'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['G'+str(fila)].font = fuente sheet['G'+str(fila)]= "{:,}".format(float(recorrer['valor'])).replace(',','~').replace('.',',').replace('~','.') sheet.merge_cells('H'+str(fila)+':I'+str(fila)) sheet['H'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['H'+str(fila)].font = fuente sheet['H'+str(fila)]= recorrer['jornada']+'/'+recorrer['curso']+'/'+recorrer['paralelo'] sheet['J'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['J'+str(fila)].font = fuente sheet['J'+str(fila)]= recorrer['fecha_factura'] sheet.merge_cells('K'+str(fila)+':L'+str(fila)) sheet['K'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='justify', vertical='top') sheet['K'+str(fila)].font = fuente sheet['K'+str(fila)]= recorrer['observacion'] total_general=total_general+float(recorrer['valor']) fila=fila+1 sheet['E'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='left', vertical='top') sheet['E'+str(fila)].font = fuente2 sheet['E'+str(fila)]= 'TOTAL' sheet['G'+str(fila)].alignment = alignment_title.copy(wrapText=True,horizontal='right', vertical='top') sheet['G'+str(fila)].font = fuente2 sheet['G'+str(fila)]= "{:,}".format(float(total_general)).replace(',','~').replace('.',',').replace('~','.') columnas_filas(sheet, 1, str(fila+5), 10.00) sheet.merge_cells('D'+str(fila+5)+':F'+str(fila+5)) sheet['D'+str(fila+5)].alignment = alignment_title.copy(wrapText=True,horizontal='center', vertical='center') sheet['D'+str(fila+5)].font = fuente2 sheet['D'+str(fila+5)]= usuario_id poner_border(sheet,fila+5,4,'none','thin','none','none') poner_border(sheet,fila+5,5,'none','thin','none','none') poner_border(sheet,fila+5,6,'none','thin','none','none')

40.658163

140

0.647007

3,226

23,907

4.701178

0.085865

0.039694

0.103125

0.12106

0.802585

0.784188

0.760781

0.752605

0.702163

0.68159

0

0.029277

0.157067

23,907

587

141

40.727428

0.723303

0.050362

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0.476087

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false

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0.06087

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null

0

1

0

null

0

6

6705976f96280a0c9267782dd7ba9b91bbc952e7

340

py

Python

analyst_recommendation_performance/__intit__.py

dbondi/analyst_recommendation_performance

1f5852095032a9f338014b32f25f8beb65970d46

[ "MIT" ]

1

2021-04-06T20:33:48.000Z

analyst_recommendation_performance/__intit__.py

dbondi/analyst_recommendation_performance

1f5852095032a9f338014b32f25f8beb65970d46

[ "MIT" ]

null

analyst_recommendation_performance/__intit__.py

dbondi/analyst_recommendation_performance

1f5852095032a9f338014b32f25f8beb65970d46

[ "MIT" ]

null

from analyst_recommendation_performance.analyze_recommendations import measure_firm_performance,graph_performance from analyst_recommendation_performance.get_tickers import get_tickers,get_tickers_filtered,get_biggest_n_tickers from analyst_recommendation_performance.get_recommendations import get_recommendations,normalize_recommendations

113.333333

113

0.947059

39

340

7.74359

0.410256

0.109272

0.248344

0.357616

0.258278

0

0.032353

340

3

114

113.333333

0.917933

0

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true

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1

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null

0

1

0

1

0

1

0

null

0

1

0

1

0

6

675899cb00eb7ceeed1a619ccc0dca21e743068b

94

py

Python

nata/plugins/plot/__init__.py

ahelm/nata

c8231b8a15c748e3f71720bc4655c212cc26ffb5

[ "MIT" ]

null

nata/plugins/plot/__init__.py

ahelm/nata

c8231b8a15c748e3f71720bc4655c212cc26ffb5

[ "MIT" ]

null

nata/plugins/plot/__init__.py

ahelm/nata

c8231b8a15c748e3f71720bc4655c212cc26ffb5

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .grid import * from .particle import * from .collection import *

18.8

25

0.659574

12

94

5.166667

0.666667

0.322581

0

0.012987

0.180851

94

4

26

23.5

0.792208

0.223404

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

67797f155c2d4189b848820bf1022dd8c544b356

1,063

py

Python

backend/posts/views.py

Soumithri/website

de813cfd20f3b9e28b92c089524f998956ced3d9

[ "MIT" ]

2

2019-08-07T03:28:51.000Z

2019-08-07T07:32:25.000Z

backend/posts/views.py

Soumithri/website

de813cfd20f3b9e28b92c089524f998956ced3d9

[ "MIT" ]

7

2019-12-04T23:54:04.000Z

2022-02-10T10:57:58.000Z

backend/posts/views.py

Soumithri/website

de813cfd20f3b9e28b92c089524f998956ced3d9

[ "MIT" ]

null

from rest_framework import generics from .models import Post, Project, Author from .serializers import PostSerializer, ProjectSerializer, AuthorSerializer class PostList(generics.ListAPIView): # Generic class based view for displaying all the posts queryset = Post.objects.all() serializer_class = PostSerializer class PostDetail(generics.RetrieveAPIView): # Generic class based view for retrieving all the posts queryset = Post.objects.all() serializer_class = PostSerializer class ProjectList(generics.ListAPIView): # Generic class based view for displaying all the posts queryset = Project.objects.all() serializer_class = ProjectSerializer class ProjectDetail(generics.RetrieveAPIView): # Generic class based view for retrieving all the posts queryset = Project.objects.all() serializer_class = ProjectSerializer class AuthorDetail(generics.RetrieveAPIView): # Generic class based view for retrieving all the posts queryset = Author.objects.all() serializer_class = AuthorSerializer

26.575

76

0.771402

117

1,063

6.957265

0.282051

0.07371

0.104423

0.128993

0.707617

0

0.171214

1,063

39

77

27.25641

0.92395

0.253057

0

0.444444

0

1

0

false

0

0.166667

0

1

0

null

0

1

0

null

0

1

0

6

679907d3867fa57810ef576405fb3bc69a50bf8c

64

py

Python

py_tdlib/constructors/network_type_wi_fi.py

Mr-TelegramBot/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

24

2018-10-05T13:04:30.000Z

2020-05-12T08:45:34.000Z

py_tdlib/constructors/network_type_wi_fi.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

3

2019-06-26T07:20:20.000Z

2021-05-24T13:06:56.000Z

py_tdlib/constructors/network_type_wi_fi.py

MrMahdi313/python-tdlib

2e2d21a742ebcd439971a32357f2d0abd0ce61eb

[ "MIT" ]

5

2018-10-05T14:29:28.000Z

2020-08-11T15:04:10.000Z

from ..factory import Type class networkTypeWiFi(Type): pass

10.666667

28

0.765625

8

64

6.125

0.875

0

0.15625

64

5

29

12.8

0.907407

0

1

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true

0.333333

0

0.666667

0

1

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null

0

1

0

null

0

1

0

1

0

6

67de8337b673c0cb1c5d58969c1527d8876b61e7

2,286

py

Python

recognition/symbol/symbol_seblock.py

994374821/face-recognition-

e5cdc04bc88cc9630e25050888f17c059b790be0

[ "MIT" ]

6

2019-09-22T11:46:00.000Z

2019-12-26T02:51:09.000Z

recognition/symbol/symbol_seblock.py

994374821/face-recognition-

e5cdc04bc88cc9630e25050888f17c059b790be0

[ "MIT" ]

1

2019-10-24T10:32:51.000Z

recognition/symbol/symbol_seblock.py

994374821/face-recognition-

e5cdc04bc88cc9630e25050888f17c059b790be0

[ "MIT" ]

null

# Copyright (c) Facebook, Inc. and its affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. __all__ = ['SE_Block', ] '''see: Squeeze-and-Excitation Networks''' def SE_Block(sym, data, num_out, name): if type(num_out) is tuple: num_mid = (int(sum(num_out)/16), 0) else: num_mid = int(num_out/16) # global pooling out = sym.Pooling(data=data, pool_type='avg', kernel=(1, 1), global_pool=True, stride=(1, 1), name=('%s_pool' % name)) # fc1 out = sym.FullyConnected(data=out, num_hidden=num_mid, no_bias=False, name=('%s_fc1' % name)) out = sym.Activation(data=out, act_type='relu', name=('%s_relu' % name)) # fc2 out = sym.FullyConnected(data=out, num_hidden=num_out, no_bias=False, name=('%s_fc2' % name)) out = sym.Activation(data=out, act_type='sigmoid', name=('%s_sigmoid' % name)) # rescale out = sym.expand_dims(out, axis=2, name=('%s_expend1' % name)) out = sym.expand_dims(out, axis=3, name=('%s_expend2' % name)) # add spatial dims back output = sym.broadcast_mul(data, out, name=('%s_mul' % name)) return output # import mxnet as mx # # def SE_Block(sym, data, num_out, name): # if type(num_out) is tuple: # num_mid = (int(sum(num_out) / 16), 0) # else: # num_mid = int(num_out / 16) # # # global pooling # out = sym.Pooling(data=data, pool_type='avg', kernel=(1, 1), global_pool=True, stride=(1, 1), # name=('%s_pool' % name)) # # # fc1 # out = mx.sym.Convolution(data=out, num_filter=num_mid, kernel=(1,1), stride=(1,1), pad=(0,0), name=('%s_fc1' % name)) # out = sym.Activation(data=out, act_type='relu', name=('%s_relu' % name)) # # # fc2 # out = mx.sym.Convolution(data=out, num_filter=num_out, kernel=(1,1), stride=(1,1), pad=(0,0), name=('%s_fc2' % name)) # out = sym.Activation(data=out, act_type='sigmoid', name=('%s_sigmoid' % name)) # # # rescale # # out = sym.expand_dims(out, axis=2, name=('%s_expend1' % name)) # # out = sym.expand_dims(out, axis=3, name=('%s_expend2' % name)) # add spatial dims back # output = sym.broadcast_mul(data, out, name=('%s_mul' % name)) # # return output

36.285714

123

0.614611

353

2,286

3.813031

0.246459

0.059435

0.044577

0.059435

0.849926

0.833581

0.780089

0.728083

0

0.025303

0.204724

2,286

62

124

36.870968

0.715072

0.545494

0

0.088143

0

1

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false

0

0.125

0

null

0

1

0

null

0

6

db3200396cb4bc973a5343e13243448f2426ec16

7,744

py

Python

pymaster/covariance.py

EiffL/NaMaster

41cc7839083511fe6be2eb20e93b8916c5c1f1f3

[ "BSD-3-Clause" ]

null

pymaster/covariance.py

EiffL/NaMaster

41cc7839083511fe6be2eb20e93b8916c5c1f1f3

[ "BSD-3-Clause" ]

null

pymaster/covariance.py

EiffL/NaMaster

41cc7839083511fe6be2eb20e93b8916c5c1f1f3

[ "BSD-3-Clause" ]

null

from pymaster import nmtlib as lib import numpy as np class NmtCovarianceWorkspace(object) : """ NmtCovarianceWorkspace objects are used to compute and store the coupling coefficients needed to calculate the Gaussian covariance matrix under the Efstathiou approximation (astro-ph/0307515). When initialized, this object is practically empty. The information describing the coupling coefficients must be computed or read from a file afterwards. """ def __init__(self) : self.wsp=None def __del__(self) : if(self.wsp is not None) : lib.covar_workspace_free(self.wsp) self.wsp=None def read_from(self,fname) : """ Reads the contents of an NmtCovarianceWorkspace object from a file (encoded using an internal binary format). :param str fname: input file name """ if self.wsp is not None : lib.covar_workspace_free(self.wsp) self.wsp=None self.wsp=lib.read_covar_workspace(fname); def compute_coupling_coefficients(self,wa,wb) : """ Computes coupling coefficients of the Gaussian covariance between the power spectra computed using wa and wb (two NmtWorkspace objects). :param NmtWorkspace wa,wb: workspaces used to compute the two power spectra whose covariance matrix you want to compute. """ if self.wsp is not None : lib.covar_workspace_free(self.wsp) self.wsp=None ns=wa.wsp.nside; if(wa.wsp.nside!=wb.wsp.nside) : raise ValueError("Everything should have the same resolution!") if((wa.wsp.ncls!=1) or (wb.wsp.ncls!=1)) : raise ValueError("Gaussian covariances only supported for spin-0 fields") self.wsp=lib.covar_workspace_init_py(wa.wsp,wb.wsp) def write_to(self,fname) : """ Writes the contents of an NmtCovarianceWorkspace object to a file (encoded using an internal binary format). :param str fname: output file name """ if self.wsp is None : raise ValueError("Must initialize workspace before writing") lib.write_covar_workspace(self.wsp,fname) class NmtCovarianceWorkspaceFlat(object) : """ NmtCovarianceWorkspaceFlat objects are used to compute and store the coupling coefficients needed to calculate the Gaussian covariance matrix under a flat-sky version the Efstathiou approximation (astro-ph/0307515). When initialized, this object is practically empty. The information describing the coupling coefficients must be computed or read from a file afterwards. """ def __init__(self) : self.wsp=None def __del__(self) : if(self.wsp is not None) : lib.covar_workspace_flat_free(self.wsp) self.wsp=None def read_from(self,fname) : """ Reads the contents of an NmtCovarianceWorkspaceFlat object from a file (encoded using an internal binary format). :param str fname: input file name """ if self.wsp is not None : lib.covar_workspace_flat_free(self.wsp) self.wsp=None self.wsp=lib.read_covar_workspace_flat(fname); def compute_coupling_coefficients(self,wa,wb) : """ Computes coupling coefficients of the Gaussian covariance between the power spectra computed using wa and wb (two NmtWorkspaceFlat objects). :param NmtWorkspaceFlat wa,wb: workspaces used to compute the two power spectra whose covariance matrix you want to compute. """ if((wa.wsp.fs.nx!=wb.wsp.fs.nx) or (wa.wsp.fs.ny!=wb.wsp.fs.ny)) : raise ValueError("Everything should have the same resolution!") if((wa.wsp.ncls!=1) or (wb.wsp.ncls!=1)) : raise ValueError("Gaussian covariances only supported for spin-0 fields") if self.wsp is not None : lib.covar_workspace_flat_free(self.wsp) self.wsp=None self.wsp=lib.covar_workspace_flat_init_py(wa.wsp,wb.wsp) def write_to(self,fname) : """ Writes the contents of an NmtCovarianceWorkspaceFlat object to a file (encoded using an internal binary format). :param str fname: output file name """ if self.wsp is None : raise ValueError("Must initialize workspace before writing") lib.write_covar_workspace_flat(self.wsp,fname) def gaussian_covariance(cw,cla1b1,cla1b2,cla2b1,cla2b2) : """ Computes Gaussian covariance matrix for power spectra using the information precomputed in cw (a NmtCovarianceWorkspace object). cw should have been initialized using the two NmtWorkspace objects used to compute these power spectra. The notation above assumes that these two NmtWorkspace objects, wa and wb, were used to compute the power spectra of four fields: a1 and a2 for wa, b1 and b2 for wb. Then, claXbY above should be a prediction for the power spectrum between fields aX and bY. These predicted input power spectra should be defined for all ells <=3*nside (where nside is the HEALPix resolution parameter of the fields that were correlated). :param NmtCovarianceWorkspace cw: workspaces containing the precomputed coupling coefficients. :param cla1b1: prediction for the cross-power spectrum between a1 and b1. :param cla1b2: prediction for the cross-power spectrum between a1 and b2. :param cla2b1: prediction for the cross-power spectrum between a2 and b1. :param cla2b2: prediction for the cross-power spectrum between a2 and b2. """ if((len(cla1b1)!=cw.wsp.lmax_a+1) or (len(cla1b2)!=cw.wsp.lmax_a+1) or (len(cla2b1)!=cw.wsp.lmax_a+1) or (len(cla2b2)!=cw.wsp.lmax_a+1)) : raise ValueError("Input C_ls have a weird length") len_a=cw.wsp.ncls_a*cw.wsp.bin_a.n_bands len_b=cw.wsp.ncls_b*cw.wsp.bin_b.n_bands covar1d=lib.comp_gaussian_covariance(cw.wsp,cla1b1,cla1b2,cla2b1,cla2b2,len_a*len_b) covar=np.reshape(covar1d,[len_a,len_b]) return covar def gaussian_covariance_flat(cw,larr,cla1b1,cla1b2,cla2b1,cla2b2) : """ Computes Gaussian covariance matrix for flat-sky power spectra using the information precomputed in cw (a NmtCovarianceWorkspaceFlat object). cw should have been initialized using the two NmtWorkspaceFlat objects used to compute these power spectra. The notation above assumes that these two NmtWorkspaceFlat objects, wa and wb, were used to compute the power spectra of four fields: a1 and a2 for wa, b1 and b2 for wb. Then, claXbY above should be a prediction for the power spectrum between fields aX and bY. These predicted input power spectra should be defined in a sufficiently well sampled range of ells given themap properties from which the power spectra were computed. The values of ell at which they are sampled are given by larr. :param NmtCovarianceWorkspaceFlat cw: workspaces containing the precomputed coupling coefficients. :param larr: values of ell at which the following power spectra are computed. :param cla1b1: prediction for the cross-power spectrum between a1 and b1. :param cla1b2: prediction for the cross-power spectrum between a1 and b2. :param cla2b1: prediction for the cross-power spectrum between a2 and b1. :param cla2b2: prediction for the cross-power spectrum between a2 and b2. """ if((len(cla1b1)!=len(larr)) or (len(cla1b2)!=len(larr)) or (len(cla2b1)!=len(larr)) or (len(cla2b2)!=len(larr))) : raise ValueError("Input C_ls have a weird length") len_a=cw.wsp.ncls_a*cw.wsp.bin.n_bands len_b=cw.wsp.ncls_b*cw.wsp.bin.n_bands covar1d=lib.comp_gaussian_covariance_flat(cw.wsp,larr,cla1b1,cla1b2,cla2b1,cla2b2,len_a*len_b) covar=np.reshape(covar1d,[len_a,len_b]) return covar

55.71223

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null

0

6

e1e9a93f9f28cfc461b99018fb7102066c47781f

58

py

Python

tests/__init__.py

hinihatetsu/protreim

01d9a2183399d6e9848cb7110af0e2220e1fe0fd

[ "MIT" ]

null

tests/__init__.py

hinihatetsu/protreim

01d9a2183399d6e9848cb7110af0e2220e1fe0fd

[ "MIT" ]

null

tests/__init__.py

hinihatetsu/protreim

01d9a2183399d6e9848cb7110af0e2220e1fe0fd

[ "MIT" ]

null

from .test_config import * from .test_interface import *

14.5

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1

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1

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6

c017fc817dc705421f00942b065ccf6ae0ab1af0

157

py

Python

ostrawling/__init__.py

JacobRawling/OstrawlingMC

d87c12c8502a12c150ece0eac0fbe2c829062f6e

[ "MIT" ]

null

ostrawling/__init__.py

JacobRawling/OstrawlingMC

d87c12c8502a12c150ece0eac0fbe2c829062f6e

[ "MIT" ]

null

ostrawling/__init__.py

JacobRawling/OstrawlingMC

d87c12c8502a12c150ece0eac0fbe2c829062f6e

[ "MIT" ]

null

from .generator import Generator from .processes import * from .argument_parser import * from .saver import * from .event import * from .parameters import *

26.166667

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20

157

6.05

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0.152866

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6

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0

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true

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1

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1

0

null

0

1

0

1

0

1

0

6

c02e57424ba08060e6f67316e8741adf7b7fd653

537

py

Python

umbral-docker/tests/test.py

BigG-DSC/umbral-rs-client

7fc16b381551c420bc799f4a2f4c3e120028a192

[ "MIT" ]

null

umbral-docker/tests/test.py

BigG-DSC/umbral-rs-client

7fc16b381551c420bc799f4a2f4c3e120028a192

[ "MIT" ]

null

umbral-docker/tests/test.py

BigG-DSC/umbral-rs-client

7fc16b381551c420bc799f4a2f4c3e120028a192

[ "MIT" ]

null

import requests node_url = 'http://localhost:8022' plaintext = 'Hello World!' #alice = requests.get(node_url+"/stateless/keypair", timeout=None) #signer = requests.get(node_url+"/stateless/signer", timeout=None) #bob = requests.get(node_url+"/stateless/keypair", timeout=None) alice = requests.get(node_url+"/stateless/keypair", timeout=None).json() signer = requests.get(node_url+"/stateless/signer", timeout=None).json() bob = requests.get(node_url+"/stateless/keypair", timeout=None).json() print(alice) print(signer) print(bob)

29.833333

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0.274112

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537

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1

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null

0

6

c035ea4046931e65892320ef3d0929ec6f3c2485

5,654

py

Python

unbalancedgw/vanilla_ugw_solver.py

6Ulm/unbalanced_gromov_wasserstein

be23571f653dab16fd0722cb1ec2c3412a1e3f30

[ "MIT" ]

22

2020-09-10T21:57:02.000Z

2022-03-16T14:42:47.000Z

unbalancedgw/vanilla_ugw_solver.py

6Ulm/unbalanced_gromov_wasserstein

be23571f653dab16fd0722cb1ec2c3412a1e3f30

[ "MIT" ]

null

unbalancedgw/vanilla_ugw_solver.py

6Ulm/unbalanced_gromov_wasserstein

be23571f653dab16fd0722cb1ec2c3412a1e3f30

[ "MIT" ]

8

2020-09-11T00:59:31.000Z

2022-03-29T22:19:08.000Z

import torch from ._vanilla_utils import init_plan, compute_local_cost, \ log_sinkhorn, exp_sinkhorn def log_ugw_sinkhorn(a, dx, b, dy, init=None, eps=1.0, rho=float("Inf"), rho2=None, nits_plan=3000, tol_plan=1e-6, nits_sinkhorn=3000, tol_sinkhorn=1e-6, two_outputs=False): """Solves the regularized UGW problem, keeps only one plan as output. the algorithm is run as much as possible in log-scale. Parameters ---------- a: torch.Tensor of size [Batch, size_X] Input measure of the first mm-space. dx: torch.Tensor of size [Batch, size_X, size_X] Input metric of the first mm-space. b: torch.Tensor of size [Batch, size_Y] Input measure of the second mm-space. dy: torch.Tensor of size [Batch, size_Y, size_Y] Input metric of the second mm-space. init: torch.Tensor of size [Batch, size_X, size_Y] Transport plan at initialization. Defaults to None and initializes with tensor plan. eps: float Strength of entropic regularization. rho: float Strength of penalty on the first marginal of pi. rho2: float Strength of penalty on the first marginal of pi. If set to None it is equal to rho. nits_plan: int Maximum number of iterations to update the plan pi. tol_plan: float Tolerance on convergence of plan. nits_sinkhorn: int Maximum number of iterations to update Sinkhorn potentials in inner loop. tol_sinkhorn: float Tolerance on convergence of Sinkhorn potentials. two_outputs: bool If set to True, outputs the two plans of the alternate minimization of UGW. Returns ---------- pi: torch.Tensor of size [Batch, size_X, size_Y] Transport plan which is a stationary point of UGW. The output is not in log-scale. """ if rho2 is None: rho2 = rho # Initialize plan and local cost logpi = (init_plan(a, b, init=init) + 1e-30).log() logpi_prev = torch.zeros_like(logpi) up, vp = None, None for i in range(nits_plan): logpi_prev = logpi.clone() lcost = compute_local_cost(logpi.exp(), a, dx, b, dy, eps, rho, rho2) logmp = logpi.logsumexp(dim=(0, 1)) up, vp, logpi = log_sinkhorn( lcost, up, vp, a, b, logmp.exp() + 1e-10, eps, rho, rho2, nits_sinkhorn, tol_sinkhorn ) if torch.any(torch.isnan(logpi)): raise Exception( f"Solver got NaN plan with params (eps, rho, rho2) " f" = {eps, rho, rho2}. Try increasing argument eps." ) logpi = ( 0.5 * (logmp - logpi.logsumexp(dim=(0, 1))) + logpi ) if (logpi - logpi_prev).abs().max().item() < tol_plan: break if two_outputs: return logpi.exp(), logpi_prev.exp() return logpi.exp() def exp_ugw_sinkhorn(a, dx, b, dy, init=None, eps=1.0, rho=float("Inf"), rho2=None, nits_plan=3000, tol_plan=1e-6, nits_sinkhorn=3000, tol_sinkhorn=1e-6, two_outputs=False): """Solves the regularized UGW problem, keeps only one plan as output. the algorithm is run as much as possible in log-scale. Parameters ---------- a: torch.Tensor of size [Batch, size_X] Input measure of the first mm-space. dx: torch.Tensor of size [Batch, size_X, size_X] Input metric of the first mm-space. b: torch.Tensor of size [Batch, size_Y] Input measure of the second mm-space. dy: torch.Tensor of size [Batch, size_Y, size_Y] Input metric of the second mm-space. init: torch.Tensor of size [Batch, size_X, size_Y] Transport plan at initialization. Defaults to None and initializes with tensor plan. eps: float Strength of entropic regularization. rho: float Strength of penalty on the first marginal of pi. rho2: float Strength of penalty on the first marginal of pi. If set to None it is equal to rho. nits_plan: int Maximum number of iterations to update the plan pi. tol_plan: float Tolerance on convergence of plan. nits_sinkhorn: int Maximum number of iterations to update Sinkhorn potentials in inner loop. tol_sinkhorn: float Tolerance on convergence of Sinkhorn potentials. two_outputs: bool If set to True, outputs the two plans of the alternate minimization of UGW. Returns ---------- pi: torch.Tensor of size [Batch, size_X, size_Y] Transport plan which is a stationary point of UGW. The output is not in log-scale. """ if rho2 is None: rho2 = rho # Initialize plan and local cost pi = init_plan(a, b, init=init) pi_prev = torch.zeros_like(pi) up, vp = None, None for i in range(nits_plan): pi_prev = pi.clone() mp = pi.sum() ecost = (-compute_local_cost(pi, a, dx, b, dy, eps, rho, rho2) / (mp * eps)).exp() up, vp, pi = exp_sinkhorn( ecost, up, vp, a, b, mp, eps, rho, rho2, nits_sinkhorn, tol_sinkhorn ) if torch.any(torch.isnan(pi)): raise Exception( f"Solver got NaN plan with params (eps, rho, rho2) " f" = {eps, rho, rho2}. Try increasing argument eps or switch" f" to log_ugw_sinkhorn method." ) pi = (mp / pi.sum()).sqrt() * pi if (pi - pi_prev).abs().max().item() < tol_plan: break if two_outputs: return pi, pi_prev return pi

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0.121212

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null

0

1

0

null

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6

c037b341a6c5ee43a37df5cb6dcd117bb46bab39

39

py

Python

based_latex/__init__.py

wircho/based_latex

3992eaacd4aa66b0a9d10cbf7bc73b848cdd8ce8

[ "MIT" ]

null

based_latex/__init__.py

wircho/based_latex

3992eaacd4aa66b0a9d10cbf7bc73b848cdd8ce8

[ "MIT" ]

null

based_latex/__init__.py

wircho/based_latex

3992eaacd4aa66b0a9d10cbf7bc73b848cdd8ce8

[ "MIT" ]

null

from .formula import get_latex_svg_data

39

0.897436

7

39

4.571429

1

0

0.076923

39

1

39

0.888889

0

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true

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1

0

1

0

1

0

6

c0569ff95ee01850b110eb1b5fb82c06c32731a4

8,891

py

Python

lib/smplify/losses.py

omidrk/computervisionPanopticToSMPLAuto

b84b60f0ec4ffdb4ae61348919a95f7bb2eab926

[ "MIT" ]

6

2021-12-01T10:17:26.000Z

2022-01-18T11:48:18.000Z

lib/smplify/losses.py

omidrk/computervisionPanopticToSMPLAuto

b84b60f0ec4ffdb4ae61348919a95f7bb2eab926

[ "MIT" ]

1

2021-12-09T02:29:50.000Z

2021-12-10T11:42:53.000Z

lib/smplify/losses.py

omidrk/computervisionPanopticToSMPLAuto

b84b60f0ec4ffdb4ae61348919a95f7bb2eab926

[ "MIT" ]

1

2021-12-01T16:33:36.000Z

# This script is the extended version of https://github.com/nkolot/SPIN/blob/master/smplify/losses.py to deal with # sequences inputs. import torch from lib.models.spin import perspective_projection from lib.models.smpl import JOINT_IDS def gmof(x, sigma): """ Geman-McClure error function """ x_squared = x ** 2 sigma_squared = sigma ** 2 return (sigma_squared * x_squared) / (sigma_squared + x_squared) def angle_prior(pose): """ Angle prior that penalizes unnatural bending of the knees and elbows """ # We subtract 3 because pose does not include the global rotation of the model return torch.exp( pose[:, [55 - 3, 58 - 3, 12 - 3, 15 - 3]] * torch.tensor([1., -1., -1, -1.], device=pose.device)) ** 2 def body_fitting_loss(body_pose, betas, model_joints, camera_t, camera_center, joints_2d, joints_conf, pose_prior, focal_length=5000, sigma=100, pose_prior_weight=4.78, shape_prior_weight=5, angle_prior_weight=15.2, output='sum'): """ Loss function for body fitting """ # pose_prior_weight = 1. # shape_prior_weight = 1. # angle_prior_weight = 1. # sigma = 10. batch_size = body_pose.shape[0] rotation = torch.eye(3, device=body_pose.device).unsqueeze(0).expand(batch_size, -1, -1) projected_joints = perspective_projection(model_joints, rotation, camera_t, focal_length, camera_center) # Weighted robust reprojection error reprojection_error = gmof(projected_joints - joints_2d, sigma) reprojection_loss = (joints_conf ** 2) * reprojection_error.sum(dim=-1) # Pose prior loss pose_prior_loss = (pose_prior_weight ** 2) * pose_prior(body_pose, betas) # Angle prior for knees and elbows angle_prior_loss = (angle_prior_weight ** 2) * angle_prior(body_pose).sum(dim=-1) # Regularizer to prevent betas from taking large values shape_prior_loss = (shape_prior_weight ** 2) * (betas ** 2).sum(dim=-1) total_loss = reprojection_loss.sum(dim=-1) + pose_prior_loss + angle_prior_loss + shape_prior_loss print(f'joints: {reprojection_loss[0].sum().item():.2f}, ' f'pose_prior: {pose_prior_loss[0].item():.2f}, ' f'angle_prior: {angle_prior_loss[0].item():.2f}, ' f'shape_prior: {shape_prior_loss[0].item():.2f}') if output == 'sum': return total_loss.sum() elif output == 'reprojection': return reprojection_loss def camera_fitting_loss(model_joints, camera_t, camera_t_est, camera_center, joints_2d, joints_conf, focal_length=5000, depth_loss_weight=100): """ Loss function for camera optimization. """ # Project model joints batch_size = model_joints.shape[0] rotation = torch.eye(3, device=model_joints.device).unsqueeze(0).expand(batch_size, -1, -1) projected_joints = perspective_projection(model_joints, rotation, camera_t, focal_length, camera_center) op_joints = ['OP RHip', 'OP LHip', 'OP RShoulder', 'OP LShoulder'] op_joints_ind = [JOINT_IDS[joint] for joint in op_joints] gt_joints = ['Right Hip', 'Left Hip', 'Right Shoulder', 'Left Shoulder'] gt_joints_ind = [JOINT_IDS[joint] for joint in gt_joints] reprojection_error_op = (joints_2d[:, op_joints_ind] - projected_joints[:, op_joints_ind]) ** 2 reprojection_error_gt = (joints_2d[:, gt_joints_ind] - projected_joints[:, gt_joints_ind]) ** 2 # Check if for each example in the batch all 4 OpenPose detections are valid, otherwise use the GT detections # OpenPose joints are more reliable for this task, so we prefer to use them if possible is_valid = (joints_conf[:, op_joints_ind].min(dim=-1)[0][:, None, None] > 0).float() reprojection_loss = (is_valid * reprojection_error_op + (1 - is_valid) * reprojection_error_gt).sum(dim=(1, 2)) # Loss that penalizes deviation from depth estimate depth_loss = (depth_loss_weight ** 2) * (camera_t[:, 2] - camera_t_est[:, 2]) ** 2 total_loss = reprojection_loss + depth_loss return total_loss.sum() def temporal_body_fitting_loss(body_pose, betas, model_joints, camera_t, camera_center, joints_2d, joints_conf, pose_prior, focal_length=5000, sigma=100, pose_prior_weight=4.78, shape_prior_weight=5, angle_prior_weight=15.2, smooth_2d_weight=0.01, smooth_3d_weight=1.0, output='sum'): """ Loss function for body fitting """ # pose_prior_weight = 1. # shape_prior_weight = 1. # angle_prior_weight = 1. # sigma = 10. batch_size = body_pose.shape[0] rotation = torch.eye(3, device=body_pose.device).unsqueeze(0).expand(batch_size, -1, -1) projected_joints = perspective_projection(model_joints, rotation, camera_t, focal_length, camera_center) # Weighted robust reprojection error reprojection_error = gmof(projected_joints - joints_2d, sigma) reprojection_loss = (joints_conf ** 2) * reprojection_error.sum(dim=-1) # Pose prior loss pose_prior_loss = (pose_prior_weight ** 2) * pose_prior(body_pose, betas) # Angle prior for knees and elbows angle_prior_loss = (angle_prior_weight ** 2) * angle_prior(body_pose).sum(dim=-1) # Regularizer to prevent betas from taking large values shape_prior_loss = (shape_prior_weight ** 2) * (betas ** 2).sum(dim=-1) total_loss = reprojection_loss.sum(dim=-1) + pose_prior_loss + angle_prior_loss + shape_prior_loss # Smooth 2d joint loss joint_conf_diff = joints_conf[1:] joints_2d_diff = projected_joints[1:] - projected_joints[:-1] smooth_j2d_loss = (joint_conf_diff ** 2) * joints_2d_diff.abs().sum(dim=-1) smooth_j2d_loss = torch.cat( [torch.zeros(1, smooth_j2d_loss.shape[1], device=body_pose.device), smooth_j2d_loss] ).sum(dim=-1) smooth_j2d_loss = (smooth_2d_weight ** 2) * smooth_j2d_loss # Smooth 3d joint loss joints_3d_diff = model_joints[1:] - model_joints[:-1] # joints_3d_diff = joints_3d_diff * 100. smooth_j3d_loss = (joint_conf_diff ** 2) * joints_3d_diff.abs().sum(dim=-1) smooth_j3d_loss = torch.cat( [torch.zeros(1, smooth_j3d_loss.shape[1], device=body_pose.device), smooth_j3d_loss] ).sum(dim=-1) smooth_j3d_loss = (smooth_3d_weight ** 2) * smooth_j3d_loss total_loss += smooth_j2d_loss + smooth_j3d_loss # print(f'joints: {reprojection_loss[0].sum().item():.2f}, ' # f'pose_prior: {pose_prior_loss[0].item():.2f}, ' # f'angle_prior: {angle_prior_loss[0].item():.2f}, ' # f'shape_prior: {shape_prior_loss[0].item():.2f}, ' # f'smooth_j2d: {smooth_j2d_loss.sum().item()}, ' # f'smooth_j3d: {smooth_j3d_loss.sum().item()}') if output == 'sum': return total_loss.sum() elif output == 'reprojection': return reprojection_loss def temporal_camera_fitting_loss(model_joints, camera_t, camera_t_est, camera_center, joints_2d, joints_conf, focal_length=5000, depth_loss_weight=100): """ Loss function for camera optimization. """ # Project model joints batch_size = model_joints.shape[0] rotation = torch.eye(3, device=model_joints.device).unsqueeze(0).expand(batch_size, -1, -1) projected_joints = perspective_projection(model_joints, rotation, camera_t, focal_length, camera_center) op_joints = ['OP RHip', 'OP LHip', 'OP RShoulder', 'OP LShoulder'] op_joints_ind = [JOINT_IDS[joint] for joint in op_joints] # gt_joints = ['Right Hip', 'Left Hip', 'Right Shoulder', 'Left Shoulder'] # gt_joints_ind = [constants.JOINT_IDS[joint] for joint in gt_joints] reprojection_error_op = (joints_2d[:, op_joints_ind] - projected_joints[:, op_joints_ind]) ** 2 # reprojection_error_gt = (joints_2d[:, gt_joints_ind] - # projected_joints[:, gt_joints_ind]) ** 2 # Check if for each example in the batch all 4 OpenPose detections are valid, otherwise use the GT detections # OpenPose joints are more reliable for this task, so we prefer to use them if possible is_valid = (joints_conf[:, op_joints_ind].min(dim=-1)[0][:, None, None] > 0).float() reprojection_loss = (is_valid * reprojection_error_op).sum(dim=(1, 2)) # Loss that penalizes deviation from depth estimate depth_loss = (depth_loss_weight ** 2) * (camera_t[:, 2] - camera_t_est[:, 2]) ** 2 total_loss = reprojection_loss + depth_loss return total_loss.sum()

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homography/__init__.py

exhaustin/pytorch-homography

8e4243069d3974115181e9df8301a412a8f07e93

[ "MIT" ]

null

homography/__init__.py

exhaustin/pytorch-homography

8e4243069d3974115181e9df8301a412a8f07e93

[ "MIT" ]

null

homography/__init__.py

exhaustin/pytorch-homography

8e4243069d3974115181e9df8301a412a8f07e93

[ "MIT" ]

null

from .planar import PlanarHomographyTransformer from .pointwise import PointwiseHomographyTransformer

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app/client/src/couchers/__init__.py

lpmi-13/couchers

4b69ed3192daede93d645b6c26f9acb3db03a2ea

[ "MIT" ]

null

app/client/src/couchers/__init__.py

lpmi-13/couchers

4b69ed3192daede93d645b6c26f9acb3db03a2ea

[ "MIT" ]

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2022-02-10T16:32:53.000Z

2022-03-28T13:43:24.000Z

app/client/src/couchers/__init__.py

lpmi-13/couchers

4b69ed3192daede93d645b6c26f9acb3db03a2ea

[ "MIT" ]

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from .client import get_client from .client import version as __version__ # noqa

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py

Python

CalibMuon/Configuration/python/CSC_FakeDBConditions_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

CalibMuon/Configuration/python/CSC_FakeDBConditions_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

CalibMuon/Configuration/python/CSC_FakeDBConditions_cff.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 from CalibMuon.CSCCalibration.CSCFakeDBGains_cfi import * from CalibMuon.CSCCalibration.CSCFakeDBPedestals_cfi import * from CalibMuon.CSCCalibration.CSCFakeDBNoiseMatrix_cfi import * from CalibMuon.CSCCalibration.CSCFakeDBCrosstalk_cfi import * from CalibMuon.CSCCalibration.CSC_BadChambers_cfi import *

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py

Python

clipboard_memo/__init__.py

arafsheikh/clipboard-memo

7e851b2e70063af878f0b8cef075f6923b2809cb

[ "MIT" ]

null

clipboard_memo/__init__.py

arafsheikh/clipboard-memo

7e851b2e70063af878f0b8cef075f6923b2809cb

[ "MIT" ]

null

clipboard_memo/__init__.py

arafsheikh/clipboard-memo

7e851b2e70063af878f0b8cef075f6923b2809cb

[ "MIT" ]

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from clipboard_memo.main import ClipboardMemo

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Python

HW7/SoKKoS/CW_7_2.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

null

HW7/SoKKoS/CW_7_2.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

null

HW7/SoKKoS/CW_7_2.py

kolyasalubov/Lv-677.PythonCore

c9f9107c734a61e398154a90b8a3e249276c2704

[ "MIT" ]

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2022-02-22T22:30:49.000Z

2022-03-28T12:51:19.000Z

def reverse_list(l): return list(reversed(l))

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py

Python

scripts/test_script.py

quantfiction/Modern-Renaissance

2b21003fc3bdb304a740687933f28923930cfb86

[ "BSD-3-Clause" ]

null

scripts/test_script.py

quantfiction/Modern-Renaissance

2b21003fc3bdb304a740687933f28923930cfb86

[ "BSD-3-Clause" ]

null

scripts/test_script.py

quantfiction/Modern-Renaissance

2b21003fc3bdb304a740687933f28923930cfb86

[ "BSD-3-Clause" ]

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2021-09-27T11:04:11.000Z

from modern_renaissance.log import logger_init from modern_renaissance.modern_renaissance import test_logger if __name__ == "__main__": test_logger()

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py

Python

scripts/configure-file.py

kasymovga/taisei

8aad971114186b0679ac5447381c427d7319fe21

[ "CC-BY-4.0" ]

573

2017-10-12T17:48:57.000Z

2022-03-28T05:44:43.000Z

scripts/configure-file.py

kasymovga/taisei

8aad971114186b0679ac5447381c427d7319fe21

[ "CC-BY-4.0" ]

153

2017-10-18T19:51:33.000Z

2022-03-31T11:06:40.000Z

scripts/configure-file.py

kasymovga/taisei

8aad971114186b0679ac5447381c427d7319fe21

[ "CC-BY-4.0" ]

72

2017-11-17T17:32:46.000Z

2022-03-23T11:36:33.000Z

#!/usr/bin/env python3 import taiseilib.common import taiseilib.configure taiseilib.common.run_main(taiseilib.configure.main)

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py

Python

transforms/noop.py

wikipathways/pathway-figure-ocr

970573463ca275de3aaf60df859b96868944dec1

[ "Apache-2.0" ]

8

2018-05-16T10:05:11.000Z

2020-11-12T23:37:03.000Z

transforms/noop.py

hiplot/pathway-figure-ocr

ca6c9cc526bcd90084e739cbae0885aa6a948af8

[ "Apache-2.0" ]

35

2018-03-24T02:21:22.000Z

2022-03-31T19:53:32.000Z

transforms/noop.py

hiplot/pathway-figure-ocr

ca6c9cc526bcd90084e739cbae0885aa6a948af8

[ "Apache-2.0" ]

4

2018-01-17T21:09:44.000Z

2020-11-09T15:02:46.000Z

def noop(x): return [x]

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py

Python

src/UcsSdk/utils/__init__.py

noironetworks/UcsPythonSDK

bf6b07d6abeacb922c92b198352eda4eb9e4629b

[ "Apache-2.0" ]

13

2015-01-16T15:36:56.000Z

2019-04-12T02:48:53.000Z

src/UcsSdk/utils/__init__.py

noironetworks/UcsPythonSDK

bf6b07d6abeacb922c92b198352eda4eb9e4629b

[ "Apache-2.0" ]

4

2015-06-12T03:36:11.000Z

2015-07-29T18:39:42.000Z

src/UcsSdk/utils/__init__.py

noironetworks/UcsPythonSDK

bf6b07d6abeacb922c92b198352eda4eb9e4629b

[ "Apache-2.0" ]

13

2015-07-01T09:17:37.000Z

2020-03-10T03:26:25.000Z

from exception import * from generic import * from helper import * from management import * from power import * from spmanager import *

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py

Python

dragoneye/__init__.py

tolidano/dragoneye

1340e2b1fdc1c80c7dbce5e8a6c7f4e28b16808d

[ "MIT" ]

23

2021-04-08T16:00:27.000Z

2022-03-03T22:01:42.000Z

dragoneye/__init__.py

mirzajb/dragoneye

c7593640093a9178a55dd32c738bbf0b1cf49d5e

[ "MIT" ]

70

2021-04-12T16:37:43.000Z

2022-01-17T11:33:58.000Z

dragoneye/__init__.py

mirzajb/dragoneye

c7593640093a9178a55dd32c738bbf0b1cf49d5e

[ "MIT" ]

7

2021-04-29T08:28:43.000Z

2022-03-03T22:01:45.000Z

from dragoneye.cloud_scanner.aws.aws_scan_settings import AwsCloudScanSettings from dragoneye.cloud_scanner.azure.azure_scan_settings import AzureCloudScanSettings from dragoneye.cloud_scanner.gcp.gcp_scan_settings import GcpCloudScanSettings from dragoneye.cloud_scanner.aws.aws_scanner import AwsScanner from dragoneye.cloud_scanner.azure.azure_scanner import AzureScanner from dragoneye.cloud_scanner.gcp.gcp_scanner import GcpScanner from dragoneye.cloud_scanner.aws.aws_session_factory import AwsSessionFactory from dragoneye.cloud_scanner.azure.azure_authorizer import AzureAuthorizer from dragoneye.cloud_scanner.gcp.gcp_credentials_factory import GcpCredentialsFactory from dragoneye.utils.app_logger import logger, add_file_handler

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py

Python

tests/tests_test_workflow/test_dependency_installer.py

owaiskazi19/opensearch-build

e162aec9bd59b795d8f35ae8202b24b75afe9376

[ "Apache-2.0" ]

null

tests/tests_test_workflow/test_dependency_installer.py

owaiskazi19/opensearch-build

e162aec9bd59b795d8f35ae8202b24b75afe9376

[ "Apache-2.0" ]

null

tests/tests_test_workflow/test_dependency_installer.py

owaiskazi19/opensearch-build

e162aec9bd59b795d8f35ae8202b24b75afe9376

[ "Apache-2.0" ]

null

import os import unittest from unittest.mock import MagicMock, patch from manifests.build_manifest import BuildManifest from manifests.bundle_manifest import BundleManifest from test_workflow.dependency_installer import DependencyInstaller class DependencyInstallerTests(unittest.TestCase): DATA = os.path.join(os.path.dirname(__file__), "data") BUILD_MANIFEST = os.path.join(DATA, "local", "builds", "manifest.yml") DIST_MANIFEST_LOCAL = os.path.join(DATA, "local", "dist", "manifest.yml") DIST_MANIFEST_REMOTE = os.path.join(DATA, "remote", "dist", "manifest.yml") @patch("concurrent.futures.ThreadPoolExecutor", return_value=MagicMock()) @patch("os.makedirs") @patch("shutil.copyfile") @patch("urllib.request.urlretrieve") def test_install_maven_dependencies_local(self, mock_request, mock_copyfile, mock_makedirs, mock_threadpool): def submit_and_run(callable, source, dest): # Filter down the actual calls to make analyzing failures easier if 'alerting-notification-1.2.0.0.jar' in source: return callable(source, dest) return None mock_threadpool.return_value.__enter__().submit.side_effect = submit_and_run dependency_installer = DependencyInstaller( self.DATA, BuildManifest.from_path(self.BUILD_MANIFEST), BundleManifest.from_path(self.DIST_MANIFEST_LOCAL) ) dependency_installer.install_maven_dependencies() self.assertEqual(mock_threadpool.call_count, 4) self.assertEqual(mock_threadpool().__enter__().submit.call_count, 2375) mock_makedirs.assert_called_with( os.path.realpath( os.path.join( dependency_installer.maven_local_path, "org", "opensearch", "notification" ) ), exist_ok=True ) mock_request.assert_not_called() mock_copyfile.assert_called_with( os.path.join(self.DATA, "builds", "maven", "org", "opensearch", "notification", "alerting-notification-1.2.0.0.jar"), os.path.realpath(os.path.join(dependency_installer.maven_local_path, "org", "opensearch", "notification", "alerting-notification-1.2.0.0.jar")) ) @patch("concurrent.futures.ThreadPoolExecutor", return_value=MagicMock()) @patch("os.makedirs") @patch("shutil.copyfile") @patch("urllib.request.urlretrieve") def test_install_maven_dependencies_remote(self, mock_request, mock_copyfile, mock_makedirs, mock_threadpool): def submit_and_run(callable, source, dest): # Filter down the actual calls to make analyzing failures easier if 'alerting-notification-1.2.0.0.jar' in source: return callable(source, dest) return None mock_threadpool.return_value.__enter__().submit.side_effect = submit_and_run dependency_installer = DependencyInstaller( "https://ci.opensearch.org/x/y", BuildManifest.from_path(self.BUILD_MANIFEST), BundleManifest.from_path(self.DIST_MANIFEST_REMOTE) ) dependency_installer.install_maven_dependencies() self.assertEqual(mock_threadpool.call_count, 4) self.assertEqual(mock_threadpool().__enter__().submit.call_count, 2375) mock_makedirs.assert_called_with( os.path.realpath( os.path.join( dependency_installer.maven_local_path, "org", "opensearch", "notification" ) ), exist_ok=True ) mock_copyfile.assert_not_called() mock_request.assert_called_with( "https://ci.opensearch.org/x/y/builds/maven/org/opensearch/notification/alerting-notification-1.2.0.0.jar", os.path.realpath(os.path.join(dependency_installer.maven_local_path, "org", "opensearch", "notification", "alerting-notification-1.2.0.0.jar")) ) @patch("os.makedirs") @patch("shutil.copyfile") @patch("urllib.request.urlretrieve") def test_install_build_dependencies_local(self, mock_request, mock_copyfile, mock_makedirs): dependency_installer = DependencyInstaller( self.DATA, BuildManifest.from_path(self.BUILD_MANIFEST), BundleManifest.from_path(self.DIST_MANIFEST_LOCAL) ) dependencies = dict({"opensearch-job-scheduler": "1.1.0.0"}) dependency_installer.install_build_dependencies(dependencies, os.path.dirname(__file__)) mock_makedirs.assert_called_with(os.path.dirname(__file__), exist_ok=True) mock_request.assert_not_called() mock_copyfile.assert_called_once_with( os.path.join(self.DATA, "builds", "plugins", "opensearch-job-scheduler-1.1.0.0.zip"), os.path.realpath(os.path.join(os.path.dirname(__file__), "opensearch-job-scheduler-1.1.0.0.zip")), ) @patch("os.makedirs") @patch("shutil.copyfile") @patch("urllib.request.urlretrieve") def test_install_build_dependencies_remote(self, mock_request, mock_copyfile, mock_makedirs): dependency_installer = DependencyInstaller( "https://ci.opensearch.org/x/y", BuildManifest.from_path(self.BUILD_MANIFEST), BundleManifest.from_path(self.DIST_MANIFEST_REMOTE) ) dependencies = dict({"opensearch-job-scheduler": "1.1.0.0"}) dependency_installer.install_build_dependencies(dependencies, os.path.dirname(__file__)) mock_makedirs.assert_called_with(os.path.dirname(__file__), exist_ok=True) mock_copyfile.assert_not_called() mock_request.assert_called_once_with( "https://ci.opensearch.org/x/y/builds/plugins/opensearch-job-scheduler-1.1.0.0.zip", os.path.realpath(os.path.join(os.path.dirname(__file__), "opensearch-job-scheduler-1.1.0.0.zip")), )

50.655172

155

0.686521

686

5,876

5.593294

0.14723

0.039093

0.031274

0.031014

0.899401

0.889497

0.870993

0.857441

0.851707

0

0.012309

0.198094

5,876

115

156

51.095652

0.801995

0.021273

0

0.638095

0

0.019048

0.187717

0.086813

0

0.152381

1

0.057143

false

0

0.057143

0

0.2

0

null

0

1

0

null

0

6

7a1a209eceeaddf6d57e6a293b2bf91189d2c971

154

py

Python

Apps/Users/admin.py

ResidenciApp/ResidenciAppServidor

7cc8c66bc07d198be37232fdc74d64227d14ce3d

[ "MIT" ]

2

2019-10-31T03:21:07.000Z

2019-12-11T16:25:33.000Z

Apps/Users/admin.py

ResidenciApp/ResidenciAppServidor

7cc8c66bc07d198be37232fdc74d64227d14ce3d

[ "MIT" ]

6

2021-03-19T02:43:26.000Z

2022-02-10T10:42:00.000Z

Apps/Users/admin.py

lmbaeza/ResidenciAppServidor

7cc8c66bc07d198be37232fdc74d64227d14ce3d

[ "MIT" ]

null

from django.contrib import admin from .models import People, Role, Owner admin.site.register(People) admin.site.register(Role) admin.site.register(Owner)

25.666667

39

0.811688

23

154

5.434783

0.478261

0.216

0.408

0

0.084416

154

6

40

25.666667

0.886525

0

1

0

true

0

0.4

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0

null

1

0

1

0

null

0

1

0

1

0

6

e16840bab4279636cd14663ac9df886384580195

159

py

Python

wot/__init__.py

gamazeps/wot

623bcdc78ad1fab43b3e05b467f961648741a7a0

[ "BSD-3-Clause" ]

null

wot/__init__.py

gamazeps/wot

623bcdc78ad1fab43b3e05b467f961648741a7a0

[ "BSD-3-Clause" ]

null

wot/__init__.py

gamazeps/wot

623bcdc78ad1fab43b3e05b467f961648741a7a0

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- import wot.io import wot.simulate import wot.tmap from .dataset_util import * from .gene_set_scores import * from .population import *

19.875

30

0.742138

24

159

4.791667

0.625

0.234783

0

0.007353

0.144654

159

7

31

22.714286

0.838235

0.132075

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

e16fe4bca4c3599f69b345146ecc0af6fdda7ab9

539

py

Python

cplxmodule/cplxmodule/nn/relevance/extensions/__init__.py

veya2ztn/mltool

4ed151152845ebe3de128e1f53c478581c1492e4

[ "IJG" ]

86

2019-04-25T06:23:40.000Z

2022-03-31T07:33:03.000Z

cplxmodule/cplxmodule/nn/relevance/extensions/__init__.py

veya2ztn/mltool

4ed151152845ebe3de128e1f53c478581c1492e4

[ "IJG" ]

20

2020-04-14T12:51:21.000Z

2022-01-08T11:33:03.000Z

cplxmodule/cplxmodule/nn/relevance/extensions/__init__.py

veya2ztn/mltool

4ed151152845ebe3de128e1f53c478581c1492e4

[ "IJG" ]

27

2019-04-26T13:48:01.000Z

2022-03-07T07:33:02.000Z

from .complex import CplxLinearVDScaleFree, CplxBilinearVDScaleFree from .complex import CplxConv1dVDScaleFree, CplxConv2dVDScaleFree from .complex import CplxConv3dVDScaleFree from .complex import CplxLinearVDApprox, CplxBilinearVDApprox from .complex import CplxConv1dVDApprox, CplxConv2dVDApprox from .complex import CplxConv3dVDApprox from .complex import CplxLinearVDBogus, CplxBilinearVDBogus from .complex import CplxConv1dVDBogus, CplxConv2dVDBogus from .complex import CplxConv3dVDBogus from .real import LinearL0, LinearLASSO

38.5

67

0.875696

47

539

10.042553

0.446809

0.209746

0.324153

0

0.02045

0.092764

539

13

68

41.461538

0.944785

0

1

0

true

0

1

0

1

0

1

null

1

0

null

0

1

0

1

0

1

0

6

e1b4678f08e02196877bfa09b181385c4a70511f

251

py

Python

psych_metric/distrib/bnn/__init__.py

prijatelj/bayesian_eval_ground_truth-free

c0e569c78d63beb79f5e1e727c322293c3584323

[ "MIT" ]

1

2021-12-26T05:55:46.000Z

psych_metric/distrib/bnn/__init__.py

prijatelj/bayesian_eval_ground_truth-free

c0e569c78d63beb79f5e1e727c322293c3584323

[ "MIT" ]

null

psych_metric/distrib/bnn/__init__.py

prijatelj/bayesian_eval_ground_truth-free

c0e569c78d63beb79f5e1e727c322293c3584323

[ "MIT" ]

null

from psych_metric.distrib.bnn import bnn_mcmc from psych_metric.distrib.bnn import mcmc # TODO need to fix the namespace such that only what I want from each file is # pulled into the package, not tensorflow as tf being accessible from these # files.

41.833333

77

0.804781

44

251

4.522727

0.75

0.090452

0.150754

0.221106

0.311558

0

0.159363

251

5

78

50.2

0.943128

0.621514

0

0.2

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

1

0

6

bede8a6d53f679171f5478a92fdb01557999677e

3,596

py

Python

hoomd/hpmc/test-py/get_type_shapes.py

PetersResearchGroup/PCND

584768cc683a6df0152ead69b567d05b781aab2b

[ "BSD-3-Clause" ]

1

2019-05-21T00:48:37.000Z

hoomd/hpmc/test-py/get_type_shapes.py

PetersResearchGroup/PCND

584768cc683a6df0152ead69b567d05b781aab2b

[ "BSD-3-Clause" ]

null

hoomd/hpmc/test-py/get_type_shapes.py

PetersResearchGroup/PCND

584768cc683a6df0152ead69b567d05b781aab2b

[ "BSD-3-Clause" ]

null

import hoomd from hoomd import hpmc import unittest hoomd.context.initialize() print(hoomd.__file__) class test_type_shapes(unittest.TestCase): def setUp(self): hoomd.context.initialize() def test_type_shapes_convex_polygon(self): box = hoomd.data.boxdim(10, dimensions=2) snap = hoomd.data.make_snapshot(N=2, box=box) snap.particles.types = ['A'] self.system = hoomd.init.read_snapshot(snap) self.mc = hpmc.integrate.convex_polygon(seed=10); test_verts = [(1, 0), (0, 1), (-1, -1)] self.mc.shape_param.set('A', vertices=test_verts) shape_types = self.mc.get_type_shapes() self.assertEqual(shape_types[0]['type'], 'Polygon') self.assertEqual(len(shape_types[0]['vertices']), 3) self.assertTrue(all([shape_types[0]['vertices'][i] == list(test_verts[i]) for i in range(len(test_verts))])) def test_type_shapes_simple_polygon(self): box = hoomd.data.boxdim(10, dimensions=2) snap = hoomd.data.make_snapshot(N=2, box=box) snap.particles.types = ['A'] self.system = hoomd.init.read_snapshot(snap) self.mc = hpmc.integrate.simple_polygon(seed=10); test_verts = [(1, 0), (0, 1), (-1, -1)] self.mc.shape_param.set('A', vertices=test_verts) shape_types = self.mc.get_type_shapes() self.assertEqual(shape_types[0]['type'], 'Polygon') self.assertEqual(len(shape_types[0]['vertices']), 3) self.assertTrue(all([shape_types[0]['vertices'][i] == list(test_verts[i]) for i in range(len(test_verts))])) def test_type_shapes_disks(self): box = hoomd.data.boxdim(10, dimensions=2) snap = hoomd.data.make_snapshot(N=2, box=box) snap.particles.types = ['A'] self.system = hoomd.init.read_snapshot(snap) self.mc = hpmc.integrate.sphere(seed=10); test_diam = 1 self.mc.shape_param.set('A', diameter = test_diam) shape_types = self.mc.get_type_shapes() self.assertEqual(shape_types[0]['type'], 'Disk') self.assertEqual(shape_types[0]['diameter'], test_diam) self.assertNotIn('vertices', shape_types[0]) def test_type_shapes_spheres(self): box = hoomd.data.boxdim(10, dimensions=3) snap = hoomd.data.make_snapshot(N=2, box=box) snap.particles.types = ['A'] self.system = hoomd.init.read_snapshot(snap) self.mc = hpmc.integrate.sphere(seed=10); test_diam = 1 self.mc.shape_param.set('A', diameter = test_diam) shape_types = self.mc.get_type_shapes() self.assertEqual(shape_types[0]['type'], 'Sphere') self.assertEqual(shape_types[0]['diameter'], test_diam) self.assertNotIn('vertices', shape_types[0]) def test_type_shapes_convex_polyhedron(self): box = hoomd.data.boxdim(10, dimensions=2) snap = hoomd.data.make_snapshot(N=2, box=box) snap.particles.types = ['A'] self.system = hoomd.init.read_snapshot(snap) self.mc = hpmc.integrate.convex_polyhedron(seed=10); test_verts = [(1, 0, 0), (0, 1, 0), (-1, -1, 0)] self.mc.shape_param.set('A', vertices=test_verts) shape_types = self.mc.get_type_shapes() self.assertEqual(shape_types[0]['type'], 'ConvexPolyhedron') self.assertEqual(len(shape_types[0]['vertices']), 3) self.assertTrue(all([shape_types[0]['vertices'][i] == list(test_verts[i]) for i in range(len(test_verts))])) def tearDown(self): del self.mc del self.system hoomd.context.initialize()

37.852632

116

0.639043

501

3,596

4.407186

0.135729

0.09058

0.074728

0.079257

0.872283

0.859149

0.835598

0

0.024912

0.207453

3,596

94

117

38.255319

0.749825

0

0.694444

0

0.041713

0

0.208333

1

0.097222

false

0

0.041667

0

0.152778

0.013889

0

null

0

1

0

null

0

6

8326ddf510cb2ac4bfebb8e8eb201634be85a4a4

3,844

py

Python

tests/api/test_unit_api.py

parkanaur/flask-dynrbac

8f2d3448b60a44f440813288979da008ee857bc2

[ "MIT" ]

null

tests/api/test_unit_api.py

parkanaur/flask-dynrbac

8f2d3448b60a44f440813288979da008ee857bc2

[ "MIT" ]

null

tests/api/test_unit_api.py

parkanaur/flask-dynrbac

8f2d3448b60a44f440813288979da008ee857bc2

[ "MIT" ]

null

from helpers import send_and_assert, send_request def test_get_list(sample_filled_app, api_url): app, db, rbac, dmg = sample_filled_app units = send_request(app, api_url + '/units').get_json() assert len(units) == 5 for unit in units: assert 'name' in unit assert 'id' in unit assert 'permissions' in unit assert len(unit['permissions']) >= 1 def test_get_unit(sample_filled_app, api_url): app, db, rbac, dmg = sample_filled_app r = send_request(app, api_url + '/units/1') assert r.status_code == 200, 'GOT ' + str(r.status_code) unit = r.get_json() assert 'name' in unit assert 'id' in unit assert unit['id'] == 1 assert 'permissions' in unit assert len(unit['permissions']) >= 1 def test_put_unit(sample_filled_app, api_url): app, db, rbac, dmg = sample_filled_app r = send_request(app, api_url + '/units/1', method='put', json={ 'name': 'unit_new_1', 'update_permissions': True, 'permission_ids': [1, 2, 3, 4], 'perms_all_required': True }) assert r.status_code == 204, 'GOT ' + str(r.status_code) + ' ' + r.data r = send_request(app, api_url + '/units/1') assert r.status_code == 200, 'GOT ' + str(r.status_code) unit = r.get_json() assert unit['name'] == 'unit_new_1' assert unit['perms_all_required'] == True for perm in unit['permissions']: assert perm['id'] in [1, 2, 3, 4] r = send_request(app, api_url + '/units/1', method='put', json={ 'permission_ids': [1] }) r = send_request(app, api_url + '/units/1') unit = r.get_json() assert unit['name'] == 'unit_new_1' assert unit['perms_all_required'] == True assert len(unit['permissions']) == 4 for perm in unit['permissions']: assert perm['id'] in [1, 2, 3, 4] r = send_request(app, api_url + '/units/1', method='put', json={ 'update_permissions': True, 'permission_ids': [1, 4], 'perms_all_required': False }) r = send_request(app, api_url + '/units/1') unit = r.get_json() assert len(unit['permissions']) == 2 assert unit['perms_all_required'] == False for perm in unit['permissions']: assert perm['id'] in [1, 4] def test_delete_unit(sample_filled_app, api_url): app, db, rbac, dmg = sample_filled_app r = send_request(app, api_url + '/units/1', method='delete') assert r.status_code == 204, 'GOT ' + str(r.status_code) + ' ' + r.data r = send_request(app, api_url + '/units/1') assert r.status_code == 404, 'GOT ' + str(r.status_code) + ' ' + r.data def test_create_unit(sample_filled_app, api_url): app, db, rbac, dmg = sample_filled_app r = send_request(app, api_url + '/units', method='post', json={ 'name': 'new_unit_create', 'permission_ids': [1, 2, 3] }) assert r.status_code == 200, 'GOT ' + str(r.status_code) + ' ' + r.data uid = r.get_json()['id'] r = send_request(app, api_url + '/units/' + str(uid)) assert r.status_code == 200, 'GOT ' + str(r.status_code) + ' ' + r.data unit = r.get_json() assert unit['name'] == 'new_unit_create' assert unit['id'] == uid assert len(unit['permissions']) == 3 def test_create_empty_unit(sample_filled_app, api_url): app, db, rbac, dmg = sample_filled_app r = send_request(app, api_url + '/units', method='post', json={ 'name': 'new_unit_create_empty' }) assert r.status_code == 200, 'GOT ' + str(r.status_code) + ' ' + r.data uid = r.get_json()['id'] r = send_request(app, api_url + '/units/' + str(uid)) assert r.status_code == 200, 'GOT ' + str(r.status_code) + ' ' + r.data unit = r.get_json() assert unit['name'] == 'new_unit_create_empty' assert unit['id'] == uid assert len(unit['permissions']) == 0

32.854701

75

0.609521

572

3,844

3.863636

0.104895

0.054299

0.081448

0.107692

0.88371

0.852036

0.804525

0.79457

0.759276

0.732127

0

0.022597

0.228668

3,844

116

76

33.137931

0.722766

0

0.666667

0

0.164152

0.010926

0

0.4

1

0.066667

false

0

0.011111

0

0.077778

0

null

0

1

0

null

0

6

83388f36270ccc688c2a84f76c09beb4006e37c4

961

py

Python

test/dataTables.py

Tythos/pyroclast

b4c65db644573e3d7f568e498d37e10d363b13a3

[ "MIT" ]

2

2017-04-09T05:22:38.000Z

2017-10-12T04:28:10.000Z

test/dataTables.py

Tythos/pyroclast

b4c65db644573e3d7f568e498d37e10d363b13a3

[ "MIT" ]

null

test/dataTables.py

Tythos/pyroclast

b4c65db644573e3d7f568e498d37e10d363b13a3

[ "MIT" ]

null

"""Unit tests for flat data table parsing """ import unittest from pyroclast import data, dataTables class CsvTests(unittest.TestCase): def test_get(self): file = data.get_path('test.csv') content = dataTables.getCsv(file) def test_filter(self): file = data.get_path('test.csv') content = dataTables.getCsv(file, {'isPrime': True}) class ExcelTests(unittest.TestCase): def test_get(self): file = data.get_path('test.xlsx') content = dataTables.getExcel(file) def test_filter(self): file = data.get_path('test.xlsx') content = dataTables.getExcel(file, {'_sheet': 'Sheet1', 'isPrime': True}) class SqliteTests(unittest.TestCase): def test_get(self): file = data.get_path('test.sql') content = dataTables.getSqlite(file, {'_table': 'Sheet1'}) def test_filter(self): file = data.get_path('test.sql') content = dataTables.getSqlite(file, {'_table': 'Sheet1', 'isPrime': True}) if __name__ == "__main__": unittest.main()

26.694444

77

0.708637

127

961

5.181102

0.299213

0.06383

0.109422

0.136778

0.712766

0.693009

0

0.003614

0.136316

961

35

78

27.457143

0.789157

0.039542

0

0.48

0

0.125546

0

1

0.24

false

0

0.08

0

0.44

0

null

0

1

0

null

0

1

0

6

833e9c500a3af362722ced99e9c1041986e57180

242

py

Python

backend/users/fixtures.py

hnthh/foodgram-project-react

3383c6a116fded11b4a764b95e6ca4ead03444f3

[ "MIT" ]

1

2022-02-09T10:42:45.000Z

backend/users/fixtures.py

hnthh/foodgram

3383c6a116fded11b4a764b95e6ca4ead03444f3

[ "MIT" ]

null

backend/users/fixtures.py

hnthh/foodgram

3383c6a116fded11b4a764b95e6ca4ead03444f3

[ "MIT" ]

null

import pytest @pytest.fixture() def anon(factory): return factory.anon() @pytest.fixture() def user(factory): return factory.user() @pytest.fixture() def admin(factory): return factory.user(is_staff=True, is_superuser=True)

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